Citation Audit
Zero-context verification that every bibliographic entry in the paper is real...
Install
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill citation-audit -g -a claude-code -y- Repository
- wanshuiyin/Auto-claude-code-research-in-sleep18.4k
- Category
- Engineering
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Zero-context verification that every bibliographic entry in the paper is real, correctly attributed, and used in a context the cited paper actually supports, catching hallucinated authors, wrong years, fabricated venues, version mismatches, and wrong-context citations. Use when user says \"审查引用\", \"check citations\", \"citation audit\", \"verify references\", \"引用核对\", or before submission to ensure bibliography integrity.
Citation Audit
Before each reviewer slot, follow Selectable Reviewers: resolve invocation →
.aris/reviewer.json→ Claude Code default (Codex MCP) withreviewer_route.pythrough the canonical helper resolver, preserving this slot's tier, fresh contexts, source/image inputs and deterministic gates. Codex examples/pins below apply only tobackend=codex; other routes use their own first-call/reply contract. Save the route and actual returned identity; unavailable selections areREVIEW_UNAVAILABLE. Classify acceptance from actual families/completion/scope. Forward invocation reviewer/model/effort overrides to reviewer-bearing children. Generation workers are unchanged.
🔒 Do not wrap this skill in
/loop,/schedule, orCronCreate. It is verdict-bearing, it judges bibliographic correctness. Re-running that verdict on a timer adds no new signal (it changes only when the bibliography changes). Schedule the external wait that precedes it, bibliography finalized → then audit once. Seeshared-references/external-cadence.md.
Verify every \cite{...} in a paper against three independent layers:
- Existence, the cited paper actually exists at the claimed arXiv ID / DOI / venue.
- Metadata correctness, author names, year, venue, and title match canonical sources (DBLP, arXiv, ACL Anthology, Nature, OpenReview, etc.).
- Context appropriateness, the cited paper actually supports the claim it is being used to support in the manuscript.
This skill is the fourth layer of \aris{}'s evidence-and-claim assurance, complementing experiment-audit (code), result-to-claim (science verdict), and paper-claim-audit (numerical claims). Together they form a bottom-up integrity stack from raw evaluation code to manuscript bibliography.
