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Analysis: LLM hallucinations in the wild: Large-scale evidence from non-existent citations

2026-06-08

Abstract excerpt

<title>Abstract</title> <p>Large language models (LLMs) are known to generate plausible but false information across a wide range of contexts, yet the real-world magnitude and consequences of this hallucination problem remain poorly understood. Here we leverage a uniquely verifiable object — scientific citations — to audit 111 million references across 2.5 million papers in arXiv, bioRxiv, SSRN, and PubMed Centra...

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Literature Corpus work
a8da169b-6cf8-5b9b-a948-cdc5a7607d8f
DOI
10.21203/rs.3.rs-9637059/v1
Open publication

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Semantic proximity does not establish scientific evidence.

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Analysis: LLM hallucinations in the wild: Large-scale evidence from non-existent citationsDOI 10.21203/rs.3.rs-9637059/v1
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