AI RESEARCH
AgentMark: Utility-Preserving Behavioral Watermarking for Agents
arXiv CS.AI
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ArXi:2601.03294v2 Announce Type: replace-cross LLM-based agents are increasingly deployed to autonomously solve complex tasks, raising urgent needs for IP protection and regulatory provenance. While content watermarking effectively attributes LLM-generated outputs, it fails to directly identify the high-level planning behaviors (e.g., tool and subgoal choices) that govern multi-step execution.