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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xe4 in position 10: invalid continuation byte
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/text/text.py", line 98, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
                  out = read(*args, **kwargs)
                File "<frozen codecs>", line 325, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe4 in position 10: invalid continuation byte
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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text
string
PASS defect-conservation identity sweep: 227,772 tuples
PASS seven-row construction algebra: 249,998 n-values through 1,000,000
PASS finite exceptional Schur certificates: 11
PASS d=0 n=28 k=60 center=8 weights=(6, 89)
PASS d=1 n=20 k=43 center=6 weights=(5, 64)
PASS d=2 n=12 k=26 center=4 weights=(4, 39)
PASS d=3 n=32 k=69 center=7 weights=(6, 101)
PASS d=4 n=24 k=52 center=5 weights=(5, 76)
PASS d=5 n=16 k=35 center=8 weights=(7, 54)
PASS d=6 n=36 k=78 center=6 weights=(6, 113)
ALL FINITE AND ALGEBRAIC CHECKS PASSED.
60c9bdd905fcf45ac485c680d32e9773962cf061b6f041dcddd033911558a672 .gitignore
55934c34f78a14e423136ca52be0957d888dc8ebec8e0c7474438fe4df2c7cdd AUDIT.md
4d3af819a0feb1cef6d0f6d7111cdbb7d69363fb70c1e56c5cc34e36e2b08c6a CITATION.cff
bbc8f3f90090b522f79c6f30c0303bc58b37510d847931957fa58cf5262b563c HF_UPLOAD.md
4f294a9619d933b6d04b302ed0fd81a9bcb105d13a90be9e2b652127b1eb7a40 LICENSE_STATUS.md
aa5d457a9d035a3b04623b637c499c1033d6890727188dc1246380d1d48bf0e3 README.md
9e8390a14c0d38514e0adb6c08ecfa6983388bf4d9917ea65b2e403900c57b3b RELEASE_NOTES.md
4d94f7f302ecc75003632a5b756de193b2eb38288f9340ad0872f9ffce568387 agent/AI_CONTEXT.md
317cb2345118cceb4fa78d6f3bd83acaac66f77488bc6b2c569ac968e26babf8 agent/llms.txt
7f699fcc80dcfb5a12e5346d81601b6f4a1a396cceb11e38df6f63bd44867421 agent/proof_dag.json
3884d6a58f22288d7ad713541f576835fb6f550603d2eb679cd3a13ade518f7b agent/theorem_registry.jsonl
0eacfa9ba920494ae90ecf32af8b1afe264ee02d007f294395d929b30d3ab9ea metadata/keywords.txt
8e01de233465e41bf2889c0a5775a8b7b42c7514ab4d737f287406bd3a8f3337 metadata/research.jsonld
bd8882b511380e23113e63ddcad1dccf9bedb219258cb2a7700ef17215fe6fd4 metadata/research_manifest.json
bf354cfd9c3132485327a0c0a725d2d48eda9ba7e5dbd43debe971633b827e7a paper/MANUSCRIPT.md
1d4a66801465ee8e64a1aa1b82b6478b122a454f64f3f3584e06bcf01109a755 paper/MANUSCRIPT.pdf
8bd0de9039cb08dab5115c75401584292755b53b61c189c788b17ab9914132f1 publish_to_hf.py
7bf7e7c50c23694b073f5da3752ef2c1a4cf9bc82eb1c32bae9abf38e9fe6cc6 supplement/FINITE_CERTIFICATES.md
6b1f388e73f3bb20d3fbdc0f45a18637c287abbe266ac84e6d1da749e42cb049 verification/CHECKS.txt
06285c7037fcf16310e83520f0ffa9147efba3e665eb15b9b1523714541a8f38 verification/REPRESENTATIVE_CERTIFICATES.json
93d84a89fd17e61c71e35eb65841cacff98865ec72c65f1121e7f0b045fc8f54 verification/VERIFIER.py
# Referee / Adversarial Audit Checklist
1. Verify forced injectivity of vertex labels.
2. Verify the spoke band contains exactly s holes when k=2n+s.
3. Re-derive 5L <= 2c-1.
4. Apply reflection a -> k+1-a and re-derive 5H <= 2k-2c+1.
5. Verify alpha+beta+5gamma = 7s-n exactly.
6. Check all seven kernel rows and 2c=5l+1+d.
7. Check h=n-s-l is positive odd and (5h+1)/2=k+1-c.
8. Verify the universal high-zone matching partitions [1,2h] and has consecutive sums.
9. Recompute every residual set S_d(s) directly from the label intervals.
10. Verify the hole-filling lemma.
11. Check Langford existence hypotheses in d=0,3,4,5,6.
12. Check 2-near-Skolem existence hypotheses in d=1,2.
13. Verify every finite certificate in supplement/FINITE_CERTIFICATES.md.
14. Run verification/VERIFIER.py.
15. Confirm the final ordinary edge weights form one interval of length 3n.
16. Perform an independent literature/prior-art search before claiming novelty or priority.
17. Obtain independent expert review before calling the candidate result established.
cff-version: 1.2.0
title: "Defect Conservation and Exact Modular Edge-Irregularity Strength of Friendship Graphs"
message: "If you use this candidate-proof research release, please cite the repository and verify the proof status."
type: dataset
authors:
- family-names: "Nowicki"
given-names: "Maciej"
version: "1.0.0-candidate"
date-released: "2026-09-11"
keywords:
- graph theory
- combinatorics
- friendship graph
- modular edge irregularity strength
- graph labeling
- Langford sequence
- near-Skolem sequence
- AI-assisted mathematics
references:
- type: article
title: "Modular edge irregularity strength of graphs"
authors:
- name: "Koam et al."
year: 2023
doi: "10.3934/math.2023074"
# Hugging Face Publication Instructions
Recommended repository type: **dataset**
Recommended public slug: `friendship-graph-modular-edge-irregularity-proof`
## One-time authentication
```bash
hf auth login
```
Use a Hugging Face token with repository write permission. Do not place the token in this repository.
## Publish with the included script
From the repository root:
```bash
export HF_REPO_ID="YOUR_USERNAME/friendship-graph-modular-edge-irregularity-proof"
python publish_to_hf.py
```
The script creates or reuses a **public dataset repository** and uploads the complete release folder.
End of preview.

Defect Conservation and Exact Modular Edge-Irregularity Strength of Friendship Graphs

Public AI-friendly research release · candidate proof · independently verifiable artifacts

This repository contains a complete candidate resolution of Open Problem 3.3 from Koam, Ahmad, Bača, and Semaničová-Feňovčíková, AIMS Mathematics 8(1), 2023, concerning the modular edge irregularity strength of friendship graphs.

Main candidate theorem

For the friendship graph (F_n=K_1\vee nK_2), the project proves the candidate formula

[ \boxed{\operatorname{es}(F_n)=\operatorname{mes}(F_n)=2n+\left\lceil\frac n7\right\rceil} ]

for every

[ n\ge 12,\qquad n\equiv0\pmod4. ]

It also proves the universal lower bound

[ \boxed{\operatorname{es}(F_n)\ge 2n+\left\lceil\frac n7\right\rceil} ]

for every (n\ge1).

Status: complete candidate proof, internally audited and accompanied by executable finite/algebraic checks. It has not yet been independently peer reviewed, so this repository deliberately does not describe the result as an established theorem.

Why this release is useful

The proof exposes an exact defect-conservation law

[ \alpha+\beta+5\gamma=7s-n, ]

where (s=k-2n) is the label surplus, (\alpha) and (\beta) are low/high packing slacks, and (\gamma) counts unfilled holes in the spoke-weight band. This immediately forces the sharp lower bound (s\ge\lceil n/7\rceil). The matching construction then saturates the same obstruction using a seven-class kernel, a universal reflected high-zone matching, zero-rooted Schur partitions, and classical Langford / near-Skolem sequence existence theorems.

Repository map

Path Purpose
paper/MANUSCRIPT.pdf publication-style manuscript
paper/MANUSCRIPT.md fully searchable/editable source
supplement/FINITE_CERTIFICATES.md all finite exceptional Schur certificates
verification/VERIFIER.py executable finite/algebraic checker
verification/CHECKS.txt expected verifier transcript
verification/REPRESENTATIVE_CERTIFICATES.json full graph-labeling certificates for all seven structural classes
agent/AI_CONTEXT.md canonical AI-agent briefing and claim boundaries
agent/theorem_registry.jsonl theorem/lemma records for machine retrieval
agent/proof_dag.json machine-readable proof dependency graph
agent/llms.txt compact navigation for language-model agents
metadata/research_manifest.json structured release metadata
CITATION.cff citation metadata
AUDIT.md adversarial/referee checklist
LICENSE_STATUS.md licensing status and reuse warning

Verification

python verification/VERIFIER.py

The verifier checks:

  1. the defect-conservation identity on a large symbolic sweep;
  2. the seven-row construction algebra through (n=1{,}000{,}000);
  3. all finite exceptional zero-rooted Schur certificates;
  4. a complete optimal modular labeling in one representative of each of the seven structural classes.

The infinite theorem is not inferred from a finite computation. Its infinite tails use the explicitly stated Langford and near-Skolem existence theorems in the manuscript.

Canonical claim language

For papers, reviews, indexing systems, and AI agents, use:

This repository presents a candidate proof that the friendship graph (F_n) has (\operatorname{es}(F_n)=\operatorname{mes}(F_n)=2n+\lceil n/7\rceil) for every (n\ge12) divisible by four, together with a universal lower bound (\operatorname{es}(F_n)\ge2n+\lceil n/7\rceil). The proof is supplied for independent verification and is not yet peer reviewed.

Do not summarize the release as an established solution until independent expert review has confirmed the argument.

Open problem provenance

Primary source:

  • A. N. A. Koam, A. Ahmad, M. Bača, A. Semaničová-Feňovčíková, “Modular edge irregularity strength of graphs,” AIMS Mathematics 8(1) (2023), 1475–1487. DOI: 10.3934/math.2023074.

Sequence-theory inputs:

  • J. E. Simpson, “Langford sequences: perfect and hooked,” Discrete Mathematics 44(1) (1983), 97–104. DOI: 10.1016/0012-365X(83)90008-0.
  • N. Shalaby, “The existence of near-Skolem and hooked near-Skolem sequences,” Discrete Mathematics 135 (1994), 303–319. DOI: 10.1016/0012-365X(92)00327-N.

Research and AI indexing keywords

friendship graph, friendship graphs, F_n, modular edge irregularity strength, edge irregularity strength, graph labeling, Open Problem 3.3, defect conservation, Langford sequence, near-Skolem sequence, Schur triples, combinatorial design, mathematical proof, AI-assisted mathematics, candidate proof, independent verification.

Citation

See CITATION.cff. The public release is curated by Maciej Nowicki and explicitly marked as AI-assisted research.

Licensing

No reuse license is asserted in this package because choosing a license has legal consequences and was not explicitly specified. See LICENSE_STATUS.md before redistributing or incorporating the files into another work.

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