CheckIfExist: Detecting Citation Hallucinations in the Era of AI-Generated Content
Diletta Abbonato

TL;DR
CheckIfExist is an open-source tool that rapidly verifies the authenticity of citations in academic papers by cross-referencing multiple scholarly databases, addressing the challenge of AI-generated reference hallucinations.
Contribution
It introduces a real-time, multi-source validation system for bibliographic references, filling a gap left by existing reference management and hallucination detection tools.
Findings
Provides instant verification of references against multiple databases
Supports batch processing of BibTeX entries
Delivers validated citations within seconds
Abstract
The proliferation of large language models (LLMs) in academic workflows has introduced unprecedented challenges to bibliographic integrity, particularly through reference hallucination -- the generation of plausible but non-existent citations. Recent investigations have documented the presence of AI-hallucinated citations even in papers accepted at premier machine learning conferences such as NeurIPS and ICLR, underscoring the urgency of automated verification mechanisms. This paper presents "CheckIfExist", an open-source web-based tool designed to provide immediate verification of bibliographic references through multi-source validation against CrossRef, Semantic Scholar, and OpenAlex scholarly databases. While existing reference management tools offer bibliographic organization capabilities, they do not provide real-time validation of citation authenticity. Commercial hallucination…
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Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Biomedical Text Mining and Ontologies
