Preprint
Aug 2026
HalluTracer: Hallucination Detection via Depth-Averaging Truth Signals
HalluTracer is introduced, a detection framework that reads and aggregates truthfulness evidence across every layer of the forward pass before the model emits any answer token, recasts hallucination detection from a layer-selection problem into a depth-aggregation problem governed by the geometric sparsity of the truthfulness signal.
Zhihao Guo, Zonghan Wu, Huan Huo et al.
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