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QualityStata

AAAI Submission Audit

by brycewang-stanford

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.

880 stars106 forksAdded 2026/07/20
academic-researchacademic-writingagent-skillsai-agentsanthropicawesome-listcausal-inferenceclaudeclaude-codeeconometricseconomicsempirical-researchfinancejournalllmmcppeer-reviewreplicationresearch-toolsscholarly-publishing

Documentation

README

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-26 submissions used AAAI two-column camera-ready style, US Letter PDF, and 7 pages of technical content plus pages solely for references and the reproducibility checklist.
  • Confirm double-blind compliance in the PDF, file names, references to prior work, supplement, code/data, and metadata. Omit acknowledgments in the review version.
  • Include the reproducibility checklist after references when current instructions require it.
  • Enforce the author submission limit and author-change rules. AAAI-26 limited each author to 10 combined technical-track submissions and did not allow authors to be added after submission.
  • Check multiple-submission compliance. An AAAI submission under review cannot simultaneously be under review at another archival venue.
  • 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 stale AAAI-26 facts to a later cycle
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:

  1. PDF text: names, affiliations, acknowledgments, grants, self-identifying project names, and obvious self-citations.
  2. PDF metadata: title, author, producer, comments, embedded attachments, and file name.
  3. References: prior work phrased as "our previous" or "submitted to" when blind citation would be required.
  4. Supplement: ZIP names, directory names, notebooks, comments, plots, data paths, license files, and executable logs.
  5. External references: GitHub, project pages, anonymous archives, videos, demos, or issue trackers.
  6. 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

[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>

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