arXiv:2610.32092v1 Announce Type: new Abstract: Verifying the provenance of autonomous LLM agents is a critical security challenge. Existing semantic attribution is easily obfuscated by system prompts, while active watermarking conflicts with schema-constrained tool generation. We propose AgentTrace, an active framework that identifies the foundation model behind a black-box agent via observable execution traces.
AgentTrace: Execution-Level Fingerprinting of Black-Box LLM Agents
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