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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when auditing an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use this for an AAAI main technical track submission audit. Reopen the current conference page, Author Kit, CFP, submission instructions, review process page, supplementary-material page, and author policies before giving deadline-ready advice.
AAAI's large reviewer pool and high volume mean a desk-level or Phase-1 cut is the most likely way to lose, so screen for the mechanical failures first.
| Check | Fast-fail trigger | Where it bites |
|---|---|---|
| Page limit | technical content over the cap | desk return |
| Anonymity | author name in PDF, code, or metadata | policy reject |
| Checklist | missing or contradictory | Phase-1 distrust |
| Dual submission | concurrent archival venue | ethics reject |
Build a single review-version packet before the abstract deadline, then refresh it before final submission. The packet is not a substitute for the official instructions; it is a way to make the submission audit reproducible and to keep late fixes from creating new policy problems.
| Packet item | What to capture | Failure it prevents |
|---|---|---|
| Policy snapshot | current conference page, Author Kit, submission instructions, supplementary-material rules, and AI-use policy checked dates | applying a closed cycle's facts to the open one |
| PDF proof | page count, paper size, style file, checklist placement, font/figure warnings, and metadata scrub result | desk return for formatting or anonymity |
| Author ledger | OpenReview profiles, conflicts, subject areas, author-limit count, and author-list freeze status | profile conflict, over-limit author, late author change |
| Supplement ledger | every appendix, multimedia, code/data ZIP, README, license note, and anonymous link policy decision | mutable web pointer or identity leak |
| Ethics ledger | dual-submission status, human-subjects/data constraints, AI-use disclosure, plagiarism/citation check | policy reject after submission |
For each item, record the evidence path and the person who can fix it. If a rule is uncertain, mark it as "requires current chair/author-kit confirmation" instead of guessing.
Run anonymity checks in a fixed order so fixes do not reintroduce leaks:
The output should separate "must fix before submission" from "acceptable but document why." Do not rely on a single manual skim; use PDF metadata tools, archive listing, and text search when available.
A robotics-learning team has 7 strong technical pages but left an acknowledgments line and a GitHub URL with their lab name in the supplement. The audit flags anonymity as the highest summary-reject risk: the fix order is strip the acknowledgment, replace the link with an anonymous archive, scrub ZIP metadata, then re-export and re-run the anonymity sweep before the paper deadline.
[AAAI readiness] Ready / Needs fixes / Not ready
[Track] Main / AI for Social Impact / AI Alignment / other
[Blocking checks] <page/anonymity/checklist/supplement/author-limit/dual-submission/AI-policy>
[Highest summary-reject risk] <one issue>
[Fix order] <ordered fixes before submission>
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.