Claude Skills · Code Review & Testing
Citation Forensics
wanshuiyin/Anti-AutoresearchCitation-integrity forensics: is every reference real, correctly attributed, and used in a context the cited work actually supports? Catches hallucinated references (no paper at the claimed arXiv id/DOI/venue, fabricated authors/year), metadata drift (wrong year/venue/version), and wrong-context citations (a real paper cited for a claim it never makes — or argues against). A hot zone for machine-generated papers. Decidable at L0 (text + canonical sources). Span-anchored to the evidence ledger (claims.json); the executor gathers canonical facts (DBLP / arXiv / DOI), then one FRESH cross-model t...
At a glance
This skill is for Code Review & Testing and helps you verify citations are real and accurate, detect hallucinated references, and catch misattributed papers.
git clone --depth 1 https://github.com/wanshuiyin/Anti-Autoresearch
cp -r Anti-Autoresearch/skills/citation-forensics ~/.claude/skills/citation-forensics
Setup, runtime and requirements describe wanshuiyin/Anti-Autoresearch, the repo this skill ships in.
citationsfact-checkingResearch IntegrityAcademic Fraud Detectionarxivdoi
Also in wanshuiyin/Anti-Autoresearch
View the repoSynthesize the single strongest EVIDENCE-BOUND reviewer case to reject a paper, built ONLY from the evidence ledger (claims.json) + the othe...
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Audit whether a paper's baseline comparisons are COMPLETE, FAIR, and SIGNIFICANT: a required recent SOTA baseline is missing while 'best/SOT...
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Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family...
Build the deterministic evidence ledger (artifact_manifest.json + claims.json) that every other Anti-Autoresearch auditor reads. One pass in...
Audit experiment integrity against the evidence ledger. At L2 (repo + result files present) a fresh cross-model reviewer reads the eval code...
MEMO-ONLY prior-work overlap advisory: surfaces the two ADVISORY taxonomy signals neither a tool nor a model can decide from the paper alone...
Checkable-ish surface presentation signals a reviewer notices first — duplicate/near-identical tables, leftover pipeline/template strings, t...
Family-G proof & derivation integrity forensics: does a THIRD PARTY's written proof/derivation actually establish its theorem, or does it sk...
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