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 responding to an American Economic Review: Insights (AER: Insights) conditional-accept decision — addressing the editor's letter within the short window, usually without a second referee round. Drafts a concise, decisive response and revision plan; it does not redo the analysis (see aeri-robustness / aeri-identification).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
AER: Insights does not issue traditional revise-and-resubmit decisions. A conditional accept means the editor expects to publish the paper subject to the changes in the decision letter; authors typically get about 8 weeks to return the revision, which is normally not sent back to referees. The conditions are meant to be achievable without substantial uncertainty — this is finishing, not relitigating. So the response is short, complete, and non-defensive: do what the letter asks, document it crisply, and do not reopen settled issues.
aeri-robustness).aeri-replication-package).Dear Editor [name],
Thank you for the conditional acceptance. We have addressed each point below.
1. [Editor request, quoted/paraphrased]
Response: [what we did], now in [Section/Exhibit/Appendix].
2. ...
We confirm the manuscript remains within the word and exhibit limits, and the
replication package is prepared for the AEA Data Editor.
There is no path to relitigate a reject at AER: Insights. Reframe quickly: the short paper is often a strong fit for an AEJ field journal, or can be expanded into a fuller AER-style paper if the idea supports more. Route back to aeri-topic-selection to decide which.
【Decision】conditional accept / reject
【Punch list】each request → edit → location
【Caps after revision】words = __ (≤ 7000 − 200×__?), exhibits __/5
【Insight intact】single idea unchanged? [Y/N]
【Data editor】replication package ready? [Y/N]
【If reject】next venue (AEJ / expand to AER) → aeri-topic-selection
【Next step】submit revision within ~8-week window
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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.