AI RESEARCH
TRACE: Trajectory Risk-Aware Compression for Long-Horizon Agent Safety
arXiv CS.AI
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ArXi:2606.00611v1 Announce Type: new Long-horizon LLM agents produce safety evidence across long trajectories, where sparse, delayed, and compositional risk signals often escape local moderation. Existing turn-level or short-context detectors struggle to reliably retain and aggregate such evidence over extended horizons. We reframe long-horizon agent safety detection as trajectory-level evidence compression and propose Trajectory Risk-Aware Compression for Long-Horizon Agent Safety