AI RESEARCH
Watermarking LLM Agent Trajectories
arXiv CS.CL
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ArXi:2602.18700v2 Announce Type: replace-cross LLM agents rely heavily on high-quality trajectory data to guide their problem-solving behaviors, yet producing such data requires substantial task design, high-capacity model generation, and manual filtering. Despite the high cost of creating these datasets, existing literature has overlooked