AAAI Submission
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.
Submission audit
- Confirm the target track: Main Track, AI for Social Impact, AI Alignment, or another AAAI program. Track-specific rules can differ.
- Verify OpenReview account/profile readiness, conflicts, author list, subject areas, and submission metadata before the abstract and paper deadlines.
- Check the current AAAI author kit. AAAI-27 submissions use AAAI two-column camera-ready style and US Letter PDF, with a main PDF of at most 9 pages whose pages 8-9 are references only — 7 pages of non-reference content. Any ethical statement counts inside those 7 pages.
- Confirm double-blind compliance in the PDF, file names, references to prior work, supplement, code/data, and metadata. Omit acknowledgments in the review version.
- Upload the reproducibility checklist in its own submission field, not inside the paper PDF — AAAI-27 moved it out of the document, and a checklist buried after the references is now a missing checklist.
- Enforce the author submission limit and author-change rules. AAAI-27 limits each author to 10 combined main-technical-track submissions (the AI Alignment and AI for Social Impact special tracks are excluded from that count), allows no author additions after submission, and permits modifications only until the full-paper deadline.
- Check multiple-submission compliance. An AAAI submission under review cannot simultaneously be under review at another archival venue, and AAAI-27 names the patterns it treats as violations: cosmetic re-submission, "thin slicing" one contribution across papers, splitting results by method/dataset/domain, and obfuscated or "alternative universe" duplicates. Papers sharing authors may be assessed together for novelty.
- Apply the current AAAI AI-use policy: editing/polishing author-written text may be allowed, but LLM-generated manuscript text, AI authorship, and AI-generated citations are policy risks.
Blocking risks
- Over-limit technical content or malformed PDF.
- Missing reproducibility checklist.
- Identity leakage in paper, supplement, links, code, data, or prior-work citations.
- Author added after the allowed window.
- Concurrent archival submission.
- Web pointers to mutable supplementary material.
- Policy-violating LLM-generated text, hallucinated references, or plagiarism.
Summary-reject screen
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 |
Pre-deadline evidence packet
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.
Anonymity sweep order
Run anonymity checks in a fixed order so fixes do not reintroduce leaks:
- PDF text: names, affiliations, acknowledgments, grants, self-identifying project names, and obvious self-citations.
- PDF metadata: title, author, producer, comments, embedded attachments, and file name.
- References: prior work phrased as "our previous" or "submitted to" when blind citation would be required.
- Supplement: ZIP names, directory names, notebooks, comments, plots, data paths, license files, and executable logs.
- External references: GitHub, project pages, anonymous archives, videos, demos, or issue trackers.
- OpenReview metadata: author list, conflicts, subject areas, institutional hints in abstract or keywords.
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.
Worked vignette
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.
Output format
text[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>
