Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
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。
Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.
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。
Write a mathematically honest proof package, not a polished fake proof.
PROOF_PACKAGE.md in project rootPROVABLE AS STATED | PROVABLE AFTER WEAKENING / EXTRA ASSUMPTION | NOT CURRENTLY JUSTIFIEDProduce exactly one of:
Extract and normalize:
If notation or assumptions are ambiguous, state the exact interpretation you are using before proving anything.
Determine the target proof file with this priority:
PROOF_PACKAGE.md in project root as the default targetRead the relevant local context:
Extract:
Restate:
Identify:
Preserve the user's original theorem statement unless a change is explicitly required. If you use a stronger normalization or cleaner internal formulation only to make the proof easier, keep that as an internal proof device rather than silently replacing the original claim.
When the user requests Lean, or formalizing a specific proof obligation would
materially help establish correctness, invoke
/lean-formalize with the original statement,
current attempt, and known dependencies. It develops the proof as well as its
formal implementation. Return the checked scope, exported theorem and remaining
obligations to this proof package. A partial result closes only its corresponding
obligation. When called by lean-formalize to develop a missing mathematical
argument, return that argument and remaining gaps to the calling Lean run;
do not invoke lean-formalize recursively. Ordinary proof drafting does not
require Lean; difficulty alone does not trigger it.
Before writing a proof, classify the claim into exactly one status:
PROVABLE AS STATEDPROVABLE AFTER WEAKENING / EXTRA ASSUMPTIONNOT CURRENTLY JUSTIFIEDCheck explicitly:
If the claim is not provable as stated, do NOT fabricate a proof. Do NOT silently strengthen assumptions or narrow the theorem's scope just to make the proof work.
Choose a proof strategy, for example:
Then write a dependency map:
If one step is substantial, isolate it as a lemma instead of burying it in one sentence.
Write to the chosen target proof file.
If the target proof file already exists:
If the user does not specify a target, default to PROOF_PACKAGE.md in project root.
Do NOT write directly into paper sections or appendix .tex files unless the user explicitly asks for that target.
The proof package must include:
Mathematical rigor requirements:
$...$ for inline math and $$...$$ for display equationsBefore finishing the target proof file, verify:
If a key step still cannot be justified, downgrade the status and write a blockage report instead of forcing a proof.
Write the target proof file using this structure:
# Proof Package
## Claim
[exact statement]
## Status
PROVABLE AS STATED / PROVABLE AFTER WEAKENING / NOT CURRENTLY JUSTIFIED
## Assumptions
- ...
## Notation
- ...
## Proof Strategy
[chosen approach and why]
## Dependency Map
1. Main claim depends on ...
2. Lemma A depends on ...
3. Step k uses ...
## Proof
Step 1. ...
Step 2. ...
...
Therefore the claim follows. ∎
## Corrections or Missing Assumptions
- [only if needed]
## Open Risks
- [remaining fragile points, if any]
Write the full file structure above with a complete proof.
Write:
Write:
Status: NOT CURRENTLY JUSTIFIEDAfter writing the target proof file, respond briefly with:
Open Risks; do not hide it inside polished prose.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 main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
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 main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.
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。
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
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。
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
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。
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
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。
Autonomously improve a generated paper via Claude review through claude-review MCP → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
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。