Aaai Submission

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.

1. PDF metadata: title, author, producer, comments, embedded attachments, and file name.
2. References: prior work phrased as "our previous" or "submitted to" when blind citation would be

required.

1. Supplement: ZIP names, directory names, notebooks, comments, plots, data paths, license files, and

executable logs.

1. External references: GitHub, project pages, anonymous archives, videos, demos, or issue trackers.
2. 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] 
[Highest summary-reject risk] 
[Fix order] 

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: brycewang-stanford
• Source: brycewang-stanford/Awesome-Journal-Skills
• License: MIT
• Homepage: https://www.copaper.ai

Install and usage instructions live in the source repository linked above.