AI RESEARCH
Where Does Reasoning Break? Step-Level Hallucination Detection via Hidden-State Transport Geometry
arXiv CS.AI
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ArXi:2605.13772v1 Announce Type: cross Large language models hallucinate during multi-step reasoning, but most existing detectors operate at the trace level: they assign one confidence score to a full output, fail to localize the first error, and often require multiple sampled completions. We frame hallucination instead as a property of the hidden-state trajectory produced during a single forward pass. Correct reasoning moves through a stable manifold of locally coherent transitions; a first error appears as a localized excursion in transport cost away from this manifold.