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Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09448v1 Announce Type: new Abstract: As agentic systems getting adopted rapidly in safety critical applications, it is vital to measure the confidence associated with the agentic actions. In comparison to the traditional machine learning systems, agentic workflows have complex failure mo…

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  1. 2026-09-10 04:00 · arXiv cs.AI
    Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations

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