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It is indicated that retrieval-stage filtering can reduce the candidate action space exposed to agents before execution, complementing downstream tool-use safeguards, and providing a conservative operating point for safety-critical deployments.
This report presents FinixDoc, an end-to-end agentic parsing system for real-world financial documents, with FinixDoc-VL, a 4B-scale vision-language model built on Qwen3-VL-4B, as its core parser, and introduces a Document Parsing Capability Matrix organized along two practical axes: visual quality and document scale.
TreeGraft is a multi-drafter framework in which drafters of different costs jointly construct a shared draft tree that outperforms the better of the two fixed single-drafter endpoint strategies by 15.1% on average and reaches a maximum gain of 26.6%.
This work introduces SearchOS, a system-level multi-agent framework that turns fragile, implicit search progress into explicit, persistent, and shared state, and introduces a Search Tool Middleware Harness that intercepts model and tool interactions to record grounded evidence and react to stalls or budget exhaustion.
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