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aaai-reproducibility
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
AAAI-Skills/skills/aaai-reproducibility/SKILL.md
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# AAAI Reproducibility
Use this when a draft needs to survive AAAI review on rigor, not just novelty. AAAI-27 requires the
reproducibility checklist to be **uploaded separately** from the main PDF, in its own field on the
submission form (AAAI-26 carried it inside the PDF after the references) — so it is a document a
reviewer opens on its own, and it has to agree with the paper and supplement rather than read as an
afterthought. AAAI-27 also states that reviewers assess reproducibility from what was actually
submitted, and that material promised "after acceptance or publication" is not evidence it exists.
## Reproducibility audit
- Map each central claim to submitted evidence: theorem, table, figure, ablation, appendix item,
checklist answer, or code/data artifact.
- Record seeds, splits, preprocessing, hyperparameters, model selection, early stopping, prompt