Sequential Behavioral Watermarking for LLM Agents
SeqWM is a behavioral watermarking system for LLM agents that embeds signals into how agents transition between actions, not just individual tokens. It uses history-conditioned encoding and sliding-window detection to verify trajectories position-agnostically. This makes the detection robust against trajectory corruption like deletions, ensuring reliable provenance tracking while keeping agent utility high.