Can AI Spot a false Citation?

A multi-stage automated pipeline dissects academic citations, employing document processing, vector embeddings, and hybrid retrieval-combining semantic similarity with BM25 keyword matching-before subjecting results to neural reranking via FlashRank and ultimately, LLM-based analysis, to deliver not merely a classification, but supporting evidence, detailed reasoning, and a confidence score for each verification.

A new framework leverages the power of artificial intelligence to automatically verify research citations by deeply analyzing the supporting evidence within full-text sources.