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Agent Safety and Reliability: Three Recent arXiv Papers on Pre-Deployment Verification, Intervention Timing, and Long-Horizon Error Tracking

Agent Safety and Reliability: Three Recent arXiv Papers on Pre-Deployment Verification, Intervention Timing, and Long-Horizon Error Tracking Three recent arXiv papers approach AI agent safety and reliability from different points in the lifecycle of an agent system. One focuses on pre-deployment assurance for enterprise agents through ontology-grounded simulation and trust certification, another examines the runtime question of when an autonomous agent should be interrupted, and the third argues that repeated failures in long-horizon systems cannot be handled well by outcome reward alone and should instead be tracked through temporal regret. Taken together, they suggest a shift from narrow benchmarking or after-the-fact monitoring toward more structured verification, intervention, and memory of failure over time. [S1][S6][S7] [S1] [S6] [S7] Introduction: paper titles and publication context All three works are recent research papers released on arXiv. "Toward Pre-Deployment Ass...

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