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Grounding policy optimization in canonical disease graphs allows a compact 9B model to outperform GPT-5.5 on long-tail clinical diagnosis, revealing that controlled evidence routing matters far more than raw retrieval volume.
Benign execution trajectories can leak proprietary agent skills, enabling reconstruction of high-value procedures without direct access to their underlying artifacts.
