AUTOMATION
Automated Citation Verification for Academic Content
Detect fabricated citations by resolving identifiers and comparing metadata against source records
Updated: 6/7/2026
Difficulty
medium
Time
15m
Use Case
Academic writing, literature review, publication verification
Popularity
0 views
About this automation
Scholar Sidekick verifies citations by resolving identifiers (DOI, PMID, arXiv ID) and comparing the returned metadata title against the claimed citation. Catches the pattern of real identifiers attached to wrong papers, which is a common AI hallucination failure in academic publishing.
How to implement
1
Extract citation identifier from reference (DOI, PMID, or arXiv ID)
2
Resolve identifier via upstream API to retrieve actual paper metadata
3
Compare returned title with claimed title in citation
4
Flag mismatches as fabricated citations
5
Optional: Run LLM screening on borderline cases for higher precision