CITETRACE dataset and evaluation framework show 30.6% of citations distort sources and 27.1% use domain-inappropriate sources in search-augmented LLMs, with provider differences explaining 88-96% of quality variance.
Yash Saxena, Raviteja Bommireddy, Ankur Padia, and Manas Gaur
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A new framework parses and evaluates citations in LLM deep research reports across link validity, relevance, and factuality, finding 94%+ link success but only 39-77% factual accuracy.
citing papers explorer
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Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs
CITETRACE dataset and evaluation framework show 30.6% of citations distort sources and 27.1% use domain-inappropriate sources in search-augmented LLMs, with provider differences explaining 88-96% of quality variance.
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Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents
A new framework parses and evaluates citations in LLM deep research reports across link validity, relevance, and factuality, finding 94%+ link success but only 39-77% factual accuracy.