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.
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。
Use when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks, supplementary media, dual submission, desk-reject triggers, and last-week sequencing.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this to run a pre-deadline audit of an ACM Multimedia paper. Reopen the current Call for Technical Papers, the Topics of Interest page, each relevant track call, and the OpenReview group before giving deadline-ready advice — ACM MM rewrites these each edition.
sigconf template with no margin, font, or spacing edits. ACM
MM 2026 used a 6–8 page body; references may spill onto up to two additional pages
that contain only references.| Trigger | Severity at ACM MM | Repair window |
|---|---|---|
| Overlength body (past 8 pages) | Desk reject | None after the deadline |
| Non-references content on the overflow pages | Desk reject or chair flag | Before the deadline only |
| Author identity in a double-blind PDF/media | Desk reject | None |
| Wrong thematic area | Off-topic reviews, not a desk reject | Fixable before the paper deadline |
| Supplement that will not play for a reviewer | Lost evidence | Fixable before the supplement deadline |
| Missing OpenReview coauthor profiles | Submission blocked | Before the deadline |
ACM MM runs on OpenReview, but the failure modes are administrative, not intellectual:
The most ACM MM-specific desk-reject cause is submitting to the wrong track's blinding regime.
| If you are submitting to... | Blinding | So the PDF must... |
|---|---|---|
| Main track / Brave New Ideas | Double-blind | Hide all author identity, in text, media, and links |
| Reproducibility track | Single-blind | Name the artifact and its authors as expected |
| Open Source Software Competition | Single-blind | Present the real project and repository |
| Dataset track | Single-blind | Identify the dataset and its providers |
Anonymizing a single-blind submission (or de-anonymizing a double-blind one) both signal that the authors did not read the track call — fix it before upload, not after.
[ACM MM readiness] Ready / Needs fixes / Not ready
[Track + thematic area] <main/BNI/dataset/... + area>
[Blocking checks] <OpenReview/page/anonymity/media/dual-submission>
[Cross-modal evidence risk] <one issue>
[Desk-reject risk] <one issue>
[Fix order] <ordered fixes before submission>
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
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。
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.
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。
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.
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。
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.
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。
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.
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。
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.
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。