aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
Use when a model — a full theory paper's argument or the structural/conceptual scaffolding behind an empirical AER: Insights short-format manuscript — needs to be made minimal, so it carries the single insight in a few pages. Keeps only what the insight requires; it does not
Claude Code
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model --agent claude-code
Codex
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a codex -y
Cursor
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-theory-model -a windsurf -y
name: aeri-theory-model description: Use when a model — a full theory paper's argument or the structural/conceptual scaffolding behind an empirical AER: Insights short-format manuscript — needs to be made minimal, so it carries the single insight in a few pages. Keeps only what the insight requires; it does not develop a general framework.
AER: Insights rewards a **single, surprising, clean theoretical or modeling insight** delivered with **the smallest model that produces it**. The question is never "is the framework general?" but "**what is the most economical model whose one result is important and surprising?**" Generality, extensions, and robustness of the modeling go to the Supplemental Appendix; the main text states the assumptions, the one key result, and the intuition. A theory paper here is *short and pointed*, the opposite of a foundational framework paper for AER or a field journal.
| In the main text (few words) | Supplemental Appendix | |------------------------------|------------------------| | Setup + key assumptions | Proofs (if long), lemmas, regularity conditions | | The one headline result + intuition | Generalizations, extensions, alternative specifications | | The one identifying restriction / counterfactual | Robustness of the model, additional counterfactuals |
The model competes with identification, result, and discussion for the same **≤7,000-word (minus exhibits)** budget ([`aeri-writing-style`](../aeri-writing-style/SKILL.md)). A useful rule: the in-text model should be sketchable on a single page — assumptions, the one result, the intuition. If the derivation cannot be sketched that compactly, the full version belongs in the Supplemental Appendix with only the statement and intuition in-text. A theorem environment plus a one-paragraph proof sketch is often the right in-text footprint for a theory short paper.
A fictional theory paper proves that, under a mild condition, **certification fee structure is irrelevant to information transmission**. The AER: Insights version states the model in half a page (a sender, a certifier, two fee regimes), states the irrelevance result, and gives the one-paragraph intuition (the certifier's incentive constraint is unchanged by who pays). The full proof, the regularity conditions, and two generalizations go to the Supplemental Appendix. The surprise — that a policy lever people assume matters does not — is what makes it a single-insight AER: Insights paper rather than a general mechanism-design framework for a field journal.
【Case】theory-is-the-paper / model-supports-empirics 【Headline result/object】<one theorem / restriction / counterfactual> 【Minimal assumptions】<the few that matter; substantive vs technical> 【Intuition】one paragraph 【To the appendix】proofs / extensions / generalizations / robustness 【Next step】aeri-robustness
Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证
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