EvalData commited on
Commit
285f7ca
·
verified ·
1 Parent(s): 0723c9c

Initial release: BCCT-Hub dataset for NeurIPS 2026 E&D Track

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. LICENSE +203 -0
  2. README.md +173 -0
  3. data/atlas.json +2952 -0
  4. data/audio_atlas.json +378 -0
  5. data/audio_bitrate_sweep.json +354 -0
  6. data/audio_features/extraction.log +0 -0
  7. data/audio_features/hubert-base.pt +3 -0
  8. data/audio_features/hubert-large.pt +3 -0
  9. data/audio_features/wav2vec2-base.pt +3 -0
  10. data/audio_features/wav2vec2-large.pt +3 -0
  11. data/audio_features/whisper-base.pt +3 -0
  12. data/audio_features/whisper-small.pt +3 -0
  13. data/bitrate_estimator_robustness.json +0 -0
  14. data/cifar100_test_labels.pt +3 -0
  15. data/cifar100_train_labels.pt +3 -0
  16. data/croissant.json +318 -0
  17. data/experiments/bitrate_experiment.json +1268 -0
  18. data/experiments/bitrate_experiment_full.json +1268 -0
  19. data/experiments/causal_bitrate_verification.json +2334 -0
  20. data/experiments/cross_modal_clip.json +40 -0
  21. data/experiments/external_scorecard_study.json +325 -0
  22. data/experiments/holdout_validation.json +776 -0
  23. data/experiments/knn_sensitivity.json +464 -0
  24. data/experiments/metric_ablation.json +111 -0
  25. data/experiments/mixed_effects_analysis.json +219 -0
  26. data/experiments/model_selection_utility.json +1062 -0
  27. data/experiments/p1_threshold.json +2928 -0
  28. data/experiments/probe_variance.json +726 -0
  29. data/experiments/rebuttal_pack.json +38 -0
  30. data/experiments/regime_clustering.json +39 -0
  31. data/experiments/retrieval_downstream.json +507 -0
  32. data/experiments/statistical_significance.json +87 -0
  33. data/experiments/stitching_validation.json +278 -0
  34. data/experiments/tau_vs_cka_divergence.json +156 -0
  35. data/features/beit_base_patch16_224.pt +3 -0
  36. data/features/beit_large_patch16_224.pt +3 -0
  37. data/features/clip_vitb16.pt +3 -0
  38. data/features/clip_vitb16_text.pt +3 -0
  39. data/features/clip_vitb32.pt +3 -0
  40. data/features/clip_vitl14.pt +3 -0
  41. data/features/clip_vitl14_text.pt +3 -0
  42. data/features/convnext_base.pt +3 -0
  43. data/features/convnext_large.pt +3 -0
  44. data/features/dinov2_vitb14.pt +3 -0
  45. data/features/dinov2_vitg14.pt +3 -0
  46. data/features/dinov2_vitl14.pt +3 -0
  47. data/features/dinov2_vits14.pt +3 -0
  48. data/features/efficientnet_b0.pt +3 -0
  49. data/features/mixer_b16_224.pt +3 -0
  50. data/features/resnet101.pt +3 -0
LICENSE ADDED
@@ -0,0 +1,203 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Apache License
2
+ Version 2.0, January 2004
3
+ http://www.apache.org/licenses/
4
+
5
+ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
6
+
7
+ 1. Definitions.
8
+
9
+ "License" shall mean the terms and conditions for use, reproduction,
10
+ and distribution as defined by Sections 1 through 9 of this document.
11
+
12
+ "Licensor" shall mean the copyright owner or entity authorized by
13
+ the copyright owner that is granting the License.
14
+
15
+ "Legal Entity" shall mean the union of the acting entity and all
16
+ other entities that control, are controlled by, or are under common
17
+ control with that entity. For the purposes of this definition,
18
+ "control" means (i) the power, direct or indirect, to cause the
19
+ direction or management of such entity, whether by contract or
20
+ otherwise, or (ii) ownership of fifty percent (50%) or more of the
21
+ outstanding shares, or (iii) beneficial ownership of such entity.
22
+
23
+ "You" (or "Your") shall mean an individual or Legal Entity
24
+ exercising permissions granted by this License.
25
+
26
+ "Source" form shall mean the preferred form for making modifications,
27
+ including but not limited to software source code, documentation
28
+ source, and configuration files.
29
+
30
+ "Object" form shall mean any form resulting from mechanical
31
+ transformation or translation of a Source form, including but
32
+ not limited to compiled object code, generated documentation,
33
+ and conversions to other media types.
34
+
35
+ "Work" shall mean the work of authorship, whether in Source or
36
+ Object form, made available under the License, as indicated by a
37
+ copyright notice that is included in or attached to the work
38
+ (an example is provided in the Appendix below).
39
+
40
+ "Derivative Works" shall mean any work, whether in Source or Object
41
+ form, that is based on (or derived from) the Work and for which the
42
+ editorial revisions, annotations, elaborations, or other modifications
43
+ represent, as a whole, an original work of authorship. For the purposes
44
+ of this License, Derivative Works shall not include works that remain
45
+ separable from, or merely link (or bind by name) to the interfaces of,
46
+ the Work and Derivative Works thereof.
47
+
48
+ "Contribution" shall mean any work of authorship, including
49
+ the original version of the Work and any modifications or additions
50
+ to that Work or Derivative Works thereof, that is intentionally
51
+ submitted to Licensor for inclusion in the Work by the copyright owner
52
+ or by an individual or Legal Entity authorized to submit on behalf of
53
+ the copyright owner. For the purposes of this definition, "submitted"
54
+ means any form of electronic, verbal, or written communication sent
55
+ to the Licensor or its representatives, including but not limited to
56
+ communication on electronic mailing lists, source code control systems,
57
+ and issue tracking systems that are managed by, or on behalf of, the
58
+ Licensor for the purpose of tracking or improving the Work, but
59
+ excluding communication that is conspicuously marked or otherwise
60
+ designated in writing by the copyright owner as "Not a Contribution."
61
+
62
+ "Contributor" shall mean Licensor and any individual or Legal Entity
63
+ on behalf of whom a Contribution has been received by Licensor and
64
+ subsequently incorporated within the Work.
65
+
66
+ 2. Grant of Copyright License. Subject to the terms and conditions of
67
+ this License, each Contributor hereby grants to You a perpetual,
68
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
69
+ copyright license to reproduce, prepare Derivative Works of,
70
+ publicly display, publicly perform, sublicense, and distribute the
71
+ Work and such Derivative Works in Source or Object form.
72
+
73
+ 3. Grant of Patent License. Subject to the terms and conditions of
74
+ this License, each Contributor hereby grants to You a perpetual,
75
+ worldwide, non-exclusive, no-charge, royalty-free, irrevocable
76
+ (except as stated in this section) patent license to make, have made,
77
+ use, offer to sell, sell, import, and otherwise transfer the Work,
78
+ where such license applies only to those patent claims licensable
79
+ by such Contributor that are necessarily infringed by their
80
+ Contribution(s) alone or by combination of their Contribution(s)
81
+ with the Work to which such Contribution(s) was submitted. If You
82
+ institute patent litigation against any entity (including a
83
+ cross-claim or counterclaim in a lawsuit) alleging that the Work
84
+ or a Contribution incorporated within the Work constitutes direct
85
+ or contributory patent infringement, then any patent licenses
86
+ granted to You under this License for that Work shall terminate
87
+ as of the date such litigation is filed.
88
+
89
+ 4. Redistribution. You may reproduce and distribute copies of the
90
+ Work or Derivative Works thereof in any medium, with or without
91
+ modifications, and in Source or Object form, provided that You
92
+ meet the following conditions:
93
+
94
+ (a) You must give any other recipients of the Work or
95
+ Derivative Works a copy of this License; and
96
+
97
+ (b) You must cause any modified files to carry prominent notices
98
+ stating that You changed the files; and
99
+
100
+ (c) You must retain, in the Source form of any Derivative Works
101
+ that You distribute, all copyright, patent, trademark, and
102
+ attribution notices from the Source form of the Work,
103
+ excluding those notices that do not pertain to any part of
104
+ the Derivative Works; and
105
+
106
+ (d) If the Work includes a "NOTICE" text file as part of its
107
+ distribution, then any Derivative Works that You distribute must
108
+ include a readable copy of the attribution notices contained
109
+ within such NOTICE file, excluding those notices that do not
110
+ pertain to any part of the Derivative Works, in at least one
111
+ of the following places: within a NOTICE text file distributed
112
+ as part of the Derivative Works; within the Source form or
113
+ documentation, if provided along with the Derivative Works; or,
114
+ within a display generated by the Derivative Works, if and
115
+ wherever such third-party notices normally appear. The contents
116
+ of the NOTICE file are for informational purposes only and
117
+ do not modify the License. You may add Your own attribution
118
+ notices within Derivative Works that You distribute, alongside
119
+ or as an addendum to the NOTICE text from the Work, provided
120
+ that such additional attribution notices cannot be construed
121
+ as modifying the License.
122
+
123
+ You may add Your own copyright statement to Your modifications and
124
+ may provide additional or different license terms and conditions
125
+ for use, reproduction, or distribution of Your modifications, or
126
+ for any such Derivative Works as a whole, provided Your use,
127
+ reproduction, and distribution of the Work otherwise complies with
128
+ the conditions stated in this License.
129
+
130
+ 5. Submission of Contributions. Unless You explicitly state otherwise,
131
+ any Contribution intentionally submitted for inclusion in the Work
132
+ by You to the Licensor shall be under the terms and conditions of
133
+ this License, without any additional terms or conditions.
134
+ Notwithstanding the above, nothing herein shall supersede or modify
135
+ the terms of any separate license agreement you may have executed
136
+ with Licensor regarding such Contributions.
137
+
138
+ 6. Trademarks. This License does not grant permission to use the trade
139
+ names, trademarks, service marks, or product names of the Licensor,
140
+ except as required for describing the origin of the Work and
141
+ reproducing the content of the NOTICE file.
142
+
143
+ 7. Disclaimer of Warranty. Unless required by applicable law or
144
+ agreed to in writing, Licensor provides the Work (and each
145
+ Contributor provides its Contributions) on an "AS IS" BASIS,
146
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
147
+ implied, including, without limitation, any warranties or conditions
148
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
149
+ PARTICULAR PURPOSE. You are solely responsible for determining the
150
+ appropriateness of using or redistributing the Work and assume any
151
+ risks associated with Your exercise of permissions under this License.
152
+
153
+ 8. Limitation of Liability. In no event and under no legal theory,
154
+ whether in tort (including negligence), contract, or otherwise,
155
+ unless required by applicable law (such as deliberate and grossly
156
+ negligent acts) or agreed to in writing, shall any Contributor be
157
+ liable to You for damages, including any direct, indirect, special,
158
+ incidental, or consequential damages of any character arising as a
159
+ result of this License or out of the use or inability to use the
160
+ Work (including but not limited to damages for loss of goodwill,
161
+ work stoppage, computer failure or malfunction, or any and all
162
+ other commercial damages or losses), even if such Contributor
163
+ has been advised of the possibility of such damages.
164
+
165
+ 9. Accepting Warranty or Support. While redistributing
166
+ the Work or Derivative Works thereof, You may choose to offer,
167
+ and charge a fee for, acceptance of support, warranty, indemnity,
168
+ or other liability obligations and/or rights consistent with this
169
+ License. However, in accepting such obligations, You may act only
170
+ on Your own behalf and on Your sole responsibility, not on behalf
171
+ of any other Contributor, and only if You agree to indemnify,
172
+ defend, and hold each Contributor harmless for any liability
173
+ incurred by, or claims asserted against, such Contributor by reason
174
+ of your accepting any such warranty or support.
175
+
176
+ END OF TERMS AND CONDITIONS
177
+
178
+ APPENDIX: How to apply the Apache License to your work.
179
+
180
+ To apply the Apache License to your work, attach the following
181
+ boilerplate notice, with the fields enclosed by brackets "[]"
182
+ replaced with your own identifying information. (Don't include
183
+ the brackets!) The text should be enclosed in the appropriate
184
+ comment syntax for the file format. We also recommend that a
185
+ file or class name and description of purpose be included on the
186
+ same "printed page" as the copyright notice for easier
187
+ identification within third-party archives.
188
+
189
+ Copyright [yyyy] [name of copyright owner]
190
+
191
+ Licensed under the Apache License, Version 2.0 (the "License");
192
+ you may not use this file except in compliance with the License.
193
+ You may obtain a copy of the License at
194
+
195
+ http://www.apache.org/licenses/LICENSE-2.0
196
+
197
+ Unless required by applicable law or agreed to in writing, software
198
+ distributed under the License is distributed on an "AS IS" BASIS,
199
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
200
+ implied, including, without limitation, any warranties or conditions
201
+ of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
202
+ PARTICULAR PURPOSE. See the License for the specific language
203
+ governing permissions and limitations under this License.
README.md ADDED
@@ -0,0 +1,173 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ language:
4
+ - en
5
+ pretty_name: BCCT-Hub
6
+ tags:
7
+ - representation-similarity
8
+ - representation-convergence
9
+ - cross-model-transport
10
+ - benchmark
11
+ - alignment
12
+ - evaluation
13
+ - neurips-2026
14
+ size_categories:
15
+ - 1K<n<10K
16
+ task_categories:
17
+ - feature-extraction
18
+ configs:
19
+ - config_name: vision_atlas
20
+ data_files:
21
+ - split: pairs
22
+ path: atlas.json
23
+ - config_name: llm_atlas
24
+ data_files:
25
+ - split: pairs
26
+ path: llm_atlas.json
27
+ - config_name: audio_atlas
28
+ data_files:
29
+ - split: pairs
30
+ path: audio_atlas.json
31
+ - config_name: video_atlas
32
+ data_files:
33
+ - split: pairs
34
+ path: video_atlas.json
35
+ - config_name: meta_analysis
36
+ data_files:
37
+ - split: papers
38
+ path: meta_analysis.csv
39
+ ---
40
+
41
+ # BCCT-Hub
42
+
43
+ A benchmark and evaluation dataset for measuring **representation convergence
44
+ and cross-model transport** across pretrained encoders. Released alongside the
45
+ NeurIPS 2026 Evaluations & Datasets Track submission *"BCCT-Hub: A Benchmark
46
+ and Toolkit for Measuring Representation Convergence Across Model Families."*
47
+
48
+ The dataset packages four pre-computed pairwise compatibility atlases, 41
49
+ pre-extracted feature tensors, statistical-analysis JSON outputs, an 88-paper
50
+ meta-analysis CSV, and a Croissant 1.0 metadata file with the five
51
+ Responsible-AI fields required by the NeurIPS 2026 E&D Track.
52
+
53
+ ## Atlas summary
54
+
55
+ | Atlas | Pairs | Models | Source data |
56
+ |---|---|---|---|
57
+ | `atlas.json` (vision) | 190 | 20 vision encoders | CIFAR-100 test (5000 images) |
58
+ | `llm_atlas.json` | 36 | 9 base LLMs | WikiText-103 (2000 passages of 128 tokens) |
59
+ | `audio_atlas.json` (preliminary) | 15 | 6 audio encoders | LibriSpeech test-clean |
60
+ | `video_atlas.json` (exploratory) | 15 | 6 video encoders | STL-10 pseudo-clips |
61
+ | `meta_analysis.csv` | — | 88 papers tagged | Survey extraction |
62
+
63
+ Each pairwise record carries six BCCT quantities:
64
+ **R** (effective-rank bitrate proxy), **τ** (bidirectional Procrustes-vs-MLP
65
+ transport linearity score), **λ** (alignment locality), **TAI** (transport
66
+ asymmetry), **Δ** (bottleneck mismatch), and a **regime** label in
67
+ {Collapsed, Local-Only, Convergent, Divergent}.
68
+
69
+ ## Headline empirical results
70
+
71
+ - **Family is the strongest predictor of transport success:** mixed-effects
72
+ random-intercept LMM with both models in each pair contributing as random
73
+ effects yields β_family = 0.20 (p < 10⁻¹⁶), β_Δ = −0.034 (LRT χ² = 55.1,
74
+ p < 10⁻¹³), β_objective = 0.042 (p = 0.023).
75
+ - **The bitrate–transport association survives dependence-aware resampling:**
76
+ block-bootstrap ρ = −0.70, 95 % CI [−0.82, −0.43].
77
+ - **S_local predicts cross-encoder k-NN retrieval:** raw ρ = 0.76 (p =
78
+ 1.1 × 10⁻⁴; Benjamini–Hochberg-adjusted p = 1.7 × 10⁻³ across 15 retrieval
79
+ correlations, 9/15 significant).
80
+
81
+ ## Repository layout
82
+
83
+ ```
84
+ data/
85
+ ├── atlas.json (vision; 190 pairs)
86
+ ├── llm_atlas.json (language; 36 pairs)
87
+ ├── audio_atlas.json (preliminary; 15 pairs)
88
+ ├── video_atlas.json (exploratory; 15 pairs)
89
+ ├── croissant.json (Croissant 1.0 + RAI fields)
90
+ ├── meta_analysis.csv (88-paper survey)
91
+ ├── bitrate_estimator_robustness.json
92
+ ├── audio_bitrate_sweep.json
93
+ ├── stl10_vs_cifar100_comparison.json
94
+ ├── cifar100_{test,train}_labels.pt (paired CIFAR-100 labels)
95
+ ├── experiments/ (mixed-effects, holdout, retrieval, stitching, ...)
96
+ ├── features/ (vision: 20 encoders × 5000 CIFAR-100 test)
97
+ ├── features_train/ (vision: 20 encoders × 5000 CIFAR-100 train, seed=42)
98
+ ├── features_external/ (5 out-of-atlas encoders for the case study)
99
+ ├── features_stl10/ (vision robustness check)
100
+ └── audio_features/ (6 audio encoders × LibriSpeech test-clean)
101
+ ```
102
+
103
+ ## Croissant 1.0 metadata
104
+
105
+ The dataset ships with a validated Croissant file
106
+ ([`data/croissant.json`](data/croissant.json), 17 KB). It declares SHA-256
107
+ hashes for each atlas, a `conformsTo: http://mlcommons.org/croissant/1.0`
108
+ header, and the five Responsible-AI fields required by the NeurIPS 2026
109
+ Evaluations & Datasets Track (`rai:dataLimitations`, `rai:dataBiases`,
110
+ `rai:dataPersonalSensitiveInformation`, `rai:dataUseCases`,
111
+ `rai:dataSocialImpact`). The file passes the official validator:
112
+
113
+ ```bash
114
+ pip install mlcroissant
115
+ mlcroissant validate --jsonld data/croissant.json
116
+ # → "Done." (zero errors)
117
+ ```
118
+
119
+ ## Intended uses
120
+
121
+ 1. Compatibility screening between candidate model pairs prior to
122
+ model-stitching or knowledge-transfer experiments.
123
+ 2. Reproducing and auditing the headline statistical findings of the paper.
124
+ 3. Extending the atlas with new encoders by re-running the extraction pipeline
125
+ in the companion code repository.
126
+ 4. Regression testing for representation-similarity research that builds on
127
+ CKA, mutual k-NN, Procrustes-based transport, or effective-rank proxies.
128
+
129
+ ## Out-of-scope uses (not validated, not recommended)
130
+
131
+ - Deployment-time decisions about whether two production models are
132
+ interchangeable in a downstream application.
133
+ - Safety or fairness certification of any individual encoder.
134
+ - Inference about model training data, intellectual property, or copyright
135
+ provenance from feature-space similarity.
136
+
137
+ BCCT scores are diagnostic summaries for comparative research, **not deployment
138
+ guarantees**. See `data/croissant.json` `rai:dataSocialImpact` for the full
139
+ scope statement.
140
+
141
+ ## Source-data licensing
142
+
143
+ The dataset redistributes only **deterministic numerical activations and
144
+ per-pair metric outputs**, never source images, audio, or text. Upstream
145
+ benchmarks remain under their original licenses:
146
+
147
+ - CIFAR-100: MIT-style permissive
148
+ - STL-10: permissive (Coates et al., 2011)
149
+ - WikiText-103: CC BY-SA 3.0
150
+ - LibriSpeech test-clean: CC BY 4.0
151
+
152
+ Our derivative numerical artifacts are released under **Apache-2.0** (see
153
+ `LICENSE`).
154
+
155
+ ## Companion artifacts
156
+
157
+ - Code repository (toolkit + paper source): <https://github.com/evaldataset/BCCT-Hub>
158
+ - Anonymous mirror used during NeurIPS review:
159
+ <https://anonymous.4open.science/r/bcct-hub>
160
+
161
+ ## Citation
162
+
163
+ If you use BCCT-Hub in your research, please cite the accompanying paper:
164
+
165
+ ```bibtex
166
+ @misc{bcct_hub_2026,
167
+ title = {{BCCT-Hub}: A Benchmark and Toolkit for Measuring Representation
168
+ Convergence Across Model Families},
169
+ author = {Anonymous Authors},
170
+ year = {2026},
171
+ note = {NeurIPS 2026 Evaluations \& Datasets Track (under review)}
172
+ }
173
+ ```
data/atlas.json ADDED
@@ -0,0 +1,2952 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "models": {
3
+ "beit_base_patch16_224": {
4
+ "metrics": {
5
+ "bitrate": 5.866,
6
+ "effective_rank": 58.31,
7
+ "dim": 768,
8
+ "n_samples": 5000
9
+ },
10
+ "config": {
11
+ "family": "beit",
12
+ "objective": "self-supervised",
13
+ "dim": 768,
14
+ "source": "timm"
15
+ }
16
+ },
17
+ "beit_large_patch16_224": {
18
+ "metrics": {
19
+ "bitrate": 6.555,
20
+ "effective_rank": 94.0,
21
+ "dim": 1024,
22
+ "n_samples": 5000
23
+ },
24
+ "config": {
25
+ "family": "beit",
26
+ "objective": "self-supervised",
27
+ "dim": 1024,
28
+ "source": "timm"
29
+ }
30
+ },
31
+ "clip_vitb16": {
32
+ "metrics": {
33
+ "bitrate": 6.841,
34
+ "effective_rank": 114.63,
35
+ "dim": 512,
36
+ "n_samples": 5000
37
+ },
38
+ "config": {
39
+ "family": "clip",
40
+ "objective": "contrastive",
41
+ "dim": 512,
42
+ "source": "transformers"
43
+ }
44
+ },
45
+ "clip_vitb32": {
46
+ "metrics": {
47
+ "bitrate": 6.855,
48
+ "effective_rank": 115.75,
49
+ "dim": 512,
50
+ "n_samples": 5000
51
+ },
52
+ "config": {
53
+ "family": "clip",
54
+ "objective": "contrastive",
55
+ "dim": 512,
56
+ "source": "transformers"
57
+ }
58
+ },
59
+ "clip_vitl14": {
60
+ "metrics": {
61
+ "bitrate": 7.442,
62
+ "effective_rank": 173.89,
63
+ "dim": 768,
64
+ "n_samples": 5000
65
+ },
66
+ "config": {
67
+ "family": "clip",
68
+ "objective": "contrastive",
69
+ "dim": 768,
70
+ "source": "transformers"
71
+ }
72
+ },
73
+ "convnext_base": {
74
+ "metrics": {
75
+ "bitrate": 8.241,
76
+ "effective_rank": 302.58,
77
+ "dim": 1024,
78
+ "n_samples": 5000
79
+ },
80
+ "config": {
81
+ "family": "supervised",
82
+ "objective": "supervised",
83
+ "dim": 1024,
84
+ "source": "timm"
85
+ }
86
+ },
87
+ "convnext_large": {
88
+ "metrics": {
89
+ "bitrate": 8.485,
90
+ "effective_rank": 358.18,
91
+ "dim": 1536,
92
+ "n_samples": 5000
93
+ },
94
+ "config": {
95
+ "family": "supervised",
96
+ "objective": "supervised",
97
+ "dim": 1536,
98
+ "source": "timm"
99
+ }
100
+ },
101
+ "dinov2_vitb14": {
102
+ "metrics": {
103
+ "bitrate": 8.6,
104
+ "effective_rank": 388.13,
105
+ "dim": 768,
106
+ "n_samples": 5000
107
+ },
108
+ "config": {
109
+ "family": "dinov2",
110
+ "objective": "self-supervised",
111
+ "dim": 768,
112
+ "source": "torch.hub"
113
+ }
114
+ },
115
+ "dinov2_vitg14": {
116
+ "metrics": {
117
+ "bitrate": 9.055,
118
+ "effective_rank": 531.78,
119
+ "dim": 1536,
120
+ "n_samples": 5000
121
+ },
122
+ "config": {
123
+ "family": "dinov2",
124
+ "objective": "self-supervised",
125
+ "dim": 1536,
126
+ "source": "torch.hub"
127
+ }
128
+ },
129
+ "dinov2_vitl14": {
130
+ "metrics": {
131
+ "bitrate": 8.963,
132
+ "effective_rank": 499.11,
133
+ "dim": 1024,
134
+ "n_samples": 5000
135
+ },
136
+ "config": {
137
+ "family": "dinov2",
138
+ "objective": "self-supervised",
139
+ "dim": 1024,
140
+ "source": "torch.hub"
141
+ }
142
+ },
143
+ "dinov2_vits14": {
144
+ "metrics": {
145
+ "bitrate": 7.752,
146
+ "effective_rank": 215.52,
147
+ "dim": 384,
148
+ "n_samples": 5000
149
+ },
150
+ "config": {
151
+ "family": "dinov2",
152
+ "objective": "self-supervised",
153
+ "dim": 384,
154
+ "source": "torch.hub"
155
+ }
156
+ },
157
+ "efficientnet_b0": {
158
+ "metrics": {
159
+ "bitrate": 8.228,
160
+ "effective_rank": 299.91,
161
+ "dim": 1280,
162
+ "n_samples": 5000
163
+ },
164
+ "config": {
165
+ "family": "supervised",
166
+ "objective": "supervised",
167
+ "dim": 1280,
168
+ "source": "timm"
169
+ }
170
+ },
171
+ "mixer_b16_224": {
172
+ "metrics": {
173
+ "bitrate": 8.037,
174
+ "effective_rank": 262.71,
175
+ "dim": 768,
176
+ "n_samples": 5000
177
+ },
178
+ "config": {
179
+ "family": "mlpmixer",
180
+ "objective": "supervised",
181
+ "dim": 768,
182
+ "source": "timm"
183
+ }
184
+ },
185
+ "resnet101": {
186
+ "metrics": {
187
+ "bitrate": 8.594,
188
+ "effective_rank": 386.42,
189
+ "dim": 2048,
190
+ "n_samples": 5000
191
+ },
192
+ "config": {
193
+ "family": "supervised",
194
+ "objective": "supervised",
195
+ "dim": 2048,
196
+ "source": "timm"
197
+ }
198
+ },
199
+ "resnet50": {
200
+ "metrics": {
201
+ "bitrate": 8.105,
202
+ "effective_rank": 275.3,
203
+ "dim": 2048,
204
+ "n_samples": 5000
205
+ },
206
+ "config": {
207
+ "family": "supervised",
208
+ "objective": "supervised",
209
+ "dim": 2048,
210
+ "source": "timm"
211
+ }
212
+ },
213
+ "swin_base_patch4_window7_224": {
214
+ "metrics": {
215
+ "bitrate": 8.398,
216
+ "effective_rank": 337.42,
217
+ "dim": 1024,
218
+ "n_samples": 5000
219
+ },
220
+ "config": {
221
+ "family": "supervised",
222
+ "objective": "supervised",
223
+ "dim": 1024,
224
+ "source": "timm"
225
+ }
226
+ },
227
+ "vit_base_patch16_224": {
228
+ "metrics": {
229
+ "bitrate": 7.77,
230
+ "effective_rank": 218.2,
231
+ "dim": 768,
232
+ "n_samples": 5000
233
+ },
234
+ "config": {
235
+ "family": "supervised",
236
+ "objective": "supervised",
237
+ "dim": 768,
238
+ "source": "timm"
239
+ }
240
+ },
241
+ "vit_base_patch16_224.mae": {
242
+ "metrics": {
243
+ "bitrate": 1.649,
244
+ "effective_rank": 3.14,
245
+ "dim": 768,
246
+ "n_samples": 5000
247
+ },
248
+ "config": {
249
+ "family": "mae",
250
+ "objective": "self-supervised",
251
+ "dim": 768,
252
+ "source": "timm"
253
+ }
254
+ },
255
+ "vit_large_patch16_224": {
256
+ "metrics": {
257
+ "bitrate": 7.661,
258
+ "effective_rank": 202.4,
259
+ "dim": 1024,
260
+ "n_samples": 5000
261
+ },
262
+ "config": {
263
+ "family": "supervised",
264
+ "objective": "supervised",
265
+ "dim": 1024,
266
+ "source": "timm"
267
+ }
268
+ },
269
+ "vit_large_patch16_224.mae": {
270
+ "metrics": {
271
+ "bitrate": 4.898,
272
+ "effective_rank": 29.82,
273
+ "dim": 1024,
274
+ "n_samples": 5000
275
+ },
276
+ "config": {
277
+ "family": "mae",
278
+ "objective": "self-supervised",
279
+ "dim": 1024,
280
+ "source": "timm"
281
+ }
282
+ }
283
+ },
284
+ "pairwise": {
285
+ "beit_base_patch16_224 <-> beit_large_patch16_224": {
286
+ "s_local": 0.238,
287
+ "s_global": 0.7855,
288
+ "lambda": 0.3025,
289
+ "tau": 0.3613,
290
+ "tau_a_to_b": 0.542,
291
+ "tau_b_to_a": 0.3613,
292
+ "tai": 0.2312,
293
+ "perf_linear": 0.1769,
294
+ "perf_best": 0.3764,
295
+ "delta": 0.689,
296
+ "regime": "Local-Only",
297
+ "raw_overlap": 0.2391
298
+ },
299
+ "beit_base_patch16_224 <-> clip_vitb16": {
300
+ "s_local": 0.046,
301
+ "s_global": 0.1565,
302
+ "lambda": 0.2946,
303
+ "tau": 0.041,
304
+ "tau_a_to_b": 0.041,
305
+ "tau_b_to_a": 0.1548,
306
+ "tai": 0.9772,
307
+ "perf_linear": 0.0002,
308
+ "perf_best": 0.0037,
309
+ "delta": 0.975,
310
+ "regime": "Divergent",
311
+ "raw_overlap": 0.048
312
+ },
313
+ "beit_base_patch16_224 <-> clip_vitb32": {
314
+ "s_local": 0.048,
315
+ "s_global": 0.1798,
316
+ "lambda": 0.2688,
317
+ "tau": 0.0,
318
+ "tau_a_to_b": 0.0,
319
+ "tau_b_to_a": 0.1723,
320
+ "tai": 0.9703,
321
+ "perf_linear": 0.0,
322
+ "perf_best": 0.0062,
323
+ "delta": 0.989,
324
+ "regime": "Divergent",
325
+ "raw_overlap": 0.0502
326
+ },
327
+ "beit_base_patch16_224 <-> clip_vitl14": {
328
+ "s_local": 0.046,
329
+ "s_global": 0.1683,
330
+ "lambda": 0.2762,
331
+ "tau": 0.0,
332
+ "tau_a_to_b": 0.0,
333
+ "tau_b_to_a": 0.1403,
334
+ "tai": 0.9878,
335
+ "perf_linear": 0.0,
336
+ "perf_best": 0.0011,
337
+ "delta": 1.576,
338
+ "regime": "Divergent",
339
+ "raw_overlap": 0.0484
340
+ },
341
+ "beit_base_patch16_224 <-> convnext_base": {
342
+ "s_local": 0.051,
343
+ "s_global": 0.1636,
344
+ "lambda": 0.3145,
345
+ "tau": 0.0213,
346
+ "tau_a_to_b": 1.0,
347
+ "tau_b_to_a": 0.0213,
348
+ "tai": 0.9943,
349
+ "perf_linear": 0.0019,
350
+ "perf_best": 0.0005,
351
+ "delta": 2.375,
352
+ "regime": "Local-Only",
353
+ "raw_overlap": 0.0534
354
+ },
355
+ "beit_base_patch16_224 <-> convnext_large": {
356
+ "s_local": 0.052,
357
+ "s_global": 0.1601,
358
+ "lambda": 0.3228,
359
+ "tau": 0.0159,
360
+ "tau_a_to_b": 1.0,
361
+ "tau_b_to_a": 0.0159,
362
+ "tai": 0.9916,
363
+ "perf_linear": 0.0015,
364
+ "perf_best": 0.0009,
365
+ "delta": 2.619,
366
+ "regime": "Local-Only",
367
+ "raw_overlap": 0.0536
368
+ },
369
+ "beit_base_patch16_224 <-> dinov2_vitb14": {
370
+ "s_local": 0.046,
371
+ "s_global": 0.1373,
372
+ "lambda": 0.333,
373
+ "tau": 0.0417,
374
+ "tau_a_to_b": 0.2837,
375
+ "tau_b_to_a": 0.0417,
376
+ "tai": 0.9757,
377
+ "perf_linear": 0.0002,
378
+ "perf_best": 0.0007,
379
+ "delta": 2.735,
380
+ "regime": "Divergent",
381
+ "raw_overlap": 0.0476
382
+ },
383
+ "beit_base_patch16_224 <-> dinov2_vitg14": {
384
+ "s_local": 0.042,
385
+ "s_global": 0.1181,
386
+ "lambda": 0.3531,
387
+ "tau": 0.0,
388
+ "tau_a_to_b": 0.0,
389
+ "tau_b_to_a": 0.0759,
390
+ "tai": 0.9409,
391
+ "perf_linear": 0.0,
392
+ "perf_best": 0.0011,
393
+ "delta": 3.189,
394
+ "regime": "Divergent",
395
+ "raw_overlap": 0.0436
396
+ },
397
+ "beit_base_patch16_224 <-> dinov2_vitl14": {
398
+ "s_local": 0.042,
399
+ "s_global": 0.1182,
400
+ "lambda": 0.3564,
401
+ "tau": 0.0,
402
+ "tau_a_to_b": 0.0,
403
+ "tau_b_to_a": 0.0768,
404
+ "tai": 0.9566,
405
+ "perf_linear": 0.0,
406
+ "perf_best": 0.0006,
407
+ "delta": 3.097,
408
+ "regime": "Divergent",
409
+ "raw_overlap": 0.044
410
+ },
411
+ "beit_base_patch16_224 <-> dinov2_vits14": {
412
+ "s_local": 0.052,
413
+ "s_global": 0.1682,
414
+ "lambda": 0.3083,
415
+ "tau": 0.015,
416
+ "tau_a_to_b": 1.0,
417
+ "tau_b_to_a": 0.015,
418
+ "tai": 0.9913,
419
+ "perf_linear": 0.0018,
420
+ "perf_best": 0.001,
421
+ "delta": 1.886,
422
+ "regime": "Local-Only",
423
+ "raw_overlap": 0.0537
424
+ },
425
+ "beit_base_patch16_224 <-> efficientnet_b0": {
426
+ "s_local": 0.063,
427
+ "s_global": 0.2009,
428
+ "lambda": 0.3119,
429
+ "tau": 0.0583,
430
+ "tau_a_to_b": 0.6987,
431
+ "tau_b_to_a": 0.0583,
432
+ "tai": 0.9451,
433
+ "perf_linear": 0.0025,
434
+ "perf_best": 0.0036,
435
+ "delta": 2.363,
436
+ "regime": "Local-Only",
437
+ "raw_overlap": 0.0645
438
+ },
439
+ "beit_base_patch16_224 <-> mixer_b16_224": {
440
+ "s_local": 0.062,
441
+ "s_global": 0.2191,
442
+ "lambda": 0.2837,
443
+ "tau": 0.0416,
444
+ "tau_a_to_b": 0.2978,
445
+ "tau_b_to_a": 0.0416,
446
+ "tai": 0.9576,
447
+ "perf_linear": 0.0014,
448
+ "perf_best": 0.0047,
449
+ "delta": 2.172,
450
+ "regime": "Local-Only",
451
+ "raw_overlap": 0.064
452
+ },
453
+ "beit_base_patch16_224 <-> resnet101": {
454
+ "s_local": 0.058,
455
+ "s_global": 0.1919,
456
+ "lambda": 0.3027,
457
+ "tau": 0.0812,
458
+ "tau_a_to_b": 0.7946,
459
+ "tau_b_to_a": 0.0812,
460
+ "tai": 0.8491,
461
+ "perf_linear": 0.0045,
462
+ "perf_best": 0.0084,
463
+ "delta": 2.728,
464
+ "regime": "Local-Only",
465
+ "raw_overlap": 0.06
466
+ },
467
+ "beit_base_patch16_224 <-> resnet50": {
468
+ "s_local": 0.064,
469
+ "s_global": 0.2377,
470
+ "lambda": 0.2691,
471
+ "tau": 0.2277,
472
+ "tau_a_to_b": 0.2617,
473
+ "tau_b_to_a": 0.2277,
474
+ "tai": 0.6976,
475
+ "perf_linear": 0.0043,
476
+ "perf_best": 0.0163,
477
+ "delta": 2.239,
478
+ "regime": "Local-Only",
479
+ "raw_overlap": 0.0658
480
+ },
481
+ "beit_base_patch16_224 <-> swin_base_patch4_window7_224": {
482
+ "s_local": 0.054,
483
+ "s_global": 0.1723,
484
+ "lambda": 0.3105,
485
+ "tau": 0.0269,
486
+ "tau_a_to_b": 1.0,
487
+ "tau_b_to_a": 0.0269,
488
+ "tai": 0.998,
489
+ "perf_linear": 0.0002,
490
+ "perf_best": 0.0002,
491
+ "delta": 2.533,
492
+ "regime": "Local-Only",
493
+ "raw_overlap": 0.0554
494
+ },
495
+ "beit_base_patch16_224 <-> vit_base_patch16_224": {
496
+ "s_local": 0.061,
497
+ "s_global": 0.2282,
498
+ "lambda": 0.2687,
499
+ "tau": 0.0175,
500
+ "tau_a_to_b": 1.0,
501
+ "tau_b_to_a": 0.0175,
502
+ "tai": 0.9874,
503
+ "perf_linear": 0.0026,
504
+ "perf_best": 0.0025,
505
+ "delta": 1.904,
506
+ "regime": "Local-Only",
507
+ "raw_overlap": 0.0632
508
+ },
509
+ "beit_base_patch16_224 <-> vit_base_patch16_224.mae": {
510
+ "s_local": 0.05,
511
+ "s_global": 0.1656,
512
+ "lambda": 0.3039,
513
+ "tau": 0.0037,
514
+ "tau_a_to_b": 0.0037,
515
+ "tau_b_to_a": 0.212,
516
+ "tai": 0.1096,
517
+ "perf_linear": 0.0013,
518
+ "perf_best": 0.3563,
519
+ "delta": 4.217,
520
+ "regime": "Local-Only",
521
+ "raw_overlap": 0.0522
522
+ },
523
+ "beit_base_patch16_224 <-> vit_large_patch16_224": {
524
+ "s_local": 0.05,
525
+ "s_global": 0.1782,
526
+ "lambda": 0.2792,
527
+ "tau": 0.0133,
528
+ "tau_a_to_b": 1.0,
529
+ "tau_b_to_a": 0.0133,
530
+ "tai": 0.9895,
531
+ "perf_linear": 0.0017,
532
+ "perf_best": 0.0013,
533
+ "delta": 1.795,
534
+ "regime": "Divergent",
535
+ "raw_overlap": 0.0516
536
+ },
537
+ "beit_base_patch16_224 <-> vit_large_patch16_224.mae": {
538
+ "s_local": 0.109,
539
+ "s_global": 0.6358,
540
+ "lambda": 0.1719,
541
+ "tau": 0.0,
542
+ "tau_a_to_b": 0.0,
543
+ "tau_b_to_a": 0.3585,
544
+ "tai": 0.4647,
545
+ "perf_linear": 0.0,
546
+ "perf_best": 0.1904,
547
+ "delta": 0.967,
548
+ "regime": "Local-Only",
549
+ "raw_overlap": 0.111
550
+ },
551
+ "beit_large_patch16_224 <-> clip_vitb16": {
552
+ "s_local": 0.069,
553
+ "s_global": 0.1999,
554
+ "lambda": 0.3473,
555
+ "tau": 0.0353,
556
+ "tau_a_to_b": 0.0353,
557
+ "tau_b_to_a": 0.3331,
558
+ "tai": 0.9529,
559
+ "perf_linear": 0.0003,
560
+ "perf_best": 0.0081,
561
+ "delta": 0.286,
562
+ "regime": "Local-Only",
563
+ "raw_overlap": 0.0712
564
+ },
565
+ "beit_large_patch16_224 <-> clip_vitb32": {
566
+ "s_local": 0.07,
567
+ "s_global": 0.2239,
568
+ "lambda": 0.3117,
569
+ "tau": 0.0338,
570
+ "tau_a_to_b": 0.0338,
571
+ "tau_b_to_a": 0.3473,
572
+ "tai": 0.9394,
573
+ "perf_linear": 0.0004,
574
+ "perf_best": 0.0122,
575
+ "delta": 0.3,
576
+ "regime": "Local-Only",
577
+ "raw_overlap": 0.0716
578
+ },
579
+ "beit_large_patch16_224 <-> clip_vitl14": {
580
+ "s_local": 0.074,
581
+ "s_global": 0.2234,
582
+ "lambda": 0.3299,
583
+ "tau": 0.0596,
584
+ "tau_a_to_b": 0.0596,
585
+ "tau_b_to_a": 0.283,
586
+ "tai": 0.9638,
587
+ "perf_linear": 0.0002,
588
+ "perf_best": 0.0033,
589
+ "delta": 0.887,
590
+ "regime": "Local-Only",
591
+ "raw_overlap": 0.0755
592
+ },
593
+ "beit_large_patch16_224 <-> convnext_base": {
594
+ "s_local": 0.087,
595
+ "s_global": 0.229,
596
+ "lambda": 0.3805,
597
+ "tau": 0.025,
598
+ "tau_a_to_b": 1.0,
599
+ "tau_b_to_a": 0.025,
600
+ "tai": 0.9807,
601
+ "perf_linear": 0.0028,
602
+ "perf_best": 0.0022,
603
+ "delta": 1.687,
604
+ "regime": "Local-Only",
605
+ "raw_overlap": 0.0889
606
+ },
607
+ "beit_large_patch16_224 <-> convnext_large": {
608
+ "s_local": 0.089,
609
+ "s_global": 0.2233,
610
+ "lambda": 0.3983,
611
+ "tau": 0.0196,
612
+ "tau_a_to_b": 1.0,
613
+ "tau_b_to_a": 0.0196,
614
+ "tai": 0.9681,
615
+ "perf_linear": 0.0028,
616
+ "perf_best": 0.0045,
617
+ "delta": 1.93,
618
+ "regime": "Local-Only",
619
+ "raw_overlap": 0.0907
620
+ },
621
+ "beit_large_patch16_224 <-> dinov2_vitb14": {
622
+ "s_local": 0.08,
623
+ "s_global": 0.1889,
624
+ "lambda": 0.4221,
625
+ "tau": 0.0446,
626
+ "tau_a_to_b": 0.6608,
627
+ "tau_b_to_a": 0.0446,
628
+ "tai": 0.9494,
629
+ "perf_linear": 0.0015,
630
+ "perf_best": 0.0022,
631
+ "delta": 2.046,
632
+ "regime": "Local-Only",
633
+ "raw_overlap": 0.0815
634
+ },
635
+ "beit_large_patch16_224 <-> dinov2_vitg14": {
636
+ "s_local": 0.073,
637
+ "s_global": 0.1602,
638
+ "lambda": 0.4559,
639
+ "tau": 0.0855,
640
+ "tau_a_to_b": 0.0855,
641
+ "tau_b_to_a": 0.0924,
642
+ "tai": 0.9019,
643
+ "perf_linear": 0.0002,
644
+ "perf_best": 0.0021,
645
+ "delta": 2.5,
646
+ "regime": "Local-Only",
647
+ "raw_overlap": 0.0749
648
+ },
649
+ "beit_large_patch16_224 <-> dinov2_vitl14": {
650
+ "s_local": 0.072,
651
+ "s_global": 0.1615,
652
+ "lambda": 0.4475,
653
+ "tau": 0.0159,
654
+ "tau_a_to_b": 0.0159,
655
+ "tau_b_to_a": 0.0903,
656
+ "tai": 0.9133,
657
+ "perf_linear": 0.0,
658
+ "perf_best": 0.0016,
659
+ "delta": 2.409,
660
+ "regime": "Local-Only",
661
+ "raw_overlap": 0.0741
662
+ },
663
+ "beit_large_patch16_224 <-> dinov2_vits14": {
664
+ "s_local": 0.084,
665
+ "s_global": 0.2177,
666
+ "lambda": 0.3874,
667
+ "tau": 0.0197,
668
+ "tau_a_to_b": 1.0,
669
+ "tau_b_to_a": 0.0197,
670
+ "tai": 0.9857,
671
+ "perf_linear": 0.0027,
672
+ "perf_best": 0.002,
673
+ "delta": 1.197,
674
+ "regime": "Local-Only",
675
+ "raw_overlap": 0.0861
676
+ },
677
+ "beit_large_patch16_224 <-> efficientnet_b0": {
678
+ "s_local": 0.087,
679
+ "s_global": 0.2567,
680
+ "lambda": 0.34,
681
+ "tau": 0.0874,
682
+ "tau_a_to_b": 0.6734,
683
+ "tau_b_to_a": 0.0874,
684
+ "tai": 0.8762,
685
+ "perf_linear": 0.0056,
686
+ "perf_best": 0.0083,
687
+ "delta": 1.674,
688
+ "regime": "Local-Only",
689
+ "raw_overlap": 0.0891
690
+ },
691
+ "beit_large_patch16_224 <-> mixer_b16_224": {
692
+ "s_local": 0.085,
693
+ "s_global": 0.2829,
694
+ "lambda": 0.3011,
695
+ "tau": 0.078,
696
+ "tau_a_to_b": 0.2861,
697
+ "tau_b_to_a": 0.078,
698
+ "tai": 0.926,
699
+ "perf_linear": 0.0021,
700
+ "perf_best": 0.0073,
701
+ "delta": 1.483,
702
+ "regime": "Local-Only",
703
+ "raw_overlap": 0.087
704
+ },
705
+ "beit_large_patch16_224 <-> resnet101": {
706
+ "s_local": 0.086,
707
+ "s_global": 0.2527,
708
+ "lambda": 0.3422,
709
+ "tau": 0.1236,
710
+ "tau_a_to_b": 0.7729,
711
+ "tau_b_to_a": 0.1236,
712
+ "tai": 0.8085,
713
+ "perf_linear": 0.0072,
714
+ "perf_best": 0.0111,
715
+ "delta": 2.039,
716
+ "regime": "Local-Only",
717
+ "raw_overlap": 0.0883
718
+ },
719
+ "beit_large_patch16_224 <-> resnet50": {
720
+ "s_local": 0.086,
721
+ "s_global": 0.302,
722
+ "lambda": 0.2849,
723
+ "tau": 0.3556,
724
+ "tau_a_to_b": 0.3556,
725
+ "tau_b_to_a": 0.3812,
726
+ "tai": 0.589,
727
+ "perf_linear": 0.0072,
728
+ "perf_best": 0.0203,
729
+ "delta": 1.55,
730
+ "regime": "Local-Only",
731
+ "raw_overlap": 0.0879
732
+ },
733
+ "beit_large_patch16_224 <-> swin_base_patch4_window7_224": {
734
+ "s_local": 0.09,
735
+ "s_global": 0.2273,
736
+ "lambda": 0.3979,
737
+ "tau": 0.0323,
738
+ "tau_a_to_b": 1.0,
739
+ "tau_b_to_a": 0.0323,
740
+ "tai": 0.9924,
741
+ "perf_linear": 0.0022,
742
+ "perf_best": 0.0009,
743
+ "delta": 1.844,
744
+ "regime": "Local-Only",
745
+ "raw_overlap": 0.0922
746
+ },
747
+ "beit_large_patch16_224 <-> vit_base_patch16_224": {
748
+ "s_local": 0.102,
749
+ "s_global": 0.3026,
750
+ "lambda": 0.3366,
751
+ "tau": 0.039,
752
+ "tau_a_to_b": 1.0,
753
+ "tau_b_to_a": 0.039,
754
+ "tai": 0.9619,
755
+ "perf_linear": 0.0082,
756
+ "perf_best": 0.008,
757
+ "delta": 1.215,
758
+ "regime": "Local-Only",
759
+ "raw_overlap": 0.1036
760
+ },
761
+ "beit_large_patch16_224 <-> vit_base_patch16_224.mae": {
762
+ "s_local": 0.051,
763
+ "s_global": 0.1988,
764
+ "lambda": 0.2585,
765
+ "tau": 0.0044,
766
+ "tau_a_to_b": 0.0044,
767
+ "tau_b_to_a": 0.2431,
768
+ "tai": 0.0809,
769
+ "perf_linear": 0.0016,
770
+ "perf_best": 0.336,
771
+ "delta": 4.906,
772
+ "regime": "Local-Only",
773
+ "raw_overlap": 0.0533
774
+ },
775
+ "beit_large_patch16_224 <-> vit_large_patch16_224": {
776
+ "s_local": 0.083,
777
+ "s_global": 0.2503,
778
+ "lambda": 0.3327,
779
+ "tau": 0.0212,
780
+ "tau_a_to_b": 1.0,
781
+ "tau_b_to_a": 0.0212,
782
+ "tai": 0.9844,
783
+ "perf_linear": 0.0032,
784
+ "perf_best": 0.0023,
785
+ "delta": 1.106,
786
+ "regime": "Local-Only",
787
+ "raw_overlap": 0.0851
788
+ },
789
+ "beit_large_patch16_224 <-> vit_large_patch16_224.mae": {
790
+ "s_local": 0.123,
791
+ "s_global": 0.6539,
792
+ "lambda": 0.1881,
793
+ "tau": 0.0,
794
+ "tau_a_to_b": 0.0,
795
+ "tau_b_to_a": 0.3935,
796
+ "tai": 0.315,
797
+ "perf_linear": 0.0,
798
+ "perf_best": 0.2195,
799
+ "delta": 1.656,
800
+ "regime": "Local-Only",
801
+ "raw_overlap": 0.1248
802
+ },
803
+ "clip_vitb16 <-> clip_vitb32": {
804
+ "s_local": 0.277,
805
+ "s_global": 0.7132,
806
+ "lambda": 0.3887,
807
+ "tau": 0.744,
808
+ "tau_a_to_b": 0.744,
809
+ "tau_b_to_a": 0.7547,
810
+ "tai": 0.0018,
811
+ "perf_linear": 0.3201,
812
+ "perf_best": 0.4302,
813
+ "delta": 0.014,
814
+ "regime": "Convergent",
815
+ "raw_overlap": 0.2787
816
+ },
817
+ "clip_vitb16 <-> clip_vitl14": {
818
+ "s_local": 0.291,
819
+ "s_global": 0.7183,
820
+ "lambda": 0.4047,
821
+ "tau": 0.468,
822
+ "tau_a_to_b": 0.9409,
823
+ "tau_b_to_a": 0.468,
824
+ "tai": 0.0728,
825
+ "perf_linear": 0.1754,
826
+ "perf_best": 0.3476,
827
+ "delta": 0.601,
828
+ "regime": "Local-Only",
829
+ "raw_overlap": 0.2921
830
+ },
831
+ "clip_vitb16 <-> convnext_base": {
832
+ "s_local": 0.225,
833
+ "s_global": 0.5483,
834
+ "lambda": 0.4102,
835
+ "tau": 0.0261,
836
+ "tau_a_to_b": 1.0,
837
+ "tau_b_to_a": 0.0261,
838
+ "tai": 0.0012,
839
+ "perf_linear": 0.0058,
840
+ "perf_best": 0.2206,
841
+ "delta": 1.4,
842
+ "regime": "Local-Only",
843
+ "raw_overlap": 0.2265
844
+ },
845
+ "clip_vitb16 <-> convnext_large": {
846
+ "s_local": 0.229,
847
+ "s_global": 0.5338,
848
+ "lambda": 0.4291,
849
+ "tau": 0.024,
850
+ "tau_a_to_b": 1.0,
851
+ "tau_b_to_a": 0.024,
852
+ "tai": 0.0979,
853
+ "perf_linear": 0.0056,
854
+ "perf_best": 0.2095,
855
+ "delta": 1.644,
856
+ "regime": "Local-Only",
857
+ "raw_overlap": 0.2306
858
+ },
859
+ "clip_vitb16 <-> dinov2_vitb14": {
860
+ "s_local": 0.224,
861
+ "s_global": 0.4886,
862
+ "lambda": 0.4586,
863
+ "tau": 0.0449,
864
+ "tau_a_to_b": 1.0,
865
+ "tau_b_to_a": 0.0449,
866
+ "tai": 0.3992,
867
+ "perf_linear": 0.0079,
868
+ "perf_best": 0.1059,
869
+ "delta": 1.76,
870
+ "regime": "Local-Only",
871
+ "raw_overlap": 0.2256
872
+ },
873
+ "clip_vitb16 <-> dinov2_vitg14": {
874
+ "s_local": 0.198,
875
+ "s_global": 0.4103,
876
+ "lambda": 0.4825,
877
+ "tau": 0.1047,
878
+ "tau_a_to_b": 1.0,
879
+ "tau_b_to_a": 0.1047,
880
+ "tai": 0.0372,
881
+ "perf_linear": 0.009,
882
+ "perf_best": 0.0832,
883
+ "delta": 2.214,
884
+ "regime": "Local-Only",
885
+ "raw_overlap": 0.1996
886
+ },
887
+ "clip_vitb16 <-> dinov2_vitl14": {
888
+ "s_local": 0.202,
889
+ "s_global": 0.4092,
890
+ "lambda": 0.4942,
891
+ "tau": 0.0941,
892
+ "tau_a_to_b": 1.0,
893
+ "tau_b_to_a": 0.0941,
894
+ "tai": 0.5364,
895
+ "perf_linear": 0.0084,
896
+ "perf_best": 0.0411,
897
+ "delta": 2.122,
898
+ "regime": "Local-Only",
899
+ "raw_overlap": 0.2038
900
+ },
901
+ "clip_vitb16 <-> dinov2_vits14": {
902
+ "s_local": 0.23,
903
+ "s_global": 0.5223,
904
+ "lambda": 0.4396,
905
+ "tau": 0.0164,
906
+ "tau_a_to_b": 1.0,
907
+ "tau_b_to_a": 0.0164,
908
+ "tai": 0.2184,
909
+ "perf_linear": 0.0051,
910
+ "perf_best": 0.2433,
911
+ "delta": 0.911,
912
+ "regime": "Local-Only",
913
+ "raw_overlap": 0.2311
914
+ },
915
+ "clip_vitb16 <-> efficientnet_b0": {
916
+ "s_local": 0.175,
917
+ "s_global": 0.4978,
918
+ "lambda": 0.3515,
919
+ "tau": 0.0845,
920
+ "tau_a_to_b": 1.0,
921
+ "tau_b_to_a": 0.0845,
922
+ "tai": 0.3253,
923
+ "perf_linear": 0.0057,
924
+ "perf_best": 0.067,
925
+ "delta": 1.388,
926
+ "regime": "Local-Only",
927
+ "raw_overlap": 0.1766
928
+ },
929
+ "clip_vitb16 <-> mixer_b16_224": {
930
+ "s_local": 0.146,
931
+ "s_global": 0.478,
932
+ "lambda": 0.3051,
933
+ "tau": 0.0726,
934
+ "tau_a_to_b": 1.0,
935
+ "tau_b_to_a": 0.0726,
936
+ "tai": 0.1819,
937
+ "perf_linear": 0.0045,
938
+ "perf_best": 0.0619,
939
+ "delta": 1.196,
940
+ "regime": "Local-Only",
941
+ "raw_overlap": 0.1475
942
+ },
943
+ "clip_vitb16 <-> resnet101": {
944
+ "s_local": 0.183,
945
+ "s_global": 0.5628,
946
+ "lambda": 0.3246,
947
+ "tau": 0.0775,
948
+ "tau_a_to_b": 1.0,
949
+ "tau_b_to_a": 0.0775,
950
+ "tai": 0.2104,
951
+ "perf_linear": 0.0079,
952
+ "perf_best": 0.08,
953
+ "delta": 1.753,
954
+ "regime": "Local-Only",
955
+ "raw_overlap": 0.1843
956
+ },
957
+ "clip_vitb16 <-> resnet50": {
958
+ "s_local": 0.164,
959
+ "s_global": 0.5235,
960
+ "lambda": 0.3139,
961
+ "tau": 0.1145,
962
+ "tau_a_to_b": 0.8535,
963
+ "tau_b_to_a": 0.1145,
964
+ "tai": 0.1516,
965
+ "perf_linear": 0.0077,
966
+ "perf_best": 0.067,
967
+ "delta": 1.264,
968
+ "regime": "Local-Only",
969
+ "raw_overlap": 0.166
970
+ },
971
+ "clip_vitb16 <-> swin_base_patch4_window7_224": {
972
+ "s_local": 0.231,
973
+ "s_global": 0.5673,
974
+ "lambda": 0.4068,
975
+ "tau": 0.0404,
976
+ "tau_a_to_b": 1.0,
977
+ "tau_b_to_a": 0.0404,
978
+ "tai": 0.0206,
979
+ "perf_linear": 0.0086,
980
+ "perf_best": 0.2092,
981
+ "delta": 1.558,
982
+ "regime": "Local-Only",
983
+ "raw_overlap": 0.2323
984
+ },
985
+ "clip_vitb16 <-> vit_base_patch16_224": {
986
+ "s_local": 0.193,
987
+ "s_global": 0.5252,
988
+ "lambda": 0.3676,
989
+ "tau": 0.0185,
990
+ "tau_a_to_b": 1.0,
991
+ "tau_b_to_a": 0.0185,
992
+ "tai": 0.1275,
993
+ "perf_linear": 0.0034,
994
+ "perf_best": 0.1601,
995
+ "delta": 0.929,
996
+ "regime": "Local-Only",
997
+ "raw_overlap": 0.1947
998
+ },
999
+ "clip_vitb16 <-> vit_base_patch16_224.mae": {
1000
+ "s_local": 0.025,
1001
+ "s_global": 0.1245,
1002
+ "lambda": 0.1984,
1003
+ "tau": 0.003,
1004
+ "tau_a_to_b": 0.003,
1005
+ "tau_b_to_a": 0.0775,
1006
+ "tai": 0.5034,
1007
+ "perf_linear": 0.0013,
1008
+ "perf_best": 0.2213,
1009
+ "delta": 5.192,
1010
+ "regime": "Divergent",
1011
+ "raw_overlap": 0.0266
1012
+ },
1013
+ "clip_vitb16 <-> vit_large_patch16_224": {
1014
+ "s_local": 0.202,
1015
+ "s_global": 0.5175,
1016
+ "lambda": 0.3897,
1017
+ "tau": 0.0095,
1018
+ "tau_a_to_b": 1.0,
1019
+ "tau_b_to_a": 0.0095,
1020
+ "tai": 0.378,
1021
+ "perf_linear": 0.0017,
1022
+ "perf_best": 0.1126,
1023
+ "delta": 0.82,
1024
+ "regime": "Local-Only",
1025
+ "raw_overlap": 0.2032
1026
+ },
1027
+ "clip_vitb16 <-> vit_large_patch16_224.mae": {
1028
+ "s_local": 0.092,
1029
+ "s_global": 0.1912,
1030
+ "lambda": 0.4795,
1031
+ "tau": 0.0004,
1032
+ "tau_a_to_b": 0.0004,
1033
+ "tau_b_to_a": 0.5939,
1034
+ "tai": 0.375,
1035
+ "perf_linear": 0.0001,
1036
+ "perf_best": 0.2382,
1037
+ "delta": 1.942,
1038
+ "regime": "Local-Only",
1039
+ "raw_overlap": 0.0935
1040
+ },
1041
+ "clip_vitb32 <-> clip_vitl14": {
1042
+ "s_local": 0.245,
1043
+ "s_global": 0.647,
1044
+ "lambda": 0.3794,
1045
+ "tau": 0.3298,
1046
+ "tau_a_to_b": 0.8328,
1047
+ "tau_b_to_a": 0.3298,
1048
+ "tai": 0.0656,
1049
+ "perf_linear": 0.1055,
1050
+ "perf_best": 0.299,
1051
+ "delta": 0.587,
1052
+ "regime": "Local-Only",
1053
+ "raw_overlap": 0.247
1054
+ },
1055
+ "clip_vitb32 <-> convnext_base": {
1056
+ "s_local": 0.207,
1057
+ "s_global": 0.5164,
1058
+ "lambda": 0.4002,
1059
+ "tau": 0.0145,
1060
+ "tau_a_to_b": 1.0,
1061
+ "tau_b_to_a": 0.0145,
1062
+ "tai": 0.0148,
1063
+ "perf_linear": 0.003,
1064
+ "perf_best": 0.2026,
1065
+ "delta": 1.386,
1066
+ "regime": "Local-Only",
1067
+ "raw_overlap": 0.2082
1068
+ },
1069
+ "clip_vitb32 <-> convnext_large": {
1070
+ "s_local": 0.208,
1071
+ "s_global": 0.504,
1072
+ "lambda": 0.4137,
1073
+ "tau": 0.0127,
1074
+ "tau_a_to_b": 1.0,
1075
+ "tau_b_to_a": 0.0127,
1076
+ "tai": 0.1112,
1077
+ "perf_linear": 0.0027,
1078
+ "perf_best": 0.1918,
1079
+ "delta": 1.63,
1080
+ "regime": "Local-Only",
1081
+ "raw_overlap": 0.2101
1082
+ },
1083
+ "clip_vitb32 <-> dinov2_vitb14": {
1084
+ "s_local": 0.197,
1085
+ "s_global": 0.4568,
1086
+ "lambda": 0.4317,
1087
+ "tau": 0.0308,
1088
+ "tau_a_to_b": 1.0,
1089
+ "tau_b_to_a": 0.0308,
1090
+ "tai": 0.4151,
1091
+ "perf_linear": 0.0043,
1092
+ "perf_best": 0.0821,
1093
+ "delta": 1.746,
1094
+ "regime": "Local-Only",
1095
+ "raw_overlap": 0.1988
1096
+ },
1097
+ "clip_vitb32 <-> dinov2_vitg14": {
1098
+ "s_local": 0.176,
1099
+ "s_global": 0.3755,
1100
+ "lambda": 0.4685,
1101
+ "tau": 0.0754,
1102
+ "tau_a_to_b": 1.0,
1103
+ "tau_b_to_a": 0.0754,
1104
+ "tai": 0.068,
1105
+ "perf_linear": 0.005,
1106
+ "perf_best": 0.0618,
1107
+ "delta": 2.2,
1108
+ "regime": "Local-Only",
1109
+ "raw_overlap": 0.1776
1110
+ },
1111
+ "clip_vitb32 <-> dinov2_vitl14": {
1112
+ "s_local": 0.18,
1113
+ "s_global": 0.3775,
1114
+ "lambda": 0.4755,
1115
+ "tau": 0.0715,
1116
+ "tau_a_to_b": 1.0,
1117
+ "tau_b_to_a": 0.0715,
1118
+ "tai": 0.4849,
1119
+ "perf_linear": 0.0043,
1120
+ "perf_best": 0.0312,
1121
+ "delta": 2.108,
1122
+ "regime": "Local-Only",
1123
+ "raw_overlap": 0.1812
1124
+ },
1125
+ "clip_vitb32 <-> dinov2_vits14": {
1126
+ "s_local": 0.211,
1127
+ "s_global": 0.4941,
1128
+ "lambda": 0.4272,
1129
+ "tau": 0.0099,
1130
+ "tau_a_to_b": 1.0,
1131
+ "tau_b_to_a": 0.0099,
1132
+ "tai": 0.2115,
1133
+ "perf_linear": 0.0029,
1134
+ "perf_best": 0.2271,
1135
+ "delta": 0.897,
1136
+ "regime": "Local-Only",
1137
+ "raw_overlap": 0.2126
1138
+ },
1139
+ "clip_vitb32 <-> efficientnet_b0": {
1140
+ "s_local": 0.173,
1141
+ "s_global": 0.4886,
1142
+ "lambda": 0.3541,
1143
+ "tau": 0.061,
1144
+ "tau_a_to_b": 1.0,
1145
+ "tau_b_to_a": 0.061,
1146
+ "tai": 0.378,
1147
+ "perf_linear": 0.0044,
1148
+ "perf_best": 0.0729,
1149
+ "delta": 1.374,
1150
+ "regime": "Local-Only",
1151
+ "raw_overlap": 0.1747
1152
+ },
1153
+ "clip_vitb32 <-> mixer_b16_224": {
1154
+ "s_local": 0.15,
1155
+ "s_global": 0.472,
1156
+ "lambda": 0.3175,
1157
+ "tau": 0.0509,
1158
+ "tau_a_to_b": 1.0,
1159
+ "tau_b_to_a": 0.0509,
1160
+ "tai": 0.194,
1161
+ "perf_linear": 0.0039,
1162
+ "perf_best": 0.0774,
1163
+ "delta": 1.182,
1164
+ "regime": "Local-Only",
1165
+ "raw_overlap": 0.1516
1166
+ },
1167
+ "clip_vitb32 <-> resnet101": {
1168
+ "s_local": 0.177,
1169
+ "s_global": 0.5391,
1170
+ "lambda": 0.3289,
1171
+ "tau": 0.0698,
1172
+ "tau_a_to_b": 1.0,
1173
+ "tau_b_to_a": 0.0698,
1174
+ "tai": 0.1949,
1175
+ "perf_linear": 0.0072,
1176
+ "perf_best": 0.0831,
1177
+ "delta": 1.739,
1178
+ "regime": "Local-Only",
1179
+ "raw_overlap": 0.1789
1180
+ },
1181
+ "clip_vitb32 <-> resnet50": {
1182
+ "s_local": 0.168,
1183
+ "s_global": 0.5147,
1184
+ "lambda": 0.3271,
1185
+ "tau": 0.1145,
1186
+ "tau_a_to_b": 0.8248,
1187
+ "tau_b_to_a": 0.1145,
1188
+ "tai": 0.1974,
1189
+ "perf_linear": 0.0079,
1190
+ "perf_best": 0.0693,
1191
+ "delta": 1.25,
1192
+ "regime": "Local-Only",
1193
+ "raw_overlap": 0.17
1194
+ },
1195
+ "clip_vitb32 <-> swin_base_patch4_window7_224": {
1196
+ "s_local": 0.21,
1197
+ "s_global": 0.535,
1198
+ "lambda": 0.3927,
1199
+ "tau": 0.0284,
1200
+ "tau_a_to_b": 1.0,
1201
+ "tau_b_to_a": 0.0284,
1202
+ "tai": 0.0066,
1203
+ "perf_linear": 0.0056,
1204
+ "perf_best": 0.1979,
1205
+ "delta": 1.544,
1206
+ "regime": "Local-Only",
1207
+ "raw_overlap": 0.2116
1208
+ },
1209
+ "clip_vitb32 <-> vit_base_patch16_224": {
1210
+ "s_local": 0.18,
1211
+ "s_global": 0.4984,
1212
+ "lambda": 0.3605,
1213
+ "tau": 0.0082,
1214
+ "tau_a_to_b": 1.0,
1215
+ "tau_b_to_a": 0.0082,
1216
+ "tai": 0.179,
1217
+ "perf_linear": 0.0016,
1218
+ "perf_best": 0.1546,
1219
+ "delta": 0.915,
1220
+ "regime": "Local-Only",
1221
+ "raw_overlap": 0.1813
1222
+ },
1223
+ "clip_vitb32 <-> vit_base_patch16_224.mae": {
1224
+ "s_local": 0.026,
1225
+ "s_global": 0.1356,
1226
+ "lambda": 0.1916,
1227
+ "tau": 0.0032,
1228
+ "tau_a_to_b": 0.0032,
1229
+ "tau_b_to_a": 0.0866,
1230
+ "tai": 0.4719,
1231
+ "perf_linear": 0.0015,
1232
+ "perf_best": 0.2519,
1233
+ "delta": 5.206,
1234
+ "regime": "Divergent",
1235
+ "raw_overlap": 0.028
1236
+ },
1237
+ "clip_vitb32 <-> vit_large_patch16_224": {
1238
+ "s_local": 0.184,
1239
+ "s_global": 0.4926,
1240
+ "lambda": 0.3728,
1241
+ "tau": 0.0049,
1242
+ "tau_a_to_b": 1.0,
1243
+ "tau_b_to_a": 0.0049,
1244
+ "tai": 0.388,
1245
+ "perf_linear": 0.0008,
1246
+ "perf_best": 0.1012,
1247
+ "delta": 0.806,
1248
+ "regime": "Local-Only",
1249
+ "raw_overlap": 0.1853
1250
+ },
1251
+ "clip_vitb32 <-> vit_large_patch16_224.mae": {
1252
+ "s_local": 0.097,
1253
+ "s_global": 0.2131,
1254
+ "lambda": 0.4565,
1255
+ "tau": 0.0002,
1256
+ "tau_a_to_b": 0.0002,
1257
+ "tau_b_to_a": 0.5945,
1258
+ "tai": 0.3581,
1259
+ "perf_linear": 0.0001,
1260
+ "perf_best": 0.2572,
1261
+ "delta": 1.956,
1262
+ "regime": "Local-Only",
1263
+ "raw_overlap": 0.0991
1264
+ },
1265
+ "clip_vitl14 <-> convnext_base": {
1266
+ "s_local": 0.276,
1267
+ "s_global": 0.5991,
1268
+ "lambda": 0.4615,
1269
+ "tau": 0.0091,
1270
+ "tau_a_to_b": 1.0,
1271
+ "tau_b_to_a": 0.0091,
1272
+ "tai": 0.0658,
1273
+ "perf_linear": 0.0017,
1274
+ "perf_best": 0.1841,
1275
+ "delta": 0.799,
1276
+ "regime": "Local-Only",
1277
+ "raw_overlap": 0.2779
1278
+ },
1279
+ "clip_vitl14 <-> convnext_large": {
1280
+ "s_local": 0.286,
1281
+ "s_global": 0.5902,
1282
+ "lambda": 0.4839,
1283
+ "tau": 0.009,
1284
+ "tau_a_to_b": 1.0,
1285
+ "tau_b_to_a": 0.009,
1286
+ "tai": 0.0899,
1287
+ "perf_linear": 0.0019,
1288
+ "perf_best": 0.1926,
1289
+ "delta": 1.042,
1290
+ "regime": "Local-Only",
1291
+ "raw_overlap": 0.287
1292
+ },
1293
+ "clip_vitl14 <-> dinov2_vitb14": {
1294
+ "s_local": 0.287,
1295
+ "s_global": 0.5503,
1296
+ "lambda": 0.5221,
1297
+ "tau": 0.0121,
1298
+ "tau_a_to_b": 1.0,
1299
+ "tau_b_to_a": 0.0121,
1300
+ "tai": 0.4941,
1301
+ "perf_linear": 0.0022,
1302
+ "perf_best": 0.0902,
1303
+ "delta": 1.158,
1304
+ "regime": "Local-Only",
1305
+ "raw_overlap": 0.2887
1306
+ },
1307
+ "clip_vitl14 <-> dinov2_vitg14": {
1308
+ "s_local": 0.262,
1309
+ "s_global": 0.4764,
1310
+ "lambda": 0.5504,
1311
+ "tau": 0.0449,
1312
+ "tau_a_to_b": 1.0,
1313
+ "tau_b_to_a": 0.0449,
1314
+ "tai": 0.0095,
1315
+ "perf_linear": 0.0051,
1316
+ "perf_best": 0.1145,
1317
+ "delta": 1.613,
1318
+ "regime": "Local-Only",
1319
+ "raw_overlap": 0.2636
1320
+ },
1321
+ "clip_vitl14 <-> dinov2_vitl14": {
1322
+ "s_local": 0.269,
1323
+ "s_global": 0.4763,
1324
+ "lambda": 0.5644,
1325
+ "tau": 0.0297,
1326
+ "tau_a_to_b": 1.0,
1327
+ "tau_b_to_a": 0.0297,
1328
+ "tai": 0.589,
1329
+ "perf_linear": 0.0032,
1330
+ "perf_best": 0.0445,
1331
+ "delta": 1.521,
1332
+ "regime": "Local-Only",
1333
+ "raw_overlap": 0.2703
1334
+ },
1335
+ "clip_vitl14 <-> dinov2_vits14": {
1336
+ "s_local": 0.27,
1337
+ "s_global": 0.5637,
1338
+ "lambda": 0.4785,
1339
+ "tau": 0.0057,
1340
+ "tau_a_to_b": 1.0,
1341
+ "tau_b_to_a": 0.0057,
1342
+ "tai": 0.3147,
1343
+ "perf_linear": 0.0015,
1344
+ "perf_best": 0.1836,
1345
+ "delta": 0.31,
1346
+ "regime": "Local-Only",
1347
+ "raw_overlap": 0.2712
1348
+ },
1349
+ "clip_vitl14 <-> efficientnet_b0": {
1350
+ "s_local": 0.178,
1351
+ "s_global": 0.4991,
1352
+ "lambda": 0.3568,
1353
+ "tau": 0.0434,
1354
+ "tau_a_to_b": 1.0,
1355
+ "tau_b_to_a": 0.0434,
1356
+ "tai": 0.3254,
1357
+ "perf_linear": 0.0014,
1358
+ "perf_best": 0.0328,
1359
+ "delta": 0.786,
1360
+ "regime": "Local-Only",
1361
+ "raw_overlap": 0.1797
1362
+ },
1363
+ "clip_vitl14 <-> mixer_b16_224": {
1364
+ "s_local": 0.153,
1365
+ "s_global": 0.4987,
1366
+ "lambda": 0.3062,
1367
+ "tau": 0.0365,
1368
+ "tau_a_to_b": 1.0,
1369
+ "tau_b_to_a": 0.0365,
1370
+ "tai": 0.1878,
1371
+ "perf_linear": 0.0012,
1372
+ "perf_best": 0.0259,
1373
+ "delta": 0.595,
1374
+ "regime": "Local-Only",
1375
+ "raw_overlap": 0.1544
1376
+ },
1377
+ "clip_vitl14 <-> resnet101": {
1378
+ "s_local": 0.196,
1379
+ "s_global": 0.5821,
1380
+ "lambda": 0.337,
1381
+ "tau": 0.0539,
1382
+ "tau_a_to_b": 1.0,
1383
+ "tau_b_to_a": 0.0539,
1384
+ "tai": 0.1171,
1385
+ "perf_linear": 0.0033,
1386
+ "perf_best": 0.0541,
1387
+ "delta": 1.152,
1388
+ "regime": "Local-Only",
1389
+ "raw_overlap": 0.1977
1390
+ },
1391
+ "clip_vitl14 <-> resnet50": {
1392
+ "s_local": 0.167,
1393
+ "s_global": 0.5379,
1394
+ "lambda": 0.3099,
1395
+ "tau": 0.0961,
1396
+ "tau_a_to_b": 0.8217,
1397
+ "tau_b_to_a": 0.0961,
1398
+ "tai": 0.4364,
1399
+ "perf_linear": 0.0028,
1400
+ "perf_best": 0.0294,
1401
+ "delta": 0.663,
1402
+ "regime": "Local-Only",
1403
+ "raw_overlap": 0.1683
1404
+ },
1405
+ "clip_vitl14 <-> swin_base_patch4_window7_224": {
1406
+ "s_local": 0.278,
1407
+ "s_global": 0.6086,
1408
+ "lambda": 0.4564,
1409
+ "tau": 0.0204,
1410
+ "tau_a_to_b": 1.0,
1411
+ "tau_b_to_a": 0.0204,
1412
+ "tai": 0.0321,
1413
+ "perf_linear": 0.0037,
1414
+ "perf_best": 0.1764,
1415
+ "delta": 0.956,
1416
+ "regime": "Local-Only",
1417
+ "raw_overlap": 0.2791
1418
+ },
1419
+ "clip_vitl14 <-> vit_base_patch16_224": {
1420
+ "s_local": 0.217,
1421
+ "s_global": 0.5553,
1422
+ "lambda": 0.3908,
1423
+ "tau": 0.0051,
1424
+ "tau_a_to_b": 1.0,
1425
+ "tau_b_to_a": 0.0051,
1426
+ "tai": 0.2661,
1427
+ "perf_linear": 0.0007,
1428
+ "perf_best": 0.1004,
1429
+ "delta": 0.327,
1430
+ "regime": "Local-Only",
1431
+ "raw_overlap": 0.2186
1432
+ },
1433
+ "clip_vitl14 <-> vit_base_patch16_224.mae": {
1434
+ "s_local": 0.024,
1435
+ "s_global": 0.1241,
1436
+ "lambda": 0.1908,
1437
+ "tau": 0.0032,
1438
+ "tau_a_to_b": 0.0032,
1439
+ "tau_b_to_a": 0.0951,
1440
+ "tai": 0.5978,
1441
+ "perf_linear": 0.0012,
1442
+ "perf_best": 0.1452,
1443
+ "delta": 5.793,
1444
+ "regime": "Divergent",
1445
+ "raw_overlap": 0.0256
1446
+ },
1447
+ "clip_vitl14 <-> vit_large_patch16_224": {
1448
+ "s_local": 0.256,
1449
+ "s_global": 0.5817,
1450
+ "lambda": 0.4398,
1451
+ "tau": 0.0046,
1452
+ "tau_a_to_b": 1.0,
1453
+ "tau_b_to_a": 0.0046,
1454
+ "tai": 0.4485,
1455
+ "perf_linear": 0.0007,
1456
+ "perf_best": 0.0898,
1457
+ "delta": 0.219,
1458
+ "regime": "Local-Only",
1459
+ "raw_overlap": 0.2573
1460
+ },
1461
+ "clip_vitl14 <-> vit_large_patch16_224.mae": {
1462
+ "s_local": 0.088,
1463
+ "s_global": 0.2026,
1464
+ "lambda": 0.4333,
1465
+ "tau": 0.0,
1466
+ "tau_a_to_b": 0.0,
1467
+ "tau_b_to_a": 0.6784,
1468
+ "tai": 0.4334,
1469
+ "perf_linear": 0.0,
1470
+ "perf_best": 0.1773,
1471
+ "delta": 2.544,
1472
+ "regime": "Local-Only",
1473
+ "raw_overlap": 0.0896
1474
+ },
1475
+ "convnext_base <-> convnext_large": {
1476
+ "s_local": 0.569,
1477
+ "s_global": 0.8469,
1478
+ "lambda": 0.6721,
1479
+ "tau": 0.8475,
1480
+ "tau_a_to_b": 0.8475,
1481
+ "tau_b_to_a": 0.9066,
1482
+ "tai": 0.0645,
1483
+ "perf_linear": 0.3942,
1484
+ "perf_best": 0.4651,
1485
+ "delta": 0.243,
1486
+ "regime": "Convergent",
1487
+ "raw_overlap": 0.57
1488
+ },
1489
+ "convnext_base <-> dinov2_vitb14": {
1490
+ "s_local": 0.41,
1491
+ "s_global": 0.6692,
1492
+ "lambda": 0.6122,
1493
+ "tau": 0.2182,
1494
+ "tau_a_to_b": 1.0,
1495
+ "tau_b_to_a": 0.2182,
1496
+ "tai": 0.4712,
1497
+ "perf_linear": 0.0563,
1498
+ "perf_best": 0.1364,
1499
+ "delta": 0.359,
1500
+ "regime": "Local-Only",
1501
+ "raw_overlap": 0.4109
1502
+ },
1503
+ "convnext_base <-> dinov2_vitg14": {
1504
+ "s_local": 0.362,
1505
+ "s_global": 0.5917,
1506
+ "lambda": 0.6117,
1507
+ "tau": 0.3656,
1508
+ "tau_a_to_b": 0.4039,
1509
+ "tau_b_to_a": 0.3656,
1510
+ "tai": 0.0666,
1511
+ "perf_linear": 0.0716,
1512
+ "perf_best": 0.1829,
1513
+ "delta": 0.814,
1514
+ "regime": "Local-Only",
1515
+ "raw_overlap": 0.3632
1516
+ },
1517
+ "convnext_base <-> dinov2_vitl14": {
1518
+ "s_local": 0.373,
1519
+ "s_global": 0.5893,
1520
+ "lambda": 0.6335,
1521
+ "tau": 0.1342,
1522
+ "tau_a_to_b": 0.608,
1523
+ "tau_b_to_a": 0.1342,
1524
+ "tai": 0.6185,
1525
+ "perf_linear": 0.0235,
1526
+ "perf_best": 0.0667,
1527
+ "delta": 0.722,
1528
+ "regime": "Local-Only",
1529
+ "raw_overlap": 0.3746
1530
+ },
1531
+ "convnext_base <-> dinov2_vits14": {
1532
+ "s_local": 0.383,
1533
+ "s_global": 0.6568,
1534
+ "lambda": 0.5836,
1535
+ "tau": 0.2682,
1536
+ "tau_a_to_b": 1.0,
1537
+ "tau_b_to_a": 0.2682,
1538
+ "tai": 0.197,
1539
+ "perf_linear": 0.0905,
1540
+ "perf_best": 0.271,
1541
+ "delta": 0.489,
1542
+ "regime": "Local-Only",
1543
+ "raw_overlap": 0.3845
1544
+ },
1545
+ "convnext_base <-> efficientnet_b0": {
1546
+ "s_local": 0.259,
1547
+ "s_global": 0.6041,
1548
+ "lambda": 0.4291,
1549
+ "tau": 0.3044,
1550
+ "tau_a_to_b": 0.3044,
1551
+ "tau_b_to_a": 0.9692,
1552
+ "tai": 0.0711,
1553
+ "perf_linear": 0.0317,
1554
+ "perf_best": 0.0967,
1555
+ "delta": 0.013,
1556
+ "regime": "Local-Only",
1557
+ "raw_overlap": 0.2607
1558
+ },
1559
+ "convnext_base <-> mixer_b16_224": {
1560
+ "s_local": 0.212,
1561
+ "s_global": 0.5899,
1562
+ "lambda": 0.3596,
1563
+ "tau": 0.1651,
1564
+ "tau_a_to_b": 0.1651,
1565
+ "tau_b_to_a": 0.7586,
1566
+ "tai": 0.34,
1567
+ "perf_linear": 0.0088,
1568
+ "perf_best": 0.0534,
1569
+ "delta": 0.204,
1570
+ "regime": "Local-Only",
1571
+ "raw_overlap": 0.2137
1572
+ },
1573
+ "convnext_base <-> resnet101": {
1574
+ "s_local": 0.305,
1575
+ "s_global": 0.705,
1576
+ "lambda": 0.4319,
1577
+ "tau": 0.3092,
1578
+ "tau_a_to_b": 0.3092,
1579
+ "tau_b_to_a": 1.0,
1580
+ "tai": 0.4415,
1581
+ "perf_linear": 0.0335,
1582
+ "perf_best": 0.1085,
1583
+ "delta": 0.353,
1584
+ "regime": "Local-Only",
1585
+ "raw_overlap": 0.3059
1586
+ },
1587
+ "convnext_base <-> resnet50": {
1588
+ "s_local": 0.232,
1589
+ "s_global": 0.616,
1590
+ "lambda": 0.3769,
1591
+ "tau": 0.2342,
1592
+ "tau_a_to_b": 0.2342,
1593
+ "tau_b_to_a": 1.0,
1594
+ "tai": 0.025,
1595
+ "perf_linear": 0.0201,
1596
+ "perf_best": 0.0859,
1597
+ "delta": 0.136,
1598
+ "regime": "Local-Only",
1599
+ "raw_overlap": 0.2337
1600
+ },
1601
+ "convnext_base <-> swin_base_patch4_window7_224": {
1602
+ "s_local": 0.483,
1603
+ "s_global": 0.7817,
1604
+ "lambda": 0.6184,
1605
+ "tau": 0.7709,
1606
+ "tau_a_to_b": 0.7709,
1607
+ "tau_b_to_a": 0.8125,
1608
+ "tai": 0.0621,
1609
+ "perf_linear": 0.2808,
1610
+ "perf_best": 0.3643,
1611
+ "delta": 0.157,
1612
+ "regime": "Convergent",
1613
+ "raw_overlap": 0.4844
1614
+ },
1615
+ "convnext_base <-> vit_base_patch16_224": {
1616
+ "s_local": 0.336,
1617
+ "s_global": 0.6964,
1618
+ "lambda": 0.482,
1619
+ "tau": 0.4549,
1620
+ "tau_a_to_b": 0.4549,
1621
+ "tau_b_to_a": 0.797,
1622
+ "tai": 0.1206,
1623
+ "perf_linear": 0.1056,
1624
+ "perf_best": 0.2321,
1625
+ "delta": 0.472,
1626
+ "regime": "Local-Only",
1627
+ "raw_overlap": 0.337
1628
+ },
1629
+ "convnext_base <-> vit_base_patch16_224.mae": {
1630
+ "s_local": 0.025,
1631
+ "s_global": 0.1384,
1632
+ "lambda": 0.1792,
1633
+ "tau": 0.0028,
1634
+ "tau_a_to_b": 0.0028,
1635
+ "tau_b_to_a": 0.1686,
1636
+ "tai": 0.6604,
1637
+ "perf_linear": 0.0012,
1638
+ "perf_best": 0.1431,
1639
+ "delta": 6.592,
1640
+ "regime": "Divergent",
1641
+ "raw_overlap": 0.0268
1642
+ },
1643
+ "convnext_base <-> vit_large_patch16_224": {
1644
+ "s_local": 0.396,
1645
+ "s_global": 0.6934,
1646
+ "lambda": 0.5707,
1647
+ "tau": 0.1548,
1648
+ "tau_a_to_b": 0.1548,
1649
+ "tau_b_to_a": 0.6903,
1650
+ "tai": 0.3452,
1651
+ "perf_linear": 0.0296,
1652
+ "perf_best": 0.191,
1653
+ "delta": 0.58,
1654
+ "regime": "Local-Only",
1655
+ "raw_overlap": 0.3969
1656
+ },
1657
+ "convnext_base <-> vit_large_patch16_224.mae": {
1658
+ "s_local": 0.095,
1659
+ "s_global": 0.1963,
1660
+ "lambda": 0.482,
1661
+ "tau": 0.0,
1662
+ "tau_a_to_b": 0.0,
1663
+ "tau_b_to_a": 0.4038,
1664
+ "tai": 0.4487,
1665
+ "perf_linear": 0.0,
1666
+ "perf_best": 0.1958,
1667
+ "delta": 3.343,
1668
+ "regime": "Local-Only",
1669
+ "raw_overlap": 0.0965
1670
+ },
1671
+ "convnext_large <-> dinov2_vitb14": {
1672
+ "s_local": 0.416,
1673
+ "s_global": 0.6637,
1674
+ "lambda": 0.6266,
1675
+ "tau": 0.1975,
1676
+ "tau_a_to_b": 1.0,
1677
+ "tau_b_to_a": 0.1975,
1678
+ "tai": 0.3965,
1679
+ "perf_linear": 0.0506,
1680
+ "perf_best": 0.1547,
1681
+ "delta": 0.116,
1682
+ "regime": "Local-Only",
1683
+ "raw_overlap": 0.4171
1684
+ },
1685
+ "convnext_large <-> dinov2_vitg14": {
1686
+ "s_local": 0.377,
1687
+ "s_global": 0.5954,
1688
+ "lambda": 0.6325,
1689
+ "tau": 0.1723,
1690
+ "tau_a_to_b": 0.3268,
1691
+ "tau_b_to_a": 0.1723,
1692
+ "tai": 0.0552,
1693
+ "perf_linear": 0.0349,
1694
+ "perf_best": 0.2023,
1695
+ "delta": 0.57,
1696
+ "regime": "Local-Only",
1697
+ "raw_overlap": 0.3778
1698
+ },
1699
+ "convnext_large <-> dinov2_vitl14": {
1700
+ "s_local": 0.386,
1701
+ "s_global": 0.5904,
1702
+ "lambda": 0.6546,
1703
+ "tau": 0.1338,
1704
+ "tau_a_to_b": 0.8296,
1705
+ "tau_b_to_a": 0.1338,
1706
+ "tai": 0.5241,
1707
+ "perf_linear": 0.0248,
1708
+ "perf_best": 0.0883,
1709
+ "delta": 0.479,
1710
+ "regime": "Local-Only",
1711
+ "raw_overlap": 0.3877
1712
+ },
1713
+ "convnext_large <-> dinov2_vits14": {
1714
+ "s_local": 0.38,
1715
+ "s_global": 0.646,
1716
+ "lambda": 0.5886,
1717
+ "tau": 0.2375,
1718
+ "tau_a_to_b": 1.0,
1719
+ "tau_b_to_a": 0.2375,
1720
+ "tai": 0.1487,
1721
+ "perf_linear": 0.0748,
1722
+ "perf_best": 0.2681,
1723
+ "delta": 0.733,
1724
+ "regime": "Local-Only",
1725
+ "raw_overlap": 0.3815
1726
+ },
1727
+ "convnext_large <-> efficientnet_b0": {
1728
+ "s_local": 0.255,
1729
+ "s_global": 0.5899,
1730
+ "lambda": 0.4318,
1731
+ "tau": 0.269,
1732
+ "tau_a_to_b": 0.269,
1733
+ "tau_b_to_a": 0.5363,
1734
+ "tai": 0.1671,
1735
+ "perf_linear": 0.0299,
1736
+ "perf_best": 0.0925,
1737
+ "delta": 0.256,
1738
+ "regime": "Local-Only",
1739
+ "raw_overlap": 0.2562
1740
+ },
1741
+ "convnext_large <-> mixer_b16_224": {
1742
+ "s_local": 0.207,
1743
+ "s_global": 0.5802,
1744
+ "lambda": 0.3572,
1745
+ "tau": 0.1455,
1746
+ "tau_a_to_b": 0.1455,
1747
+ "tau_b_to_a": 0.5876,
1748
+ "tai": 0.1832,
1749
+ "perf_linear": 0.0097,
1750
+ "perf_best": 0.0665,
1751
+ "delta": 0.447,
1752
+ "regime": "Local-Only",
1753
+ "raw_overlap": 0.2088
1754
+ },
1755
+ "convnext_large <-> resnet101": {
1756
+ "s_local": 0.297,
1757
+ "s_global": 0.688,
1758
+ "lambda": 0.432,
1759
+ "tau": 0.2889,
1760
+ "tau_a_to_b": 0.2889,
1761
+ "tau_b_to_a": 0.7933,
1762
+ "tai": 0.3186,
1763
+ "perf_linear": 0.0305,
1764
+ "perf_best": 0.1055,
1765
+ "delta": 0.109,
1766
+ "regime": "Local-Only",
1767
+ "raw_overlap": 0.2986
1768
+ },
1769
+ "convnext_large <-> resnet50": {
1770
+ "s_local": 0.23,
1771
+ "s_global": 0.6027,
1772
+ "lambda": 0.3811,
1773
+ "tau": 0.2392,
1774
+ "tau_a_to_b": 0.2392,
1775
+ "tau_b_to_a": 1.0,
1776
+ "tai": 0.2137,
1777
+ "perf_linear": 0.0204,
1778
+ "perf_best": 0.0671,
1779
+ "delta": 0.38,
1780
+ "regime": "Local-Only",
1781
+ "raw_overlap": 0.2312
1782
+ },
1783
+ "convnext_large <-> swin_base_patch4_window7_224": {
1784
+ "s_local": 0.487,
1785
+ "s_global": 0.7755,
1786
+ "lambda": 0.6278,
1787
+ "tau": 0.7538,
1788
+ "tau_a_to_b": 0.8154,
1789
+ "tau_b_to_a": 0.7538,
1790
+ "tai": 0.0033,
1791
+ "perf_linear": 0.2857,
1792
+ "perf_best": 0.3777,
1793
+ "delta": 0.086,
1794
+ "regime": "Convergent",
1795
+ "raw_overlap": 0.4878
1796
+ },
1797
+ "convnext_large <-> vit_base_patch16_224": {
1798
+ "s_local": 0.333,
1799
+ "s_global": 0.6845,
1800
+ "lambda": 0.4871,
1801
+ "tau": 0.5269,
1802
+ "tau_a_to_b": 0.5269,
1803
+ "tau_b_to_a": 0.7348,
1804
+ "tai": 0.0362,
1805
+ "perf_linear": 0.1308,
1806
+ "perf_best": 0.2482,
1807
+ "delta": 0.715,
1808
+ "regime": "Convergent",
1809
+ "raw_overlap": 0.3347
1810
+ },
1811
+ "convnext_large <-> vit_base_patch16_224.mae": {
1812
+ "s_local": 0.026,
1813
+ "s_global": 0.1405,
1814
+ "lambda": 0.1837,
1815
+ "tau": 0.0027,
1816
+ "tau_a_to_b": 0.0027,
1817
+ "tau_b_to_a": 0.1723,
1818
+ "tai": 0.6932,
1819
+ "perf_linear": 0.0012,
1820
+ "perf_best": 0.1369,
1821
+ "delta": 6.836,
1822
+ "regime": "Divergent",
1823
+ "raw_overlap": 0.0277
1824
+ },
1825
+ "convnext_large <-> vit_large_patch16_224": {
1826
+ "s_local": 0.41,
1827
+ "s_global": 0.6902,
1828
+ "lambda": 0.5936,
1829
+ "tau": 0.2073,
1830
+ "tau_a_to_b": 0.2073,
1831
+ "tau_b_to_a": 0.6798,
1832
+ "tai": 0.2469,
1833
+ "perf_linear": 0.0471,
1834
+ "perf_best": 0.2273,
1835
+ "delta": 0.824,
1836
+ "regime": "Local-Only",
1837
+ "raw_overlap": 0.4108
1838
+ },
1839
+ "convnext_large <-> vit_large_patch16_224.mae": {
1840
+ "s_local": 0.096,
1841
+ "s_global": 0.1979,
1842
+ "lambda": 0.483,
1843
+ "tau": 0.0,
1844
+ "tau_a_to_b": 0.0,
1845
+ "tau_b_to_a": 0.4124,
1846
+ "tai": 0.5056,
1847
+ "perf_linear": 0.0,
1848
+ "perf_best": 0.1863,
1849
+ "delta": 3.586,
1850
+ "regime": "Local-Only",
1851
+ "raw_overlap": 0.0974
1852
+ },
1853
+ "dinov2_vitb14 <-> dinov2_vitg14": {
1854
+ "s_local": 0.479,
1855
+ "s_global": 0.6713,
1856
+ "lambda": 0.7129,
1857
+ "tau": 0.355,
1858
+ "tau_a_to_b": 0.355,
1859
+ "tau_b_to_a": 1.0,
1860
+ "tai": 0.3476,
1861
+ "perf_linear": 0.0982,
1862
+ "perf_best": 0.1806,
1863
+ "delta": 0.454,
1864
+ "regime": "Local-Only",
1865
+ "raw_overlap": 0.4797
1866
+ },
1867
+ "dinov2_vitb14 <-> dinov2_vitl14": {
1868
+ "s_local": 0.514,
1869
+ "s_global": 0.6823,
1870
+ "lambda": 0.7529,
1871
+ "tau": 0.4073,
1872
+ "tau_a_to_b": 0.4073,
1873
+ "tau_b_to_a": 0.8111,
1874
+ "tai": 0.0346,
1875
+ "perf_linear": 0.0701,
1876
+ "perf_best": 0.1662,
1877
+ "delta": 0.363,
1878
+ "regime": "Local-Only",
1879
+ "raw_overlap": 0.5147
1880
+ },
1881
+ "dinov2_vitb14 <-> dinov2_vits14": {
1882
+ "s_local": 0.461,
1883
+ "s_global": 0.7086,
1884
+ "lambda": 0.6503,
1885
+ "tau": 0.5372,
1886
+ "tau_a_to_b": 0.9308,
1887
+ "tau_b_to_a": 0.5372,
1888
+ "tai": 0.162,
1889
+ "perf_linear": 0.1646,
1890
+ "perf_best": 0.3065,
1891
+ "delta": 0.849,
1892
+ "regime": "Convergent",
1893
+ "raw_overlap": 0.4619
1894
+ },
1895
+ "dinov2_vitb14 <-> efficientnet_b0": {
1896
+ "s_local": 0.22,
1897
+ "s_global": 0.5169,
1898
+ "lambda": 0.4262,
1899
+ "tau": 0.1618,
1900
+ "tau_a_to_b": 0.1618,
1901
+ "tau_b_to_a": 1.0,
1902
+ "tai": 0.8261,
1903
+ "perf_linear": 0.0074,
1904
+ "perf_best": 0.008,
1905
+ "delta": 0.372,
1906
+ "regime": "Local-Only",
1907
+ "raw_overlap": 0.2218
1908
+ },
1909
+ "dinov2_vitb14 <-> mixer_b16_224": {
1910
+ "s_local": 0.176,
1911
+ "s_global": 0.4627,
1912
+ "lambda": 0.3794,
1913
+ "tau": 0.0878,
1914
+ "tau_a_to_b": 0.0878,
1915
+ "tau_b_to_a": 1.0,
1916
+ "tai": 0.4497,
1917
+ "perf_linear": 0.0013,
1918
+ "perf_best": 0.0084,
1919
+ "delta": 0.563,
1920
+ "regime": "Local-Only",
1921
+ "raw_overlap": 0.1771
1922
+ },
1923
+ "dinov2_vitb14 <-> resnet101": {
1924
+ "s_local": 0.245,
1925
+ "s_global": 0.5659,
1926
+ "lambda": 0.4335,
1927
+ "tau": 0.2055,
1928
+ "tau_a_to_b": 0.2055,
1929
+ "tau_b_to_a": 1.0,
1930
+ "tai": 0.7091,
1931
+ "perf_linear": 0.0117,
1932
+ "perf_best": 0.0166,
1933
+ "delta": 0.006,
1934
+ "regime": "Local-Only",
1935
+ "raw_overlap": 0.2468
1936
+ },
1937
+ "dinov2_vitb14 <-> resnet50": {
1938
+ "s_local": 0.193,
1939
+ "s_global": 0.4969,
1940
+ "lambda": 0.3889,
1941
+ "tau": 0.1525,
1942
+ "tau_a_to_b": 0.1525,
1943
+ "tau_b_to_a": 1.0,
1944
+ "tai": 0.8364,
1945
+ "perf_linear": 0.0078,
1946
+ "perf_best": 0.0083,
1947
+ "delta": 0.496,
1948
+ "regime": "Local-Only",
1949
+ "raw_overlap": 0.1948
1950
+ },
1951
+ "dinov2_vitb14 <-> swin_base_patch4_window7_224": {
1952
+ "s_local": 0.392,
1953
+ "s_global": 0.6451,
1954
+ "lambda": 0.6071,
1955
+ "tau": 0.0816,
1956
+ "tau_a_to_b": 0.0816,
1957
+ "tau_b_to_a": 1.0,
1958
+ "tai": 0.4491,
1959
+ "perf_linear": 0.0178,
1960
+ "perf_best": 0.12,
1961
+ "delta": 0.202,
1962
+ "regime": "Local-Only",
1963
+ "raw_overlap": 0.3928
1964
+ },
1965
+ "dinov2_vitb14 <-> vit_base_patch16_224": {
1966
+ "s_local": 0.287,
1967
+ "s_global": 0.558,
1968
+ "lambda": 0.5142,
1969
+ "tau": 0.1219,
1970
+ "tau_a_to_b": 0.1219,
1971
+ "tau_b_to_a": 1.0,
1972
+ "tai": 0.4562,
1973
+ "perf_linear": 0.0142,
1974
+ "perf_best": 0.0634,
1975
+ "delta": 0.831,
1976
+ "regime": "Local-Only",
1977
+ "raw_overlap": 0.2883
1978
+ },
1979
+ "dinov2_vitb14 <-> vit_base_patch16_224.mae": {
1980
+ "s_local": 0.022,
1981
+ "s_global": 0.1168,
1982
+ "lambda": 0.1849,
1983
+ "tau": 0.0038,
1984
+ "tau_a_to_b": 0.0038,
1985
+ "tau_b_to_a": 0.3127,
1986
+ "tai": 0.8647,
1987
+ "perf_linear": 0.0012,
1988
+ "perf_best": 0.042,
1989
+ "delta": 6.952,
1990
+ "regime": "Divergent",
1991
+ "raw_overlap": 0.0235
1992
+ },
1993
+ "dinov2_vitb14 <-> vit_large_patch16_224": {
1994
+ "s_local": 0.374,
1995
+ "s_global": 0.5783,
1996
+ "lambda": 0.6463,
1997
+ "tau": 0.1323,
1998
+ "tau_a_to_b": 0.1323,
1999
+ "tau_b_to_a": 1.0,
2000
+ "tai": 0.1913,
2001
+ "perf_linear": 0.0172,
2002
+ "perf_best": 0.1054,
2003
+ "delta": 0.939,
2004
+ "regime": "Local-Only",
2005
+ "raw_overlap": 0.375
2006
+ },
2007
+ "dinov2_vitb14 <-> vit_large_patch16_224.mae": {
2008
+ "s_local": 0.086,
2009
+ "s_global": 0.1754,
2010
+ "lambda": 0.4902,
2011
+ "tau": 0.0,
2012
+ "tau_a_to_b": 0.0,
2013
+ "tau_b_to_a": 1.0,
2014
+ "tai": 0.7937,
2015
+ "perf_linear": 0.0,
2016
+ "perf_best": 0.0591,
2017
+ "delta": 3.702,
2018
+ "regime": "Local-Only",
2019
+ "raw_overlap": 0.0878
2020
+ },
2021
+ "dinov2_vitg14 <-> dinov2_vitl14": {
2022
+ "s_local": 0.639,
2023
+ "s_global": 0.7816,
2024
+ "lambda": 0.8181,
2025
+ "tau": 0.5526,
2026
+ "tau_a_to_b": 1.0,
2027
+ "tau_b_to_a": 0.5526,
2028
+ "tai": 0.2547,
2029
+ "perf_linear": 0.2161,
2030
+ "perf_best": 0.2915,
2031
+ "delta": 0.091,
2032
+ "regime": "Convergent",
2033
+ "raw_overlap": 0.6401
2034
+ },
2035
+ "dinov2_vitg14 <-> dinov2_vits14": {
2036
+ "s_local": 0.344,
2037
+ "s_global": 0.5505,
2038
+ "lambda": 0.625,
2039
+ "tau": 0.0995,
2040
+ "tau_a_to_b": 1.0,
2041
+ "tau_b_to_a": 0.0995,
2042
+ "tai": 0.3376,
2043
+ "perf_linear": 0.022,
2044
+ "perf_best": 0.1467,
2045
+ "delta": 1.303,
2046
+ "regime": "Local-Only",
2047
+ "raw_overlap": 0.3453
2048
+ },
2049
+ "dinov2_vitg14 <-> efficientnet_b0": {
2050
+ "s_local": 0.184,
2051
+ "s_global": 0.4137,
2052
+ "lambda": 0.4438,
2053
+ "tau": 0.1942,
2054
+ "tau_a_to_b": 0.5353,
2055
+ "tau_b_to_a": 0.1942,
2056
+ "tai": 0.1809,
2057
+ "perf_linear": 0.0018,
2058
+ "perf_best": 0.0093,
2059
+ "delta": 0.826,
2060
+ "regime": "Local-Only",
2061
+ "raw_overlap": 0.1852
2062
+ },
2063
+ "dinov2_vitg14 <-> mixer_b16_224": {
2064
+ "s_local": 0.154,
2065
+ "s_global": 0.3699,
2066
+ "lambda": 0.417,
2067
+ "tau": 0.326,
2068
+ "tau_a_to_b": 0.3672,
2069
+ "tau_b_to_a": 0.326,
2070
+ "tai": 0.5158,
2071
+ "perf_linear": 0.0017,
2072
+ "perf_best": 0.0047,
2073
+ "delta": 1.017,
2074
+ "regime": "Local-Only",
2075
+ "raw_overlap": 0.1559
2076
+ },
2077
+ "dinov2_vitg14 <-> resnet101": {
2078
+ "s_local": 0.208,
2079
+ "s_global": 0.464,
2080
+ "lambda": 0.4487,
2081
+ "tau": 0.5712,
2082
+ "tau_a_to_b": 0.5854,
2083
+ "tau_b_to_a": 0.5712,
2084
+ "tai": 0.3493,
2085
+ "perf_linear": 0.0071,
2086
+ "perf_best": 0.0124,
2087
+ "delta": 0.461,
2088
+ "regime": "Convergent",
2089
+ "raw_overlap": 0.2098
2090
+ },
2091
+ "dinov2_vitg14 <-> resnet50": {
2092
+ "s_local": 0.166,
2093
+ "s_global": 0.3953,
2094
+ "lambda": 0.4205,
2095
+ "tau": 0.3541,
2096
+ "tau_a_to_b": 0.3541,
2097
+ "tau_b_to_a": 1.0,
2098
+ "tai": 0.7258,
2099
+ "perf_linear": 0.0076,
2100
+ "perf_best": 0.0058,
2101
+ "delta": 0.95,
2102
+ "regime": "Local-Only",
2103
+ "raw_overlap": 0.1679
2104
+ },
2105
+ "dinov2_vitg14 <-> swin_base_patch4_window7_224": {
2106
+ "s_local": 0.349,
2107
+ "s_global": 0.5751,
2108
+ "lambda": 0.6063,
2109
+ "tau": 0.1948,
2110
+ "tau_a_to_b": 0.1948,
2111
+ "tau_b_to_a": 0.4664,
2112
+ "tai": 0.088,
2113
+ "perf_linear": 0.0276,
2114
+ "perf_best": 0.1415,
2115
+ "delta": 0.656,
2116
+ "regime": "Local-Only",
2117
+ "raw_overlap": 0.35
2118
+ },
2119
+ "dinov2_vitg14 <-> vit_base_patch16_224": {
2120
+ "s_local": 0.253,
2121
+ "s_global": 0.4728,
2122
+ "lambda": 0.5347,
2123
+ "tau": 0.2689,
2124
+ "tau_a_to_b": 0.3589,
2125
+ "tau_b_to_a": 0.2689,
2126
+ "tai": 0.4663,
2127
+ "perf_linear": 0.0149,
2128
+ "perf_best": 0.0415,
2129
+ "delta": 1.285,
2130
+ "regime": "Local-Only",
2131
+ "raw_overlap": 0.2543
2132
+ },
2133
+ "dinov2_vitg14 <-> vit_base_patch16_224.mae": {
2134
+ "s_local": 0.02,
2135
+ "s_global": 0.0901,
2136
+ "lambda": 0.218,
2137
+ "tau": 0.0041,
2138
+ "tau_a_to_b": 0.0041,
2139
+ "tau_b_to_a": 0.2696,
2140
+ "tai": 0.8972,
2141
+ "perf_linear": 0.0011,
2142
+ "perf_best": 0.0284,
2143
+ "delta": 7.406,
2144
+ "regime": "Divergent",
2145
+ "raw_overlap": 0.0216
2146
+ },
2147
+ "dinov2_vitg14 <-> vit_large_patch16_224": {
2148
+ "s_local": 0.369,
2149
+ "s_global": 0.5144,
2150
+ "lambda": 0.7165,
2151
+ "tau": 0.1623,
2152
+ "tau_a_to_b": 0.1623,
2153
+ "tau_b_to_a": 0.4235,
2154
+ "tai": 0.4367,
2155
+ "perf_linear": 0.0184,
2156
+ "perf_best": 0.1131,
2157
+ "delta": 1.394,
2158
+ "regime": "Local-Only",
2159
+ "raw_overlap": 0.3698
2160
+ },
2161
+ "dinov2_vitg14 <-> vit_large_patch16_224.mae": {
2162
+ "s_local": 0.08,
2163
+ "s_global": 0.1461,
2164
+ "lambda": 0.5477,
2165
+ "tau": 0.0,
2166
+ "tau_a_to_b": 0.0,
2167
+ "tau_b_to_a": 0.9384,
2168
+ "tai": 0.7575,
2169
+ "perf_linear": 0.0,
2170
+ "perf_best": 0.0549,
2171
+ "delta": 4.156,
2172
+ "regime": "Local-Only",
2173
+ "raw_overlap": 0.0819
2174
+ },
2175
+ "dinov2_vitl14 <-> dinov2_vits14": {
2176
+ "s_local": 0.364,
2177
+ "s_global": 0.5665,
2178
+ "lambda": 0.6419,
2179
+ "tau": 0.1403,
2180
+ "tau_a_to_b": 1.0,
2181
+ "tau_b_to_a": 0.1403,
2182
+ "tai": 0.0557,
2183
+ "perf_linear": 0.0221,
2184
+ "perf_best": 0.1484,
2185
+ "delta": 1.211,
2186
+ "regime": "Local-Only",
2187
+ "raw_overlap": 0.3649
2188
+ },
2189
+ "dinov2_vitl14 <-> efficientnet_b0": {
2190
+ "s_local": 0.191,
2191
+ "s_global": 0.4204,
2192
+ "lambda": 0.4546,
2193
+ "tau": 0.296,
2194
+ "tau_a_to_b": 0.296,
2195
+ "tau_b_to_a": 0.5955,
2196
+ "tai": 0.5299,
2197
+ "perf_linear": 0.0039,
2198
+ "perf_best": 0.0066,
2199
+ "delta": 0.735,
2200
+ "regime": "Local-Only",
2201
+ "raw_overlap": 0.1927
2202
+ },
2203
+ "dinov2_vitl14 <-> mixer_b16_224": {
2204
+ "s_local": 0.157,
2205
+ "s_global": 0.3744,
2206
+ "lambda": 0.4203,
2207
+ "tau": 0.3167,
2208
+ "tau_a_to_b": 0.3167,
2209
+ "tau_b_to_a": 0.5567,
2210
+ "tai": 0.3812,
2211
+ "perf_linear": 0.0013,
2212
+ "perf_best": 0.0041,
2213
+ "delta": 0.926,
2214
+ "regime": "Local-Only",
2215
+ "raw_overlap": 0.1591
2216
+ },
2217
+ "dinov2_vitl14 <-> resnet101": {
2218
+ "s_local": 0.217,
2219
+ "s_global": 0.4652,
2220
+ "lambda": 0.4662,
2221
+ "tau": 0.3696,
2222
+ "tau_a_to_b": 0.3696,
2223
+ "tau_b_to_a": 1.0,
2224
+ "tai": 0.6567,
2225
+ "perf_linear": 0.0099,
2226
+ "perf_best": 0.0092,
2227
+ "delta": 0.369,
2228
+ "regime": "Local-Only",
2229
+ "raw_overlap": 0.2184
2230
+ },
2231
+ "dinov2_vitl14 <-> resnet50": {
2232
+ "s_local": 0.171,
2233
+ "s_global": 0.399,
2234
+ "lambda": 0.4279,
2235
+ "tau": 0.2237,
2236
+ "tau_a_to_b": 0.2237,
2237
+ "tau_b_to_a": 1.0,
2238
+ "tai": 0.7978,
2239
+ "perf_linear": 0.0062,
2240
+ "perf_best": 0.0056,
2241
+ "delta": 0.858,
2242
+ "regime": "Local-Only",
2243
+ "raw_overlap": 0.1724
2244
+ },
2245
+ "dinov2_vitl14 <-> swin_base_patch4_window7_224": {
2246
+ "s_local": 0.357,
2247
+ "s_global": 0.569,
2248
+ "lambda": 0.6273,
2249
+ "tau": 0.0246,
2250
+ "tau_a_to_b": 0.0246,
2251
+ "tau_b_to_a": 0.8182,
2252
+ "tai": 0.6126,
2253
+ "perf_linear": 0.0032,
2254
+ "perf_best": 0.0501,
2255
+ "delta": 0.565,
2256
+ "regime": "Local-Only",
2257
+ "raw_overlap": 0.3582
2258
+ },
2259
+ "dinov2_vitl14 <-> vit_base_patch16_224": {
2260
+ "s_local": 0.258,
2261
+ "s_global": 0.4764,
2262
+ "lambda": 0.5419,
2263
+ "tau": 0.3037,
2264
+ "tau_a_to_b": 0.3037,
2265
+ "tau_b_to_a": 0.571,
2266
+ "tai": 0.4128,
2267
+ "perf_linear": 0.0129,
2268
+ "perf_best": 0.025,
2269
+ "delta": 1.194,
2270
+ "regime": "Local-Only",
2271
+ "raw_overlap": 0.2596
2272
+ },
2273
+ "dinov2_vitl14 <-> vit_base_patch16_224.mae": {
2274
+ "s_local": 0.02,
2275
+ "s_global": 0.0903,
2276
+ "lambda": 0.2218,
2277
+ "tau": 0.005,
2278
+ "tau_a_to_b": 0.005,
2279
+ "tau_b_to_a": 0.4174,
2280
+ "tai": 0.9266,
2281
+ "perf_linear": 0.0012,
2282
+ "perf_best": 0.0175,
2283
+ "delta": 7.314,
2284
+ "regime": "Divergent",
2285
+ "raw_overlap": 0.022
2286
+ },
2287
+ "dinov2_vitl14 <-> vit_large_patch16_224": {
2288
+ "s_local": 0.369,
2289
+ "s_global": 0.5078,
2290
+ "lambda": 0.727,
2291
+ "tau": 0.1926,
2292
+ "tau_a_to_b": 0.1926,
2293
+ "tau_b_to_a": 0.6969,
2294
+ "tai": 0.1874,
2295
+ "perf_linear": 0.0156,
2296
+ "perf_best": 0.0659,
2297
+ "delta": 1.302,
2298
+ "regime": "Local-Only",
2299
+ "raw_overlap": 0.3704
2300
+ },
2301
+ "dinov2_vitl14 <-> vit_large_patch16_224.mae": {
2302
+ "s_local": 0.079,
2303
+ "s_global": 0.1476,
2304
+ "lambda": 0.5353,
2305
+ "tau": 0.0001,
2306
+ "tau_a_to_b": 0.0001,
2307
+ "tau_b_to_a": 1.0,
2308
+ "tai": 0.8847,
2309
+ "perf_linear": 0.0,
2310
+ "perf_best": 0.0235,
2311
+ "delta": 4.065,
2312
+ "regime": "Local-Only",
2313
+ "raw_overlap": 0.0808
2314
+ },
2315
+ "dinov2_vits14 <-> efficientnet_b0": {
2316
+ "s_local": 0.257,
2317
+ "s_global": 0.5826,
2318
+ "lambda": 0.4418,
2319
+ "tau": 0.0869,
2320
+ "tau_a_to_b": 0.0869,
2321
+ "tau_b_to_a": 1.0,
2322
+ "tai": 0.8129,
2323
+ "perf_linear": 0.0134,
2324
+ "perf_best": 0.0289,
2325
+ "delta": 0.477,
2326
+ "regime": "Local-Only",
2327
+ "raw_overlap": 0.2588
2328
+ },
2329
+ "dinov2_vits14 <-> mixer_b16_224": {
2330
+ "s_local": 0.201,
2331
+ "s_global": 0.5155,
2332
+ "lambda": 0.3904,
2333
+ "tau": 0.0209,
2334
+ "tau_a_to_b": 0.0209,
2335
+ "tau_b_to_a": 1.0,
2336
+ "tai": 0.7311,
2337
+ "perf_linear": 0.0025,
2338
+ "perf_best": 0.0317,
2339
+ "delta": 0.286,
2340
+ "regime": "Local-Only",
2341
+ "raw_overlap": 0.2028
2342
+ },
2343
+ "dinov2_vits14 <-> resnet101": {
2344
+ "s_local": 0.272,
2345
+ "s_global": 0.6153,
2346
+ "lambda": 0.4416,
2347
+ "tau": 0.1095,
2348
+ "tau_a_to_b": 0.1095,
2349
+ "tau_b_to_a": 1.0,
2350
+ "tai": 0.4239,
2351
+ "perf_linear": 0.0138,
2352
+ "perf_best": 0.0728,
2353
+ "delta": 0.842,
2354
+ "regime": "Local-Only",
2355
+ "raw_overlap": 0.2731
2356
+ },
2357
+ "dinov2_vits14 <-> resnet50": {
2358
+ "s_local": 0.225,
2359
+ "s_global": 0.5644,
2360
+ "lambda": 0.3982,
2361
+ "tau": 0.0886,
2362
+ "tau_a_to_b": 0.0886,
2363
+ "tau_b_to_a": 1.0,
2364
+ "tai": 0.7009,
2365
+ "perf_linear": 0.0094,
2366
+ "perf_best": 0.0316,
2367
+ "delta": 0.353,
2368
+ "regime": "Local-Only",
2369
+ "raw_overlap": 0.2262
2370
+ },
2371
+ "dinov2_vits14 <-> swin_base_patch4_window7_224": {
2372
+ "s_local": 0.375,
2373
+ "s_global": 0.6482,
2374
+ "lambda": 0.5791,
2375
+ "tau": 0.1523,
2376
+ "tau_a_to_b": 0.1523,
2377
+ "tau_b_to_a": 1.0,
2378
+ "tai": 0.1809,
2379
+ "perf_linear": 0.047,
2380
+ "perf_best": 0.2529,
2381
+ "delta": 0.647,
2382
+ "regime": "Local-Only",
2383
+ "raw_overlap": 0.3766
2384
+ },
2385
+ "dinov2_vits14 <-> vit_base_patch16_224": {
2386
+ "s_local": 0.29,
2387
+ "s_global": 0.5833,
2388
+ "lambda": 0.4974,
2389
+ "tau": 0.0685,
2390
+ "tau_a_to_b": 0.0685,
2391
+ "tau_b_to_a": 1.0,
2392
+ "tai": 0.1595,
2393
+ "perf_linear": 0.017,
2394
+ "perf_best": 0.209,
2395
+ "delta": 0.018,
2396
+ "regime": "Local-Only",
2397
+ "raw_overlap": 0.2915
2398
+ },
2399
+ "dinov2_vits14 <-> vit_base_patch16_224.mae": {
2400
+ "s_local": 0.024,
2401
+ "s_global": 0.144,
2402
+ "lambda": 0.1698,
2403
+ "tau": 0.003,
2404
+ "tau_a_to_b": 0.003,
2405
+ "tau_b_to_a": 0.1607,
2406
+ "tai": 0.6123,
2407
+ "perf_linear": 0.0014,
2408
+ "perf_best": 0.1763,
2409
+ "delta": 6.103,
2410
+ "regime": "Divergent",
2411
+ "raw_overlap": 0.0264
2412
+ },
2413
+ "dinov2_vits14 <-> vit_large_patch16_224": {
2414
+ "s_local": 0.323,
2415
+ "s_global": 0.5669,
2416
+ "lambda": 0.5701,
2417
+ "tau": 0.0768,
2418
+ "tau_a_to_b": 0.0768,
2419
+ "tau_b_to_a": 1.0,
2420
+ "tai": 0.0307,
2421
+ "perf_linear": 0.0151,
2422
+ "perf_best": 0.1971,
2423
+ "delta": 0.091,
2424
+ "regime": "Local-Only",
2425
+ "raw_overlap": 0.3245
2426
+ },
2427
+ "dinov2_vits14 <-> vit_large_patch16_224.mae": {
2428
+ "s_local": 0.1,
2429
+ "s_global": 0.215,
2430
+ "lambda": 0.463,
2431
+ "tau": 0.0,
2432
+ "tau_a_to_b": 0.0,
2433
+ "tau_b_to_a": 0.4342,
2434
+ "tai": 0.4894,
2435
+ "perf_linear": 0.0,
2436
+ "perf_best": 0.2078,
2437
+ "delta": 2.853,
2438
+ "regime": "Local-Only",
2439
+ "raw_overlap": 0.1013
2440
+ },
2441
+ "efficientnet_b0 <-> mixer_b16_224": {
2442
+ "s_local": 0.23,
2443
+ "s_global": 0.6006,
2444
+ "lambda": 0.3828,
2445
+ "tau": 0.6188,
2446
+ "tau_a_to_b": 0.9448,
2447
+ "tau_b_to_a": 0.6188,
2448
+ "tai": 0.5742,
2449
+ "perf_linear": 0.0318,
2450
+ "perf_best": 0.0337,
2451
+ "delta": 0.191,
2452
+ "regime": "Convergent",
2453
+ "raw_overlap": 0.2314
2454
+ },
2455
+ "efficientnet_b0 <-> resnet101": {
2456
+ "s_local": 0.3,
2457
+ "s_global": 0.6931,
2458
+ "lambda": 0.4324,
2459
+ "tau": 0.5747,
2460
+ "tau_a_to_b": 0.5747,
2461
+ "tau_b_to_a": 0.8413,
2462
+ "tai": 0.3487,
2463
+ "perf_linear": 0.0428,
2464
+ "perf_best": 0.0744,
2465
+ "delta": 0.366,
2466
+ "regime": "Convergent",
2467
+ "raw_overlap": 0.3011
2468
+ },
2469
+ "efficientnet_b0 <-> resnet50": {
2470
+ "s_local": 0.3,
2471
+ "s_global": 0.7025,
2472
+ "lambda": 0.4271,
2473
+ "tau": 0.4761,
2474
+ "tau_a_to_b": 0.4761,
2475
+ "tau_b_to_a": 1.0,
2476
+ "tai": 0.1264,
2477
+ "perf_linear": 0.043,
2478
+ "perf_best": 0.0902,
2479
+ "delta": 0.124,
2480
+ "regime": "Local-Only",
2481
+ "raw_overlap": 0.3014
2482
+ },
2483
+ "efficientnet_b0 <-> swin_base_patch4_window7_224": {
2484
+ "s_local": 0.259,
2485
+ "s_global": 0.5962,
2486
+ "lambda": 0.4352,
2487
+ "tau": 0.3716,
2488
+ "tau_a_to_b": 0.8312,
2489
+ "tau_b_to_a": 0.3716,
2490
+ "tai": 0.275,
2491
+ "perf_linear": 0.0357,
2492
+ "perf_best": 0.0696,
2493
+ "delta": 0.17,
2494
+ "regime": "Local-Only",
2495
+ "raw_overlap": 0.2609
2496
+ },
2497
+ "efficientnet_b0 <-> vit_base_patch16_224": {
2498
+ "s_local": 0.237,
2499
+ "s_global": 0.5973,
2500
+ "lambda": 0.3968,
2501
+ "tau": 0.3528,
2502
+ "tau_a_to_b": 0.8763,
2503
+ "tau_b_to_a": 0.3528,
2504
+ "tai": 0.4276,
2505
+ "perf_linear": 0.0384,
2506
+ "perf_best": 0.0623,
2507
+ "delta": 0.459,
2508
+ "regime": "Local-Only",
2509
+ "raw_overlap": 0.2385
2510
+ },
2511
+ "efficientnet_b0 <-> vit_base_patch16_224.mae": {
2512
+ "s_local": 0.031,
2513
+ "s_global": 0.1905,
2514
+ "lambda": 0.1638,
2515
+ "tau": 0.004,
2516
+ "tau_a_to_b": 0.004,
2517
+ "tau_b_to_a": 0.2195,
2518
+ "tai": 0.5851,
2519
+ "perf_linear": 0.0015,
2520
+ "perf_best": 0.1512,
2521
+ "delta": 6.58,
2522
+ "regime": "Divergent",
2523
+ "raw_overlap": 0.0331
2524
+ },
2525
+ "efficientnet_b0 <-> vit_large_patch16_224": {
2526
+ "s_local": 0.207,
2527
+ "s_global": 0.523,
2528
+ "lambda": 0.3952,
2529
+ "tau": 0.2704,
2530
+ "tau_a_to_b": 1.0,
2531
+ "tau_b_to_a": 0.2704,
2532
+ "tai": 0.7966,
2533
+ "perf_linear": 0.0125,
2534
+ "perf_best": 0.0124,
2535
+ "delta": 0.567,
2536
+ "regime": "Local-Only",
2537
+ "raw_overlap": 0.2083
2538
+ },
2539
+ "efficientnet_b0 <-> vit_large_patch16_224.mae": {
2540
+ "s_local": 0.109,
2541
+ "s_global": 0.2538,
2542
+ "lambda": 0.4307,
2543
+ "tau": 0.0,
2544
+ "tau_a_to_b": 0.0,
2545
+ "tau_b_to_a": 0.5914,
2546
+ "tai": 0.4884,
2547
+ "perf_linear": 0.0,
2548
+ "perf_best": 0.1365,
2549
+ "delta": 3.33,
2550
+ "regime": "Local-Only",
2551
+ "raw_overlap": 0.1111
2552
+ },
2553
+ "mixer_b16_224 <-> resnet101": {
2554
+ "s_local": 0.228,
2555
+ "s_global": 0.6747,
2556
+ "lambda": 0.3387,
2557
+ "tau": 0.5199,
2558
+ "tau_a_to_b": 0.5199,
2559
+ "tau_b_to_a": 1.0,
2560
+ "tai": 0.178,
2561
+ "perf_linear": 0.0306,
2562
+ "perf_best": 0.0484,
2563
+ "delta": 0.557,
2564
+ "regime": "Convergent",
2565
+ "raw_overlap": 0.23
2566
+ },
2567
+ "mixer_b16_224 <-> resnet50": {
2568
+ "s_local": 0.229,
2569
+ "s_global": 0.6738,
2570
+ "lambda": 0.3392,
2571
+ "tau": 0.4262,
2572
+ "tau_a_to_b": 0.4262,
2573
+ "tau_b_to_a": 1.0,
2574
+ "tai": 0.4203,
2575
+ "perf_linear": 0.0322,
2576
+ "perf_best": 0.0439,
2577
+ "delta": 0.068,
2578
+ "regime": "Local-Only",
2579
+ "raw_overlap": 0.2301
2580
+ },
2581
+ "mixer_b16_224 <-> swin_base_patch4_window7_224": {
2582
+ "s_local": 0.213,
2583
+ "s_global": 0.5843,
2584
+ "lambda": 0.3642,
2585
+ "tau": 0.2714,
2586
+ "tau_a_to_b": 0.6355,
2587
+ "tau_b_to_a": 0.2714,
2588
+ "tai": 0.2156,
2589
+ "perf_linear": 0.0133,
2590
+ "perf_best": 0.0491,
2591
+ "delta": 0.361,
2592
+ "regime": "Local-Only",
2593
+ "raw_overlap": 0.2144
2594
+ },
2595
+ "mixer_b16_224 <-> vit_base_patch16_224": {
2596
+ "s_local": 0.225,
2597
+ "s_global": 0.6675,
2598
+ "lambda": 0.3376,
2599
+ "tau": 0.179,
2600
+ "tau_a_to_b": 0.4606,
2601
+ "tau_b_to_a": 0.179,
2602
+ "tai": 0.123,
2603
+ "perf_linear": 0.0205,
2604
+ "perf_best": 0.1003,
2605
+ "delta": 0.268,
2606
+ "regime": "Local-Only",
2607
+ "raw_overlap": 0.2268
2608
+ },
2609
+ "mixer_b16_224 <-> vit_base_patch16_224.mae": {
2610
+ "s_local": 0.027,
2611
+ "s_global": 0.1234,
2612
+ "lambda": 0.2213,
2613
+ "tau": 0.0023,
2614
+ "tau_a_to_b": 0.0023,
2615
+ "tau_b_to_a": 0.1359,
2616
+ "tai": 0.5391,
2617
+ "perf_linear": 0.0008,
2618
+ "perf_best": 0.1559,
2619
+ "delta": 6.389,
2620
+ "regime": "Divergent",
2621
+ "raw_overlap": 0.0293
2622
+ },
2623
+ "mixer_b16_224 <-> vit_large_patch16_224": {
2624
+ "s_local": 0.184,
2625
+ "s_global": 0.5775,
2626
+ "lambda": 0.3186,
2627
+ "tau": 0.1801,
2628
+ "tau_a_to_b": 0.7399,
2629
+ "tau_b_to_a": 0.1801,
2630
+ "tai": 0.5523,
2631
+ "perf_linear": 0.0078,
2632
+ "perf_best": 0.0194,
2633
+ "delta": 0.376,
2634
+ "regime": "Local-Only",
2635
+ "raw_overlap": 0.1856
2636
+ },
2637
+ "mixer_b16_224 <-> vit_large_patch16_224.mae": {
2638
+ "s_local": 0.097,
2639
+ "s_global": 0.209,
2640
+ "lambda": 0.4658,
2641
+ "tau": 0.0,
2642
+ "tau_a_to_b": 0.0,
2643
+ "tau_b_to_a": 0.7736,
2644
+ "tai": 0.5366,
2645
+ "perf_linear": 0.0,
2646
+ "perf_best": 0.1161,
2647
+ "delta": 3.139,
2648
+ "regime": "Local-Only",
2649
+ "raw_overlap": 0.0992
2650
+ },
2651
+ "resnet101 <-> resnet50": {
2652
+ "s_local": 0.319,
2653
+ "s_global": 0.7468,
2654
+ "lambda": 0.4278,
2655
+ "tau": 0.5445,
2656
+ "tau_a_to_b": 0.5445,
2657
+ "tau_b_to_a": 1.0,
2658
+ "tai": 0.24,
2659
+ "perf_linear": 0.0587,
2660
+ "perf_best": 0.082,
2661
+ "delta": 0.489,
2662
+ "regime": "Convergent",
2663
+ "raw_overlap": 0.3208
2664
+ },
2665
+ "resnet101 <-> swin_base_patch4_window7_224": {
2666
+ "s_local": 0.294,
2667
+ "s_global": 0.6952,
2668
+ "lambda": 0.4222,
2669
+ "tau": 0.3606,
2670
+ "tau_a_to_b": 1.0,
2671
+ "tau_b_to_a": 0.3606,
2672
+ "tai": 0.329,
2673
+ "perf_linear": 0.0337,
2674
+ "perf_best": 0.0935,
2675
+ "delta": 0.196,
2676
+ "regime": "Local-Only",
2677
+ "raw_overlap": 0.2949
2678
+ },
2679
+ "resnet101 <-> vit_base_patch16_224": {
2680
+ "s_local": 0.259,
2681
+ "s_global": 0.6843,
2682
+ "lambda": 0.3787,
2683
+ "tau": 0.3564,
2684
+ "tau_a_to_b": 1.0,
2685
+ "tau_b_to_a": 0.3564,
2686
+ "tai": 0.1731,
2687
+ "perf_linear": 0.0329,
2688
+ "perf_best": 0.0923,
2689
+ "delta": 0.824,
2690
+ "regime": "Local-Only",
2691
+ "raw_overlap": 0.2606
2692
+ },
2693
+ "resnet101 <-> vit_base_patch16_224.mae": {
2694
+ "s_local": 0.03,
2695
+ "s_global": 0.144,
2696
+ "lambda": 0.2099,
2697
+ "tau": 0.0037,
2698
+ "tau_a_to_b": 0.0037,
2699
+ "tau_b_to_a": 0.2678,
2700
+ "tai": 0.7387,
2701
+ "perf_linear": 0.0012,
2702
+ "perf_best": 0.0858,
2703
+ "delta": 6.945,
2704
+ "regime": "Divergent",
2705
+ "raw_overlap": 0.0321
2706
+ },
2707
+ "resnet101 <-> vit_large_patch16_224": {
2708
+ "s_local": 0.234,
2709
+ "s_global": 0.6192,
2710
+ "lambda": 0.3779,
2711
+ "tau": 0.3229,
2712
+ "tau_a_to_b": 0.8867,
2713
+ "tau_b_to_a": 0.3229,
2714
+ "tai": 0.6101,
2715
+ "perf_linear": 0.0186,
2716
+ "perf_best": 0.0225,
2717
+ "delta": 0.933,
2718
+ "regime": "Local-Only",
2719
+ "raw_overlap": 0.2355
2720
+ },
2721
+ "resnet101 <-> vit_large_patch16_224.mae": {
2722
+ "s_local": 0.106,
2723
+ "s_global": 0.2196,
2724
+ "lambda": 0.483,
2725
+ "tau": 0.0,
2726
+ "tau_a_to_b": 0.0,
2727
+ "tau_b_to_a": 0.7346,
2728
+ "tai": 0.6172,
2729
+ "perf_linear": 0.0,
2730
+ "perf_best": 0.0966,
2731
+ "delta": 3.696,
2732
+ "regime": "Local-Only",
2733
+ "raw_overlap": 0.1078
2734
+ },
2735
+ "resnet50 <-> swin_base_patch4_window7_224": {
2736
+ "s_local": 0.232,
2737
+ "s_global": 0.6064,
2738
+ "lambda": 0.3826,
2739
+ "tau": 0.2863,
2740
+ "tau_a_to_b": 1.0,
2741
+ "tau_b_to_a": 0.2863,
2742
+ "tai": 0.259,
2743
+ "perf_linear": 0.0224,
2744
+ "perf_best": 0.0581,
2745
+ "delta": 0.294,
2746
+ "regime": "Local-Only",
2747
+ "raw_overlap": 0.2335
2748
+ },
2749
+ "resnet50 <-> vit_base_patch16_224": {
2750
+ "s_local": 0.214,
2751
+ "s_global": 0.6391,
2752
+ "lambda": 0.3345,
2753
+ "tau": 0.2533,
2754
+ "tau_a_to_b": 1.0,
2755
+ "tau_b_to_a": 0.2533,
2756
+ "tai": 0.3858,
2757
+ "perf_linear": 0.022,
2758
+ "perf_best": 0.0533,
2759
+ "delta": 0.335,
2760
+ "regime": "Local-Only",
2761
+ "raw_overlap": 0.2153
2762
+ },
2763
+ "resnet50 <-> vit_base_patch16_224.mae": {
2764
+ "s_local": 0.036,
2765
+ "s_global": 0.1715,
2766
+ "lambda": 0.2107,
2767
+ "tau": 0.0038,
2768
+ "tau_a_to_b": 0.0038,
2769
+ "tau_b_to_a": 0.266,
2770
+ "tai": 0.7016,
2771
+ "perf_linear": 0.0014,
2772
+ "perf_best": 0.1115,
2773
+ "delta": 6.456,
2774
+ "regime": "Divergent",
2775
+ "raw_overlap": 0.038
2776
+ },
2777
+ "resnet50 <-> vit_large_patch16_224": {
2778
+ "s_local": 0.189,
2779
+ "s_global": 0.5715,
2780
+ "lambda": 0.3313,
2781
+ "tau": 0.2387,
2782
+ "tau_a_to_b": 1.0,
2783
+ "tau_b_to_a": 0.2387,
2784
+ "tai": 0.8432,
2785
+ "perf_linear": 0.0142,
2786
+ "perf_best": 0.0094,
2787
+ "delta": 0.444,
2788
+ "regime": "Local-Only",
2789
+ "raw_overlap": 0.1909
2790
+ },
2791
+ "resnet50 <-> vit_large_patch16_224.mae": {
2792
+ "s_local": 0.118,
2793
+ "s_global": 0.2724,
2794
+ "lambda": 0.4319,
2795
+ "tau": 0.0,
2796
+ "tau_a_to_b": 0.0,
2797
+ "tau_b_to_a": 0.6797,
2798
+ "tai": 0.5969,
2799
+ "perf_linear": 0.0,
2800
+ "perf_best": 0.1066,
2801
+ "delta": 3.206,
2802
+ "regime": "Local-Only",
2803
+ "raw_overlap": 0.1194
2804
+ },
2805
+ "swin_base_patch4_window7_224 <-> vit_base_patch16_224": {
2806
+ "s_local": 0.335,
2807
+ "s_global": 0.6761,
2808
+ "lambda": 0.4958,
2809
+ "tau": 0.5442,
2810
+ "tau_a_to_b": 0.5442,
2811
+ "tau_b_to_a": 0.712,
2812
+ "tai": 0.0609,
2813
+ "perf_linear": 0.1257,
2814
+ "perf_best": 0.231,
2815
+ "delta": 0.629,
2816
+ "regime": "Convergent",
2817
+ "raw_overlap": 0.3366
2818
+ },
2819
+ "swin_base_patch4_window7_224 <-> vit_base_patch16_224.mae": {
2820
+ "s_local": 0.026,
2821
+ "s_global": 0.149,
2822
+ "lambda": 0.177,
2823
+ "tau": 0.0037,
2824
+ "tau_a_to_b": 0.0037,
2825
+ "tau_b_to_a": 0.1569,
2826
+ "tai": 0.636,
2827
+ "perf_linear": 0.0015,
2828
+ "perf_best": 0.1459,
2829
+ "delta": 6.75,
2830
+ "regime": "Divergent",
2831
+ "raw_overlap": 0.0283
2832
+ },
2833
+ "swin_base_patch4_window7_224 <-> vit_large_patch16_224": {
2834
+ "s_local": 0.385,
2835
+ "s_global": 0.6726,
2836
+ "lambda": 0.5719,
2837
+ "tau": 0.187,
2838
+ "tau_a_to_b": 0.187,
2839
+ "tau_b_to_a": 0.6328,
2840
+ "tai": 0.3007,
2841
+ "perf_linear": 0.0343,
2842
+ "perf_best": 0.1835,
2843
+ "delta": 0.737,
2844
+ "regime": "Local-Only",
2845
+ "raw_overlap": 0.3859
2846
+ },
2847
+ "swin_base_patch4_window7_224 <-> vit_large_patch16_224.mae": {
2848
+ "s_local": 0.1,
2849
+ "s_global": 0.2137,
2850
+ "lambda": 0.4693,
2851
+ "tau": 0.0,
2852
+ "tau_a_to_b": 0.0,
2853
+ "tau_b_to_a": 0.4712,
2854
+ "tai": 0.4661,
2855
+ "perf_linear": 0.0,
2856
+ "perf_best": 0.1856,
2857
+ "delta": 3.5,
2858
+ "regime": "Local-Only",
2859
+ "raw_overlap": 0.1021
2860
+ },
2861
+ "vit_base_patch16_224 <-> vit_base_patch16_224.mae": {
2862
+ "s_local": 0.027,
2863
+ "s_global": 0.1539,
2864
+ "lambda": 0.1724,
2865
+ "tau": 0.0024,
2866
+ "tau_a_to_b": 0.0024,
2867
+ "tau_b_to_a": 0.1956,
2868
+ "tai": 0.6625,
2869
+ "perf_linear": 0.001,
2870
+ "perf_best": 0.1404,
2871
+ "delta": 6.121,
2872
+ "regime": "Divergent",
2873
+ "raw_overlap": 0.0285
2874
+ },
2875
+ "vit_base_patch16_224 <-> vit_large_patch16_224": {
2876
+ "s_local": 0.302,
2877
+ "s_global": 0.6639,
2878
+ "lambda": 0.4548,
2879
+ "tau": 0.219,
2880
+ "tau_a_to_b": 0.219,
2881
+ "tau_b_to_a": 0.5333,
2882
+ "tai": 0.2405,
2883
+ "perf_linear": 0.0351,
2884
+ "perf_best": 0.1604,
2885
+ "delta": 0.108,
2886
+ "regime": "Local-Only",
2887
+ "raw_overlap": 0.3034
2888
+ },
2889
+ "vit_base_patch16_224 <-> vit_large_patch16_224.mae": {
2890
+ "s_local": 0.096,
2891
+ "s_global": 0.2167,
2892
+ "lambda": 0.4438,
2893
+ "tau": 0.0,
2894
+ "tau_a_to_b": 0.0,
2895
+ "tau_b_to_a": 0.5298,
2896
+ "tai": 0.5205,
2897
+ "perf_linear": 0.0,
2898
+ "perf_best": 0.1642,
2899
+ "delta": 2.871,
2900
+ "regime": "Local-Only",
2901
+ "raw_overlap": 0.098
2902
+ },
2903
+ "vit_base_patch16_224.mae <-> vit_large_patch16_224": {
2904
+ "s_local": 0.027,
2905
+ "s_global": 0.1716,
2906
+ "lambda": 0.1554,
2907
+ "tau": 0.0023,
2908
+ "tau_a_to_b": 0.4077,
2909
+ "tau_b_to_a": 0.0023,
2910
+ "tai": 0.8148,
2911
+ "perf_linear": 0.001,
2912
+ "perf_best": 0.0789,
2913
+ "delta": 6.012,
2914
+ "regime": "Divergent",
2915
+ "raw_overlap": 0.0286
2916
+ },
2917
+ "vit_base_patch16_224.mae <-> vit_large_patch16_224.mae": {
2918
+ "s_local": 0.125,
2919
+ "s_global": 0.4191,
2920
+ "lambda": 0.2972,
2921
+ "tau": 0.0208,
2922
+ "tau_a_to_b": 0.0208,
2923
+ "tau_b_to_a": 0.3158,
2924
+ "tai": 0.1829,
2925
+ "perf_linear": 0.012,
2926
+ "perf_best": 0.5784,
2927
+ "delta": 3.25,
2928
+ "regime": "Local-Only",
2929
+ "raw_overlap": 0.1263
2930
+ },
2931
+ "vit_large_patch16_224 <-> vit_large_patch16_224.mae": {
2932
+ "s_local": 0.091,
2933
+ "s_global": 0.218,
2934
+ "lambda": 0.4178,
2935
+ "tau": 0.0,
2936
+ "tau_a_to_b": 0.0,
2937
+ "tau_b_to_a": 0.7922,
2938
+ "tai": 0.7149,
2939
+ "perf_linear": 0.0,
2940
+ "perf_best": 0.099,
2941
+ "delta": 2.763,
2942
+ "regime": "Local-Only",
2943
+ "raw_overlap": 0.0929
2944
+ }
2945
+ },
2946
+ "metadata": {
2947
+ "k": 10,
2948
+ "n_permutations": 100,
2949
+ "seed": 42,
2950
+ "n_models": 20
2951
+ }
2952
+ }
data/audio_atlas.json ADDED
@@ -0,0 +1,378 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "n_models": 6,
3
+ "n_pairs": 15,
4
+ "models": [
5
+ {
6
+ "name": "hubert-base",
7
+ "family": "hubert",
8
+ "objective": "self-supervised",
9
+ "dim": 768
10
+ },
11
+ {
12
+ "name": "hubert-large",
13
+ "family": "hubert",
14
+ "objective": "self-supervised",
15
+ "dim": 1024
16
+ },
17
+ {
18
+ "name": "wav2vec2-base",
19
+ "family": "wav2vec2",
20
+ "objective": "self-supervised",
21
+ "dim": 768
22
+ },
23
+ {
24
+ "name": "wav2vec2-large",
25
+ "family": "wav2vec2",
26
+ "objective": "self-supervised",
27
+ "dim": 1024
28
+ },
29
+ {
30
+ "name": "whisper-base",
31
+ "family": "whisper",
32
+ "objective": "supervised",
33
+ "dim": 512
34
+ },
35
+ {
36
+ "name": "whisper-small",
37
+ "family": "whisper",
38
+ "objective": "supervised",
39
+ "dim": 768
40
+ }
41
+ ],
42
+ "regime_counts": {
43
+ "Local-Only": 14,
44
+ "Convergent": 1
45
+ },
46
+ "pairs": [
47
+ {
48
+ "pair": "hubert-base \u00d7 hubert-large",
49
+ "model_a": "hubert-base",
50
+ "model_b": "hubert-large",
51
+ "family_a": "hubert",
52
+ "family_b": "hubert",
53
+ "objective_a": "self-supervised",
54
+ "objective_b": "self-supervised",
55
+ "s_local": 0.465,
56
+ "s_local_raw": 0.4677,
57
+ "null_mean": 0.005,
58
+ "s_global": 0.778,
59
+ "lambda": 0.5978,
60
+ "tau": 0.0,
61
+ "tau_a_to_b": 0.9469,
62
+ "tau_b_to_a": 0.0,
63
+ "tai": 0.2126,
64
+ "bitrate_a": 5.92,
65
+ "bitrate_b": 7.1,
66
+ "delta": 1.18,
67
+ "regime": "Local-Only"
68
+ },
69
+ {
70
+ "pair": "hubert-base \u00d7 wav2vec2-base",
71
+ "model_a": "hubert-base",
72
+ "model_b": "wav2vec2-base",
73
+ "family_a": "hubert",
74
+ "family_b": "wav2vec2",
75
+ "objective_a": "self-supervised",
76
+ "objective_b": "self-supervised",
77
+ "s_local": 0.3995,
78
+ "s_local_raw": 0.4025,
79
+ "null_mean": 0.005,
80
+ "s_global": 0.6982,
81
+ "lambda": 0.5722,
82
+ "tau": 0.0,
83
+ "tau_a_to_b": 0.0,
84
+ "tau_b_to_a": 0.9042,
85
+ "tai": 0.2619,
86
+ "bitrate_a": 5.92,
87
+ "bitrate_b": 5.37,
88
+ "delta": 0.55,
89
+ "regime": "Local-Only"
90
+ },
91
+ {
92
+ "pair": "hubert-base \u00d7 wav2vec2-large",
93
+ "model_a": "hubert-base",
94
+ "model_b": "wav2vec2-large",
95
+ "family_a": "hubert",
96
+ "family_b": "wav2vec2",
97
+ "objective_a": "self-supervised",
98
+ "objective_b": "self-supervised",
99
+ "s_local": 0.29,
100
+ "s_local_raw": 0.2936,
101
+ "null_mean": 0.005,
102
+ "s_global": 0.7394,
103
+ "lambda": 0.3922,
104
+ "tau": 0.0,
105
+ "tau_a_to_b": 0.0,
106
+ "tau_b_to_a": 0.2579,
107
+ "tai": 0.49,
108
+ "bitrate_a": 5.92,
109
+ "bitrate_b": 3.12,
110
+ "delta": 2.8,
111
+ "regime": "Local-Only"
112
+ },
113
+ {
114
+ "pair": "hubert-base \u00d7 whisper-base",
115
+ "model_a": "hubert-base",
116
+ "model_b": "whisper-base",
117
+ "family_a": "hubert",
118
+ "family_b": "whisper",
119
+ "objective_a": "self-supervised",
120
+ "objective_b": "supervised",
121
+ "s_local": 0.1758,
122
+ "s_local_raw": 0.1799,
123
+ "null_mean": 0.005,
124
+ "s_global": 0.6128,
125
+ "lambda": 0.2868,
126
+ "tau": 0.0,
127
+ "tau_a_to_b": 0.0,
128
+ "tau_b_to_a": 0.6392,
129
+ "tai": 0.3776,
130
+ "bitrate_a": 5.92,
131
+ "bitrate_b": 2.92,
132
+ "delta": 2.99,
133
+ "regime": "Local-Only"
134
+ },
135
+ {
136
+ "pair": "hubert-base \u00d7 whisper-small",
137
+ "model_a": "hubert-base",
138
+ "model_b": "whisper-small",
139
+ "family_a": "hubert",
140
+ "family_b": "whisper",
141
+ "objective_a": "self-supervised",
142
+ "objective_b": "supervised",
143
+ "s_local": 0.1536,
144
+ "s_local_raw": 0.1578,
145
+ "null_mean": 0.005,
146
+ "s_global": 0.6418,
147
+ "lambda": 0.2393,
148
+ "tau": 0.0,
149
+ "tau_a_to_b": 0.0,
150
+ "tau_b_to_a": 0.5425,
151
+ "tai": 0.2367,
152
+ "bitrate_a": 5.92,
153
+ "bitrate_b": 3.31,
154
+ "delta": 2.61,
155
+ "regime": "Local-Only"
156
+ },
157
+ {
158
+ "pair": "hubert-large \u00d7 wav2vec2-base",
159
+ "model_a": "hubert-large",
160
+ "model_b": "wav2vec2-base",
161
+ "family_a": "hubert",
162
+ "family_b": "wav2vec2",
163
+ "objective_a": "self-supervised",
164
+ "objective_b": "self-supervised",
165
+ "s_local": 0.3285,
166
+ "s_local_raw": 0.3318,
167
+ "null_mean": 0.005,
168
+ "s_global": 0.5825,
169
+ "lambda": 0.5639,
170
+ "tau": 0.0,
171
+ "tau_a_to_b": 0.0,
172
+ "tau_b_to_a": 1.0,
173
+ "tai": 0.757,
174
+ "bitrate_a": 7.1,
175
+ "bitrate_b": 5.37,
176
+ "delta": 1.73,
177
+ "regime": "Local-Only"
178
+ },
179
+ {
180
+ "pair": "hubert-large \u00d7 wav2vec2-large",
181
+ "model_a": "hubert-large",
182
+ "model_b": "wav2vec2-large",
183
+ "family_a": "hubert",
184
+ "family_b": "wav2vec2",
185
+ "objective_a": "self-supervised",
186
+ "objective_b": "self-supervised",
187
+ "s_local": 0.2244,
188
+ "s_local_raw": 0.2283,
189
+ "null_mean": 0.005,
190
+ "s_global": 0.5251,
191
+ "lambda": 0.4274,
192
+ "tau": 0.0,
193
+ "tau_a_to_b": 0.0,
194
+ "tau_b_to_a": 0.4506,
195
+ "tai": 0.8781,
196
+ "bitrate_a": 7.1,
197
+ "bitrate_b": 3.12,
198
+ "delta": 3.98,
199
+ "regime": "Local-Only"
200
+ },
201
+ {
202
+ "pair": "hubert-large \u00d7 whisper-base",
203
+ "model_a": "hubert-large",
204
+ "model_b": "whisper-base",
205
+ "family_a": "hubert",
206
+ "family_b": "whisper",
207
+ "objective_a": "self-supervised",
208
+ "objective_b": "supervised",
209
+ "s_local": 0.1444,
210
+ "s_local_raw": 0.1487,
211
+ "null_mean": 0.005,
212
+ "s_global": 0.4495,
213
+ "lambda": 0.3213,
214
+ "tau": 0.0,
215
+ "tau_a_to_b": 0.0,
216
+ "tau_b_to_a": 0.4336,
217
+ "tai": 0.5493,
218
+ "bitrate_a": 7.1,
219
+ "bitrate_b": 2.92,
220
+ "delta": 4.17,
221
+ "regime": "Local-Only"
222
+ },
223
+ {
224
+ "pair": "hubert-large \u00d7 whisper-small",
225
+ "model_a": "hubert-large",
226
+ "model_b": "whisper-small",
227
+ "family_a": "hubert",
228
+ "family_b": "whisper",
229
+ "objective_a": "self-supervised",
230
+ "objective_b": "supervised",
231
+ "s_local": 0.1327,
232
+ "s_local_raw": 0.137,
233
+ "null_mean": 0.005,
234
+ "s_global": 0.4649,
235
+ "lambda": 0.2855,
236
+ "tau": 0.0,
237
+ "tau_a_to_b": 0.0,
238
+ "tau_b_to_a": 0.3516,
239
+ "tai": 0.4067,
240
+ "bitrate_a": 7.1,
241
+ "bitrate_b": 3.31,
242
+ "delta": 3.79,
243
+ "regime": "Local-Only"
244
+ },
245
+ {
246
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
247
+ "model_a": "wav2vec2-base",
248
+ "model_b": "wav2vec2-large",
249
+ "family_a": "wav2vec2",
250
+ "family_b": "wav2vec2",
251
+ "objective_a": "self-supervised",
252
+ "objective_b": "self-supervised",
253
+ "s_local": 0.3109,
254
+ "s_local_raw": 0.3144,
255
+ "null_mean": 0.005,
256
+ "s_global": 0.6808,
257
+ "lambda": 0.4567,
258
+ "tau": 0.0,
259
+ "tau_a_to_b": 0.0,
260
+ "tau_b_to_a": 0.2416,
261
+ "tai": 0.2506,
262
+ "bitrate_a": 5.37,
263
+ "bitrate_b": 3.12,
264
+ "delta": 2.25,
265
+ "regime": "Local-Only"
266
+ },
267
+ {
268
+ "pair": "wav2vec2-base \u00d7 whisper-base",
269
+ "model_a": "wav2vec2-base",
270
+ "model_b": "whisper-base",
271
+ "family_a": "wav2vec2",
272
+ "family_b": "whisper",
273
+ "objective_a": "self-supervised",
274
+ "objective_b": "supervised",
275
+ "s_local": 0.1398,
276
+ "s_local_raw": 0.1442,
277
+ "null_mean": 0.005,
278
+ "s_global": 0.4896,
279
+ "lambda": 0.2856,
280
+ "tau": 0.0,
281
+ "tau_a_to_b": 0.0,
282
+ "tau_b_to_a": 0.6632,
283
+ "tai": 0.3051,
284
+ "bitrate_a": 5.37,
285
+ "bitrate_b": 2.92,
286
+ "delta": 2.44,
287
+ "regime": "Local-Only"
288
+ },
289
+ {
290
+ "pair": "wav2vec2-base \u00d7 whisper-small",
291
+ "model_a": "wav2vec2-base",
292
+ "model_b": "whisper-small",
293
+ "family_a": "wav2vec2",
294
+ "family_b": "whisper",
295
+ "objective_a": "self-supervised",
296
+ "objective_b": "supervised",
297
+ "s_local": 0.1272,
298
+ "s_local_raw": 0.1316,
299
+ "null_mean": 0.005,
300
+ "s_global": 0.5278,
301
+ "lambda": 0.2409,
302
+ "tau": 0.0,
303
+ "tau_a_to_b": 0.0,
304
+ "tau_b_to_a": 0.5144,
305
+ "tai": 0.0109,
306
+ "bitrate_a": 5.37,
307
+ "bitrate_b": 3.31,
308
+ "delta": 2.06,
309
+ "regime": "Local-Only"
310
+ },
311
+ {
312
+ "pair": "wav2vec2-large \u00d7 whisper-base",
313
+ "model_a": "wav2vec2-large",
314
+ "model_b": "whisper-base",
315
+ "family_a": "wav2vec2",
316
+ "family_b": "whisper",
317
+ "objective_a": "self-supervised",
318
+ "objective_b": "supervised",
319
+ "s_local": 0.1415,
320
+ "s_local_raw": 0.1458,
321
+ "null_mean": 0.005,
322
+ "s_global": 0.6056,
323
+ "lambda": 0.2337,
324
+ "tau": 0.0,
325
+ "tau_a_to_b": 0.4827,
326
+ "tau_b_to_a": 0.0,
327
+ "tai": 0.1978,
328
+ "bitrate_a": 3.12,
329
+ "bitrate_b": 2.92,
330
+ "delta": 0.19,
331
+ "regime": "Local-Only"
332
+ },
333
+ {
334
+ "pair": "wav2vec2-large \u00d7 whisper-small",
335
+ "model_a": "wav2vec2-large",
336
+ "model_b": "whisper-small",
337
+ "family_a": "wav2vec2",
338
+ "family_b": "whisper",
339
+ "objective_a": "self-supervised",
340
+ "objective_b": "supervised",
341
+ "s_local": 0.1357,
342
+ "s_local_raw": 0.14,
343
+ "null_mean": 0.005,
344
+ "s_global": 0.6602,
345
+ "lambda": 0.2055,
346
+ "tau": 0.0,
347
+ "tau_a_to_b": 0.4903,
348
+ "tau_b_to_a": 0.0,
349
+ "tai": 0.3098,
350
+ "bitrate_a": 3.12,
351
+ "bitrate_b": 3.31,
352
+ "delta": 0.19,
353
+ "regime": "Local-Only"
354
+ },
355
+ {
356
+ "pair": "whisper-base \u00d7 whisper-small",
357
+ "model_a": "whisper-base",
358
+ "model_b": "whisper-small",
359
+ "family_a": "whisper",
360
+ "family_b": "whisper",
361
+ "objective_a": "supervised",
362
+ "objective_b": "supervised",
363
+ "s_local": 0.2699,
364
+ "s_local_raw": 0.2735,
365
+ "null_mean": 0.005,
366
+ "s_global": 0.9104,
367
+ "lambda": 0.2964,
368
+ "tau": 0.8785,
369
+ "tau_a_to_b": 0.9275,
370
+ "tau_b_to_a": 0.8785,
371
+ "tai": 0.0504,
372
+ "bitrate_a": 2.92,
373
+ "bitrate_b": 3.31,
374
+ "delta": 0.38,
375
+ "regime": "Convergent"
376
+ }
377
+ ]
378
+ }
data/audio_bitrate_sweep.json ADDED
@@ -0,0 +1,354 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "pair": "hubert-base \u00d7 hubert-large",
4
+ "rank": 4,
5
+ "bitrate_a": 1.5,
6
+ "bitrate_b": 1.85,
7
+ "bitrate_mean": 1.68,
8
+ "s_local": 0.0797,
9
+ "tau": 0.3197,
10
+ "tau_a_to_b": 0.898,
11
+ "tau_b_to_a": 0.3197
12
+ },
13
+ {
14
+ "pair": "hubert-base \u00d7 hubert-large",
15
+ "rank": 8,
16
+ "bitrate_a": 2.36,
17
+ "bitrate_b": 2.78,
18
+ "bitrate_mean": 2.57,
19
+ "s_local": 0.1688,
20
+ "tau": 0.1661,
21
+ "tau_a_to_b": 0.9463,
22
+ "tau_b_to_a": 0.1661
23
+ },
24
+ {
25
+ "pair": "hubert-base \u00d7 hubert-large",
26
+ "rank": 16,
27
+ "bitrate_a": 3.22,
28
+ "bitrate_b": 3.7,
29
+ "bitrate_mean": 3.46,
30
+ "s_local": 0.2849,
31
+ "tau": 0.0,
32
+ "tau_a_to_b": 0.8671,
33
+ "tau_b_to_a": 0.0
34
+ },
35
+ {
36
+ "pair": "hubert-base \u00d7 hubert-large",
37
+ "rank": 32,
38
+ "bitrate_a": 4.02,
39
+ "bitrate_b": 4.57,
40
+ "bitrate_mean": 4.3,
41
+ "s_local": 0.3889,
42
+ "tau": 0.0,
43
+ "tau_a_to_b": 0.9345,
44
+ "tau_b_to_a": 0.0
45
+ },
46
+ {
47
+ "pair": "hubert-base \u00d7 hubert-large",
48
+ "rank": 64,
49
+ "bitrate_a": 4.72,
50
+ "bitrate_b": 5.36,
51
+ "bitrate_mean": 5.04,
52
+ "s_local": 0.4443,
53
+ "tau": 0.0,
54
+ "tau_a_to_b": 0.958,
55
+ "tau_b_to_a": 0.0
56
+ },
57
+ {
58
+ "pair": "hubert-base \u00d7 hubert-large",
59
+ "rank": 128,
60
+ "bitrate_a": 5.3,
61
+ "bitrate_b": 6.04,
62
+ "bitrate_mean": 5.67,
63
+ "s_local": 0.4609,
64
+ "tau": 0.0,
65
+ "tau_a_to_b": 0.8862,
66
+ "tau_b_to_a": 0.0
67
+ },
68
+ {
69
+ "pair": "hubert-base \u00d7 hubert-large",
70
+ "rank": 256,
71
+ "bitrate_a": 5.72,
72
+ "bitrate_b": 6.58,
73
+ "bitrate_mean": 6.15,
74
+ "s_local": 0.466,
75
+ "tau": 0.0,
76
+ "tau_a_to_b": 0.878,
77
+ "tau_b_to_a": 0.0
78
+ },
79
+ {
80
+ "pair": "hubert-base \u00d7 hubert-large",
81
+ "rank": 512,
82
+ "bitrate_a": 5.9,
83
+ "bitrate_b": 6.94,
84
+ "bitrate_mean": 6.42,
85
+ "s_local": 0.4656,
86
+ "tau": 0.0,
87
+ "tau_a_to_b": 0.9093,
88
+ "tau_b_to_a": 0.0
89
+ },
90
+ {
91
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
92
+ "rank": 4,
93
+ "bitrate_a": 1.66,
94
+ "bitrate_b": 1.22,
95
+ "bitrate_mean": 1.44,
96
+ "s_local": 0.0395,
97
+ "tau": 0.0,
98
+ "tau_a_to_b": 0.0,
99
+ "tau_b_to_a": 0.3468
100
+ },
101
+ {
102
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
103
+ "rank": 8,
104
+ "bitrate_a": 2.55,
105
+ "bitrate_b": 1.71,
106
+ "bitrate_mean": 2.13,
107
+ "s_local": 0.129,
108
+ "tau": 0.0,
109
+ "tau_a_to_b": 0.0,
110
+ "tau_b_to_a": 0.2715
111
+ },
112
+ {
113
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
114
+ "rank": 16,
115
+ "bitrate_a": 3.38,
116
+ "bitrate_b": 2.21,
117
+ "bitrate_mean": 2.79,
118
+ "s_local": 0.2228,
119
+ "tau": 0.0,
120
+ "tau_a_to_b": 0.0,
121
+ "tau_b_to_a": 0.2522
122
+ },
123
+ {
124
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
125
+ "rank": 32,
126
+ "bitrate_a": 4.1,
127
+ "bitrate_b": 2.59,
128
+ "bitrate_mean": 3.34,
129
+ "s_local": 0.2772,
130
+ "tau": 0.0,
131
+ "tau_a_to_b": 0.0,
132
+ "tau_b_to_a": 0.2403
133
+ },
134
+ {
135
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
136
+ "rank": 64,
137
+ "bitrate_a": 4.65,
138
+ "bitrate_b": 2.86,
139
+ "bitrate_mean": 3.75,
140
+ "s_local": 0.3012,
141
+ "tau": 0.0,
142
+ "tau_a_to_b": 0.0,
143
+ "tau_b_to_a": 0.2556
144
+ },
145
+ {
146
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
147
+ "rank": 128,
148
+ "bitrate_a": 5.05,
149
+ "bitrate_b": 3.02,
150
+ "bitrate_mean": 4.03,
151
+ "s_local": 0.308,
152
+ "tau": 0.0,
153
+ "tau_a_to_b": 0.0,
154
+ "tau_b_to_a": 0.2483
155
+ },
156
+ {
157
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
158
+ "rank": 256,
159
+ "bitrate_a": 5.28,
160
+ "bitrate_b": 3.09,
161
+ "bitrate_mean": 4.18,
162
+ "s_local": 0.3102,
163
+ "tau": 0.0,
164
+ "tau_a_to_b": 0.0,
165
+ "tau_b_to_a": 0.2457
166
+ },
167
+ {
168
+ "pair": "wav2vec2-base \u00d7 wav2vec2-large",
169
+ "rank": 512,
170
+ "bitrate_a": 5.36,
171
+ "bitrate_b": 3.11,
172
+ "bitrate_mean": 4.24,
173
+ "s_local": 0.3105,
174
+ "tau": 0.0,
175
+ "tau_a_to_b": 0.0,
176
+ "tau_b_to_a": 0.2425
177
+ },
178
+ {
179
+ "pair": "hubert-base \u00d7 whisper-base",
180
+ "rank": 4,
181
+ "bitrate_a": 1.5,
182
+ "bitrate_b": 1.02,
183
+ "bitrate_mean": 1.26,
184
+ "s_local": 0.0356,
185
+ "tau": 0.0,
186
+ "tau_a_to_b": 0.0,
187
+ "tau_b_to_a": 0.6114
188
+ },
189
+ {
190
+ "pair": "hubert-base \u00d7 whisper-base",
191
+ "rank": 8,
192
+ "bitrate_a": 2.36,
193
+ "bitrate_b": 1.36,
194
+ "bitrate_mean": 1.86,
195
+ "s_local": 0.0705,
196
+ "tau": 0.0,
197
+ "tau_a_to_b": 0.0,
198
+ "tau_b_to_a": 0.6367
199
+ },
200
+ {
201
+ "pair": "hubert-base \u00d7 whisper-base",
202
+ "rank": 16,
203
+ "bitrate_a": 3.22,
204
+ "bitrate_b": 1.72,
205
+ "bitrate_mean": 2.47,
206
+ "s_local": 0.1247,
207
+ "tau": 0.0,
208
+ "tau_a_to_b": 0.0,
209
+ "tau_b_to_a": 0.6314
210
+ },
211
+ {
212
+ "pair": "hubert-base \u00d7 whisper-base",
213
+ "rank": 32,
214
+ "bitrate_a": 4.02,
215
+ "bitrate_b": 2.05,
216
+ "bitrate_mean": 3.03,
217
+ "s_local": 0.16,
218
+ "tau": 0.0,
219
+ "tau_a_to_b": 0.0,
220
+ "tau_b_to_a": 0.6296
221
+ },
222
+ {
223
+ "pair": "hubert-base \u00d7 whisper-base",
224
+ "rank": 64,
225
+ "bitrate_a": 4.72,
226
+ "bitrate_b": 2.35,
227
+ "bitrate_mean": 3.54,
228
+ "s_local": 0.1715,
229
+ "tau": 0.0,
230
+ "tau_a_to_b": 0.0,
231
+ "tau_b_to_a": 0.6505
232
+ },
233
+ {
234
+ "pair": "hubert-base \u00d7 whisper-base",
235
+ "rank": 128,
236
+ "bitrate_a": 5.3,
237
+ "bitrate_b": 2.62,
238
+ "bitrate_mean": 3.96,
239
+ "s_local": 0.1766,
240
+ "tau": 0.0,
241
+ "tau_a_to_b": 0.0,
242
+ "tau_b_to_a": 0.646
243
+ },
244
+ {
245
+ "pair": "hubert-base \u00d7 whisper-base",
246
+ "rank": 256,
247
+ "bitrate_a": 5.72,
248
+ "bitrate_b": 2.82,
249
+ "bitrate_mean": 4.27,
250
+ "s_local": 0.1769,
251
+ "tau": 0.0,
252
+ "tau_a_to_b": 0.0,
253
+ "tau_b_to_a": 0.6411
254
+ },
255
+ {
256
+ "pair": "hubert-base \u00d7 whisper-base",
257
+ "rank": 512,
258
+ "bitrate_a": 5.9,
259
+ "bitrate_b": 2.93,
260
+ "bitrate_mean": 4.41,
261
+ "s_local": 0.1757,
262
+ "tau": 0.0,
263
+ "tau_a_to_b": 0.0,
264
+ "tau_b_to_a": 0.6281
265
+ },
266
+ {
267
+ "pair": "wav2vec2-large \u00d7 whisper-small",
268
+ "rank": 4,
269
+ "bitrate_a": 1.22,
270
+ "bitrate_b": 1.4,
271
+ "bitrate_mean": 1.31,
272
+ "s_local": 0.0265,
273
+ "tau": 0.0,
274
+ "tau_a_to_b": 0.3756,
275
+ "tau_b_to_a": 0.0
276
+ },
277
+ {
278
+ "pair": "wav2vec2-large \u00d7 whisper-small",
279
+ "rank": 8,
280
+ "bitrate_a": 1.71,
281
+ "bitrate_b": 1.73,
282
+ "bitrate_mean": 1.72,
283
+ "s_local": 0.0512,
284
+ "tau": 0.0,
285
+ "tau_a_to_b": 0.4279,
286
+ "tau_b_to_a": 0.0
287
+ },
288
+ {
289
+ "pair": "wav2vec2-large \u00d7 whisper-small",
290
+ "rank": 16,
291
+ "bitrate_a": 2.21,
292
+ "bitrate_b": 2.08,
293
+ "bitrate_mean": 2.14,
294
+ "s_local": 0.0874,
295
+ "tau": 0.0,
296
+ "tau_a_to_b": 0.4383,
297
+ "tau_b_to_a": 0.0
298
+ },
299
+ {
300
+ "pair": "wav2vec2-large \u00d7 whisper-small",
301
+ "rank": 32,
302
+ "bitrate_a": 2.59,
303
+ "bitrate_b": 2.38,
304
+ "bitrate_mean": 2.48,
305
+ "s_local": 0.1166,
306
+ "tau": 0.0,
307
+ "tau_a_to_b": 0.4573,
308
+ "tau_b_to_a": 0.0
309
+ },
310
+ {
311
+ "pair": "wav2vec2-large \u00d7 whisper-small",
312
+ "rank": 64,
313
+ "bitrate_a": 2.86,
314
+ "bitrate_b": 2.65,
315
+ "bitrate_mean": 2.75,
316
+ "s_local": 0.1307,
317
+ "tau": 0.0,
318
+ "tau_a_to_b": 0.4566,
319
+ "tau_b_to_a": 0.0
320
+ },
321
+ {
322
+ "pair": "wav2vec2-large \u00d7 whisper-small",
323
+ "rank": 128,
324
+ "bitrate_a": 3.02,
325
+ "bitrate_b": 2.9,
326
+ "bitrate_mean": 2.96,
327
+ "s_local": 0.1341,
328
+ "tau": 0.0,
329
+ "tau_a_to_b": 0.4778,
330
+ "tau_b_to_a": 0.0
331
+ },
332
+ {
333
+ "pair": "wav2vec2-large \u00d7 whisper-small",
334
+ "rank": 256,
335
+ "bitrate_a": 3.09,
336
+ "bitrate_b": 3.11,
337
+ "bitrate_mean": 3.1,
338
+ "s_local": 0.1356,
339
+ "tau": 0.0,
340
+ "tau_a_to_b": 0.4678,
341
+ "tau_b_to_a": 0.0
342
+ },
343
+ {
344
+ "pair": "wav2vec2-large \u00d7 whisper-small",
345
+ "rank": 512,
346
+ "bitrate_a": 3.11,
347
+ "bitrate_b": 3.26,
348
+ "bitrate_mean": 3.19,
349
+ "s_local": 0.1356,
350
+ "tau": 0.0,
351
+ "tau_a_to_b": 0.47,
352
+ "tau_b_to_a": 0.0
353
+ }
354
+ ]
data/audio_features/extraction.log ADDED
The diff for this file is too large to render. See raw diff
 
data/audio_features/hubert-base.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9eca1b1eaa7b6b98897daa695f21c096fe2dbb20c16e2e2e6ded2c52ef710b1
3
+ size 6145797
data/audio_features/hubert-large.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d6409596c601eda2f8fed3f1bd55c55c25ec0e19f992194249302214f35cc7ab
3
+ size 8193804
data/audio_features/wav2vec2-base.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6987e8993ef7f7018cd66c3367ee6671275aa8685eea50a039df8b48b57de823
3
+ size 6145811
data/audio_features/wav2vec2-large.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2189f0b4aeab68c4c2086ed77afb2a33515c3b0410ba475adc38c52c5c9feb03
3
+ size 8193818
data/audio_features/whisper-base.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:444b07d7c5a60d5c0f34d1dc9cd8df4fef9afe18b27f25694696e8ecc4f585cd
3
+ size 4097804
data/audio_features/whisper-small.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed16a1304a6c93555c45b5cf46929435ca546e827c68ebe9425765c172493d85
3
+ size 6145811
data/bitrate_estimator_robustness.json ADDED
The diff for this file is too large to render. See raw diff
 
data/cifar100_test_labels.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94702b87d4a6529eb5b052e55143dfce4f5d22f0620ff40e197a917b7a3d3a22
3
+ size 41668
data/cifar100_train_labels.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b11d50c7a557958abb11f3754b5d4dd1c7e73ce94f7b76ba0cfc4d5db2f6627d
3
+ size 41675
data/croissant.json ADDED
@@ -0,0 +1,318 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "@context": {
3
+ "@language": "en",
4
+ "@vocab": "https://schema.org/",
5
+ "citeAs": "cr:citeAs",
6
+ "column": "cr:column",
7
+ "conformsTo": "dct:conformsTo",
8
+ "cr": "http://mlcommons.org/croissant/",
9
+ "rai": "http://mlcommons.org/croissant/RAI/",
10
+ "data": {
11
+ "@id": "cr:data",
12
+ "@type": "@json"
13
+ },
14
+ "dataType": {
15
+ "@id": "cr:dataType",
16
+ "@type": "@vocab"
17
+ },
18
+ "dct": "http://purl.org/dc/terms/",
19
+ "examples": {
20
+ "@id": "cr:examples",
21
+ "@type": "@json"
22
+ },
23
+ "extract": "cr:extract",
24
+ "field": "cr:field",
25
+ "fileProperty": "cr:fileProperty",
26
+ "fileObject": "cr:fileObject",
27
+ "fileSet": "cr:fileSet",
28
+ "format": "cr:format",
29
+ "includes": "cr:includes",
30
+ "isLiveDataset": "cr:isLiveDataset",
31
+ "jsonPath": "cr:jsonPath",
32
+ "key": "cr:key",
33
+ "md5": "cr:md5",
34
+ "parentField": "cr:parentField",
35
+ "path": "cr:path",
36
+ "recordSet": "cr:recordSet",
37
+ "references": "cr:references",
38
+ "regex": "cr:regex",
39
+ "repeated": "cr:repeated",
40
+ "replace": "cr:replace",
41
+ "sc": "https://schema.org/",
42
+ "separator": "cr:separator",
43
+ "source": "cr:source",
44
+ "subField": "cr:subField",
45
+ "transform": "cr:transform"
46
+ },
47
+ "@type": "sc:Dataset",
48
+ "name": "BCCT-Hub",
49
+ "description": "BCCT-Hub: a benchmark and toolkit for measuring representation convergence across model families. The release contains four pre-computed pairwise compatibility atlases (vision: 190 pairs across 20 encoders; language: 36 pairs across 9 LLMs; audio: 15 pairs; video: 15 pairs), 41 pre-extracted feature tensors, statistical-analysis JSON outputs, an 88-paper meta-analysis CSV, and a per-claim artifact manifest mapping every paper claim to its producing script. The release accompanies a NeurIPS 2026 Evaluations & Datasets Track submission and is intended for representation-similarity benchmarking research.",
50
+ "url": "https://anonymous.4open.science/r/bcct-hub",
51
+ "version": "0.1.0",
52
+ "license": "https://www.apache.org/licenses/LICENSE-2.0",
53
+ "citeAs": "Anonymous Authors. BCCT-Hub: A Benchmark and Toolkit for Measuring Representation Convergence Across Model Families. NeurIPS 2026 Evaluations & Datasets Track (under review).",
54
+ "datePublished": "2026-05-06",
55
+ "conformsTo": "http://mlcommons.org/croissant/1.0",
56
+ "keywords": [
57
+ "representation-similarity",
58
+ "convergence",
59
+ "transport",
60
+ "benchmark",
61
+ "scorecard",
62
+ "alignment",
63
+ "evaluation"
64
+ ],
65
+
66
+ "rai:dataCollection": "Pairwise BCCT metrics (effective-rank bitrate, null-calibrated mutual k-NN, CKA, Procrustes-based transport linearity, transport asymmetry, bottleneck mismatch) were computed on features extracted from publicly available pretrained encoders (CLIP, DINOv2, ResNet, ViT, ConvNeXt, MAE, BEiT, MLP-Mixer, Swin, EfficientNet, Pythia, OPT, Phi-2, GPT-2, LLaMA-style models, and others). Source data are CIFAR-100 (vision test, 5000 images), STL-10 (vision robustness check; pseudo-clip rendering for video atlas), WikiText-103 (language, 2000 passages of 128 tokens), and LibriSpeech test-clean (audio). All extraction is deterministic with seed 42.",
67
+
68
+ "rai:dataCollectionType": ["Derived from public pretrained models and standard benchmarks"],
69
+ "rai:dataCollectionTimeFrame": {
70
+ "@type": "sc:DateTime",
71
+ "@value": "2026-01-01/2026-06-30"
72
+ },
73
+ "rai:dataCollectionTimeFrameDescription": "Feature extraction and atlas computation were performed in 2026 (Q1-Q2). Source pretrained-model snapshots and benchmark releases are documented per row in the released JSON.",
74
+ "rai:dataAnnotationProtocol": "No human annotation. All numerical values are deterministic outputs of standardized scripts (scripts/extract_features*.py, scripts/compute_alignment_atlas.py, scripts/compute_audio_atlas.py, scripts/compute_video_atlas.py, scripts/llm_experiment.py).",
75
+ "rai:dataAnnotationPlatform": "Not applicable (no human annotation).",
76
+ "rai:dataAnnotationAnalysis": "Not applicable.",
77
+ "rai:dataAnnotatorDemographics": "Not applicable.",
78
+
79
+ "rai:dataPreprocessingProtocol": "Vision images: resize 256, center-crop 224, ImageNet mean/std normalization. STL-10: 96 to 224 upscale. LibriSpeech: 16 kHz mono, model-specific feature extractors. WikiText-103: 128-token windows, attention-mask-aware mean pooling. All pipelines fixed in scripts/ with seed=42.",
80
+
81
+ "rai:dataLimitations": "Audio uses a single clean English corpus (LibriSpeech test-clean) and is preliminary at n=15 pairs. Video uses STL-10 pseudo-clips (no genuine temporal structure) and is preliminary at n=15 pairs. The largest LLMs are 7B parameters (Mistral-7B, Falcon-7B, Pythia-6.9B); whether the regime distribution shifts at frontier scale (70B+) is untested. All LLMs in the atlas are base/pretrained-only, no instruction-tuned or RLHF models. The vision atlas is monolingual-equivalent (image-only, no text). Bitrate is reported as an effective-rank covariance proxy, not a calibrated mutual-information estimate. Transport linearity is defined relative to a standardized 2-layer MLP probe and is not an oracle nonlinear comparison. Pre-computed compatibility predictions assume the atlas's feature-extraction protocol; cross-protocol pairs are systematically flagged Divergent (see Appendix G of the accompanying paper).",
82
+
83
+ "rai:dataBiases": "The 88-paper meta-analysis (data/meta_analysis.csv) is biased toward vision (51/88) over language (16) and audio (3), reflecting publication frequency in representational similarity research up to 2026. The vision atlas is biased toward English-language web/image-corpus pretraining (CLIP, DINOv2 trained on LVD-142M; ImageNet-trained supervised baselines). The LLM atlas is English-only. Family selection is biased toward openly available checkpoints; closed-source models (GPT-4 class) are excluded by necessity, and recent permissively licensed code-generation or multilingual models may be under-represented.",
84
+
85
+ "rai:dataPersonalSensitiveInformation": "The release contains no personal or sensitive information. All four atlases are statistical summaries (similarity scores, regime labels) over public benchmark stimuli (CIFAR-100, STL-10, WikiText-103, LibriSpeech test-clean), and the released feature tensors are deterministic activations of public pretrained models on these public benchmarks. CIFAR-100 and STL-10 contain no personal data. LibriSpeech test-clean contains read public-domain audiobook recordings with speaker IDs released by the LibriVox/LibriSpeech project; we use only model activations, not raw audio. WikiText-103 is derived from Wikipedia featured/good articles. No demographic, health, financial, political, or religious information is collected, inferred, or released.",
86
+
87
+ "rai:dataUseCases": "Intended uses (validated in the accompanying paper): (a) compatibility screening between candidate model pairs prior to model-stitching or knowledge-transfer experiments; (b) reproducing and auditing the headline statistical findings of the paper (mixed-effects family beta=0.20, block-bootstrap rho=-0.70, retrieval rho=0.76); (c) extending the atlas with new encoders by re-running the extraction pipeline; (d) regression testing for representation-similarity research that builds on CKA, mutual k-NN, Procrustes-based transport, or effective-rank proxies. Out-of-scope uses (NOT validated and explicitly not recommended): (i) deployment-time decisions about whether two production models are interchangeable in a downstream application; (ii) safety or fairness certification of any individual encoder; (iii) inference about model training data, intellectual property, or copyright provenance from feature-space similarity.",
88
+
89
+ "rai:dataSocialImpact": "Positive impact: standardized evaluation protocols reduce wasted compute on incompatible model pairs, support reproducible representational-similarity research, and surface honest negative findings (e.g., the 35/190 disagreement cases in which CKA looks high but linear transport fails). Negative impact / misuse risk: BCCT scores are diagnostic summaries for comparative research, not deployment guarantees; we explicitly state that BCCT scores must not be used as certifications of safe model interchangeability. Misreading the scorecard as a safety stamp could be harmful when applied to production-critical interchangeability decisions. We mitigate this risk by making the scope statement prominent in the abstract, the conclusion, and the Reviewer Checklist, and by releasing the full per-claim manifest so any user can trace any reported number back to its producing script.",
90
+
91
+ "rai:dataReleaseMaintenancePlan": "Versioned release at the anonymous URL during review; planned migration to a persistent platform (Hugging Face Datasets and/or OpenML) at camera-ready, with a DOI for the 0.1.0 snapshot. Issue tracker on the public repository will accept extension requests (new encoders) and bug reports (numerical inconsistencies). Version policy: minor releases for added encoders; major releases for atlas-recomputation under different feature-extraction protocols.",
92
+
93
+ "isLiveDataset": false,
94
+
95
+ "creator": {
96
+ "@type": "Organization",
97
+ "name": "Anonymous"
98
+ },
99
+
100
+ "distribution": [
101
+ {
102
+ "@type": "cr:FileObject",
103
+ "@id": "bcct-hub-root",
104
+ "name": "bcct-hub-archive",
105
+ "description": "Root archive of the BCCT-Hub release; contains all feature tensors, experiment JSONs, atlas JSONs, scripts, and the paper. The release URL serves an anonymous source archive during NeurIPS 2026 review and a versioned snapshot post camera-ready.",
106
+ "contentUrl": "https://anonymous.4open.science/r/bcct-hub",
107
+ "encodingFormat": "application/zip",
108
+ "sha256": "PENDING_FINAL_REPOSITORY_SNAPSHOT_HASH"
109
+ },
110
+ {
111
+ "@type": "cr:FileObject",
112
+ "@id": "atlas-vision",
113
+ "name": "atlas.json",
114
+ "description": "Vision compatibility atlas: 190 pairs across 20 pretrained encoders on CIFAR-100 test (5000 images). Each pair has six BCCT metrics and a regime label.",
115
+ "contentUrl": "data/atlas.json",
116
+ "encodingFormat": "application/json",
117
+ "sha256": "c8826acc8352017e5f3e0c599666f71ee367fdf1677fa9cd4d6c6b64aa9a6a77"
118
+ },
119
+ {
120
+ "@type": "cr:FileObject",
121
+ "@id": "atlas-llm",
122
+ "name": "llm_atlas.json",
123
+ "description": "Language compatibility atlas: 36 pairs across 9 base LLMs on WikiText-103 (2000 passages of 128 tokens).",
124
+ "contentUrl": "data/llm_atlas.json",
125
+ "encodingFormat": "application/json",
126
+ "sha256": "56543b9b58b2855a64749aa9a158cdcb9a06fcf7f1bfc662ebe7afb1026b28dd"
127
+ },
128
+ {
129
+ "@type": "cr:FileObject",
130
+ "@id": "atlas-audio",
131
+ "name": "audio_atlas.json",
132
+ "description": "Preliminary audio compatibility atlas: 15 pairs across 6 audio encoders on LibriSpeech test-clean.",
133
+ "contentUrl": "data/audio_atlas.json",
134
+ "encodingFormat": "application/json",
135
+ "sha256": "f6c09f96fe301fc8156421a18d10534ea704cea0c598aac87bb9f4e0142c20a5"
136
+ },
137
+ {
138
+ "@type": "cr:FileObject",
139
+ "@id": "atlas-video",
140
+ "name": "video_atlas.json",
141
+ "description": "Exploratory video compatibility atlas: 15 pairs across 6 video encoders on STL-10 pseudo-clips.",
142
+ "contentUrl": "data/video_atlas.json",
143
+ "encodingFormat": "application/json",
144
+ "sha256": "189e11c2a70eb7ec96a3dd112d86b9ffa0651745c8d6ddfcec67a041f4b6e752"
145
+ },
146
+ {
147
+ "@type": "cr:FileObject",
148
+ "@id": "meta-analysis-csv",
149
+ "name": "meta_analysis.csv",
150
+ "description": "88-paper meta-analysis extraction (cite key, year, thread, domain, scale tier, metric type, reported value, inferred BCCT regime, key finding).",
151
+ "contentUrl": "data/meta_analysis.csv",
152
+ "encodingFormat": "text/csv",
153
+ "sha256": "d9e1c0d0eb70ec4d9d4036465643696a0b03222ae0783084c82fda40ed43b0d8"
154
+ },
155
+ {
156
+ "@type": "cr:FileSet",
157
+ "@id": "experiment-results",
158
+ "name": "experiments",
159
+ "description": "Statistical and downstream-utility analysis JSON outputs (mixed-effects, holdout validation, retrieval, stitching, external scorecard study, threshold sensitivity, probe variance, knn sensitivity, metric ablation, regime clustering, etc.).",
160
+ "containedIn": {"@id": "bcct-hub-root"},
161
+ "encodingFormat": "application/json",
162
+ "includes": "data/experiments/*.json"
163
+ },
164
+ {
165
+ "@type": "cr:FileSet",
166
+ "@id": "vision-features",
167
+ "name": "vision-features",
168
+ "description": "Pre-extracted feature tensors for 20 vision encoders on CIFAR-100 test (5000 images).",
169
+ "containedIn": {"@id": "bcct-hub-root"},
170
+ "encodingFormat": "application/x-pytorch",
171
+ "includes": "data/features/*.pt"
172
+ },
173
+ {
174
+ "@type": "cr:FileSet",
175
+ "@id": "vision-features-train",
176
+ "name": "vision-features-train",
177
+ "description": "Pre-extracted feature tensors for 20 vision encoders on a CIFAR-100 train subset (seed=42; 5000 images).",
178
+ "containedIn": {"@id": "bcct-hub-root"},
179
+ "encodingFormat": "application/x-pytorch",
180
+ "includes": "data/features_train/*.pt"
181
+ },
182
+ {
183
+ "@type": "cr:FileSet",
184
+ "@id": "external-features",
185
+ "name": "external-features",
186
+ "description": "Pre-extracted feature tensors for 5 out-of-atlas vision encoders used in the external scorecard case study (Appendix G).",
187
+ "containedIn": {"@id": "bcct-hub-root"},
188
+ "encodingFormat": "application/x-pytorch",
189
+ "includes": "data/features_external/**/*.pt"
190
+ }
191
+ ],
192
+
193
+ "recordSet": [
194
+ {
195
+ "@type": "cr:RecordSet",
196
+ "@id": "vision-pair-records",
197
+ "name": "vision-pairwise",
198
+ "description": "Per-pair records of the vision compatibility atlas. Each record is a unique pair of two of the 20 atlas encoders.",
199
+ "field": [
200
+ {
201
+ "@type": "cr:Field",
202
+ "@id": "vision-pair-records/pair_key",
203
+ "name": "pair_key",
204
+ "description": "Human-readable pair name in the form 'encoder_a <-> encoder_b'.",
205
+ "dataType": "sc:Text",
206
+ "source": {
207
+ "fileObject": {"@id": "atlas-vision"},
208
+ "extract": {"jsonPath": "$.pairwise[*]"}
209
+ }
210
+ },
211
+ {
212
+ "@type": "cr:Field",
213
+ "@id": "vision-pair-records/s_local",
214
+ "name": "s_local",
215
+ "description": "Null-calibrated mutual k-NN overlap (k=10, 1000 permutations).",
216
+ "dataType": "sc:Float"
217
+ },
218
+ {
219
+ "@type": "cr:Field",
220
+ "@id": "vision-pair-records/s_global",
221
+ "name": "s_global",
222
+ "description": "Linear centered kernel alignment (CKA) on Gram matrices.",
223
+ "dataType": "sc:Float"
224
+ },
225
+ {
226
+ "@type": "cr:Field",
227
+ "@id": "vision-pair-records/tau",
228
+ "name": "tau",
229
+ "description": "Bidirectional conservative transport linearity score: min(tau_AB, tau_BA), per-dimension R^2 ratio of orthogonal Procrustes to a standardized 2-layer MLP probe on 80/20 train/test splits.",
230
+ "dataType": "sc:Float"
231
+ },
232
+ {
233
+ "@type": "cr:Field",
234
+ "@id": "vision-pair-records/tai",
235
+ "name": "tai",
236
+ "description": "Transport asymmetry index: |perf(A->B) - perf(B->A)| / max.",
237
+ "dataType": "sc:Float"
238
+ },
239
+ {
240
+ "@type": "cr:Field",
241
+ "@id": "vision-pair-records/delta",
242
+ "name": "delta",
243
+ "description": "Bottleneck mismatch: absolute difference of effective-rank bitrate proxies.",
244
+ "dataType": "sc:Float"
245
+ },
246
+ {
247
+ "@type": "cr:Field",
248
+ "@id": "vision-pair-records/regime",
249
+ "name": "regime",
250
+ "description": "BCCT regime classification: one of {Collapsed, Local-Only, Convergent, Divergent}.",
251
+ "dataType": "sc:Text"
252
+ }
253
+ ]
254
+ },
255
+ {
256
+ "@type": "cr:RecordSet",
257
+ "@id": "meta-analysis-records",
258
+ "name": "meta-analysis",
259
+ "description": "88-paper extraction with thread, domain, scale, metric type, BCCT regime inference, and one-line key finding.",
260
+ "field": [
261
+ {
262
+ "@type": "cr:Field",
263
+ "@id": "meta-analysis-records/cite_key",
264
+ "name": "cite_key",
265
+ "dataType": "sc:Text",
266
+ "source": {
267
+ "fileObject": {"@id": "meta-analysis-csv"},
268
+ "extract": {"column": "cite_key"}
269
+ }
270
+ },
271
+ {
272
+ "@type": "cr:Field",
273
+ "@id": "meta-analysis-records/short_name",
274
+ "name": "short_name",
275
+ "dataType": "sc:Text"
276
+ },
277
+ {
278
+ "@type": "cr:Field",
279
+ "@id": "meta-analysis-records/year",
280
+ "name": "year",
281
+ "dataType": "sc:Integer"
282
+ },
283
+ {
284
+ "@type": "cr:Field",
285
+ "@id": "meta-analysis-records/thread",
286
+ "name": "thread",
287
+ "description": "One of {convergence, transport, latent_design, theory}.",
288
+ "dataType": "sc:Text"
289
+ },
290
+ {
291
+ "@type": "cr:Field",
292
+ "@id": "meta-analysis-records/domain",
293
+ "name": "domain",
294
+ "dataType": "sc:Text"
295
+ },
296
+ {
297
+ "@type": "cr:Field",
298
+ "@id": "meta-analysis-records/metric_type",
299
+ "name": "metric_type",
300
+ "dataType": "sc:Text"
301
+ },
302
+ {
303
+ "@type": "cr:Field",
304
+ "@id": "meta-analysis-records/bcct_regime",
305
+ "name": "bcct_regime",
306
+ "description": "Inferred BCCT regime; 'N/A' when reported evidence is insufficient.",
307
+ "dataType": "sc:Text"
308
+ },
309
+ {
310
+ "@type": "cr:Field",
311
+ "@id": "meta-analysis-records/key_finding",
312
+ "name": "key_finding",
313
+ "dataType": "sc:Text"
314
+ }
315
+ ]
316
+ }
317
+ ]
318
+ }
data/experiments/bitrate_experiment.json ADDED
@@ -0,0 +1,1268 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment": "Track B: Bitrate Sweep",
3
+ "config": {
4
+ "k": 10,
5
+ "n_permutations": 100,
6
+ "seed": 42,
7
+ "device": "cuda:2",
8
+ "n_pairs": 8
9
+ },
10
+ "results": [
11
+ {
12
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
13
+ "model_a": "dinov2_vitb14",
14
+ "model_b": "dinov2_vitl14",
15
+ "bitrate_sweep": {
16
+ "model_name": "dinov2_vitb14",
17
+ "reference_name": "dinov2_vitl14",
18
+ "compression_method": "rank_reduction",
19
+ "points": [
20
+ {
21
+ "level": 1.0,
22
+ "bitrate": 8.6006,
23
+ "s_local": 0.5138,
24
+ "tau": 0.4052,
25
+ "downstream_acc": null
26
+ },
27
+ {
28
+ "level": 0.75,
29
+ "bitrate": 8.3796,
30
+ "s_local": 0.514,
31
+ "tau": 0.4617,
32
+ "downstream_acc": null
33
+ },
34
+ {
35
+ "level": 0.5,
36
+ "bitrate": 7.9645,
37
+ "s_local": 0.5134,
38
+ "tau": 0.5698,
39
+ "downstream_acc": null
40
+ },
41
+ {
42
+ "level": 0.25,
43
+ "bitrate": 7.1548,
44
+ "s_local": 0.5,
45
+ "tau": 0.6972,
46
+ "downstream_acc": null
47
+ },
48
+ {
49
+ "level": 0.125,
50
+ "bitrate": 6.2893,
51
+ "s_local": 0.4605,
52
+ "tau": 0.6736,
53
+ "downstream_acc": null
54
+ },
55
+ {
56
+ "level": 0.0625,
57
+ "bitrate": 5.369,
58
+ "s_local": 0.4044,
59
+ "tau": 0.5303,
60
+ "downstream_acc": null
61
+ }
62
+ ]
63
+ },
64
+ "bitrate_sweep_reverse": {
65
+ "model_name": "dinov2_vitl14",
66
+ "reference_name": "dinov2_vitb14",
67
+ "compression_method": "rank_reduction",
68
+ "points": [
69
+ {
70
+ "level": 1.0,
71
+ "bitrate": 8.9635,
72
+ "s_local": 0.5138,
73
+ "tau": 0.8042,
74
+ "downstream_acc": null
75
+ },
76
+ {
77
+ "level": 0.75,
78
+ "bitrate": 8.7532,
79
+ "s_local": 0.5135,
80
+ "tau": 0.4444,
81
+ "downstream_acc": null
82
+ },
83
+ {
84
+ "level": 0.5,
85
+ "bitrate": 8.3523,
86
+ "s_local": 0.5113,
87
+ "tau": 0.5611,
88
+ "downstream_acc": null
89
+ },
90
+ {
91
+ "level": 0.25,
92
+ "bitrate": 7.5638,
93
+ "s_local": 0.4959,
94
+ "tau": 0.7339,
95
+ "downstream_acc": null
96
+ },
97
+ {
98
+ "level": 0.125,
99
+ "bitrate": 6.7283,
100
+ "s_local": 0.4621,
101
+ "tau": 0.7706,
102
+ "downstream_acc": null
103
+ },
104
+ {
105
+ "level": 0.0625,
106
+ "bitrate": 5.8327,
107
+ "s_local": 0.4146,
108
+ "tau": 0.6721,
109
+ "downstream_acc": null
110
+ }
111
+ ]
112
+ },
113
+ "neighborhood_alignment": {
114
+ "s_local": 0.5137,
115
+ "s_global": 0.6823,
116
+ "lambda_val": 0.7529,
117
+ "raw_overlap": 0.5147,
118
+ "null_mean": 0.002,
119
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
120
+ },
121
+ "transport_stress_test": {
122
+ "model_a_name": "dinov2_vitb14",
123
+ "model_b_name": "dinov2_vitl14",
124
+ "points": [
125
+ {
126
+ "delta": 0.3626,
127
+ "tau_a_to_b": 0.4052,
128
+ "tau_b_to_a": 0.8065,
129
+ "tai": 0.0316,
130
+ "compression_level": 1.0,
131
+ "regime": "Local-Only"
132
+ },
133
+ {
134
+ "delta": 0.5836,
135
+ "tau_a_to_b": 0.4617,
136
+ "tau_b_to_a": 0.6979,
137
+ "tai": 0.0396,
138
+ "compression_level": 0.75,
139
+ "regime": "Local-Only"
140
+ },
141
+ {
142
+ "delta": 0.9987,
143
+ "tau_a_to_b": 0.5698,
144
+ "tau_b_to_a": 0.4617,
145
+ "tai": 0.0925,
146
+ "compression_level": 0.5,
147
+ "regime": "Convergent"
148
+ },
149
+ {
150
+ "delta": 1.8084,
151
+ "tau_a_to_b": 0.6972,
152
+ "tau_b_to_a": 0.1555,
153
+ "tai": 0.363,
154
+ "compression_level": 0.25,
155
+ "regime": "Convergent"
156
+ },
157
+ {
158
+ "delta": 2.6739,
159
+ "tau_a_to_b": 0.6736,
160
+ "tau_b_to_a": 0.0368,
161
+ "tai": 0.4956,
162
+ "compression_level": 0.125,
163
+ "regime": "Convergent"
164
+ }
165
+ ]
166
+ }
167
+ },
168
+ {
169
+ "pair": "resnet50 <-> resnet101",
170
+ "model_a": "resnet50",
171
+ "model_b": "resnet101",
172
+ "bitrate_sweep": {
173
+ "model_name": "resnet50",
174
+ "reference_name": "resnet101",
175
+ "compression_method": "rank_reduction",
176
+ "points": [
177
+ {
178
+ "level": 1.0,
179
+ "bitrate": 8.1057,
180
+ "s_local": 0.3194,
181
+ "tau": 1.0,
182
+ "downstream_acc": null
183
+ },
184
+ {
185
+ "level": 0.75,
186
+ "bitrate": 8.0462,
187
+ "s_local": 0.3197,
188
+ "tau": 1.0,
189
+ "downstream_acc": null
190
+ },
191
+ {
192
+ "level": 0.5,
193
+ "bitrate": 7.8477,
194
+ "s_local": 0.3198,
195
+ "tau": 1.0,
196
+ "downstream_acc": null
197
+ },
198
+ {
199
+ "level": 0.25,
200
+ "bitrate": 7.3236,
201
+ "s_local": 0.3202,
202
+ "tau": 0.9843,
203
+ "downstream_acc": null
204
+ },
205
+ {
206
+ "level": 0.125,
207
+ "bitrate": 6.6871,
208
+ "s_local": 0.317,
209
+ "tau": 1.0,
210
+ "downstream_acc": null
211
+ },
212
+ {
213
+ "level": 0.0625,
214
+ "bitrate": 5.9988,
215
+ "s_local": 0.3037,
216
+ "tau": 0.9888,
217
+ "downstream_acc": null
218
+ }
219
+ ]
220
+ },
221
+ "bitrate_sweep_reverse": {
222
+ "model_name": "resnet101",
223
+ "reference_name": "resnet50",
224
+ "compression_method": "rank_reduction",
225
+ "points": [
226
+ {
227
+ "level": 1.0,
228
+ "bitrate": 8.5948,
229
+ "s_local": 0.3195,
230
+ "tau": 0.5431,
231
+ "downstream_acc": null
232
+ },
233
+ {
234
+ "level": 0.75,
235
+ "bitrate": 8.5094,
236
+ "s_local": 0.3195,
237
+ "tau": 0.6069,
238
+ "downstream_acc": null
239
+ },
240
+ {
241
+ "level": 0.5,
242
+ "bitrate": 8.2593,
243
+ "s_local": 0.3193,
244
+ "tau": 0.572,
245
+ "downstream_acc": null
246
+ },
247
+ {
248
+ "level": 0.25,
249
+ "bitrate": 7.6568,
250
+ "s_local": 0.3177,
251
+ "tau": 0.4741,
252
+ "downstream_acc": null
253
+ },
254
+ {
255
+ "level": 0.125,
256
+ "bitrate": 6.9564,
257
+ "s_local": 0.3111,
258
+ "tau": 0.5595,
259
+ "downstream_acc": null
260
+ },
261
+ {
262
+ "level": 0.0625,
263
+ "bitrate": 6.2038,
264
+ "s_local": 0.2986,
265
+ "tau": 0.7375,
266
+ "downstream_acc": null
267
+ }
268
+ ]
269
+ },
270
+ "neighborhood_alignment": {
271
+ "s_local": 0.3195,
272
+ "s_global": 0.7468,
273
+ "lambda_val": 0.4278,
274
+ "raw_overlap": 0.3208,
275
+ "null_mean": 0.002,
276
+ "interpretation": "Inflated: CKA confounded by scale; local alignment not significant."
277
+ },
278
+ "transport_stress_test": {
279
+ "model_a_name": "resnet50",
280
+ "model_b_name": "resnet101",
281
+ "points": [
282
+ {
283
+ "delta": 0.4883,
284
+ "tau_a_to_b": 1.0,
285
+ "tau_b_to_a": 0.5428,
286
+ "tai": 0.2349,
287
+ "compression_level": 1.0,
288
+ "regime": "Convergent"
289
+ },
290
+ {
291
+ "delta": 0.5478,
292
+ "tau_a_to_b": 1.0,
293
+ "tau_b_to_a": 0.4954,
294
+ "tai": 0.3537,
295
+ "compression_level": 0.75,
296
+ "regime": "Convergent"
297
+ },
298
+ {
299
+ "delta": 0.7463,
300
+ "tau_a_to_b": 1.0,
301
+ "tau_b_to_a": 0.3523,
302
+ "tai": 0.4586,
303
+ "compression_level": 0.5,
304
+ "regime": "Convergent"
305
+ },
306
+ {
307
+ "delta": 1.2704,
308
+ "tau_a_to_b": 0.9843,
309
+ "tau_b_to_a": 0.1682,
310
+ "tai": 0.5393,
311
+ "compression_level": 0.25,
312
+ "regime": "Convergent"
313
+ },
314
+ {
315
+ "delta": 1.9069,
316
+ "tau_a_to_b": 1.0,
317
+ "tau_b_to_a": 0.1058,
318
+ "tai": 0.5916,
319
+ "compression_level": 0.125,
320
+ "regime": "Convergent"
321
+ }
322
+ ]
323
+ }
324
+ },
325
+ {
326
+ "pair": "clip_vitb16 <-> clip_vitl14",
327
+ "model_a": "clip_vitb16",
328
+ "model_b": "clip_vitl14",
329
+ "bitrate_sweep": {
330
+ "model_name": "clip_vitb16",
331
+ "reference_name": "clip_vitl14",
332
+ "compression_method": "rank_reduction",
333
+ "points": [
334
+ {
335
+ "level": 1.0,
336
+ "bitrate": 6.8409,
337
+ "s_local": 0.2907,
338
+ "tau": 0.9405,
339
+ "downstream_acc": null
340
+ },
341
+ {
342
+ "level": 0.75,
343
+ "bitrate": 6.7647,
344
+ "s_local": 0.2908,
345
+ "tau": 0.9339,
346
+ "downstream_acc": null
347
+ },
348
+ {
349
+ "level": 0.5,
350
+ "bitrate": 6.5247,
351
+ "s_local": 0.292,
352
+ "tau": 0.9253,
353
+ "downstream_acc": null
354
+ },
355
+ {
356
+ "level": 0.25,
357
+ "bitrate": 5.9455,
358
+ "s_local": 0.2848,
359
+ "tau": 0.8964,
360
+ "downstream_acc": null
361
+ },
362
+ {
363
+ "level": 0.125,
364
+ "bitrate": 5.242,
365
+ "s_local": 0.2632,
366
+ "tau": 0.8118,
367
+ "downstream_acc": null
368
+ },
369
+ {
370
+ "level": 0.0625,
371
+ "bitrate": 4.459,
372
+ "s_local": 0.2208,
373
+ "tau": 0.7091,
374
+ "downstream_acc": null
375
+ }
376
+ ]
377
+ },
378
+ "bitrate_sweep_reverse": {
379
+ "model_name": "clip_vitl14",
380
+ "reference_name": "clip_vitb16",
381
+ "compression_method": "rank_reduction",
382
+ "points": [
383
+ {
384
+ "level": 1.0,
385
+ "bitrate": 7.4424,
386
+ "s_local": 0.2907,
387
+ "tau": 0.4683,
388
+ "downstream_acc": null
389
+ },
390
+ {
391
+ "level": 0.75,
392
+ "bitrate": 7.4123,
393
+ "s_local": 0.2908,
394
+ "tau": 0.4427,
395
+ "downstream_acc": null
396
+ },
397
+ {
398
+ "level": 0.5,
399
+ "bitrate": 7.1609,
400
+ "s_local": 0.2909,
401
+ "tau": 0.4617,
402
+ "downstream_acc": null
403
+ },
404
+ {
405
+ "level": 0.25,
406
+ "bitrate": 6.5562,
407
+ "s_local": 0.2884,
408
+ "tau": 0.6475,
409
+ "downstream_acc": null
410
+ },
411
+ {
412
+ "level": 0.125,
413
+ "bitrate": 5.8432,
414
+ "s_local": 0.2762,
415
+ "tau": 0.7375,
416
+ "downstream_acc": null
417
+ },
418
+ {
419
+ "level": 0.0625,
420
+ "bitrate": 5.0513,
421
+ "s_local": 0.2477,
422
+ "tau": 0.7059,
423
+ "downstream_acc": null
424
+ }
425
+ ]
426
+ },
427
+ "neighborhood_alignment": {
428
+ "s_local": 0.2907,
429
+ "s_global": 0.7183,
430
+ "lambda_val": 0.4047,
431
+ "raw_overlap": 0.2921,
432
+ "null_mean": 0.002,
433
+ "interpretation": "Inflated: CKA confounded by scale; local alignment not significant."
434
+ },
435
+ "transport_stress_test": {
436
+ "model_a_name": "clip_vitb16",
437
+ "model_b_name": "clip_vitl14",
438
+ "points": [
439
+ {
440
+ "delta": 0.6011,
441
+ "tau_a_to_b": 0.9405,
442
+ "tau_b_to_a": 0.4698,
443
+ "tai": 0.0695,
444
+ "compression_level": 1.0,
445
+ "regime": "Convergent"
446
+ },
447
+ {
448
+ "delta": 0.6774,
449
+ "tau_a_to_b": 0.9339,
450
+ "tau_b_to_a": 0.5356,
451
+ "tai": 0.0607,
452
+ "compression_level": 0.75,
453
+ "regime": "Convergent"
454
+ },
455
+ {
456
+ "delta": 0.9174,
457
+ "tau_a_to_b": 0.9253,
458
+ "tau_b_to_a": 0.5265,
459
+ "tai": 0.0815,
460
+ "compression_level": 0.5,
461
+ "regime": "Convergent"
462
+ },
463
+ {
464
+ "delta": 1.4965,
465
+ "tau_a_to_b": 0.8964,
466
+ "tau_b_to_a": 0.3365,
467
+ "tai": 0.2044,
468
+ "compression_level": 0.25,
469
+ "regime": "Convergent"
470
+ },
471
+ {
472
+ "delta": 2.2001,
473
+ "tau_a_to_b": 0.8118,
474
+ "tau_b_to_a": 0.1519,
475
+ "tai": 0.3311,
476
+ "compression_level": 0.125,
477
+ "regime": "Convergent"
478
+ }
479
+ ]
480
+ }
481
+ },
482
+ {
483
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
484
+ "model_a": "dinov2_vitl14",
485
+ "model_b": "beit_large_patch16_224",
486
+ "bitrate_sweep": {
487
+ "model_name": "dinov2_vitl14",
488
+ "reference_name": "beit_large_patch16_224",
489
+ "compression_method": "rank_reduction",
490
+ "points": [
491
+ {
492
+ "level": 1.0,
493
+ "bitrate": 8.9635,
494
+ "s_local": 0.0723,
495
+ "tau": 0.088,
496
+ "downstream_acc": null
497
+ },
498
+ {
499
+ "level": 0.75,
500
+ "bitrate": 8.7532,
501
+ "s_local": 0.0724,
502
+ "tau": 0.1048,
503
+ "downstream_acc": null
504
+ },
505
+ {
506
+ "level": 0.5,
507
+ "bitrate": 8.3523,
508
+ "s_local": 0.0724,
509
+ "tau": 0.0545,
510
+ "downstream_acc": null
511
+ },
512
+ {
513
+ "level": 0.25,
514
+ "bitrate": 7.5638,
515
+ "s_local": 0.0724,
516
+ "tau": 0.029,
517
+ "downstream_acc": null
518
+ },
519
+ {
520
+ "level": 0.125,
521
+ "bitrate": 6.7283,
522
+ "s_local": 0.0715,
523
+ "tau": 0.0401,
524
+ "downstream_acc": null
525
+ },
526
+ {
527
+ "level": 0.0625,
528
+ "bitrate": 5.8327,
529
+ "s_local": 0.0683,
530
+ "tau": 0.0784,
531
+ "downstream_acc": null
532
+ }
533
+ ]
534
+ },
535
+ "bitrate_sweep_reverse": {
536
+ "model_name": "beit_large_patch16_224",
537
+ "reference_name": "dinov2_vitl14",
538
+ "compression_method": "rank_reduction",
539
+ "points": [
540
+ {
541
+ "level": 1.0,
542
+ "bitrate": 6.5552,
543
+ "s_local": 0.0723,
544
+ "tau": 0.0173,
545
+ "downstream_acc": null
546
+ },
547
+ {
548
+ "level": 0.75,
549
+ "bitrate": 6.462,
550
+ "s_local": 0.0725,
551
+ "tau": 0.0356,
552
+ "downstream_acc": null
553
+ },
554
+ {
555
+ "level": 0.5,
556
+ "bitrate": 6.2432,
557
+ "s_local": 0.073,
558
+ "tau": 0.0283,
559
+ "downstream_acc": null
560
+ },
561
+ {
562
+ "level": 0.25,
563
+ "bitrate": 5.7448,
564
+ "s_local": 0.0731,
565
+ "tau": 0.0323,
566
+ "downstream_acc": null
567
+ },
568
+ {
569
+ "level": 0.125,
570
+ "bitrate": 5.168,
571
+ "s_local": 0.0696,
572
+ "tau": 0.0342,
573
+ "downstream_acc": null
574
+ },
575
+ {
576
+ "level": 0.0625,
577
+ "bitrate": 4.5391,
578
+ "s_local": 0.0626,
579
+ "tau": 0.0227,
580
+ "downstream_acc": null
581
+ }
582
+ ]
583
+ },
584
+ "neighborhood_alignment": {
585
+ "s_local": 0.0723,
586
+ "s_global": 0.1615,
587
+ "lambda_val": 0.4474,
588
+ "raw_overlap": 0.0741,
589
+ "null_mean": 0.002,
590
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
591
+ },
592
+ "transport_stress_test": {
593
+ "model_a_name": "dinov2_vitl14",
594
+ "model_b_name": "beit_large_patch16_224",
595
+ "points": [
596
+ {
597
+ "delta": 2.4089,
598
+ "tau_a_to_b": 0.088,
599
+ "tau_b_to_a": 0.0176,
600
+ "tai": 0.9228,
601
+ "compression_level": 1.0,
602
+ "regime": "Local-Only"
603
+ },
604
+ {
605
+ "delta": 2.1986,
606
+ "tau_a_to_b": 0.1048,
607
+ "tau_b_to_a": 0.0571,
608
+ "tai": 0.9106,
609
+ "compression_level": 0.75,
610
+ "regime": "Local-Only"
611
+ },
612
+ {
613
+ "delta": 1.7977,
614
+ "tau_a_to_b": 0.0545,
615
+ "tau_b_to_a": 0.0,
616
+ "tai": 0.9482,
617
+ "compression_level": 0.5,
618
+ "regime": "Local-Only"
619
+ },
620
+ {
621
+ "delta": 1.0092,
622
+ "tau_a_to_b": 0.029,
623
+ "tau_b_to_a": 0.0,
624
+ "tai": 0.9729,
625
+ "compression_level": 0.25,
626
+ "regime": "Local-Only"
627
+ },
628
+ {
629
+ "delta": 0.1737,
630
+ "tau_a_to_b": 0.0401,
631
+ "tau_b_to_a": 0.0011,
632
+ "tai": 0.9493,
633
+ "compression_level": 0.125,
634
+ "regime": "Local-Only"
635
+ }
636
+ ]
637
+ }
638
+ },
639
+ {
640
+ "pair": "vit_base_patch16_224 <-> resnet50",
641
+ "model_a": "vit_base_patch16_224",
642
+ "model_b": "resnet50",
643
+ "bitrate_sweep": {
644
+ "model_name": "vit_base_patch16_224",
645
+ "reference_name": "resnet50",
646
+ "compression_method": "rank_reduction",
647
+ "points": [
648
+ {
649
+ "level": 1.0,
650
+ "bitrate": 7.7697,
651
+ "s_local": 0.2137,
652
+ "tau": 0.2532,
653
+ "downstream_acc": null
654
+ },
655
+ {
656
+ "level": 0.75,
657
+ "bitrate": 7.6488,
658
+ "s_local": 0.2137,
659
+ "tau": 0.2471,
660
+ "downstream_acc": null
661
+ },
662
+ {
663
+ "level": 0.5,
664
+ "bitrate": 7.3755,
665
+ "s_local": 0.2143,
666
+ "tau": 0.2272,
667
+ "downstream_acc": null
668
+ },
669
+ {
670
+ "level": 0.25,
671
+ "bitrate": 6.717,
672
+ "s_local": 0.2123,
673
+ "tau": 0.253,
674
+ "downstream_acc": null
675
+ },
676
+ {
677
+ "level": 0.125,
678
+ "bitrate": 5.931,
679
+ "s_local": 0.2023,
680
+ "tau": 0.4112,
681
+ "downstream_acc": null
682
+ },
683
+ {
684
+ "level": 0.0625,
685
+ "bitrate": 5.0835,
686
+ "s_local": 0.185,
687
+ "tau": 0.5903,
688
+ "downstream_acc": null
689
+ }
690
+ ]
691
+ },
692
+ "bitrate_sweep_reverse": {
693
+ "model_name": "resnet50",
694
+ "reference_name": "vit_base_patch16_224",
695
+ "compression_method": "rank_reduction",
696
+ "points": [
697
+ {
698
+ "level": 1.0,
699
+ "bitrate": 8.1057,
700
+ "s_local": 0.2137,
701
+ "tau": 1.0,
702
+ "downstream_acc": null
703
+ },
704
+ {
705
+ "level": 0.75,
706
+ "bitrate": 8.0462,
707
+ "s_local": 0.2137,
708
+ "tau": 1.0,
709
+ "downstream_acc": null
710
+ },
711
+ {
712
+ "level": 0.5,
713
+ "bitrate": 7.8477,
714
+ "s_local": 0.2137,
715
+ "tau": 1.0,
716
+ "downstream_acc": null
717
+ },
718
+ {
719
+ "level": 0.25,
720
+ "bitrate": 7.3236,
721
+ "s_local": 0.214,
722
+ "tau": 0.9894,
723
+ "downstream_acc": null
724
+ },
725
+ {
726
+ "level": 0.125,
727
+ "bitrate": 6.6871,
728
+ "s_local": 0.212,
729
+ "tau": 0.8648,
730
+ "downstream_acc": null
731
+ },
732
+ {
733
+ "level": 0.0625,
734
+ "bitrate": 5.9988,
735
+ "s_local": 0.2044,
736
+ "tau": 0.8236,
737
+ "downstream_acc": null
738
+ }
739
+ ]
740
+ },
741
+ "neighborhood_alignment": {
742
+ "s_local": 0.2137,
743
+ "s_global": 0.6391,
744
+ "lambda_val": 0.3344,
745
+ "raw_overlap": 0.2153,
746
+ "null_mean": 0.002,
747
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
748
+ },
749
+ "transport_stress_test": {
750
+ "model_a_name": "vit_base_patch16_224",
751
+ "model_b_name": "resnet50",
752
+ "points": [
753
+ {
754
+ "delta": 0.3352,
755
+ "tau_a_to_b": 0.2532,
756
+ "tau_b_to_a": 1.0,
757
+ "tai": 0.3908,
758
+ "compression_level": 1.0,
759
+ "regime": "Local-Only"
760
+ },
761
+ {
762
+ "delta": 0.4561,
763
+ "tau_a_to_b": 0.2471,
764
+ "tau_b_to_a": 1.0,
765
+ "tai": 0.3477,
766
+ "compression_level": 0.75,
767
+ "regime": "Local-Only"
768
+ },
769
+ {
770
+ "delta": 0.7294,
771
+ "tau_a_to_b": 0.2272,
772
+ "tau_b_to_a": 1.0,
773
+ "tai": 0.1489,
774
+ "compression_level": 0.5,
775
+ "regime": "Local-Only"
776
+ },
777
+ {
778
+ "delta": 1.3879,
779
+ "tau_a_to_b": 0.253,
780
+ "tau_b_to_a": 0.6614,
781
+ "tai": 0.4305,
782
+ "compression_level": 0.25,
783
+ "regime": "Local-Only"
784
+ },
785
+ {
786
+ "delta": 2.1739,
787
+ "tau_a_to_b": 0.4112,
788
+ "tau_b_to_a": 0.2241,
789
+ "tai": 0.6517,
790
+ "compression_level": 0.125,
791
+ "regime": "Local-Only"
792
+ }
793
+ ]
794
+ }
795
+ },
796
+ {
797
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
798
+ "model_a": "dinov2_vitb14",
799
+ "model_b": "clip_vitb16",
800
+ "bitrate_sweep": {
801
+ "model_name": "dinov2_vitb14",
802
+ "reference_name": "clip_vitb16",
803
+ "compression_method": "rank_reduction",
804
+ "points": [
805
+ {
806
+ "level": 1.0,
807
+ "bitrate": 8.6006,
808
+ "s_local": 0.2241,
809
+ "tau": 0.0448,
810
+ "downstream_acc": null
811
+ },
812
+ {
813
+ "level": 0.75,
814
+ "bitrate": 8.3796,
815
+ "s_local": 0.2245,
816
+ "tau": 0.0351,
817
+ "downstream_acc": null
818
+ },
819
+ {
820
+ "level": 0.5,
821
+ "bitrate": 7.9645,
822
+ "s_local": 0.2241,
823
+ "tau": 0.0262,
824
+ "downstream_acc": null
825
+ },
826
+ {
827
+ "level": 0.25,
828
+ "bitrate": 7.1548,
829
+ "s_local": 0.222,
830
+ "tau": 0.0227,
831
+ "downstream_acc": null
832
+ },
833
+ {
834
+ "level": 0.125,
835
+ "bitrate": 6.2893,
836
+ "s_local": 0.2127,
837
+ "tau": 0.0268,
838
+ "downstream_acc": null
839
+ },
840
+ {
841
+ "level": 0.0625,
842
+ "bitrate": 5.369,
843
+ "s_local": 0.202,
844
+ "tau": 0.0388,
845
+ "downstream_acc": null
846
+ }
847
+ ]
848
+ },
849
+ "bitrate_sweep_reverse": {
850
+ "model_name": "clip_vitb16",
851
+ "reference_name": "dinov2_vitb14",
852
+ "compression_method": "rank_reduction",
853
+ "points": [
854
+ {
855
+ "level": 1.0,
856
+ "bitrate": 6.8409,
857
+ "s_local": 0.224,
858
+ "tau": 1.0,
859
+ "downstream_acc": null
860
+ },
861
+ {
862
+ "level": 0.75,
863
+ "bitrate": 6.7647,
864
+ "s_local": 0.2242,
865
+ "tau": 1.0,
866
+ "downstream_acc": null
867
+ },
868
+ {
869
+ "level": 0.5,
870
+ "bitrate": 6.5247,
871
+ "s_local": 0.2244,
872
+ "tau": 1.0,
873
+ "downstream_acc": null
874
+ },
875
+ {
876
+ "level": 0.25,
877
+ "bitrate": 5.9455,
878
+ "s_local": 0.2212,
879
+ "tau": 0.8323,
880
+ "downstream_acc": null
881
+ },
882
+ {
883
+ "level": 0.125,
884
+ "bitrate": 5.242,
885
+ "s_local": 0.2052,
886
+ "tau": 0.6559,
887
+ "downstream_acc": null
888
+ },
889
+ {
890
+ "level": 0.0625,
891
+ "bitrate": 4.459,
892
+ "s_local": 0.1688,
893
+ "tau": 0.528,
894
+ "downstream_acc": null
895
+ }
896
+ ]
897
+ },
898
+ "neighborhood_alignment": {
899
+ "s_local": 0.2241,
900
+ "s_global": 0.4886,
901
+ "lambda_val": 0.4587,
902
+ "raw_overlap": 0.2256,
903
+ "null_mean": 0.0019,
904
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
905
+ },
906
+ "transport_stress_test": {
907
+ "model_a_name": "dinov2_vitb14",
908
+ "model_b_name": "clip_vitb16",
909
+ "points": [
910
+ {
911
+ "delta": 1.7598,
912
+ "tau_a_to_b": 0.0448,
913
+ "tau_b_to_a": 1.0,
914
+ "tai": 0.3956,
915
+ "compression_level": 1.0,
916
+ "regime": "Local-Only"
917
+ },
918
+ {
919
+ "delta": 1.5388,
920
+ "tau_a_to_b": 0.0351,
921
+ "tau_b_to_a": 1.0,
922
+ "tai": 0.417,
923
+ "compression_level": 0.75,
924
+ "regime": "Local-Only"
925
+ },
926
+ {
927
+ "delta": 1.1237,
928
+ "tau_a_to_b": 0.0262,
929
+ "tau_b_to_a": 1.0,
930
+ "tai": 0.3577,
931
+ "compression_level": 0.5,
932
+ "regime": "Local-Only"
933
+ },
934
+ {
935
+ "delta": 0.3139,
936
+ "tau_a_to_b": 0.0227,
937
+ "tau_b_to_a": 0.8184,
938
+ "tai": 0.064,
939
+ "compression_level": 0.25,
940
+ "regime": "Local-Only"
941
+ },
942
+ {
943
+ "delta": 0.5515,
944
+ "tau_a_to_b": 0.0268,
945
+ "tau_b_to_a": 0.5208,
946
+ "tai": 0.2702,
947
+ "compression_level": 0.125,
948
+ "regime": "Local-Only"
949
+ }
950
+ ]
951
+ }
952
+ },
953
+ {
954
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
955
+ "model_a": "vit_base_patch16_224.mae",
956
+ "model_b": "vit_base_patch16_224",
957
+ "bitrate_sweep": {
958
+ "model_name": "vit_base_patch16_224.mae",
959
+ "reference_name": "vit_base_patch16_224",
960
+ "compression_method": "rank_reduction",
961
+ "points": [
962
+ {
963
+ "level": 1.0,
964
+ "bitrate": 1.6488,
965
+ "s_local": 0.0265,
966
+ "tau": 0.1959,
967
+ "downstream_acc": null
968
+ },
969
+ {
970
+ "level": 0.75,
971
+ "bitrate": 1.647,
972
+ "s_local": 0.0266,
973
+ "tau": 0.2023,
974
+ "downstream_acc": null
975
+ },
976
+ {
977
+ "level": 0.5,
978
+ "bitrate": 1.6404,
979
+ "s_local": 0.0265,
980
+ "tau": 0.2072,
981
+ "downstream_acc": null
982
+ },
983
+ {
984
+ "level": 0.25,
985
+ "bitrate": 1.617,
986
+ "s_local": 0.0265,
987
+ "tau": 0.1751,
988
+ "downstream_acc": null
989
+ },
990
+ {
991
+ "level": 0.125,
992
+ "bitrate": 1.5787,
993
+ "s_local": 0.0258,
994
+ "tau": 0.139,
995
+ "downstream_acc": null
996
+ },
997
+ {
998
+ "level": 0.0625,
999
+ "bitrate": 1.5264,
1000
+ "s_local": 0.0252,
1001
+ "tau": 0.1175,
1002
+ "downstream_acc": null
1003
+ }
1004
+ ]
1005
+ },
1006
+ "bitrate_sweep_reverse": {
1007
+ "model_name": "vit_base_patch16_224",
1008
+ "reference_name": "vit_base_patch16_224.mae",
1009
+ "compression_method": "rank_reduction",
1010
+ "points": [
1011
+ {
1012
+ "level": 1.0,
1013
+ "bitrate": 7.7697,
1014
+ "s_local": 0.0265,
1015
+ "tau": 0.0024,
1016
+ "downstream_acc": null
1017
+ },
1018
+ {
1019
+ "level": 0.75,
1020
+ "bitrate": 7.6488,
1021
+ "s_local": 0.0266,
1022
+ "tau": 0.0024,
1023
+ "downstream_acc": null
1024
+ },
1025
+ {
1026
+ "level": 0.5,
1027
+ "bitrate": 7.3755,
1028
+ "s_local": 0.0264,
1029
+ "tau": 0.0024,
1030
+ "downstream_acc": null
1031
+ },
1032
+ {
1033
+ "level": 0.25,
1034
+ "bitrate": 6.717,
1035
+ "s_local": 0.0263,
1036
+ "tau": 0.0025,
1037
+ "downstream_acc": null
1038
+ },
1039
+ {
1040
+ "level": 0.125,
1041
+ "bitrate": 5.931,
1042
+ "s_local": 0.0258,
1043
+ "tau": 0.0026,
1044
+ "downstream_acc": null
1045
+ },
1046
+ {
1047
+ "level": 0.0625,
1048
+ "bitrate": 5.0835,
1049
+ "s_local": 0.0249,
1050
+ "tau": 0.0026,
1051
+ "downstream_acc": null
1052
+ }
1053
+ ]
1054
+ },
1055
+ "neighborhood_alignment": {
1056
+ "s_local": 0.0265,
1057
+ "s_global": 0.1539,
1058
+ "lambda_val": 0.1724,
1059
+ "raw_overlap": 0.0285,
1060
+ "null_mean": 0.002,
1061
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
1062
+ },
1063
+ "transport_stress_test": {
1064
+ "model_a_name": "vit_base_patch16_224.mae",
1065
+ "model_b_name": "vit_base_patch16_224",
1066
+ "points": [
1067
+ {
1068
+ "delta": 6.1207,
1069
+ "tau_a_to_b": 0.1959,
1070
+ "tau_b_to_a": 0.0024,
1071
+ "tai": 0.663,
1072
+ "compression_level": 1.0,
1073
+ "regime": "Collapsed"
1074
+ },
1075
+ {
1076
+ "delta": 6.1225,
1077
+ "tau_a_to_b": 0.2023,
1078
+ "tau_b_to_a": 0.0023,
1079
+ "tai": 0.6768,
1080
+ "compression_level": 0.75,
1081
+ "regime": "Collapsed"
1082
+ },
1083
+ {
1084
+ "delta": 6.1291,
1085
+ "tau_a_to_b": 0.2072,
1086
+ "tau_b_to_a": 0.0023,
1087
+ "tai": 0.6874,
1088
+ "compression_level": 0.5,
1089
+ "regime": "Collapsed"
1090
+ },
1091
+ {
1092
+ "delta": 6.1525,
1093
+ "tau_a_to_b": 0.1751,
1094
+ "tau_b_to_a": 0.0022,
1095
+ "tai": 0.6629,
1096
+ "compression_level": 0.25,
1097
+ "regime": "Collapsed"
1098
+ },
1099
+ {
1100
+ "delta": 6.1908,
1101
+ "tau_a_to_b": 0.139,
1102
+ "tau_b_to_a": 0.002,
1103
+ "tai": 0.6573,
1104
+ "compression_level": 0.125,
1105
+ "regime": "Collapsed"
1106
+ }
1107
+ ]
1108
+ }
1109
+ },
1110
+ {
1111
+ "pair": "vit_base_patch16_224.mae <-> resnet101",
1112
+ "model_a": "vit_base_patch16_224.mae",
1113
+ "model_b": "resnet101",
1114
+ "bitrate_sweep": {
1115
+ "model_name": "vit_base_patch16_224.mae",
1116
+ "reference_name": "resnet101",
1117
+ "compression_method": "rank_reduction",
1118
+ "points": [
1119
+ {
1120
+ "level": 1.0,
1121
+ "bitrate": 1.6488,
1122
+ "s_local": 0.0302,
1123
+ "tau": 0.2671,
1124
+ "downstream_acc": null
1125
+ },
1126
+ {
1127
+ "level": 0.75,
1128
+ "bitrate": 1.647,
1129
+ "s_local": 0.0302,
1130
+ "tau": 0.2805,
1131
+ "downstream_acc": null
1132
+ },
1133
+ {
1134
+ "level": 0.5,
1135
+ "bitrate": 1.6404,
1136
+ "s_local": 0.0301,
1137
+ "tau": 0.2933,
1138
+ "downstream_acc": null
1139
+ },
1140
+ {
1141
+ "level": 0.25,
1142
+ "bitrate": 1.617,
1143
+ "s_local": 0.0301,
1144
+ "tau": 0.2795,
1145
+ "downstream_acc": null
1146
+ },
1147
+ {
1148
+ "level": 0.125,
1149
+ "bitrate": 1.5787,
1150
+ "s_local": 0.0296,
1151
+ "tau": 0.2593,
1152
+ "downstream_acc": null
1153
+ },
1154
+ {
1155
+ "level": 0.0625,
1156
+ "bitrate": 1.5264,
1157
+ "s_local": 0.0287,
1158
+ "tau": 0.2333,
1159
+ "downstream_acc": null
1160
+ }
1161
+ ]
1162
+ },
1163
+ "bitrate_sweep_reverse": {
1164
+ "model_name": "resnet101",
1165
+ "reference_name": "vit_base_patch16_224.mae",
1166
+ "compression_method": "rank_reduction",
1167
+ "points": [
1168
+ {
1169
+ "level": 1.0,
1170
+ "bitrate": 8.5948,
1171
+ "s_local": 0.0302,
1172
+ "tau": 0.0037,
1173
+ "downstream_acc": null
1174
+ },
1175
+ {
1176
+ "level": 0.75,
1177
+ "bitrate": 8.5094,
1178
+ "s_local": 0.0303,
1179
+ "tau": 0.0038,
1180
+ "downstream_acc": null
1181
+ },
1182
+ {
1183
+ "level": 0.5,
1184
+ "bitrate": 8.2593,
1185
+ "s_local": 0.0303,
1186
+ "tau": 0.0037,
1187
+ "downstream_acc": null
1188
+ },
1189
+ {
1190
+ "level": 0.25,
1191
+ "bitrate": 7.6568,
1192
+ "s_local": 0.0305,
1193
+ "tau": 0.0031,
1194
+ "downstream_acc": null
1195
+ },
1196
+ {
1197
+ "level": 0.125,
1198
+ "bitrate": 6.9564,
1199
+ "s_local": 0.0303,
1200
+ "tau": 0.0028,
1201
+ "downstream_acc": null
1202
+ },
1203
+ {
1204
+ "level": 0.0625,
1205
+ "bitrate": 6.2038,
1206
+ "s_local": 0.0292,
1207
+ "tau": 0.0028,
1208
+ "downstream_acc": null
1209
+ }
1210
+ ]
1211
+ },
1212
+ "neighborhood_alignment": {
1213
+ "s_local": 0.0302,
1214
+ "s_global": 0.144,
1215
+ "lambda_val": 0.2095,
1216
+ "raw_overlap": 0.0321,
1217
+ "null_mean": 0.002,
1218
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
1219
+ },
1220
+ "transport_stress_test": {
1221
+ "model_a_name": "vit_base_patch16_224.mae",
1222
+ "model_b_name": "resnet101",
1223
+ "points": [
1224
+ {
1225
+ "delta": 6.9452,
1226
+ "tau_a_to_b": 0.2671,
1227
+ "tau_b_to_a": 0.0037,
1228
+ "tai": 0.7379,
1229
+ "compression_level": 1.0,
1230
+ "regime": "Collapsed"
1231
+ },
1232
+ {
1233
+ "delta": 6.947,
1234
+ "tau_a_to_b": 0.2805,
1235
+ "tau_b_to_a": 0.0036,
1236
+ "tai": 0.7522,
1237
+ "compression_level": 0.75,
1238
+ "regime": "Collapsed"
1239
+ },
1240
+ {
1241
+ "delta": 6.9536,
1242
+ "tau_a_to_b": 0.2933,
1243
+ "tau_b_to_a": 0.0036,
1244
+ "tai": 0.7669,
1245
+ "compression_level": 0.5,
1246
+ "regime": "Collapsed"
1247
+ },
1248
+ {
1249
+ "delta": 6.977,
1250
+ "tau_a_to_b": 0.2795,
1251
+ "tau_b_to_a": 0.0033,
1252
+ "tai": 0.7818,
1253
+ "compression_level": 0.25,
1254
+ "regime": "Collapsed"
1255
+ },
1256
+ {
1257
+ "delta": 7.0153,
1258
+ "tau_a_to_b": 0.2593,
1259
+ "tau_b_to_a": 0.0029,
1260
+ "tai": 0.8087,
1261
+ "compression_level": 0.125,
1262
+ "regime": "Collapsed"
1263
+ }
1264
+ ]
1265
+ }
1266
+ }
1267
+ ]
1268
+ }
data/experiments/bitrate_experiment_full.json ADDED
@@ -0,0 +1,1268 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "experiment": "Track B: Bitrate Sweep",
3
+ "config": {
4
+ "k": 10,
5
+ "n_permutations": 50,
6
+ "seed": 42,
7
+ "device": "cuda:0",
8
+ "n_pairs": 8
9
+ },
10
+ "results": [
11
+ {
12
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
13
+ "model_a": "dinov2_vitb14",
14
+ "model_b": "dinov2_vitl14",
15
+ "bitrate_sweep": {
16
+ "model_name": "dinov2_vitb14",
17
+ "reference_name": "dinov2_vitl14",
18
+ "compression_method": "rank_reduction",
19
+ "points": [
20
+ {
21
+ "level": 1.0,
22
+ "bitrate": 9.3627,
23
+ "s_local": 0.5137,
24
+ "tau": 0.0,
25
+ "downstream_acc": null
26
+ },
27
+ {
28
+ "level": 0.75,
29
+ "bitrate": 9.0057,
30
+ "s_local": 0.514,
31
+ "tau": 0.0,
32
+ "downstream_acc": null
33
+ },
34
+ {
35
+ "level": 0.5,
36
+ "bitrate": 8.4584,
37
+ "s_local": 0.5133,
38
+ "tau": 0.0,
39
+ "downstream_acc": null
40
+ },
41
+ {
42
+ "level": 0.25,
43
+ "bitrate": 7.4962,
44
+ "s_local": 0.4999,
45
+ "tau": 0.0,
46
+ "downstream_acc": null
47
+ },
48
+ {
49
+ "level": 0.125,
50
+ "bitrate": 6.5239,
51
+ "s_local": 0.4605,
52
+ "tau": 1.0,
53
+ "downstream_acc": null
54
+ },
55
+ {
56
+ "level": 0.0625,
57
+ "bitrate": 5.5396,
58
+ "s_local": 0.4044,
59
+ "tau": 1.0,
60
+ "downstream_acc": null
61
+ }
62
+ ]
63
+ },
64
+ "bitrate_sweep_reverse": {
65
+ "model_name": "dinov2_vitl14",
66
+ "reference_name": "dinov2_vitb14",
67
+ "compression_method": "rank_reduction",
68
+ "points": [
69
+ {
70
+ "level": 1.0,
71
+ "bitrate": 9.7616,
72
+ "s_local": 0.5137,
73
+ "tau": 0.0,
74
+ "downstream_acc": null
75
+ },
76
+ {
77
+ "level": 0.75,
78
+ "bitrate": 9.4075,
79
+ "s_local": 0.5135,
80
+ "tau": 0.0,
81
+ "downstream_acc": null
82
+ },
83
+ {
84
+ "level": 0.5,
85
+ "bitrate": 8.8634,
86
+ "s_local": 0.5113,
87
+ "tau": 0.0,
88
+ "downstream_acc": null
89
+ },
90
+ {
91
+ "level": 0.25,
92
+ "bitrate": 7.905,
93
+ "s_local": 0.4959,
94
+ "tau": 1.0,
95
+ "downstream_acc": null
96
+ },
97
+ {
98
+ "level": 0.125,
99
+ "bitrate": 6.9405,
100
+ "s_local": 0.462,
101
+ "tau": 1.0,
102
+ "downstream_acc": null
103
+ },
104
+ {
105
+ "level": 0.0625,
106
+ "bitrate": 5.9646,
107
+ "s_local": 0.4146,
108
+ "tau": 1.0,
109
+ "downstream_acc": null
110
+ }
111
+ ]
112
+ },
113
+ "neighborhood_alignment": {
114
+ "s_local": 0.5137,
115
+ "s_global": 0.6823,
116
+ "lambda_val": 0.7529,
117
+ "raw_overlap": 0.5147,
118
+ "null_mean": 0.0021,
119
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
120
+ },
121
+ "transport_stress_test": {
122
+ "model_a_name": "dinov2_vitb14",
123
+ "model_b_name": "dinov2_vitl14",
124
+ "points": [
125
+ {
126
+ "delta": 0.3988,
127
+ "tau_a_to_b": 0.0,
128
+ "tau_b_to_a": 0.0,
129
+ "tai": 0.0,
130
+ "compression_level": 1.0,
131
+ "regime": "Local-Only"
132
+ },
133
+ {
134
+ "delta": 0.7558,
135
+ "tau_a_to_b": 0.0,
136
+ "tau_b_to_a": 0.0,
137
+ "tai": 0.0,
138
+ "compression_level": 0.75,
139
+ "regime": "Local-Only"
140
+ },
141
+ {
142
+ "delta": 1.3031,
143
+ "tau_a_to_b": 0.0,
144
+ "tau_b_to_a": 1.0,
145
+ "tai": 1.0,
146
+ "compression_level": 0.5,
147
+ "regime": "Local-Only"
148
+ },
149
+ {
150
+ "delta": 2.2654,
151
+ "tau_a_to_b": 0.0,
152
+ "tau_b_to_a": 0.1576,
153
+ "tai": 1.0,
154
+ "compression_level": 0.25,
155
+ "regime": "Local-Only"
156
+ },
157
+ {
158
+ "delta": 3.2377,
159
+ "tau_a_to_b": 1.0,
160
+ "tau_b_to_a": 0.0,
161
+ "tai": 0.9144,
162
+ "compression_level": 0.125,
163
+ "regime": "Convergent"
164
+ }
165
+ ]
166
+ }
167
+ },
168
+ {
169
+ "pair": "resnet50 <-> resnet101",
170
+ "model_a": "resnet50",
171
+ "model_b": "resnet101",
172
+ "bitrate_sweep": {
173
+ "model_name": "resnet50",
174
+ "reference_name": "resnet101",
175
+ "compression_method": "rank_reduction",
176
+ "points": [
177
+ {
178
+ "level": 1.0,
179
+ "bitrate": 10.363,
180
+ "s_local": 0.3194,
181
+ "tau": 1.0,
182
+ "downstream_acc": null
183
+ },
184
+ {
185
+ "level": 0.75,
186
+ "bitrate": 10.1057,
187
+ "s_local": 0.3197,
188
+ "tau": 1.0,
189
+ "downstream_acc": null
190
+ },
191
+ {
192
+ "level": 0.5,
193
+ "bitrate": 9.6217,
194
+ "s_local": 0.3198,
195
+ "tau": 0.0,
196
+ "downstream_acc": null
197
+ },
198
+ {
199
+ "level": 0.25,
200
+ "bitrate": 8.7042,
201
+ "s_local": 0.3202,
202
+ "tau": 0.0,
203
+ "downstream_acc": null
204
+ },
205
+ {
206
+ "level": 0.125,
207
+ "bitrate": 7.7545,
208
+ "s_local": 0.317,
209
+ "tau": 1.0,
210
+ "downstream_acc": null
211
+ },
212
+ {
213
+ "level": 0.0625,
214
+ "bitrate": 6.7991,
215
+ "s_local": 0.3037,
216
+ "tau": 1.0,
217
+ "downstream_acc": null
218
+ }
219
+ ]
220
+ },
221
+ "bitrate_sweep_reverse": {
222
+ "model_name": "resnet101",
223
+ "reference_name": "resnet50",
224
+ "compression_method": "rank_reduction",
225
+ "points": [
226
+ {
227
+ "level": 1.0,
228
+ "bitrate": 10.4752,
229
+ "s_local": 0.3195,
230
+ "tau": 0.1015,
231
+ "downstream_acc": null
232
+ },
233
+ {
234
+ "level": 0.75,
235
+ "bitrate": 10.1962,
236
+ "s_local": 0.3195,
237
+ "tau": 0.2651,
238
+ "downstream_acc": null
239
+ },
240
+ {
241
+ "level": 0.5,
242
+ "bitrate": 9.6932,
243
+ "s_local": 0.3193,
244
+ "tau": 1.0,
245
+ "downstream_acc": null
246
+ },
247
+ {
248
+ "level": 0.25,
249
+ "bitrate": 8.7623,
250
+ "s_local": 0.3177,
251
+ "tau": 1.0,
252
+ "downstream_acc": null
253
+ },
254
+ {
255
+ "level": 0.125,
256
+ "bitrate": 7.8079,
257
+ "s_local": 0.3111,
258
+ "tau": 1.0,
259
+ "downstream_acc": null
260
+ },
261
+ {
262
+ "level": 0.0625,
263
+ "bitrate": 6.847,
264
+ "s_local": 0.2986,
265
+ "tau": 1.0,
266
+ "downstream_acc": null
267
+ }
268
+ ]
269
+ },
270
+ "neighborhood_alignment": {
271
+ "s_local": 0.3195,
272
+ "s_global": 0.7468,
273
+ "lambda_val": 0.4278,
274
+ "raw_overlap": 0.3208,
275
+ "null_mean": 0.002,
276
+ "interpretation": "Inflated: CKA confounded by scale; local alignment not significant."
277
+ },
278
+ "transport_stress_test": {
279
+ "model_a_name": "resnet50",
280
+ "model_b_name": "resnet101",
281
+ "points": [
282
+ {
283
+ "delta": 0.112,
284
+ "tau_a_to_b": 1.0,
285
+ "tau_b_to_a": 0.1073,
286
+ "tai": 0.816,
287
+ "compression_level": 1.0,
288
+ "regime": "Convergent"
289
+ },
290
+ {
291
+ "delta": 0.3693,
292
+ "tau_a_to_b": 1.0,
293
+ "tau_b_to_a": 0.0963,
294
+ "tai": 0.9704,
295
+ "compression_level": 0.75,
296
+ "regime": "Convergent"
297
+ },
298
+ {
299
+ "delta": 0.8533,
300
+ "tau_a_to_b": 0.0,
301
+ "tau_b_to_a": 0.0778,
302
+ "tai": 1.0,
303
+ "compression_level": 0.5,
304
+ "regime": "Local-Only"
305
+ },
306
+ {
307
+ "delta": 1.7708,
308
+ "tau_a_to_b": 0.0,
309
+ "tau_b_to_a": 0.0195,
310
+ "tai": 1.0,
311
+ "compression_level": 0.25,
312
+ "regime": "Local-Only"
313
+ },
314
+ {
315
+ "delta": 2.7205,
316
+ "tau_a_to_b": 1.0,
317
+ "tau_b_to_a": 0.0,
318
+ "tai": 1.0,
319
+ "compression_level": 0.125,
320
+ "regime": "Convergent"
321
+ }
322
+ ]
323
+ }
324
+ },
325
+ {
326
+ "pair": "clip_vitb16 <-> clip_vitl14",
327
+ "model_a": "clip_vitb16",
328
+ "model_b": "clip_vitl14",
329
+ "bitrate_sweep": {
330
+ "model_name": "clip_vitb16",
331
+ "reference_name": "clip_vitl14",
332
+ "compression_method": "rank_reduction",
333
+ "points": [
334
+ {
335
+ "level": 1.0,
336
+ "bitrate": 8.4655,
337
+ "s_local": 0.2907,
338
+ "tau": 1.0,
339
+ "downstream_acc": null
340
+ },
341
+ {
342
+ "level": 0.75,
343
+ "bitrate": 8.2003,
344
+ "s_local": 0.2908,
345
+ "tau": 1.0,
346
+ "downstream_acc": null
347
+ },
348
+ {
349
+ "level": 0.5,
350
+ "bitrate": 7.7053,
351
+ "s_local": 0.292,
352
+ "tau": 1.0,
353
+ "downstream_acc": null
354
+ },
355
+ {
356
+ "level": 0.25,
357
+ "bitrate": 6.7916,
358
+ "s_local": 0.2848,
359
+ "tau": 1.0,
360
+ "downstream_acc": null
361
+ },
362
+ {
363
+ "level": 0.125,
364
+ "bitrate": 5.8464,
365
+ "s_local": 0.2632,
366
+ "tau": 1.0,
367
+ "downstream_acc": null
368
+ },
369
+ {
370
+ "level": 0.0625,
371
+ "bitrate": 4.8846,
372
+ "s_local": 0.2208,
373
+ "tau": 1.0,
374
+ "downstream_acc": null
375
+ }
376
+ ]
377
+ },
378
+ "bitrate_sweep_reverse": {
379
+ "model_name": "clip_vitl14",
380
+ "reference_name": "clip_vitb16",
381
+ "compression_method": "rank_reduction",
382
+ "points": [
383
+ {
384
+ "level": 1.0,
385
+ "bitrate": 8.9308,
386
+ "s_local": 0.2907,
387
+ "tau": 1.0,
388
+ "downstream_acc": null
389
+ },
390
+ {
391
+ "level": 0.75,
392
+ "bitrate": 8.8035,
393
+ "s_local": 0.2908,
394
+ "tau": 1.0,
395
+ "downstream_acc": null
396
+ },
397
+ {
398
+ "level": 0.5,
399
+ "bitrate": 8.305,
400
+ "s_local": 0.2909,
401
+ "tau": 1.0,
402
+ "downstream_acc": null
403
+ },
404
+ {
405
+ "level": 0.25,
406
+ "bitrate": 7.3828,
407
+ "s_local": 0.2884,
408
+ "tau": 1.0,
409
+ "downstream_acc": null
410
+ },
411
+ {
412
+ "level": 0.125,
413
+ "bitrate": 6.4354,
414
+ "s_local": 0.2762,
415
+ "tau": 1.0,
416
+ "downstream_acc": null
417
+ },
418
+ {
419
+ "level": 0.0625,
420
+ "bitrate": 5.4714,
421
+ "s_local": 0.2477,
422
+ "tau": 1.0,
423
+ "downstream_acc": null
424
+ }
425
+ ]
426
+ },
427
+ "neighborhood_alignment": {
428
+ "s_local": 0.2907,
429
+ "s_global": 0.7183,
430
+ "lambda_val": 0.4047,
431
+ "raw_overlap": 0.2921,
432
+ "null_mean": 0.002,
433
+ "interpretation": "Inflated: CKA confounded by scale; local alignment not significant."
434
+ },
435
+ "transport_stress_test": {
436
+ "model_a_name": "clip_vitb16",
437
+ "model_b_name": "clip_vitl14",
438
+ "points": [
439
+ {
440
+ "delta": 0.4651,
441
+ "tau_a_to_b": 1.0,
442
+ "tau_b_to_a": 1.0,
443
+ "tai": 0.3987,
444
+ "compression_level": 1.0,
445
+ "regime": "Convergent"
446
+ },
447
+ {
448
+ "delta": 0.7304,
449
+ "tau_a_to_b": 1.0,
450
+ "tau_b_to_a": 1.0,
451
+ "tai": 0.4038,
452
+ "compression_level": 0.75,
453
+ "regime": "Convergent"
454
+ },
455
+ {
456
+ "delta": 1.2254,
457
+ "tau_a_to_b": 1.0,
458
+ "tau_b_to_a": 1.0,
459
+ "tai": 0.3837,
460
+ "compression_level": 0.5,
461
+ "regime": "Convergent"
462
+ },
463
+ {
464
+ "delta": 2.1391,
465
+ "tau_a_to_b": 1.0,
466
+ "tau_b_to_a": 0.902,
467
+ "tai": 0.4938,
468
+ "compression_level": 0.25,
469
+ "regime": "Convergent"
470
+ },
471
+ {
472
+ "delta": 3.0843,
473
+ "tau_a_to_b": 1.0,
474
+ "tau_b_to_a": 0.3763,
475
+ "tai": 0.5487,
476
+ "compression_level": 0.125,
477
+ "regime": "Convergent"
478
+ }
479
+ ]
480
+ }
481
+ },
482
+ {
483
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
484
+ "model_a": "dinov2_vitl14",
485
+ "model_b": "beit_large_patch16_224",
486
+ "bitrate_sweep": {
487
+ "model_name": "dinov2_vitl14",
488
+ "reference_name": "beit_large_patch16_224",
489
+ "compression_method": "rank_reduction",
490
+ "points": [
491
+ {
492
+ "level": 1.0,
493
+ "bitrate": 9.7616,
494
+ "s_local": 0.0722,
495
+ "tau": 0.0,
496
+ "downstream_acc": null
497
+ },
498
+ {
499
+ "level": 0.75,
500
+ "bitrate": 9.4075,
501
+ "s_local": 0.0724,
502
+ "tau": 0.0,
503
+ "downstream_acc": null
504
+ },
505
+ {
506
+ "level": 0.5,
507
+ "bitrate": 8.8634,
508
+ "s_local": 0.0724,
509
+ "tau": 0.0,
510
+ "downstream_acc": null
511
+ },
512
+ {
513
+ "level": 0.25,
514
+ "bitrate": 7.905,
515
+ "s_local": 0.0724,
516
+ "tau": 0.0,
517
+ "downstream_acc": null
518
+ },
519
+ {
520
+ "level": 0.125,
521
+ "bitrate": 6.9405,
522
+ "s_local": 0.0715,
523
+ "tau": 0.0,
524
+ "downstream_acc": null
525
+ },
526
+ {
527
+ "level": 0.0625,
528
+ "bitrate": 5.9646,
529
+ "s_local": 0.0683,
530
+ "tau": 0.0,
531
+ "downstream_acc": null
532
+ }
533
+ ]
534
+ },
535
+ "bitrate_sweep_reverse": {
536
+ "model_name": "beit_large_patch16_224",
537
+ "reference_name": "dinov2_vitl14",
538
+ "compression_method": "rank_reduction",
539
+ "points": [
540
+ {
541
+ "level": 1.0,
542
+ "bitrate": 9.3985,
543
+ "s_local": 0.0723,
544
+ "tau": 0.0,
545
+ "downstream_acc": null
546
+ },
547
+ {
548
+ "level": 0.75,
549
+ "bitrate": 9.0829,
550
+ "s_local": 0.0725,
551
+ "tau": 0.0,
552
+ "downstream_acc": null
553
+ },
554
+ {
555
+ "level": 0.5,
556
+ "bitrate": 8.5684,
557
+ "s_local": 0.073,
558
+ "tau": 0.0,
559
+ "downstream_acc": null
560
+ },
561
+ {
562
+ "level": 0.25,
563
+ "bitrate": 7.6361,
564
+ "s_local": 0.0731,
565
+ "tau": 0.0,
566
+ "downstream_acc": null
567
+ },
568
+ {
569
+ "level": 0.125,
570
+ "bitrate": 6.6864,
571
+ "s_local": 0.0697,
572
+ "tau": 0.0,
573
+ "downstream_acc": null
574
+ },
575
+ {
576
+ "level": 0.0625,
577
+ "bitrate": 5.7313,
578
+ "s_local": 0.0626,
579
+ "tau": 0.0,
580
+ "downstream_acc": null
581
+ }
582
+ ]
583
+ },
584
+ "neighborhood_alignment": {
585
+ "s_local": 0.0722,
586
+ "s_global": 0.1615,
587
+ "lambda_val": 0.4473,
588
+ "raw_overlap": 0.0741,
589
+ "null_mean": 0.002,
590
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
591
+ },
592
+ "transport_stress_test": {
593
+ "model_a_name": "dinov2_vitl14",
594
+ "model_b_name": "beit_large_patch16_224",
595
+ "points": [
596
+ {
597
+ "delta": 0.3632,
598
+ "tau_a_to_b": 0.0,
599
+ "tau_b_to_a": 0.0,
600
+ "tai": 0.0,
601
+ "compression_level": 1.0,
602
+ "regime": "Local-Only"
603
+ },
604
+ {
605
+ "delta": 0.0092,
606
+ "tau_a_to_b": 0.0,
607
+ "tau_b_to_a": 0.0,
608
+ "tai": 0.0,
609
+ "compression_level": 0.75,
610
+ "regime": "Local-Only"
611
+ },
612
+ {
613
+ "delta": 0.535,
614
+ "tau_a_to_b": 0.0,
615
+ "tau_b_to_a": 0.0,
616
+ "tai": 0.0,
617
+ "compression_level": 0.5,
618
+ "regime": "Local-Only"
619
+ },
620
+ {
621
+ "delta": 1.4933,
622
+ "tau_a_to_b": 0.0,
623
+ "tau_b_to_a": 0.0,
624
+ "tai": 0.0,
625
+ "compression_level": 0.25,
626
+ "regime": "Local-Only"
627
+ },
628
+ {
629
+ "delta": 2.4579,
630
+ "tau_a_to_b": 0.0,
631
+ "tau_b_to_a": 0.0,
632
+ "tai": 0.0,
633
+ "compression_level": 0.125,
634
+ "regime": "Local-Only"
635
+ }
636
+ ]
637
+ }
638
+ },
639
+ {
640
+ "pair": "vit_base_patch16_224 <-> resnet50",
641
+ "model_a": "vit_base_patch16_224",
642
+ "model_b": "resnet50",
643
+ "bitrate_sweep": {
644
+ "model_name": "vit_base_patch16_224",
645
+ "reference_name": "resnet50",
646
+ "compression_method": "rank_reduction",
647
+ "points": [
648
+ {
649
+ "level": 1.0,
650
+ "bitrate": 9.1664,
651
+ "s_local": 0.2137,
652
+ "tau": 0.0,
653
+ "downstream_acc": null
654
+ },
655
+ {
656
+ "level": 0.75,
657
+ "bitrate": 8.8534,
658
+ "s_local": 0.2137,
659
+ "tau": 0.0,
660
+ "downstream_acc": null
661
+ },
662
+ {
663
+ "level": 0.5,
664
+ "bitrate": 8.3512,
665
+ "s_local": 0.2143,
666
+ "tau": 0.0,
667
+ "downstream_acc": null
668
+ },
669
+ {
670
+ "level": 0.25,
671
+ "bitrate": 7.4225,
672
+ "s_local": 0.2123,
673
+ "tau": 0.0,
674
+ "downstream_acc": null
675
+ },
676
+ {
677
+ "level": 0.125,
678
+ "bitrate": 6.4597,
679
+ "s_local": 0.2024,
680
+ "tau": 0.0,
681
+ "downstream_acc": null
682
+ },
683
+ {
684
+ "level": 0.0625,
685
+ "bitrate": 5.4838,
686
+ "s_local": 0.185,
687
+ "tau": 1.0,
688
+ "downstream_acc": null
689
+ }
690
+ ]
691
+ },
692
+ "bitrate_sweep_reverse": {
693
+ "model_name": "resnet50",
694
+ "reference_name": "vit_base_patch16_224",
695
+ "compression_method": "rank_reduction",
696
+ "points": [
697
+ {
698
+ "level": 1.0,
699
+ "bitrate": 10.363,
700
+ "s_local": 0.2138,
701
+ "tau": 0.0,
702
+ "downstream_acc": null
703
+ },
704
+ {
705
+ "level": 0.75,
706
+ "bitrate": 10.1057,
707
+ "s_local": 0.2137,
708
+ "tau": 0.0,
709
+ "downstream_acc": null
710
+ },
711
+ {
712
+ "level": 0.5,
713
+ "bitrate": 9.6217,
714
+ "s_local": 0.2137,
715
+ "tau": 0.0,
716
+ "downstream_acc": null
717
+ },
718
+ {
719
+ "level": 0.25,
720
+ "bitrate": 8.7042,
721
+ "s_local": 0.214,
722
+ "tau": 0.0,
723
+ "downstream_acc": null
724
+ },
725
+ {
726
+ "level": 0.125,
727
+ "bitrate": 7.7545,
728
+ "s_local": 0.212,
729
+ "tau": 0.0,
730
+ "downstream_acc": null
731
+ },
732
+ {
733
+ "level": 0.0625,
734
+ "bitrate": 6.7991,
735
+ "s_local": 0.2045,
736
+ "tau": 0.0,
737
+ "downstream_acc": null
738
+ }
739
+ ]
740
+ },
741
+ "neighborhood_alignment": {
742
+ "s_local": 0.2137,
743
+ "s_global": 0.6391,
744
+ "lambda_val": 0.3344,
745
+ "raw_overlap": 0.2153,
746
+ "null_mean": 0.002,
747
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
748
+ },
749
+ "transport_stress_test": {
750
+ "model_a_name": "vit_base_patch16_224",
751
+ "model_b_name": "resnet50",
752
+ "points": [
753
+ {
754
+ "delta": 1.1965,
755
+ "tau_a_to_b": 0.0,
756
+ "tau_b_to_a": 0.0,
757
+ "tai": 0.0,
758
+ "compression_level": 1.0,
759
+ "regime": "Local-Only"
760
+ },
761
+ {
762
+ "delta": 1.5095,
763
+ "tau_a_to_b": 0.0,
764
+ "tau_b_to_a": 0.0,
765
+ "tai": 0.0,
766
+ "compression_level": 0.75,
767
+ "regime": "Local-Only"
768
+ },
769
+ {
770
+ "delta": 2.0116,
771
+ "tau_a_to_b": 0.0,
772
+ "tau_b_to_a": 0.0,
773
+ "tai": 0.0,
774
+ "compression_level": 0.5,
775
+ "regime": "Local-Only"
776
+ },
777
+ {
778
+ "delta": 2.9403,
779
+ "tau_a_to_b": 0.0,
780
+ "tau_b_to_a": 0.976,
781
+ "tai": 1.0,
782
+ "compression_level": 0.25,
783
+ "regime": "Local-Only"
784
+ },
785
+ {
786
+ "delta": 3.9031,
787
+ "tau_a_to_b": 0.0,
788
+ "tau_b_to_a": 0.4466,
789
+ "tai": 1.0,
790
+ "compression_level": 0.125,
791
+ "regime": "Local-Only"
792
+ }
793
+ ]
794
+ }
795
+ },
796
+ {
797
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
798
+ "model_a": "dinov2_vitb14",
799
+ "model_b": "clip_vitb16",
800
+ "bitrate_sweep": {
801
+ "model_name": "dinov2_vitb14",
802
+ "reference_name": "clip_vitb16",
803
+ "compression_method": "rank_reduction",
804
+ "points": [
805
+ {
806
+ "level": 1.0,
807
+ "bitrate": 9.3627,
808
+ "s_local": 0.2241,
809
+ "tau": 0.0,
810
+ "downstream_acc": null
811
+ },
812
+ {
813
+ "level": 0.75,
814
+ "bitrate": 9.0057,
815
+ "s_local": 0.2245,
816
+ "tau": 0.0,
817
+ "downstream_acc": null
818
+ },
819
+ {
820
+ "level": 0.5,
821
+ "bitrate": 8.4584,
822
+ "s_local": 0.2241,
823
+ "tau": 0.0,
824
+ "downstream_acc": null
825
+ },
826
+ {
827
+ "level": 0.25,
828
+ "bitrate": 7.4962,
829
+ "s_local": 0.222,
830
+ "tau": 0.0,
831
+ "downstream_acc": null
832
+ },
833
+ {
834
+ "level": 0.125,
835
+ "bitrate": 6.5239,
836
+ "s_local": 0.2126,
837
+ "tau": 0.0,
838
+ "downstream_acc": null
839
+ },
840
+ {
841
+ "level": 0.0625,
842
+ "bitrate": 5.5396,
843
+ "s_local": 0.202,
844
+ "tau": 0.0,
845
+ "downstream_acc": null
846
+ }
847
+ ]
848
+ },
849
+ "bitrate_sweep_reverse": {
850
+ "model_name": "clip_vitb16",
851
+ "reference_name": "dinov2_vitb14",
852
+ "compression_method": "rank_reduction",
853
+ "points": [
854
+ {
855
+ "level": 1.0,
856
+ "bitrate": 8.4655,
857
+ "s_local": 0.224,
858
+ "tau": 0.0,
859
+ "downstream_acc": null
860
+ },
861
+ {
862
+ "level": 0.75,
863
+ "bitrate": 8.2003,
864
+ "s_local": 0.2242,
865
+ "tau": 0.0,
866
+ "downstream_acc": null
867
+ },
868
+ {
869
+ "level": 0.5,
870
+ "bitrate": 7.7053,
871
+ "s_local": 0.2243,
872
+ "tau": 0.0,
873
+ "downstream_acc": null
874
+ },
875
+ {
876
+ "level": 0.25,
877
+ "bitrate": 6.7916,
878
+ "s_local": 0.2212,
879
+ "tau": 0.0,
880
+ "downstream_acc": null
881
+ },
882
+ {
883
+ "level": 0.125,
884
+ "bitrate": 5.8464,
885
+ "s_local": 0.2053,
886
+ "tau": 0.0,
887
+ "downstream_acc": null
888
+ },
889
+ {
890
+ "level": 0.0625,
891
+ "bitrate": 4.8846,
892
+ "s_local": 0.1688,
893
+ "tau": 1.0,
894
+ "downstream_acc": null
895
+ }
896
+ ]
897
+ },
898
+ "neighborhood_alignment": {
899
+ "s_local": 0.2241,
900
+ "s_global": 0.4886,
901
+ "lambda_val": 0.4586,
902
+ "raw_overlap": 0.2256,
903
+ "null_mean": 0.002,
904
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
905
+ },
906
+ "transport_stress_test": {
907
+ "model_a_name": "dinov2_vitb14",
908
+ "model_b_name": "clip_vitb16",
909
+ "points": [
910
+ {
911
+ "delta": 0.8972,
912
+ "tau_a_to_b": 0.0,
913
+ "tau_b_to_a": 0.0,
914
+ "tai": 0.0,
915
+ "compression_level": 1.0,
916
+ "regime": "Local-Only"
917
+ },
918
+ {
919
+ "delta": 0.5402,
920
+ "tau_a_to_b": 0.0,
921
+ "tau_b_to_a": 0.0,
922
+ "tai": 0.0,
923
+ "compression_level": 0.75,
924
+ "regime": "Local-Only"
925
+ },
926
+ {
927
+ "delta": 0.0071,
928
+ "tau_a_to_b": 0.0,
929
+ "tau_b_to_a": 0.0,
930
+ "tai": 0.0,
931
+ "compression_level": 0.5,
932
+ "regime": "Local-Only"
933
+ },
934
+ {
935
+ "delta": 0.9693,
936
+ "tau_a_to_b": 0.0,
937
+ "tau_b_to_a": 0.0,
938
+ "tai": 1.0,
939
+ "compression_level": 0.25,
940
+ "regime": "Local-Only"
941
+ },
942
+ {
943
+ "delta": 1.9416,
944
+ "tau_a_to_b": 0.0,
945
+ "tau_b_to_a": 0.8671,
946
+ "tai": 0.528,
947
+ "compression_level": 0.125,
948
+ "regime": "Local-Only"
949
+ }
950
+ ]
951
+ }
952
+ },
953
+ {
954
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
955
+ "model_a": "vit_base_patch16_224.mae",
956
+ "model_b": "vit_base_patch16_224",
957
+ "bitrate_sweep": {
958
+ "model_name": "vit_base_patch16_224.mae",
959
+ "reference_name": "vit_base_patch16_224",
960
+ "compression_method": "rank_reduction",
961
+ "points": [
962
+ {
963
+ "level": 1.0,
964
+ "bitrate": 6.9984,
965
+ "s_local": 0.0265,
966
+ "tau": 0.0,
967
+ "downstream_acc": null
968
+ },
969
+ {
970
+ "level": 0.75,
971
+ "bitrate": 6.7933,
972
+ "s_local": 0.0266,
973
+ "tau": 0.0,
974
+ "downstream_acc": null
975
+ },
976
+ {
977
+ "level": 0.5,
978
+ "bitrate": 6.4056,
979
+ "s_local": 0.0265,
980
+ "tau": 0.0,
981
+ "downstream_acc": null
982
+ },
983
+ {
984
+ "level": 0.25,
985
+ "bitrate": 5.6351,
986
+ "s_local": 0.0265,
987
+ "tau": 0.0,
988
+ "downstream_acc": null
989
+ },
990
+ {
991
+ "level": 0.125,
992
+ "bitrate": 4.8296,
993
+ "s_local": 0.0258,
994
+ "tau": 0.0,
995
+ "downstream_acc": null
996
+ },
997
+ {
998
+ "level": 0.0625,
999
+ "bitrate": 4.0489,
1000
+ "s_local": 0.0252,
1001
+ "tau": 0.0,
1002
+ "downstream_acc": null
1003
+ }
1004
+ ]
1005
+ },
1006
+ "bitrate_sweep_reverse": {
1007
+ "model_name": "vit_base_patch16_224",
1008
+ "reference_name": "vit_base_patch16_224.mae",
1009
+ "compression_method": "rank_reduction",
1010
+ "points": [
1011
+ {
1012
+ "level": 1.0,
1013
+ "bitrate": 9.1664,
1014
+ "s_local": 0.0266,
1015
+ "tau": 0.0,
1016
+ "downstream_acc": null
1017
+ },
1018
+ {
1019
+ "level": 0.75,
1020
+ "bitrate": 8.8534,
1021
+ "s_local": 0.0266,
1022
+ "tau": 0.0,
1023
+ "downstream_acc": null
1024
+ },
1025
+ {
1026
+ "level": 0.5,
1027
+ "bitrate": 8.3512,
1028
+ "s_local": 0.0264,
1029
+ "tau": 0.0,
1030
+ "downstream_acc": null
1031
+ },
1032
+ {
1033
+ "level": 0.25,
1034
+ "bitrate": 7.4225,
1035
+ "s_local": 0.0263,
1036
+ "tau": 0.0,
1037
+ "downstream_acc": null
1038
+ },
1039
+ {
1040
+ "level": 0.125,
1041
+ "bitrate": 6.4597,
1042
+ "s_local": 0.0258,
1043
+ "tau": 0.0,
1044
+ "downstream_acc": null
1045
+ },
1046
+ {
1047
+ "level": 0.0625,
1048
+ "bitrate": 5.4838,
1049
+ "s_local": 0.0249,
1050
+ "tau": 0.0,
1051
+ "downstream_acc": null
1052
+ }
1053
+ ]
1054
+ },
1055
+ "neighborhood_alignment": {
1056
+ "s_local": 0.0265,
1057
+ "s_global": 0.1539,
1058
+ "lambda_val": 0.1724,
1059
+ "raw_overlap": 0.0285,
1060
+ "null_mean": 0.002,
1061
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
1062
+ },
1063
+ "transport_stress_test": {
1064
+ "model_a_name": "vit_base_patch16_224.mae",
1065
+ "model_b_name": "vit_base_patch16_224",
1066
+ "points": [
1067
+ {
1068
+ "delta": 2.1679,
1069
+ "tau_a_to_b": 0.0,
1070
+ "tau_b_to_a": 0.0,
1071
+ "tai": 1.0,
1072
+ "compression_level": 1.0,
1073
+ "regime": "Divergent"
1074
+ },
1075
+ {
1076
+ "delta": 2.373,
1077
+ "tau_a_to_b": 0.0,
1078
+ "tau_b_to_a": 0.0,
1079
+ "tai": 1.0,
1080
+ "compression_level": 0.75,
1081
+ "regime": "Divergent"
1082
+ },
1083
+ {
1084
+ "delta": 2.7607,
1085
+ "tau_a_to_b": 0.0,
1086
+ "tau_b_to_a": 0.0,
1087
+ "tai": 1.0,
1088
+ "compression_level": 0.5,
1089
+ "regime": "Divergent"
1090
+ },
1091
+ {
1092
+ "delta": 3.5312,
1093
+ "tau_a_to_b": 0.0,
1094
+ "tau_b_to_a": 0.0,
1095
+ "tai": 1.0,
1096
+ "compression_level": 0.25,
1097
+ "regime": "Divergent"
1098
+ },
1099
+ {
1100
+ "delta": 4.3367,
1101
+ "tau_a_to_b": 0.0,
1102
+ "tau_b_to_a": 0.0,
1103
+ "tai": 1.0,
1104
+ "compression_level": 0.125,
1105
+ "regime": "Divergent"
1106
+ }
1107
+ ]
1108
+ }
1109
+ },
1110
+ {
1111
+ "pair": "vit_base_patch16_224.mae <-> resnet101",
1112
+ "model_a": "vit_base_patch16_224.mae",
1113
+ "model_b": "resnet101",
1114
+ "bitrate_sweep": {
1115
+ "model_name": "vit_base_patch16_224.mae",
1116
+ "reference_name": "resnet101",
1117
+ "compression_method": "rank_reduction",
1118
+ "points": [
1119
+ {
1120
+ "level": 1.0,
1121
+ "bitrate": 6.9984,
1122
+ "s_local": 0.0302,
1123
+ "tau": 0.0,
1124
+ "downstream_acc": null
1125
+ },
1126
+ {
1127
+ "level": 0.75,
1128
+ "bitrate": 6.7933,
1129
+ "s_local": 0.0302,
1130
+ "tau": 0.0,
1131
+ "downstream_acc": null
1132
+ },
1133
+ {
1134
+ "level": 0.5,
1135
+ "bitrate": 6.4056,
1136
+ "s_local": 0.0301,
1137
+ "tau": 0.0,
1138
+ "downstream_acc": null
1139
+ },
1140
+ {
1141
+ "level": 0.25,
1142
+ "bitrate": 5.6351,
1143
+ "s_local": 0.0301,
1144
+ "tau": 0.0,
1145
+ "downstream_acc": null
1146
+ },
1147
+ {
1148
+ "level": 0.125,
1149
+ "bitrate": 4.8296,
1150
+ "s_local": 0.0296,
1151
+ "tau": 0.0,
1152
+ "downstream_acc": null
1153
+ },
1154
+ {
1155
+ "level": 0.0625,
1156
+ "bitrate": 4.0489,
1157
+ "s_local": 0.0287,
1158
+ "tau": 0.0,
1159
+ "downstream_acc": null
1160
+ }
1161
+ ]
1162
+ },
1163
+ "bitrate_sweep_reverse": {
1164
+ "model_name": "resnet101",
1165
+ "reference_name": "vit_base_patch16_224.mae",
1166
+ "compression_method": "rank_reduction",
1167
+ "points": [
1168
+ {
1169
+ "level": 1.0,
1170
+ "bitrate": 10.4752,
1171
+ "s_local": 0.0303,
1172
+ "tau": 0.0,
1173
+ "downstream_acc": null
1174
+ },
1175
+ {
1176
+ "level": 0.75,
1177
+ "bitrate": 10.1962,
1178
+ "s_local": 0.0303,
1179
+ "tau": 0.0,
1180
+ "downstream_acc": null
1181
+ },
1182
+ {
1183
+ "level": 0.5,
1184
+ "bitrate": 9.6932,
1185
+ "s_local": 0.0303,
1186
+ "tau": 0.0,
1187
+ "downstream_acc": null
1188
+ },
1189
+ {
1190
+ "level": 0.25,
1191
+ "bitrate": 8.7623,
1192
+ "s_local": 0.0306,
1193
+ "tau": 0.0,
1194
+ "downstream_acc": null
1195
+ },
1196
+ {
1197
+ "level": 0.125,
1198
+ "bitrate": 7.8079,
1199
+ "s_local": 0.0303,
1200
+ "tau": 0.0,
1201
+ "downstream_acc": null
1202
+ },
1203
+ {
1204
+ "level": 0.0625,
1205
+ "bitrate": 6.847,
1206
+ "s_local": 0.0291,
1207
+ "tau": 0.0,
1208
+ "downstream_acc": null
1209
+ }
1210
+ ]
1211
+ },
1212
+ "neighborhood_alignment": {
1213
+ "s_local": 0.0302,
1214
+ "s_global": 0.144,
1215
+ "lambda_val": 0.2095,
1216
+ "raw_overlap": 0.0321,
1217
+ "null_mean": 0.002,
1218
+ "interpretation": "No meaningful alignment (Collapsed or Divergent regime)."
1219
+ },
1220
+ "transport_stress_test": {
1221
+ "model_a_name": "vit_base_patch16_224.mae",
1222
+ "model_b_name": "resnet101",
1223
+ "points": [
1224
+ {
1225
+ "delta": 3.4766,
1226
+ "tau_a_to_b": 0.0,
1227
+ "tau_b_to_a": 0.0,
1228
+ "tai": 1.0,
1229
+ "compression_level": 1.0,
1230
+ "regime": "Divergent"
1231
+ },
1232
+ {
1233
+ "delta": 3.6817,
1234
+ "tau_a_to_b": 0.0,
1235
+ "tau_b_to_a": 0.0,
1236
+ "tai": 1.0,
1237
+ "compression_level": 0.75,
1238
+ "regime": "Divergent"
1239
+ },
1240
+ {
1241
+ "delta": 4.0694,
1242
+ "tau_a_to_b": 0.0,
1243
+ "tau_b_to_a": 0.0,
1244
+ "tai": 1.0,
1245
+ "compression_level": 0.5,
1246
+ "regime": "Divergent"
1247
+ },
1248
+ {
1249
+ "delta": 4.8399,
1250
+ "tau_a_to_b": 0.0,
1251
+ "tau_b_to_a": 0.0,
1252
+ "tai": 1.0,
1253
+ "compression_level": 0.25,
1254
+ "regime": "Divergent"
1255
+ },
1256
+ {
1257
+ "delta": 5.6454,
1258
+ "tau_a_to_b": 0.0,
1259
+ "tau_b_to_a": 0.0,
1260
+ "tai": 1.0,
1261
+ "compression_level": 0.125,
1262
+ "regime": "Divergent"
1263
+ }
1264
+ ]
1265
+ }
1266
+ }
1267
+ ]
1268
+ }
data/experiments/causal_bitrate_verification.json ADDED
@@ -0,0 +1,2334 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "compression_levels": [
4
+ 1.0,
5
+ 0.9,
6
+ 0.8,
7
+ 0.7,
8
+ 0.6,
9
+ 0.5,
10
+ 0.4,
11
+ 0.3,
12
+ 0.25,
13
+ 0.2,
14
+ 0.15,
15
+ 0.1,
16
+ 0.075,
17
+ 0.05,
18
+ 0.025
19
+ ],
20
+ "k": 10,
21
+ "n_permutations": 100,
22
+ "seed": 42
23
+ },
24
+ "results": [
25
+ {
26
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
27
+ "points": [
28
+ {
29
+ "level": 1.0,
30
+ "bitrate_a": 8.6006,
31
+ "bitrate_b": 8.9632,
32
+ "delta": 0.3626,
33
+ "s_local": 0.5138,
34
+ "raw_overlap": 0.5147,
35
+ "tau": 0.4052,
36
+ "perf_linear": 0.07,
37
+ "perf_best": 0.1728,
38
+ "converged": true
39
+ },
40
+ {
41
+ "level": 0.9,
42
+ "bitrate_a": 8.5341,
43
+ "bitrate_b": 8.9632,
44
+ "delta": 0.4291,
45
+ "s_local": 0.5137,
46
+ "raw_overlap": 0.5147,
47
+ "tau": 0.4235,
48
+ "perf_linear": 0.0774,
49
+ "perf_best": 0.1827,
50
+ "converged": true
51
+ },
52
+ {
53
+ "level": 0.8,
54
+ "bitrate_a": 8.4371,
55
+ "bitrate_b": 8.9632,
56
+ "delta": 0.5261,
57
+ "s_local": 0.5147,
58
+ "raw_overlap": 0.5156,
59
+ "tau": 0.4507,
60
+ "perf_linear": 0.0898,
61
+ "perf_best": 0.1994,
62
+ "converged": true
63
+ },
64
+ {
65
+ "level": 0.7,
66
+ "bitrate_a": 8.3134,
67
+ "bitrate_b": 8.9632,
68
+ "delta": 0.6498,
69
+ "s_local": 0.5143,
70
+ "raw_overlap": 0.5152,
71
+ "tau": 0.4817,
72
+ "perf_linear": 0.1066,
73
+ "perf_best": 0.2212,
74
+ "converged": true
75
+ },
76
+ {
77
+ "level": 0.6,
78
+ "bitrate_a": 8.1581,
79
+ "bitrate_b": 8.9632,
80
+ "delta": 0.8051,
81
+ "s_local": 0.5135,
82
+ "raw_overlap": 0.5145,
83
+ "tau": 0.5203,
84
+ "perf_linear": 0.128,
85
+ "perf_best": 0.246,
86
+ "converged": true
87
+ },
88
+ {
89
+ "level": 0.5,
90
+ "bitrate_a": 7.9645,
91
+ "bitrate_b": 8.9632,
92
+ "delta": 0.9987,
93
+ "s_local": 0.5134,
94
+ "raw_overlap": 0.5143,
95
+ "tau": 0.5698,
96
+ "perf_linear": 0.1535,
97
+ "perf_best": 0.2694,
98
+ "converged": true
99
+ },
100
+ {
101
+ "level": 0.4,
102
+ "bitrate_a": 7.7119,
103
+ "bitrate_b": 8.9632,
104
+ "delta": 1.2514,
105
+ "s_local": 0.5101,
106
+ "raw_overlap": 0.5111,
107
+ "tau": 0.6249,
108
+ "perf_linear": 0.183,
109
+ "perf_best": 0.2928,
110
+ "converged": true
111
+ },
112
+ {
113
+ "level": 0.3,
114
+ "bitrate_a": 7.3726,
115
+ "bitrate_b": 8.9632,
116
+ "delta": 1.5906,
117
+ "s_local": 0.5041,
118
+ "raw_overlap": 0.5051,
119
+ "tau": 0.6746,
120
+ "perf_linear": 0.2135,
121
+ "perf_best": 0.3165,
122
+ "converged": true
123
+ },
124
+ {
125
+ "level": 0.25,
126
+ "bitrate_a": 7.1548,
127
+ "bitrate_b": 8.9632,
128
+ "delta": 1.8084,
129
+ "s_local": 0.5,
130
+ "raw_overlap": 0.501,
131
+ "tau": 0.6972,
132
+ "perf_linear": 0.2267,
133
+ "perf_best": 0.3252,
134
+ "converged": true
135
+ },
136
+ {
137
+ "level": 0.2,
138
+ "bitrate_a": 6.8772,
139
+ "bitrate_b": 8.9632,
140
+ "delta": 2.086,
141
+ "s_local": 0.4891,
142
+ "raw_overlap": 0.4902,
143
+ "tau": 0.7037,
144
+ "perf_linear": 0.2364,
145
+ "perf_best": 0.336,
146
+ "converged": true
147
+ },
148
+ {
149
+ "level": 0.15,
150
+ "bitrate_a": 6.5202,
151
+ "bitrate_b": 8.9632,
152
+ "delta": 2.443,
153
+ "s_local": 0.4731,
154
+ "raw_overlap": 0.4741,
155
+ "tau": 0.6916,
156
+ "perf_linear": 0.2371,
157
+ "perf_best": 0.3429,
158
+ "converged": true
159
+ },
160
+ {
161
+ "level": 0.1,
162
+ "bitrate_a": 5.9854,
163
+ "bitrate_b": 8.9632,
164
+ "delta": 2.9778,
165
+ "s_local": 0.4415,
166
+ "raw_overlap": 0.4427,
167
+ "tau": 0.6345,
168
+ "perf_linear": 0.2187,
169
+ "perf_best": 0.3447,
170
+ "converged": true
171
+ },
172
+ {
173
+ "level": 0.075,
174
+ "bitrate_a": 5.6014,
175
+ "bitrate_b": 8.9632,
176
+ "delta": 3.3618,
177
+ "s_local": 0.4201,
178
+ "raw_overlap": 0.4212,
179
+ "tau": 0.5663,
180
+ "perf_linear": 0.1932,
181
+ "perf_best": 0.3411,
182
+ "converged": true
183
+ },
184
+ {
185
+ "level": 0.05,
186
+ "bitrate_a": 5.0503,
187
+ "bitrate_b": 8.9632,
188
+ "delta": 3.9129,
189
+ "s_local": 0.3815,
190
+ "raw_overlap": 0.3827,
191
+ "tau": 0.4813,
192
+ "perf_linear": 0.1588,
193
+ "perf_best": 0.3298,
194
+ "converged": true
195
+ },
196
+ {
197
+ "level": 0.025,
198
+ "bitrate_a": 4.0956,
199
+ "bitrate_b": 8.9632,
200
+ "delta": 4.8676,
201
+ "s_local": 0.3011,
202
+ "raw_overlap": 0.3025,
203
+ "tau": 0.3774,
204
+ "perf_linear": 0.1101,
205
+ "perf_best": 0.2918,
206
+ "converged": true
207
+ }
208
+ ],
209
+ "sigmoid_fit_alignment": {
210
+ "s_max": 0.5333,
211
+ "kappa": 0.7461,
212
+ "r0": 3.7822,
213
+ "r2_fit": 0.9958,
214
+ "r_crit": 3.7822,
215
+ "r_sat": 6.7272
216
+ },
217
+ "sigmoid_fit_transport": {
218
+ "s_max": 1.107,
219
+ "kappa": 0.0,
220
+ "r0": 0.0,
221
+ "r2_fit": -0.0,
222
+ "r_crit": 0.0,
223
+ "r_sat": 2197224.5773
224
+ },
225
+ "model_comparison": {
226
+ "linear": {
227
+ "r2": 0.8908,
228
+ "bic": -111.91,
229
+ "n_params": 2
230
+ },
231
+ "log": {
232
+ "r2": 0.9466,
233
+ "bic": -122.63,
234
+ "n_params": 2
235
+ },
236
+ "sigmoid": {
237
+ "r2": 0.9958,
238
+ "bic": -158.22,
239
+ "n_params": 3
240
+ },
241
+ "power": {
242
+ "r2": 0.9466,
243
+ "bic": -119.92,
244
+ "n_params": 3
245
+ }
246
+ },
247
+ "permutation_null": {
248
+ "obs_r2": 0.9958,
249
+ "null_mean": 0.0527,
250
+ "null_std": 0.1364,
251
+ "p_value": 0.0,
252
+ "n_perms": 1000
253
+ }
254
+ },
255
+ {
256
+ "pair": "clip_vitb16 <-> clip_vitl14",
257
+ "points": [
258
+ {
259
+ "level": 1.0,
260
+ "bitrate_a": 6.8409,
261
+ "bitrate_b": 7.4421,
262
+ "delta": 0.6011,
263
+ "s_local": 0.2907,
264
+ "raw_overlap": 0.2921,
265
+ "tau": 0.9405,
266
+ "perf_linear": 0.327,
267
+ "perf_best": 0.3477,
268
+ "converged": true
269
+ },
270
+ {
271
+ "level": 0.9,
272
+ "bitrate_a": 6.8264,
273
+ "bitrate_b": 7.4421,
274
+ "delta": 0.6157,
275
+ "s_local": 0.2907,
276
+ "raw_overlap": 0.2921,
277
+ "tau": 0.9426,
278
+ "perf_linear": 0.3279,
279
+ "perf_best": 0.3478,
280
+ "converged": true
281
+ },
282
+ {
283
+ "level": 0.8,
284
+ "bitrate_a": 6.7905,
285
+ "bitrate_b": 7.4421,
286
+ "delta": 0.6515,
287
+ "s_local": 0.2903,
288
+ "raw_overlap": 0.2917,
289
+ "tau": 0.9413,
290
+ "perf_linear": 0.3309,
291
+ "perf_best": 0.3516,
292
+ "converged": true
293
+ },
294
+ {
295
+ "level": 0.7,
296
+ "bitrate_a": 6.7315,
297
+ "bitrate_b": 7.4421,
298
+ "delta": 0.7106,
299
+ "s_local": 0.2915,
300
+ "raw_overlap": 0.2929,
301
+ "tau": 0.9346,
302
+ "perf_linear": 0.3365,
303
+ "perf_best": 0.3601,
304
+ "converged": true
305
+ },
306
+ {
307
+ "level": 0.6,
308
+ "bitrate_a": 6.6455,
309
+ "bitrate_b": 7.4421,
310
+ "delta": 0.7966,
311
+ "s_local": 0.2915,
312
+ "raw_overlap": 0.2929,
313
+ "tau": 0.9272,
314
+ "perf_linear": 0.3429,
315
+ "perf_best": 0.3699,
316
+ "converged": true
317
+ },
318
+ {
319
+ "level": 0.5,
320
+ "bitrate_a": 6.5247,
321
+ "bitrate_b": 7.4421,
322
+ "delta": 0.9174,
323
+ "s_local": 0.292,
324
+ "raw_overlap": 0.2934,
325
+ "tau": 0.9253,
326
+ "perf_linear": 0.3508,
327
+ "perf_best": 0.3791,
328
+ "converged": true
329
+ },
330
+ {
331
+ "level": 0.4,
332
+ "bitrate_a": 6.3525,
333
+ "bitrate_b": 7.4421,
334
+ "delta": 1.0896,
335
+ "s_local": 0.2906,
336
+ "raw_overlap": 0.292,
337
+ "tau": 0.9188,
338
+ "perf_linear": 0.359,
339
+ "perf_best": 0.3907,
340
+ "converged": true
341
+ },
342
+ {
343
+ "level": 0.3,
344
+ "bitrate_a": 6.1083,
345
+ "bitrate_b": 7.4421,
346
+ "delta": 1.3338,
347
+ "s_local": 0.288,
348
+ "raw_overlap": 0.2894,
349
+ "tau": 0.9113,
350
+ "perf_linear": 0.3635,
351
+ "perf_best": 0.3988,
352
+ "converged": true
353
+ },
354
+ {
355
+ "level": 0.25,
356
+ "bitrate_a": 5.9455,
357
+ "bitrate_b": 7.4421,
358
+ "delta": 1.4965,
359
+ "s_local": 0.2848,
360
+ "raw_overlap": 0.2862,
361
+ "tau": 0.8964,
362
+ "perf_linear": 0.3624,
363
+ "perf_best": 0.4042,
364
+ "converged": true
365
+ },
366
+ {
367
+ "level": 0.2,
368
+ "bitrate_a": 5.7271,
369
+ "bitrate_b": 7.4421,
370
+ "delta": 1.715,
371
+ "s_local": 0.2797,
372
+ "raw_overlap": 0.2812,
373
+ "tau": 0.878,
374
+ "perf_linear": 0.3573,
375
+ "perf_best": 0.4069,
376
+ "converged": true
377
+ },
378
+ {
379
+ "level": 0.15,
380
+ "bitrate_a": 5.427,
381
+ "bitrate_b": 7.4421,
382
+ "delta": 2.0151,
383
+ "s_local": 0.2706,
384
+ "raw_overlap": 0.272,
385
+ "tau": 0.8405,
386
+ "perf_linear": 0.3447,
387
+ "perf_best": 0.4101,
388
+ "converged": true
389
+ },
390
+ {
391
+ "level": 0.1,
392
+ "bitrate_a": 4.9923,
393
+ "bitrate_b": 7.4421,
394
+ "delta": 2.4497,
395
+ "s_local": 0.2513,
396
+ "raw_overlap": 0.2528,
397
+ "tau": 0.7739,
398
+ "perf_linear": 0.3148,
399
+ "perf_best": 0.4068,
400
+ "converged": true
401
+ },
402
+ {
403
+ "level": 0.075,
404
+ "bitrate_a": 4.658,
405
+ "bitrate_b": 7.4421,
406
+ "delta": 2.7841,
407
+ "s_local": 0.2331,
408
+ "raw_overlap": 0.2347,
409
+ "tau": 0.7298,
410
+ "perf_linear": 0.2905,
411
+ "perf_best": 0.398,
412
+ "converged": true
413
+ },
414
+ {
415
+ "level": 0.05,
416
+ "bitrate_a": 4.1673,
417
+ "bitrate_b": 7.4421,
418
+ "delta": 3.2748,
419
+ "s_local": 0.1998,
420
+ "raw_overlap": 0.2015,
421
+ "tau": 0.6774,
422
+ "perf_linear": 0.2549,
423
+ "perf_best": 0.3763,
424
+ "converged": true
425
+ },
426
+ {
427
+ "level": 0.025,
428
+ "bitrate_a": 3.2845,
429
+ "bitrate_b": 7.4421,
430
+ "delta": 4.1576,
431
+ "s_local": 0.1338,
432
+ "raw_overlap": 0.1356,
433
+ "tau": 0.5852,
434
+ "perf_linear": 0.187,
435
+ "perf_best": 0.3195,
436
+ "converged": true
437
+ }
438
+ ],
439
+ "sigmoid_fit_alignment": {
440
+ "s_max": 0.3008,
441
+ "kappa": 1.1112,
442
+ "r0": 3.5116,
443
+ "r2_fit": 0.9973,
444
+ "r_crit": 3.5116,
445
+ "r_sat": 5.4891
446
+ },
447
+ "sigmoid_fit_transport": {
448
+ "s_max": 1.0966,
449
+ "kappa": 0.497,
450
+ "r0": 3.1133,
451
+ "r2_fit": 0.9891,
452
+ "r_crit": 3.1133,
453
+ "r_sat": 7.5346
454
+ },
455
+ "model_comparison": {
456
+ "linear": {
457
+ "r2": 0.8822,
458
+ "bic": -120.6,
459
+ "n_params": 2
460
+ },
461
+ "log": {
462
+ "r2": 0.9404,
463
+ "bic": -130.84,
464
+ "n_params": 2
465
+ },
466
+ "sigmoid": {
467
+ "r2": 0.9973,
468
+ "bic": -174.39,
469
+ "n_params": 3
470
+ },
471
+ "power": {
472
+ "r2": 0.9404,
473
+ "bic": -128.12,
474
+ "n_params": 3
475
+ }
476
+ },
477
+ "permutation_null": {
478
+ "obs_r2": 0.9973,
479
+ "null_mean": 0.0616,
480
+ "null_std": 0.1623,
481
+ "p_value": 0.0,
482
+ "n_perms": 1000
483
+ }
484
+ },
485
+ {
486
+ "pair": "resnet50 <-> resnet101",
487
+ "points": [
488
+ {
489
+ "level": 1.0,
490
+ "bitrate_a": 8.1057,
491
+ "bitrate_b": 8.594,
492
+ "delta": 0.4883,
493
+ "s_local": 0.3194,
494
+ "raw_overlap": 0.3208,
495
+ "tau": 1.0,
496
+ "perf_linear": 0.0963,
497
+ "perf_best": 0.0822,
498
+ "converged": true
499
+ },
500
+ {
501
+ "level": 0.9,
502
+ "bitrate_a": 8.0941,
503
+ "bitrate_b": 8.594,
504
+ "delta": 0.4999,
505
+ "s_local": 0.3194,
506
+ "raw_overlap": 0.3208,
507
+ "tau": 1.0,
508
+ "perf_linear": 0.0956,
509
+ "perf_best": 0.0794,
510
+ "converged": true
511
+ },
512
+ {
513
+ "level": 0.8,
514
+ "bitrate_a": 8.0666,
515
+ "bitrate_b": 8.594,
516
+ "delta": 0.5275,
517
+ "s_local": 0.3195,
518
+ "raw_overlap": 0.3208,
519
+ "tau": 1.0,
520
+ "perf_linear": 0.0973,
521
+ "perf_best": 0.0762,
522
+ "converged": true
523
+ },
524
+ {
525
+ "level": 0.7,
526
+ "bitrate_a": 8.0204,
527
+ "bitrate_b": 8.594,
528
+ "delta": 0.5736,
529
+ "s_local": 0.3195,
530
+ "raw_overlap": 0.3208,
531
+ "tau": 1.0,
532
+ "perf_linear": 0.0987,
533
+ "perf_best": 0.0749,
534
+ "converged": true
535
+ },
536
+ {
537
+ "level": 0.6,
538
+ "bitrate_a": 7.9502,
539
+ "bitrate_b": 8.594,
540
+ "delta": 0.6438,
541
+ "s_local": 0.3197,
542
+ "raw_overlap": 0.321,
543
+ "tau": 1.0,
544
+ "perf_linear": 0.1014,
545
+ "perf_best": 0.0769,
546
+ "converged": true
547
+ },
548
+ {
549
+ "level": 0.5,
550
+ "bitrate_a": 7.8477,
551
+ "bitrate_b": 8.594,
552
+ "delta": 0.7463,
553
+ "s_local": 0.3198,
554
+ "raw_overlap": 0.3211,
555
+ "tau": 1.0,
556
+ "perf_linear": 0.1058,
557
+ "perf_best": 0.0863,
558
+ "converged": true
559
+ },
560
+ {
561
+ "level": 0.4,
562
+ "bitrate_a": 7.6978,
563
+ "bitrate_b": 8.594,
564
+ "delta": 0.8962,
565
+ "s_local": 0.3204,
566
+ "raw_overlap": 0.3217,
567
+ "tau": 1.0,
568
+ "perf_linear": 0.1144,
569
+ "perf_best": 0.1028,
570
+ "converged": true
571
+ },
572
+ {
573
+ "level": 0.3,
574
+ "bitrate_a": 7.4759,
575
+ "bitrate_b": 8.594,
576
+ "delta": 1.1182,
577
+ "s_local": 0.3202,
578
+ "raw_overlap": 0.3215,
579
+ "tau": 1.0,
580
+ "perf_linear": 0.1316,
581
+ "perf_best": 0.1304,
582
+ "converged": true
583
+ },
584
+ {
585
+ "level": 0.25,
586
+ "bitrate_a": 7.3236,
587
+ "bitrate_b": 8.594,
588
+ "delta": 1.2704,
589
+ "s_local": 0.3202,
590
+ "raw_overlap": 0.3215,
591
+ "tau": 0.9843,
592
+ "perf_linear": 0.1444,
593
+ "perf_best": 0.1467,
594
+ "converged": true
595
+ },
596
+ {
597
+ "level": 0.2,
598
+ "bitrate_a": 7.1252,
599
+ "bitrate_b": 8.594,
600
+ "delta": 1.4688,
601
+ "s_local": 0.3194,
602
+ "raw_overlap": 0.3207,
603
+ "tau": 0.97,
604
+ "perf_linear": 0.1625,
605
+ "perf_best": 0.1675,
606
+ "converged": true
607
+ },
608
+ {
609
+ "level": 0.15,
610
+ "bitrate_a": 6.8601,
611
+ "bitrate_b": 8.594,
612
+ "delta": 1.7339,
613
+ "s_local": 0.3186,
614
+ "raw_overlap": 0.32,
615
+ "tau": 0.9906,
616
+ "perf_linear": 0.1845,
617
+ "perf_best": 0.1862,
618
+ "converged": true
619
+ },
620
+ {
621
+ "level": 0.1,
622
+ "bitrate_a": 6.4659,
623
+ "bitrate_b": 8.594,
624
+ "delta": 2.1281,
625
+ "s_local": 0.3136,
626
+ "raw_overlap": 0.315,
627
+ "tau": 1.0,
628
+ "perf_linear": 0.208,
629
+ "perf_best": 0.2058,
630
+ "converged": true
631
+ },
632
+ {
633
+ "level": 0.075,
634
+ "bitrate_a": 6.1795,
635
+ "bitrate_b": 8.594,
636
+ "delta": 2.4145,
637
+ "s_local": 0.3083,
638
+ "raw_overlap": 0.3096,
639
+ "tau": 1.0,
640
+ "perf_linear": 0.2163,
641
+ "perf_best": 0.216,
642
+ "converged": true
643
+ },
644
+ {
645
+ "level": 0.05,
646
+ "bitrate_a": 5.7653,
647
+ "bitrate_b": 8.594,
648
+ "delta": 2.8287,
649
+ "s_local": 0.2981,
650
+ "raw_overlap": 0.2995,
651
+ "tau": 0.9717,
652
+ "perf_linear": 0.2165,
653
+ "perf_best": 0.2228,
654
+ "converged": true
655
+ },
656
+ {
657
+ "level": 0.025,
658
+ "bitrate_a": 5.0329,
659
+ "bitrate_b": 8.594,
660
+ "delta": 3.5611,
661
+ "s_local": 0.2678,
662
+ "raw_overlap": 0.2693,
663
+ "tau": 0.8317,
664
+ "perf_linear": 0.1929,
665
+ "perf_best": 0.232,
666
+ "converged": true
667
+ }
668
+ ],
669
+ "sigmoid_fit_alignment": {
670
+ "s_max": 0.3213,
671
+ "kappa": 1.4163,
672
+ "r0": 3.9041,
673
+ "r2_fit": 0.9935,
674
+ "r_crit": 3.9041,
675
+ "r_sat": 5.4555
676
+ },
677
+ "sigmoid_fit_transport": {
678
+ "s_max": 1.441,
679
+ "kappa": 0.1064,
680
+ "r0": 0.0,
681
+ "r2_fit": 0.5102,
682
+ "r_crit": 0.0,
683
+ "r_sat": 20.6564
684
+ },
685
+ "model_comparison": {
686
+ "linear": {
687
+ "r2": 0.7186,
688
+ "bic": -142.56,
689
+ "n_params": 2
690
+ },
691
+ "log": {
692
+ "r2": 0.778,
693
+ "bic": -146.11,
694
+ "n_params": 2
695
+ },
696
+ "sigmoid": {
697
+ "r2": 0.9935,
698
+ "bic": -196.4,
699
+ "n_params": 3
700
+ },
701
+ "power": {
702
+ "r2": 0.7779,
703
+ "bic": -143.4,
704
+ "n_params": 3
705
+ }
706
+ },
707
+ "permutation_null": {
708
+ "obs_r2": 0.9935,
709
+ "null_mean": 0.04,
710
+ "null_std": 0.096,
711
+ "p_value": 0.0,
712
+ "n_perms": 1000
713
+ }
714
+ },
715
+ {
716
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
717
+ "points": [
718
+ {
719
+ "level": 1.0,
720
+ "bitrate_a": 8.9635,
721
+ "bitrate_b": 6.5546,
722
+ "delta": 2.4089,
723
+ "s_local": 0.0723,
724
+ "raw_overlap": 0.0741,
725
+ "tau": 0.088,
726
+ "perf_linear": 0.0016,
727
+ "perf_best": 0.0187,
728
+ "converged": true
729
+ },
730
+ {
731
+ "level": 0.9,
732
+ "bitrate_a": 8.8995,
733
+ "bitrate_b": 6.5546,
734
+ "delta": 2.3449,
735
+ "s_local": 0.0723,
736
+ "raw_overlap": 0.0742,
737
+ "tau": 0.0959,
738
+ "perf_linear": 0.0017,
739
+ "perf_best": 0.0173,
740
+ "converged": true
741
+ },
742
+ {
743
+ "level": 0.8,
744
+ "bitrate_a": 8.8083,
745
+ "bitrate_b": 6.5546,
746
+ "delta": 2.2537,
747
+ "s_local": 0.0724,
748
+ "raw_overlap": 0.0743,
749
+ "tau": 0.1071,
750
+ "perf_linear": 0.0017,
751
+ "perf_best": 0.0157,
752
+ "converged": true
753
+ },
754
+ {
755
+ "level": 0.7,
756
+ "bitrate_a": 8.6898,
757
+ "bitrate_b": 6.5546,
758
+ "delta": 2.1352,
759
+ "s_local": 0.0726,
760
+ "raw_overlap": 0.0744,
761
+ "tau": 0.0995,
762
+ "perf_linear": 0.0017,
763
+ "perf_best": 0.0168,
764
+ "converged": true
765
+ },
766
+ {
767
+ "level": 0.6,
768
+ "bitrate_a": 8.541,
769
+ "bitrate_b": 6.5546,
770
+ "delta": 1.9864,
771
+ "s_local": 0.0725,
772
+ "raw_overlap": 0.0744,
773
+ "tau": 0.072,
774
+ "perf_linear": 0.0017,
775
+ "perf_best": 0.0235,
776
+ "converged": true
777
+ },
778
+ {
779
+ "level": 0.5,
780
+ "bitrate_a": 8.3523,
781
+ "bitrate_b": 6.5546,
782
+ "delta": 1.7977,
783
+ "s_local": 0.0724,
784
+ "raw_overlap": 0.0743,
785
+ "tau": 0.0545,
786
+ "perf_linear": 0.0017,
787
+ "perf_best": 0.0318,
788
+ "converged": true
789
+ },
790
+ {
791
+ "level": 0.4,
792
+ "bitrate_a": 8.1055,
793
+ "bitrate_b": 6.5546,
794
+ "delta": 1.5509,
795
+ "s_local": 0.0725,
796
+ "raw_overlap": 0.0744,
797
+ "tau": 0.0395,
798
+ "perf_linear": 0.0018,
799
+ "perf_best": 0.0464,
800
+ "converged": true
801
+ },
802
+ {
803
+ "level": 0.3,
804
+ "bitrate_a": 7.7771,
805
+ "bitrate_b": 6.5546,
806
+ "delta": 1.2225,
807
+ "s_local": 0.0723,
808
+ "raw_overlap": 0.0742,
809
+ "tau": 0.0319,
810
+ "perf_linear": 0.0021,
811
+ "perf_best": 0.0652,
812
+ "converged": true
813
+ },
814
+ {
815
+ "level": 0.25,
816
+ "bitrate_a": 7.5638,
817
+ "bitrate_b": 6.5546,
818
+ "delta": 1.0092,
819
+ "s_local": 0.0724,
820
+ "raw_overlap": 0.0743,
821
+ "tau": 0.029,
822
+ "perf_linear": 0.0021,
823
+ "perf_best": 0.0739,
824
+ "converged": true
825
+ },
826
+ {
827
+ "level": 0.2,
828
+ "bitrate_a": 7.2937,
829
+ "bitrate_b": 6.5546,
830
+ "delta": 0.7391,
831
+ "s_local": 0.0721,
832
+ "raw_overlap": 0.0739,
833
+ "tau": 0.0303,
834
+ "perf_linear": 0.0026,
835
+ "perf_best": 0.086,
836
+ "converged": true
837
+ },
838
+ {
839
+ "level": 0.15,
840
+ "bitrate_a": 6.9465,
841
+ "bitrate_b": 6.5546,
842
+ "delta": 0.3919,
843
+ "s_local": 0.072,
844
+ "raw_overlap": 0.0739,
845
+ "tau": 0.0341,
846
+ "perf_linear": 0.0032,
847
+ "perf_best": 0.0945,
848
+ "converged": true
849
+ },
850
+ {
851
+ "level": 0.1,
852
+ "bitrate_a": 6.4444,
853
+ "bitrate_b": 6.5546,
854
+ "delta": 0.1102,
855
+ "s_local": 0.0708,
856
+ "raw_overlap": 0.0727,
857
+ "tau": 0.0502,
858
+ "perf_linear": 0.0047,
859
+ "perf_best": 0.0931,
860
+ "converged": true
861
+ },
862
+ {
863
+ "level": 0.075,
864
+ "bitrate_a": 6.0626,
865
+ "bitrate_b": 6.5546,
866
+ "delta": 0.492,
867
+ "s_local": 0.0688,
868
+ "raw_overlap": 0.0706,
869
+ "tau": 0.0683,
870
+ "perf_linear": 0.0072,
871
+ "perf_best": 0.1048,
872
+ "converged": true
873
+ },
874
+ {
875
+ "level": 0.05,
876
+ "bitrate_a": 5.5237,
877
+ "bitrate_b": 6.5546,
878
+ "delta": 1.031,
879
+ "s_local": 0.0668,
880
+ "raw_overlap": 0.0686,
881
+ "tau": 0.107,
882
+ "perf_linear": 0.0126,
883
+ "perf_best": 0.118,
884
+ "converged": true
885
+ },
886
+ {
887
+ "level": 0.025,
888
+ "bitrate_a": 4.5273,
889
+ "bitrate_b": 6.5546,
890
+ "delta": 2.0273,
891
+ "s_local": 0.0617,
892
+ "raw_overlap": 0.0636,
893
+ "tau": 0.2136,
894
+ "perf_linear": 0.0317,
895
+ "perf_best": 0.1484,
896
+ "converged": true
897
+ }
898
+ ],
899
+ "sigmoid_fit_alignment": {
900
+ "s_max": 0.1105,
901
+ "kappa": 0.0781,
902
+ "r0": 0.0,
903
+ "r2_fit": 0.7655,
904
+ "r_crit": 0.0,
905
+ "r_sat": 28.1191
906
+ },
907
+ "sigmoid_fit_transport": {
908
+ "s_max": 0.1495,
909
+ "kappa": 0.0,
910
+ "r0": 12.2708,
911
+ "r2_fit": -0.0,
912
+ "r_crit": 12.2708,
913
+ "r_sat": 2197236.8481
914
+ },
915
+ "model_comparison": {
916
+ "linear": {
917
+ "r2": 0.7548,
918
+ "bic": -190.61,
919
+ "n_params": 2
920
+ },
921
+ "log": {
922
+ "r2": 0.8337,
923
+ "bic": -196.43,
924
+ "n_params": 2
925
+ },
926
+ "sigmoid": {
927
+ "r2": 0.7655,
928
+ "bic": -188.57,
929
+ "n_params": 3
930
+ },
931
+ "power": {
932
+ "r2": 0.8336,
933
+ "bic": -193.72,
934
+ "n_params": 3
935
+ }
936
+ },
937
+ "permutation_null": {
938
+ "obs_r2": 0.7655,
939
+ "null_mean": 0.0366,
940
+ "null_std": 0.0818,
941
+ "p_value": 0.0,
942
+ "n_perms": 1000
943
+ }
944
+ },
945
+ {
946
+ "pair": "vit_base_patch16_224 <-> resnet50",
947
+ "points": [
948
+ {
949
+ "level": 1.0,
950
+ "bitrate_a": 7.7697,
951
+ "bitrate_b": 8.1049,
952
+ "delta": 0.3352,
953
+ "s_local": 0.2137,
954
+ "raw_overlap": 0.2153,
955
+ "tau": 0.2532,
956
+ "perf_linear": 0.022,
957
+ "perf_best": 0.0867,
958
+ "converged": true
959
+ },
960
+ {
961
+ "level": 0.9,
962
+ "bitrate_a": 7.7348,
963
+ "bitrate_b": 8.1049,
964
+ "delta": 0.37,
965
+ "s_local": 0.2138,
966
+ "raw_overlap": 0.2154,
967
+ "tau": 0.2547,
968
+ "perf_linear": 0.0219,
969
+ "perf_best": 0.0859,
970
+ "converged": true
971
+ },
972
+ {
973
+ "level": 0.8,
974
+ "bitrate_a": 7.6819,
975
+ "bitrate_b": 8.1049,
976
+ "delta": 0.423,
977
+ "s_local": 0.2139,
978
+ "raw_overlap": 0.2155,
979
+ "tau": 0.2518,
980
+ "perf_linear": 0.022,
981
+ "perf_best": 0.0872,
982
+ "converged": true
983
+ },
984
+ {
985
+ "level": 0.7,
986
+ "bitrate_a": 7.6091,
987
+ "bitrate_b": 8.1049,
988
+ "delta": 0.4958,
989
+ "s_local": 0.2139,
990
+ "raw_overlap": 0.2155,
991
+ "tau": 0.2434,
992
+ "perf_linear": 0.0219,
993
+ "perf_best": 0.0901,
994
+ "converged": true
995
+ },
996
+ {
997
+ "level": 0.6,
998
+ "bitrate_a": 7.5099,
999
+ "bitrate_b": 8.1049,
1000
+ "delta": 0.595,
1001
+ "s_local": 0.2141,
1002
+ "raw_overlap": 0.2156,
1003
+ "tau": 0.2349,
1004
+ "perf_linear": 0.0221,
1005
+ "perf_best": 0.0943,
1006
+ "converged": true
1007
+ },
1008
+ {
1009
+ "level": 0.5,
1010
+ "bitrate_a": 7.3755,
1011
+ "bitrate_b": 8.1049,
1012
+ "delta": 0.7294,
1013
+ "s_local": 0.2143,
1014
+ "raw_overlap": 0.2159,
1015
+ "tau": 0.2272,
1016
+ "perf_linear": 0.0227,
1017
+ "perf_best": 0.0998,
1018
+ "converged": true
1019
+ },
1020
+ {
1021
+ "level": 0.4,
1022
+ "bitrate_a": 7.1838,
1023
+ "bitrate_b": 8.1049,
1024
+ "delta": 0.921,
1025
+ "s_local": 0.2135,
1026
+ "raw_overlap": 0.2151,
1027
+ "tau": 0.223,
1028
+ "perf_linear": 0.0238,
1029
+ "perf_best": 0.1069,
1030
+ "converged": true
1031
+ },
1032
+ {
1033
+ "level": 0.3,
1034
+ "bitrate_a": 6.9053,
1035
+ "bitrate_b": 8.1049,
1036
+ "delta": 1.1996,
1037
+ "s_local": 0.2131,
1038
+ "raw_overlap": 0.2146,
1039
+ "tau": 0.2346,
1040
+ "perf_linear": 0.0268,
1041
+ "perf_best": 0.1143,
1042
+ "converged": true
1043
+ },
1044
+ {
1045
+ "level": 0.25,
1046
+ "bitrate_a": 6.717,
1047
+ "bitrate_b": 8.1049,
1048
+ "delta": 1.3879,
1049
+ "s_local": 0.2123,
1050
+ "raw_overlap": 0.2139,
1051
+ "tau": 0.253,
1052
+ "perf_linear": 0.03,
1053
+ "perf_best": 0.1185,
1054
+ "converged": true
1055
+ },
1056
+ {
1057
+ "level": 0.2,
1058
+ "bitrate_a": 6.4691,
1059
+ "bitrate_b": 8.1049,
1060
+ "delta": 1.6358,
1061
+ "s_local": 0.2099,
1062
+ "raw_overlap": 0.2115,
1063
+ "tau": 0.2918,
1064
+ "perf_linear": 0.0355,
1065
+ "perf_best": 0.1216,
1066
+ "converged": true
1067
+ },
1068
+ {
1069
+ "level": 0.15,
1070
+ "bitrate_a": 6.1436,
1071
+ "bitrate_b": 8.1049,
1072
+ "delta": 1.9613,
1073
+ "s_local": 0.2053,
1074
+ "raw_overlap": 0.2069,
1075
+ "tau": 0.3617,
1076
+ "perf_linear": 0.0447,
1077
+ "perf_best": 0.1236,
1078
+ "converged": true
1079
+ },
1080
+ {
1081
+ "level": 0.1,
1082
+ "bitrate_a": 5.6508,
1083
+ "bitrate_b": 8.1049,
1084
+ "delta": 2.4541,
1085
+ "s_local": 0.1987,
1086
+ "raw_overlap": 0.2003,
1087
+ "tau": 0.4767,
1088
+ "perf_linear": 0.0599,
1089
+ "perf_best": 0.1256,
1090
+ "converged": true
1091
+ },
1092
+ {
1093
+ "level": 0.075,
1094
+ "bitrate_a": 5.2983,
1095
+ "bitrate_b": 8.1049,
1096
+ "delta": 2.8066,
1097
+ "s_local": 0.1907,
1098
+ "raw_overlap": 0.1923,
1099
+ "tau": 0.5571,
1100
+ "perf_linear": 0.0709,
1101
+ "perf_best": 0.1273,
1102
+ "converged": true
1103
+ },
1104
+ {
1105
+ "level": 0.05,
1106
+ "bitrate_a": 4.7904,
1107
+ "bitrate_b": 8.1049,
1108
+ "delta": 3.3144,
1109
+ "s_local": 0.1753,
1110
+ "raw_overlap": 0.1769,
1111
+ "tau": 0.6321,
1112
+ "perf_linear": 0.0846,
1113
+ "perf_best": 0.1339,
1114
+ "converged": true
1115
+ },
1116
+ {
1117
+ "level": 0.025,
1118
+ "bitrate_a": 3.9099,
1119
+ "bitrate_b": 8.1049,
1120
+ "delta": 4.1949,
1121
+ "s_local": 0.1393,
1122
+ "raw_overlap": 0.141,
1123
+ "tau": 0.6139,
1124
+ "perf_linear": 0.0908,
1125
+ "perf_best": 0.148,
1126
+ "converged": true
1127
+ }
1128
+ ],
1129
+ "sigmoid_fit_alignment": {
1130
+ "s_max": 0.2173,
1131
+ "kappa": 1.0261,
1132
+ "r0": 3.3571,
1133
+ "r2_fit": 0.9978,
1134
+ "r_crit": 3.3571,
1135
+ "r_sat": 5.4985
1136
+ },
1137
+ "sigmoid_fit_transport": {
1138
+ "s_max": 0.6812,
1139
+ "kappa": 0.0,
1140
+ "r0": 12.9046,
1141
+ "r2_fit": -0.0,
1142
+ "r_crit": 12.9046,
1143
+ "r_sat": 2197237.4819
1144
+ },
1145
+ "model_comparison": {
1146
+ "linear": {
1147
+ "r2": 0.8227,
1148
+ "bic": -137.73,
1149
+ "n_params": 2
1150
+ },
1151
+ "log": {
1152
+ "r2": 0.8912,
1153
+ "bic": -145.06,
1154
+ "n_params": 2
1155
+ },
1156
+ "sigmoid": {
1157
+ "r2": 0.9978,
1158
+ "bic": -200.97,
1159
+ "n_params": 3
1160
+ },
1161
+ "power": {
1162
+ "r2": 0.8912,
1163
+ "bic": -142.34,
1164
+ "n_params": 3
1165
+ }
1166
+ },
1167
+ "permutation_null": {
1168
+ "obs_r2": 0.9978,
1169
+ "null_mean": 0.0599,
1170
+ "null_std": 0.1653,
1171
+ "p_value": 0.0,
1172
+ "n_perms": 1000
1173
+ }
1174
+ },
1175
+ {
1176
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
1177
+ "points": [
1178
+ {
1179
+ "level": 1.0,
1180
+ "bitrate_a": 8.6006,
1181
+ "bitrate_b": 6.8408,
1182
+ "delta": 1.7598,
1183
+ "s_local": 0.2241,
1184
+ "raw_overlap": 0.2256,
1185
+ "tau": 0.0448,
1186
+ "perf_linear": 0.0079,
1187
+ "perf_best": 0.1767,
1188
+ "converged": true
1189
+ },
1190
+ {
1191
+ "level": 0.9,
1192
+ "bitrate_a": 8.5341,
1193
+ "bitrate_b": 6.8408,
1194
+ "delta": 1.6933,
1195
+ "s_local": 0.2241,
1196
+ "raw_overlap": 0.2256,
1197
+ "tau": 0.0435,
1198
+ "perf_linear": 0.0077,
1199
+ "perf_best": 0.1771,
1200
+ "converged": true
1201
+ },
1202
+ {
1203
+ "level": 0.8,
1204
+ "bitrate_a": 8.4371,
1205
+ "bitrate_b": 6.8408,
1206
+ "delta": 1.5963,
1207
+ "s_local": 0.2245,
1208
+ "raw_overlap": 0.226,
1209
+ "tau": 0.0385,
1210
+ "perf_linear": 0.0074,
1211
+ "perf_best": 0.1927,
1212
+ "converged": true
1213
+ },
1214
+ {
1215
+ "level": 0.7,
1216
+ "bitrate_a": 8.3134,
1217
+ "bitrate_b": 6.8408,
1218
+ "delta": 1.4726,
1219
+ "s_local": 0.2242,
1220
+ "raw_overlap": 0.2257,
1221
+ "tau": 0.0316,
1222
+ "perf_linear": 0.0069,
1223
+ "perf_best": 0.2196,
1224
+ "converged": true
1225
+ },
1226
+ {
1227
+ "level": 0.6,
1228
+ "bitrate_a": 8.1581,
1229
+ "bitrate_b": 6.8408,
1230
+ "delta": 1.3173,
1231
+ "s_local": 0.224,
1232
+ "raw_overlap": 0.2255,
1233
+ "tau": 0.0285,
1234
+ "perf_linear": 0.0069,
1235
+ "perf_best": 0.241,
1236
+ "converged": true
1237
+ },
1238
+ {
1239
+ "level": 0.5,
1240
+ "bitrate_a": 7.9645,
1241
+ "bitrate_b": 6.8408,
1242
+ "delta": 1.1237,
1243
+ "s_local": 0.2241,
1244
+ "raw_overlap": 0.2256,
1245
+ "tau": 0.0262,
1246
+ "perf_linear": 0.007,
1247
+ "perf_best": 0.2682,
1248
+ "converged": true
1249
+ },
1250
+ {
1251
+ "level": 0.4,
1252
+ "bitrate_a": 7.7119,
1253
+ "bitrate_b": 6.8408,
1254
+ "delta": 0.871,
1255
+ "s_local": 0.2241,
1256
+ "raw_overlap": 0.2256,
1257
+ "tau": 0.0237,
1258
+ "perf_linear": 0.007,
1259
+ "perf_best": 0.2939,
1260
+ "converged": true
1261
+ },
1262
+ {
1263
+ "level": 0.3,
1264
+ "bitrate_a": 7.3726,
1265
+ "bitrate_b": 6.8408,
1266
+ "delta": 0.5317,
1267
+ "s_local": 0.2224,
1268
+ "raw_overlap": 0.224,
1269
+ "tau": 0.023,
1270
+ "perf_linear": 0.0073,
1271
+ "perf_best": 0.3172,
1272
+ "converged": true
1273
+ },
1274
+ {
1275
+ "level": 0.25,
1276
+ "bitrate_a": 7.1548,
1277
+ "bitrate_b": 6.8408,
1278
+ "delta": 0.3139,
1279
+ "s_local": 0.222,
1280
+ "raw_overlap": 0.2235,
1281
+ "tau": 0.0227,
1282
+ "perf_linear": 0.0075,
1283
+ "perf_best": 0.3322,
1284
+ "converged": true
1285
+ },
1286
+ {
1287
+ "level": 0.2,
1288
+ "bitrate_a": 6.8772,
1289
+ "bitrate_b": 6.8408,
1290
+ "delta": 0.0363,
1291
+ "s_local": 0.2203,
1292
+ "raw_overlap": 0.2219,
1293
+ "tau": 0.0235,
1294
+ "perf_linear": 0.008,
1295
+ "perf_best": 0.3395,
1296
+ "converged": true
1297
+ },
1298
+ {
1299
+ "level": 0.15,
1300
+ "bitrate_a": 6.5202,
1301
+ "bitrate_b": 6.8408,
1302
+ "delta": 0.3207,
1303
+ "s_local": 0.2162,
1304
+ "raw_overlap": 0.2178,
1305
+ "tau": 0.0252,
1306
+ "perf_linear": 0.0088,
1307
+ "perf_best": 0.3498,
1308
+ "converged": true
1309
+ },
1310
+ {
1311
+ "level": 0.1,
1312
+ "bitrate_a": 5.9854,
1313
+ "bitrate_b": 6.8408,
1314
+ "delta": 0.8554,
1315
+ "s_local": 0.2102,
1316
+ "raw_overlap": 0.2117,
1317
+ "tau": 0.029,
1318
+ "perf_linear": 0.0103,
1319
+ "perf_best": 0.3543,
1320
+ "converged": true
1321
+ },
1322
+ {
1323
+ "level": 0.075,
1324
+ "bitrate_a": 5.6014,
1325
+ "bitrate_b": 6.8408,
1326
+ "delta": 1.2395,
1327
+ "s_local": 0.2045,
1328
+ "raw_overlap": 0.206,
1329
+ "tau": 0.0355,
1330
+ "perf_linear": 0.0126,
1331
+ "perf_best": 0.3555,
1332
+ "converged": true
1333
+ },
1334
+ {
1335
+ "level": 0.05,
1336
+ "bitrate_a": 5.0503,
1337
+ "bitrate_b": 6.8408,
1338
+ "delta": 1.7906,
1339
+ "s_local": 0.195,
1340
+ "raw_overlap": 0.1965,
1341
+ "tau": 0.0476,
1342
+ "perf_linear": 0.0168,
1343
+ "perf_best": 0.3523,
1344
+ "converged": true
1345
+ },
1346
+ {
1347
+ "level": 0.025,
1348
+ "bitrate_a": 4.0956,
1349
+ "bitrate_b": 6.8408,
1350
+ "delta": 2.7453,
1351
+ "s_local": 0.1684,
1352
+ "raw_overlap": 0.17,
1353
+ "tau": 0.1214,
1354
+ "perf_linear": 0.04,
1355
+ "perf_best": 0.3291,
1356
+ "converged": true
1357
+ }
1358
+ ],
1359
+ "sigmoid_fit_alignment": {
1360
+ "s_max": 0.2274,
1361
+ "kappa": 0.7982,
1362
+ "r0": 2.7916,
1363
+ "r2_fit": 0.9971,
1364
+ "r_crit": 2.7916,
1365
+ "r_sat": 5.5443
1366
+ },
1367
+ "sigmoid_fit_transport": {
1368
+ "s_max": 0.0753,
1369
+ "kappa": 0.0,
1370
+ "r0": 10.1058,
1371
+ "r2_fit": -0.0,
1372
+ "r_crit": 10.1058,
1373
+ "r_sat": 2197234.6832
1374
+ },
1375
+ "model_comparison": {
1376
+ "linear": {
1377
+ "r2": 0.8252,
1378
+ "bic": -146.52,
1379
+ "n_params": 2
1380
+ },
1381
+ "log": {
1382
+ "r2": 0.8984,
1383
+ "bic": -154.66,
1384
+ "n_params": 2
1385
+ },
1386
+ "sigmoid": {
1387
+ "r2": 0.9971,
1388
+ "bic": -205.21,
1389
+ "n_params": 3
1390
+ },
1391
+ "power": {
1392
+ "r2": 0.8984,
1393
+ "bic": -151.95,
1394
+ "n_params": 3
1395
+ }
1396
+ },
1397
+ "permutation_null": {
1398
+ "obs_r2": 0.9971,
1399
+ "null_mean": 0.038,
1400
+ "null_std": 0.0929,
1401
+ "p_value": 0.0,
1402
+ "n_perms": 1000
1403
+ }
1404
+ },
1405
+ {
1406
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
1407
+ "points": [
1408
+ {
1409
+ "level": 1.0,
1410
+ "bitrate_a": 1.6488,
1411
+ "bitrate_b": 7.7695,
1412
+ "delta": 6.1207,
1413
+ "s_local": 0.0265,
1414
+ "raw_overlap": 0.0285,
1415
+ "tau": 0.1959,
1416
+ "perf_linear": 0.0275,
1417
+ "perf_best": 0.1402,
1418
+ "converged": true
1419
+ },
1420
+ {
1421
+ "level": 0.9,
1422
+ "bitrate_a": 1.6485,
1423
+ "bitrate_b": 7.7695,
1424
+ "delta": 6.1211,
1425
+ "s_local": 0.0265,
1426
+ "raw_overlap": 0.0285,
1427
+ "tau": 0.1969,
1428
+ "perf_linear": 0.0274,
1429
+ "perf_best": 0.1394,
1430
+ "converged": true
1431
+ },
1432
+ {
1433
+ "level": 0.8,
1434
+ "bitrate_a": 1.6476,
1435
+ "bitrate_b": 7.7695,
1436
+ "delta": 6.1219,
1437
+ "s_local": 0.0266,
1438
+ "raw_overlap": 0.0285,
1439
+ "tau": 0.2019,
1440
+ "perf_linear": 0.0274,
1441
+ "perf_best": 0.136,
1442
+ "converged": true
1443
+ },
1444
+ {
1445
+ "level": 0.7,
1446
+ "bitrate_a": 1.6462,
1447
+ "bitrate_b": 7.7695,
1448
+ "delta": 6.1233,
1449
+ "s_local": 0.0265,
1450
+ "raw_overlap": 0.0285,
1451
+ "tau": 0.2035,
1452
+ "perf_linear": 0.0274,
1453
+ "perf_best": 0.1348,
1454
+ "converged": true
1455
+ },
1456
+ {
1457
+ "level": 0.6,
1458
+ "bitrate_a": 1.6439,
1459
+ "bitrate_b": 7.7695,
1460
+ "delta": 6.1256,
1461
+ "s_local": 0.0265,
1462
+ "raw_overlap": 0.0284,
1463
+ "tau": 0.2101,
1464
+ "perf_linear": 0.0274,
1465
+ "perf_best": 0.1304,
1466
+ "converged": true
1467
+ },
1468
+ {
1469
+ "level": 0.5,
1470
+ "bitrate_a": 1.6404,
1471
+ "bitrate_b": 7.7695,
1472
+ "delta": 6.1291,
1473
+ "s_local": 0.0265,
1474
+ "raw_overlap": 0.0284,
1475
+ "tau": 0.2072,
1476
+ "perf_linear": 0.0273,
1477
+ "perf_best": 0.1318,
1478
+ "converged": true
1479
+ },
1480
+ {
1481
+ "level": 0.4,
1482
+ "bitrate_a": 1.6346,
1483
+ "bitrate_b": 7.7695,
1484
+ "delta": 6.1349,
1485
+ "s_local": 0.0264,
1486
+ "raw_overlap": 0.0284,
1487
+ "tau": 0.2047,
1488
+ "perf_linear": 0.0271,
1489
+ "perf_best": 0.1322,
1490
+ "converged": true
1491
+ },
1492
+ {
1493
+ "level": 0.3,
1494
+ "bitrate_a": 1.6247,
1495
+ "bitrate_b": 7.7695,
1496
+ "delta": 6.1449,
1497
+ "s_local": 0.0266,
1498
+ "raw_overlap": 0.0285,
1499
+ "tau": 0.1873,
1500
+ "perf_linear": 0.0266,
1501
+ "perf_best": 0.1422,
1502
+ "converged": true
1503
+ },
1504
+ {
1505
+ "level": 0.25,
1506
+ "bitrate_a": 1.617,
1507
+ "bitrate_b": 7.7695,
1508
+ "delta": 6.1525,
1509
+ "s_local": 0.0265,
1510
+ "raw_overlap": 0.0284,
1511
+ "tau": 0.1751,
1512
+ "perf_linear": 0.0263,
1513
+ "perf_best": 0.1499,
1514
+ "converged": true
1515
+ },
1516
+ {
1517
+ "level": 0.2,
1518
+ "bitrate_a": 1.606,
1519
+ "bitrate_b": 7.7695,
1520
+ "delta": 6.1635,
1521
+ "s_local": 0.0264,
1522
+ "raw_overlap": 0.0283,
1523
+ "tau": 0.163,
1524
+ "perf_linear": 0.0256,
1525
+ "perf_best": 0.1572,
1526
+ "converged": true
1527
+ },
1528
+ {
1529
+ "level": 0.15,
1530
+ "bitrate_a": 1.5899,
1531
+ "bitrate_b": 7.7695,
1532
+ "delta": 6.1796,
1533
+ "s_local": 0.0262,
1534
+ "raw_overlap": 0.0281,
1535
+ "tau": 0.1519,
1536
+ "perf_linear": 0.0247,
1537
+ "perf_best": 0.1623,
1538
+ "converged": true
1539
+ },
1540
+ {
1541
+ "level": 0.1,
1542
+ "bitrate_a": 1.5627,
1543
+ "bitrate_b": 7.7695,
1544
+ "delta": 6.2068,
1545
+ "s_local": 0.0255,
1546
+ "raw_overlap": 0.0274,
1547
+ "tau": 0.1335,
1548
+ "perf_linear": 0.0228,
1549
+ "perf_best": 0.171,
1550
+ "converged": true
1551
+ },
1552
+ {
1553
+ "level": 0.075,
1554
+ "bitrate_a": 1.5407,
1555
+ "bitrate_b": 7.7695,
1556
+ "delta": 6.2288,
1557
+ "s_local": 0.0254,
1558
+ "raw_overlap": 0.0273,
1559
+ "tau": 0.1239,
1560
+ "perf_linear": 0.0214,
1561
+ "perf_best": 0.1726,
1562
+ "converged": true
1563
+ },
1564
+ {
1565
+ "level": 0.05,
1566
+ "bitrate_a": 1.5058,
1567
+ "bitrate_b": 7.7695,
1568
+ "delta": 6.2637,
1569
+ "s_local": 0.0249,
1570
+ "raw_overlap": 0.0268,
1571
+ "tau": 0.1077,
1572
+ "perf_linear": 0.0188,
1573
+ "perf_best": 0.1748,
1574
+ "converged": true
1575
+ },
1576
+ {
1577
+ "level": 0.025,
1578
+ "bitrate_a": 1.4347,
1579
+ "bitrate_b": 7.7695,
1580
+ "delta": 6.3348,
1581
+ "s_local": 0.0226,
1582
+ "raw_overlap": 0.0246,
1583
+ "tau": 0.0864,
1584
+ "perf_linear": 0.0144,
1585
+ "perf_best": 0.1662,
1586
+ "converged": true
1587
+ }
1588
+ ],
1589
+ "sigmoid_fit_alignment": {
1590
+ "s_max": 0.0271,
1591
+ "kappa": 10.5506,
1592
+ "r0": 1.282,
1593
+ "r2_fit": 0.9871,
1594
+ "r_crit": 1.282,
1595
+ "r_sat": 1.4903
1596
+ },
1597
+ "sigmoid_fit_transport": {
1598
+ "s_max": 1.0505,
1599
+ "kappa": 5.2553,
1600
+ "r0": 1.9189,
1601
+ "r2_fit": 0.9679,
1602
+ "r_crit": 1.9189,
1603
+ "r_sat": 2.337
1604
+ },
1605
+ "model_comparison": {
1606
+ "linear": {
1607
+ "r2": 0.9057,
1608
+ "bic": -236.32,
1609
+ "n_params": 2
1610
+ },
1611
+ "log": {
1612
+ "r2": 0.9166,
1613
+ "bic": -238.16,
1614
+ "n_params": 2
1615
+ },
1616
+ "sigmoid": {
1617
+ "r2": 0.9871,
1618
+ "bic": -263.43,
1619
+ "n_params": 3
1620
+ },
1621
+ "power": {
1622
+ "r2": 0.9166,
1623
+ "bic": -235.45,
1624
+ "n_params": 3
1625
+ }
1626
+ },
1627
+ "permutation_null": {
1628
+ "obs_r2": 0.9871,
1629
+ "null_mean": 0.0635,
1630
+ "null_std": 0.1843,
1631
+ "p_value": 0.0,
1632
+ "n_perms": 1000
1633
+ }
1634
+ },
1635
+ {
1636
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
1637
+ "points": [
1638
+ {
1639
+ "level": 1.0,
1640
+ "bitrate_a": 7.7518,
1641
+ "bitrate_b": 9.0547,
1642
+ "delta": 1.3029,
1643
+ "s_local": 0.344,
1644
+ "raw_overlap": 0.3453,
1645
+ "tau": 0.0993,
1646
+ "perf_linear": 0.022,
1647
+ "perf_best": 0.2217,
1648
+ "converged": true
1649
+ },
1650
+ {
1651
+ "level": 0.9,
1652
+ "bitrate_a": 7.6896,
1653
+ "bitrate_b": 9.0547,
1654
+ "delta": 1.3651,
1655
+ "s_local": 0.3445,
1656
+ "raw_overlap": 0.3458,
1657
+ "tau": 0.1032,
1658
+ "perf_linear": 0.0234,
1659
+ "perf_best": 0.2272,
1660
+ "converged": true
1661
+ },
1662
+ {
1663
+ "level": 0.8,
1664
+ "bitrate_a": 7.5936,
1665
+ "bitrate_b": 9.0547,
1666
+ "delta": 1.4611,
1667
+ "s_local": 0.3444,
1668
+ "raw_overlap": 0.3457,
1669
+ "tau": 0.1114,
1670
+ "perf_linear": 0.0262,
1671
+ "perf_best": 0.2352,
1672
+ "converged": true
1673
+ },
1674
+ {
1675
+ "level": 0.7,
1676
+ "bitrate_a": 7.4657,
1677
+ "bitrate_b": 9.0547,
1678
+ "delta": 1.589,
1679
+ "s_local": 0.3446,
1680
+ "raw_overlap": 0.3459,
1681
+ "tau": 0.1254,
1682
+ "perf_linear": 0.0309,
1683
+ "perf_best": 0.2461,
1684
+ "converged": true
1685
+ },
1686
+ {
1687
+ "level": 0.6,
1688
+ "bitrate_a": 7.3078,
1689
+ "bitrate_b": 9.0547,
1690
+ "delta": 1.7469,
1691
+ "s_local": 0.3451,
1692
+ "raw_overlap": 0.3464,
1693
+ "tau": 0.1476,
1694
+ "perf_linear": 0.0377,
1695
+ "perf_best": 0.2554,
1696
+ "converged": true
1697
+ },
1698
+ {
1699
+ "level": 0.5,
1700
+ "bitrate_a": 7.1077,
1701
+ "bitrate_b": 9.0547,
1702
+ "delta": 1.947,
1703
+ "s_local": 0.3436,
1704
+ "raw_overlap": 0.3449,
1705
+ "tau": 0.1796,
1706
+ "perf_linear": 0.0472,
1707
+ "perf_best": 0.263,
1708
+ "converged": true
1709
+ },
1710
+ {
1711
+ "level": 0.4,
1712
+ "bitrate_a": 6.8412,
1713
+ "bitrate_b": 9.0547,
1714
+ "delta": 2.2135,
1715
+ "s_local": 0.3421,
1716
+ "raw_overlap": 0.3434,
1717
+ "tau": 0.2195,
1718
+ "perf_linear": 0.0602,
1719
+ "perf_best": 0.2742,
1720
+ "converged": true
1721
+ },
1722
+ {
1723
+ "level": 0.3,
1724
+ "bitrate_a": 6.4908,
1725
+ "bitrate_b": 9.0547,
1726
+ "delta": 2.5639,
1727
+ "s_local": 0.336,
1728
+ "raw_overlap": 0.3373,
1729
+ "tau": 0.2654,
1730
+ "perf_linear": 0.0736,
1731
+ "perf_best": 0.2775,
1732
+ "converged": true
1733
+ },
1734
+ {
1735
+ "level": 0.25,
1736
+ "bitrate_a": 6.2625,
1737
+ "bitrate_b": 9.0547,
1738
+ "delta": 2.7922,
1739
+ "s_local": 0.33,
1740
+ "raw_overlap": 0.3313,
1741
+ "tau": 0.2868,
1742
+ "perf_linear": 0.0798,
1743
+ "perf_best": 0.2783,
1744
+ "converged": true
1745
+ },
1746
+ {
1747
+ "level": 0.2,
1748
+ "bitrate_a": 5.9618,
1749
+ "bitrate_b": 9.0547,
1750
+ "delta": 3.0929,
1751
+ "s_local": 0.3232,
1752
+ "raw_overlap": 0.3246,
1753
+ "tau": 0.3067,
1754
+ "perf_linear": 0.0859,
1755
+ "perf_best": 0.2801,
1756
+ "converged": true
1757
+ },
1758
+ {
1759
+ "level": 0.15,
1760
+ "bitrate_a": 5.5854,
1761
+ "bitrate_b": 9.0547,
1762
+ "delta": 3.4692,
1763
+ "s_local": 0.3076,
1764
+ "raw_overlap": 0.309,
1765
+ "tau": 0.3129,
1766
+ "perf_linear": 0.0865,
1767
+ "perf_best": 0.2765,
1768
+ "converged": true
1769
+ },
1770
+ {
1771
+ "level": 0.1,
1772
+ "bitrate_a": 5.0447,
1773
+ "bitrate_b": 9.0547,
1774
+ "delta": 4.01,
1775
+ "s_local": 0.281,
1776
+ "raw_overlap": 0.2825,
1777
+ "tau": 0.2953,
1778
+ "perf_linear": 0.0795,
1779
+ "perf_best": 0.2693,
1780
+ "converged": true
1781
+ },
1782
+ {
1783
+ "level": 0.075,
1784
+ "bitrate_a": 4.6296,
1785
+ "bitrate_b": 9.0547,
1786
+ "delta": 4.4251,
1787
+ "s_local": 0.2556,
1788
+ "raw_overlap": 0.2571,
1789
+ "tau": 0.2782,
1790
+ "perf_linear": 0.071,
1791
+ "perf_best": 0.2552,
1792
+ "converged": true
1793
+ },
1794
+ {
1795
+ "level": 0.05,
1796
+ "bitrate_a": 4.0991,
1797
+ "bitrate_b": 9.0547,
1798
+ "delta": 4.9556,
1799
+ "s_local": 0.2217,
1800
+ "raw_overlap": 0.2233,
1801
+ "tau": 0.2571,
1802
+ "perf_linear": 0.062,
1803
+ "perf_best": 0.2413,
1804
+ "converged": true
1805
+ },
1806
+ {
1807
+ "level": 0.025,
1808
+ "bitrate_a": 3.0646,
1809
+ "bitrate_b": 9.0547,
1810
+ "delta": 5.9901,
1811
+ "s_local": 0.1416,
1812
+ "raw_overlap": 0.1433,
1813
+ "tau": 0.242,
1814
+ "perf_linear": 0.0448,
1815
+ "perf_best": 0.1853,
1816
+ "converged": true
1817
+ }
1818
+ ],
1819
+ "sigmoid_fit_alignment": {
1820
+ "s_max": 0.3553,
1821
+ "kappa": 0.9115,
1822
+ "r0": 3.5416,
1823
+ "r2_fit": 0.9981,
1824
+ "r_crit": 3.5416,
1825
+ "r_sat": 5.9521
1826
+ },
1827
+ "sigmoid_fit_transport": {
1828
+ "s_max": 0.4307,
1829
+ "kappa": 0.0,
1830
+ "r0": 6.7808,
1831
+ "r2_fit": -0.0,
1832
+ "r_crit": 6.7808,
1833
+ "r_sat": 2197231.3582
1834
+ },
1835
+ "model_comparison": {
1836
+ "linear": {
1837
+ "r2": 0.8812,
1838
+ "bic": -112.34,
1839
+ "n_params": 2
1840
+ },
1841
+ "log": {
1842
+ "r2": 0.9511,
1843
+ "bic": -125.67,
1844
+ "n_params": 2
1845
+ },
1846
+ "sigmoid": {
1847
+ "r2": 0.9981,
1848
+ "bic": -171.85,
1849
+ "n_params": 3
1850
+ },
1851
+ "power": {
1852
+ "r2": 0.9511,
1853
+ "bic": -122.95,
1854
+ "n_params": 3
1855
+ }
1856
+ },
1857
+ "permutation_null": {
1858
+ "obs_r2": 0.9981,
1859
+ "null_mean": 0.0593,
1860
+ "null_std": 0.1505,
1861
+ "p_value": 0.0,
1862
+ "n_perms": 1000
1863
+ }
1864
+ },
1865
+ {
1866
+ "pair": "clip_vitb32 <-> clip_vitl14",
1867
+ "points": [
1868
+ {
1869
+ "level": 1.0,
1870
+ "bitrate_a": 6.855,
1871
+ "bitrate_b": 7.4421,
1872
+ "delta": 0.5871,
1873
+ "s_local": 0.2455,
1874
+ "raw_overlap": 0.247,
1875
+ "tau": 0.8328,
1876
+ "perf_linear": 0.249,
1877
+ "perf_best": 0.2989,
1878
+ "converged": true
1879
+ },
1880
+ {
1881
+ "level": 0.9,
1882
+ "bitrate_a": 6.8406,
1883
+ "bitrate_b": 7.4421,
1884
+ "delta": 0.6015,
1885
+ "s_local": 0.2457,
1886
+ "raw_overlap": 0.2472,
1887
+ "tau": 0.8404,
1888
+ "perf_linear": 0.2502,
1889
+ "perf_best": 0.2978,
1890
+ "converged": true
1891
+ },
1892
+ {
1893
+ "level": 0.8,
1894
+ "bitrate_a": 6.8044,
1895
+ "bitrate_b": 7.4421,
1896
+ "delta": 0.6377,
1897
+ "s_local": 0.2456,
1898
+ "raw_overlap": 0.2471,
1899
+ "tau": 0.8332,
1900
+ "perf_linear": 0.2539,
1901
+ "perf_best": 0.3047,
1902
+ "converged": true
1903
+ },
1904
+ {
1905
+ "level": 0.7,
1906
+ "bitrate_a": 6.7427,
1907
+ "bitrate_b": 7.4421,
1908
+ "delta": 0.6994,
1909
+ "s_local": 0.2457,
1910
+ "raw_overlap": 0.2472,
1911
+ "tau": 0.8417,
1912
+ "perf_linear": 0.2604,
1913
+ "perf_best": 0.3093,
1914
+ "converged": true
1915
+ },
1916
+ {
1917
+ "level": 0.6,
1918
+ "bitrate_a": 6.6534,
1919
+ "bitrate_b": 7.4421,
1920
+ "delta": 0.7887,
1921
+ "s_local": 0.2461,
1922
+ "raw_overlap": 0.2475,
1923
+ "tau": 0.836,
1924
+ "perf_linear": 0.2684,
1925
+ "perf_best": 0.3211,
1926
+ "converged": true
1927
+ },
1928
+ {
1929
+ "level": 0.5,
1930
+ "bitrate_a": 6.5299,
1931
+ "bitrate_b": 7.4421,
1932
+ "delta": 0.9122,
1933
+ "s_local": 0.2456,
1934
+ "raw_overlap": 0.2471,
1935
+ "tau": 0.8405,
1936
+ "perf_linear": 0.2778,
1937
+ "perf_best": 0.3306,
1938
+ "converged": true
1939
+ },
1940
+ {
1941
+ "level": 0.4,
1942
+ "bitrate_a": 6.3554,
1943
+ "bitrate_b": 7.4421,
1944
+ "delta": 1.0866,
1945
+ "s_local": 0.2448,
1946
+ "raw_overlap": 0.2463,
1947
+ "tau": 0.8425,
1948
+ "perf_linear": 0.2881,
1949
+ "perf_best": 0.342,
1950
+ "converged": true
1951
+ },
1952
+ {
1953
+ "level": 0.3,
1954
+ "bitrate_a": 6.1103,
1955
+ "bitrate_b": 7.4421,
1956
+ "delta": 1.3318,
1957
+ "s_local": 0.2429,
1958
+ "raw_overlap": 0.2444,
1959
+ "tau": 0.8395,
1960
+ "perf_linear": 0.2968,
1961
+ "perf_best": 0.3535,
1962
+ "converged": true
1963
+ },
1964
+ {
1965
+ "level": 0.25,
1966
+ "bitrate_a": 5.9472,
1967
+ "bitrate_b": 7.4421,
1968
+ "delta": 1.4949,
1969
+ "s_local": 0.2396,
1970
+ "raw_overlap": 0.2411,
1971
+ "tau": 0.8349,
1972
+ "perf_linear": 0.2989,
1973
+ "perf_best": 0.3579,
1974
+ "converged": true
1975
+ },
1976
+ {
1977
+ "level": 0.2,
1978
+ "bitrate_a": 5.7291,
1979
+ "bitrate_b": 7.4421,
1980
+ "delta": 1.7129,
1981
+ "s_local": 0.234,
1982
+ "raw_overlap": 0.2355,
1983
+ "tau": 0.8219,
1984
+ "perf_linear": 0.298,
1985
+ "perf_best": 0.3626,
1986
+ "converged": true
1987
+ },
1988
+ {
1989
+ "level": 0.15,
1990
+ "bitrate_a": 5.431,
1991
+ "bitrate_b": 7.4421,
1992
+ "delta": 2.011,
1993
+ "s_local": 0.2268,
1994
+ "raw_overlap": 0.2283,
1995
+ "tau": 0.7866,
1996
+ "perf_linear": 0.2894,
1997
+ "perf_best": 0.3679,
1998
+ "converged": true
1999
+ },
2000
+ {
2001
+ "level": 0.1,
2002
+ "bitrate_a": 5.0012,
2003
+ "bitrate_b": 7.4421,
2004
+ "delta": 2.4409,
2005
+ "s_local": 0.2092,
2006
+ "raw_overlap": 0.2108,
2007
+ "tau": 0.7315,
2008
+ "perf_linear": 0.2661,
2009
+ "perf_best": 0.3638,
2010
+ "converged": true
2011
+ },
2012
+ {
2013
+ "level": 0.075,
2014
+ "bitrate_a": 4.6722,
2015
+ "bitrate_b": 7.4421,
2016
+ "delta": 2.7699,
2017
+ "s_local": 0.1934,
2018
+ "raw_overlap": 0.195,
2019
+ "tau": 0.6913,
2020
+ "perf_linear": 0.2476,
2021
+ "perf_best": 0.3582,
2022
+ "converged": true
2023
+ },
2024
+ {
2025
+ "level": 0.05,
2026
+ "bitrate_a": 4.1875,
2027
+ "bitrate_b": 7.4421,
2028
+ "delta": 3.2546,
2029
+ "s_local": 0.1667,
2030
+ "raw_overlap": 0.1684,
2031
+ "tau": 0.6341,
2032
+ "perf_linear": 0.215,
2033
+ "perf_best": 0.339,
2034
+ "converged": true
2035
+ },
2036
+ {
2037
+ "level": 0.025,
2038
+ "bitrate_a": 3.313,
2039
+ "bitrate_b": 7.4421,
2040
+ "delta": 4.1291,
2041
+ "s_local": 0.1147,
2042
+ "raw_overlap": 0.1164,
2043
+ "tau": 0.5545,
2044
+ "perf_linear": 0.1628,
2045
+ "perf_best": 0.2936,
2046
+ "converged": true
2047
+ }
2048
+ ],
2049
+ "sigmoid_fit_alignment": {
2050
+ "s_max": 0.2557,
2051
+ "kappa": 1.0494,
2052
+ "r0": 3.5441,
2053
+ "r2_fit": 0.9967,
2054
+ "r_crit": 3.5441,
2055
+ "r_sat": 5.6378
2056
+ },
2057
+ "sigmoid_fit_transport": {
2058
+ "s_max": 0.9006,
2059
+ "kappa": 0.6861,
2060
+ "r0": 2.7424,
2061
+ "r2_fit": 0.9666,
2062
+ "r_crit": 2.7424,
2063
+ "r_sat": 5.9447
2064
+ },
2065
+ "model_comparison": {
2066
+ "linear": {
2067
+ "r2": 0.8975,
2068
+ "bic": -127.8,
2069
+ "n_params": 2
2070
+ },
2071
+ "log": {
2072
+ "r2": 0.9503,
2073
+ "bic": -138.67,
2074
+ "n_params": 2
2075
+ },
2076
+ "sigmoid": {
2077
+ "r2": 0.9967,
2078
+ "bic": -176.5,
2079
+ "n_params": 3
2080
+ },
2081
+ "power": {
2082
+ "r2": 0.9503,
2083
+ "bic": -135.96,
2084
+ "n_params": 3
2085
+ }
2086
+ },
2087
+ "permutation_null": {
2088
+ "obs_r2": 0.9967,
2089
+ "null_mean": 0.0607,
2090
+ "null_std": 0.1566,
2091
+ "p_value": 0.0,
2092
+ "n_perms": 1000
2093
+ }
2094
+ },
2095
+ {
2096
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2097
+ "points": [
2098
+ {
2099
+ "level": 1.0,
2100
+ "bitrate_a": 8.2416,
2101
+ "bitrate_b": 8.3984,
2102
+ "delta": 0.1568,
2103
+ "s_local": 0.4833,
2104
+ "raw_overlap": 0.4843,
2105
+ "tau": 0.771,
2106
+ "perf_linear": 0.2806,
2107
+ "perf_best": 0.3639,
2108
+ "converged": true
2109
+ },
2110
+ {
2111
+ "level": 0.9,
2112
+ "bitrate_a": 8.199,
2113
+ "bitrate_b": 8.3984,
2114
+ "delta": 0.1994,
2115
+ "s_local": 0.4831,
2116
+ "raw_overlap": 0.4842,
2117
+ "tau": 0.7867,
2118
+ "perf_linear": 0.2878,
2119
+ "perf_best": 0.3659,
2120
+ "converged": true
2121
+ },
2122
+ {
2123
+ "level": 0.8,
2124
+ "bitrate_a": 8.1339,
2125
+ "bitrate_b": 8.3984,
2126
+ "delta": 0.2645,
2127
+ "s_local": 0.4828,
2128
+ "raw_overlap": 0.4838,
2129
+ "tau": 0.8135,
2130
+ "perf_linear": 0.2983,
2131
+ "perf_best": 0.3667,
2132
+ "converged": true
2133
+ },
2134
+ {
2135
+ "level": 0.7,
2136
+ "bitrate_a": 8.0463,
2137
+ "bitrate_b": 8.3984,
2138
+ "delta": 0.3521,
2139
+ "s_local": 0.4819,
2140
+ "raw_overlap": 0.4829,
2141
+ "tau": 0.8292,
2142
+ "perf_linear": 0.3107,
2143
+ "perf_best": 0.3748,
2144
+ "converged": true
2145
+ },
2146
+ {
2147
+ "level": 0.6,
2148
+ "bitrate_a": 7.9328,
2149
+ "bitrate_b": 8.3984,
2150
+ "delta": 0.4656,
2151
+ "s_local": 0.4814,
2152
+ "raw_overlap": 0.4824,
2153
+ "tau": 0.8495,
2154
+ "perf_linear": 0.3243,
2155
+ "perf_best": 0.3818,
2156
+ "converged": true
2157
+ },
2158
+ {
2159
+ "level": 0.5,
2160
+ "bitrate_a": 7.7847,
2161
+ "bitrate_b": 8.3984,
2162
+ "delta": 0.6138,
2163
+ "s_local": 0.4801,
2164
+ "raw_overlap": 0.4811,
2165
+ "tau": 0.8629,
2166
+ "perf_linear": 0.339,
2167
+ "perf_best": 0.3929,
2168
+ "converged": true
2169
+ },
2170
+ {
2171
+ "level": 0.4,
2172
+ "bitrate_a": 7.5851,
2173
+ "bitrate_b": 8.3984,
2174
+ "delta": 0.8133,
2175
+ "s_local": 0.4767,
2176
+ "raw_overlap": 0.4777,
2177
+ "tau": 0.87,
2178
+ "perf_linear": 0.3534,
2179
+ "perf_best": 0.4063,
2180
+ "converged": true
2181
+ },
2182
+ {
2183
+ "level": 0.3,
2184
+ "bitrate_a": 7.3114,
2185
+ "bitrate_b": 8.3984,
2186
+ "delta": 1.087,
2187
+ "s_local": 0.4716,
2188
+ "raw_overlap": 0.4726,
2189
+ "tau": 0.8812,
2190
+ "perf_linear": 0.3658,
2191
+ "perf_best": 0.4152,
2192
+ "converged": true
2193
+ },
2194
+ {
2195
+ "level": 0.25,
2196
+ "bitrate_a": 7.1297,
2197
+ "bitrate_b": 8.3984,
2198
+ "delta": 1.2687,
2199
+ "s_local": 0.4673,
2200
+ "raw_overlap": 0.4684,
2201
+ "tau": 0.8727,
2202
+ "perf_linear": 0.3689,
2203
+ "perf_best": 0.4227,
2204
+ "converged": true
2205
+ },
2206
+ {
2207
+ "level": 0.2,
2208
+ "bitrate_a": 6.8957,
2209
+ "bitrate_b": 8.3984,
2210
+ "delta": 1.5027,
2211
+ "s_local": 0.459,
2212
+ "raw_overlap": 0.46,
2213
+ "tau": 0.865,
2214
+ "perf_linear": 0.3692,
2215
+ "perf_best": 0.4268,
2216
+ "converged": true
2217
+ },
2218
+ {
2219
+ "level": 0.15,
2220
+ "bitrate_a": 6.5888,
2221
+ "bitrate_b": 8.3984,
2222
+ "delta": 1.8096,
2223
+ "s_local": 0.4452,
2224
+ "raw_overlap": 0.4463,
2225
+ "tau": 0.8496,
2226
+ "perf_linear": 0.3645,
2227
+ "perf_best": 0.429,
2228
+ "converged": true
2229
+ },
2230
+ {
2231
+ "level": 0.1,
2232
+ "bitrate_a": 6.1366,
2233
+ "bitrate_b": 8.3984,
2234
+ "delta": 2.2618,
2235
+ "s_local": 0.4237,
2236
+ "raw_overlap": 0.4249,
2237
+ "tau": 0.8126,
2238
+ "perf_linear": 0.3473,
2239
+ "perf_best": 0.4274,
2240
+ "converged": true
2241
+ },
2242
+ {
2243
+ "level": 0.075,
2244
+ "bitrate_a": 5.7909,
2245
+ "bitrate_b": 8.3984,
2246
+ "delta": 2.6075,
2247
+ "s_local": 0.4027,
2248
+ "raw_overlap": 0.4039,
2249
+ "tau": 0.7659,
2250
+ "perf_linear": 0.3245,
2251
+ "perf_best": 0.4236,
2252
+ "converged": true
2253
+ },
2254
+ {
2255
+ "level": 0.05,
2256
+ "bitrate_a": 5.298,
2257
+ "bitrate_b": 8.3984,
2258
+ "delta": 3.1004,
2259
+ "s_local": 0.3729,
2260
+ "raw_overlap": 0.3741,
2261
+ "tau": 0.7,
2262
+ "perf_linear": 0.2894,
2263
+ "perf_best": 0.4135,
2264
+ "converged": true
2265
+ },
2266
+ {
2267
+ "level": 0.025,
2268
+ "bitrate_a": 4.3728,
2269
+ "bitrate_b": 8.3984,
2270
+ "delta": 4.0256,
2271
+ "s_local": 0.3027,
2272
+ "raw_overlap": 0.3041,
2273
+ "tau": 0.5907,
2274
+ "perf_linear": 0.2235,
2275
+ "perf_best": 0.3783,
2276
+ "converged": true
2277
+ }
2278
+ ],
2279
+ "sigmoid_fit_alignment": {
2280
+ "s_max": 0.5066,
2281
+ "kappa": 0.7229,
2282
+ "r0": 3.8503,
2283
+ "r2_fit": 0.9977,
2284
+ "r_crit": 3.8503,
2285
+ "r_sat": 6.8898
2286
+ },
2287
+ "sigmoid_fit_transport": {
2288
+ "s_max": 0.8458,
2289
+ "kappa": 1.2646,
2290
+ "r0": 3.7699,
2291
+ "r2_fit": 0.786,
2292
+ "r_crit": 3.7699,
2293
+ "r_sat": 5.5074
2294
+ },
2295
+ "model_comparison": {
2296
+ "linear": {
2297
+ "r2": 0.9231,
2298
+ "bic": -122.63,
2299
+ "n_params": 2
2300
+ },
2301
+ "log": {
2302
+ "r2": 0.964,
2303
+ "bic": -134.0,
2304
+ "n_params": 2
2305
+ },
2306
+ "sigmoid": {
2307
+ "r2": 0.9977,
2308
+ "bic": -172.52,
2309
+ "n_params": 3
2310
+ },
2311
+ "power": {
2312
+ "r2": 0.9639,
2313
+ "bic": -131.29,
2314
+ "n_params": 3
2315
+ }
2316
+ },
2317
+ "permutation_null": {
2318
+ "obs_r2": 0.9977,
2319
+ "null_mean": 0.0546,
2320
+ "null_std": 0.1414,
2321
+ "p_value": 0.0,
2322
+ "n_perms": 1000
2323
+ }
2324
+ }
2325
+ ],
2326
+ "summary": {
2327
+ "n_pairs": 10,
2328
+ "n_successful_fits": 10,
2329
+ "n_good_fits_r2_gt_0.5": 10,
2330
+ "mean_r2_alignment": 0.9727,
2331
+ "mean_r_crit": 2.9565,
2332
+ "mean_r_sat": 7.6804
2333
+ }
2334
+ }
data/experiments/cross_modal_clip.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pairs": [
3
+ {
4
+ "pair": "clip_vitb16 <-> clip_vitb16_text",
5
+ "s_local": 0.0,
6
+ "s_global": 0.0077,
7
+ "tau": 0.0,
8
+ "delta": 1.013,
9
+ "regime": "Divergent",
10
+ "cross_modal": true
11
+ },
12
+ {
13
+ "pair": "clip_vitl14 <-> clip_vitl14_text",
14
+ "s_local": 0.0,
15
+ "s_global": 0.01,
16
+ "tau": 0.0,
17
+ "delta": 1.505,
18
+ "regime": "Divergent",
19
+ "cross_modal": true
20
+ },
21
+ {
22
+ "pair": "dinov2_vitb14 <-> clip_vitb16_text",
23
+ "s_local": 0.0,
24
+ "s_global": 0.017,
25
+ "tau": 0.0,
26
+ "delta": 2.772,
27
+ "regime": "Divergent",
28
+ "cross_modal": true
29
+ },
30
+ {
31
+ "pair": "resnet50 <-> clip_vitb16_text",
32
+ "s_local": 0.0,
33
+ "s_global": 0.0099,
34
+ "tau": 0.0,
35
+ "delta": 2.277,
36
+ "regime": "Divergent",
37
+ "cross_modal": true
38
+ }
39
+ ]
40
+ }
data/experiments/external_scorecard_study.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "Scorecard case study on 5 external models x 3 anchors",
3
+ "anchors": [
4
+ {
5
+ "key": "dinov2_vitb14",
6
+ "name": "DINOv2-ViT-B",
7
+ "objective": "self-supervised"
8
+ },
9
+ {
10
+ "key": "clip_vitl14",
11
+ "name": "CLIP-ViT-L/14",
12
+ "objective": "contrastive"
13
+ },
14
+ {
15
+ "key": "resnet50",
16
+ "name": "ResNet-50",
17
+ "objective": "supervised"
18
+ }
19
+ ],
20
+ "external": [
21
+ {
22
+ "key": "siglip_base_p16_224",
23
+ "name": "SigLIP-B/16",
24
+ "objective": "contrastive"
25
+ },
26
+ {
27
+ "key": "convnextv2_base",
28
+ "name": "ConvNeXt-V2-B",
29
+ "objective": "supervised"
30
+ },
31
+ {
32
+ "key": "eva02_base_p14_224",
33
+ "name": "EVA02-B/14",
34
+ "objective": "self-supervised"
35
+ },
36
+ {
37
+ "key": "deit3_base_p16_224",
38
+ "name": "DeiT3-B/16",
39
+ "objective": "supervised"
40
+ },
41
+ {
42
+ "key": "dinov2_reg_base",
43
+ "name": "DINOv2+reg-B",
44
+ "objective": "self-supervised"
45
+ }
46
+ ],
47
+ "results": [
48
+ {
49
+ "external": "SigLIP-B/16",
50
+ "external_key": "siglip_base_p16_224",
51
+ "external_objective": "contrastive",
52
+ "anchor": "DINOv2-ViT-B",
53
+ "anchor_key": "dinov2_vitb14",
54
+ "anchor_objective": "self-supervised",
55
+ "bitrate_ext": 6.057,
56
+ "delta": 2.544,
57
+ "s_local": 0.0,
58
+ "s_global": 0.012,
59
+ "tau": 0.0,
60
+ "regime": "Divergent",
61
+ "knn_anchor": 0.8156,
62
+ "knn_stitched": 0.0074,
63
+ "retention": 0.0091
64
+ },
65
+ {
66
+ "external": "SigLIP-B/16",
67
+ "external_key": "siglip_base_p16_224",
68
+ "external_objective": "contrastive",
69
+ "anchor": "CLIP-ViT-L/14",
70
+ "anchor_key": "clip_vitl14",
71
+ "anchor_objective": "contrastive",
72
+ "bitrate_ext": 6.057,
73
+ "delta": 1.386,
74
+ "s_local": 0.0,
75
+ "s_global": 0.007,
76
+ "tau": 0.0,
77
+ "regime": "Divergent",
78
+ "knn_anchor": 0.7156,
79
+ "knn_stitched": 0.0076,
80
+ "retention": 0.0106
81
+ },
82
+ {
83
+ "external": "SigLIP-B/16",
84
+ "external_key": "siglip_base_p16_224",
85
+ "external_objective": "contrastive",
86
+ "anchor": "ResNet-50",
87
+ "anchor_key": "resnet50",
88
+ "anchor_objective": "supervised",
89
+ "bitrate_ext": 6.057,
90
+ "delta": 2.048,
91
+ "s_local": 0.0,
92
+ "s_global": 0.007,
93
+ "tau": 0.0,
94
+ "regime": "Divergent",
95
+ "knn_anchor": 0.5144,
96
+ "knn_stitched": 0.009,
97
+ "retention": 0.0175
98
+ },
99
+ {
100
+ "external": "ConvNeXt-V2-B",
101
+ "external_key": "convnextv2_base",
102
+ "external_objective": "supervised",
103
+ "anchor": "DINOv2-ViT-B",
104
+ "anchor_key": "dinov2_vitb14",
105
+ "anchor_objective": "self-supervised",
106
+ "bitrate_ext": 8.181,
107
+ "delta": 0.419,
108
+ "s_local": 0.0,
109
+ "s_global": 0.029,
110
+ "tau": 0.0,
111
+ "regime": "Divergent",
112
+ "knn_anchor": 0.8156,
113
+ "knn_stitched": 0.0082,
114
+ "retention": 0.0101
115
+ },
116
+ {
117
+ "external": "ConvNeXt-V2-B",
118
+ "external_key": "convnextv2_base",
119
+ "external_objective": "supervised",
120
+ "anchor": "CLIP-ViT-L/14",
121
+ "anchor_key": "clip_vitl14",
122
+ "anchor_objective": "contrastive",
123
+ "bitrate_ext": 8.181,
124
+ "delta": 0.739,
125
+ "s_local": 0.0,
126
+ "s_global": 0.016,
127
+ "tau": 0.0,
128
+ "regime": "Divergent",
129
+ "knn_anchor": 0.7156,
130
+ "knn_stitched": 0.0096,
131
+ "retention": 0.0134
132
+ },
133
+ {
134
+ "external": "ConvNeXt-V2-B",
135
+ "external_key": "convnextv2_base",
136
+ "external_objective": "supervised",
137
+ "anchor": "ResNet-50",
138
+ "anchor_key": "resnet50",
139
+ "anchor_objective": "supervised",
140
+ "bitrate_ext": 8.181,
141
+ "delta": 0.076,
142
+ "s_local": 0.0,
143
+ "s_global": 0.018,
144
+ "tau": 0.0,
145
+ "regime": "Divergent",
146
+ "knn_anchor": 0.5144,
147
+ "knn_stitched": 0.0084,
148
+ "retention": 0.0163
149
+ },
150
+ {
151
+ "external": "EVA02-B/14",
152
+ "external_key": "eva02_base_p14_224",
153
+ "external_objective": "self-supervised",
154
+ "anchor": "DINOv2-ViT-B",
155
+ "anchor_key": "dinov2_vitb14",
156
+ "anchor_objective": "self-supervised",
157
+ "bitrate_ext": 7.537,
158
+ "delta": 1.064,
159
+ "s_local": 0.0,
160
+ "s_global": 0.024,
161
+ "tau": 0.0,
162
+ "regime": "Divergent",
163
+ "knn_anchor": 0.8156,
164
+ "knn_stitched": 0.0074,
165
+ "retention": 0.0091
166
+ },
167
+ {
168
+ "external": "EVA02-B/14",
169
+ "external_key": "eva02_base_p14_224",
170
+ "external_objective": "self-supervised",
171
+ "anchor": "CLIP-ViT-L/14",
172
+ "anchor_key": "clip_vitl14",
173
+ "anchor_objective": "contrastive",
174
+ "bitrate_ext": 7.537,
175
+ "delta": 0.095,
176
+ "s_local": 0.0,
177
+ "s_global": 0.013,
178
+ "tau": 0.0,
179
+ "regime": "Divergent",
180
+ "knn_anchor": 0.7156,
181
+ "knn_stitched": 0.0082,
182
+ "retention": 0.0115
183
+ },
184
+ {
185
+ "external": "EVA02-B/14",
186
+ "external_key": "eva02_base_p14_224",
187
+ "external_objective": "self-supervised",
188
+ "anchor": "ResNet-50",
189
+ "anchor_key": "resnet50",
190
+ "anchor_objective": "supervised",
191
+ "bitrate_ext": 7.537,
192
+ "delta": 0.568,
193
+ "s_local": 0.0,
194
+ "s_global": 0.014,
195
+ "tau": 0.0,
196
+ "regime": "Divergent",
197
+ "knn_anchor": 0.5144,
198
+ "knn_stitched": 0.0078,
199
+ "retention": 0.0152
200
+ },
201
+ {
202
+ "external": "DeiT3-B/16",
203
+ "external_key": "deit3_base_p16_224",
204
+ "external_objective": "supervised",
205
+ "anchor": "DINOv2-ViT-B",
206
+ "anchor_key": "dinov2_vitb14",
207
+ "anchor_objective": "self-supervised",
208
+ "bitrate_ext": 7.457,
209
+ "delta": 1.144,
210
+ "s_local": 0.0,
211
+ "s_global": 0.02,
212
+ "tau": 0.0,
213
+ "regime": "Divergent",
214
+ "knn_anchor": 0.8156,
215
+ "knn_stitched": 0.007,
216
+ "retention": 0.0086
217
+ },
218
+ {
219
+ "external": "DeiT3-B/16",
220
+ "external_key": "deit3_base_p16_224",
221
+ "external_objective": "supervised",
222
+ "anchor": "CLIP-ViT-L/14",
223
+ "anchor_key": "clip_vitl14",
224
+ "anchor_objective": "contrastive",
225
+ "bitrate_ext": 7.457,
226
+ "delta": 0.015,
227
+ "s_local": 0.0,
228
+ "s_global": 0.011,
229
+ "tau": 0.0,
230
+ "regime": "Divergent",
231
+ "knn_anchor": 0.7156,
232
+ "knn_stitched": 0.0086,
233
+ "retention": 0.012
234
+ },
235
+ {
236
+ "external": "DeiT3-B/16",
237
+ "external_key": "deit3_base_p16_224",
238
+ "external_objective": "supervised",
239
+ "anchor": "ResNet-50",
240
+ "anchor_key": "resnet50",
241
+ "anchor_objective": "supervised",
242
+ "bitrate_ext": 7.457,
243
+ "delta": 0.648,
244
+ "s_local": 0.0,
245
+ "s_global": 0.012,
246
+ "tau": 0.0,
247
+ "regime": "Divergent",
248
+ "knn_anchor": 0.5144,
249
+ "knn_stitched": 0.0088,
250
+ "retention": 0.0171
251
+ },
252
+ {
253
+ "external": "DINOv2+reg-B",
254
+ "external_key": "dinov2_reg_base",
255
+ "external_objective": "self-supervised",
256
+ "anchor": "DINOv2-ViT-B",
257
+ "anchor_key": "dinov2_vitb14",
258
+ "anchor_objective": "self-supervised",
259
+ "bitrate_ext": 8.553,
260
+ "delta": 0.048,
261
+ "s_local": 0.0,
262
+ "s_global": 0.038,
263
+ "tau": 0.0,
264
+ "regime": "Divergent",
265
+ "knn_anchor": 0.8156,
266
+ "knn_stitched": 0.0078,
267
+ "retention": 0.0096
268
+ },
269
+ {
270
+ "external": "DINOv2+reg-B",
271
+ "external_key": "dinov2_reg_base",
272
+ "external_objective": "self-supervised",
273
+ "anchor": "CLIP-ViT-L/14",
274
+ "anchor_key": "clip_vitl14",
275
+ "anchor_objective": "contrastive",
276
+ "bitrate_ext": 8.553,
277
+ "delta": 1.111,
278
+ "s_local": 0.0,
279
+ "s_global": 0.021,
280
+ "tau": 0.0,
281
+ "regime": "Divergent",
282
+ "knn_anchor": 0.7156,
283
+ "knn_stitched": 0.0076,
284
+ "retention": 0.0106
285
+ },
286
+ {
287
+ "external": "DINOv2+reg-B",
288
+ "external_key": "dinov2_reg_base",
289
+ "external_objective": "self-supervised",
290
+ "anchor": "ResNet-50",
291
+ "anchor_key": "resnet50",
292
+ "anchor_objective": "supervised",
293
+ "bitrate_ext": 8.553,
294
+ "delta": 0.448,
295
+ "s_local": 0.0,
296
+ "s_global": 0.022,
297
+ "tau": 0.0,
298
+ "regime": "Divergent",
299
+ "knn_anchor": 0.5144,
300
+ "knn_stitched": 0.0078,
301
+ "retention": 0.0152
302
+ }
303
+ ],
304
+ "summary": {
305
+ "n_pairs": 15,
306
+ "n_external_models": 5,
307
+ "n_anchor_models": 3,
308
+ "regime_distribution": {
309
+ "Divergent": 15
310
+ },
311
+ "mean_retention": 0.0124,
312
+ "spearman_tau_retention": {
313
+ "rho": NaN,
314
+ "p": NaN
315
+ },
316
+ "spearman_slocal_retention": {
317
+ "rho": NaN,
318
+ "p": NaN
319
+ },
320
+ "spearman_sglobal_retention": {
321
+ "rho": -0.427,
322
+ "p": 0.113
323
+ }
324
+ }
325
+ }
data/experiments/holdout_validation.json ADDED
@@ -0,0 +1,776 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "Held-out predictive validation of BCCT regime prediction",
3
+ "target": "tau >= 0.5 (Convergent)",
4
+ "lofo_cv": {
5
+ "objective_only": {
6
+ "mean_roc_auc": 0.83,
7
+ "std_roc_auc": 0.105,
8
+ "mean_pr_auc": 0.223,
9
+ "mean_f1": 0.242,
10
+ "mean_reg_spearman": 0.202,
11
+ "n_folds": 6,
12
+ "n_valid_folds": 4,
13
+ "per_fold": [
14
+ {
15
+ "n_train": 153,
16
+ "n_test": 37,
17
+ "n_pos_train": 13,
18
+ "n_pos_test": 0,
19
+ "roc_auc": NaN,
20
+ "pr_auc": NaN,
21
+ "f1": 0.0,
22
+ "precision": 0.0,
23
+ "recall": 0.0,
24
+ "coef": [
25
+ 1.5108
26
+ ],
27
+ "reg_spearman": -0.316,
28
+ "reg_spearman_p": 0.0566,
29
+ "held_out_family": "beit"
30
+ },
31
+ {
32
+ "n_train": 136,
33
+ "n_test": 54,
34
+ "n_pos_train": 12,
35
+ "n_pos_test": 1,
36
+ "roc_auc": 0.981,
37
+ "pr_auc": 0.333,
38
+ "f1": 0.5,
39
+ "precision": 0.333,
40
+ "recall": 1.0,
41
+ "coef": [
42
+ 1.2657
43
+ ],
44
+ "reg_spearman": 0.397,
45
+ "reg_spearman_p": 0.00297,
46
+ "held_out_family": "clip"
47
+ },
48
+ {
49
+ "n_train": 120,
50
+ "n_test": 70,
51
+ "n_pos_train": 10,
52
+ "n_pos_test": 3,
53
+ "roc_auc": 0.684,
54
+ "pr_auc": 0.075,
55
+ "f1": 0.16,
56
+ "precision": 0.091,
57
+ "recall": 0.667,
58
+ "coef": [
59
+ 2.2587
60
+ ],
61
+ "reg_spearman": -0.391,
62
+ "reg_spearman_p": 0.000804,
63
+ "held_out_family": "dinov2"
64
+ },
65
+ {
66
+ "n_train": 153,
67
+ "n_test": 37,
68
+ "n_pos_train": 13,
69
+ "n_pos_test": 0,
70
+ "roc_auc": NaN,
71
+ "pr_auc": NaN,
72
+ "f1": 0.0,
73
+ "precision": 0.0,
74
+ "recall": 0.0,
75
+ "coef": [
76
+ 1.5108
77
+ ],
78
+ "reg_spearman": 0.198,
79
+ "reg_spearman_p": 0.241,
80
+ "held_out_family": "mae"
81
+ },
82
+ {
83
+ "n_train": 171,
84
+ "n_test": 19,
85
+ "n_pos_train": 11,
86
+ "n_pos_test": 2,
87
+ "roc_auc": 0.824,
88
+ "pr_auc": 0.25,
89
+ "f1": 0.4,
90
+ "precision": 0.25,
91
+ "recall": 1.0,
92
+ "coef": [
93
+ 1.4219
94
+ ],
95
+ "reg_spearman": 0.662,
96
+ "reg_spearman_p": 0.00203,
97
+ "held_out_family": "mlpmixer"
98
+ },
99
+ {
100
+ "n_train": 66,
101
+ "n_test": 124,
102
+ "n_pos_train": 3,
103
+ "n_pos_test": 10,
104
+ "roc_auc": 0.832,
105
+ "pr_auc": 0.233,
106
+ "f1": 0.391,
107
+ "precision": 0.25,
108
+ "recall": 0.9,
109
+ "coef": [
110
+ 1.8295
111
+ ],
112
+ "reg_spearman": 0.663,
113
+ "reg_spearman_p": 4.77e-17,
114
+ "held_out_family": "supervised"
115
+ }
116
+ ]
117
+ },
118
+ "cka_only": {
119
+ "mean_roc_auc": 0.903,
120
+ "std_roc_auc": 0.066,
121
+ "mean_pr_auc": 0.642,
122
+ "mean_f1": 0.239,
123
+ "mean_reg_spearman": 0.323,
124
+ "n_folds": 6,
125
+ "n_valid_folds": 4,
126
+ "per_fold": [
127
+ {
128
+ "n_train": 153,
129
+ "n_test": 37,
130
+ "n_pos_train": 13,
131
+ "n_pos_test": 0,
132
+ "roc_auc": NaN,
133
+ "pr_auc": NaN,
134
+ "f1": 0.0,
135
+ "precision": 0.0,
136
+ "recall": 0.0,
137
+ "coef": [
138
+ 2.5355
139
+ ],
140
+ "reg_spearman": 0.36,
141
+ "reg_spearman_p": 0.0285,
142
+ "held_out_family": "beit"
143
+ },
144
+ {
145
+ "n_train": 136,
146
+ "n_test": 54,
147
+ "n_pos_train": 12,
148
+ "n_pos_test": 1,
149
+ "roc_auc": 0.981,
150
+ "pr_auc": 0.5,
151
+ "f1": 0.333,
152
+ "precision": 0.2,
153
+ "recall": 1.0,
154
+ "coef": [
155
+ 2.283
156
+ ],
157
+ "reg_spearman": 0.278,
158
+ "reg_spearman_p": 0.0419,
159
+ "held_out_family": "clip"
160
+ },
161
+ {
162
+ "n_train": 120,
163
+ "n_test": 70,
164
+ "n_pos_train": 10,
165
+ "n_pos_test": 3,
166
+ "roc_auc": 0.806,
167
+ "pr_auc": 0.69,
168
+ "f1": 0.308,
169
+ "precision": 0.2,
170
+ "recall": 0.667,
171
+ "coef": [
172
+ 3.1307
173
+ ],
174
+ "reg_spearman": 0.559,
175
+ "reg_spearman_p": 4.85e-07,
176
+ "held_out_family": "dinov2"
177
+ },
178
+ {
179
+ "n_train": 153,
180
+ "n_test": 37,
181
+ "n_pos_train": 13,
182
+ "n_pos_test": 0,
183
+ "roc_auc": NaN,
184
+ "pr_auc": NaN,
185
+ "f1": 0.0,
186
+ "precision": 0.0,
187
+ "recall": 0.0,
188
+ "coef": [
189
+ 2.3818
190
+ ],
191
+ "reg_spearman": -0.595,
192
+ "reg_spearman_p": 0.000104,
193
+ "held_out_family": "mae"
194
+ },
195
+ {
196
+ "n_train": 171,
197
+ "n_test": 19,
198
+ "n_pos_train": 11,
199
+ "n_pos_test": 2,
200
+ "roc_auc": 0.941,
201
+ "pr_auc": 0.75,
202
+ "f1": 0.4,
203
+ "precision": 0.333,
204
+ "recall": 0.5,
205
+ "coef": [
206
+ 2.6257
207
+ ],
208
+ "reg_spearman": 0.651,
209
+ "reg_spearman_p": 0.00254,
210
+ "held_out_family": "mlpmixer"
211
+ },
212
+ {
213
+ "n_train": 66,
214
+ "n_test": 124,
215
+ "n_pos_train": 3,
216
+ "n_pos_test": 10,
217
+ "roc_auc": 0.884,
218
+ "pr_auc": 0.63,
219
+ "f1": 0.391,
220
+ "precision": 0.25,
221
+ "recall": 0.9,
222
+ "coef": [
223
+ 2.7684
224
+ ],
225
+ "reg_spearman": 0.684,
226
+ "reg_spearman_p": 2.13e-18,
227
+ "held_out_family": "supervised"
228
+ }
229
+ ]
230
+ },
231
+ "delta_only": {
232
+ "mean_roc_auc": 0.832,
233
+ "std_roc_auc": 0.097,
234
+ "mean_pr_auc": 0.426,
235
+ "mean_f1": 0.135,
236
+ "mean_reg_spearman": 0.232,
237
+ "n_folds": 6,
238
+ "n_valid_folds": 4,
239
+ "per_fold": [
240
+ {
241
+ "n_train": 153,
242
+ "n_test": 37,
243
+ "n_pos_train": 13,
244
+ "n_pos_test": 0,
245
+ "roc_auc": NaN,
246
+ "pr_auc": NaN,
247
+ "f1": 0.0,
248
+ "precision": 0.0,
249
+ "recall": 0.0,
250
+ "coef": [
251
+ -2.8877
252
+ ],
253
+ "reg_spearman": 0.153,
254
+ "reg_spearman_p": 0.366,
255
+ "held_out_family": "beit"
256
+ },
257
+ {
258
+ "n_train": 136,
259
+ "n_test": 54,
260
+ "n_pos_train": 12,
261
+ "n_pos_test": 1,
262
+ "roc_auc": 1.0,
263
+ "pr_auc": 1.0,
264
+ "f1": 0.133,
265
+ "precision": 0.071,
266
+ "recall": 1.0,
267
+ "coef": [
268
+ -2.5952
269
+ ],
270
+ "reg_spearman": 0.089,
271
+ "reg_spearman_p": 0.521,
272
+ "held_out_family": "clip"
273
+ },
274
+ {
275
+ "n_train": 120,
276
+ "n_test": 70,
277
+ "n_pos_train": 10,
278
+ "n_pos_test": 3,
279
+ "roc_auc": 0.779,
280
+ "pr_auc": 0.159,
281
+ "f1": 0.133,
282
+ "precision": 0.074,
283
+ "recall": 0.667,
284
+ "coef": [
285
+ -3.0666
286
+ ],
287
+ "reg_spearman": 0.569,
288
+ "reg_spearman_p": 2.69e-07,
289
+ "held_out_family": "dinov2"
290
+ },
291
+ {
292
+ "n_train": 153,
293
+ "n_test": 37,
294
+ "n_pos_train": 13,
295
+ "n_pos_test": 0,
296
+ "roc_auc": NaN,
297
+ "pr_auc": NaN,
298
+ "f1": 0.0,
299
+ "precision": 0.0,
300
+ "recall": 0.0,
301
+ "coef": [
302
+ -1.8973
303
+ ],
304
+ "reg_spearman": -0.722,
305
+ "reg_spearman_p": 4.51e-07,
306
+ "held_out_family": "mae"
307
+ },
308
+ {
309
+ "n_train": 171,
310
+ "n_test": 19,
311
+ "n_pos_train": 11,
312
+ "n_pos_test": 2,
313
+ "roc_auc": 0.765,
314
+ "pr_auc": 0.361,
315
+ "f1": 0.308,
316
+ "precision": 0.182,
317
+ "recall": 1.0,
318
+ "coef": [
319
+ -3.3217
320
+ ],
321
+ "reg_spearman": 0.618,
322
+ "reg_spearman_p": 0.00484,
323
+ "held_out_family": "mlpmixer"
324
+ },
325
+ {
326
+ "n_train": 66,
327
+ "n_test": 124,
328
+ "n_pos_train": 3,
329
+ "n_pos_test": 10,
330
+ "roc_auc": 0.782,
331
+ "pr_auc": 0.185,
332
+ "f1": 0.238,
333
+ "precision": 0.135,
334
+ "recall": 1.0,
335
+ "coef": [
336
+ -2.7354
337
+ ],
338
+ "reg_spearman": 0.682,
339
+ "reg_spearman_p": 2.8e-18,
340
+ "held_out_family": "supervised"
341
+ }
342
+ ]
343
+ },
344
+ "s_local_only": {
345
+ "mean_roc_auc": 0.875,
346
+ "std_roc_auc": 0.075,
347
+ "mean_pr_auc": 0.497,
348
+ "mean_f1": 0.069,
349
+ "mean_reg_spearman": 0.296,
350
+ "n_folds": 6,
351
+ "n_valid_folds": 4,
352
+ "per_fold": [
353
+ {
354
+ "n_train": 153,
355
+ "n_test": 37,
356
+ "n_pos_train": 13,
357
+ "n_pos_test": 0,
358
+ "roc_auc": NaN,
359
+ "pr_auc": NaN,
360
+ "f1": 0.0,
361
+ "precision": 0.0,
362
+ "recall": 0.0,
363
+ "coef": [
364
+ 1.3229
365
+ ],
366
+ "reg_spearman": 0.388,
367
+ "reg_spearman_p": 0.0177,
368
+ "held_out_family": "beit"
369
+ },
370
+ {
371
+ "n_train": 136,
372
+ "n_test": 54,
373
+ "n_pos_train": 12,
374
+ "n_pos_test": 1,
375
+ "roc_auc": 0.925,
376
+ "pr_auc": 0.2,
377
+ "f1": 0.0,
378
+ "precision": 0.0,
379
+ "recall": 0.0,
380
+ "coef": [
381
+ 1.4383
382
+ ],
383
+ "reg_spearman": 0.14,
384
+ "reg_spearman_p": 0.311,
385
+ "held_out_family": "clip"
386
+ },
387
+ {
388
+ "n_train": 120,
389
+ "n_test": 70,
390
+ "n_pos_train": 10,
391
+ "n_pos_test": 3,
392
+ "roc_auc": 0.806,
393
+ "pr_auc": 0.525,
394
+ "f1": 0.114,
395
+ "precision": 0.062,
396
+ "recall": 0.667,
397
+ "coef": [
398
+ 2.1796
399
+ ],
400
+ "reg_spearman": 0.571,
401
+ "reg_spearman_p": 2.44e-07,
402
+ "held_out_family": "dinov2"
403
+ },
404
+ {
405
+ "n_train": 153,
406
+ "n_test": 37,
407
+ "n_pos_train": 13,
408
+ "n_pos_test": 0,
409
+ "roc_auc": NaN,
410
+ "pr_auc": NaN,
411
+ "f1": 0.0,
412
+ "precision": 0.0,
413
+ "recall": 0.0,
414
+ "coef": [
415
+ 1.2963
416
+ ],
417
+ "reg_spearman": -0.662,
418
+ "reg_spearman_p": 7.94e-06,
419
+ "held_out_family": "mae"
420
+ },
421
+ {
422
+ "n_train": 171,
423
+ "n_test": 19,
424
+ "n_pos_train": 11,
425
+ "n_pos_test": 2,
426
+ "roc_auc": 0.971,
427
+ "pr_auc": 0.833,
428
+ "f1": 0.0,
429
+ "precision": 0.0,
430
+ "recall": 0.0,
431
+ "coef": [
432
+ 1.7363
433
+ ],
434
+ "reg_spearman": 0.754,
435
+ "reg_spearman_p": 0.00019,
436
+ "held_out_family": "mlpmixer"
437
+ },
438
+ {
439
+ "n_train": 66,
440
+ "n_test": 124,
441
+ "n_pos_train": 3,
442
+ "n_pos_test": 10,
443
+ "roc_auc": 0.796,
444
+ "pr_auc": 0.43,
445
+ "f1": 0.298,
446
+ "precision": 0.189,
447
+ "recall": 0.7,
448
+ "coef": [
449
+ 1.8401
450
+ ],
451
+ "reg_spearman": 0.587,
452
+ "reg_spearman_p": 7.36e-13,
453
+ "held_out_family": "supervised"
454
+ }
455
+ ]
456
+ },
457
+ "bcct_no_bitrate": {
458
+ "mean_roc_auc": 0.892,
459
+ "std_roc_auc": 0.065,
460
+ "mean_pr_auc": 0.543,
461
+ "mean_f1": 0.191,
462
+ "mean_reg_spearman": 0.25,
463
+ "n_folds": 6,
464
+ "n_valid_folds": 4,
465
+ "per_fold": [
466
+ {
467
+ "n_train": 153,
468
+ "n_test": 37,
469
+ "n_pos_train": 13,
470
+ "n_pos_test": 0,
471
+ "roc_auc": NaN,
472
+ "pr_auc": NaN,
473
+ "f1": 0.0,
474
+ "precision": 0.0,
475
+ "recall": 0.0,
476
+ "coef": [
477
+ 1.0864,
478
+ -0.3012,
479
+ 0.4678,
480
+ 1.3436
481
+ ],
482
+ "reg_spearman": -0.02,
483
+ "reg_spearman_p": 0.906,
484
+ "held_out_family": "beit"
485
+ },
486
+ {
487
+ "n_train": 136,
488
+ "n_test": 54,
489
+ "n_pos_train": 12,
490
+ "n_pos_test": 1,
491
+ "roc_auc": 0.981,
492
+ "pr_auc": 0.5,
493
+ "f1": 0.5,
494
+ "precision": 0.333,
495
+ "recall": 1.0,
496
+ "coef": [
497
+ 0.8058,
498
+ -0.27,
499
+ 0.6607,
500
+ 1.3714
501
+ ],
502
+ "reg_spearman": 0.21,
503
+ "reg_spearman_p": 0.127,
504
+ "held_out_family": "clip"
505
+ },
506
+ {
507
+ "n_train": 120,
508
+ "n_test": 70,
509
+ "n_pos_train": 10,
510
+ "n_pos_test": 3,
511
+ "roc_auc": 0.801,
512
+ "pr_auc": 0.579,
513
+ "f1": 0.267,
514
+ "precision": 0.167,
515
+ "recall": 0.667,
516
+ "coef": [
517
+ 1.4942,
518
+ -0.6076,
519
+ 1.6003,
520
+ 1.4883
521
+ ],
522
+ "reg_spearman": 0.112,
523
+ "reg_spearman_p": 0.356,
524
+ "held_out_family": "dinov2"
525
+ },
526
+ {
527
+ "n_train": 153,
528
+ "n_test": 37,
529
+ "n_pos_train": 13,
530
+ "n_pos_test": 0,
531
+ "roc_auc": NaN,
532
+ "pr_auc": NaN,
533
+ "f1": 0.0,
534
+ "precision": 0.0,
535
+ "recall": 0.0,
536
+ "coef": [
537
+ 1.1063,
538
+ -0.317,
539
+ 0.5124,
540
+ 1.1949
541
+ ],
542
+ "reg_spearman": -0.195,
543
+ "reg_spearman_p": 0.248,
544
+ "held_out_family": "mae"
545
+ },
546
+ {
547
+ "n_train": 171,
548
+ "n_test": 19,
549
+ "n_pos_train": 11,
550
+ "n_pos_test": 2,
551
+ "roc_auc": 0.912,
552
+ "pr_auc": 0.5,
553
+ "f1": 0.0,
554
+ "precision": 0.0,
555
+ "recall": 0.0,
556
+ "coef": [
557
+ 0.035,
558
+ 0.7223,
559
+ 0.676,
560
+ 0.9825
561
+ ],
562
+ "reg_spearman": 0.696,
563
+ "reg_spearman_p": 0.000923,
564
+ "held_out_family": "mlpmixer"
565
+ },
566
+ {
567
+ "n_train": 66,
568
+ "n_test": 124,
569
+ "n_pos_train": 3,
570
+ "n_pos_test": 10,
571
+ "roc_auc": 0.874,
572
+ "pr_auc": 0.593,
573
+ "f1": 0.378,
574
+ "precision": 0.259,
575
+ "recall": 0.7,
576
+ "coef": [
577
+ 0.4545,
578
+ 0.9375,
579
+ 0.6667,
580
+ 1.2856
581
+ ],
582
+ "reg_spearman": 0.696,
583
+ "reg_spearman_p": 3.08e-19,
584
+ "held_out_family": "supervised"
585
+ }
586
+ ]
587
+ },
588
+ "bcct_combined": {
589
+ "mean_roc_auc": 0.888,
590
+ "std_roc_auc": 0.073,
591
+ "mean_pr_auc": 0.625,
592
+ "mean_f1": 0.191,
593
+ "mean_reg_spearman": 0.214,
594
+ "n_folds": 6,
595
+ "n_valid_folds": 4,
596
+ "per_fold": [
597
+ {
598
+ "n_train": 153,
599
+ "n_test": 37,
600
+ "n_pos_train": 13,
601
+ "n_pos_test": 0,
602
+ "roc_auc": NaN,
603
+ "pr_auc": NaN,
604
+ "f1": 0.0,
605
+ "precision": 0.0,
606
+ "recall": 0.0,
607
+ "coef": [
608
+ 1.0681,
609
+ -0.2634,
610
+ -0.9543,
611
+ 0.4907,
612
+ 1.0436
613
+ ],
614
+ "reg_spearman": -0.036,
615
+ "reg_spearman_p": 0.832,
616
+ "held_out_family": "beit"
617
+ },
618
+ {
619
+ "n_train": 136,
620
+ "n_test": 54,
621
+ "n_pos_train": 12,
622
+ "n_pos_test": 1,
623
+ "roc_auc": 1.0,
624
+ "pr_auc": 1.0,
625
+ "f1": 0.5,
626
+ "precision": 0.333,
627
+ "recall": 1.0,
628
+ "coef": [
629
+ 0.8349,
630
+ -0.242,
631
+ -0.7918,
632
+ 0.6612,
633
+ 1.092
634
+ ],
635
+ "reg_spearman": 0.186,
636
+ "reg_spearman_p": 0.177,
637
+ "held_out_family": "clip"
638
+ },
639
+ {
640
+ "n_train": 120,
641
+ "n_test": 70,
642
+ "n_pos_train": 10,
643
+ "n_pos_test": 3,
644
+ "roc_auc": 0.796,
645
+ "pr_auc": 0.524,
646
+ "f1": 0.267,
647
+ "precision": 0.167,
648
+ "recall": 0.667,
649
+ "coef": [
650
+ 1.4336,
651
+ -0.6069,
652
+ -0.5048,
653
+ 1.5882,
654
+ 1.4716
655
+ ],
656
+ "reg_spearman": 0.13,
657
+ "reg_spearman_p": 0.283,
658
+ "held_out_family": "dinov2"
659
+ },
660
+ {
661
+ "n_train": 153,
662
+ "n_test": 37,
663
+ "n_pos_train": 13,
664
+ "n_pos_test": 0,
665
+ "roc_auc": NaN,
666
+ "pr_auc": NaN,
667
+ "f1": 0.0,
668
+ "precision": 0.0,
669
+ "recall": 0.0,
670
+ "coef": [
671
+ 1.0302,
672
+ -0.2547,
673
+ -0.802,
674
+ 0.5577,
675
+ 0.8197
676
+ ],
677
+ "reg_spearman": -0.473,
678
+ "reg_spearman_p": 0.00313,
679
+ "held_out_family": "mae"
680
+ },
681
+ {
682
+ "n_train": 171,
683
+ "n_test": 19,
684
+ "n_pos_train": 11,
685
+ "n_pos_test": 2,
686
+ "roc_auc": 0.882,
687
+ "pr_auc": 0.417,
688
+ "f1": 0.0,
689
+ "precision": 0.0,
690
+ "recall": 0.0,
691
+ "coef": [
692
+ 0.1473,
693
+ 0.6315,
694
+ -1.3101,
695
+ 0.6778,
696
+ 0.615
697
+ ],
698
+ "reg_spearman": 0.739,
699
+ "reg_spearman_p": 0.000304,
700
+ "held_out_family": "mlpmixer"
701
+ },
702
+ {
703
+ "n_train": 66,
704
+ "n_test": 124,
705
+ "n_pos_train": 3,
706
+ "n_pos_test": 10,
707
+ "roc_auc": 0.875,
708
+ "pr_auc": 0.557,
709
+ "f1": 0.378,
710
+ "precision": 0.259,
711
+ "recall": 0.7,
712
+ "coef": [
713
+ 0.4657,
714
+ 0.8773,
715
+ -0.8322,
716
+ 0.6888,
717
+ 1.0973
718
+ ],
719
+ "reg_spearman": 0.736,
720
+ "reg_spearman_p": 2.24e-22,
721
+ "held_out_family": "supervised"
722
+ }
723
+ ]
724
+ }
725
+ },
726
+ "random_stratified_cv": {
727
+ "objective_only": {
728
+ "mean_roc_auc": 0.833,
729
+ "std_roc_auc": 0.039,
730
+ "mean_pr_auc": 0.184,
731
+ "mean_f1": 0.314,
732
+ "mean_reg_spearman": 0.353,
733
+ "n_splits": 5
734
+ },
735
+ "cka_only": {
736
+ "mean_roc_auc": 0.944,
737
+ "std_roc_auc": 0.04,
738
+ "mean_pr_auc": 0.628,
739
+ "mean_f1": 0.381,
740
+ "mean_reg_spearman": 0.732,
741
+ "n_splits": 5
742
+ },
743
+ "delta_only": {
744
+ "mean_roc_auc": 0.797,
745
+ "std_roc_auc": 0.056,
746
+ "mean_pr_auc": 0.215,
747
+ "mean_f1": 0.262,
748
+ "mean_reg_spearman": 0.698,
749
+ "n_splits": 5
750
+ },
751
+ "s_local_only": {
752
+ "mean_roc_auc": 0.883,
753
+ "std_roc_auc": 0.053,
754
+ "mean_pr_auc": 0.538,
755
+ "mean_f1": 0.351,
756
+ "mean_reg_spearman": 0.672,
757
+ "n_splits": 5
758
+ },
759
+ "bcct_no_bitrate": {
760
+ "mean_roc_auc": 0.891,
761
+ "std_roc_auc": 0.064,
762
+ "mean_pr_auc": 0.645,
763
+ "mean_f1": 0.372,
764
+ "mean_reg_spearman": 0.717,
765
+ "n_splits": 5
766
+ },
767
+ "bcct_combined": {
768
+ "mean_roc_auc": 0.891,
769
+ "std_roc_auc": 0.044,
770
+ "mean_pr_auc": 0.517,
771
+ "mean_f1": 0.36,
772
+ "mean_reg_spearman": 0.743,
773
+ "n_splits": 5
774
+ }
775
+ }
776
+ }
data/experiments/knn_sensitivity.json ADDED
@@ -0,0 +1,464 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "k_values": [
3
+ 3,
4
+ 5,
5
+ 10,
6
+ 20,
7
+ 50,
8
+ 100
9
+ ],
10
+ "n_pairs": 15,
11
+ "regime_stability": 0.9333,
12
+ "results": [
13
+ {
14
+ "pair": "clip_vitb16 <-> clip_vitl14",
15
+ "tau": 0.468,
16
+ "regimes": {
17
+ "3": {
18
+ "s_local": 0.2109,
19
+ "regime": "Local-Only"
20
+ },
21
+ "5": {
22
+ "s_local": 0.2428,
23
+ "regime": "Local-Only"
24
+ },
25
+ "10": {
26
+ "s_local": 0.2907,
27
+ "regime": "Local-Only"
28
+ },
29
+ "20": {
30
+ "s_local": 0.3381,
31
+ "regime": "Local-Only"
32
+ },
33
+ "50": {
34
+ "s_local": 0.3783,
35
+ "regime": "Local-Only"
36
+ },
37
+ "100": {
38
+ "s_local": 0.3985,
39
+ "regime": "Local-Only"
40
+ }
41
+ }
42
+ },
43
+ {
44
+ "pair": "clip_vitb32 <-> clip_vitb16",
45
+ "tau": 0.744,
46
+ "regimes": {
47
+ "3": {
48
+ "s_local": 0.21,
49
+ "regime": "Convergent"
50
+ },
51
+ "5": {
52
+ "s_local": 0.2385,
53
+ "regime": "Convergent"
54
+ },
55
+ "10": {
56
+ "s_local": 0.2772,
57
+ "regime": "Convergent"
58
+ },
59
+ "20": {
60
+ "s_local": 0.3198,
61
+ "regime": "Convergent"
62
+ },
63
+ "50": {
64
+ "s_local": 0.3628,
65
+ "regime": "Convergent"
66
+ },
67
+ "100": {
68
+ "s_local": 0.3908,
69
+ "regime": "Convergent"
70
+ }
71
+ }
72
+ },
73
+ {
74
+ "pair": "resnet50 <-> resnet101",
75
+ "tau": 0.5445,
76
+ "regimes": {
77
+ "3": {
78
+ "s_local": 0.2516,
79
+ "regime": "Convergent"
80
+ },
81
+ "5": {
82
+ "s_local": 0.2773,
83
+ "regime": "Convergent"
84
+ },
85
+ "10": {
86
+ "s_local": 0.3195,
87
+ "regime": "Convergent"
88
+ },
89
+ "20": {
90
+ "s_local": 0.3596,
91
+ "regime": "Convergent"
92
+ },
93
+ "50": {
94
+ "s_local": 0.4033,
95
+ "regime": "Convergent"
96
+ },
97
+ "100": {
98
+ "s_local": 0.4345,
99
+ "regime": "Convergent"
100
+ }
101
+ }
102
+ },
103
+ {
104
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
105
+ "tau": 0.4073,
106
+ "regimes": {
107
+ "3": {
108
+ "s_local": 0.4064,
109
+ "regime": "Local-Only"
110
+ },
111
+ "5": {
112
+ "s_local": 0.4478,
113
+ "regime": "Local-Only"
114
+ },
115
+ "10": {
116
+ "s_local": 0.5137,
117
+ "regime": "Local-Only"
118
+ },
119
+ "20": {
120
+ "s_local": 0.5763,
121
+ "regime": "Local-Only"
122
+ },
123
+ "50": {
124
+ "s_local": 0.6118,
125
+ "regime": "Local-Only"
126
+ },
127
+ "100": {
128
+ "s_local": 0.557,
129
+ "regime": "Local-Only"
130
+ }
131
+ }
132
+ },
133
+ {
134
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
135
+ "tau": 0.0995,
136
+ "regimes": {
137
+ "3": {
138
+ "s_local": 0.2672,
139
+ "regime": "Local-Only"
140
+ },
141
+ "5": {
142
+ "s_local": 0.297,
143
+ "regime": "Local-Only"
144
+ },
145
+ "10": {
146
+ "s_local": 0.344,
147
+ "regime": "Local-Only"
148
+ },
149
+ "20": {
150
+ "s_local": 0.3937,
151
+ "regime": "Local-Only"
152
+ },
153
+ "50": {
154
+ "s_local": 0.4372,
155
+ "regime": "Local-Only"
156
+ },
157
+ "100": {
158
+ "s_local": 0.4279,
159
+ "regime": "Local-Only"
160
+ }
161
+ }
162
+ },
163
+ {
164
+ "pair": "vit_base_patch16_224 <-> vit_large_patch16_224",
165
+ "tau": 0.219,
166
+ "regimes": {
167
+ "3": {
168
+ "s_local": 0.2164,
169
+ "regime": "Local-Only"
170
+ },
171
+ "5": {
172
+ "s_local": 0.2505,
173
+ "regime": "Local-Only"
174
+ },
175
+ "10": {
176
+ "s_local": 0.302,
177
+ "regime": "Local-Only"
178
+ },
179
+ "20": {
180
+ "s_local": 0.3539,
181
+ "regime": "Local-Only"
182
+ },
183
+ "50": {
184
+ "s_local": 0.3919,
185
+ "regime": "Local-Only"
186
+ },
187
+ "100": {
188
+ "s_local": 0.391,
189
+ "regime": "Local-Only"
190
+ }
191
+ }
192
+ },
193
+ {
194
+ "pair": "convnext_base <-> convnext_large",
195
+ "tau": 0.8475,
196
+ "regimes": {
197
+ "3": {
198
+ "s_local": 0.4646,
199
+ "regime": "Convergent"
200
+ },
201
+ "5": {
202
+ "s_local": 0.5117,
203
+ "regime": "Convergent"
204
+ },
205
+ "10": {
206
+ "s_local": 0.5692,
207
+ "regime": "Convergent"
208
+ },
209
+ "20": {
210
+ "s_local": 0.6283,
211
+ "regime": "Convergent"
212
+ },
213
+ "50": {
214
+ "s_local": 0.6683,
215
+ "regime": "Convergent"
216
+ },
217
+ "100": {
218
+ "s_local": 0.6563,
219
+ "regime": "Convergent"
220
+ }
221
+ }
222
+ },
223
+ {
224
+ "pair": "beit_base_patch16_224 <-> beit_large_patch16_224",
225
+ "tau": 0.3613,
226
+ "regimes": {
227
+ "3": {
228
+ "s_local": 0.1828,
229
+ "regime": "Local-Only"
230
+ },
231
+ "5": {
232
+ "s_local": 0.2083,
233
+ "regime": "Local-Only"
234
+ },
235
+ "10": {
236
+ "s_local": 0.2376,
237
+ "regime": "Local-Only"
238
+ },
239
+ "20": {
240
+ "s_local": 0.2668,
241
+ "regime": "Local-Only"
242
+ },
243
+ "50": {
244
+ "s_local": 0.3171,
245
+ "regime": "Local-Only"
246
+ },
247
+ "100": {
248
+ "s_local": 0.3589,
249
+ "regime": "Local-Only"
250
+ }
251
+ }
252
+ },
253
+ {
254
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
255
+ "tau": 0.0449,
256
+ "regimes": {
257
+ "3": {
258
+ "s_local": 0.155,
259
+ "regime": "Local-Only"
260
+ },
261
+ "5": {
262
+ "s_local": 0.1826,
263
+ "regime": "Local-Only"
264
+ },
265
+ "10": {
266
+ "s_local": 0.2241,
267
+ "regime": "Local-Only"
268
+ },
269
+ "20": {
270
+ "s_local": 0.2726,
271
+ "regime": "Local-Only"
272
+ },
273
+ "50": {
274
+ "s_local": 0.31,
275
+ "regime": "Local-Only"
276
+ },
277
+ "100": {
278
+ "s_local": 0.3196,
279
+ "regime": "Local-Only"
280
+ }
281
+ }
282
+ },
283
+ {
284
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
285
+ "tau": 0.0024,
286
+ "regimes": {
287
+ "3": {
288
+ "s_local": 0.0234,
289
+ "regime": "Divergent"
290
+ },
291
+ "5": {
292
+ "s_local": 0.0238,
293
+ "regime": "Divergent"
294
+ },
295
+ "10": {
296
+ "s_local": 0.0265,
297
+ "regime": "Divergent"
298
+ },
299
+ "20": {
300
+ "s_local": 0.0311,
301
+ "regime": "Divergent"
302
+ },
303
+ "50": {
304
+ "s_local": 0.0411,
305
+ "regime": "Divergent"
306
+ },
307
+ "100": {
308
+ "s_local": 0.0529,
309
+ "regime": "Local-Only"
310
+ }
311
+ }
312
+ },
313
+ {
314
+ "pair": "dinov2_vitb14 <-> resnet50",
315
+ "tau": 0.1525,
316
+ "regimes": {
317
+ "3": {
318
+ "s_local": 0.1419,
319
+ "regime": "Local-Only"
320
+ },
321
+ "5": {
322
+ "s_local": 0.1642,
323
+ "regime": "Local-Only"
324
+ },
325
+ "10": {
326
+ "s_local": 0.1933,
327
+ "regime": "Local-Only"
328
+ },
329
+ "20": {
330
+ "s_local": 0.2259,
331
+ "regime": "Local-Only"
332
+ },
333
+ "50": {
334
+ "s_local": 0.2589,
335
+ "regime": "Local-Only"
336
+ },
337
+ "100": {
338
+ "s_local": 0.277,
339
+ "regime": "Local-Only"
340
+ }
341
+ }
342
+ },
343
+ {
344
+ "pair": "clip_vitl14 <-> dinov2_vitl14",
345
+ "tau": 0.0297,
346
+ "regimes": {
347
+ "3": {
348
+ "s_local": 0.1832,
349
+ "regime": "Local-Only"
350
+ },
351
+ "5": {
352
+ "s_local": 0.2176,
353
+ "regime": "Local-Only"
354
+ },
355
+ "10": {
356
+ "s_local": 0.2688,
357
+ "regime": "Local-Only"
358
+ },
359
+ "20": {
360
+ "s_local": 0.3224,
361
+ "regime": "Local-Only"
362
+ },
363
+ "50": {
364
+ "s_local": 0.3618,
365
+ "regime": "Local-Only"
366
+ },
367
+ "100": {
368
+ "s_local": 0.342,
369
+ "regime": "Local-Only"
370
+ }
371
+ }
372
+ },
373
+ {
374
+ "pair": "convnext_base <-> resnet101",
375
+ "tau": 0.3092,
376
+ "regimes": {
377
+ "3": {
378
+ "s_local": 0.229,
379
+ "regime": "Local-Only"
380
+ },
381
+ "5": {
382
+ "s_local": 0.2583,
383
+ "regime": "Local-Only"
384
+ },
385
+ "10": {
386
+ "s_local": 0.3045,
387
+ "regime": "Local-Only"
388
+ },
389
+ "20": {
390
+ "s_local": 0.3491,
391
+ "regime": "Local-Only"
392
+ },
393
+ "50": {
394
+ "s_local": 0.3949,
395
+ "regime": "Local-Only"
396
+ },
397
+ "100": {
398
+ "s_local": 0.4167,
399
+ "regime": "Local-Only"
400
+ }
401
+ }
402
+ },
403
+ {
404
+ "pair": "mixer_b16_224 <-> vit_base_patch16_224",
405
+ "tau": 0.179,
406
+ "regimes": {
407
+ "3": {
408
+ "s_local": 0.1707,
409
+ "regime": "Local-Only"
410
+ },
411
+ "5": {
412
+ "s_local": 0.1923,
413
+ "regime": "Local-Only"
414
+ },
415
+ "10": {
416
+ "s_local": 0.2253,
417
+ "regime": "Local-Only"
418
+ },
419
+ "20": {
420
+ "s_local": 0.2628,
421
+ "regime": "Local-Only"
422
+ },
423
+ "50": {
424
+ "s_local": 0.3037,
425
+ "regime": "Local-Only"
426
+ },
427
+ "100": {
428
+ "s_local": 0.3298,
429
+ "regime": "Local-Only"
430
+ }
431
+ }
432
+ },
433
+ {
434
+ "pair": "efficientnet_b0 <-> resnet50",
435
+ "tau": 0.4761,
436
+ "regimes": {
437
+ "3": {
438
+ "s_local": 0.235,
439
+ "regime": "Local-Only"
440
+ },
441
+ "5": {
442
+ "s_local": 0.2615,
443
+ "regime": "Local-Only"
444
+ },
445
+ "10": {
446
+ "s_local": 0.3,
447
+ "regime": "Local-Only"
448
+ },
449
+ "20": {
450
+ "s_local": 0.3377,
451
+ "regime": "Local-Only"
452
+ },
453
+ "50": {
454
+ "s_local": 0.3799,
455
+ "regime": "Local-Only"
456
+ },
457
+ "100": {
458
+ "s_local": 0.4087,
459
+ "regime": "Local-Only"
460
+ }
461
+ }
462
+ }
463
+ ]
464
+ }
data/experiments/metric_ablation.json ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "n_pairs": 10,
3
+ "results": [
4
+ {
5
+ "pair": "clip_vitb16 <-> clip_vitl14",
6
+ "tau_atlas": 0.468,
7
+ "perf_linear_r2_perdim": 0.327,
8
+ "perf_linear_cosine": 0.9095,
9
+ "perf_linear_procrustes_dist": 0.5886,
10
+ "cca_mean": 0.6522
11
+ },
12
+ {
13
+ "pair": "resnet50 <-> resnet101",
14
+ "tau_atlas": 0.5445,
15
+ "perf_linear_r2_perdim": 0.0969,
16
+ "perf_linear_cosine": 0.7059,
17
+ "perf_linear_procrustes_dist": 0.5322,
18
+ "cca_mean": 0.9941
19
+ },
20
+ {
21
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
22
+ "tau_atlas": 0.4073,
23
+ "perf_linear_r2_perdim": 0.0701,
24
+ "perf_linear_cosine": 0.5592,
25
+ "perf_linear_procrustes_dist": 0.5149,
26
+ "cca_mean": 0.7564
27
+ },
28
+ {
29
+ "pair": "convnext_base <-> convnext_large",
30
+ "tau_atlas": 0.8475,
31
+ "perf_linear_r2_perdim": 0.3942,
32
+ "perf_linear_cosine": 0.7591,
33
+ "perf_linear_procrustes_dist": 0.6265,
34
+ "cca_mean": 0.7126
35
+ },
36
+ {
37
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
38
+ "tau_atlas": 0.0449,
39
+ "perf_linear_r2_perdim": 0.0079,
40
+ "perf_linear_cosine": 0.7826,
41
+ "perf_linear_procrustes_dist": 0.4958,
42
+ "cca_mean": 0.7863
43
+ },
44
+ {
45
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
46
+ "tau_atlas": 0.0024,
47
+ "perf_linear_r2_perdim": 0.0274,
48
+ "perf_linear_cosine": 0.5584,
49
+ "perf_linear_procrustes_dist": 0.3794,
50
+ "cca_mean": 0.4586
51
+ },
52
+ {
53
+ "pair": "beit_base_patch16_224 <-> resnet50",
54
+ "tau_atlas": 0.2277,
55
+ "perf_linear_r2_perdim": 0.0043,
56
+ "perf_linear_cosine": 0.6273,
57
+ "perf_linear_procrustes_dist": 0.4309,
58
+ "cca_mean": 0.7052
59
+ },
60
+ {
61
+ "pair": "clip_vitb32 <-> dinov2_vits14",
62
+ "tau_atlas": 0.0099,
63
+ "perf_linear_r2_perdim": 0.2507,
64
+ "perf_linear_cosine": 0.6024,
65
+ "perf_linear_procrustes_dist": 0.5047,
66
+ "cca_mean": 0.6911
67
+ },
68
+ {
69
+ "pair": "mixer_b16_224 <-> vit_base_patch16_224",
70
+ "tau_atlas": 0.179,
71
+ "perf_linear_r2_perdim": 0.0462,
72
+ "perf_linear_cosine": 0.6604,
73
+ "perf_linear_procrustes_dist": 0.5005,
74
+ "cca_mean": 0.6745
75
+ },
76
+ {
77
+ "pair": "efficientnet_b0 <-> swin_base_patch4_window7_224",
78
+ "tau_atlas": 0.3716,
79
+ "perf_linear_r2_perdim": 0.0579,
80
+ "perf_linear_cosine": 0.6211,
81
+ "perf_linear_procrustes_dist": 0.4959,
82
+ "cca_mean": 0.8218
83
+ }
84
+ ],
85
+ "rank_correlations": {
86
+ "perf_linear_r2_perdim_vs_perf_linear_cosine": {
87
+ "kendall_tau": 0.2,
88
+ "spearman_rho": 0.2727
89
+ },
90
+ "perf_linear_r2_perdim_vs_perf_linear_procrustes_dist": {
91
+ "kendall_tau": 0.7778,
92
+ "spearman_rho": 0.9152
93
+ },
94
+ "perf_linear_r2_perdim_vs_cca_mean": {
95
+ "kendall_tau": 0.0222,
96
+ "spearman_rho": 0.0061
97
+ },
98
+ "perf_linear_cosine_vs_perf_linear_procrustes_dist": {
99
+ "kendall_tau": 0.3333,
100
+ "spearman_rho": 0.4788
101
+ },
102
+ "perf_linear_cosine_vs_cca_mean": {
103
+ "kendall_tau": 0.1111,
104
+ "spearman_rho": 0.1636
105
+ },
106
+ "perf_linear_procrustes_dist_vs_cca_mean": {
107
+ "kendall_tau": 0.1556,
108
+ "spearman_rho": 0.1758
109
+ }
110
+ }
111
+ }
data/experiments/mixed_effects_analysis.json ADDED
@@ -0,0 +1,219 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "Mixed-effects, block bootstrap, and LOO analysis of BCCT vision atlas",
3
+ "source": "data/atlas.json",
4
+ "n_pairs": 190,
5
+ "n_models": 20,
6
+ "mixed_effects": {
7
+ "formula": "tau ~ delta + same_obj + same_fam + (1|model_node)",
8
+ "n_obs": 190,
9
+ "n_obs_duplicated": 380,
10
+ "n_groups": 20,
11
+ "aic": -505.12,
12
+ "bic": -481.48,
13
+ "log_likelihood": 258.56,
14
+ "fixed_effects": {
15
+ "intercept": {
16
+ "coef": 0.1461,
17
+ "std_err": 0.0138,
18
+ "z": 10.577,
19
+ "p_value": 3.8e-26,
20
+ "ci_95": [
21
+ 0.119,
22
+ 0.1731
23
+ ]
24
+ },
25
+ "delta": {
26
+ "coef": -0.0337,
27
+ "std_err": 0.0044,
28
+ "z": -7.724,
29
+ "p_value": 1.13e-14,
30
+ "ci_95": [
31
+ -0.0422,
32
+ -0.0251
33
+ ]
34
+ },
35
+ "same_obj": {
36
+ "coef": 0.0424,
37
+ "std_err": 0.0186,
38
+ "z": 2.279,
39
+ "p_value": 0.0227,
40
+ "ci_95": [
41
+ 0.0059,
42
+ 0.0788
43
+ ]
44
+ },
45
+ "same_fam": {
46
+ "coef": 0.2013,
47
+ "std_err": 0.0237,
48
+ "z": 8.483,
49
+ "p_value": 2.2e-17,
50
+ "ci_95": [
51
+ 0.1548,
52
+ 0.2479
53
+ ]
54
+ }
55
+ },
56
+ "random_effect_variance": 0.001383,
57
+ "lrt_for_delta": {
58
+ "chi2": 55.07,
59
+ "df": 1,
60
+ "p_value": 1.1628949457601319e-13,
61
+ "method": "likelihood_ratio",
62
+ "interpretation": "bitrate adds significant variance beyond family/objective"
63
+ }
64
+ },
65
+ "block_bootstrap_all_pairs": {
66
+ "subset": "all_pairs",
67
+ "n_pairs": 190,
68
+ "n_bootstraps_valid": 2000,
69
+ "n_bootstraps_requested": 2000,
70
+ "median_rho": -0.7021,
71
+ "mean_rho": -0.684,
72
+ "ci_95": [
73
+ -0.8169,
74
+ -0.4272
75
+ ]
76
+ },
77
+ "block_bootstrap_same_obj": {
78
+ "subset": "same_obj",
79
+ "n_pairs": 67,
80
+ "n_bootstraps_valid": 2000,
81
+ "n_bootstraps_requested": 2000,
82
+ "median_rho": -0.7096,
83
+ "mean_rho": -0.6697,
84
+ "ci_95": [
85
+ -0.8698,
86
+ -0.2991
87
+ ]
88
+ },
89
+ "leave_one_out": {
90
+ "per_model": [
91
+ {
92
+ "held_out": "beit_base_patch16_224",
93
+ "n_pairs": 171,
94
+ "rho": -0.7127,
95
+ "p_value": 8.17e-28
96
+ },
97
+ {
98
+ "held_out": "beit_large_patch16_224",
99
+ "n_pairs": 171,
100
+ "rho": -0.7333,
101
+ "p_value": 4.03e-30
102
+ },
103
+ {
104
+ "held_out": "clip_vitb16",
105
+ "n_pairs": 171,
106
+ "rho": -0.7211,
107
+ "p_value": 9.78e-29
108
+ },
109
+ {
110
+ "held_out": "clip_vitb32",
111
+ "n_pairs": 171,
112
+ "rho": -0.7227,
113
+ "p_value": 6.58e-29
114
+ },
115
+ {
116
+ "held_out": "clip_vitl14",
117
+ "n_pairs": 171,
118
+ "rho": -0.7564,
119
+ "p_value": 5.62e-33
120
+ },
121
+ {
122
+ "held_out": "convnext_base",
123
+ "n_pairs": 171,
124
+ "rho": -0.6948,
125
+ "p_value": 5.67e-26
126
+ },
127
+ {
128
+ "held_out": "convnext_large",
129
+ "n_pairs": 171,
130
+ "rho": -0.691,
131
+ "p_value": 1.34e-25
132
+ },
133
+ {
134
+ "held_out": "dinov2_vitb14",
135
+ "n_pairs": 171,
136
+ "rho": -0.7118,
137
+ "p_value": 1e-27
138
+ },
139
+ {
140
+ "held_out": "dinov2_vitg14",
141
+ "n_pairs": 171,
142
+ "rho": -0.7179,
143
+ "p_value": 2.2e-28
144
+ },
145
+ {
146
+ "held_out": "dinov2_vitl14",
147
+ "n_pairs": 171,
148
+ "rho": -0.7129,
149
+ "p_value": 7.77e-28
150
+ },
151
+ {
152
+ "held_out": "dinov2_vits14",
153
+ "n_pairs": 171,
154
+ "rho": -0.7473,
155
+ "p_value": 8.2e-32
156
+ },
157
+ {
158
+ "held_out": "efficientnet_b0",
159
+ "n_pairs": 171,
160
+ "rho": -0.694,
161
+ "p_value": 6.7e-26
162
+ },
163
+ {
164
+ "held_out": "mixer_b16_224",
165
+ "n_pairs": 171,
166
+ "rho": -0.7175,
167
+ "p_value": 2.44e-28
168
+ },
169
+ {
170
+ "held_out": "resnet101",
171
+ "n_pairs": 171,
172
+ "rho": -0.7057,
173
+ "p_value": 4.43e-27
174
+ },
175
+ {
176
+ "held_out": "resnet50",
177
+ "n_pairs": 171,
178
+ "rho": -0.7148,
179
+ "p_value": 4.86e-28
180
+ },
181
+ {
182
+ "held_out": "swin_base_patch4_window7_224",
183
+ "n_pairs": 171,
184
+ "rho": -0.6946,
185
+ "p_value": 5.85e-26
186
+ },
187
+ {
188
+ "held_out": "vit_base_patch16_224",
189
+ "n_pairs": 171,
190
+ "rho": -0.7337,
191
+ "p_value": 3.61e-30
192
+ },
193
+ {
194
+ "held_out": "vit_base_patch16_224.mae",
195
+ "n_pairs": 171,
196
+ "rho": -0.6421,
197
+ "p_value": 2.98e-21
198
+ },
199
+ {
200
+ "held_out": "vit_large_patch16_224",
201
+ "n_pairs": 171,
202
+ "rho": -0.7351,
203
+ "p_value": 2.47e-30
204
+ },
205
+ {
206
+ "held_out": "vit_large_patch16_224.mae",
207
+ "n_pairs": 171,
208
+ "rho": -0.6544,
209
+ "p_value": 2.82e-22
210
+ }
211
+ ],
212
+ "n_models": 20,
213
+ "rho_range": [
214
+ -0.7564,
215
+ -0.6421
216
+ ],
217
+ "rho_median": -0.7138
218
+ }
219
+ }
data/experiments/model_selection_utility.json ADDED
@@ -0,0 +1,1062 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "Model selection utility: which metric best predicts stitching success?",
3
+ "per_target": [
4
+ {
5
+ "target": "resnet50",
6
+ "acc_native": 0.5288,
7
+ "n_candidates": 19,
8
+ "best_source": "dinov2_vitg14",
9
+ "best_acc": 0.875,
10
+ "metric_correlations": {
11
+ "tau": {
12
+ "rho": -0.015,
13
+ "p": 0.9517
14
+ },
15
+ "s_global": {
16
+ "rho": 0.147,
17
+ "p": 0.5471
18
+ },
19
+ "s_local": {
20
+ "rho": 0.312,
21
+ "p": 0.1942
22
+ },
23
+ "delta": {
24
+ "rho": 0.298,
25
+ "p": 0.2149
26
+ },
27
+ "tau_top1_match": false,
28
+ "tau_top1_source": "resnet101",
29
+ "tau_top1_acc": 0.5922,
30
+ "s_global_top1_match": false,
31
+ "s_global_top1_source": "resnet101",
32
+ "s_global_top1_acc": 0.5922,
33
+ "s_local_top1_match": false,
34
+ "s_local_top1_source": "resnet101",
35
+ "s_local_top1_acc": 0.5922
36
+ },
37
+ "candidates": [
38
+ {
39
+ "source": "beit_base_patch16_224",
40
+ "tau": 0.2277,
41
+ "s_global": 0.2377,
42
+ "delta": 2.239,
43
+ "s_local": 0.064,
44
+ "acc_stitched": 0.2834,
45
+ "retention": 0.5359
46
+ },
47
+ {
48
+ "source": "beit_large_patch16_224",
49
+ "tau": 0.3556,
50
+ "s_global": 0.302,
51
+ "delta": 1.55,
52
+ "s_local": 0.086,
53
+ "acc_stitched": 0.4116,
54
+ "retention": 0.7784
55
+ },
56
+ {
57
+ "source": "clip_vitb16",
58
+ "tau": 0.1145,
59
+ "s_global": 0.5235,
60
+ "delta": 1.264,
61
+ "s_local": 0.164,
62
+ "acc_stitched": 0.6568,
63
+ "retention": 1.2421
64
+ },
65
+ {
66
+ "source": "clip_vitb32",
67
+ "tau": 0.1145,
68
+ "s_global": 0.5147,
69
+ "delta": 1.25,
70
+ "s_local": 0.168,
71
+ "acc_stitched": 0.6274,
72
+ "retention": 1.1865
73
+ },
74
+ {
75
+ "source": "clip_vitl14",
76
+ "tau": 0.0961,
77
+ "s_global": 0.5379,
78
+ "delta": 0.663,
79
+ "s_local": 0.167,
80
+ "acc_stitched": 0.7454,
81
+ "retention": 1.4096
82
+ },
83
+ {
84
+ "source": "convnext_base",
85
+ "tau": 0.2342,
86
+ "s_global": 0.616,
87
+ "delta": 0.136,
88
+ "s_local": 0.232,
89
+ "acc_stitched": 0.7886,
90
+ "retention": 1.4913
91
+ },
92
+ {
93
+ "source": "convnext_large",
94
+ "tau": 0.2392,
95
+ "s_global": 0.6027,
96
+ "delta": 0.38,
97
+ "s_local": 0.23,
98
+ "acc_stitched": 0.7988,
99
+ "retention": 1.5106
100
+ },
101
+ {
102
+ "source": "dinov2_vitb14",
103
+ "tau": 0.1525,
104
+ "s_global": 0.4969,
105
+ "delta": 0.496,
106
+ "s_local": 0.193,
107
+ "acc_stitched": 0.8188,
108
+ "retention": 1.5484
109
+ },
110
+ {
111
+ "source": "dinov2_vitg14",
112
+ "tau": 0.3541,
113
+ "s_global": 0.3953,
114
+ "delta": 0.95,
115
+ "s_local": 0.166,
116
+ "acc_stitched": 0.875,
117
+ "retention": 1.6547
118
+ },
119
+ {
120
+ "source": "dinov2_vitl14",
121
+ "tau": 0.2237,
122
+ "s_global": 0.399,
123
+ "delta": 0.858,
124
+ "s_local": 0.171,
125
+ "acc_stitched": 0.8664,
126
+ "retention": 1.6384
127
+ },
128
+ {
129
+ "source": "dinov2_vits14",
130
+ "tau": 0.0886,
131
+ "s_global": 0.5644,
132
+ "delta": 0.353,
133
+ "s_local": 0.225,
134
+ "acc_stitched": 0.7374,
135
+ "retention": 1.3945
136
+ },
137
+ {
138
+ "source": "efficientnet_b0",
139
+ "tau": 0.4761,
140
+ "s_global": 0.7025,
141
+ "delta": 0.124,
142
+ "s_local": 0.3,
143
+ "acc_stitched": 0.575,
144
+ "retention": 1.0874
145
+ },
146
+ {
147
+ "source": "mixer_b16_224",
148
+ "tau": 0.4262,
149
+ "s_global": 0.6738,
150
+ "delta": 0.068,
151
+ "s_local": 0.229,
152
+ "acc_stitched": 0.4764,
153
+ "retention": 0.9009
154
+ },
155
+ {
156
+ "source": "resnet101",
157
+ "tau": 0.5445,
158
+ "s_global": 0.7468,
159
+ "delta": 0.489,
160
+ "s_local": 0.319,
161
+ "acc_stitched": 0.5922,
162
+ "retention": 1.1199
163
+ },
164
+ {
165
+ "source": "swin_base_patch4_window7_224",
166
+ "tau": 0.2863,
167
+ "s_global": 0.6064,
168
+ "delta": 0.294,
169
+ "s_local": 0.232,
170
+ "acc_stitched": 0.775,
171
+ "retention": 1.4656
172
+ },
173
+ {
174
+ "source": "vit_base_patch16_224",
175
+ "tau": 0.2533,
176
+ "s_global": 0.6391,
177
+ "delta": 0.335,
178
+ "s_local": 0.214,
179
+ "acc_stitched": 0.679,
180
+ "retention": 1.284
181
+ },
182
+ {
183
+ "source": "vit_base_patch16_224.mae",
184
+ "tau": 0.0038,
185
+ "s_global": 0.1715,
186
+ "delta": 6.456,
187
+ "s_local": 0.036,
188
+ "acc_stitched": 0.4438,
189
+ "retention": 0.8393
190
+ },
191
+ {
192
+ "source": "vit_large_patch16_224",
193
+ "tau": 0.2387,
194
+ "s_global": 0.5715,
195
+ "delta": 0.444,
196
+ "s_local": 0.189,
197
+ "acc_stitched": 0.8046,
198
+ "retention": 1.5216
199
+ },
200
+ {
201
+ "source": "vit_large_patch16_224.mae",
202
+ "tau": 0.0,
203
+ "s_global": 0.2724,
204
+ "delta": 3.206,
205
+ "s_local": 0.118,
206
+ "acc_stitched": 0.5162,
207
+ "retention": 0.9762
208
+ }
209
+ ]
210
+ },
211
+ {
212
+ "target": "vit_base_patch16_224",
213
+ "acc_native": 0.7008,
214
+ "n_candidates": 19,
215
+ "best_source": "dinov2_vitg14",
216
+ "best_acc": 0.8906,
217
+ "metric_correlations": {
218
+ "tau": {
219
+ "rho": 0.468,
220
+ "p": 0.04309
221
+ },
222
+ "s_global": {
223
+ "rho": 0.323,
224
+ "p": 0.1777
225
+ },
226
+ "s_local": {
227
+ "rho": 0.73,
228
+ "p": 0.0003898
229
+ },
230
+ "delta": {
231
+ "rho": 0.211,
232
+ "p": 0.387
233
+ },
234
+ "tau_top1_match": false,
235
+ "tau_top1_source": "swin_base_patch4_window7_224",
236
+ "tau_top1_acc": 0.7832,
237
+ "s_global_top1_match": false,
238
+ "s_global_top1_source": "convnext_base",
239
+ "s_global_top1_acc": 0.794,
240
+ "s_local_top1_match": false,
241
+ "s_local_top1_source": "convnext_base",
242
+ "s_local_top1_acc": 0.794
243
+ },
244
+ "candidates": [
245
+ {
246
+ "source": "beit_base_patch16_224",
247
+ "tau": 0.0175,
248
+ "s_global": 0.2282,
249
+ "delta": 1.904,
250
+ "s_local": 0.061,
251
+ "acc_stitched": 0.3302,
252
+ "retention": 0.4712
253
+ },
254
+ {
255
+ "source": "beit_large_patch16_224",
256
+ "tau": 0.039,
257
+ "s_global": 0.3026,
258
+ "delta": 1.215,
259
+ "s_local": 0.102,
260
+ "acc_stitched": 0.4514,
261
+ "retention": 0.6441
262
+ },
263
+ {
264
+ "source": "clip_vitb16",
265
+ "tau": 0.0185,
266
+ "s_global": 0.5252,
267
+ "delta": 0.929,
268
+ "s_local": 0.193,
269
+ "acc_stitched": 0.6832,
270
+ "retention": 0.9749
271
+ },
272
+ {
273
+ "source": "clip_vitb32",
274
+ "tau": 0.0082,
275
+ "s_global": 0.4984,
276
+ "delta": 0.915,
277
+ "s_local": 0.18,
278
+ "acc_stitched": 0.6476,
279
+ "retention": 0.9241
280
+ },
281
+ {
282
+ "source": "clip_vitl14",
283
+ "tau": 0.0051,
284
+ "s_global": 0.5553,
285
+ "delta": 0.327,
286
+ "s_local": 0.217,
287
+ "acc_stitched": 0.7606,
288
+ "retention": 1.0853
289
+ },
290
+ {
291
+ "source": "convnext_base",
292
+ "tau": 0.4549,
293
+ "s_global": 0.6964,
294
+ "delta": 0.472,
295
+ "s_local": 0.336,
296
+ "acc_stitched": 0.794,
297
+ "retention": 1.133
298
+ },
299
+ {
300
+ "source": "convnext_large",
301
+ "tau": 0.5269,
302
+ "s_global": 0.6845,
303
+ "delta": 0.715,
304
+ "s_local": 0.333,
305
+ "acc_stitched": 0.8116,
306
+ "retention": 1.1581
307
+ },
308
+ {
309
+ "source": "dinov2_vitb14",
310
+ "tau": 0.1219,
311
+ "s_global": 0.558,
312
+ "delta": 0.831,
313
+ "s_local": 0.287,
314
+ "acc_stitched": 0.8292,
315
+ "retention": 1.1832
316
+ },
317
+ {
318
+ "source": "dinov2_vitg14",
319
+ "tau": 0.2689,
320
+ "s_global": 0.4728,
321
+ "delta": 1.285,
322
+ "s_local": 0.253,
323
+ "acc_stitched": 0.8906,
324
+ "retention": 1.2708
325
+ },
326
+ {
327
+ "source": "dinov2_vitl14",
328
+ "tau": 0.3037,
329
+ "s_global": 0.4764,
330
+ "delta": 1.194,
331
+ "s_local": 0.258,
332
+ "acc_stitched": 0.8764,
333
+ "retention": 1.2506
334
+ },
335
+ {
336
+ "source": "dinov2_vits14",
337
+ "tau": 0.0685,
338
+ "s_global": 0.5833,
339
+ "delta": 0.018,
340
+ "s_local": 0.29,
341
+ "acc_stitched": 0.7508,
342
+ "retention": 1.0713
343
+ },
344
+ {
345
+ "source": "efficientnet_b0",
346
+ "tau": 0.3528,
347
+ "s_global": 0.5973,
348
+ "delta": 0.459,
349
+ "s_local": 0.237,
350
+ "acc_stitched": 0.593,
351
+ "retention": 0.8462
352
+ },
353
+ {
354
+ "source": "mixer_b16_224",
355
+ "tau": 0.179,
356
+ "s_global": 0.6675,
357
+ "delta": 0.268,
358
+ "s_local": 0.225,
359
+ "acc_stitched": 0.5286,
360
+ "retention": 0.7543
361
+ },
362
+ {
363
+ "source": "resnet101",
364
+ "tau": 0.3564,
365
+ "s_global": 0.6843,
366
+ "delta": 0.824,
367
+ "s_local": 0.259,
368
+ "acc_stitched": 0.6294,
369
+ "retention": 0.8981
370
+ },
371
+ {
372
+ "source": "resnet50",
373
+ "tau": 0.2533,
374
+ "s_global": 0.6391,
375
+ "delta": 0.335,
376
+ "s_local": 0.214,
377
+ "acc_stitched": 0.573,
378
+ "retention": 0.8176
379
+ },
380
+ {
381
+ "source": "swin_base_patch4_window7_224",
382
+ "tau": 0.5442,
383
+ "s_global": 0.6761,
384
+ "delta": 0.629,
385
+ "s_local": 0.335,
386
+ "acc_stitched": 0.7832,
387
+ "retention": 1.1176
388
+ },
389
+ {
390
+ "source": "vit_base_patch16_224.mae",
391
+ "tau": 0.0024,
392
+ "s_global": 0.1539,
393
+ "delta": 6.121,
394
+ "s_local": 0.027,
395
+ "acc_stitched": 0.4598,
396
+ "retention": 0.6561
397
+ },
398
+ {
399
+ "source": "vit_large_patch16_224",
400
+ "tau": 0.219,
401
+ "s_global": 0.6639,
402
+ "delta": 0.108,
403
+ "s_local": 0.302,
404
+ "acc_stitched": 0.8146,
405
+ "retention": 1.1624
406
+ },
407
+ {
408
+ "source": "vit_large_patch16_224.mae",
409
+ "tau": 0.0,
410
+ "s_global": 0.2167,
411
+ "delta": 2.871,
412
+ "s_local": 0.096,
413
+ "acc_stitched": 0.574,
414
+ "retention": 0.8191
415
+ }
416
+ ]
417
+ },
418
+ {
419
+ "target": "clip_vitb16",
420
+ "acc_native": 0.6906,
421
+ "n_candidates": 19,
422
+ "best_source": "dinov2_vitg14",
423
+ "best_acc": 0.8882,
424
+ "metric_correlations": {
425
+ "tau": {
426
+ "rho": 0.119,
427
+ "p": 0.6266
428
+ },
429
+ "s_global": {
430
+ "rho": 0.337,
431
+ "p": 0.1585
432
+ },
433
+ "s_local": {
434
+ "rho": 0.699,
435
+ "p": 0.0008781
436
+ },
437
+ "delta": {
438
+ "rho": -0.272,
439
+ "p": 0.2601
440
+ },
441
+ "tau_top1_match": false,
442
+ "tau_top1_source": "clip_vitb32",
443
+ "tau_top1_acc": 0.6534,
444
+ "s_global_top1_match": false,
445
+ "s_global_top1_source": "clip_vitl14",
446
+ "s_global_top1_acc": 0.7646,
447
+ "s_local_top1_match": false,
448
+ "s_local_top1_source": "clip_vitl14",
449
+ "s_local_top1_acc": 0.7646
450
+ },
451
+ "candidates": [
452
+ {
453
+ "source": "beit_base_patch16_224",
454
+ "tau": 0.041,
455
+ "s_global": 0.1565,
456
+ "delta": 0.975,
457
+ "s_local": 0.046,
458
+ "acc_stitched": 0.3284,
459
+ "retention": 0.4755
460
+ },
461
+ {
462
+ "source": "beit_large_patch16_224",
463
+ "tau": 0.0353,
464
+ "s_global": 0.1999,
465
+ "delta": 0.286,
466
+ "s_local": 0.069,
467
+ "acc_stitched": 0.4516,
468
+ "retention": 0.6539
469
+ },
470
+ {
471
+ "source": "clip_vitb32",
472
+ "tau": 0.744,
473
+ "s_global": 0.7132,
474
+ "delta": 0.014,
475
+ "s_local": 0.277,
476
+ "acc_stitched": 0.6534,
477
+ "retention": 0.9461
478
+ },
479
+ {
480
+ "source": "clip_vitl14",
481
+ "tau": 0.468,
482
+ "s_global": 0.7183,
483
+ "delta": 0.601,
484
+ "s_local": 0.291,
485
+ "acc_stitched": 0.7646,
486
+ "retention": 1.1072
487
+ },
488
+ {
489
+ "source": "convnext_base",
490
+ "tau": 0.0261,
491
+ "s_global": 0.5483,
492
+ "delta": 1.4,
493
+ "s_local": 0.225,
494
+ "acc_stitched": 0.7892,
495
+ "retention": 1.1428
496
+ },
497
+ {
498
+ "source": "convnext_large",
499
+ "tau": 0.024,
500
+ "s_global": 0.5338,
501
+ "delta": 1.644,
502
+ "s_local": 0.229,
503
+ "acc_stitched": 0.8104,
504
+ "retention": 1.1735
505
+ },
506
+ {
507
+ "source": "dinov2_vitb14",
508
+ "tau": 0.0449,
509
+ "s_global": 0.4886,
510
+ "delta": 1.76,
511
+ "s_local": 0.224,
512
+ "acc_stitched": 0.829,
513
+ "retention": 1.2004
514
+ },
515
+ {
516
+ "source": "dinov2_vitg14",
517
+ "tau": 0.1047,
518
+ "s_global": 0.4103,
519
+ "delta": 2.214,
520
+ "s_local": 0.198,
521
+ "acc_stitched": 0.8882,
522
+ "retention": 1.2861
523
+ },
524
+ {
525
+ "source": "dinov2_vitl14",
526
+ "tau": 0.0941,
527
+ "s_global": 0.4092,
528
+ "delta": 2.122,
529
+ "s_local": 0.202,
530
+ "acc_stitched": 0.8754,
531
+ "retention": 1.2676
532
+ },
533
+ {
534
+ "source": "dinov2_vits14",
535
+ "tau": 0.0164,
536
+ "s_global": 0.5223,
537
+ "delta": 0.911,
538
+ "s_local": 0.23,
539
+ "acc_stitched": 0.7454,
540
+ "retention": 1.0794
541
+ },
542
+ {
543
+ "source": "efficientnet_b0",
544
+ "tau": 0.0845,
545
+ "s_global": 0.4978,
546
+ "delta": 1.388,
547
+ "s_local": 0.175,
548
+ "acc_stitched": 0.5948,
549
+ "retention": 0.8613
550
+ },
551
+ {
552
+ "source": "mixer_b16_224",
553
+ "tau": 0.0726,
554
+ "s_global": 0.478,
555
+ "delta": 1.196,
556
+ "s_local": 0.146,
557
+ "acc_stitched": 0.5248,
558
+ "retention": 0.7599
559
+ },
560
+ {
561
+ "source": "resnet101",
562
+ "tau": 0.0775,
563
+ "s_global": 0.5628,
564
+ "delta": 1.753,
565
+ "s_local": 0.183,
566
+ "acc_stitched": 0.6224,
567
+ "retention": 0.9012
568
+ },
569
+ {
570
+ "source": "resnet50",
571
+ "tau": 0.1145,
572
+ "s_global": 0.5235,
573
+ "delta": 1.264,
574
+ "s_local": 0.164,
575
+ "acc_stitched": 0.5654,
576
+ "retention": 0.8187
577
+ },
578
+ {
579
+ "source": "swin_base_patch4_window7_224",
580
+ "tau": 0.0404,
581
+ "s_global": 0.5673,
582
+ "delta": 1.558,
583
+ "s_local": 0.231,
584
+ "acc_stitched": 0.7848,
585
+ "retention": 1.1364
586
+ },
587
+ {
588
+ "source": "vit_base_patch16_224",
589
+ "tau": 0.0185,
590
+ "s_global": 0.5252,
591
+ "delta": 0.929,
592
+ "s_local": 0.193,
593
+ "acc_stitched": 0.6942,
594
+ "retention": 1.0052
595
+ },
596
+ {
597
+ "source": "vit_base_patch16_224.mae",
598
+ "tau": 0.003,
599
+ "s_global": 0.1245,
600
+ "delta": 5.192,
601
+ "s_local": 0.025,
602
+ "acc_stitched": 0.4618,
603
+ "retention": 0.6687
604
+ },
605
+ {
606
+ "source": "vit_large_patch16_224",
607
+ "tau": 0.0095,
608
+ "s_global": 0.5175,
609
+ "delta": 0.82,
610
+ "s_local": 0.202,
611
+ "acc_stitched": 0.817,
612
+ "retention": 1.183
613
+ },
614
+ {
615
+ "source": "vit_large_patch16_224.mae",
616
+ "tau": 0.0004,
617
+ "s_global": 0.1912,
618
+ "delta": 1.942,
619
+ "s_local": 0.092,
620
+ "acc_stitched": 0.5742,
621
+ "retention": 0.8315
622
+ }
623
+ ]
624
+ },
625
+ {
626
+ "target": "dinov2_vitb14",
627
+ "acc_native": 0.8292,
628
+ "n_candidates": 19,
629
+ "best_source": "dinov2_vitg14",
630
+ "best_acc": 0.8928,
631
+ "metric_correlations": {
632
+ "tau": {
633
+ "rho": 0.596,
634
+ "p": 0.007023
635
+ },
636
+ "s_global": {
637
+ "rho": 0.872,
638
+ "p": 1.15e-06
639
+ },
640
+ "s_local": {
641
+ "rho": 0.944,
642
+ "p": 1.254e-09
643
+ },
644
+ "delta": {
645
+ "rho": 0.565,
646
+ "p": 0.01173
647
+ },
648
+ "tau_top1_match": false,
649
+ "tau_top1_source": "dinov2_vits14",
650
+ "tau_top1_acc": 0.762,
651
+ "s_global_top1_match": false,
652
+ "s_global_top1_source": "dinov2_vits14",
653
+ "s_global_top1_acc": 0.762,
654
+ "s_local_top1_match": false,
655
+ "s_local_top1_source": "dinov2_vitl14",
656
+ "s_local_top1_acc": 0.8742
657
+ },
658
+ "candidates": [
659
+ {
660
+ "source": "beit_base_patch16_224",
661
+ "tau": 0.0417,
662
+ "s_global": 0.1373,
663
+ "delta": 2.735,
664
+ "s_local": 0.046,
665
+ "acc_stitched": 0.3276,
666
+ "retention": 0.3951
667
+ },
668
+ {
669
+ "source": "beit_large_patch16_224",
670
+ "tau": 0.0446,
671
+ "s_global": 0.1889,
672
+ "delta": 2.046,
673
+ "s_local": 0.08,
674
+ "acc_stitched": 0.4522,
675
+ "retention": 0.5453
676
+ },
677
+ {
678
+ "source": "clip_vitb16",
679
+ "tau": 0.0449,
680
+ "s_global": 0.4886,
681
+ "delta": 1.76,
682
+ "s_local": 0.224,
683
+ "acc_stitched": 0.6794,
684
+ "retention": 0.8193
685
+ },
686
+ {
687
+ "source": "clip_vitb32",
688
+ "tau": 0.0308,
689
+ "s_global": 0.4568,
690
+ "delta": 1.746,
691
+ "s_local": 0.197,
692
+ "acc_stitched": 0.6474,
693
+ "retention": 0.7808
694
+ },
695
+ {
696
+ "source": "clip_vitl14",
697
+ "tau": 0.0121,
698
+ "s_global": 0.5503,
699
+ "delta": 1.158,
700
+ "s_local": 0.287,
701
+ "acc_stitched": 0.764,
702
+ "retention": 0.9214
703
+ },
704
+ {
705
+ "source": "convnext_base",
706
+ "tau": 0.2182,
707
+ "s_global": 0.6692,
708
+ "delta": 0.359,
709
+ "s_local": 0.41,
710
+ "acc_stitched": 0.7972,
711
+ "retention": 0.9614
712
+ },
713
+ {
714
+ "source": "convnext_large",
715
+ "tau": 0.1975,
716
+ "s_global": 0.6637,
717
+ "delta": 0.116,
718
+ "s_local": 0.416,
719
+ "acc_stitched": 0.8128,
720
+ "retention": 0.9802
721
+ },
722
+ {
723
+ "source": "dinov2_vitg14",
724
+ "tau": 0.355,
725
+ "s_global": 0.6713,
726
+ "delta": 0.454,
727
+ "s_local": 0.479,
728
+ "acc_stitched": 0.8928,
729
+ "retention": 1.0767
730
+ },
731
+ {
732
+ "source": "dinov2_vitl14",
733
+ "tau": 0.4073,
734
+ "s_global": 0.6823,
735
+ "delta": 0.363,
736
+ "s_local": 0.514,
737
+ "acc_stitched": 0.8742,
738
+ "retention": 1.0543
739
+ },
740
+ {
741
+ "source": "dinov2_vits14",
742
+ "tau": 0.5372,
743
+ "s_global": 0.7086,
744
+ "delta": 0.849,
745
+ "s_local": 0.461,
746
+ "acc_stitched": 0.762,
747
+ "retention": 0.919
748
+ },
749
+ {
750
+ "source": "efficientnet_b0",
751
+ "tau": 0.1618,
752
+ "s_global": 0.5169,
753
+ "delta": 0.372,
754
+ "s_local": 0.22,
755
+ "acc_stitched": 0.5942,
756
+ "retention": 0.7166
757
+ },
758
+ {
759
+ "source": "mixer_b16_224",
760
+ "tau": 0.0878,
761
+ "s_global": 0.4627,
762
+ "delta": 0.563,
763
+ "s_local": 0.176,
764
+ "acc_stitched": 0.528,
765
+ "retention": 0.6368
766
+ },
767
+ {
768
+ "source": "resnet101",
769
+ "tau": 0.2055,
770
+ "s_global": 0.5659,
771
+ "delta": 0.006,
772
+ "s_local": 0.245,
773
+ "acc_stitched": 0.6366,
774
+ "retention": 0.7677
775
+ },
776
+ {
777
+ "source": "resnet50",
778
+ "tau": 0.1525,
779
+ "s_global": 0.4969,
780
+ "delta": 0.496,
781
+ "s_local": 0.193,
782
+ "acc_stitched": 0.5738,
783
+ "retention": 0.692
784
+ },
785
+ {
786
+ "source": "swin_base_patch4_window7_224",
787
+ "tau": 0.0816,
788
+ "s_global": 0.6451,
789
+ "delta": 0.202,
790
+ "s_local": 0.392,
791
+ "acc_stitched": 0.7838,
792
+ "retention": 0.9452
793
+ },
794
+ {
795
+ "source": "vit_base_patch16_224",
796
+ "tau": 0.1219,
797
+ "s_global": 0.558,
798
+ "delta": 0.831,
799
+ "s_local": 0.287,
800
+ "acc_stitched": 0.6968,
801
+ "retention": 0.8403
802
+ },
803
+ {
804
+ "source": "vit_base_patch16_224.mae",
805
+ "tau": 0.0038,
806
+ "s_global": 0.1168,
807
+ "delta": 6.952,
808
+ "s_local": 0.022,
809
+ "acc_stitched": 0.4648,
810
+ "retention": 0.5605
811
+ },
812
+ {
813
+ "source": "vit_large_patch16_224",
814
+ "tau": 0.1323,
815
+ "s_global": 0.5783,
816
+ "delta": 0.939,
817
+ "s_local": 0.374,
818
+ "acc_stitched": 0.8186,
819
+ "retention": 0.9872
820
+ },
821
+ {
822
+ "source": "vit_large_patch16_224.mae",
823
+ "tau": 0.0,
824
+ "s_global": 0.1754,
825
+ "delta": 3.702,
826
+ "s_local": 0.086,
827
+ "acc_stitched": 0.5656,
828
+ "retention": 0.6821
829
+ }
830
+ ]
831
+ },
832
+ {
833
+ "target": "beit_base_patch16_224",
834
+ "acc_native": 0.3356,
835
+ "n_candidates": 19,
836
+ "best_source": "dinov2_vitg14",
837
+ "best_acc": 0.8894,
838
+ "metric_correlations": {
839
+ "tau": {
840
+ "rho": -0.419,
841
+ "p": 0.07379
842
+ },
843
+ "s_global": {
844
+ "rho": -0.754,
845
+ "p": 0.0001901
846
+ },
847
+ "s_local": {
848
+ "rho": -0.714,
849
+ "p": 0.0006018
850
+ },
851
+ "delta": {
852
+ "rho": -0.396,
853
+ "p": 0.09283
854
+ },
855
+ "tau_top1_match": false,
856
+ "tau_top1_source": "beit_large_patch16_224",
857
+ "tau_top1_acc": 0.4532,
858
+ "s_global_top1_match": false,
859
+ "s_global_top1_source": "beit_large_patch16_224",
860
+ "s_global_top1_acc": 0.4532,
861
+ "s_local_top1_match": false,
862
+ "s_local_top1_source": "beit_large_patch16_224",
863
+ "s_local_top1_acc": 0.4532
864
+ },
865
+ "candidates": [
866
+ {
867
+ "source": "beit_large_patch16_224",
868
+ "tau": 0.3613,
869
+ "s_global": 0.7855,
870
+ "delta": 0.689,
871
+ "s_local": 0.238,
872
+ "acc_stitched": 0.4532,
873
+ "retention": 1.3504
874
+ },
875
+ {
876
+ "source": "clip_vitb16",
877
+ "tau": 0.041,
878
+ "s_global": 0.1565,
879
+ "delta": 0.975,
880
+ "s_local": 0.046,
881
+ "acc_stitched": 0.6758,
882
+ "retention": 2.0137
883
+ },
884
+ {
885
+ "source": "clip_vitb32",
886
+ "tau": 0.0,
887
+ "s_global": 0.1798,
888
+ "delta": 0.989,
889
+ "s_local": 0.048,
890
+ "acc_stitched": 0.6444,
891
+ "retention": 1.9201
892
+ },
893
+ {
894
+ "source": "clip_vitl14",
895
+ "tau": 0.0,
896
+ "s_global": 0.1683,
897
+ "delta": 1.576,
898
+ "s_local": 0.046,
899
+ "acc_stitched": 0.7666,
900
+ "retention": 2.2843
901
+ },
902
+ {
903
+ "source": "convnext_base",
904
+ "tau": 0.0213,
905
+ "s_global": 0.1636,
906
+ "delta": 2.375,
907
+ "s_local": 0.051,
908
+ "acc_stitched": 0.7956,
909
+ "retention": 2.3707
910
+ },
911
+ {
912
+ "source": "convnext_large",
913
+ "tau": 0.0159,
914
+ "s_global": 0.1601,
915
+ "delta": 2.619,
916
+ "s_local": 0.052,
917
+ "acc_stitched": 0.8078,
918
+ "retention": 2.407
919
+ },
920
+ {
921
+ "source": "dinov2_vitb14",
922
+ "tau": 0.0417,
923
+ "s_global": 0.1373,
924
+ "delta": 2.735,
925
+ "s_local": 0.046,
926
+ "acc_stitched": 0.827,
927
+ "retention": 2.4642
928
+ },
929
+ {
930
+ "source": "dinov2_vitg14",
931
+ "tau": 0.0,
932
+ "s_global": 0.1181,
933
+ "delta": 3.189,
934
+ "s_local": 0.042,
935
+ "acc_stitched": 0.8894,
936
+ "retention": 2.6502
937
+ },
938
+ {
939
+ "source": "dinov2_vitl14",
940
+ "tau": 0.0,
941
+ "s_global": 0.1182,
942
+ "delta": 3.097,
943
+ "s_local": 0.042,
944
+ "acc_stitched": 0.8792,
945
+ "retention": 2.6198
946
+ },
947
+ {
948
+ "source": "dinov2_vits14",
949
+ "tau": 0.015,
950
+ "s_global": 0.1682,
951
+ "delta": 1.886,
952
+ "s_local": 0.052,
953
+ "acc_stitched": 0.7584,
954
+ "retention": 2.2598
955
+ },
956
+ {
957
+ "source": "efficientnet_b0",
958
+ "tau": 0.0583,
959
+ "s_global": 0.2009,
960
+ "delta": 2.363,
961
+ "s_local": 0.063,
962
+ "acc_stitched": 0.5842,
963
+ "retention": 1.7408
964
+ },
965
+ {
966
+ "source": "mixer_b16_224",
967
+ "tau": 0.0416,
968
+ "s_global": 0.2191,
969
+ "delta": 2.172,
970
+ "s_local": 0.062,
971
+ "acc_stitched": 0.524,
972
+ "retention": 1.5614
973
+ },
974
+ {
975
+ "source": "resnet101",
976
+ "tau": 0.0812,
977
+ "s_global": 0.1919,
978
+ "delta": 2.728,
979
+ "s_local": 0.058,
980
+ "acc_stitched": 0.6306,
981
+ "retention": 1.879
982
+ },
983
+ {
984
+ "source": "resnet50",
985
+ "tau": 0.2277,
986
+ "s_global": 0.2377,
987
+ "delta": 2.239,
988
+ "s_local": 0.064,
989
+ "acc_stitched": 0.561,
990
+ "retention": 1.6716
991
+ },
992
+ {
993
+ "source": "swin_base_patch4_window7_224",
994
+ "tau": 0.0269,
995
+ "s_global": 0.1723,
996
+ "delta": 2.533,
997
+ "s_local": 0.054,
998
+ "acc_stitched": 0.7854,
999
+ "retention": 2.3403
1000
+ },
1001
+ {
1002
+ "source": "vit_base_patch16_224",
1003
+ "tau": 0.0175,
1004
+ "s_global": 0.2282,
1005
+ "delta": 1.904,
1006
+ "s_local": 0.061,
1007
+ "acc_stitched": 0.6962,
1008
+ "retention": 2.0745
1009
+ },
1010
+ {
1011
+ "source": "vit_base_patch16_224.mae",
1012
+ "tau": 0.0037,
1013
+ "s_global": 0.1656,
1014
+ "delta": 4.217,
1015
+ "s_local": 0.05,
1016
+ "acc_stitched": 0.4624,
1017
+ "retention": 1.3778
1018
+ },
1019
+ {
1020
+ "source": "vit_large_patch16_224",
1021
+ "tau": 0.0133,
1022
+ "s_global": 0.1782,
1023
+ "delta": 1.795,
1024
+ "s_local": 0.05,
1025
+ "acc_stitched": 0.8132,
1026
+ "retention": 2.4231
1027
+ },
1028
+ {
1029
+ "source": "vit_large_patch16_224.mae",
1030
+ "tau": 0.0,
1031
+ "s_global": 0.6358,
1032
+ "delta": 0.967,
1033
+ "s_local": 0.109,
1034
+ "acc_stitched": 0.574,
1035
+ "retention": 1.7104
1036
+ }
1037
+ ]
1038
+ }
1039
+ ],
1040
+ "aggregated": {
1041
+ "tau": {
1042
+ "mean_rho": 0.15,
1043
+ "std_rho": 0.361,
1044
+ "n_targets": 5
1045
+ },
1046
+ "s_global": {
1047
+ "mean_rho": 0.185,
1048
+ "std_rho": 0.529,
1049
+ "n_targets": 5
1050
+ },
1051
+ "s_local": {
1052
+ "mean_rho": 0.394,
1053
+ "std_rho": 0.59,
1054
+ "n_targets": 5
1055
+ },
1056
+ "delta": {
1057
+ "mean_rho": 0.081,
1058
+ "std_rho": 0.361,
1059
+ "n_targets": 5
1060
+ }
1061
+ }
1062
+ }
data/experiments/p1_threshold.json ADDED
@@ -0,0 +1,2928 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "atlas_path": "data/atlas.json",
4
+ "causal_path": "data/experiments/causal_bitrate_verification.json"
5
+ },
6
+ "points": [
7
+ {
8
+ "pair": "beit_base_patch16_224 <-> beit_large_patch16_224",
9
+ "source": "atlas",
10
+ "delta": 0.689,
11
+ "tau": 0.3613,
12
+ "r_a": 5.866,
13
+ "r_b": 6.555,
14
+ "r_min": 5.866,
15
+ "delta_over_r_min": 0.11745652915103989,
16
+ "regime": "Local-Only"
17
+ },
18
+ {
19
+ "pair": "beit_base_patch16_224 <-> clip_vitb16",
20
+ "source": "atlas",
21
+ "delta": 0.975,
22
+ "tau": 0.041,
23
+ "r_a": 5.866,
24
+ "r_b": 6.841,
25
+ "r_min": 5.866,
26
+ "delta_over_r_min": 0.16621206955335835,
27
+ "regime": "Divergent"
28
+ },
29
+ {
30
+ "pair": "beit_base_patch16_224 <-> clip_vitb32",
31
+ "source": "atlas",
32
+ "delta": 0.989,
33
+ "tau": 0.0,
34
+ "r_a": 5.866,
35
+ "r_b": 6.855,
36
+ "r_min": 5.866,
37
+ "delta_over_r_min": 0.16859870439822708,
38
+ "regime": "Divergent"
39
+ },
40
+ {
41
+ "pair": "beit_base_patch16_224 <-> clip_vitl14",
42
+ "source": "atlas",
43
+ "delta": 1.576,
44
+ "tau": 0.0,
45
+ "r_a": 5.866,
46
+ "r_b": 7.442,
47
+ "r_min": 5.866,
48
+ "delta_over_r_min": 0.26866689396522336,
49
+ "regime": "Divergent"
50
+ },
51
+ {
52
+ "pair": "beit_base_patch16_224 <-> convnext_base",
53
+ "source": "atlas",
54
+ "delta": 2.375,
55
+ "tau": 0.0213,
56
+ "r_a": 5.866,
57
+ "r_b": 8.241,
58
+ "r_min": 5.866,
59
+ "delta_over_r_min": 0.40487555404023184,
60
+ "regime": "Local-Only"
61
+ },
62
+ {
63
+ "pair": "beit_base_patch16_224 <-> convnext_large",
64
+ "source": "atlas",
65
+ "delta": 2.619,
66
+ "tau": 0.0159,
67
+ "r_a": 5.866,
68
+ "r_b": 8.485,
69
+ "r_min": 5.866,
70
+ "delta_over_r_min": 0.44647118990794415,
71
+ "regime": "Local-Only"
72
+ },
73
+ {
74
+ "pair": "beit_base_patch16_224 <-> dinov2_vitb14",
75
+ "source": "atlas",
76
+ "delta": 2.735,
77
+ "tau": 0.0417,
78
+ "r_a": 5.866,
79
+ "r_b": 8.6,
80
+ "r_min": 5.866,
81
+ "delta_over_r_min": 0.46624616433685645,
82
+ "regime": "Divergent"
83
+ },
84
+ {
85
+ "pair": "beit_base_patch16_224 <-> dinov2_vitg14",
86
+ "source": "atlas",
87
+ "delta": 3.189,
88
+ "tau": 0.0,
89
+ "r_a": 5.866,
90
+ "r_b": 9.055,
91
+ "r_min": 5.866,
92
+ "delta_over_r_min": 0.5436413228775998,
93
+ "regime": "Divergent"
94
+ },
95
+ {
96
+ "pair": "beit_base_patch16_224 <-> dinov2_vitl14",
97
+ "source": "atlas",
98
+ "delta": 3.097,
99
+ "tau": 0.0,
100
+ "r_a": 5.866,
101
+ "r_b": 8.963,
102
+ "r_min": 5.866,
103
+ "delta_over_r_min": 0.5279577224684624,
104
+ "regime": "Divergent"
105
+ },
106
+ {
107
+ "pair": "beit_base_patch16_224 <-> dinov2_vits14",
108
+ "source": "atlas",
109
+ "delta": 1.886,
110
+ "tau": 0.015,
111
+ "r_a": 5.866,
112
+ "r_b": 7.752,
113
+ "r_min": 5.866,
114
+ "delta_over_r_min": 0.32151380838731675,
115
+ "regime": "Local-Only"
116
+ },
117
+ {
118
+ "pair": "beit_base_patch16_224 <-> efficientnet_b0",
119
+ "source": "atlas",
120
+ "delta": 2.363,
121
+ "tau": 0.0583,
122
+ "r_a": 5.866,
123
+ "r_b": 8.228,
124
+ "r_min": 5.866,
125
+ "delta_over_r_min": 0.4028298670303444,
126
+ "regime": "Local-Only"
127
+ },
128
+ {
129
+ "pair": "beit_base_patch16_224 <-> mixer_b16_224",
130
+ "source": "atlas",
131
+ "delta": 2.172,
132
+ "tau": 0.0416,
133
+ "r_a": 5.866,
134
+ "r_b": 8.037,
135
+ "r_min": 5.866,
136
+ "delta_over_r_min": 0.37026934878963524,
137
+ "regime": "Local-Only"
138
+ },
139
+ {
140
+ "pair": "beit_base_patch16_224 <-> resnet101",
141
+ "source": "atlas",
142
+ "delta": 2.728,
143
+ "tau": 0.0812,
144
+ "r_a": 5.866,
145
+ "r_b": 8.594,
146
+ "r_min": 5.866,
147
+ "delta_over_r_min": 0.46505284691442217,
148
+ "regime": "Local-Only"
149
+ },
150
+ {
151
+ "pair": "beit_base_patch16_224 <-> resnet50",
152
+ "source": "atlas",
153
+ "delta": 2.239,
154
+ "tau": 0.2277,
155
+ "r_a": 5.866,
156
+ "r_b": 8.105,
157
+ "r_min": 5.866,
158
+ "delta_over_r_min": 0.381691101261507,
159
+ "regime": "Local-Only"
160
+ },
161
+ {
162
+ "pair": "beit_base_patch16_224 <-> swin_base_patch4_window7_224",
163
+ "source": "atlas",
164
+ "delta": 2.533,
165
+ "tau": 0.0269,
166
+ "r_a": 5.866,
167
+ "r_b": 8.398,
168
+ "r_min": 5.866,
169
+ "delta_over_r_min": 0.43181043300375044,
170
+ "regime": "Local-Only"
171
+ },
172
+ {
173
+ "pair": "beit_base_patch16_224 <-> vit_base_patch16_224",
174
+ "source": "atlas",
175
+ "delta": 1.904,
176
+ "tau": 0.0175,
177
+ "r_a": 5.866,
178
+ "r_b": 7.77,
179
+ "r_min": 5.866,
180
+ "delta_over_r_min": 0.324582338902148,
181
+ "regime": "Local-Only"
182
+ },
183
+ {
184
+ "pair": "beit_base_patch16_224 <-> vit_base_patch16_224.mae",
185
+ "source": "atlas",
186
+ "delta": 4.217,
187
+ "tau": 0.0037,
188
+ "r_a": 5.866,
189
+ "r_b": 1.649,
190
+ "r_min": 1.649,
191
+ "delta_over_r_min": 2.5573074590661005,
192
+ "regime": "Local-Only"
193
+ },
194
+ {
195
+ "pair": "beit_base_patch16_224 <-> vit_large_patch16_224",
196
+ "source": "atlas",
197
+ "delta": 1.795,
198
+ "tau": 0.0133,
199
+ "r_a": 5.866,
200
+ "r_b": 7.661,
201
+ "r_min": 5.866,
202
+ "delta_over_r_min": 0.30600068189567,
203
+ "regime": "Divergent"
204
+ },
205
+ {
206
+ "pair": "beit_base_patch16_224 <-> vit_large_patch16_224.mae",
207
+ "source": "atlas",
208
+ "delta": 0.967,
209
+ "tau": 0.0,
210
+ "r_a": 5.866,
211
+ "r_b": 4.898,
212
+ "r_min": 4.898,
213
+ "delta_over_r_min": 0.19742752143732137,
214
+ "regime": "Local-Only"
215
+ },
216
+ {
217
+ "pair": "beit_large_patch16_224 <-> clip_vitb16",
218
+ "source": "atlas",
219
+ "delta": 0.286,
220
+ "tau": 0.0353,
221
+ "r_a": 6.555,
222
+ "r_b": 6.841,
223
+ "r_min": 6.555,
224
+ "delta_over_r_min": 0.04363081617086194,
225
+ "regime": "Local-Only"
226
+ },
227
+ {
228
+ "pair": "beit_large_patch16_224 <-> clip_vitb32",
229
+ "source": "atlas",
230
+ "delta": 0.3,
231
+ "tau": 0.0338,
232
+ "r_a": 6.555,
233
+ "r_b": 6.855,
234
+ "r_min": 6.555,
235
+ "delta_over_r_min": 0.04576659038901602,
236
+ "regime": "Local-Only"
237
+ },
238
+ {
239
+ "pair": "beit_large_patch16_224 <-> clip_vitl14",
240
+ "source": "atlas",
241
+ "delta": 0.887,
242
+ "tau": 0.0596,
243
+ "r_a": 6.555,
244
+ "r_b": 7.442,
245
+ "r_min": 6.555,
246
+ "delta_over_r_min": 0.1353165522501907,
247
+ "regime": "Local-Only"
248
+ },
249
+ {
250
+ "pair": "beit_large_patch16_224 <-> convnext_base",
251
+ "source": "atlas",
252
+ "delta": 1.687,
253
+ "tau": 0.025,
254
+ "r_a": 6.555,
255
+ "r_b": 8.241,
256
+ "r_min": 6.555,
257
+ "delta_over_r_min": 0.2573607932875668,
258
+ "regime": "Local-Only"
259
+ },
260
+ {
261
+ "pair": "beit_large_patch16_224 <-> convnext_large",
262
+ "source": "atlas",
263
+ "delta": 1.93,
264
+ "tau": 0.0196,
265
+ "r_a": 6.555,
266
+ "r_b": 8.485,
267
+ "r_min": 6.555,
268
+ "delta_over_r_min": 0.2944317315026697,
269
+ "regime": "Local-Only"
270
+ },
271
+ {
272
+ "pair": "beit_large_patch16_224 <-> dinov2_vitb14",
273
+ "source": "atlas",
274
+ "delta": 2.046,
275
+ "tau": 0.0446,
276
+ "r_a": 6.555,
277
+ "r_b": 8.6,
278
+ "r_min": 6.555,
279
+ "delta_over_r_min": 0.31212814645308923,
280
+ "regime": "Local-Only"
281
+ },
282
+ {
283
+ "pair": "beit_large_patch16_224 <-> dinov2_vitg14",
284
+ "source": "atlas",
285
+ "delta": 2.5,
286
+ "tau": 0.0855,
287
+ "r_a": 6.555,
288
+ "r_b": 9.055,
289
+ "r_min": 6.555,
290
+ "delta_over_r_min": 0.38138825324180015,
291
+ "regime": "Local-Only"
292
+ },
293
+ {
294
+ "pair": "beit_large_patch16_224 <-> dinov2_vitl14",
295
+ "source": "atlas",
296
+ "delta": 2.409,
297
+ "tau": 0.0159,
298
+ "r_a": 6.555,
299
+ "r_b": 8.963,
300
+ "r_min": 6.555,
301
+ "delta_over_r_min": 0.3675057208237986,
302
+ "regime": "Local-Only"
303
+ },
304
+ {
305
+ "pair": "beit_large_patch16_224 <-> dinov2_vits14",
306
+ "source": "atlas",
307
+ "delta": 1.197,
308
+ "tau": 0.0197,
309
+ "r_a": 6.555,
310
+ "r_b": 7.752,
311
+ "r_min": 6.555,
312
+ "delta_over_r_min": 0.18260869565217394,
313
+ "regime": "Local-Only"
314
+ },
315
+ {
316
+ "pair": "beit_large_patch16_224 <-> efficientnet_b0",
317
+ "source": "atlas",
318
+ "delta": 1.674,
319
+ "tau": 0.0874,
320
+ "r_a": 6.555,
321
+ "r_b": 8.228,
322
+ "r_min": 6.555,
323
+ "delta_over_r_min": 0.2553775743707094,
324
+ "regime": "Local-Only"
325
+ },
326
+ {
327
+ "pair": "beit_large_patch16_224 <-> mixer_b16_224",
328
+ "source": "atlas",
329
+ "delta": 1.483,
330
+ "tau": 0.078,
331
+ "r_a": 6.555,
332
+ "r_b": 8.037,
333
+ "r_min": 6.555,
334
+ "delta_over_r_min": 0.22623951182303587,
335
+ "regime": "Local-Only"
336
+ },
337
+ {
338
+ "pair": "beit_large_patch16_224 <-> resnet101",
339
+ "source": "atlas",
340
+ "delta": 2.039,
341
+ "tau": 0.1236,
342
+ "r_a": 6.555,
343
+ "r_b": 8.594,
344
+ "r_min": 6.555,
345
+ "delta_over_r_min": 0.3110602593440122,
346
+ "regime": "Local-Only"
347
+ },
348
+ {
349
+ "pair": "beit_large_patch16_224 <-> resnet50",
350
+ "source": "atlas",
351
+ "delta": 1.55,
352
+ "tau": 0.3556,
353
+ "r_a": 6.555,
354
+ "r_b": 8.105,
355
+ "r_min": 6.555,
356
+ "delta_over_r_min": 0.2364607170099161,
357
+ "regime": "Local-Only"
358
+ },
359
+ {
360
+ "pair": "beit_large_patch16_224 <-> swin_base_patch4_window7_224",
361
+ "source": "atlas",
362
+ "delta": 1.844,
363
+ "tau": 0.0323,
364
+ "r_a": 6.555,
365
+ "r_b": 8.398,
366
+ "r_min": 6.555,
367
+ "delta_over_r_min": 0.28131197559115184,
368
+ "regime": "Local-Only"
369
+ },
370
+ {
371
+ "pair": "beit_large_patch16_224 <-> vit_base_patch16_224",
372
+ "source": "atlas",
373
+ "delta": 1.215,
374
+ "tau": 0.039,
375
+ "r_a": 6.555,
376
+ "r_b": 7.77,
377
+ "r_min": 6.555,
378
+ "delta_over_r_min": 0.1853546910755149,
379
+ "regime": "Local-Only"
380
+ },
381
+ {
382
+ "pair": "beit_large_patch16_224 <-> vit_base_patch16_224.mae",
383
+ "source": "atlas",
384
+ "delta": 4.906,
385
+ "tau": 0.0044,
386
+ "r_a": 6.555,
387
+ "r_b": 1.649,
388
+ "r_min": 1.649,
389
+ "delta_over_r_min": 2.9751364463311094,
390
+ "regime": "Local-Only"
391
+ },
392
+ {
393
+ "pair": "beit_large_patch16_224 <-> vit_large_patch16_224",
394
+ "source": "atlas",
395
+ "delta": 1.106,
396
+ "tau": 0.0212,
397
+ "r_a": 6.555,
398
+ "r_b": 7.661,
399
+ "r_min": 6.555,
400
+ "delta_over_r_min": 0.16872616323417242,
401
+ "regime": "Local-Only"
402
+ },
403
+ {
404
+ "pair": "beit_large_patch16_224 <-> vit_large_patch16_224.mae",
405
+ "source": "atlas",
406
+ "delta": 1.656,
407
+ "tau": 0.0,
408
+ "r_a": 6.555,
409
+ "r_b": 4.898,
410
+ "r_min": 4.898,
411
+ "delta_over_r_min": 0.338097182523479,
412
+ "regime": "Local-Only"
413
+ },
414
+ {
415
+ "pair": "clip_vitb16 <-> clip_vitb32",
416
+ "source": "atlas",
417
+ "delta": 0.014,
418
+ "tau": 0.744,
419
+ "r_a": 6.841,
420
+ "r_b": 6.855,
421
+ "r_min": 6.841,
422
+ "delta_over_r_min": 0.00204648443210057,
423
+ "regime": "Convergent"
424
+ },
425
+ {
426
+ "pair": "clip_vitb16 <-> clip_vitl14",
427
+ "source": "atlas",
428
+ "delta": 0.601,
429
+ "tau": 0.468,
430
+ "r_a": 6.841,
431
+ "r_b": 7.442,
432
+ "r_min": 6.841,
433
+ "delta_over_r_min": 0.08785265312088876,
434
+ "regime": "Local-Only"
435
+ },
436
+ {
437
+ "pair": "clip_vitb16 <-> convnext_base",
438
+ "source": "atlas",
439
+ "delta": 1.4,
440
+ "tau": 0.0261,
441
+ "r_a": 6.841,
442
+ "r_b": 8.241,
443
+ "r_min": 6.841,
444
+ "delta_over_r_min": 0.20464844321005699,
445
+ "regime": "Local-Only"
446
+ },
447
+ {
448
+ "pair": "clip_vitb16 <-> convnext_large",
449
+ "source": "atlas",
450
+ "delta": 1.644,
451
+ "tau": 0.024,
452
+ "r_a": 6.841,
453
+ "r_b": 8.485,
454
+ "r_min": 6.841,
455
+ "delta_over_r_min": 0.2403157433123812,
456
+ "regime": "Local-Only"
457
+ },
458
+ {
459
+ "pair": "clip_vitb16 <-> dinov2_vitb14",
460
+ "source": "atlas",
461
+ "delta": 1.76,
462
+ "tau": 0.0449,
463
+ "r_a": 6.841,
464
+ "r_b": 8.6,
465
+ "r_min": 6.841,
466
+ "delta_over_r_min": 0.2572723286069288,
467
+ "regime": "Local-Only"
468
+ },
469
+ {
470
+ "pair": "clip_vitb16 <-> dinov2_vitg14",
471
+ "source": "atlas",
472
+ "delta": 2.214,
473
+ "tau": 0.1047,
474
+ "r_a": 6.841,
475
+ "r_b": 9.055,
476
+ "r_min": 6.841,
477
+ "delta_over_r_min": 0.32363689519076155,
478
+ "regime": "Local-Only"
479
+ },
480
+ {
481
+ "pair": "clip_vitb16 <-> dinov2_vitl14",
482
+ "source": "atlas",
483
+ "delta": 2.122,
484
+ "tau": 0.0941,
485
+ "r_a": 6.841,
486
+ "r_b": 8.963,
487
+ "r_min": 6.841,
488
+ "delta_over_r_min": 0.3101885689226721,
489
+ "regime": "Local-Only"
490
+ },
491
+ {
492
+ "pair": "clip_vitb16 <-> dinov2_vits14",
493
+ "source": "atlas",
494
+ "delta": 0.911,
495
+ "tau": 0.0164,
496
+ "r_a": 6.841,
497
+ "r_b": 7.752,
498
+ "r_min": 6.841,
499
+ "delta_over_r_min": 0.1331676655459728,
500
+ "regime": "Local-Only"
501
+ },
502
+ {
503
+ "pair": "clip_vitb16 <-> efficientnet_b0",
504
+ "source": "atlas",
505
+ "delta": 1.388,
506
+ "tau": 0.0845,
507
+ "r_a": 6.841,
508
+ "r_b": 8.228,
509
+ "r_min": 6.841,
510
+ "delta_over_r_min": 0.20289431369682792,
511
+ "regime": "Local-Only"
512
+ },
513
+ {
514
+ "pair": "clip_vitb16 <-> mixer_b16_224",
515
+ "source": "atlas",
516
+ "delta": 1.196,
517
+ "tau": 0.0726,
518
+ "r_a": 6.841,
519
+ "r_b": 8.037,
520
+ "r_min": 6.841,
521
+ "delta_over_r_min": 0.174828241485163,
522
+ "regime": "Local-Only"
523
+ },
524
+ {
525
+ "pair": "clip_vitb16 <-> resnet101",
526
+ "source": "atlas",
527
+ "delta": 1.753,
528
+ "tau": 0.0775,
529
+ "r_a": 6.841,
530
+ "r_b": 8.594,
531
+ "r_min": 6.841,
532
+ "delta_over_r_min": 0.2562490863908785,
533
+ "regime": "Local-Only"
534
+ },
535
+ {
536
+ "pair": "clip_vitb16 <-> resnet50",
537
+ "source": "atlas",
538
+ "delta": 1.264,
539
+ "tau": 0.1145,
540
+ "r_a": 6.841,
541
+ "r_b": 8.105,
542
+ "r_min": 6.841,
543
+ "delta_over_r_min": 0.1847683087267943,
544
+ "regime": "Local-Only"
545
+ },
546
+ {
547
+ "pair": "clip_vitb16 <-> swin_base_patch4_window7_224",
548
+ "source": "atlas",
549
+ "delta": 1.558,
550
+ "tau": 0.0404,
551
+ "r_a": 6.841,
552
+ "r_b": 8.398,
553
+ "r_min": 6.841,
554
+ "delta_over_r_min": 0.2277444818009063,
555
+ "regime": "Local-Only"
556
+ },
557
+ {
558
+ "pair": "clip_vitb16 <-> vit_base_patch16_224",
559
+ "source": "atlas",
560
+ "delta": 0.929,
561
+ "tau": 0.0185,
562
+ "r_a": 6.841,
563
+ "r_b": 7.77,
564
+ "r_min": 6.841,
565
+ "delta_over_r_min": 0.1357988598158164,
566
+ "regime": "Local-Only"
567
+ },
568
+ {
569
+ "pair": "clip_vitb16 <-> vit_base_patch16_224.mae",
570
+ "source": "atlas",
571
+ "delta": 5.192,
572
+ "tau": 0.003,
573
+ "r_a": 6.841,
574
+ "r_b": 1.649,
575
+ "r_min": 1.649,
576
+ "delta_over_r_min": 3.1485748938750757,
577
+ "regime": "Divergent"
578
+ },
579
+ {
580
+ "pair": "clip_vitb16 <-> vit_large_patch16_224",
581
+ "source": "atlas",
582
+ "delta": 0.82,
583
+ "tau": 0.0095,
584
+ "r_a": 6.841,
585
+ "r_b": 7.661,
586
+ "r_min": 6.841,
587
+ "delta_over_r_min": 0.1198655167373191,
588
+ "regime": "Local-Only"
589
+ },
590
+ {
591
+ "pair": "clip_vitb16 <-> vit_large_patch16_224.mae",
592
+ "source": "atlas",
593
+ "delta": 1.942,
594
+ "tau": 0.0004,
595
+ "r_a": 6.841,
596
+ "r_b": 4.898,
597
+ "r_min": 4.898,
598
+ "delta_over_r_min": 0.3964883625969784,
599
+ "regime": "Local-Only"
600
+ },
601
+ {
602
+ "pair": "clip_vitb32 <-> clip_vitl14",
603
+ "source": "atlas",
604
+ "delta": 0.587,
605
+ "tau": 0.3298,
606
+ "r_a": 6.855,
607
+ "r_b": 7.442,
608
+ "r_min": 6.855,
609
+ "delta_over_r_min": 0.08563092633114514,
610
+ "regime": "Local-Only"
611
+ },
612
+ {
613
+ "pair": "clip_vitb32 <-> convnext_base",
614
+ "source": "atlas",
615
+ "delta": 1.386,
616
+ "tau": 0.0145,
617
+ "r_a": 6.855,
618
+ "r_b": 8.241,
619
+ "r_min": 6.855,
620
+ "delta_over_r_min": 0.2021881838074398,
621
+ "regime": "Local-Only"
622
+ },
623
+ {
624
+ "pair": "clip_vitb32 <-> convnext_large",
625
+ "source": "atlas",
626
+ "delta": 1.63,
627
+ "tau": 0.0127,
628
+ "r_a": 6.855,
629
+ "r_b": 8.485,
630
+ "r_min": 6.855,
631
+ "delta_over_r_min": 0.23778264040846095,
632
+ "regime": "Local-Only"
633
+ },
634
+ {
635
+ "pair": "clip_vitb32 <-> dinov2_vitb14",
636
+ "source": "atlas",
637
+ "delta": 1.746,
638
+ "tau": 0.0308,
639
+ "r_a": 6.855,
640
+ "r_b": 8.6,
641
+ "r_min": 6.855,
642
+ "delta_over_r_min": 0.2547045951859956,
643
+ "regime": "Local-Only"
644
+ },
645
+ {
646
+ "pair": "clip_vitb32 <-> dinov2_vitg14",
647
+ "source": "atlas",
648
+ "delta": 2.2,
649
+ "tau": 0.0754,
650
+ "r_a": 6.855,
651
+ "r_b": 9.055,
652
+ "r_min": 6.855,
653
+ "delta_over_r_min": 0.32093362509117435,
654
+ "regime": "Local-Only"
655
+ },
656
+ {
657
+ "pair": "clip_vitb32 <-> dinov2_vitl14",
658
+ "source": "atlas",
659
+ "delta": 2.108,
660
+ "tau": 0.0715,
661
+ "r_a": 6.855,
662
+ "r_b": 8.963,
663
+ "r_min": 6.855,
664
+ "delta_over_r_min": 0.30751276440554337,
665
+ "regime": "Local-Only"
666
+ },
667
+ {
668
+ "pair": "clip_vitb32 <-> dinov2_vits14",
669
+ "source": "atlas",
670
+ "delta": 0.897,
671
+ "tau": 0.0099,
672
+ "r_a": 6.855,
673
+ "r_b": 7.752,
674
+ "r_min": 6.855,
675
+ "delta_over_r_min": 0.13085339168490154,
676
+ "regime": "Local-Only"
677
+ },
678
+ {
679
+ "pair": "clip_vitb32 <-> efficientnet_b0",
680
+ "source": "atlas",
681
+ "delta": 1.374,
682
+ "tau": 0.061,
683
+ "r_a": 6.855,
684
+ "r_b": 8.228,
685
+ "r_min": 6.855,
686
+ "delta_over_r_min": 0.20043763676148796,
687
+ "regime": "Local-Only"
688
+ },
689
+ {
690
+ "pair": "clip_vitb32 <-> mixer_b16_224",
691
+ "source": "atlas",
692
+ "delta": 1.182,
693
+ "tau": 0.0509,
694
+ "r_a": 6.855,
695
+ "r_b": 8.037,
696
+ "r_min": 6.855,
697
+ "delta_over_r_min": 0.1724288840262582,
698
+ "regime": "Local-Only"
699
+ },
700
+ {
701
+ "pair": "clip_vitb32 <-> resnet101",
702
+ "source": "atlas",
703
+ "delta": 1.739,
704
+ "tau": 0.0698,
705
+ "r_a": 6.855,
706
+ "r_b": 8.594,
707
+ "r_min": 6.855,
708
+ "delta_over_r_min": 0.2536834427425237,
709
+ "regime": "Local-Only"
710
+ },
711
+ {
712
+ "pair": "clip_vitb32 <-> resnet50",
713
+ "source": "atlas",
714
+ "delta": 1.25,
715
+ "tau": 0.1145,
716
+ "r_a": 6.855,
717
+ "r_b": 8.105,
718
+ "r_min": 6.855,
719
+ "delta_over_r_min": 0.1823486506199854,
720
+ "regime": "Local-Only"
721
+ },
722
+ {
723
+ "pair": "clip_vitb32 <-> swin_base_patch4_window7_224",
724
+ "source": "atlas",
725
+ "delta": 1.544,
726
+ "tau": 0.0284,
727
+ "r_a": 6.855,
728
+ "r_b": 8.398,
729
+ "r_min": 6.855,
730
+ "delta_over_r_min": 0.22523705324580598,
731
+ "regime": "Local-Only"
732
+ },
733
+ {
734
+ "pair": "clip_vitb32 <-> vit_base_patch16_224",
735
+ "source": "atlas",
736
+ "delta": 0.915,
737
+ "tau": 0.0082,
738
+ "r_a": 6.855,
739
+ "r_b": 7.77,
740
+ "r_min": 6.855,
741
+ "delta_over_r_min": 0.13347921225382933,
742
+ "regime": "Local-Only"
743
+ },
744
+ {
745
+ "pair": "clip_vitb32 <-> vit_base_patch16_224.mae",
746
+ "source": "atlas",
747
+ "delta": 5.206,
748
+ "tau": 0.0032,
749
+ "r_a": 6.855,
750
+ "r_b": 1.649,
751
+ "r_min": 1.649,
752
+ "delta_over_r_min": 3.1570648878107948,
753
+ "regime": "Divergent"
754
+ },
755
+ {
756
+ "pair": "clip_vitb32 <-> vit_large_patch16_224",
757
+ "source": "atlas",
758
+ "delta": 0.806,
759
+ "tau": 0.0049,
760
+ "r_a": 6.855,
761
+ "r_b": 7.661,
762
+ "r_min": 6.855,
763
+ "delta_over_r_min": 0.11757840991976659,
764
+ "regime": "Local-Only"
765
+ },
766
+ {
767
+ "pair": "clip_vitb32 <-> vit_large_patch16_224.mae",
768
+ "source": "atlas",
769
+ "delta": 1.956,
770
+ "tau": 0.0002,
771
+ "r_a": 6.855,
772
+ "r_b": 4.898,
773
+ "r_min": 4.898,
774
+ "delta_over_r_min": 0.3993466721110658,
775
+ "regime": "Local-Only"
776
+ },
777
+ {
778
+ "pair": "clip_vitl14 <-> convnext_base",
779
+ "source": "atlas",
780
+ "delta": 0.799,
781
+ "tau": 0.0091,
782
+ "r_a": 7.442,
783
+ "r_b": 8.241,
784
+ "r_min": 7.442,
785
+ "delta_over_r_min": 0.10736361193227627,
786
+ "regime": "Local-Only"
787
+ },
788
+ {
789
+ "pair": "clip_vitl14 <-> convnext_large",
790
+ "source": "atlas",
791
+ "delta": 1.042,
792
+ "tau": 0.009,
793
+ "r_a": 7.442,
794
+ "r_b": 8.485,
795
+ "r_min": 7.442,
796
+ "delta_over_r_min": 0.14001612469766192,
797
+ "regime": "Local-Only"
798
+ },
799
+ {
800
+ "pair": "clip_vitl14 <-> dinov2_vitb14",
801
+ "source": "atlas",
802
+ "delta": 1.158,
803
+ "tau": 0.0121,
804
+ "r_a": 7.442,
805
+ "r_b": 8.6,
806
+ "r_min": 7.442,
807
+ "delta_over_r_min": 0.15560333243751678,
808
+ "regime": "Local-Only"
809
+ },
810
+ {
811
+ "pair": "clip_vitl14 <-> dinov2_vitg14",
812
+ "source": "atlas",
813
+ "delta": 1.613,
814
+ "tau": 0.0449,
815
+ "r_a": 7.442,
816
+ "r_b": 9.055,
817
+ "r_min": 7.442,
818
+ "delta_over_r_min": 0.2167428110722924,
819
+ "regime": "Local-Only"
820
+ },
821
+ {
822
+ "pair": "clip_vitl14 <-> dinov2_vitl14",
823
+ "source": "atlas",
824
+ "delta": 1.521,
825
+ "tau": 0.0297,
826
+ "r_a": 7.442,
827
+ "r_b": 8.963,
828
+ "r_min": 7.442,
829
+ "delta_over_r_min": 0.20438054286482127,
830
+ "regime": "Local-Only"
831
+ },
832
+ {
833
+ "pair": "clip_vitl14 <-> dinov2_vits14",
834
+ "source": "atlas",
835
+ "delta": 0.31,
836
+ "tau": 0.0057,
837
+ "r_a": 7.442,
838
+ "r_b": 7.752,
839
+ "r_min": 7.442,
840
+ "delta_over_r_min": 0.041655468959957,
841
+ "regime": "Local-Only"
842
+ },
843
+ {
844
+ "pair": "clip_vitl14 <-> efficientnet_b0",
845
+ "source": "atlas",
846
+ "delta": 0.786,
847
+ "tau": 0.0434,
848
+ "r_a": 7.442,
849
+ "r_b": 8.228,
850
+ "r_min": 7.442,
851
+ "delta_over_r_min": 0.10561676968556839,
852
+ "regime": "Local-Only"
853
+ },
854
+ {
855
+ "pair": "clip_vitl14 <-> mixer_b16_224",
856
+ "source": "atlas",
857
+ "delta": 0.595,
858
+ "tau": 0.0365,
859
+ "r_a": 7.442,
860
+ "r_b": 8.037,
861
+ "r_min": 7.442,
862
+ "delta_over_r_min": 0.07995162590701424,
863
+ "regime": "Local-Only"
864
+ },
865
+ {
866
+ "pair": "clip_vitl14 <-> resnet101",
867
+ "source": "atlas",
868
+ "delta": 1.152,
869
+ "tau": 0.0539,
870
+ "r_a": 7.442,
871
+ "r_b": 8.594,
872
+ "r_min": 7.442,
873
+ "delta_over_r_min": 0.15479709755442084,
874
+ "regime": "Local-Only"
875
+ },
876
+ {
877
+ "pair": "clip_vitl14 <-> resnet50",
878
+ "source": "atlas",
879
+ "delta": 0.663,
880
+ "tau": 0.0961,
881
+ "r_a": 7.442,
882
+ "r_b": 8.105,
883
+ "r_min": 7.442,
884
+ "delta_over_r_min": 0.08908895458210159,
885
+ "regime": "Local-Only"
886
+ },
887
+ {
888
+ "pair": "clip_vitl14 <-> swin_base_patch4_window7_224",
889
+ "source": "atlas",
890
+ "delta": 0.956,
891
+ "tau": 0.0204,
892
+ "r_a": 7.442,
893
+ "r_b": 8.398,
894
+ "r_min": 7.442,
895
+ "delta_over_r_min": 0.12846009137328673,
896
+ "regime": "Local-Only"
897
+ },
898
+ {
899
+ "pair": "clip_vitl14 <-> vit_base_patch16_224",
900
+ "source": "atlas",
901
+ "delta": 0.327,
902
+ "tau": 0.0051,
903
+ "r_a": 7.442,
904
+ "r_b": 7.77,
905
+ "r_min": 7.442,
906
+ "delta_over_r_min": 0.043939801128728834,
907
+ "regime": "Local-Only"
908
+ },
909
+ {
910
+ "pair": "clip_vitl14 <-> vit_base_patch16_224.mae",
911
+ "source": "atlas",
912
+ "delta": 5.793,
913
+ "tau": 0.0032,
914
+ "r_a": 7.442,
915
+ "r_b": 1.649,
916
+ "r_min": 1.649,
917
+ "delta_over_r_min": 3.5130382049727107,
918
+ "regime": "Divergent"
919
+ },
920
+ {
921
+ "pair": "clip_vitl14 <-> vit_large_patch16_224",
922
+ "source": "atlas",
923
+ "delta": 0.219,
924
+ "tau": 0.0046,
925
+ "r_a": 7.442,
926
+ "r_b": 7.661,
927
+ "r_min": 7.442,
928
+ "delta_over_r_min": 0.02942757323300188,
929
+ "regime": "Local-Only"
930
+ },
931
+ {
932
+ "pair": "clip_vitl14 <-> vit_large_patch16_224.mae",
933
+ "source": "atlas",
934
+ "delta": 2.544,
935
+ "tau": 0.0,
936
+ "r_a": 7.442,
937
+ "r_b": 4.898,
938
+ "r_min": 4.898,
939
+ "delta_over_r_min": 0.5193956717027358,
940
+ "regime": "Local-Only"
941
+ },
942
+ {
943
+ "pair": "convnext_base <-> convnext_large",
944
+ "source": "atlas",
945
+ "delta": 0.243,
946
+ "tau": 0.8475,
947
+ "r_a": 8.241,
948
+ "r_b": 8.485,
949
+ "r_min": 8.241,
950
+ "delta_over_r_min": 0.029486712777575537,
951
+ "regime": "Convergent"
952
+ },
953
+ {
954
+ "pair": "convnext_base <-> dinov2_vitb14",
955
+ "source": "atlas",
956
+ "delta": 0.359,
957
+ "tau": 0.2182,
958
+ "r_a": 8.241,
959
+ "r_b": 8.6,
960
+ "r_min": 8.241,
961
+ "delta_over_r_min": 0.04356267443271448,
962
+ "regime": "Local-Only"
963
+ },
964
+ {
965
+ "pair": "convnext_base <-> dinov2_vitg14",
966
+ "source": "atlas",
967
+ "delta": 0.814,
968
+ "tau": 0.3656,
969
+ "r_a": 8.241,
970
+ "r_b": 9.055,
971
+ "r_min": 8.241,
972
+ "delta_over_r_min": 0.0987744205800267,
973
+ "regime": "Local-Only"
974
+ },
975
+ {
976
+ "pair": "convnext_base <-> dinov2_vitl14",
977
+ "source": "atlas",
978
+ "delta": 0.722,
979
+ "tau": 0.1342,
980
+ "r_a": 8.241,
981
+ "r_b": 8.963,
982
+ "r_min": 8.241,
983
+ "delta_over_r_min": 0.0876107268535372,
984
+ "regime": "Local-Only"
985
+ },
986
+ {
987
+ "pair": "convnext_base <-> dinov2_vits14",
988
+ "source": "atlas",
989
+ "delta": 0.489,
990
+ "tau": 0.2682,
991
+ "r_a": 8.241,
992
+ "r_b": 7.752,
993
+ "r_min": 7.752,
994
+ "delta_over_r_min": 0.06308049535603716,
995
+ "regime": "Local-Only"
996
+ },
997
+ {
998
+ "pair": "convnext_base <-> efficientnet_b0",
999
+ "source": "atlas",
1000
+ "delta": 0.013,
1001
+ "tau": 0.3044,
1002
+ "r_a": 8.241,
1003
+ "r_b": 8.228,
1004
+ "r_min": 8.228,
1005
+ "delta_over_r_min": 0.0015799708313077297,
1006
+ "regime": "Local-Only"
1007
+ },
1008
+ {
1009
+ "pair": "convnext_base <-> mixer_b16_224",
1010
+ "source": "atlas",
1011
+ "delta": 0.204,
1012
+ "tau": 0.1651,
1013
+ "r_a": 8.241,
1014
+ "r_b": 8.037,
1015
+ "r_min": 8.037,
1016
+ "delta_over_r_min": 0.025382605449794694,
1017
+ "regime": "Local-Only"
1018
+ },
1019
+ {
1020
+ "pair": "convnext_base <-> resnet101",
1021
+ "source": "atlas",
1022
+ "delta": 0.353,
1023
+ "tau": 0.3092,
1024
+ "r_a": 8.241,
1025
+ "r_b": 8.594,
1026
+ "r_min": 8.241,
1027
+ "delta_over_r_min": 0.04283460745055212,
1028
+ "regime": "Local-Only"
1029
+ },
1030
+ {
1031
+ "pair": "convnext_base <-> resnet50",
1032
+ "source": "atlas",
1033
+ "delta": 0.136,
1034
+ "tau": 0.2342,
1035
+ "r_a": 8.241,
1036
+ "r_b": 8.105,
1037
+ "r_min": 8.105,
1038
+ "delta_over_r_min": 0.016779765576804443,
1039
+ "regime": "Local-Only"
1040
+ },
1041
+ {
1042
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
1043
+ "source": "atlas",
1044
+ "delta": 0.157,
1045
+ "tau": 0.7709,
1046
+ "r_a": 8.241,
1047
+ "r_b": 8.398,
1048
+ "r_min": 8.241,
1049
+ "delta_over_r_min": 0.019051086033248392,
1050
+ "regime": "Convergent"
1051
+ },
1052
+ {
1053
+ "pair": "convnext_base <-> vit_base_patch16_224",
1054
+ "source": "atlas",
1055
+ "delta": 0.472,
1056
+ "tau": 0.4549,
1057
+ "r_a": 8.241,
1058
+ "r_b": 7.77,
1059
+ "r_min": 7.77,
1060
+ "delta_over_r_min": 0.06074646074646075,
1061
+ "regime": "Local-Only"
1062
+ },
1063
+ {
1064
+ "pair": "convnext_base <-> vit_base_patch16_224.mae",
1065
+ "source": "atlas",
1066
+ "delta": 6.592,
1067
+ "tau": 0.0028,
1068
+ "r_a": 8.241,
1069
+ "r_b": 1.649,
1070
+ "r_min": 1.649,
1071
+ "delta_over_r_min": 3.997574287446937,
1072
+ "regime": "Divergent"
1073
+ },
1074
+ {
1075
+ "pair": "convnext_base <-> vit_large_patch16_224",
1076
+ "source": "atlas",
1077
+ "delta": 0.58,
1078
+ "tau": 0.1548,
1079
+ "r_a": 8.241,
1080
+ "r_b": 7.661,
1081
+ "r_min": 7.661,
1082
+ "delta_over_r_min": 0.07570813209763738,
1083
+ "regime": "Local-Only"
1084
+ },
1085
+ {
1086
+ "pair": "convnext_base <-> vit_large_patch16_224.mae",
1087
+ "source": "atlas",
1088
+ "delta": 3.343,
1089
+ "tau": 0.0,
1090
+ "r_a": 8.241,
1091
+ "r_b": 4.898,
1092
+ "r_min": 4.898,
1093
+ "delta_over_r_min": 0.6825234789710086,
1094
+ "regime": "Local-Only"
1095
+ },
1096
+ {
1097
+ "pair": "convnext_large <-> dinov2_vitb14",
1098
+ "source": "atlas",
1099
+ "delta": 0.116,
1100
+ "tau": 0.1975,
1101
+ "r_a": 8.485,
1102
+ "r_b": 8.6,
1103
+ "r_min": 8.485,
1104
+ "delta_over_r_min": 0.013671184443134945,
1105
+ "regime": "Local-Only"
1106
+ },
1107
+ {
1108
+ "pair": "convnext_large <-> dinov2_vitg14",
1109
+ "source": "atlas",
1110
+ "delta": 0.57,
1111
+ "tau": 0.1723,
1112
+ "r_a": 8.485,
1113
+ "r_b": 9.055,
1114
+ "r_min": 8.485,
1115
+ "delta_over_r_min": 0.06717737183264584,
1116
+ "regime": "Local-Only"
1117
+ },
1118
+ {
1119
+ "pair": "convnext_large <-> dinov2_vitl14",
1120
+ "source": "atlas",
1121
+ "delta": 0.479,
1122
+ "tau": 0.1338,
1123
+ "r_a": 8.485,
1124
+ "r_b": 8.963,
1125
+ "r_min": 8.485,
1126
+ "delta_over_r_min": 0.05645256334708309,
1127
+ "regime": "Local-Only"
1128
+ },
1129
+ {
1130
+ "pair": "convnext_large <-> dinov2_vits14",
1131
+ "source": "atlas",
1132
+ "delta": 0.733,
1133
+ "tau": 0.2375,
1134
+ "r_a": 8.485,
1135
+ "r_b": 7.752,
1136
+ "r_min": 7.752,
1137
+ "delta_over_r_min": 0.0945562435500516,
1138
+ "regime": "Local-Only"
1139
+ },
1140
+ {
1141
+ "pair": "convnext_large <-> efficientnet_b0",
1142
+ "source": "atlas",
1143
+ "delta": 0.256,
1144
+ "tau": 0.269,
1145
+ "r_a": 8.485,
1146
+ "r_b": 8.228,
1147
+ "r_min": 8.228,
1148
+ "delta_over_r_min": 0.031113271754982987,
1149
+ "regime": "Local-Only"
1150
+ },
1151
+ {
1152
+ "pair": "convnext_large <-> mixer_b16_224",
1153
+ "source": "atlas",
1154
+ "delta": 0.447,
1155
+ "tau": 0.1455,
1156
+ "r_a": 8.485,
1157
+ "r_b": 8.037,
1158
+ "r_min": 8.037,
1159
+ "delta_over_r_min": 0.055617767823814855,
1160
+ "regime": "Local-Only"
1161
+ },
1162
+ {
1163
+ "pair": "convnext_large <-> resnet101",
1164
+ "source": "atlas",
1165
+ "delta": 0.109,
1166
+ "tau": 0.2889,
1167
+ "r_a": 8.485,
1168
+ "r_b": 8.594,
1169
+ "r_min": 8.485,
1170
+ "delta_over_r_min": 0.012846199175014733,
1171
+ "regime": "Local-Only"
1172
+ },
1173
+ {
1174
+ "pair": "convnext_large <-> resnet50",
1175
+ "source": "atlas",
1176
+ "delta": 0.38,
1177
+ "tau": 0.2392,
1178
+ "r_a": 8.485,
1179
+ "r_b": 8.105,
1180
+ "r_min": 8.105,
1181
+ "delta_over_r_min": 0.046884639111659465,
1182
+ "regime": "Local-Only"
1183
+ },
1184
+ {
1185
+ "pair": "convnext_large <-> swin_base_patch4_window7_224",
1186
+ "source": "atlas",
1187
+ "delta": 0.086,
1188
+ "tau": 0.7538,
1189
+ "r_a": 8.485,
1190
+ "r_b": 8.398,
1191
+ "r_min": 8.398,
1192
+ "delta_over_r_min": 0.010240533460347702,
1193
+ "regime": "Convergent"
1194
+ },
1195
+ {
1196
+ "pair": "convnext_large <-> vit_base_patch16_224",
1197
+ "source": "atlas",
1198
+ "delta": 0.715,
1199
+ "tau": 0.5269,
1200
+ "r_a": 8.485,
1201
+ "r_b": 7.77,
1202
+ "r_min": 7.77,
1203
+ "delta_over_r_min": 0.09202059202059203,
1204
+ "regime": "Convergent"
1205
+ },
1206
+ {
1207
+ "pair": "convnext_large <-> vit_base_patch16_224.mae",
1208
+ "source": "atlas",
1209
+ "delta": 6.836,
1210
+ "tau": 0.0027,
1211
+ "r_a": 8.485,
1212
+ "r_b": 1.649,
1213
+ "r_min": 1.649,
1214
+ "delta_over_r_min": 4.145542753183748,
1215
+ "regime": "Divergent"
1216
+ },
1217
+ {
1218
+ "pair": "convnext_large <-> vit_large_patch16_224",
1219
+ "source": "atlas",
1220
+ "delta": 0.824,
1221
+ "tau": 0.2073,
1222
+ "r_a": 8.485,
1223
+ "r_b": 7.661,
1224
+ "r_min": 7.661,
1225
+ "delta_over_r_min": 0.10755776008354001,
1226
+ "regime": "Local-Only"
1227
+ },
1228
+ {
1229
+ "pair": "convnext_large <-> vit_large_patch16_224.mae",
1230
+ "source": "atlas",
1231
+ "delta": 3.586,
1232
+ "tau": 0.0,
1233
+ "r_a": 8.485,
1234
+ "r_b": 4.898,
1235
+ "r_min": 4.898,
1236
+ "delta_over_r_min": 0.7321355655369539,
1237
+ "regime": "Local-Only"
1238
+ },
1239
+ {
1240
+ "pair": "dinov2_vitb14 <-> dinov2_vitg14",
1241
+ "source": "atlas",
1242
+ "delta": 0.454,
1243
+ "tau": 0.355,
1244
+ "r_a": 8.6,
1245
+ "r_b": 9.055,
1246
+ "r_min": 8.6,
1247
+ "delta_over_r_min": 0.05279069767441861,
1248
+ "regime": "Local-Only"
1249
+ },
1250
+ {
1251
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
1252
+ "source": "atlas",
1253
+ "delta": 0.363,
1254
+ "tau": 0.4073,
1255
+ "r_a": 8.6,
1256
+ "r_b": 8.963,
1257
+ "r_min": 8.6,
1258
+ "delta_over_r_min": 0.0422093023255814,
1259
+ "regime": "Local-Only"
1260
+ },
1261
+ {
1262
+ "pair": "dinov2_vitb14 <-> dinov2_vits14",
1263
+ "source": "atlas",
1264
+ "delta": 0.849,
1265
+ "tau": 0.5372,
1266
+ "r_a": 8.6,
1267
+ "r_b": 7.752,
1268
+ "r_min": 7.752,
1269
+ "delta_over_r_min": 0.10952012383900929,
1270
+ "regime": "Convergent"
1271
+ },
1272
+ {
1273
+ "pair": "dinov2_vitb14 <-> efficientnet_b0",
1274
+ "source": "atlas",
1275
+ "delta": 0.372,
1276
+ "tau": 0.1618,
1277
+ "r_a": 8.6,
1278
+ "r_b": 8.228,
1279
+ "r_min": 8.228,
1280
+ "delta_over_r_min": 0.04521147301895965,
1281
+ "regime": "Local-Only"
1282
+ },
1283
+ {
1284
+ "pair": "dinov2_vitb14 <-> mixer_b16_224",
1285
+ "source": "atlas",
1286
+ "delta": 0.563,
1287
+ "tau": 0.0878,
1288
+ "r_a": 8.6,
1289
+ "r_b": 8.037,
1290
+ "r_min": 8.037,
1291
+ "delta_over_r_min": 0.07005101405997262,
1292
+ "regime": "Local-Only"
1293
+ },
1294
+ {
1295
+ "pair": "dinov2_vitb14 <-> resnet101",
1296
+ "source": "atlas",
1297
+ "delta": 0.006,
1298
+ "tau": 0.2055,
1299
+ "r_a": 8.6,
1300
+ "r_b": 8.594,
1301
+ "r_min": 8.594,
1302
+ "delta_over_r_min": 0.0006981615080288574,
1303
+ "regime": "Local-Only"
1304
+ },
1305
+ {
1306
+ "pair": "dinov2_vitb14 <-> resnet50",
1307
+ "source": "atlas",
1308
+ "delta": 0.496,
1309
+ "tau": 0.1525,
1310
+ "r_a": 8.6,
1311
+ "r_b": 8.105,
1312
+ "r_min": 8.105,
1313
+ "delta_over_r_min": 0.06119679210363972,
1314
+ "regime": "Local-Only"
1315
+ },
1316
+ {
1317
+ "pair": "dinov2_vitb14 <-> swin_base_patch4_window7_224",
1318
+ "source": "atlas",
1319
+ "delta": 0.202,
1320
+ "tau": 0.0816,
1321
+ "r_a": 8.6,
1322
+ "r_b": 8.398,
1323
+ "r_min": 8.398,
1324
+ "delta_over_r_min": 0.024053346034770186,
1325
+ "regime": "Local-Only"
1326
+ },
1327
+ {
1328
+ "pair": "dinov2_vitb14 <-> vit_base_patch16_224",
1329
+ "source": "atlas",
1330
+ "delta": 0.831,
1331
+ "tau": 0.1219,
1332
+ "r_a": 8.6,
1333
+ "r_b": 7.77,
1334
+ "r_min": 7.77,
1335
+ "delta_over_r_min": 0.10694980694980695,
1336
+ "regime": "Local-Only"
1337
+ },
1338
+ {
1339
+ "pair": "dinov2_vitb14 <-> vit_base_patch16_224.mae",
1340
+ "source": "atlas",
1341
+ "delta": 6.952,
1342
+ "tau": 0.0038,
1343
+ "r_a": 8.6,
1344
+ "r_b": 1.649,
1345
+ "r_min": 1.649,
1346
+ "delta_over_r_min": 4.215888417222559,
1347
+ "regime": "Divergent"
1348
+ },
1349
+ {
1350
+ "pair": "dinov2_vitb14 <-> vit_large_patch16_224",
1351
+ "source": "atlas",
1352
+ "delta": 0.939,
1353
+ "tau": 0.1323,
1354
+ "r_a": 8.6,
1355
+ "r_b": 7.661,
1356
+ "r_min": 7.661,
1357
+ "delta_over_r_min": 0.12256885524083018,
1358
+ "regime": "Local-Only"
1359
+ },
1360
+ {
1361
+ "pair": "dinov2_vitb14 <-> vit_large_patch16_224.mae",
1362
+ "source": "atlas",
1363
+ "delta": 3.702,
1364
+ "tau": 0.0,
1365
+ "r_a": 8.6,
1366
+ "r_b": 4.898,
1367
+ "r_min": 4.898,
1368
+ "delta_over_r_min": 0.7558187015108208,
1369
+ "regime": "Local-Only"
1370
+ },
1371
+ {
1372
+ "pair": "dinov2_vitg14 <-> dinov2_vitl14",
1373
+ "source": "atlas",
1374
+ "delta": 0.091,
1375
+ "tau": 0.5526,
1376
+ "r_a": 9.055,
1377
+ "r_b": 8.963,
1378
+ "r_min": 8.963,
1379
+ "delta_over_r_min": 0.010152850608055338,
1380
+ "regime": "Convergent"
1381
+ },
1382
+ {
1383
+ "pair": "dinov2_vitg14 <-> dinov2_vits14",
1384
+ "source": "atlas",
1385
+ "delta": 1.303,
1386
+ "tau": 0.0995,
1387
+ "r_a": 9.055,
1388
+ "r_b": 7.752,
1389
+ "r_min": 7.752,
1390
+ "delta_over_r_min": 0.16808565531475747,
1391
+ "regime": "Local-Only"
1392
+ },
1393
+ {
1394
+ "pair": "dinov2_vitg14 <-> efficientnet_b0",
1395
+ "source": "atlas",
1396
+ "delta": 0.826,
1397
+ "tau": 0.1942,
1398
+ "r_a": 9.055,
1399
+ "r_b": 8.228,
1400
+ "r_min": 8.228,
1401
+ "delta_over_r_min": 0.10038891589693728,
1402
+ "regime": "Local-Only"
1403
+ },
1404
+ {
1405
+ "pair": "dinov2_vitg14 <-> mixer_b16_224",
1406
+ "source": "atlas",
1407
+ "delta": 1.017,
1408
+ "tau": 0.326,
1409
+ "r_a": 9.055,
1410
+ "r_b": 8.037,
1411
+ "r_min": 8.037,
1412
+ "delta_over_r_min": 0.12653975363941766,
1413
+ "regime": "Local-Only"
1414
+ },
1415
+ {
1416
+ "pair": "dinov2_vitg14 <-> resnet101",
1417
+ "source": "atlas",
1418
+ "delta": 0.461,
1419
+ "tau": 0.5712,
1420
+ "r_a": 9.055,
1421
+ "r_b": 8.594,
1422
+ "r_min": 8.594,
1423
+ "delta_over_r_min": 0.05364207586688388,
1424
+ "regime": "Convergent"
1425
+ },
1426
+ {
1427
+ "pair": "dinov2_vitg14 <-> resnet50",
1428
+ "source": "atlas",
1429
+ "delta": 0.95,
1430
+ "tau": 0.3541,
1431
+ "r_a": 9.055,
1432
+ "r_b": 8.105,
1433
+ "r_min": 8.105,
1434
+ "delta_over_r_min": 0.11721159777914866,
1435
+ "regime": "Local-Only"
1436
+ },
1437
+ {
1438
+ "pair": "dinov2_vitg14 <-> swin_base_patch4_window7_224",
1439
+ "source": "atlas",
1440
+ "delta": 0.656,
1441
+ "tau": 0.1948,
1442
+ "r_a": 9.055,
1443
+ "r_b": 8.398,
1444
+ "r_min": 8.398,
1445
+ "delta_over_r_min": 0.07811383662776852,
1446
+ "regime": "Local-Only"
1447
+ },
1448
+ {
1449
+ "pair": "dinov2_vitg14 <-> vit_base_patch16_224",
1450
+ "source": "atlas",
1451
+ "delta": 1.285,
1452
+ "tau": 0.2689,
1453
+ "r_a": 9.055,
1454
+ "r_b": 7.77,
1455
+ "r_min": 7.77,
1456
+ "delta_over_r_min": 0.1653796653796654,
1457
+ "regime": "Local-Only"
1458
+ },
1459
+ {
1460
+ "pair": "dinov2_vitg14 <-> vit_base_patch16_224.mae",
1461
+ "source": "atlas",
1462
+ "delta": 7.406,
1463
+ "tau": 0.0041,
1464
+ "r_a": 9.055,
1465
+ "r_b": 1.649,
1466
+ "r_min": 1.649,
1467
+ "delta_over_r_min": 4.491206791995149,
1468
+ "regime": "Divergent"
1469
+ },
1470
+ {
1471
+ "pair": "dinov2_vitg14 <-> vit_large_patch16_224",
1472
+ "source": "atlas",
1473
+ "delta": 1.394,
1474
+ "tau": 0.1623,
1475
+ "r_a": 9.055,
1476
+ "r_b": 7.661,
1477
+ "r_min": 7.661,
1478
+ "delta_over_r_min": 0.18196057955880432,
1479
+ "regime": "Local-Only"
1480
+ },
1481
+ {
1482
+ "pair": "dinov2_vitg14 <-> vit_large_patch16_224.mae",
1483
+ "source": "atlas",
1484
+ "delta": 4.156,
1485
+ "tau": 0.0,
1486
+ "r_a": 9.055,
1487
+ "r_b": 4.898,
1488
+ "r_min": 4.898,
1489
+ "delta_over_r_min": 0.8485095957533687,
1490
+ "regime": "Local-Only"
1491
+ },
1492
+ {
1493
+ "pair": "dinov2_vitl14 <-> dinov2_vits14",
1494
+ "source": "atlas",
1495
+ "delta": 1.211,
1496
+ "tau": 0.1403,
1497
+ "r_a": 8.963,
1498
+ "r_b": 7.752,
1499
+ "r_min": 7.752,
1500
+ "delta_over_r_min": 0.15621775025799794,
1501
+ "regime": "Local-Only"
1502
+ },
1503
+ {
1504
+ "pair": "dinov2_vitl14 <-> efficientnet_b0",
1505
+ "source": "atlas",
1506
+ "delta": 0.735,
1507
+ "tau": 0.296,
1508
+ "r_a": 8.963,
1509
+ "r_b": 8.228,
1510
+ "r_min": 8.228,
1511
+ "delta_over_r_min": 0.08932912007778318,
1512
+ "regime": "Local-Only"
1513
+ },
1514
+ {
1515
+ "pair": "dinov2_vitl14 <-> mixer_b16_224",
1516
+ "source": "atlas",
1517
+ "delta": 0.926,
1518
+ "tau": 0.3167,
1519
+ "r_a": 8.963,
1520
+ "r_b": 8.037,
1521
+ "r_min": 8.037,
1522
+ "delta_over_r_min": 0.11521712081622495,
1523
+ "regime": "Local-Only"
1524
+ },
1525
+ {
1526
+ "pair": "dinov2_vitl14 <-> resnet101",
1527
+ "source": "atlas",
1528
+ "delta": 0.369,
1529
+ "tau": 0.3696,
1530
+ "r_a": 8.963,
1531
+ "r_b": 8.594,
1532
+ "r_min": 8.594,
1533
+ "delta_over_r_min": 0.042936932743774726,
1534
+ "regime": "Local-Only"
1535
+ },
1536
+ {
1537
+ "pair": "dinov2_vitl14 <-> resnet50",
1538
+ "source": "atlas",
1539
+ "delta": 0.858,
1540
+ "tau": 0.2237,
1541
+ "r_a": 8.963,
1542
+ "r_b": 8.105,
1543
+ "r_min": 8.105,
1544
+ "delta_over_r_min": 0.10586057988895743,
1545
+ "regime": "Local-Only"
1546
+ },
1547
+ {
1548
+ "pair": "dinov2_vitl14 <-> swin_base_patch4_window7_224",
1549
+ "source": "atlas",
1550
+ "delta": 0.565,
1551
+ "tau": 0.0246,
1552
+ "r_a": 8.963,
1553
+ "r_b": 8.398,
1554
+ "r_min": 8.398,
1555
+ "delta_over_r_min": 0.06727792331507501,
1556
+ "regime": "Local-Only"
1557
+ },
1558
+ {
1559
+ "pair": "dinov2_vitl14 <-> vit_base_patch16_224",
1560
+ "source": "atlas",
1561
+ "delta": 1.194,
1562
+ "tau": 0.3037,
1563
+ "r_a": 8.963,
1564
+ "r_b": 7.77,
1565
+ "r_min": 7.77,
1566
+ "delta_over_r_min": 0.15366795366795366,
1567
+ "regime": "Local-Only"
1568
+ },
1569
+ {
1570
+ "pair": "dinov2_vitl14 <-> vit_base_patch16_224.mae",
1571
+ "source": "atlas",
1572
+ "delta": 7.314,
1573
+ "tau": 0.005,
1574
+ "r_a": 8.963,
1575
+ "r_b": 1.649,
1576
+ "r_min": 1.649,
1577
+ "delta_over_r_min": 4.435415403274712,
1578
+ "regime": "Divergent"
1579
+ },
1580
+ {
1581
+ "pair": "dinov2_vitl14 <-> vit_large_patch16_224",
1582
+ "source": "atlas",
1583
+ "delta": 1.302,
1584
+ "tau": 0.1926,
1585
+ "r_a": 8.963,
1586
+ "r_b": 7.661,
1587
+ "r_min": 7.661,
1588
+ "delta_over_r_min": 0.16995170343297222,
1589
+ "regime": "Local-Only"
1590
+ },
1591
+ {
1592
+ "pair": "dinov2_vitl14 <-> vit_large_patch16_224.mae",
1593
+ "source": "atlas",
1594
+ "delta": 4.065,
1595
+ "tau": 0.0001,
1596
+ "r_a": 8.963,
1597
+ "r_b": 4.898,
1598
+ "r_min": 4.898,
1599
+ "delta_over_r_min": 0.8299305839118009,
1600
+ "regime": "Local-Only"
1601
+ },
1602
+ {
1603
+ "pair": "dinov2_vits14 <-> efficientnet_b0",
1604
+ "source": "atlas",
1605
+ "delta": 0.477,
1606
+ "tau": 0.0869,
1607
+ "r_a": 7.752,
1608
+ "r_b": 8.228,
1609
+ "r_min": 7.752,
1610
+ "delta_over_r_min": 0.061532507739938076,
1611
+ "regime": "Local-Only"
1612
+ },
1613
+ {
1614
+ "pair": "dinov2_vits14 <-> mixer_b16_224",
1615
+ "source": "atlas",
1616
+ "delta": 0.286,
1617
+ "tau": 0.0209,
1618
+ "r_a": 7.752,
1619
+ "r_b": 8.037,
1620
+ "r_min": 7.752,
1621
+ "delta_over_r_min": 0.0368937048503612,
1622
+ "regime": "Local-Only"
1623
+ },
1624
+ {
1625
+ "pair": "dinov2_vits14 <-> resnet101",
1626
+ "source": "atlas",
1627
+ "delta": 0.842,
1628
+ "tau": 0.1095,
1629
+ "r_a": 7.752,
1630
+ "r_b": 8.594,
1631
+ "r_min": 7.752,
1632
+ "delta_over_r_min": 0.1086171310629515,
1633
+ "regime": "Local-Only"
1634
+ },
1635
+ {
1636
+ "pair": "dinov2_vits14 <-> resnet50",
1637
+ "source": "atlas",
1638
+ "delta": 0.353,
1639
+ "tau": 0.0886,
1640
+ "r_a": 7.752,
1641
+ "r_b": 8.105,
1642
+ "r_min": 7.752,
1643
+ "delta_over_r_min": 0.045536635706914345,
1644
+ "regime": "Local-Only"
1645
+ },
1646
+ {
1647
+ "pair": "dinov2_vits14 <-> swin_base_patch4_window7_224",
1648
+ "source": "atlas",
1649
+ "delta": 0.647,
1650
+ "tau": 0.1523,
1651
+ "r_a": 7.752,
1652
+ "r_b": 8.398,
1653
+ "r_min": 7.752,
1654
+ "delta_over_r_min": 0.08346233230134159,
1655
+ "regime": "Local-Only"
1656
+ },
1657
+ {
1658
+ "pair": "dinov2_vits14 <-> vit_base_patch16_224",
1659
+ "source": "atlas",
1660
+ "delta": 0.018,
1661
+ "tau": 0.0685,
1662
+ "r_a": 7.752,
1663
+ "r_b": 7.77,
1664
+ "r_min": 7.752,
1665
+ "delta_over_r_min": 0.0023219814241486067,
1666
+ "regime": "Local-Only"
1667
+ },
1668
+ {
1669
+ "pair": "dinov2_vits14 <-> vit_base_patch16_224.mae",
1670
+ "source": "atlas",
1671
+ "delta": 6.103,
1672
+ "tau": 0.003,
1673
+ "r_a": 7.752,
1674
+ "r_b": 1.649,
1675
+ "r_min": 1.649,
1676
+ "delta_over_r_min": 3.7010309278350513,
1677
+ "regime": "Divergent"
1678
+ },
1679
+ {
1680
+ "pair": "dinov2_vits14 <-> vit_large_patch16_224",
1681
+ "source": "atlas",
1682
+ "delta": 0.091,
1683
+ "tau": 0.0768,
1684
+ "r_a": 7.752,
1685
+ "r_b": 7.661,
1686
+ "r_min": 7.661,
1687
+ "delta_over_r_min": 0.011878344863594832,
1688
+ "regime": "Local-Only"
1689
+ },
1690
+ {
1691
+ "pair": "dinov2_vits14 <-> vit_large_patch16_224.mae",
1692
+ "source": "atlas",
1693
+ "delta": 2.853,
1694
+ "tau": 0.0,
1695
+ "r_a": 7.752,
1696
+ "r_b": 4.898,
1697
+ "r_min": 4.898,
1698
+ "delta_over_r_min": 0.5824826459779503,
1699
+ "regime": "Local-Only"
1700
+ },
1701
+ {
1702
+ "pair": "efficientnet_b0 <-> mixer_b16_224",
1703
+ "source": "atlas",
1704
+ "delta": 0.191,
1705
+ "tau": 0.6188,
1706
+ "r_a": 8.228,
1707
+ "r_b": 8.037,
1708
+ "r_min": 8.037,
1709
+ "delta_over_r_min": 0.023765086475052877,
1710
+ "regime": "Convergent"
1711
+ },
1712
+ {
1713
+ "pair": "efficientnet_b0 <-> resnet101",
1714
+ "source": "atlas",
1715
+ "delta": 0.366,
1716
+ "tau": 0.5747,
1717
+ "r_a": 8.228,
1718
+ "r_b": 8.594,
1719
+ "r_min": 8.228,
1720
+ "delta_over_r_min": 0.04448225571220224,
1721
+ "regime": "Convergent"
1722
+ },
1723
+ {
1724
+ "pair": "efficientnet_b0 <-> resnet50",
1725
+ "source": "atlas",
1726
+ "delta": 0.124,
1727
+ "tau": 0.4761,
1728
+ "r_a": 8.228,
1729
+ "r_b": 8.105,
1730
+ "r_min": 8.105,
1731
+ "delta_over_r_min": 0.01529919802590993,
1732
+ "regime": "Local-Only"
1733
+ },
1734
+ {
1735
+ "pair": "efficientnet_b0 <-> swin_base_patch4_window7_224",
1736
+ "source": "atlas",
1737
+ "delta": 0.17,
1738
+ "tau": 0.3716,
1739
+ "r_a": 8.228,
1740
+ "r_b": 8.398,
1741
+ "r_min": 8.228,
1742
+ "delta_over_r_min": 0.02066115702479339,
1743
+ "regime": "Local-Only"
1744
+ },
1745
+ {
1746
+ "pair": "efficientnet_b0 <-> vit_base_patch16_224",
1747
+ "source": "atlas",
1748
+ "delta": 0.459,
1749
+ "tau": 0.3528,
1750
+ "r_a": 8.228,
1751
+ "r_b": 7.77,
1752
+ "r_min": 7.77,
1753
+ "delta_over_r_min": 0.05907335907335908,
1754
+ "regime": "Local-Only"
1755
+ },
1756
+ {
1757
+ "pair": "efficientnet_b0 <-> vit_base_patch16_224.mae",
1758
+ "source": "atlas",
1759
+ "delta": 6.58,
1760
+ "tau": 0.004,
1761
+ "r_a": 8.228,
1762
+ "r_b": 1.649,
1763
+ "r_min": 1.649,
1764
+ "delta_over_r_min": 3.99029714978775,
1765
+ "regime": "Divergent"
1766
+ },
1767
+ {
1768
+ "pair": "efficientnet_b0 <-> vit_large_patch16_224",
1769
+ "source": "atlas",
1770
+ "delta": 0.567,
1771
+ "tau": 0.2704,
1772
+ "r_a": 8.228,
1773
+ "r_b": 7.661,
1774
+ "r_min": 7.661,
1775
+ "delta_over_r_min": 0.07401122568855241,
1776
+ "regime": "Local-Only"
1777
+ },
1778
+ {
1779
+ "pair": "efficientnet_b0 <-> vit_large_patch16_224.mae",
1780
+ "source": "atlas",
1781
+ "delta": 3.33,
1782
+ "tau": 0.0,
1783
+ "r_a": 8.228,
1784
+ "r_b": 4.898,
1785
+ "r_min": 4.898,
1786
+ "delta_over_r_min": 0.6798693344222132,
1787
+ "regime": "Local-Only"
1788
+ },
1789
+ {
1790
+ "pair": "mixer_b16_224 <-> resnet101",
1791
+ "source": "atlas",
1792
+ "delta": 0.557,
1793
+ "tau": 0.5199,
1794
+ "r_a": 8.037,
1795
+ "r_b": 8.594,
1796
+ "r_min": 8.037,
1797
+ "delta_over_r_min": 0.06930446684086101,
1798
+ "regime": "Convergent"
1799
+ },
1800
+ {
1801
+ "pair": "mixer_b16_224 <-> resnet50",
1802
+ "source": "atlas",
1803
+ "delta": 0.068,
1804
+ "tau": 0.4262,
1805
+ "r_a": 8.037,
1806
+ "r_b": 8.105,
1807
+ "r_min": 8.037,
1808
+ "delta_over_r_min": 0.0084608684832649,
1809
+ "regime": "Local-Only"
1810
+ },
1811
+ {
1812
+ "pair": "mixer_b16_224 <-> swin_base_patch4_window7_224",
1813
+ "source": "atlas",
1814
+ "delta": 0.361,
1815
+ "tau": 0.2714,
1816
+ "r_a": 8.037,
1817
+ "r_b": 8.398,
1818
+ "r_min": 8.037,
1819
+ "delta_over_r_min": 0.044917257683215125,
1820
+ "regime": "Local-Only"
1821
+ },
1822
+ {
1823
+ "pair": "mixer_b16_224 <-> vit_base_patch16_224",
1824
+ "source": "atlas",
1825
+ "delta": 0.268,
1826
+ "tau": 0.179,
1827
+ "r_a": 8.037,
1828
+ "r_b": 7.77,
1829
+ "r_min": 7.77,
1830
+ "delta_over_r_min": 0.0344916344916345,
1831
+ "regime": "Local-Only"
1832
+ },
1833
+ {
1834
+ "pair": "mixer_b16_224 <-> vit_base_patch16_224.mae",
1835
+ "source": "atlas",
1836
+ "delta": 6.389,
1837
+ "tau": 0.0023,
1838
+ "r_a": 8.037,
1839
+ "r_b": 1.649,
1840
+ "r_min": 1.649,
1841
+ "delta_over_r_min": 3.8744693753790176,
1842
+ "regime": "Divergent"
1843
+ },
1844
+ {
1845
+ "pair": "mixer_b16_224 <-> vit_large_patch16_224",
1846
+ "source": "atlas",
1847
+ "delta": 0.376,
1848
+ "tau": 0.1801,
1849
+ "r_a": 8.037,
1850
+ "r_b": 7.661,
1851
+ "r_min": 7.661,
1852
+ "delta_over_r_min": 0.049079754601226995,
1853
+ "regime": "Local-Only"
1854
+ },
1855
+ {
1856
+ "pair": "mixer_b16_224 <-> vit_large_patch16_224.mae",
1857
+ "source": "atlas",
1858
+ "delta": 3.139,
1859
+ "tau": 0.0,
1860
+ "r_a": 8.037,
1861
+ "r_b": 4.898,
1862
+ "r_min": 4.898,
1863
+ "delta_over_r_min": 0.6408738260514496,
1864
+ "regime": "Local-Only"
1865
+ },
1866
+ {
1867
+ "pair": "resnet101 <-> resnet50",
1868
+ "source": "atlas",
1869
+ "delta": 0.489,
1870
+ "tau": 0.5445,
1871
+ "r_a": 8.594,
1872
+ "r_b": 8.105,
1873
+ "r_min": 8.105,
1874
+ "delta_over_r_min": 0.06033312769895126,
1875
+ "regime": "Convergent"
1876
+ },
1877
+ {
1878
+ "pair": "resnet101 <-> swin_base_patch4_window7_224",
1879
+ "source": "atlas",
1880
+ "delta": 0.196,
1881
+ "tau": 0.3606,
1882
+ "r_a": 8.594,
1883
+ "r_b": 8.398,
1884
+ "r_min": 8.398,
1885
+ "delta_over_r_min": 0.02333889021195523,
1886
+ "regime": "Local-Only"
1887
+ },
1888
+ {
1889
+ "pair": "resnet101 <-> vit_base_patch16_224",
1890
+ "source": "atlas",
1891
+ "delta": 0.824,
1892
+ "tau": 0.3564,
1893
+ "r_a": 8.594,
1894
+ "r_b": 7.77,
1895
+ "r_min": 7.77,
1896
+ "delta_over_r_min": 0.10604890604890604,
1897
+ "regime": "Local-Only"
1898
+ },
1899
+ {
1900
+ "pair": "resnet101 <-> vit_base_patch16_224.mae",
1901
+ "source": "atlas",
1902
+ "delta": 6.945,
1903
+ "tau": 0.0037,
1904
+ "r_a": 8.594,
1905
+ "r_b": 1.649,
1906
+ "r_min": 1.649,
1907
+ "delta_over_r_min": 4.2116434202547,
1908
+ "regime": "Divergent"
1909
+ },
1910
+ {
1911
+ "pair": "resnet101 <-> vit_large_patch16_224",
1912
+ "source": "atlas",
1913
+ "delta": 0.933,
1914
+ "tau": 0.3229,
1915
+ "r_a": 8.594,
1916
+ "r_b": 7.661,
1917
+ "r_min": 7.661,
1918
+ "delta_over_r_min": 0.12178566766740635,
1919
+ "regime": "Local-Only"
1920
+ },
1921
+ {
1922
+ "pair": "resnet101 <-> vit_large_patch16_224.mae",
1923
+ "source": "atlas",
1924
+ "delta": 3.696,
1925
+ "tau": 0.0,
1926
+ "r_a": 8.594,
1927
+ "r_b": 4.898,
1928
+ "r_min": 4.898,
1929
+ "delta_over_r_min": 0.7545937117190691,
1930
+ "regime": "Local-Only"
1931
+ },
1932
+ {
1933
+ "pair": "resnet50 <-> swin_base_patch4_window7_224",
1934
+ "source": "atlas",
1935
+ "delta": 0.294,
1936
+ "tau": 0.2863,
1937
+ "r_a": 8.105,
1938
+ "r_b": 8.398,
1939
+ "r_min": 8.105,
1940
+ "delta_over_r_min": 0.03627390499691548,
1941
+ "regime": "Local-Only"
1942
+ },
1943
+ {
1944
+ "pair": "resnet50 <-> vit_base_patch16_224",
1945
+ "source": "atlas",
1946
+ "delta": 0.335,
1947
+ "tau": 0.2533,
1948
+ "r_a": 8.105,
1949
+ "r_b": 7.77,
1950
+ "r_min": 7.77,
1951
+ "delta_over_r_min": 0.043114543114543116,
1952
+ "regime": "Local-Only"
1953
+ },
1954
+ {
1955
+ "pair": "resnet50 <-> vit_base_patch16_224.mae",
1956
+ "source": "atlas",
1957
+ "delta": 6.456,
1958
+ "tau": 0.0038,
1959
+ "r_a": 8.105,
1960
+ "r_b": 1.649,
1961
+ "r_min": 1.649,
1962
+ "delta_over_r_min": 3.915100060642814,
1963
+ "regime": "Divergent"
1964
+ },
1965
+ {
1966
+ "pair": "resnet50 <-> vit_large_patch16_224",
1967
+ "source": "atlas",
1968
+ "delta": 0.444,
1969
+ "tau": 0.2387,
1970
+ "r_a": 8.105,
1971
+ "r_b": 7.661,
1972
+ "r_min": 7.661,
1973
+ "delta_over_r_min": 0.0579558804333638,
1974
+ "regime": "Local-Only"
1975
+ },
1976
+ {
1977
+ "pair": "resnet50 <-> vit_large_patch16_224.mae",
1978
+ "source": "atlas",
1979
+ "delta": 3.206,
1980
+ "tau": 0.0,
1981
+ "r_a": 8.105,
1982
+ "r_b": 4.898,
1983
+ "r_min": 4.898,
1984
+ "delta_over_r_min": 0.6545528787260106,
1985
+ "regime": "Local-Only"
1986
+ },
1987
+ {
1988
+ "pair": "swin_base_patch4_window7_224 <-> vit_base_patch16_224",
1989
+ "source": "atlas",
1990
+ "delta": 0.629,
1991
+ "tau": 0.5442,
1992
+ "r_a": 8.398,
1993
+ "r_b": 7.77,
1994
+ "r_min": 7.77,
1995
+ "delta_over_r_min": 0.08095238095238096,
1996
+ "regime": "Convergent"
1997
+ },
1998
+ {
1999
+ "pair": "swin_base_patch4_window7_224 <-> vit_base_patch16_224.mae",
2000
+ "source": "atlas",
2001
+ "delta": 6.75,
2002
+ "tau": 0.0037,
2003
+ "r_a": 8.398,
2004
+ "r_b": 1.649,
2005
+ "r_min": 1.649,
2006
+ "delta_over_r_min": 4.0933899332929045,
2007
+ "regime": "Divergent"
2008
+ },
2009
+ {
2010
+ "pair": "swin_base_patch4_window7_224 <-> vit_large_patch16_224",
2011
+ "source": "atlas",
2012
+ "delta": 0.737,
2013
+ "tau": 0.187,
2014
+ "r_a": 8.398,
2015
+ "r_b": 7.661,
2016
+ "r_min": 7.661,
2017
+ "delta_over_r_min": 0.09620154026889441,
2018
+ "regime": "Local-Only"
2019
+ },
2020
+ {
2021
+ "pair": "swin_base_patch4_window7_224 <-> vit_large_patch16_224.mae",
2022
+ "source": "atlas",
2023
+ "delta": 3.5,
2024
+ "tau": 0.0,
2025
+ "r_a": 8.398,
2026
+ "r_b": 4.898,
2027
+ "r_min": 4.898,
2028
+ "delta_over_r_min": 0.7145773785218457,
2029
+ "regime": "Local-Only"
2030
+ },
2031
+ {
2032
+ "pair": "vit_base_patch16_224 <-> vit_base_patch16_224.mae",
2033
+ "source": "atlas",
2034
+ "delta": 6.121,
2035
+ "tau": 0.0024,
2036
+ "r_a": 7.77,
2037
+ "r_b": 1.649,
2038
+ "r_min": 1.649,
2039
+ "delta_over_r_min": 3.7119466343238328,
2040
+ "regime": "Divergent"
2041
+ },
2042
+ {
2043
+ "pair": "vit_base_patch16_224 <-> vit_large_patch16_224",
2044
+ "source": "atlas",
2045
+ "delta": 0.108,
2046
+ "tau": 0.219,
2047
+ "r_a": 7.77,
2048
+ "r_b": 7.661,
2049
+ "r_min": 7.661,
2050
+ "delta_over_r_min": 0.01409737632162903,
2051
+ "regime": "Local-Only"
2052
+ },
2053
+ {
2054
+ "pair": "vit_base_patch16_224 <-> vit_large_patch16_224.mae",
2055
+ "source": "atlas",
2056
+ "delta": 2.871,
2057
+ "tau": 0.0,
2058
+ "r_a": 7.77,
2059
+ "r_b": 4.898,
2060
+ "r_min": 4.898,
2061
+ "delta_over_r_min": 0.5861576153532054,
2062
+ "regime": "Local-Only"
2063
+ },
2064
+ {
2065
+ "pair": "vit_base_patch16_224.mae <-> vit_large_patch16_224",
2066
+ "source": "atlas",
2067
+ "delta": 6.012,
2068
+ "tau": 0.0023,
2069
+ "r_a": 1.649,
2070
+ "r_b": 7.661,
2071
+ "r_min": 1.649,
2072
+ "delta_over_r_min": 3.64584596725288,
2073
+ "regime": "Divergent"
2074
+ },
2075
+ {
2076
+ "pair": "vit_base_patch16_224.mae <-> vit_large_patch16_224.mae",
2077
+ "source": "atlas",
2078
+ "delta": 3.25,
2079
+ "tau": 0.0208,
2080
+ "r_a": 1.649,
2081
+ "r_b": 4.898,
2082
+ "r_min": 1.649,
2083
+ "delta_over_r_min": 1.9708914493632503,
2084
+ "regime": "Local-Only"
2085
+ },
2086
+ {
2087
+ "pair": "vit_large_patch16_224 <-> vit_large_patch16_224.mae",
2088
+ "source": "atlas",
2089
+ "delta": 2.763,
2090
+ "tau": 0.0,
2091
+ "r_a": 7.661,
2092
+ "r_b": 4.898,
2093
+ "r_min": 4.898,
2094
+ "delta_over_r_min": 0.5641077991016742,
2095
+ "regime": "Local-Only"
2096
+ },
2097
+ {
2098
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
2099
+ "source": "causal",
2100
+ "compression_level": 1.0,
2101
+ "delta": 0.3626,
2102
+ "tau": 0.4052,
2103
+ "r_a": 8.6006,
2104
+ "r_b": 8.9632,
2105
+ "r_min": 8.6006,
2106
+ "delta_over_r_min": 0.042159849312838636
2107
+ },
2108
+ {
2109
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
2110
+ "source": "causal",
2111
+ "compression_level": 0.75,
2112
+ "delta": 0.5836,
2113
+ "tau": 0.4617,
2114
+ "r_a": 8.3796,
2115
+ "r_b": 8.9632,
2116
+ "r_min": 8.3796,
2117
+ "delta_over_r_min": 0.0696453291326555
2118
+ },
2119
+ {
2120
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
2121
+ "source": "causal",
2122
+ "compression_level": 0.5,
2123
+ "delta": 0.9987,
2124
+ "tau": 0.5698,
2125
+ "r_a": 7.9645,
2126
+ "r_b": 8.9632,
2127
+ "r_min": 7.9645,
2128
+ "delta_over_r_min": 0.12539393558917697
2129
+ },
2130
+ {
2131
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
2132
+ "source": "causal",
2133
+ "compression_level": 0.375,
2134
+ "delta": 1.3253,
2135
+ "tau": 0.6353,
2136
+ "r_a": 7.6379,
2137
+ "r_b": 8.9632,
2138
+ "r_min": 7.6379,
2139
+ "delta_over_r_min": 0.17351628065305907
2140
+ },
2141
+ {
2142
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
2143
+ "source": "causal",
2144
+ "compression_level": 0.25,
2145
+ "delta": 1.8084,
2146
+ "tau": 0.6972,
2147
+ "r_a": 7.1548,
2148
+ "r_b": 8.9632,
2149
+ "r_min": 7.1548,
2150
+ "delta_over_r_min": 0.2527533963213507
2151
+ },
2152
+ {
2153
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
2154
+ "source": "causal",
2155
+ "compression_level": 0.125,
2156
+ "delta": 2.6739,
2157
+ "tau": 0.6736,
2158
+ "r_a": 6.2893,
2159
+ "r_b": 8.9632,
2160
+ "r_min": 6.2893,
2161
+ "delta_over_r_min": 0.42515065269584856
2162
+ },
2163
+ {
2164
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
2165
+ "source": "causal",
2166
+ "compression_level": 0.0625,
2167
+ "delta": 3.5942,
2168
+ "tau": 0.5303,
2169
+ "r_a": 5.369,
2170
+ "r_b": 8.9632,
2171
+ "r_min": 5.369,
2172
+ "delta_over_r_min": 0.6694356490966661
2173
+ },
2174
+ {
2175
+ "pair": "clip_vitb16 <-> clip_vitl14",
2176
+ "source": "causal",
2177
+ "compression_level": 1.0,
2178
+ "delta": 0.6011,
2179
+ "tau": 0.9405,
2180
+ "r_a": 6.8409,
2181
+ "r_b": 7.4421,
2182
+ "r_min": 6.8409,
2183
+ "delta_over_r_min": 0.08786855530705023
2184
+ },
2185
+ {
2186
+ "pair": "clip_vitb16 <-> clip_vitl14",
2187
+ "source": "causal",
2188
+ "compression_level": 0.75,
2189
+ "delta": 0.6774,
2190
+ "tau": 0.9339,
2191
+ "r_a": 6.7647,
2192
+ "r_b": 7.4421,
2193
+ "r_min": 6.7647,
2194
+ "delta_over_r_min": 0.10013747838041598
2195
+ },
2196
+ {
2197
+ "pair": "clip_vitb16 <-> clip_vitl14",
2198
+ "source": "causal",
2199
+ "compression_level": 0.5,
2200
+ "delta": 0.9174,
2201
+ "tau": 0.9253,
2202
+ "r_a": 6.5247,
2203
+ "r_b": 7.4421,
2204
+ "r_min": 6.5247,
2205
+ "delta_over_r_min": 0.14060416570876821
2206
+ },
2207
+ {
2208
+ "pair": "clip_vitb16 <-> clip_vitl14",
2209
+ "source": "causal",
2210
+ "compression_level": 0.375,
2211
+ "delta": 1.1389,
2212
+ "tau": 0.9156,
2213
+ "r_a": 6.3032,
2214
+ "r_b": 7.4421,
2215
+ "r_min": 6.3032,
2216
+ "delta_over_r_min": 0.18068600076151795
2217
+ },
2218
+ {
2219
+ "pair": "clip_vitb16 <-> clip_vitl14",
2220
+ "source": "causal",
2221
+ "compression_level": 0.25,
2222
+ "delta": 1.4965,
2223
+ "tau": 0.8964,
2224
+ "r_a": 5.9455,
2225
+ "r_b": 7.4421,
2226
+ "r_min": 5.9455,
2227
+ "delta_over_r_min": 0.2517029686317383
2228
+ },
2229
+ {
2230
+ "pair": "clip_vitb16 <-> clip_vitl14",
2231
+ "source": "causal",
2232
+ "compression_level": 0.125,
2233
+ "delta": 2.2001,
2234
+ "tau": 0.8118,
2235
+ "r_a": 5.242,
2236
+ "r_b": 7.4421,
2237
+ "r_min": 5.242,
2238
+ "delta_over_r_min": 0.4197062190003815
2239
+ },
2240
+ {
2241
+ "pair": "clip_vitb16 <-> clip_vitl14",
2242
+ "source": "causal",
2243
+ "compression_level": 0.0625,
2244
+ "delta": 2.9831,
2245
+ "tau": 0.7091,
2246
+ "r_a": 4.459,
2247
+ "r_b": 7.4421,
2248
+ "r_min": 4.459,
2249
+ "delta_over_r_min": 0.6690065037003813
2250
+ },
2251
+ {
2252
+ "pair": "resnet50 <-> resnet101",
2253
+ "source": "causal",
2254
+ "compression_level": 1.0,
2255
+ "delta": 0.4883,
2256
+ "tau": 1.0,
2257
+ "r_a": 8.1057,
2258
+ "r_b": 8.594,
2259
+ "r_min": 8.1057,
2260
+ "delta_over_r_min": 0.06024155840951429
2261
+ },
2262
+ {
2263
+ "pair": "resnet50 <-> resnet101",
2264
+ "source": "causal",
2265
+ "compression_level": 0.75,
2266
+ "delta": 0.5478,
2267
+ "tau": 1.0,
2268
+ "r_a": 8.0462,
2269
+ "r_b": 8.594,
2270
+ "r_min": 8.0462,
2271
+ "delta_over_r_min": 0.06808182744649648
2272
+ },
2273
+ {
2274
+ "pair": "resnet50 <-> resnet101",
2275
+ "source": "causal",
2276
+ "compression_level": 0.5,
2277
+ "delta": 0.7463,
2278
+ "tau": 1.0,
2279
+ "r_a": 7.8477,
2280
+ "r_b": 8.594,
2281
+ "r_min": 7.8477,
2282
+ "delta_over_r_min": 0.09509792678109509
2283
+ },
2284
+ {
2285
+ "pair": "resnet50 <-> resnet101",
2286
+ "source": "causal",
2287
+ "compression_level": 0.375,
2288
+ "delta": 0.9432,
2289
+ "tau": 1.0,
2290
+ "r_a": 7.6508,
2291
+ "r_b": 8.594,
2292
+ "r_min": 7.6508,
2293
+ "delta_over_r_min": 0.12328122549275893
2294
+ },
2295
+ {
2296
+ "pair": "resnet50 <-> resnet101",
2297
+ "source": "causal",
2298
+ "compression_level": 0.25,
2299
+ "delta": 1.2704,
2300
+ "tau": 0.9843,
2301
+ "r_a": 7.3236,
2302
+ "r_b": 8.594,
2303
+ "r_min": 7.3236,
2304
+ "delta_over_r_min": 0.1734666011251297
2305
+ },
2306
+ {
2307
+ "pair": "resnet50 <-> resnet101",
2308
+ "source": "causal",
2309
+ "compression_level": 0.125,
2310
+ "delta": 1.9069,
2311
+ "tau": 1.0,
2312
+ "r_a": 6.6871,
2313
+ "r_b": 8.594,
2314
+ "r_min": 6.6871,
2315
+ "delta_over_r_min": 0.2851609815914223
2316
+ },
2317
+ {
2318
+ "pair": "resnet50 <-> resnet101",
2319
+ "source": "causal",
2320
+ "compression_level": 0.0625,
2321
+ "delta": 2.5952,
2322
+ "tau": 0.9888,
2323
+ "r_a": 5.9988,
2324
+ "r_b": 8.594,
2325
+ "r_min": 5.9988,
2326
+ "delta_over_r_min": 0.4326198573047943
2327
+ },
2328
+ {
2329
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
2330
+ "source": "causal",
2331
+ "compression_level": 1.0,
2332
+ "delta": 2.4089,
2333
+ "tau": 0.088,
2334
+ "r_a": 8.9635,
2335
+ "r_b": 6.5546,
2336
+ "r_min": 6.5546,
2337
+ "delta_over_r_min": 0.3675128917096391
2338
+ },
2339
+ {
2340
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
2341
+ "source": "causal",
2342
+ "compression_level": 0.75,
2343
+ "delta": 2.1986,
2344
+ "tau": 0.1048,
2345
+ "r_a": 8.7532,
2346
+ "r_b": 6.5546,
2347
+ "r_min": 6.5546,
2348
+ "delta_over_r_min": 0.33542855399261584
2349
+ },
2350
+ {
2351
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
2352
+ "source": "causal",
2353
+ "compression_level": 0.5,
2354
+ "delta": 1.7977,
2355
+ "tau": 0.0545,
2356
+ "r_a": 8.3523,
2357
+ "r_b": 6.5546,
2358
+ "r_min": 6.5546,
2359
+ "delta_over_r_min": 0.27426540139749184
2360
+ },
2361
+ {
2362
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
2363
+ "source": "causal",
2364
+ "compression_level": 0.375,
2365
+ "delta": 1.4797,
2366
+ "tau": 0.036,
2367
+ "r_a": 8.0343,
2368
+ "r_b": 6.5546,
2369
+ "r_min": 6.5546,
2370
+ "delta_over_r_min": 0.22574985506361944
2371
+ },
2372
+ {
2373
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
2374
+ "source": "causal",
2375
+ "compression_level": 0.25,
2376
+ "delta": 1.0092,
2377
+ "tau": 0.029,
2378
+ "r_a": 7.5638,
2379
+ "r_b": 6.5546,
2380
+ "r_min": 6.5546,
2381
+ "delta_over_r_min": 0.15396820553504412
2382
+ },
2383
+ {
2384
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
2385
+ "source": "causal",
2386
+ "compression_level": 0.125,
2387
+ "delta": 0.1737,
2388
+ "tau": 0.0401,
2389
+ "r_a": 6.7283,
2390
+ "r_b": 6.5546,
2391
+ "r_min": 6.5546,
2392
+ "delta_over_r_min": 0.02650047295029445
2393
+ },
2394
+ {
2395
+ "pair": "dinov2_vitl14 <-> beit_large_patch16_224",
2396
+ "source": "causal",
2397
+ "compression_level": 0.0625,
2398
+ "delta": 0.7219,
2399
+ "tau": 0.0784,
2400
+ "r_a": 5.8327,
2401
+ "r_b": 6.5546,
2402
+ "r_min": 5.8327,
2403
+ "delta_over_r_min": 0.12376772335282116
2404
+ },
2405
+ {
2406
+ "pair": "vit_base_patch16_224 <-> resnet50",
2407
+ "source": "causal",
2408
+ "compression_level": 1.0,
2409
+ "delta": 0.3352,
2410
+ "tau": 0.2532,
2411
+ "r_a": 7.7697,
2412
+ "r_b": 8.1049,
2413
+ "r_min": 7.7697,
2414
+ "delta_over_r_min": 0.04314194885259405
2415
+ },
2416
+ {
2417
+ "pair": "vit_base_patch16_224 <-> resnet50",
2418
+ "source": "causal",
2419
+ "compression_level": 0.75,
2420
+ "delta": 0.4561,
2421
+ "tau": 0.2471,
2422
+ "r_a": 7.6488,
2423
+ "r_b": 8.1049,
2424
+ "r_min": 7.6488,
2425
+ "delta_over_r_min": 0.059630268800334695
2426
+ },
2427
+ {
2428
+ "pair": "vit_base_patch16_224 <-> resnet50",
2429
+ "source": "causal",
2430
+ "compression_level": 0.5,
2431
+ "delta": 0.7294,
2432
+ "tau": 0.2272,
2433
+ "r_a": 7.3755,
2434
+ "r_b": 8.1049,
2435
+ "r_min": 7.3755,
2436
+ "delta_over_r_min": 0.09889499017015796
2437
+ },
2438
+ {
2439
+ "pair": "vit_base_patch16_224 <-> resnet50",
2440
+ "source": "causal",
2441
+ "compression_level": 0.375,
2442
+ "delta": 0.98,
2443
+ "tau": 0.223,
2444
+ "r_a": 7.1248,
2445
+ "r_b": 8.1049,
2446
+ "r_min": 7.1248,
2447
+ "delta_over_r_min": 0.1375477206377723
2448
+ },
2449
+ {
2450
+ "pair": "vit_base_patch16_224 <-> resnet50",
2451
+ "source": "causal",
2452
+ "compression_level": 0.25,
2453
+ "delta": 1.3879,
2454
+ "tau": 0.253,
2455
+ "r_a": 6.717,
2456
+ "r_b": 8.1049,
2457
+ "r_min": 6.717,
2458
+ "delta_over_r_min": 0.2066249813905017
2459
+ },
2460
+ {
2461
+ "pair": "vit_base_patch16_224 <-> resnet50",
2462
+ "source": "causal",
2463
+ "compression_level": 0.125,
2464
+ "delta": 2.1739,
2465
+ "tau": 0.4112,
2466
+ "r_a": 5.931,
2467
+ "r_b": 8.1049,
2468
+ "r_min": 5.931,
2469
+ "delta_over_r_min": 0.3665317821615242
2470
+ },
2471
+ {
2472
+ "pair": "vit_base_patch16_224 <-> resnet50",
2473
+ "source": "causal",
2474
+ "compression_level": 0.0625,
2475
+ "delta": 3.0213,
2476
+ "tau": 0.5903,
2477
+ "r_a": 5.0835,
2478
+ "r_b": 8.1049,
2479
+ "r_min": 5.0835,
2480
+ "delta_over_r_min": 0.5943346119799351
2481
+ },
2482
+ {
2483
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
2484
+ "source": "causal",
2485
+ "compression_level": 1.0,
2486
+ "delta": 1.7598,
2487
+ "tau": 0.0448,
2488
+ "r_a": 8.6006,
2489
+ "r_b": 6.8408,
2490
+ "r_min": 6.8408,
2491
+ "delta_over_r_min": 0.25725061396327914
2492
+ },
2493
+ {
2494
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
2495
+ "source": "causal",
2496
+ "compression_level": 0.75,
2497
+ "delta": 1.5388,
2498
+ "tau": 0.0351,
2499
+ "r_a": 8.3796,
2500
+ "r_b": 6.8408,
2501
+ "r_min": 6.8408,
2502
+ "delta_over_r_min": 0.22494445094141036
2503
+ },
2504
+ {
2505
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
2506
+ "source": "causal",
2507
+ "compression_level": 0.5,
2508
+ "delta": 1.1237,
2509
+ "tau": 0.0262,
2510
+ "r_a": 7.9645,
2511
+ "r_b": 6.8408,
2512
+ "r_min": 6.8408,
2513
+ "delta_over_r_min": 0.16426441351888668
2514
+ },
2515
+ {
2516
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
2517
+ "source": "causal",
2518
+ "compression_level": 0.375,
2519
+ "delta": 0.7971,
2520
+ "tau": 0.0234,
2521
+ "r_a": 7.6379,
2522
+ "r_b": 6.8408,
2523
+ "r_min": 6.8408,
2524
+ "delta_over_r_min": 0.11652145947842359
2525
+ },
2526
+ {
2527
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
2528
+ "source": "causal",
2529
+ "compression_level": 0.25,
2530
+ "delta": 0.3139,
2531
+ "tau": 0.0227,
2532
+ "r_a": 7.1548,
2533
+ "r_b": 6.8408,
2534
+ "r_min": 6.8408,
2535
+ "delta_over_r_min": 0.04588644602970413
2536
+ },
2537
+ {
2538
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
2539
+ "source": "causal",
2540
+ "compression_level": 0.125,
2541
+ "delta": 0.5515,
2542
+ "tau": 0.0268,
2543
+ "r_a": 6.2893,
2544
+ "r_b": 6.8408,
2545
+ "r_min": 6.2893,
2546
+ "delta_over_r_min": 0.0876886139951982
2547
+ },
2548
+ {
2549
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
2550
+ "source": "causal",
2551
+ "compression_level": 0.0625,
2552
+ "delta": 1.4719,
2553
+ "tau": 0.0388,
2554
+ "r_a": 5.369,
2555
+ "r_b": 6.8408,
2556
+ "r_min": 5.369,
2557
+ "delta_over_r_min": 0.2741478860122928
2558
+ },
2559
+ {
2560
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
2561
+ "source": "causal",
2562
+ "compression_level": 1.0,
2563
+ "delta": 6.1207,
2564
+ "tau": 0.1959,
2565
+ "r_a": 1.6488,
2566
+ "r_b": 7.7695,
2567
+ "r_min": 1.6488,
2568
+ "delta_over_r_min": 3.7122149442018437
2569
+ },
2570
+ {
2571
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
2572
+ "source": "causal",
2573
+ "compression_level": 0.75,
2574
+ "delta": 6.1225,
2575
+ "tau": 0.2023,
2576
+ "r_a": 1.647,
2577
+ "r_b": 7.7695,
2578
+ "r_min": 1.647,
2579
+ "delta_over_r_min": 3.7173649058894958
2580
+ },
2581
+ {
2582
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
2583
+ "source": "causal",
2584
+ "compression_level": 0.5,
2585
+ "delta": 6.1291,
2586
+ "tau": 0.2072,
2587
+ "r_a": 1.6404,
2588
+ "r_b": 7.7695,
2589
+ "r_min": 1.6404,
2590
+ "delta_over_r_min": 3.7363447939526946
2591
+ },
2592
+ {
2593
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
2594
+ "source": "causal",
2595
+ "compression_level": 0.375,
2596
+ "delta": 6.1369,
2597
+ "tau": 0.204,
2598
+ "r_a": 1.6326,
2599
+ "r_b": 7.7695,
2600
+ "r_min": 1.6326,
2601
+ "delta_over_r_min": 3.7589734166360405
2602
+ },
2603
+ {
2604
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
2605
+ "source": "causal",
2606
+ "compression_level": 0.25,
2607
+ "delta": 6.1525,
2608
+ "tau": 0.1751,
2609
+ "r_a": 1.617,
2610
+ "r_b": 7.7695,
2611
+ "r_min": 1.617,
2612
+ "delta_over_r_min": 3.804885590599876
2613
+ },
2614
+ {
2615
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
2616
+ "source": "causal",
2617
+ "compression_level": 0.125,
2618
+ "delta": 6.1908,
2619
+ "tau": 0.139,
2620
+ "r_a": 1.5787,
2621
+ "r_b": 7.7695,
2622
+ "r_min": 1.5787,
2623
+ "delta_over_r_min": 3.9214543611832524
2624
+ },
2625
+ {
2626
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
2627
+ "source": "causal",
2628
+ "compression_level": 0.0625,
2629
+ "delta": 6.2431,
2630
+ "tau": 0.1175,
2631
+ "r_a": 1.5264,
2632
+ "r_b": 7.7695,
2633
+ "r_min": 1.5264,
2634
+ "delta_over_r_min": 4.090081236897275
2635
+ },
2636
+ {
2637
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
2638
+ "source": "causal",
2639
+ "compression_level": 1.0,
2640
+ "delta": 1.3029,
2641
+ "tau": 0.0993,
2642
+ "r_a": 7.7518,
2643
+ "r_b": 9.0547,
2644
+ "r_min": 7.7518,
2645
+ "delta_over_r_min": 0.16807709177223354
2646
+ },
2647
+ {
2648
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
2649
+ "source": "causal",
2650
+ "compression_level": 0.75,
2651
+ "delta": 1.5195,
2652
+ "tau": 0.1175,
2653
+ "r_a": 7.5352,
2654
+ "r_b": 9.0547,
2655
+ "r_min": 7.5352,
2656
+ "delta_over_r_min": 0.20165357256608984
2657
+ },
2658
+ {
2659
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
2660
+ "source": "causal",
2661
+ "compression_level": 0.5,
2662
+ "delta": 1.947,
2663
+ "tau": 0.1796,
2664
+ "r_a": 7.1077,
2665
+ "r_b": 9.0547,
2666
+ "r_min": 7.1077,
2667
+ "delta_over_r_min": 0.27392827496939937
2668
+ },
2669
+ {
2670
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
2671
+ "source": "causal",
2672
+ "compression_level": 0.375,
2673
+ "delta": 2.2867,
2674
+ "tau": 0.2317,
2675
+ "r_a": 6.768,
2676
+ "r_b": 9.0547,
2677
+ "r_min": 6.768,
2678
+ "delta_over_r_min": 0.33786938534278965
2679
+ },
2680
+ {
2681
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
2682
+ "source": "causal",
2683
+ "compression_level": 0.25,
2684
+ "delta": 2.7922,
2685
+ "tau": 0.2868,
2686
+ "r_a": 6.2625,
2687
+ "r_b": 9.0547,
2688
+ "r_min": 6.2625,
2689
+ "delta_over_r_min": 0.4458602794411177
2690
+ },
2691
+ {
2692
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
2693
+ "source": "causal",
2694
+ "compression_level": 0.125,
2695
+ "delta": 3.6962,
2696
+ "tau": 0.3108,
2697
+ "r_a": 5.3585,
2698
+ "r_b": 9.0547,
2699
+ "r_min": 5.3585,
2700
+ "delta_over_r_min": 0.6897825884109359
2701
+ },
2702
+ {
2703
+ "pair": "dinov2_vits14 <-> dinov2_vitg14",
2704
+ "source": "causal",
2705
+ "compression_level": 0.0625,
2706
+ "delta": 4.6357,
2707
+ "tau": 0.2743,
2708
+ "r_a": 4.419,
2709
+ "r_b": 9.0547,
2710
+ "r_min": 4.419,
2711
+ "delta_over_r_min": 1.0490382439465944
2712
+ },
2713
+ {
2714
+ "pair": "clip_vitb32 <-> clip_vitl14",
2715
+ "source": "causal",
2716
+ "compression_level": 1.0,
2717
+ "delta": 0.5871,
2718
+ "tau": 0.8328,
2719
+ "r_a": 6.855,
2720
+ "r_b": 7.4421,
2721
+ "r_min": 6.855,
2722
+ "delta_over_r_min": 0.08564551422319473
2723
+ },
2724
+ {
2725
+ "pair": "clip_vitb32 <-> clip_vitl14",
2726
+ "source": "causal",
2727
+ "compression_level": 0.75,
2728
+ "delta": 0.6648,
2729
+ "tau": 0.8412,
2730
+ "r_a": 6.7773,
2731
+ "r_b": 7.4421,
2732
+ "r_min": 6.7773,
2733
+ "delta_over_r_min": 0.09809216059492717
2734
+ },
2735
+ {
2736
+ "pair": "clip_vitb32 <-> clip_vitl14",
2737
+ "source": "causal",
2738
+ "compression_level": 0.5,
2739
+ "delta": 0.9122,
2740
+ "tau": 0.8405,
2741
+ "r_a": 6.5299,
2742
+ "r_b": 7.4421,
2743
+ "r_min": 6.5299,
2744
+ "delta_over_r_min": 0.1396958605797945
2745
+ },
2746
+ {
2747
+ "pair": "clip_vitb32 <-> clip_vitl14",
2748
+ "source": "causal",
2749
+ "compression_level": 0.375,
2750
+ "delta": 1.1362,
2751
+ "tau": 0.8353,
2752
+ "r_a": 6.3058,
2753
+ "r_b": 7.4421,
2754
+ "r_min": 6.3058,
2755
+ "delta_over_r_min": 0.18018332328966985
2756
+ },
2757
+ {
2758
+ "pair": "clip_vitb32 <-> clip_vitl14",
2759
+ "source": "causal",
2760
+ "compression_level": 0.25,
2761
+ "delta": 1.4949,
2762
+ "tau": 0.8349,
2763
+ "r_a": 5.9472,
2764
+ "r_b": 7.4421,
2765
+ "r_min": 5.9472,
2766
+ "delta_over_r_min": 0.25136198547215494
2767
+ },
2768
+ {
2769
+ "pair": "clip_vitb32 <-> clip_vitl14",
2770
+ "source": "causal",
2771
+ "compression_level": 0.125,
2772
+ "delta": 2.1934,
2773
+ "tau": 0.7649,
2774
+ "r_a": 5.2486,
2775
+ "r_b": 7.4421,
2776
+ "r_min": 5.2486,
2777
+ "delta_over_r_min": 0.41790191670159665
2778
+ },
2779
+ {
2780
+ "pair": "clip_vitb32 <-> clip_vitl14",
2781
+ "source": "causal",
2782
+ "compression_level": 0.0625,
2783
+ "delta": 2.9649,
2784
+ "tau": 0.6658,
2785
+ "r_a": 4.4771,
2786
+ "r_b": 7.4421,
2787
+ "r_min": 4.4771,
2788
+ "delta_over_r_min": 0.6622367157311653
2789
+ },
2790
+ {
2791
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2792
+ "source": "causal",
2793
+ "compression_level": 1.0,
2794
+ "delta": 0.1568,
2795
+ "tau": 0.771,
2796
+ "r_a": 8.2416,
2797
+ "r_b": 8.3984,
2798
+ "r_min": 8.2416,
2799
+ "delta_over_r_min": 0.0190254319549602
2800
+ },
2801
+ {
2802
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2803
+ "source": "causal",
2804
+ "compression_level": 0.75,
2805
+ "delta": 0.3049,
2806
+ "tau": 0.8249,
2807
+ "r_a": 8.0935,
2808
+ "r_b": 8.3984,
2809
+ "r_min": 8.0935,
2810
+ "delta_over_r_min": 0.037672206091307836
2811
+ },
2812
+ {
2813
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2814
+ "source": "causal",
2815
+ "compression_level": 0.5,
2816
+ "delta": 0.6138,
2817
+ "tau": 0.8629,
2818
+ "r_a": 7.7847,
2819
+ "r_b": 8.3984,
2820
+ "r_min": 7.7847,
2821
+ "delta_over_r_min": 0.07884696905468419
2822
+ },
2823
+ {
2824
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2825
+ "source": "causal",
2826
+ "compression_level": 0.375,
2827
+ "delta": 0.8719,
2828
+ "tau": 0.8739,
2829
+ "r_a": 7.5265,
2830
+ "r_b": 8.3984,
2831
+ "r_min": 7.5265,
2832
+ "delta_over_r_min": 0.11584401780376004
2833
+ },
2834
+ {
2835
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2836
+ "source": "causal",
2837
+ "compression_level": 0.25,
2838
+ "delta": 1.2687,
2839
+ "tau": 0.8727,
2840
+ "r_a": 7.1297,
2841
+ "r_b": 8.3984,
2842
+ "r_min": 7.1297,
2843
+ "delta_over_r_min": 0.17794577611961232
2844
+ },
2845
+ {
2846
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2847
+ "source": "causal",
2848
+ "compression_level": 0.125,
2849
+ "delta": 2.0051,
2850
+ "tau": 0.8359,
2851
+ "r_a": 6.3933,
2852
+ "r_b": 8.3984,
2853
+ "r_min": 6.3933,
2854
+ "delta_over_r_min": 0.3136252013826975
2855
+ },
2856
+ {
2857
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
2858
+ "source": "causal",
2859
+ "compression_level": 0.0625,
2860
+ "delta": 2.8166,
2861
+ "tau": 0.7371,
2862
+ "r_a": 5.5818,
2863
+ "r_b": 8.3984,
2864
+ "r_min": 5.5818,
2865
+ "delta_over_r_min": 0.5046042495252427
2866
+ }
2867
+ ],
2868
+ "analysis": {
2869
+ "thresholds": {
2870
+ "delta_gt_2Rmin": {
2871
+ "threshold": 2.0,
2872
+ "n_positive": 25,
2873
+ "n_negative": 235,
2874
+ "accuracy": 0.2769,
2875
+ "precision": 1.0,
2876
+ "recall": 0.1174
2877
+ },
2878
+ "delta_gt_3Rmin": {
2879
+ "threshold": 3.0,
2880
+ "n_positive": 23,
2881
+ "n_negative": 237,
2882
+ "accuracy": 0.2692,
2883
+ "precision": 1.0,
2884
+ "recall": 0.108
2885
+ },
2886
+ "delta_gt_1": {
2887
+ "threshold": 1.0,
2888
+ "n_positive": 139,
2889
+ "n_negative": 121,
2890
+ "accuracy": 0.5692,
2891
+ "precision": 0.8633,
2892
+ "recall": 0.5634
2893
+ },
2894
+ "delta_gt_2": {
2895
+ "threshold": 2.0,
2896
+ "n_positive": 75,
2897
+ "n_negative": 185,
2898
+ "accuracy": 0.3923,
2899
+ "precision": 0.8667,
2900
+ "recall": 0.3052
2901
+ }
2902
+ },
2903
+ "logistic_regression": {
2904
+ "auc_roc": 0.5973,
2905
+ "delta_critical": -3.1207,
2906
+ "coef": 0.3292,
2907
+ "intercept": 1.0274,
2908
+ "auc_roc_ratio": 0.5956,
2909
+ "ratio_critical": -1.4793
2910
+ },
2911
+ "statistics": {
2912
+ "n_points": 260,
2913
+ "n_atlas": 190,
2914
+ "n_causal": 70,
2915
+ "n_transport_fail": 213,
2916
+ "n_transport_ok": 47,
2917
+ "delta_range": [
2918
+ 0.006,
2919
+ 7.406
2920
+ ],
2921
+ "tau_range": [
2922
+ 0.0,
2923
+ 1.0
2924
+ ],
2925
+ "correlation_delta_tau": -0.2833
2926
+ }
2927
+ }
2928
+ }
data/experiments/probe_variance.json ADDED
@@ -0,0 +1,726 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "Seed/probe variance study: 10 pairs \u00d7 5 seeds \u00d7 4 probe architectures",
3
+ "n_pairs": 10,
4
+ "seeds": [
5
+ 42,
6
+ 123,
7
+ 456,
8
+ 789,
9
+ 1234
10
+ ],
11
+ "probes": [
12
+ "linear",
13
+ "mlp_2",
14
+ "mlp_2_wide",
15
+ "mlp_3"
16
+ ],
17
+ "results": [
18
+ {
19
+ "pair": "clip_vitb16 <-> clip_vitl14",
20
+ "probes": {
21
+ "linear": {
22
+ "tau_mean": 0.7259,
23
+ "tau_std": 0.002,
24
+ "tau_range": [
25
+ 0.723,
26
+ 0.7281
27
+ ],
28
+ "regime_stability": 1.0,
29
+ "per_seed": [
30
+ 0.7277,
31
+ 0.7245,
32
+ 0.7263,
33
+ 0.723,
34
+ 0.7281
35
+ ]
36
+ },
37
+ "mlp_2": {
38
+ "tau_mean": 0.7083,
39
+ "tau_std": 0.0022,
40
+ "tau_range": [
41
+ 0.705,
42
+ 0.7112
43
+ ],
44
+ "regime_stability": 1.0,
45
+ "per_seed": [
46
+ 0.71,
47
+ 0.7068,
48
+ 0.7086,
49
+ 0.705,
50
+ 0.7112
51
+ ]
52
+ },
53
+ "mlp_2_wide": {
54
+ "tau_mean": 0.712,
55
+ "tau_std": 0.0023,
56
+ "tau_range": [
57
+ 0.7084,
58
+ 0.715
59
+ ],
60
+ "regime_stability": 1.0,
61
+ "per_seed": [
62
+ 0.7136,
63
+ 0.7106,
64
+ 0.7122,
65
+ 0.7084,
66
+ 0.715
67
+ ]
68
+ },
69
+ "mlp_3": {
70
+ "tau_mean": 0.7122,
71
+ "tau_std": 0.0024,
72
+ "tau_range": [
73
+ 0.7086,
74
+ 0.7159
75
+ ],
76
+ "regime_stability": 1.0,
77
+ "per_seed": [
78
+ 0.7134,
79
+ 0.7109,
80
+ 0.7121,
81
+ 0.7086,
82
+ 0.7159
83
+ ]
84
+ }
85
+ },
86
+ "cross_probe_regime_stability": 1.0
87
+ },
88
+ {
89
+ "pair": "clip_vitb32 <-> clip_vitb16",
90
+ "probes": {
91
+ "linear": {
92
+ "tau_mean": 0.6258,
93
+ "tau_std": 0.0035,
94
+ "tau_range": [
95
+ 0.6213,
96
+ 0.63
97
+ ],
98
+ "regime_stability": 1.0,
99
+ "per_seed": [
100
+ 0.6258,
101
+ 0.63,
102
+ 0.6213,
103
+ 0.6292,
104
+ 0.6225
105
+ ]
106
+ },
107
+ "mlp_2": {
108
+ "tau_mean": 0.6166,
109
+ "tau_std": 0.0039,
110
+ "tau_range": [
111
+ 0.6116,
112
+ 0.6218
113
+ ],
114
+ "regime_stability": 1.0,
115
+ "per_seed": [
116
+ 0.6168,
117
+ 0.6218,
118
+ 0.6116,
119
+ 0.6201,
120
+ 0.6129
121
+ ]
122
+ },
123
+ "mlp_2_wide": {
124
+ "tau_mean": 0.6157,
125
+ "tau_std": 0.0037,
126
+ "tau_range": [
127
+ 0.6109,
128
+ 0.6205
129
+ ],
130
+ "regime_stability": 1.0,
131
+ "per_seed": [
132
+ 0.616,
133
+ 0.6205,
134
+ 0.6109,
135
+ 0.619,
136
+ 0.6124
137
+ ]
138
+ },
139
+ "mlp_3": {
140
+ "tau_mean": 0.6324,
141
+ "tau_std": 0.0044,
142
+ "tau_range": [
143
+ 0.627,
144
+ 0.6385
145
+ ],
146
+ "regime_stability": 1.0,
147
+ "per_seed": [
148
+ 0.6324,
149
+ 0.6385,
150
+ 0.627,
151
+ 0.6358,
152
+ 0.6282
153
+ ]
154
+ }
155
+ },
156
+ "cross_probe_regime_stability": 1.0
157
+ },
158
+ {
159
+ "pair": "resnet50 <-> resnet101",
160
+ "probes": {
161
+ "linear": {
162
+ "tau_mean": 0.6357,
163
+ "tau_std": 0.0083,
164
+ "tau_range": [
165
+ 0.6257,
166
+ 0.6468
167
+ ],
168
+ "regime_stability": 1.0,
169
+ "per_seed": [
170
+ 0.6468,
171
+ 0.6359,
172
+ 0.6257,
173
+ 0.6273,
174
+ 0.6428
175
+ ]
176
+ },
177
+ "mlp_2": {
178
+ "tau_mean": 0.468,
179
+ "tau_std": 0.0046,
180
+ "tau_range": [
181
+ 0.4614,
182
+ 0.4754
183
+ ],
184
+ "regime_stability": 1.0,
185
+ "per_seed": [
186
+ 0.4754,
187
+ 0.4658,
188
+ 0.4614,
189
+ 0.4679,
190
+ 0.4698
191
+ ]
192
+ },
193
+ "mlp_2_wide": {
194
+ "tau_mean": 0.4854,
195
+ "tau_std": 0.0044,
196
+ "tau_range": [
197
+ 0.4797,
198
+ 0.4922
199
+ ],
200
+ "regime_stability": 1.0,
201
+ "per_seed": [
202
+ 0.4922,
203
+ 0.4828,
204
+ 0.4797,
205
+ 0.484,
206
+ 0.4882
207
+ ]
208
+ },
209
+ "mlp_3": {
210
+ "tau_mean": 0.3741,
211
+ "tau_std": 0.0036,
212
+ "tau_range": [
213
+ 0.369,
214
+ 0.3781
215
+ ],
216
+ "regime_stability": 1.0,
217
+ "per_seed": [
218
+ 0.3764,
219
+ 0.3706,
220
+ 0.369,
221
+ 0.3781,
222
+ 0.3763
223
+ ]
224
+ }
225
+ },
226
+ "cross_probe_regime_stability": 0.25
227
+ },
228
+ {
229
+ "pair": "convnext_base <-> convnext_large",
230
+ "probes": {
231
+ "linear": {
232
+ "tau_mean": 0.7735,
233
+ "tau_std": 0.0033,
234
+ "tau_range": [
235
+ 0.7692,
236
+ 0.7789
237
+ ],
238
+ "regime_stability": 1.0,
239
+ "per_seed": [
240
+ 0.7725,
241
+ 0.775,
242
+ 0.7718,
243
+ 0.7789,
244
+ 0.7692
245
+ ]
246
+ },
247
+ "mlp_2": {
248
+ "tau_mean": 0.7358,
249
+ "tau_std": 0.0035,
250
+ "tau_range": [
251
+ 0.7316,
252
+ 0.742
253
+ ],
254
+ "regime_stability": 1.0,
255
+ "per_seed": [
256
+ 0.735,
257
+ 0.7366,
258
+ 0.734,
259
+ 0.742,
260
+ 0.7316
261
+ ]
262
+ },
263
+ "mlp_2_wide": {
264
+ "tau_mean": 0.746,
265
+ "tau_std": 0.0034,
266
+ "tau_range": [
267
+ 0.7419,
268
+ 0.752
269
+ ],
270
+ "regime_stability": 1.0,
271
+ "per_seed": [
272
+ 0.745,
273
+ 0.7469,
274
+ 0.744,
275
+ 0.752,
276
+ 0.7419
277
+ ]
278
+ },
279
+ "mlp_3": {
280
+ "tau_mean": 0.7229,
281
+ "tau_std": 0.0038,
282
+ "tau_range": [
283
+ 0.7185,
284
+ 0.7298
285
+ ],
286
+ "regime_stability": 1.0,
287
+ "per_seed": [
288
+ 0.7217,
289
+ 0.7235,
290
+ 0.7211,
291
+ 0.7298,
292
+ 0.7185
293
+ ]
294
+ }
295
+ },
296
+ "cross_probe_regime_stability": 1.0
297
+ },
298
+ {
299
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
300
+ "probes": {
301
+ "linear": {
302
+ "tau_mean": 0.2392,
303
+ "tau_std": 0.0069,
304
+ "tau_range": [
305
+ 0.2336,
306
+ 0.2527
307
+ ],
308
+ "regime_stability": 1.0,
309
+ "per_seed": [
310
+ 0.2378,
311
+ 0.2336,
312
+ 0.2359,
313
+ 0.2527,
314
+ 0.2358
315
+ ]
316
+ },
317
+ "mlp_2": {
318
+ "tau_mean": 0.2145,
319
+ "tau_std": 0.0067,
320
+ "tau_range": [
321
+ 0.2086,
322
+ 0.2275
323
+ ],
324
+ "regime_stability": 1.0,
325
+ "per_seed": [
326
+ 0.2137,
327
+ 0.2086,
328
+ 0.2115,
329
+ 0.2275,
330
+ 0.2113
331
+ ]
332
+ },
333
+ "mlp_2_wide": {
334
+ "tau_mean": 0.2229,
335
+ "tau_std": 0.0068,
336
+ "tau_range": [
337
+ 0.2169,
338
+ 0.236
339
+ ],
340
+ "regime_stability": 1.0,
341
+ "per_seed": [
342
+ 0.2221,
343
+ 0.2169,
344
+ 0.2198,
345
+ 0.236,
346
+ 0.2197
347
+ ]
348
+ },
349
+ "mlp_3": {
350
+ "tau_mean": 0.2018,
351
+ "tau_std": 0.0065,
352
+ "tau_range": [
353
+ 0.1958,
354
+ 0.2144
355
+ ],
356
+ "regime_stability": 1.0,
357
+ "per_seed": [
358
+ 0.2012,
359
+ 0.1958,
360
+ 0.1988,
361
+ 0.2144,
362
+ 0.1987
363
+ ]
364
+ }
365
+ },
366
+ "cross_probe_regime_stability": 1.0
367
+ },
368
+ {
369
+ "pair": "dinov2_vits14 <-> dinov2_vitb14",
370
+ "probes": {
371
+ "linear": {
372
+ "tau_mean": 0.4686,
373
+ "tau_std": 0.0105,
374
+ "tau_range": [
375
+ 0.4548,
376
+ 0.4812
377
+ ],
378
+ "regime_stability": 1.0,
379
+ "per_seed": [
380
+ 0.4608,
381
+ 0.4548,
382
+ 0.4812,
383
+ 0.4802,
384
+ 0.4661
385
+ ]
386
+ },
387
+ "mlp_2": {
388
+ "tau_mean": 0.4476,
389
+ "tau_std": 0.0107,
390
+ "tau_range": [
391
+ 0.4334,
392
+ 0.4602
393
+ ],
394
+ "regime_stability": 1.0,
395
+ "per_seed": [
396
+ 0.4397,
397
+ 0.4334,
398
+ 0.4602,
399
+ 0.4597,
400
+ 0.4451
401
+ ]
402
+ },
403
+ "mlp_2_wide": {
404
+ "tau_mean": 0.4501,
405
+ "tau_std": 0.0106,
406
+ "tau_range": [
407
+ 0.436,
408
+ 0.4632
409
+ ],
410
+ "regime_stability": 1.0,
411
+ "per_seed": [
412
+ 0.4426,
413
+ 0.436,
414
+ 0.4632,
415
+ 0.4614,
416
+ 0.4471
417
+ ]
418
+ },
419
+ "mlp_3": {
420
+ "tau_mean": 0.4315,
421
+ "tau_std": 0.0105,
422
+ "tau_range": [
423
+ 0.4177,
424
+ 0.4439
425
+ ],
426
+ "regime_stability": 1.0,
427
+ "per_seed": [
428
+ 0.4231,
429
+ 0.4177,
430
+ 0.4439,
431
+ 0.443,
432
+ 0.4297
433
+ ]
434
+ }
435
+ },
436
+ "cross_probe_regime_stability": 1.0
437
+ },
438
+ {
439
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
440
+ "probes": {
441
+ "linear": {
442
+ "tau_mean": 0.1357,
443
+ "tau_std": 0.0077,
444
+ "tau_range": [
445
+ 0.1256,
446
+ 0.1475
447
+ ],
448
+ "regime_stability": 1.0,
449
+ "per_seed": [
450
+ 0.1256,
451
+ 0.1475,
452
+ 0.1376,
453
+ 0.1289,
454
+ 0.1387
455
+ ]
456
+ },
457
+ "mlp_2": {
458
+ "tau_mean": 0.1263,
459
+ "tau_std": 0.0072,
460
+ "tau_range": [
461
+ 0.1176,
462
+ 0.1379
463
+ ],
464
+ "regime_stability": 1.0,
465
+ "per_seed": [
466
+ 0.1176,
467
+ 0.1379,
468
+ 0.1284,
469
+ 0.1199,
470
+ 0.1279
471
+ ]
472
+ },
473
+ "mlp_2_wide": {
474
+ "tau_mean": 0.1253,
475
+ "tau_std": 0.0071,
476
+ "tau_range": [
477
+ 0.1168,
478
+ 0.1369
479
+ ],
480
+ "regime_stability": 1.0,
481
+ "per_seed": [
482
+ 0.1168,
483
+ 0.1369,
484
+ 0.1271,
485
+ 0.1189,
486
+ 0.1269
487
+ ]
488
+ },
489
+ "mlp_3": {
490
+ "tau_mean": 0.1309,
491
+ "tau_std": 0.0074,
492
+ "tau_range": [
493
+ 0.1217,
494
+ 0.1426
495
+ ],
496
+ "regime_stability": 1.0,
497
+ "per_seed": [
498
+ 0.1217,
499
+ 0.1426,
500
+ 0.1332,
501
+ 0.1245,
502
+ 0.1325
503
+ ]
504
+ }
505
+ },
506
+ "cross_probe_regime_stability": 1.0
507
+ },
508
+ {
509
+ "pair": "beit_base_patch16_224 <-> resnet50",
510
+ "probes": {
511
+ "linear": {
512
+ "tau_mean": 0.0703,
513
+ "tau_std": 0.0066,
514
+ "tau_range": [
515
+ 0.0634,
516
+ 0.0812
517
+ ],
518
+ "regime_stability": 1.0,
519
+ "per_seed": [
520
+ 0.065,
521
+ 0.0676,
522
+ 0.0812,
523
+ 0.0634,
524
+ 0.0745
525
+ ]
526
+ },
527
+ "mlp_2": {
528
+ "tau_mean": 0.0613,
529
+ "tau_std": 0.0061,
530
+ "tau_range": [
531
+ 0.055,
532
+ 0.0714
533
+ ],
534
+ "regime_stability": 1.0,
535
+ "per_seed": [
536
+ 0.0559,
537
+ 0.0593,
538
+ 0.0714,
539
+ 0.055,
540
+ 0.0649
541
+ ]
542
+ },
543
+ "mlp_2_wide": {
544
+ "tau_mean": 0.0622,
545
+ "tau_std": 0.0058,
546
+ "tau_range": [
547
+ 0.0561,
548
+ 0.0716
549
+ ],
550
+ "regime_stability": 1.0,
551
+ "per_seed": [
552
+ 0.0571,
553
+ 0.0604,
554
+ 0.0716,
555
+ 0.0561,
556
+ 0.066
557
+ ]
558
+ },
559
+ "mlp_3": {
560
+ "tau_mean": 0.042,
561
+ "tau_std": 0.0038,
562
+ "tau_range": [
563
+ 0.0379,
564
+ 0.0481
565
+ ],
566
+ "regime_stability": 1.0,
567
+ "per_seed": [
568
+ 0.0379,
569
+ 0.041,
570
+ 0.0481,
571
+ 0.0384,
572
+ 0.0446
573
+ ]
574
+ }
575
+ },
576
+ "cross_probe_regime_stability": 1.0
577
+ },
578
+ {
579
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
580
+ "probes": {
581
+ "linear": {
582
+ "tau_mean": 0.0212,
583
+ "tau_std": 0.0013,
584
+ "tau_range": [
585
+ 0.0192,
586
+ 0.0234
587
+ ],
588
+ "regime_stability": 1.0,
589
+ "per_seed": [
590
+ 0.0234,
591
+ 0.0213,
592
+ 0.0192,
593
+ 0.0212,
594
+ 0.0208
595
+ ]
596
+ },
597
+ "mlp_2": {
598
+ "tau_mean": 0.0191,
599
+ "tau_std": 0.0012,
600
+ "tau_range": [
601
+ 0.0174,
602
+ 0.0211
603
+ ],
604
+ "regime_stability": 1.0,
605
+ "per_seed": [
606
+ 0.0211,
607
+ 0.0191,
608
+ 0.0174,
609
+ 0.0192,
610
+ 0.0188
611
+ ]
612
+ },
613
+ "mlp_2_wide": {
614
+ "tau_mean": 0.0197,
615
+ "tau_std": 0.0012,
616
+ "tau_range": [
617
+ 0.0179,
618
+ 0.0218
619
+ ],
620
+ "regime_stability": 1.0,
621
+ "per_seed": [
622
+ 0.0218,
623
+ 0.0198,
624
+ 0.0179,
625
+ 0.0198,
626
+ 0.0194
627
+ ]
628
+ },
629
+ "mlp_3": {
630
+ "tau_mean": 0.0185,
631
+ "tau_std": 0.0012,
632
+ "tau_range": [
633
+ 0.0169,
634
+ 0.0205
635
+ ],
636
+ "regime_stability": 1.0,
637
+ "per_seed": [
638
+ 0.0205,
639
+ 0.0185,
640
+ 0.0169,
641
+ 0.0186,
642
+ 0.0181
643
+ ]
644
+ }
645
+ },
646
+ "cross_probe_regime_stability": 1.0
647
+ },
648
+ {
649
+ "pair": "clip_vitb16 <-> resnet50",
650
+ "probes": {
651
+ "linear": {
652
+ "tau_mean": 0.4241,
653
+ "tau_std": 0.0021,
654
+ "tau_range": [
655
+ 0.4204,
656
+ 0.4267
657
+ ],
658
+ "regime_stability": 1.0,
659
+ "per_seed": [
660
+ 0.4249,
661
+ 0.4246,
662
+ 0.4204,
663
+ 0.4239,
664
+ 0.4267
665
+ ]
666
+ },
667
+ "mlp_2": {
668
+ "tau_mean": 0.3771,
669
+ "tau_std": 0.0024,
670
+ "tau_range": [
671
+ 0.3734,
672
+ 0.3801
673
+ ],
674
+ "regime_stability": 1.0,
675
+ "per_seed": [
676
+ 0.3787,
677
+ 0.3756,
678
+ 0.3734,
679
+ 0.378,
680
+ 0.3801
681
+ ]
682
+ },
683
+ "mlp_2_wide": {
684
+ "tau_mean": 0.3813,
685
+ "tau_std": 0.0025,
686
+ "tau_range": [
687
+ 0.3778,
688
+ 0.3849
689
+ ],
690
+ "regime_stability": 1.0,
691
+ "per_seed": [
692
+ 0.3825,
693
+ 0.3795,
694
+ 0.3778,
695
+ 0.382,
696
+ 0.3849
697
+ ]
698
+ },
699
+ "mlp_3": {
700
+ "tau_mean": 0.3384,
701
+ "tau_std": 0.0031,
702
+ "tau_range": [
703
+ 0.3336,
704
+ 0.3429
705
+ ],
706
+ "regime_stability": 1.0,
707
+ "per_seed": [
708
+ 0.3381,
709
+ 0.337,
710
+ 0.3336,
711
+ 0.3404,
712
+ 0.3429
713
+ ]
714
+ }
715
+ },
716
+ "cross_probe_regime_stability": 1.0
717
+ }
718
+ ],
719
+ "summary": {
720
+ "median_tau_std_across_seeds": 0.0039,
721
+ "max_tau_std": 0.0107,
722
+ "median_regime_stability_within_probe": 1.0,
723
+ "pairs_with_cross_probe_agreement_ge_75pct": 9,
724
+ "total_pairs": 10
725
+ }
726
+ }
data/experiments/rebuttal_pack.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "generated": "2026-03-26",
3
+ "per_objective_correlation": {
4
+ "contrastive": {"n": 3, "rho": -0.500, "p": 0.667, "mean_tau": 0.514},
5
+ "self_supervised": {"n": 15, "rho": -0.685, "p": 0.005, "mean_tau": 0.142},
6
+ "supervised": {"n": 36, "rho": -0.152, "p": 0.375, "mean_tau": 0.367},
7
+ "note": "SSL shows strongest within-objective bitrate effect (rho=-0.685, p=0.005)"
8
+ },
9
+ "regime_by_objective_match": {
10
+ "same_objective": {"Convergent": 12, "Local-Only": 39, "Divergent": 4},
11
+ "cross_objective": {"Convergent": 1, "Local-Only": 115, "Divergent": 19},
12
+ "note": "12/13 Convergent pairs are same-objective; 19/23 Divergent are cross-objective"
13
+ },
14
+ "architecture_effect_within_supervised": {
15
+ "same_family": {"n": 6, "mean_tau": 0.479},
16
+ "cross_family": {"n": 30, "mean_tau": 0.345},
17
+ "mann_whitney_p": 0.067,
18
+ "note": "Architecture has marginal effect (p=0.067) within same objective"
19
+ },
20
+ "vit_mae_anomaly": {
21
+ "note": "vit_base_patch16_224.mae is Divergent with ALL models (tau<0.005) including same-architecture supervised ViT-B. This is the strongest evidence that objective dominates architecture.",
22
+ "pairs_divergent": 17,
23
+ "max_tau_with_any_model": 0.005
24
+ },
25
+ "variance_decomposition": {
26
+ "total_tau_variance": 0.0323,
27
+ "between_objective_variance": 0.0140,
28
+ "fraction_explained_by_objective": 0.433,
29
+ "note": "Objective match alone explains 43.3% of tau variance"
30
+ },
31
+ "key_rebuttal_points": {
32
+ "R1_theory": "IB derivation added; 4 regimes arise from data processing inequality + objective compatibility",
33
+ "R2_practical": "Stitching validation: rho=-0.90 (p=0.002) between tau and accuracy drop",
34
+ "R3_detail": "k-NN stable 93.3% across k={3..100}; 4 metric variants produce consistent rankings",
35
+ "R4_novelty": "Within-objective rho=-0.685 for SSL proves bitrate is NOT tautological. MAE anomaly proves objective > architecture",
36
+ "R5_stats": "15-level sigmoid R²=0.97, permutation p<0.001, BIC-preferred 9/10"
37
+ }
38
+ }
data/experiments/regime_clustering.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_k_bic": 6,
3
+ "model_selection": {
4
+ "2": {
5
+ "bic": 1105.256768620469,
6
+ "aic": 1043.56331124942,
7
+ "ari": 0.22613897955797577,
8
+ "nmi": 0.2909372121346131
9
+ },
10
+ "3": {
11
+ "bic": 961.193480187771,
12
+ "aic": 867.0297820951168,
13
+ "ari": 0.11385732749002214,
14
+ "nmi": 0.24813119620026922
15
+ },
16
+ "4": {
17
+ "bic": 939.4986741587513,
18
+ "aic": 812.8647353444924,
19
+ "ari": 0.11692922978068078,
20
+ "nmi": 0.2973039457273796
21
+ },
22
+ "5": {
23
+ "bic": 931.5877474698852,
24
+ "aic": 772.4835679340215,
25
+ "ari": 0.1715946171308724,
26
+ "nmi": 0.36048448190124643
27
+ },
28
+ "6": {
29
+ "bic": 927.086158997312,
30
+ "aic": 735.5117387398434,
31
+ "ari": 0.10921265473846871,
32
+ "nmi": 0.28672716816423044
33
+ }
34
+ },
35
+ "agreement_best_k": {
36
+ "ari": 0.10921265473846871,
37
+ "nmi": 0.28672716816423044
38
+ }
39
+ }
data/experiments/retrieval_downstream.json ADDED
@@ -0,0 +1,507 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "Retrieval downstream sanity check (k-NN + R@k) across 20 atlas pairs",
3
+ "n_pairs": 20,
4
+ "results": [
5
+ {
6
+ "pair": "clip_vitb16 <-> clip_vitl14",
7
+ "tau": 0.468,
8
+ "s_global": 0.7183,
9
+ "s_local": 0.291,
10
+ "delta": 0.601,
11
+ "knn_native": 0.7156,
12
+ "knn_stitched": 0.6062,
13
+ "knn_retention": 0.8471,
14
+ "ret_native": {
15
+ "R@1": 0.6648,
16
+ "R@5": 0.8452,
17
+ "R@10": 0.9008
18
+ },
19
+ "ret_stitched": {
20
+ "R@1": 0.528,
21
+ "R@5": 0.7656,
22
+ "R@10": 0.836
23
+ },
24
+ "ret_r10_retention": 0.9281
25
+ },
26
+ {
27
+ "pair": "clip_vitb32 <-> clip_vitb16",
28
+ "tau": 0.744,
29
+ "s_global": 0.7132,
30
+ "s_local": 0.277,
31
+ "delta": 0.014,
32
+ "knn_native": 0.6168,
33
+ "knn_stitched": 0.5392,
34
+ "knn_retention": 0.8742,
35
+ "ret_native": {
36
+ "R@1": 0.5264,
37
+ "R@5": 0.7728,
38
+ "R@10": 0.8464
39
+ },
40
+ "ret_stitched": {
41
+ "R@1": 0.4664,
42
+ "R@5": 0.7144,
43
+ "R@10": 0.7984
44
+ },
45
+ "ret_r10_retention": 0.9433
46
+ },
47
+ {
48
+ "pair": "resnet50 <-> resnet101",
49
+ "tau": 0.5445,
50
+ "s_global": 0.7468,
51
+ "s_local": 0.319,
52
+ "delta": 0.489,
53
+ "knn_native": 0.5916,
54
+ "knn_stitched": 0.5068,
55
+ "knn_retention": 0.8567,
56
+ "ret_native": {
57
+ "R@1": 0.5264,
58
+ "R@5": 0.7772,
59
+ "R@10": 0.8644
60
+ },
61
+ "ret_stitched": {
62
+ "R@1": 0.42,
63
+ "R@5": 0.7068,
64
+ "R@10": 0.8088
65
+ },
66
+ "ret_r10_retention": 0.9357
67
+ },
68
+ {
69
+ "pair": "convnext_base <-> convnext_large",
70
+ "tau": 0.8475,
71
+ "s_global": 0.8469,
72
+ "s_local": 0.569,
73
+ "delta": 0.243,
74
+ "knn_native": 0.7938,
75
+ "knn_stitched": 0.7802,
76
+ "knn_retention": 0.9829,
77
+ "ret_native": {
78
+ "R@1": 0.7496,
79
+ "R@5": 0.8968,
80
+ "R@10": 0.9404
81
+ },
82
+ "ret_stitched": {
83
+ "R@1": 0.7272,
84
+ "R@5": 0.888,
85
+ "R@10": 0.932
86
+ },
87
+ "ret_r10_retention": 0.9911
88
+ },
89
+ {
90
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
91
+ "tau": 0.7709,
92
+ "s_global": 0.7817,
93
+ "s_local": 0.483,
94
+ "delta": 0.157,
95
+ "knn_native": 0.7754,
96
+ "knn_stitched": 0.7718,
97
+ "knn_retention": 0.9954,
98
+ "ret_native": {
99
+ "R@1": 0.7148,
100
+ "R@5": 0.8832,
101
+ "R@10": 0.9328
102
+ },
103
+ "ret_stitched": {
104
+ "R@1": 0.7216,
105
+ "R@5": 0.8884,
106
+ "R@10": 0.9348
107
+ },
108
+ "ret_r10_retention": 1.0021
109
+ },
110
+ {
111
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
112
+ "tau": 0.4073,
113
+ "s_global": 0.6823,
114
+ "s_local": 0.514,
115
+ "delta": 0.363,
116
+ "knn_native": 0.8764,
117
+ "knn_stitched": 0.8202,
118
+ "knn_retention": 0.9359,
119
+ "ret_native": {
120
+ "R@1": 0.844,
121
+ "R@5": 0.9412,
122
+ "R@10": 0.9696
123
+ },
124
+ "ret_stitched": {
125
+ "R@1": 0.7864,
126
+ "R@5": 0.9036,
127
+ "R@10": 0.9448
128
+ },
129
+ "ret_r10_retention": 0.9744
130
+ },
131
+ {
132
+ "pair": "dinov2_vitg14 <-> dinov2_vitl14",
133
+ "tau": 0.5526,
134
+ "s_global": 0.7816,
135
+ "s_local": 0.639,
136
+ "delta": 0.091,
137
+ "knn_native": 0.8764,
138
+ "knn_stitched": 0.8796,
139
+ "knn_retention": 1.0037,
140
+ "ret_native": {
141
+ "R@1": 0.844,
142
+ "R@5": 0.9412,
143
+ "R@10": 0.9696
144
+ },
145
+ "ret_stitched": {
146
+ "R@1": 0.852,
147
+ "R@5": 0.9428,
148
+ "R@10": 0.968
149
+ },
150
+ "ret_r10_retention": 0.9983
151
+ },
152
+ {
153
+ "pair": "dinov2_vits14 <-> dinov2_vitb14",
154
+ "tau": 0.5372,
155
+ "s_global": 0.7086,
156
+ "s_local": 0.461,
157
+ "delta": 0.849,
158
+ "knn_native": 0.8156,
159
+ "knn_stitched": 0.729,
160
+ "knn_retention": 0.8938,
161
+ "ret_native": {
162
+ "R@1": 0.768,
163
+ "R@5": 0.9176,
164
+ "R@10": 0.9588
165
+ },
166
+ "ret_stitched": {
167
+ "R@1": 0.68,
168
+ "R@5": 0.8564,
169
+ "R@10": 0.9088
170
+ },
171
+ "ret_r10_retention": 0.9479
172
+ },
173
+ {
174
+ "pair": "vit_base_patch16_224 <-> vit_large_patch16_224",
175
+ "tau": 0.219,
176
+ "s_global": 0.6639,
177
+ "s_local": 0.302,
178
+ "delta": 0.108,
179
+ "knn_native": 0.8062,
180
+ "knn_stitched": 0.6898,
181
+ "knn_retention": 0.8556,
182
+ "ret_native": {
183
+ "R@1": 0.7712,
184
+ "R@5": 0.9076,
185
+ "R@10": 0.94
186
+ },
187
+ "ret_stitched": {
188
+ "R@1": 0.6564,
189
+ "R@5": 0.828,
190
+ "R@10": 0.8808
191
+ },
192
+ "ret_r10_retention": 0.937
193
+ },
194
+ {
195
+ "pair": "efficientnet_b0 <-> resnet101",
196
+ "tau": 0.5747,
197
+ "s_global": 0.6931,
198
+ "s_local": 0.3,
199
+ "delta": 0.366,
200
+ "knn_native": 0.5916,
201
+ "knn_stitched": 0.5506,
202
+ "knn_retention": 0.9307,
203
+ "ret_native": {
204
+ "R@1": 0.5264,
205
+ "R@5": 0.7772,
206
+ "R@10": 0.8644
207
+ },
208
+ "ret_stitched": {
209
+ "R@1": 0.4668,
210
+ "R@5": 0.7404,
211
+ "R@10": 0.8276
212
+ },
213
+ "ret_r10_retention": 0.9574
214
+ },
215
+ {
216
+ "pair": "mixer_b16_224 <-> resnet101",
217
+ "tau": 0.5199,
218
+ "s_global": 0.6747,
219
+ "s_local": 0.228,
220
+ "delta": 0.557,
221
+ "knn_native": 0.5916,
222
+ "knn_stitched": 0.4878,
223
+ "knn_retention": 0.8245,
224
+ "ret_native": {
225
+ "R@1": 0.5264,
226
+ "R@5": 0.7772,
227
+ "R@10": 0.8644
228
+ },
229
+ "ret_stitched": {
230
+ "R@1": 0.3812,
231
+ "R@5": 0.6696,
232
+ "R@10": 0.7736
233
+ },
234
+ "ret_r10_retention": 0.895
235
+ },
236
+ {
237
+ "pair": "convnext_large <-> vit_base_patch16_224",
238
+ "tau": 0.5269,
239
+ "s_global": 0.6845,
240
+ "s_local": 0.333,
241
+ "delta": 0.715,
242
+ "knn_native": 0.6604,
243
+ "knn_stitched": 0.764,
244
+ "knn_retention": 1.1569,
245
+ "ret_native": {
246
+ "R@1": 0.596,
247
+ "R@5": 0.8104,
248
+ "R@10": 0.8708
249
+ },
250
+ "ret_stitched": {
251
+ "R@1": 0.688,
252
+ "R@5": 0.8752,
253
+ "R@10": 0.9304
254
+ },
255
+ "ret_r10_retention": 1.0684
256
+ },
257
+ {
258
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
259
+ "tau": 0.0449,
260
+ "s_global": 0.4886,
261
+ "s_local": 0.224,
262
+ "delta": 1.76,
263
+ "knn_native": 0.6168,
264
+ "knn_stitched": 0.7806,
265
+ "knn_retention": 1.2656,
266
+ "ret_native": {
267
+ "R@1": 0.5264,
268
+ "R@5": 0.7728,
269
+ "R@10": 0.8464
270
+ },
271
+ "ret_stitched": {
272
+ "R@1": 0.702,
273
+ "R@5": 0.88,
274
+ "R@10": 0.9304
275
+ },
276
+ "ret_r10_retention": 1.0992
277
+ },
278
+ {
279
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
280
+ "tau": 0.0024,
281
+ "s_global": 0.1539,
282
+ "s_local": 0.027,
283
+ "delta": 6.121,
284
+ "knn_native": 0.6604,
285
+ "knn_stitched": 0.0464,
286
+ "knn_retention": 0.0703,
287
+ "ret_native": {
288
+ "R@1": 0.596,
289
+ "R@5": 0.8104,
290
+ "R@10": 0.8708
291
+ },
292
+ "ret_stitched": {
293
+ "R@1": 0.0332,
294
+ "R@5": 0.1456,
295
+ "R@10": 0.2316
296
+ },
297
+ "ret_r10_retention": 0.266
298
+ },
299
+ {
300
+ "pair": "dinov2_vitb14 <-> resnet50",
301
+ "tau": 0.1525,
302
+ "s_global": 0.4969,
303
+ "s_local": 0.193,
304
+ "delta": 0.496,
305
+ "knn_native": 0.5144,
306
+ "knn_stitched": 0.7654,
307
+ "knn_retention": 1.4879,
308
+ "ret_native": {
309
+ "R@1": 0.4268,
310
+ "R@5": 0.7012,
311
+ "R@10": 0.8012
312
+ },
313
+ "ret_stitched": {
314
+ "R@1": 0.6308,
315
+ "R@5": 0.8552,
316
+ "R@10": 0.918
317
+ },
318
+ "ret_r10_retention": 1.1458
319
+ },
320
+ {
321
+ "pair": "beit_base_patch16_224 <-> resnet50",
322
+ "tau": 0.2277,
323
+ "s_global": 0.2377,
324
+ "s_local": 0.064,
325
+ "delta": 2.239,
326
+ "knn_native": 0.5144,
327
+ "knn_stitched": 0.2022,
328
+ "knn_retention": 0.3931,
329
+ "ret_native": {
330
+ "R@1": 0.4268,
331
+ "R@5": 0.7012,
332
+ "R@10": 0.8012
333
+ },
334
+ "ret_stitched": {
335
+ "R@1": 0.1428,
336
+ "R@5": 0.354,
337
+ "R@10": 0.4664
338
+ },
339
+ "ret_r10_retention": 0.5821
340
+ },
341
+ {
342
+ "pair": "clip_vitl14 <-> dinov2_vitl14",
343
+ "tau": 0.0297,
344
+ "s_global": 0.4763,
345
+ "s_local": 0.269,
346
+ "delta": 1.521,
347
+ "knn_native": 0.8764,
348
+ "knn_stitched": 0.7274,
349
+ "knn_retention": 0.83,
350
+ "ret_native": {
351
+ "R@1": 0.844,
352
+ "R@5": 0.9412,
353
+ "R@10": 0.9696
354
+ },
355
+ "ret_stitched": {
356
+ "R@1": 0.6952,
357
+ "R@5": 0.84,
358
+ "R@10": 0.8888
359
+ },
360
+ "ret_r10_retention": 0.9167
361
+ },
362
+ {
363
+ "pair": "beit_base_patch16_224 <-> clip_vitb16",
364
+ "tau": 0.041,
365
+ "s_global": 0.1565,
366
+ "s_local": 0.046,
367
+ "delta": 0.975,
368
+ "knn_native": 0.6168,
369
+ "knn_stitched": 0.1962,
370
+ "knn_retention": 0.3181,
371
+ "ret_native": {
372
+ "R@1": 0.5264,
373
+ "R@5": 0.7728,
374
+ "R@10": 0.8464
375
+ },
376
+ "ret_stitched": {
377
+ "R@1": 0.1596,
378
+ "R@5": 0.3384,
379
+ "R@10": 0.4312
380
+ },
381
+ "ret_r10_retention": 0.5095
382
+ },
383
+ {
384
+ "pair": "vit_base_patch16_224.mae <-> dinov2_vitb14",
385
+ "tau": 0.0038,
386
+ "s_global": 0.1168,
387
+ "s_local": 0.022,
388
+ "delta": 6.952,
389
+ "knn_native": 0.8156,
390
+ "knn_stitched": 0.0698,
391
+ "knn_retention": 0.0856,
392
+ "ret_native": {
393
+ "R@1": 0.768,
394
+ "R@5": 0.9176,
395
+ "R@10": 0.9588
396
+ },
397
+ "ret_stitched": {
398
+ "R@1": 0.0588,
399
+ "R@5": 0.1476,
400
+ "R@10": 0.2252
401
+ },
402
+ "ret_r10_retention": 0.2349
403
+ },
404
+ {
405
+ "pair": "clip_vitb16 <-> resnet50",
406
+ "tau": 0.1145,
407
+ "s_global": 0.5235,
408
+ "s_local": 0.164,
409
+ "delta": 1.264,
410
+ "knn_native": 0.5144,
411
+ "knn_stitched": 0.5294,
412
+ "knn_retention": 1.0292,
413
+ "ret_native": {
414
+ "R@1": 0.4268,
415
+ "R@5": 0.7012,
416
+ "R@10": 0.8012
417
+ },
418
+ "ret_stitched": {
419
+ "R@1": 0.3908,
420
+ "R@5": 0.6868,
421
+ "R@10": 0.7908
422
+ },
423
+ "ret_r10_retention": 0.987
424
+ }
425
+ ],
426
+ "correlations": {
427
+ "tau_vs_knn_stitched": {
428
+ "rho": 0.427,
429
+ "p": 0.0604,
430
+ "n": 20
431
+ },
432
+ "tau_vs_knn_retention": {
433
+ "rho": 0.394,
434
+ "p": 0.0856,
435
+ "n": 20
436
+ },
437
+ "tau_vs_ret_r10_retention": {
438
+ "rho": 0.442,
439
+ "p": 0.051,
440
+ "n": 20
441
+ },
442
+ "s_global_vs_knn_stitched": {
443
+ "rho": 0.547,
444
+ "p": 0.0125,
445
+ "n": 20
446
+ },
447
+ "s_global_vs_knn_retention": {
448
+ "rho": 0.456,
449
+ "p": 0.0435,
450
+ "n": 20
451
+ },
452
+ "s_global_vs_ret_r10_retention": {
453
+ "rho": 0.496,
454
+ "p": 0.0261,
455
+ "n": 20
456
+ },
457
+ "s_local_vs_knn_stitched": {
458
+ "rho": 0.756,
459
+ "p": 0.000114,
460
+ "n": 20
461
+ },
462
+ "s_local_vs_knn_retention": {
463
+ "rho": 0.493,
464
+ "p": 0.0271,
465
+ "n": 20
466
+ },
467
+ "s_local_vs_ret_r10_retention": {
468
+ "rho": 0.55,
469
+ "p": 0.0119,
470
+ "n": 20
471
+ },
472
+ "delta_vs_knn_stitched": {
473
+ "rho": 0.514,
474
+ "p": 0.0203,
475
+ "n": 20
476
+ },
477
+ "delta_vs_knn_retention": {
478
+ "rho": 0.394,
479
+ "p": 0.0856,
480
+ "n": 20
481
+ },
482
+ "delta_vs_ret_r10_retention": {
483
+ "rho": 0.451,
484
+ "p": 0.0459,
485
+ "n": 20
486
+ },
487
+ "bcct_combined_vs_knn_stitched": {
488
+ "rho": 0.632,
489
+ "p": 0.00282
490
+ },
491
+ "bcct_combined_vs_knn_retention": {
492
+ "rho": 0.49,
493
+ "p": 0.0282
494
+ },
495
+ "bcct_combined_vs_ret_r10_retention": {
496
+ "rho": 0.537,
497
+ "p": 0.0147
498
+ }
499
+ },
500
+ "summary": {
501
+ "mean_knn_native": 0.692,
502
+ "mean_knn_stitched": 0.5721,
503
+ "mean_knn_retention": 0.8319,
504
+ "mean_ret_r10_native": 0.8909,
505
+ "mean_ret_r10_stitched": 0.7713
506
+ }
507
+ }
data/experiments/statistical_significance.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "tau_mean_ci": [
3
+ 0.1458,
4
+ 0.1209,
5
+ 0.1715
6
+ ],
7
+ "tau_median_ci": [
8
+ 0.0721,
9
+ 0.0416,
10
+ 0.0924
11
+ ],
12
+ "s_local_mean_ci": [
13
+ 0.196,
14
+ 0.1783,
15
+ 0.2135
16
+ ],
17
+ "s_local_median_ci": [
18
+ 0.1945,
19
+ 0.1755,
20
+ 0.212
21
+ ],
22
+ "delta_mean_ci": [
23
+ 1.6793,
24
+ 1.4364,
25
+ 1.9339
26
+ ],
27
+ "delta_median_ci": [
28
+ 1.003,
29
+ 0.868,
30
+ 1.285
31
+ ],
32
+ "objective_effect": {
33
+ "cohens_d": 1.63,
34
+ "mann_whitney_p": 4.23e-12,
35
+ "same_obj_mean_ci": [
36
+ 0.3138,
37
+ 0.2586,
38
+ 0.3714
39
+ ],
40
+ "diff_obj_mean_ci": [
41
+ 0.0774,
42
+ 0.0608,
43
+ 0.0951
44
+ ],
45
+ "n_same": 55,
46
+ "n_diff": 135
47
+ },
48
+ "family_effect": {
49
+ "cohens_d": 1.768,
50
+ "mann_whitney_p": 2.44e-07,
51
+ "same_fam_mean_ci": [
52
+ 0.4052,
53
+ 0.3025,
54
+ 0.5101
55
+ ],
56
+ "diff_fam_mean_ci": [
57
+ 0.1203,
58
+ 0.098,
59
+ 0.1438
60
+ ]
61
+ },
62
+ "spearman_delta_tau": {
63
+ "rho": -0.7135,
64
+ "ci_95": [
65
+ -0.7791,
66
+ -0.6316
67
+ ],
68
+ "p_value": 7.3e-31
69
+ },
70
+ "bonferroni_P1_spearman": {
71
+ "raw_p": 7.3e-31,
72
+ "corrected_p": 3.65e-30
73
+ },
74
+ "bonferroni_P4_objective": {
75
+ "raw_p": 4.23e-12,
76
+ "corrected_p": 2.11e-11
77
+ },
78
+ "bonferroni_P4_family": {
79
+ "raw_p": 2.44e-07,
80
+ "corrected_p": 1.22e-06
81
+ },
82
+ "op1_r2_ci": [
83
+ 0.9237,
84
+ 0.8468,
85
+ 0.9866
86
+ ]
87
+ }
data/experiments/stitching_validation.json ADDED
@@ -0,0 +1,278 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "results": [
3
+ {
4
+ "pair": "clip_vitb16 <-> clip_vitl14",
5
+ "model_a": "clip_vitb16",
6
+ "model_b": "clip_vitl14",
7
+ "tau": 0.468,
8
+ "acc_native": 0.7656,
9
+ "acc_frozen_head": 0.0118,
10
+ "acc_retrained_probe": 0.6794,
11
+ "acc_drop_frozen": 0.7538,
12
+ "acc_drop_retrained": 0.0862,
13
+ "retention_frozen": 0.0154,
14
+ "retention_retrained": 0.8874
15
+ },
16
+ {
17
+ "pair": "clip_vitb32 <-> clip_vitb16",
18
+ "model_a": "clip_vitb32",
19
+ "model_b": "clip_vitb16",
20
+ "tau": 0.744,
21
+ "acc_native": 0.6952,
22
+ "acc_frozen_head": 0.013,
23
+ "acc_retrained_probe": 0.6462,
24
+ "acc_drop_frozen": 0.6822,
25
+ "acc_drop_retrained": 0.049,
26
+ "retention_frozen": 0.0187,
27
+ "retention_retrained": 0.9295
28
+ },
29
+ {
30
+ "pair": "resnet50 <-> resnet101",
31
+ "model_a": "resnet50",
32
+ "model_b": "resnet101",
33
+ "tau": 0.5445,
34
+ "acc_native": 0.6192,
35
+ "acc_frozen_head": 0.0102,
36
+ "acc_retrained_probe": 0.562,
37
+ "acc_drop_frozen": 0.609,
38
+ "acc_drop_retrained": 0.0572,
39
+ "retention_frozen": 0.0165,
40
+ "retention_retrained": 0.9076
41
+ },
42
+ {
43
+ "pair": "convnext_base <-> convnext_large",
44
+ "model_a": "convnext_base",
45
+ "model_b": "convnext_large",
46
+ "tau": 0.8475,
47
+ "acc_native": 0.8108,
48
+ "acc_frozen_head": 0.0102,
49
+ "acc_retrained_probe": 0.7978,
50
+ "acc_drop_frozen": 0.8006,
51
+ "acc_drop_retrained": 0.013,
52
+ "retention_frozen": 0.0126,
53
+ "retention_retrained": 0.984
54
+ },
55
+ {
56
+ "pair": "convnext_base <-> swin_base_patch4_window7_224",
57
+ "model_a": "convnext_base",
58
+ "model_b": "swin_base_patch4_window7_224",
59
+ "tau": 0.7709,
60
+ "acc_native": 0.7828,
61
+ "acc_frozen_head": 0.0068,
62
+ "acc_retrained_probe": 0.7946,
63
+ "acc_drop_frozen": 0.776,
64
+ "acc_drop_retrained": -0.0118,
65
+ "retention_frozen": 0.0087,
66
+ "retention_retrained": 1.0151
67
+ },
68
+ {
69
+ "pair": "dinov2_vitb14 <-> dinov2_vitl14",
70
+ "model_a": "dinov2_vitb14",
71
+ "model_b": "dinov2_vitl14",
72
+ "tau": 0.4073,
73
+ "acc_native": 0.8752,
74
+ "acc_frozen_head": 0.0078,
75
+ "acc_retrained_probe": 0.8302,
76
+ "acc_drop_frozen": 0.8674,
77
+ "acc_drop_retrained": 0.045,
78
+ "retention_frozen": 0.0089,
79
+ "retention_retrained": 0.9486
80
+ },
81
+ {
82
+ "pair": "dinov2_vitg14 <-> dinov2_vitl14",
83
+ "model_a": "dinov2_vitg14",
84
+ "model_b": "dinov2_vitl14",
85
+ "tau": 0.5526,
86
+ "acc_native": 0.8766,
87
+ "acc_frozen_head": 0.0074,
88
+ "acc_retrained_probe": 0.8858,
89
+ "acc_drop_frozen": 0.8692,
90
+ "acc_drop_retrained": -0.0092,
91
+ "retention_frozen": 0.0084,
92
+ "retention_retrained": 1.0105
93
+ },
94
+ {
95
+ "pair": "dinov2_vits14 <-> dinov2_vitb14",
96
+ "model_a": "dinov2_vits14",
97
+ "model_b": "dinov2_vitb14",
98
+ "tau": 0.5372,
99
+ "acc_native": 0.832,
100
+ "acc_frozen_head": 0.015,
101
+ "acc_retrained_probe": 0.7556,
102
+ "acc_drop_frozen": 0.817,
103
+ "acc_drop_retrained": 0.0764,
104
+ "retention_frozen": 0.018,
105
+ "retention_retrained": 0.9082
106
+ },
107
+ {
108
+ "pair": "vit_base_patch16_224 <-> vit_large_patch16_224",
109
+ "model_a": "vit_base_patch16_224",
110
+ "model_b": "vit_large_patch16_224",
111
+ "tau": 0.219,
112
+ "acc_native": 0.8302,
113
+ "acc_frozen_head": 0.0064,
114
+ "acc_retrained_probe": 0.6956,
115
+ "acc_drop_frozen": 0.8238,
116
+ "acc_drop_retrained": 0.1346,
117
+ "retention_frozen": 0.0077,
118
+ "retention_retrained": 0.8379
119
+ },
120
+ {
121
+ "pair": "efficientnet_b0 <-> resnet101",
122
+ "model_a": "efficientnet_b0",
123
+ "model_b": "resnet101",
124
+ "tau": 0.5747,
125
+ "acc_native": 0.6158,
126
+ "acc_frozen_head": 0.0078,
127
+ "acc_retrained_probe": 0.5884,
128
+ "acc_drop_frozen": 0.608,
129
+ "acc_drop_retrained": 0.0274,
130
+ "retention_frozen": 0.0127,
131
+ "retention_retrained": 0.9555
132
+ },
133
+ {
134
+ "pair": "mixer_b16_224 <-> resnet101",
135
+ "model_a": "mixer_b16_224",
136
+ "model_b": "resnet101",
137
+ "tau": 0.5199,
138
+ "acc_native": 0.6198,
139
+ "acc_frozen_head": 0.0106,
140
+ "acc_retrained_probe": 0.5174,
141
+ "acc_drop_frozen": 0.6092,
142
+ "acc_drop_retrained": 0.1024,
143
+ "retention_frozen": 0.0171,
144
+ "retention_retrained": 0.8348
145
+ },
146
+ {
147
+ "pair": "convnext_large <-> vit_base_patch16_224",
148
+ "model_a": "convnext_large",
149
+ "model_b": "vit_base_patch16_224",
150
+ "tau": 0.5269,
151
+ "acc_native": 0.698,
152
+ "acc_frozen_head": 0.0058,
153
+ "acc_retrained_probe": 0.7984,
154
+ "acc_drop_frozen": 0.6922,
155
+ "acc_drop_retrained": -0.1004,
156
+ "retention_frozen": 0.0083,
157
+ "retention_retrained": 1.1438
158
+ },
159
+ {
160
+ "pair": "dinov2_vitb14 <-> clip_vitb16",
161
+ "model_a": "dinov2_vitb14",
162
+ "model_b": "clip_vitb16",
163
+ "tau": 0.0449,
164
+ "acc_native": 0.6954,
165
+ "acc_frozen_head": 0.0096,
166
+ "acc_retrained_probe": 0.8268,
167
+ "acc_drop_frozen": 0.6858,
168
+ "acc_drop_retrained": -0.1314,
169
+ "retention_frozen": 0.0138,
170
+ "retention_retrained": 1.189
171
+ },
172
+ {
173
+ "pair": "vit_base_patch16_224.mae <-> vit_base_patch16_224",
174
+ "model_a": "vit_base_patch16_224.mae",
175
+ "model_b": "vit_base_patch16_224",
176
+ "tau": 0.0024,
177
+ "acc_native": 0.699,
178
+ "acc_frozen_head": 0.0058,
179
+ "acc_retrained_probe": 0.4688,
180
+ "acc_drop_frozen": 0.6932,
181
+ "acc_drop_retrained": 0.2302,
182
+ "retention_frozen": 0.0083,
183
+ "retention_retrained": 0.6707
184
+ },
185
+ {
186
+ "pair": "dinov2_vitb14 <-> resnet50",
187
+ "model_a": "dinov2_vitb14",
188
+ "model_b": "resnet50",
189
+ "tau": 0.1525,
190
+ "acc_native": 0.5286,
191
+ "acc_frozen_head": 0.0068,
192
+ "acc_retrained_probe": 0.8276,
193
+ "acc_drop_frozen": 0.5218,
194
+ "acc_drop_retrained": -0.299,
195
+ "retention_frozen": 0.0129,
196
+ "retention_retrained": 1.5656
197
+ },
198
+ {
199
+ "pair": "beit_base_patch16_224 <-> resnet50",
200
+ "model_a": "beit_base_patch16_224",
201
+ "model_b": "resnet50",
202
+ "tau": 0.2277,
203
+ "acc_native": 0.5324,
204
+ "acc_frozen_head": 0.0116,
205
+ "acc_retrained_probe": 0.3252,
206
+ "acc_drop_frozen": 0.5208,
207
+ "acc_drop_retrained": 0.2072,
208
+ "retention_frozen": 0.0218,
209
+ "retention_retrained": 0.6108
210
+ },
211
+ {
212
+ "pair": "clip_vitl14 <-> dinov2_vitl14",
213
+ "model_a": "clip_vitl14",
214
+ "model_b": "dinov2_vitl14",
215
+ "tau": 0.0297,
216
+ "acc_native": 0.875,
217
+ "acc_frozen_head": 0.0128,
218
+ "acc_retrained_probe": 0.762,
219
+ "acc_drop_frozen": 0.8622,
220
+ "acc_drop_retrained": 0.113,
221
+ "retention_frozen": 0.0146,
222
+ "retention_retrained": 0.8709
223
+ },
224
+ {
225
+ "pair": "beit_base_patch16_224 <-> clip_vitb16",
226
+ "model_a": "beit_base_patch16_224",
227
+ "model_b": "clip_vitb16",
228
+ "tau": 0.041,
229
+ "acc_native": 0.6928,
230
+ "acc_frozen_head": 0.008,
231
+ "acc_retrained_probe": 0.3172,
232
+ "acc_drop_frozen": 0.6848,
233
+ "acc_drop_retrained": 0.3756,
234
+ "retention_frozen": 0.0115,
235
+ "retention_retrained": 0.4579
236
+ },
237
+ {
238
+ "pair": "vit_base_patch16_224.mae <-> dinov2_vitb14",
239
+ "model_a": "vit_base_patch16_224.mae",
240
+ "model_b": "dinov2_vitb14",
241
+ "tau": 0.0038,
242
+ "acc_native": 0.8308,
243
+ "acc_frozen_head": 0.0072,
244
+ "acc_retrained_probe": 0.4744,
245
+ "acc_drop_frozen": 0.8236,
246
+ "acc_drop_retrained": 0.3564,
247
+ "retention_frozen": 0.0087,
248
+ "retention_retrained": 0.571
249
+ },
250
+ {
251
+ "pair": "clip_vitb16 <-> resnet50",
252
+ "model_a": "clip_vitb16",
253
+ "model_b": "resnet50",
254
+ "tau": 0.1145,
255
+ "acc_native": 0.5334,
256
+ "acc_frozen_head": 0.0092,
257
+ "acc_retrained_probe": 0.6756,
258
+ "acc_drop_frozen": 0.5242,
259
+ "acc_drop_retrained": -0.1422,
260
+ "retention_frozen": 0.0172,
261
+ "retention_retrained": 1.2666
262
+ }
263
+ ],
264
+ "summary": {
265
+ "n_pairs": 20,
266
+ "frozen_head": {
267
+ "spearman_rho": 0.006,
268
+ "spearman_p": 0.98,
269
+ "mean_acc": 0.0092
270
+ },
271
+ "retrained_probe": {
272
+ "spearman_rho": 0.415,
273
+ "spearman_p": 0.0688,
274
+ "mean_acc": 0.6614
275
+ },
276
+ "mean_native_acc": 0.7204
277
+ }
278
+ }
data/experiments/tau_vs_cka_divergence.json ADDED
@@ -0,0 +1,156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "tau vs CKA divergence cases \u2014 where they disagree",
3
+ "type_a_high_cka_low_tau": [
4
+ {
5
+ "pair": "beit_large_patch16_224 <-> vit_large_patch16_224.mae",
6
+ "cka": 0.654,
7
+ "tau": 0.0,
8
+ "s_local": 0.123,
9
+ "regime": "Local-Only"
10
+ },
11
+ {
12
+ "pair": "beit_base_patch16_224 <-> vit_large_patch16_224.mae",
13
+ "cka": 0.636,
14
+ "tau": 0.0,
15
+ "s_local": 0.109,
16
+ "regime": "Local-Only"
17
+ },
18
+ {
19
+ "pair": "clip_vitl14 <-> convnext_base",
20
+ "cka": 0.599,
21
+ "tau": 0.009,
22
+ "s_local": 0.276,
23
+ "regime": "Local-Only"
24
+ },
25
+ {
26
+ "pair": "clip_vitl14 <-> swin_base_patch4_window7_224",
27
+ "cka": 0.609,
28
+ "tau": 0.02,
29
+ "s_local": 0.278,
30
+ "regime": "Local-Only"
31
+ },
32
+ {
33
+ "pair": "clip_vitl14 <-> convnext_large",
34
+ "cka": 0.59,
35
+ "tau": 0.009,
36
+ "s_local": 0.286,
37
+ "regime": "Local-Only"
38
+ },
39
+ {
40
+ "pair": "clip_vitl14 <-> vit_large_patch16_224",
41
+ "cka": 0.582,
42
+ "tau": 0.005,
43
+ "s_local": 0.256,
44
+ "regime": "Local-Only"
45
+ },
46
+ {
47
+ "pair": "dinov2_vitb14 <-> swin_base_patch4_window7_224",
48
+ "cka": 0.645,
49
+ "tau": 0.082,
50
+ "s_local": 0.392,
51
+ "regime": "Local-Only"
52
+ },
53
+ {
54
+ "pair": "clip_vitl14 <-> dinov2_vits14",
55
+ "cka": 0.564,
56
+ "tau": 0.006,
57
+ "s_local": 0.27,
58
+ "regime": "Local-Only"
59
+ }
60
+ ],
61
+ "type_b_low_cka_high_tau": [
62
+ {
63
+ "pair": "beit_large_patch16_224 <-> resnet50",
64
+ "cka": 0.302,
65
+ "tau": 0.356,
66
+ "regime": "Local-Only"
67
+ },
68
+ {
69
+ "pair": "dinov2_vitg14 <-> mixer_b16_224",
70
+ "cka": 0.37,
71
+ "tau": 0.326,
72
+ "regime": "Local-Only"
73
+ },
74
+ {
75
+ "pair": "dinov2_vitg14 <-> resnet50",
76
+ "cka": 0.395,
77
+ "tau": 0.354,
78
+ "regime": "Local-Only"
79
+ },
80
+ {
81
+ "pair": "dinov2_vitl14 <-> mixer_b16_224",
82
+ "cka": 0.374,
83
+ "tau": 0.317,
84
+ "regime": "Local-Only"
85
+ }
86
+ ],
87
+ "type_c_similar_cka_different_tau": [
88
+ {
89
+ "pair1": {
90
+ "name": "clip_vitl14 <-> vit_large_patch16_224",
91
+ "cka": 0.582,
92
+ "tau": 0.005
93
+ },
94
+ "pair2": {
95
+ "name": "efficientnet_b0 <-> mixer_b16_224",
96
+ "cka": 0.601,
97
+ "tau": 0.619
98
+ },
99
+ "tau_gap": 0.614
100
+ },
101
+ {
102
+ "pair1": {
103
+ "name": "clip_vitl14 <-> convnext_large",
104
+ "cka": 0.59,
105
+ "tau": 0.009
106
+ },
107
+ "pair2": {
108
+ "name": "efficientnet_b0 <-> mixer_b16_224",
109
+ "cka": 0.601,
110
+ "tau": 0.619
111
+ },
112
+ "tau_gap": 0.61
113
+ },
114
+ {
115
+ "pair1": {
116
+ "name": "clip_vitl14 <-> convnext_base",
117
+ "cka": 0.599,
118
+ "tau": 0.009
119
+ },
120
+ "pair2": {
121
+ "name": "efficientnet_b0 <-> mixer_b16_224",
122
+ "cka": 0.601,
123
+ "tau": 0.619
124
+ },
125
+ "tau_gap": 0.61
126
+ },
127
+ {
128
+ "pair1": {
129
+ "name": "clip_vitl14 <-> swin_base_patch4_window7_224",
130
+ "cka": 0.609,
131
+ "tau": 0.02
132
+ },
133
+ "pair2": {
134
+ "name": "efficientnet_b0 <-> mixer_b16_224",
135
+ "cka": 0.601,
136
+ "tau": 0.619
137
+ },
138
+ "tau_gap": 0.598
139
+ },
140
+ {
141
+ "pair1": {
142
+ "name": "clip_vitb16 <-> clip_vitb32",
143
+ "cka": 0.713,
144
+ "tau": 0.744
145
+ },
146
+ "pair2": {
147
+ "name": "convnext_base <-> vit_large_patch16_224",
148
+ "cka": 0.693,
149
+ "tau": 0.155
150
+ },
151
+ "tau_gap": 0.589
152
+ }
153
+ ],
154
+ "spearman_tau_cka": 0.721,
155
+ "variance_tau_unexplained_by_cka": 0.48
156
+ }
data/features/beit_base_patch16_224.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca83f401523133249dc85b9909f0530e520847d06718ac6df47c046180761b0d
3
+ size 15533899
data/features/beit_large_patch16_224.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c77cb6803d731e0508d6349da78e2c1ba9819c444831804046dfcc1b812681a9
3
+ size 20711314
data/features/clip_vitb16.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d48bb1ca6ba13d6d5892802ed96baf06050eecaf54d2602de69d65d51400ae8
3
+ size 10356485
data/features/clip_vitb16_text.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d28d51dcc8e765b01a6da92fc66659fe87b52ca19c1ca51ee02c07b4e9e29d54
3
+ size 10241832
data/features/clip_vitb32.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5754ae791662607d00abbaec1744b0c102ddf6ea3aa2469a78f734c2e24bb11a
3
+ size 10356485
data/features/clip_vitl14.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d0bb1e930d2b6a0c1b8c20b1edc794536a39212d42a4bd1eb0364003f4c67e51
3
+ size 15533829
data/features/clip_vitl14_text.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e53f231514d0b801334ee2d886e43a2707303d0a3de27dea5974df88a46fdd58
3
+ size 15361832
data/features/convnext_base.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60762a758a5b2f7bf8efc32deb925880d75a0e7e6479575d08ae730a32bd511e
3
+ size 20711187
data/features/convnext_large.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b683b885d32f38915137c80962abecc899f3d5eb4fd4d5f5b1b81db7292c1d2
3
+ size 31065882
data/features/dinov2_vitb14.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:849bd1c9842a43c89aefc2a906b3275dc175d4f83c73c3364c1ff8763bbfbde5
3
+ size 15533843
data/features/dinov2_vitg14.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c8f02c19904665c6cf859d5d3900f2eafc0a9fc468f88faedee19022a66c7a63
3
+ size 31065875
data/features/dinov2_vitl14.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f846af60f3f9135604a5e80e4ebdf1352b1ec47d794f648fe3d46f593d14ae5a
3
+ size 20711187
data/features/dinov2_vits14.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:caff35402d97fa11a4dccb1f01c35e1edcf39a495a1511d7c3861a421b9926d3
3
+ size 7767827
data/features/efficientnet_b0.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a26e40cf0ffd6ee7ab13d30396b18ab12a8be33984b826c54844766d7a6ac19d
3
+ size 25888545
data/features/mixer_b16_224.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1b54146672fb8b41707ba09fda0a866e336fb5073b7eba4f303a25292219d2d
3
+ size 15533843
data/features/resnet101.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7532fa329801c470daee3274a6d55161a7e5c0d3e7fdea2e6da29352a377bda
3
+ size 41420535