Pre-review v0.1.1 artifact release — not externally peer reviewed or proof-assistant formalized.
This repository contains computer-assisted proofs of two fixed cases of the Erdős–Gyárfás balanced-colouring conjecture:
- Every 10-edge-colouring of
K_101contains 11 vertices whose induced complete graph omits a colour. - Every 11-edge-colouring of
K_122contains 12 vertices whose induced complete graph omits a colour.
The general all-r conjecture remains open.
AI-authored; directed by Adam Lee Terpstra, Independent researcher, and prepared for human submission.
OpenAI Codex materially generated the mathematical arguments, computational
classifications, verifier code, adversarial checks, and exposition. Adam Lee
Terpstra selected and directed the project, made continuation and verification
decisions, required separate clean-room audits, and serves as submitter and
artifact custodian. See AI_USAGE.md for the full disclosure.
Both results were assessed as valid in separate clean-room computational audits. They are not Lean-formalized, backed by LRAT certificates, externally peer reviewed, or independently proved by a human mathematician.
r=10: the audit independently regenerated the critical finite families, checked 4,923,214 inherited-density subsets and 4,987,794 row-cover partitions, and replayed all 48 outer comparisons. The last margin is one.r=11: 33 independently written files were frozen before comparison with submitted code; all 31 post-freeze comparison runs passed. The decisive contextual comparison is 287 against a budget of 286.
The final publication-directory replay found one executable defect in a
frozen r=11 audit script: an impossible cover-size-four bipartition had not
been filtered. The submitted derivation and verifier contained the necessary
condition; the documented release repair reproduces maxima 19 and 25. See
RELEASE_REPLAY_NOTE.md. This does not currently
indicate a theorem-level gap, but it narrows the clean-room executable claim
and is disclosed for expert review.
Every issue found during the two clean-room audits and the final release
replay is itemized in REVIEW_DISPOSITION.md, with
its severity, correction, and current status. No known theorem-level defect is
unresolved. Historical source and logs that contain superseded errors are
retained and labeled for provenance; the public replay uses the corrected
paths.
See CLAIMS.md for the exact claims and non-claims.
Original code and computational artifacts are offered under
Apache-2.0. The paper is offered under CC BY 4.0
to the extent applicable. Third-party material retains its original terms.
paper/: current combined-paper draft and the inspectedr=10audit PDF.proof/r11_submission/: the 295 non-bytecode files from the submission audited for ther=11theorem. The full 401-row audited manifest is retained; 106 generated.pyccache files were omitted from the public tree because some embed absolute local paths.audits/r10/: independentr=10audit, manuscript, certificates, and replay.audits/r11/: independentr=11audit, implementations, logs, and replay.REPRODUCE.md: entry points and expected runtimes.PUBLICATION_REDACTIONS.md: exact local-path redactions and before/after hashes.RELEASE_REPLAY_NOTE.md: a frozen-audit replay defect and its public repair.REVIEW_DISPOSITION.md: consolidated finding-by-finding correction ledger.COMPUTE_ACCOUNTING.md: scoped token, elapsed-time, and API-equivalent-cost accounting for the research task and two independent audits.FINAL_REPLAY.md: publication-directory validation performed before the initial public release.
All public-directory computational steps passed on 11 August 2026 after the
two replay-packaging repairs documented in RELEASE_REPLAY_NOTE.md. The
r=10 replay passed as one clean run; the r=11 release checks passed in a
segmented final run while the two defects were found and corrected. See
FINAL_REPLAY.md for the exact scope.
The combined conventional paper remains in preparation; the Markdown file in
paper/ is a technical draft, not a finished manuscript. Corrections and
independent checks are explicitly invited through GitHub Issues or by email at
terpstra.research@gmail.com.