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#machine learning Preprint Sep 2026

PROACT-Agent: Progressive Runtime Oversight and Active Circuit-breaking for Real-Time Safety

The transition from Large Language Models (LLMs) to agents shifts safety stakes from toxic text to irreversible environmental harm. While current defenses remain largely retrospective, proactive runtime intervention is bottlenecked by the lack of large-scale, causally-consistent data. We propose PROACT-Agent, a framewo...

Ding Jia, Wei Liu, Xiang-Long Du et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Recoverability as a System Primitive for Long-Horizon AI Agents

This work introduces recoverability as a system primitive that makes reuse an explicit decision: select a supported starting point and a permitted recovery action, or withhold automatic continuation, and establishes why recovery decisions need their own evaluation.

Zhi-Hui Zhang, Wei Liu · 0 citations

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