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This work presents LIDAR (LLM Identification from Decisions and Actions at Runtime), an active black-box fingerprinting method for coding-agent execution that achieves high Top-1 accuracy and MRR and outperforms four existing fingerprinting and API-auditing baselines.
NetConfArena is presented, an executable benchmark for evaluating LLM agents in closed-loop network configuration, and its findings suggest two future directions: using validated trajectories as supervision signals to improve foundation models, and designing harness mechanisms that make agent execution more reliable an...
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