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StepSafe: Learning Timely Intervention with Context-Aware Safety Reasoning

arXiv:2610.20960v1 Announce Type: new Abstract: Safety in agentic systems is inherently sequential: whether an action is safe depends on prior actions, tool outputs, information disclosures, and interactions among agents. Recent work has shifted agent safety guardrails from post-hoc trajectory-leve…

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  1. 2026-10-16 04:00 · arXiv cs.AI
    StepSafe: Learning Timely Intervention with Context-Aware Safety Reasoning

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