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# Patent Examination

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  1. arXiv

    Patent review gets a trainable agent testbed: a 4B model holds its own against far larger general agents at prior-art search

    Patent examination asks an agent to find sparse prior art, refine queries, inspect evidence and write a novelty judgment, yet existing benchmarks mostly stop at static candidate sets. PatEx-Gym turns that process into a runnable environment: PatEx-Bench supplies 1K examination tasks, retrieval corpora of over 1M patents and 52K scientific papers, and a runtime supporting iterative search and Office Action generation. PASS synthesizes search trajectories by treating document visits as implicit relevance signals, and the 4B PatEx-Agent fine-tuned on them performs competitively against substantially larger general-purpose agents.

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