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Auditing Tool Traces in Agentic LLMs: Source Localization and Counterfactual Dependence Testing

Liu, Junhao et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-language
Agentic LLMs increasingly support scientific prediction by grounding decisions in external evidence. In biology, they promise accurate, interpretable predictions for important problems by integrating complex experimental and computational evidence. However, serialized tool results can contain hidden
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