Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.
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Verification guide for citations added during rebuttal writing. Use when Stage 2 responses introduce new references, when the Area Chair asks about a cited paper, or when any citation in the rebuttal might have been AI-generated. Prevents the serious credibility damage of fabricated references in reviewer-facing documents.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
RebuttalStudio Utility — Stage 2 / Stage 4 Apply this skill whenever a Stage 2 draft or Stage 4 follow-up response introduces a new reference — especially when the reference was suggested by an LLM. A single fabricated citation in a rebuttal can undermine the entire response's credibility.
Verification principles and workflow for citations added during the rebuttal writing process.
Rebuttal citations are uniquely dangerous compared to paper citations:
Core rule: Never add a citation to a rebuttal response unless you have personally verified it exists via search.
Verify any citation that was:
Existing citations from the paper itself generally do not need re-verification — but do confirm the claim you are citing actually appears in that work.
Use a reliable academic search engine:
Recommended search order:
1. Google Scholar (scholar.google.com)
2. Semantic Scholar (semanticscholar.org)
3. arXiv (arxiv.org) — for preprints
4. ACL Anthology (aclanthology.org) — for NLP/ACL papers
5. OpenReview (openreview.net) — for ICLR/ICML papers
Search query pattern:
"[Paper title keywords]" [first author last name] [approximate year]
Verify the paper exists by confirming:
When citing a specific finding, do not trust your memory of the paper's conclusion.
Format for use in rebuttal prose (no BibTeX needed in most rebuttal portals):
[Author et al., Year, "Title", Venue]
e.g.: [Chen et al., 2023, "LoRA: Low-Rank Adaptation of Large Language Models", ICLR]
If after searching you cannot confirm the paper exists:
Option A — Drop the citation If the claim can stand without it, remove the reference.
Option B — Hedge the claim "Prior work on [topic] (e.g., [general area]) suggests…" without citing a specific paper.
Option C — Mark for human verification If working with an LLM and you want to flag it:
[CITATION NEEDED — verify before submission: "[paper title you were trying to cite]"]
Never submit a rebuttal with a citation you have not verified, even if it sounds plausible.
| Citation Source | Risk Level | Action |
|---|---|---|
| LLM-suggested reference | Very high | Always verify before including |
| Recalled from memory | Medium | Verify title and year |
| Copied from reviewer comment | Medium | Verify existence; reviewer may be wrong |
| Already in paper's reference list | Low | Confirm the claim is in that paper |
| Found via search in last 24h | Low | Cross-check author/venue |
Adapted from Claude Scholar's citation-verification skill for the rebuttal context. Original: https://github.com/Galaxy-Dawn/claude-scholar/blob/main/skills/citation-verification/SKILL.md
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Summarize extracted paper text into concise Markdown memory for later Stage 2 and Stage 4 background use, with fixed section headings and no fabricated claims.
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Systematic quality check for a completed rebuttal document before submission. Use after Stage 3 document compilation or after Stage 5 final remarks writing to verify completeness, tone, factual accuracy, and structural integrity. Catches common rebuttal errors before they reach reviewers.
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Systematic review response strategy guide for RebuttalStudio. Use when developing response strategies for reviewer comments, deciding how to classify concerns, or choosing between Accept/Defend/Clarify/Experiment approaches at any stage of the rebuttal pipeline.
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Multi-stage rebuttal analysis skill for RebuttalStudio. Use when organizing reviewer comments into stage-specific conference workflows, including stage1 breakdown, stage2 refinement, stage4 multi-round follow-up, and stage5 final remarks generation.
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Break down full ARR (ACL Rolling Review) reviewer responses into structured rebuttal units. Use when input contains ARR reviewer fields (Paper Summary, Strengths, Weaknesses, Comments/Suggestions) and numeric scores (Confidence, Soundness, Excitement, Overall Assessment, Reproducibility). Splits weaknesses and comments/suggestions into granular response items while preserving original wording for quoted issues.
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Base template for Stage1 reviewer-comment breakdown. Use when creating or extending conference-specific Stage1 skills (for example ICLR, ICML, NeurIPS, ACL) so shared extraction, splitting, and response-mapping logic stays consistent.
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