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aistats-supplementary

Use when preparing AISTATS supplementary material, appendices, proof details, code/data archives, simulation scripts, additional tables, and anonymized artifacts under deadline, size, anonymity, and reviewer-discretion constraints, including how to split a theory-plus-experiments paper between body and supplement.

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AISTATS Supplementary

Use this when assembling AISTATS supplementary material. The supplement can support the paper, but the main submission must remain understandable without it.

Supplement structure

  • Put theorem proofs, derivations, extra ablations, simulation details, dataset documentation, and robustness tables in a clean appendix or supplementary manuscript.
  • Put executable assets in a separate archive when current OpenReview forms allow it.
  • Respect the current supplementary deadline. AISTATS 2026 placed supplementary-material submission after the paper deadline but before review.
  • Keep all supplementary files double-blind: no authors, institutions, acknowledgements, private paths, repository owners, grants, or identifying metadata.
  • Do not use the supplement to hide essential motivation, core method description, main theorem statements, or primary empirical results.
  • Verify archives open on a clean machine and contain no credentials, cache directories, large irrelevant files, or hidden OS metadata.

Appendix architecture for proofs

  • Order appendix sections to mirror main-text theorem order; statistician reviewers navigate by theorem number, not by page.
  • Restate each theorem before its proof so the appendix reads standalone without flipping back to the two-column body.
  • Standard partition: notation and assumptions, main proofs, auxiliary lemmas, additional simulations, then real-data details.
  • Keep one proof-sketch paragraph per major theorem in the body itself; an AISTATS submission whose entire argument lives in the supplement reads as unreviewable within the page limit.
  • Cross-reference every appendix table and lemma from the body at least once; orphaned supplement material is invisible to reviewers and wasted under reviewer discretion.
  • If the cycle allows appendices inside the main PDF after the references, confirm against the current instructions whether that or a separate file upload is expected.

What gets opened first

Supplement itemInspection likelihoodPractical implication
Proof of the headline theoremHighPolish it to main-text standard
Extra ablation and robustness tablesMediumReference each one from the body
Code archiveVariable, reviewer discretionThe README must orient a reader in one minute
Raw experiment logsLowInclude for completeness, never rely on them

Vignette: splitting an optimization paper

A submission proving a convergence guarantee for a stochastic mirror-descent variant, plus benchmark plots: the body keeps the theorem, the key lemma, the proof roadmap, and two decision-critical figures; the appendix holds full proofs and step-size sensitivity grids; the archive carries the seeded experiment runner. Nothing decision-critical lives only in the archive, because archive inspection at AISTATS is discretionary.

Output format

[Supplement status] Ready / Needs fixes / Not ready
[Files] <appendix/proofs/code/data/logs>
[Deadline] <current supplement deadline and source>
[Anonymity checks] <passed/issues>
[Main-paper dependency] <what breaks if supplement is ignored>

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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.

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brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.

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brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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日本語の概要は準備中です。原文の説明を表示しています。

brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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.

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brycewang-stanford/Awesome-Journal-Skills1,2482026年9月27日 更新

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