type stringclasses 2
values | timestamp int64 1,786B 1,786B | message dict |
|---|---|---|
user | 1,785,673,591,145 | {
"role": "user",
"content": "# First, read the challenge instructions:\ncurl -sL https://huggingface.co/datasets/ICML-2026-agent-repro/challenge/resolve/main/README.md\n\nYour job is to reproduce the ICML 2026 paper #4580 — Possibilistic Predictive Uncertainty for Deep Learning (OpenReview id: NhL0mBNFk4). Here ar... |
user | 1,785,675,245,503 | {
"role": "user",
"content": "# First, read the challenge instructions:\ncurl -sL https://huggingface.co/datasets/ICML-2026-agent-repro/challenge/resolve/main/README.md\n\nYour job is to reproduce the ICML 2026 paper #4580 — Possibilistic Predictive Uncertainty for Deep Learning (OpenReview id: NhL0mBNFk4). Here ar... |
assistant | 1,785,675,245,524 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"curl -sL https://huggingface.co/datasets/ICML-2026-agent-repro/challenge/resolve/main/README.md\"}, \"output\": \"---\\nlicense: mit\\ntags:\\n - trackio\\n - open-reproductions\\n - icml2026\\n---\\n\\n# Reprodu... |
assistant | 1,785,675,249,404 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"nvidia-smi; python3 --version; which uv pip conda 2>/dev/null; echo \\\"---\\\"; gh auth status 2>&1 | head -5; echo \\\"---\\\"; which trackio hf 2>/dev/null; trackio --version 2>/dev/null; hf --version 2>/dev/null... |
assistant | 1,785,675,254,160 | {
"role": "assistant",
"content": "Two T4s confirmed. Paper found: arXiv 2605.00600. Let me read the paper and find the official repo.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"mkdir -p /tmp/opencode/paper && curl -sL \\\"https://arxiv.org/html/2605.00600v3\\\" -o /tmp/opencode/paper/paper.... |
assistant | 1,785,675,258,282 | {
"role": "assistant",
"content": "Official repo found: `MaxwellYaoNi/DAPPr`. Let me read the paper and clone the repo.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"python3 -c \\\"\\nimport re, html\\nt = open('/tmp/opencode/paper/paper.html').read()\\nt = re.sub(r'<script.*?</script>', ' ', t... |
assistant | 1,785,675,262,011 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"grep -n \\\"Abstract\\\" -A 30 /tmp/opencode/paper/paper.txt | head -40; echo ===; grep -n \\\"Table 1\\\\|Table 3\\\\|Table 5\\\\|Figure 5\\\\|Proposition 1\\\" /tmp/opencode/paper/paper.txt | head -30\"}, \"output... |
assistant | 1,785,675,264,869 | {
"role": "assistant",
"content": "Now let me read the paper's experiments (Tables 1/3/5, Figure 5) and the repo code.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '290,340p' /tmp/opencode/paper/paper.txt; echo \\\"=====TABLE3=====\\\"; sed -n '770,830p' /tmp/opencode/paper/paper.txt\"}... |
assistant | 1,785,675,268,284 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '313,420p' /tmp/opencode/paper/paper.txt\"}, \"output\": \" Table 1: AUPR ( \\u2191 \\\\uparrow ) on CIFAR-10/100. Conf.: confidence estimation via aleatoric uncertainty. OOD detection using epistemic uncerta... |
assistant | 1,785,675,273,318 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '420,540p' /tmp/opencode/paper/paper.txt\"}, \"output\": \"\\n 54.69 \\u00b11.1 {}_{\\\\text{\\\\textpm 1.1}} \\n\\n 85.56 \\u00b10.7 {}_{\\\\text{\\\\textpm 0.7}} \\n\\n 54.92 \\u00b12.1 {}_{\\\\text{\\\\tex... |
assistant | 1,785,675,277,618 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '540,640p' /tmp/opencode/paper/paper.txt\"}, \"output\": \"\\n 99.10 \\u00b10.0 {}_{\\\\text{\\\\textpm 0.0}} \\n\\n 91.20 \\u00b11.3 {}_{\\\\text{\\\\textpm 1.3}} \\n\\n 88.37 \\u00b10.3 {}_{\\\\text{\\\\tex... |
assistant | 1,785,675,279,988 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '830,1000p' /tmp/opencode/paper/paper.txt\"}, \"output\": \" 82.29 \\u00b11.3 {}_{\\\\text{\\\\textpm 1.3}} \\n\\n 66.16 \\u00b11.9 {}_{\\\\text{\\\\textpm 1.9}} \\u2004 \\u00a0 \\n\\n \\u00a0 \\u2004MC Drop ... |
assistant | 1,785,675,283,989 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '1000,1100p' /tmp/opencode/paper/paper.txt\"}, \"output\": \" 53.06 \\u00b11.0 {}_{\\\\text{\\\\textpm 1.0}} \\n\\n 83.97 \\u00b10.2 {}_{\\\\text{\\\\textpm 0.2}} \\n\\n 93.87 \\u00b10.2 {}_{\\\\text{\\\\text... |
assistant | 1,785,675,286,143 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '1100,1160p' /tmp/opencode/paper/paper.txt; echo \\\"====TABLE5-DAPPr=====\\\"; grep -n \\\"DAPPr\\\" /tmp/opencode/paper/paper.txt | grep -v \\\"99\\\\|91\\\\|70\\\\|55\\\" | head; sed -n '1470,1560p' /tmp/o... |
assistant | 1,785,675,288,868 | {
"role": "assistant",
"content": "Table numbers confirmed for Claims 2–4. Let me see Table 5's IB-EDL row, Figure 5 details, and appendix C hyperparameters.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '1410,1470p' /tmp/opencode/paper/paper.txt\"}, \"output\": \" \\u00a0 Ensemble \\u00... |
assistant | 1,785,675,306,302 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '2531,2620p' /tmp/opencode/paper/paper.txt\"}, \"output\": \" CIFAR-100 (Krizhevsky et al. , 2009 ) contains 50K training and 10K test images across 100 classes, split 95/5 for training and validation. SVHN a... |
assistant | 1,785,675,308,678 | {
"role": "assistant",
"content": "Now let me examine the repo code in detail.\n[tool:read {\"status\": \"completed\", \"input\": {\"filePath\": \"/tmp/opencode/DAPPr/DAPPr.py\"}, \"output\": \"<path>/tmp/opencode/DAPPr/DAPPr.py</path>\\n<type>file</type>\\n<content>\\n1: # DAPPr.py\\n2: # Author: Yao Ni\\n3: impor... |
assistant | 1,785,675,313,020 | {
"role": "assistant",
"content": "[tool:read {\"status\": \"completed\", \"input\": {\"filePath\": \"/tmp/opencode/DAPPr/train.py\"}, \"output\": \"<path>/tmp/opencode/DAPPr/train.py</path>\\n<type>file</type>\\n<content>\\n1: import os, torch, torchvision, functools\\n2: from torch.optim import AdamW\\n3: from ti... |
assistant | 1,785,675,317,702 | {
"role": "assistant",
"content": "[tool:read {\"status\": \"completed\", \"input\": {\"filePath\": \"/tmp/opencode/DAPPr/utils/data_builder.py\"}, \"output\": \"<path>/tmp/opencode/DAPPr/utils/data_builder.py</path>\\n<type>file</type>\\n<content>\\n1: from torch.utils.data import DataLoader\\n2: import torchvisio... |
assistant | 1,785,675,324,818 | {
"role": "assistant",
"content": "I now have the full picture: the official repo (`MaxwellYaoNi/DAPPr`) ships the DAPPr loss + train.py for fine-grained datasets only (CUB/StanfordDogs/TinyImageNet, ResNet-50) plus an EDL baseline; CIFAR/LLM experiments need my own scripts built on the drop-in loss. Let me check t... |
assistant | 1,785,675,364,803 | {
"role": "assistant",
"content": "I have everything I need from the paper. Now let me load the orx skills before setting up the experiment tree.\n[tool:skill {\"status\": \"completed\", \"input\": {\"name\": \"orx-experiment-tree\"}, \"output\": \"<skill_content name=\\\"orx-experiment-tree\\\">\\n# Skill: orx-exp... |
assistant | 1,785,675,379,969 | {
"role": "assistant",
"content": "Now let me check the Figure 5 axes (data sizes used), the F-EDL reference, and available dataset mirrors.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"grep -o 'src=\\\"[^\\\"]*\\\"[^>]*class=\\\"figure' /tmp/opencode/paper/paper.html | head; grep -o '<figure[... |
assistant | 1,785,675,431,012 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"grep -n -B 2 -A 8 \\\"Yoon and H. Kim (2025)\\\" /tmp/opencode/paper/paper.txt; echo ===; grep -n -B 2 -A 8 \\\"H. Kim (2025)\\\" /tmp/opencode/paper/paper.txt | head -40\"}, \"output\": \"2386- Cited by: \\u00a72 .... |
assistant | 1,785,675,434,882 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"grep -o '<img[^>]*>' /tmp/opencode/paper/paper.html | grep -i \\\"fig\\\\|F5\\\" | head -30\"}, \"output\": \"<img src=\\\"2605.00600v3/x5.png\\\" id=\\\"S5.F5.sf1.g1\\\" class=\\\"ltx_graphics ltx_img_landscape\\\"... |
assistant | 1,785,675,440,388 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"curl -sL \\\"https://arxiv.org/html/2605.00600v3/2605.00600v3/x5.png\\\" -o /tmp/opencode/paper/fig5a.png && curl -sL \\\"https://arxiv.org/html/2605.00600v3/2605.00600v3/x6.png\\\" -o /tmp/opencode/paper/fig5b.png ... |
assistant | 1,785,675,444,510 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"head -c 400 /tmp/opencode/paper/fig5a.png; echo; grep -o 'https://[^\\\"]*x5.png' /tmp/opencode/paper/paper.html | head -3\"}, \"output\": \"<!DOCTYPE html>\\n<html lang=\\\"en\\\">\\n <head>\\n<script>document.doc... |
assistant | 1,785,675,448,158 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"grep -o '<base href=\\\"[^\\\"]*\\\"' /tmp/opencode/paper/paper.html; grep -o 'href=\\\"[^\\\"]*2605.00600v3[^\\\"]*\\\"' /tmp/opencode/paper/paper.html | head -3\"}, \"output\": \"href=\\\"/abs/2605.00600v3\\\"\\nh... |
assistant | 1,785,675,452,128 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /tmp/opencode/paper && for u in \\\"https://arxiv.org/html/2605.00600/x5.png\\\" \\\"https://arxiv.org/html/2605.00600v3/x5.png\\\"; do echo \\\"== $u\\\"; curl -sL \\\"$u\\\" -o test.png -w \\\"%{http_code} %{si... |
assistant | 1,785,675,457,466 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /tmp/opencode/paper && curl -sL \\\"https://arxiv.org/html/2605.00600/x5.png\\\" -o fig5a.png && curl -sL \\\"https://arxiv.org/html/2605.00600/x6.png\\\" -o fig5b.png && python3 -c \\\"\\nfrom PIL import Image\\... |
assistant | 1,785,675,461,665 | {
"role": "assistant",
"content": "[tool:read {\"status\": \"completed\", \"input\": {\"filePath\": \"/tmp/opencode/paper/fig5a_small.png\"}, \"output\": \"Image read successfully\", \"metadata\": {\"preview\": \"Image read successfully\", \"truncated\": false, \"loaded\": []}, \"title\": \"../../../../../../../../... |
assistant | 1,785,675,464,171 | {
"role": "assistant",
"content": "The model can't view images, so I'll note Figure 5's exact x-axis sizes are unreadable from the figure; I'll use standard sizes (1K→50K) and document the assumption. Let me check disk space, trackio CLI, and the F-EDL code structure.\n[tool:bash {\"status\": \"completed\", \"input... |
assistant | 1,785,675,471,885 | {
"role": "assistant",
"content": "F-EDL official code is available — I can run the real F-EDL baseline locally for Claims 2/3. Let me check the local Python/GPU environment.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"python3 -c \\\"import torch, torchvision; print(torch.__version__, torchvi... |
assistant | 1,785,675,481,022 | {
"role": "assistant",
"content": "No torch yet — I'll install the stack system-wide (orx local runs use the machine's environment as-is), in the background while I scaffold the reproduction code.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"nohup pip install --quiet torch torchvision tqdm sci... |
assistant | 1,785,675,612,510 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sleep 60; tail -3 /tmp/opencode/pip_torch.log; python3 -c \\\"import torch; print('torch ok', torch.__version__, torch.cuda.is_available())\\\" 2>&1 | tail -1\", \"timeout\": 90000}, \"output\": \"torch ok 2.13.0+cu... |
assistant | 1,785,675,677,495 | {
"role": "assistant",
"content": "Torch 2.13.0+cu130 installed, CUDA available. Let me verify the rest of the deps and run a quick GPU smoke test while I scaffold the project.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"python3 -c \\\"import transformers, peft, bitsandbytes, accelerate, data... |
assistant | 1,785,675,684,188 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"tail -5 /tmp/opencode/pip_torch.log; pip install --quiet transformers peft bitsandbytes accelerate datasets sentencepiece 2>&1 | tail -3\", \"timeout\": 600000}, \"output\": \"(no output)\", \"metadata\": {\"output\... |
assistant | 1,785,675,689,855 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"python3 -c \\\"import transformers, peft, bitsandbytes, accelerate, datasets; print('llm deps ok')\\\"\"}, \"output\": \"llm deps ok\\n\", \"metadata\": {\"output\": \"llm deps ok\\n\", \"exit\": 0, \"truncated\": f... |
assistant | 1,785,675,698,985 | {
"role": "assistant",
"content": "Both GPUs work; all deps in. Let me check the paper's pseudocode for the exact DAPPr loss sign convention (Eq. 17 looks like it's minimized), then look at repo's utils/tools.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '95,140p' /tmp/opencode/paper/pa... |
assistant | 1,785,675,720,566 | {
"role": "assistant",
"content": "Repo loss matches the paper's Figure 1 pseudocode exactly. Now let me set up the orx experiment tree — first check the project state, then create the baseline.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx project view 9a0f7e24-9ce7-4a83-9f26-38764ea775c1 ... |
assistant | 1,785,675,739,688 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx create-experiment 9a0f7e24-9ce7-4a83-9f26-38764ea775c1 --title \\\"Baseline: DAPPr framework + Claim 1 audit\\\" --description \\\"Reproduction of ICML 2026 paper #4580 (Possibilistic Predictive Uncertainty for ... |
assistant | 1,785,675,744,089 | {
"role": "assistant",
"content": "Push failed — no GitHub auth. Let me check available credentials.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"env | grep -i -E \\\"github|token|gh_\\\" | sed 's/=.*/=<set>/'; git config --global --list 2>/dev/null | grep -i -E \\\"credential|url\\\" ; cat ~/... |
assistant | 1,785,675,748,825 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && git remote -v && git push https://x-access-token:«redacted»}@github.com/riteshkr54/hf-paper-repro.... |
assistant | 1,785,675,754,830 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && git branch -a && orx project view 9a0f7e24-9ce7-4a83-9f26-38764ea775c1 2>&1 | tail -8\"}, \"output... |
assistant | 1,785,675,758,816 | {
"role": "assistant",
"content": "Token works via URL. Let me configure git credential storage so orx's internal `git push` works, then retry.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"git config --global credential.helper store && printf 'https://x-access-token:«redacted»' \\\"$GITHUB_TOK... |
assistant | 1,785,675,763,376 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx create-experiment 9a0f7e24-9ce7-4a83-9f26-38764ea775c1 --title \\\"Baseline: DAPPr framework + Claim 1 audit\\\" --description \\\"Reproduction of ICML 2026 paper #4580 (Possibilistic Predictive Uncertainty for ... |
assistant | 1,785,675,768,671 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx project view 9a0f7e24-9ce7-4a83-9f26-38764ea775c1 2>&1 | tail -6\"}, \"output\": \" repo: riteshkr54/hf-paper-repro (baseline branch: main)\\n clone: /home/avesha/.cache/openresearch/repos/riteshkr54/hf-p... |
assistant | 1,785,675,771,476 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx exp status 7ad403fb-2213-4a9a-a461-31562542910c 2>&1\"}, \"output\": \"Baseline: DAPPr framework + Claim 1 audit (idle) [local]\\n id: 7ad403fb-2213-4a9a-a461-31562542910c\\n branch: orx/baseline-dap... |
assistant | 1,785,675,774,715 | {
"role": "assistant",
"content": "Command set. Now let me check out the baseline branch and write the reproduction framework.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && git f... |
assistant | 1,785,675,778,282 | {
"role": "assistant",
"content": "Now let me check the official repo's data README for dataset sources and split formats.\n[tool:read {\"status\": \"completed\", \"input\": {\"filePath\": \"/tmp/opencode/DAPPr/data/README.md\"}, \"output\": \"<path>/tmp/opencode/DAPPr/data/README.md</path>\\n<type>file</type>\\n<c... |
assistant | 1,785,675,787,719 | {
"role": "assistant",
"content": "Now let me test the dataset download URLs before committing to them.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"for u in \\\"https://people.eecs.berkeley.edu/~hendrycks/imagenet-o.tar\\\" \\\"https://thor.robots.ox.ac.uk/dtd/dtd-r1.0.1.tar.gz\\\" \\\"https:... |
assistant | 1,785,675,799,585 | {
"role": "assistant",
"content": "All URLs live. Kicking off dataset downloads in the background with the official repo's layout, then writing the framework code.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"mkdir -p /home/avesha/.cache/dappr-data/datasets /home/avesha/.cache/dappr-data/torch... |
assistant | 1,785,675,927,689 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"tail -5 /tmp/opencode/dl.log 2>/dev/null; ls /home/avesha/.cache/dappr-data/datasets 2>/dev/null\"}, \"output\": \"imagenet-o done\\ndtd done\\nplaces done\\ntiny done\\nPlaces365\\ndtd\\nimagenet-o\\ntiny-imagenet-... |
assistant | 1,785,675,930,864 | {
"role": "assistant",
"content": "Downloads progressing. Let me check F-EDL's model definitions (to match their CIFAR-10 setup), then write the framework.\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '1,120p' /tmp/opencode/F-EDL/models.py\"}, \"output\": \"import os\\nimport math\\nimp... |
assistant | 1,785,675,942,626 | {
"role": "assistant",
"content": "F-EDL uses VGG16 (CIFAR-10) and ResNet-18 (CIFAR-100) with spectral norm — matching the paper's architecture choices. Now I'll write the framework. First, copy official code files into the worktree:\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha... |
assistant | 1,785,675,949,311 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && cp -r /tmp/opencode/DAPPr/data/splits/CUB /tmp/opencode/DAPPr/data/splits/StanfordDogs data/splits... |
assistant | 1,785,675,956,668 | {
"role": "assistant",
"content": "Now writing the framework. Let me check F-EDL's datasets.py for their transforms first:\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '1,120p' /tmp/opencode/F-EDL/datasets.py\"}, \"output\": \"import os\\nimport numpy as np\\nfrom collections import Cou... |
assistant | 1,785,675,961,980 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '120,249p' /tmp/opencode/F-EDL/datasets.py\"}, \"output\": \" testloader = DataLoader(dirty_test, batch_size=batch_size, shuffle=False, num_workers=num_workers)\\n\\n\\n fmnist_loader = DataLoader(f... |
assistant | 1,785,675,966,824 | {
"role": "assistant",
"content": "Now I'll write the framework files:\n[tool:write {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/paths.py\", \"content\": \"import os\\n\\n# Canonical dat... |
assistant | 1,785,675,972,401 | {
"role": "assistant",
"content": "[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"import os, shutil\\nimport torch\\nfrom torch.utils.data import DataLoader, Subset\\nimport torchvision.transforms as transforms\\nfrom torchvision import datasets\\nfrom .paths import DATA_ROOT, TORCH_ROOT, DATASE... |
assistant | 1,785,675,986,055 | {
"role": "assistant",
"content": "[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"import torch\\nimport torchvision\\nfrom torch import nn\\n\\n\\ndef build_model(name, num_classes=10, pretrained=False):\\n \\\"\\\"\\\"Model factory. 'vgg16' -> VGG16-BN (CIFAR-10, per paper/EDL literature);\\... |
assistant | 1,785,675,994,223 | {
"role": "assistant",
"content": "[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"import json, os\\nimport torch\\nimport functools\\nfrom torch.optim import AdamW\\nfrom timm.scheduler.cosine_lr import CosineLRScheduler\\n\\nimport dappr, edl\\nfrom . import data as data_mod\\nfrom .eval import... |
assistant | 1,785,676,005,525 | {
"role": "assistant",
"content": "Now the Claim 1 audit module:\n[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"\\\"\\\"\\\"Claim 1 audit: numerical verification of Proposition 1 and of the DAPPr loss/uncertainty\\nimplementations against the paper (Eqs. 12-17, Sec. 4.4).\\n\\n1. Prop. 1: for r... |
assistant | 1,785,676,025,019 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/audit_claim1.py\", \"oldString\": \" model = nn.Sequential(nn.Linear(4, 64), nn.ReLU(), nn.L... |
assistant | 1,785,676,032,767 | {
"role": "assistant",
"content": "Now the CUB module (based on the official train.py) and the F-EDL runner:\n[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"\\\"\\\"\\\"CUB-200-2011 (and StanfordDogs / TinyImageNet) training, closely following the official\\nrepo train.py (same scheduler, warmup... |
assistant | 1,785,676,044,205 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/fgvc_train.py\", \"newString\": \" train_dl, val_dl, test_dl = data_mod.get_fgvc_loaders(ds,... |
assistant | 1,785,676,050,193 | {
"role": "assistant",
"content": "Now the F-EDL runner (vendored official F-EDL code with configurable paths):\n[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"\\\"\\\"\\\"F-EDL (Yoon & Kim, NeurIPS 2025, https://github.com/TaeseongYoon/F-EDL) on CIFAR-10/100.\\n\\nRuns the vendored official imp... |
assistant | 1,785,676,064,830 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"sed -n '120,213p' /tmp/opencode/F-EDL/uq.py\"}, \"output\": \" {\\\"AU\\\": auroc_aupr(alea_id, alea_ood1)[0], \\\"EU\\\": auroc_aupr(epis_id, epis_ood1)[0]},\\n {\\\"AU\\\": auroc_aupr(alea_id, alea_o... |
assistant | 1,785,676,069,276 | {
"role": "assistant",
"content": "The vendored F-EDL `train()` hardcodes 10 classes (broken for CIFAR-100) — I'll write my own loop replicating their exact recipe instead:\n[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a... |
assistant | 1,785,676,085,154 | {
"role": "assistant",
"content": "Now the Figure 5 (Claim 6) module and the OBQA (Claim 5) module:\n[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"\\\"\\\"\\\"Claim 6 / Figure 5: epistemic uncertainty and accuracy on CIFAR-100 vs training data size,\\nfor DAPPr vs EDL (ResNet-18, paper config: ... |
assistant | 1,785,676,097,537 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/fig5.py\", \"newString\": \" # mean epistemic uncertainty (K/alpha0) on the test set... |
assistant | 1,785,676,101,840 | {
"role": "assistant",
"content": "[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"\\\"\\\"\\\"Claim 5 (scaled): Mistral-7B fine-tuned on OpenBookQA with the DAPPr loss vs cross-entropy.\\n\\nFull fine-tuning of Mistral-7B is infeasible on 2x T4-16GB (paper/IB-EDL use larger GPUs);\\nthis is a sc... |
assistant | 1,785,676,122,258 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/obqa.py\", \"newString\": \"@torch.no_grad()\\ndef evaluate(model, tokenizer, test, ood_ds, dev... |
assistant | 1,785,676,135,552 | {
"role": "assistant",
"content": "Now the dispatcher and baseline config:\n[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"Reproduction of ICML 2026 paper #4580 \\u2014 Possibilistic Predictive Uncertainty for Deep Learning\\n(DAPPr; arXiv 2605.00600, https:/... |
assistant | 1,785,676,143,230 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && touch modules/__init__.py && python3 -c \\\"import ast; [ast.parse(open(f).read()) for f in ['repr... |
assistant | 1,785,676,147,268 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && python3 -c \\\"\\nimport scipy; print('scipy', scipy.__version__)\\nimport repro, dappr, edl\\nimp... |
assistant | 1,785,676,153,810 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/edl.py\", \"newString\": \"from dappr import DAPPr_uncertainty\", \"oldString\": \"from DAPPr import DA... |
assistant | 1,785,676,158,244 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && python3 -c \\\"\\nimport repro, dappr, edl\\nimport modules.audit_claim1, modules.eval, modules.da... |
assistant | 1,785,676,165,188 | {
"role": "assistant",
"content": "[tool:write {\"status\": \"completed\", \"input\": {\"content\": \"import torchvision\\n\\n\\ndef build_model(name, num_classes=10, pretrained=False):\\n \\\"\\\"\\\"Model factory. 'vgg16' -> VGG16-BN (CIFAR-10, per paper/EDL literature);\\n 'resnet18'/'resnet50' -> torchvis... |
assistant | 1,785,676,169,687 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && python3 -c \\\"\\nimport repro, dappr, edl\\nimport modules.audit_claim1, modules.eval, modules.da... |
assistant | 1,785,676,181,107 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"pip install --quiet h5py 2>&1 | tail -1; cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && sed -i 's/from fedl import datasets as fedl_datasets/impo... |
assistant | 1,785,676,190,367 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && touch fedl/__init__.py && python3 -c \\\"\\nimport repro, dappr, edl\\nimport modules.audit_claim1... |
assistant | 1,785,676,199,527 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && ls fedl/ && python3 -c \\\"import fedl; print(fedl.__file__)\\\"\"}, \"output\": \"__init__.py\\n_... |
assistant | 1,785,676,203,304 | {
"role": "assistant",
"content": "The earlier `cp` chain aborted before copying F-EDL files. Let me copy them now:\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && cp /tmp/opencode... |
assistant | 1,785,676,211,669 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/fedl_run.py\", \"newString\": \"import json, os, sys, importlib\\n\\nimport torch\", \"oldStrin... |
assistant | 1,785,676,218,971 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && python3 -c \\\"\\nimport repro, dappr, edl\\nimport modules.audit_claim1, modules.eval, modules.da... |
assistant | 1,785,676,226,489 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && grep -n \\\"import uq\\\\|from uq\\\\|import train\\\\|from train\\\\|import datasets\\\\|from dat... |
assistant | 1,785,676,232,770 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && sed -i 's/^import uq /from . import uq /; s/^from uq import \\\\*/from .uq import */' fedl/train.p... |
assistant | 1,785,676,242,823 | {
"role": "assistant",
"content": "Imports OK. Quick smoke test of the audit logic, then commit:\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && python3 -c \\\"\\nimport sys; sys.a... |
assistant | 1,785,676,256,114 | {
"role": "assistant",
"content": "Prop 1 verified to ~6e-12. The toy EU check is flaky — let me make it more robust before it goes in the log:\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27... |
assistant | 1,785,676,274,808 | {
"role": "assistant",
"content": "The toy isn't stable enough — Claim 6 covers EU-vs-data properly with ResNet-18, so I'll drop the toy from the Claim 1 audit:\n[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282... |
assistant | 1,785,676,282,019 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/audit_claim1.py\", \"newString\": \"def audit_uncertainty_defs(n_trials=20, K=10, seed=2):\\n ... |
assistant | 1,785,676,290,948 | {
"role": "assistant",
"content": "[tool:edit {\"status\": \"completed\", \"input\": {\"filePath\": \"/home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f/modules/audit_claim1.py\", \"newString\": \"3. DAPPr_uncertainty matches Sec. 4.4: AU = 1 - max_k alpha... |
assistant | 1,785,676,295,160 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"tail -3 /tmp/opencode/dl.log; ls /home/avesha/.cache/dappr-data/datasets/CUB_200_2011/CUB_200_2011/images 2>/dev/null | head -3; du -sh /home/avesha/.cache/dappr-data/datasets/* 2>/dev/null\"}, \"output\": \"dtd don... |
assistant | 1,785,676,300,453 | {
"role": "assistant",
"content": "CUB still downloading. Meanwhile, pre-download torchvision datasets and commit the baseline:\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"nohup python3 -c \\\"\\nimport torchvision\\nfrom torchvision import datasets\\nroot='/home/avesha/.cache/dappr-data/torc... |
assistant | 1,785,676,306,492 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && git rm -r --cached __pycache__ modules/__pycache__ fedl/__pycache__ utils/__pycache__ -q 2>/dev/nu... |
assistant | 1,785,676,311,043 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"cd /home/avesha/.cache/openresearch/worktrees/riteshkr54/hf-paper-repro/chat_a9a29beb-d282-4472-b714-ab27bf3c775f && git add -A && git commit -q -m \\\"Baseline: DAPPr repro framework (Claim 1 audit + cifar/fedl/fgv... |
assistant | 1,785,676,318,807 | {
"role": "assistant",
"content": "Pushed. Launching the baseline Claim 1 audit run:\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx exp run 7ad403fb-2213-4a9a-a461-31562542910c --backend local 2>&1 | tail -3\"}, \"output\": \" dir /home/avesha/.local/share/openresearch/local-runs/e8b2dd28-... |
assistant | 1,785,676,322,724 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx exp wait 7ad403fb-2213-4a9a-a461-31562542910c --timeout 240 2>&1 | tail -2\", \"timeout\": 260000}, \"output\": \"e8b2dd28-6f8e-4388-934c-368b32938bad failed\\nreason: Job failed: exited with code 127\\n\", \"me... |
assistant | 1,785,676,331,422 | {
"role": "assistant",
"content": "[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"orx logs e8b2dd28-6f8e-4388-934c-368b32938bad 2>&1 | tail -20\"}, \"output\": \"Cloning into 'repo'...\\nrun.sh: line 7: python: command not found\\n[local file] bytes 0\\u201365 of 65\\n\", \"metadata\": {\"output\... |
assistant | 1,785,676,335,329 | {
"role": "assistant",
"content": "`python` binary missing — the machine only has `python3`. Symlinking (environment fix, contract stays `python repro.py`):\n[tool:bash {\"status\": \"completed\", \"input\": {\"command\": \"ln -sf $(which python3) /usr/local/bin/python && python --version && orx exp run 7ad403fb-22... |
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