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I. Matveev

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#artificial intelligence Preprint Sep 2026

Policy as Code: A Coroutine-Bridge Harness for Fast-Reasoning Reliability on CAR-bench

CAR-bench evaluates whether tool-using agents stay reliable under real-world uncertainty, executing every tool inside the evaluator so that each tool-result exchange is a separate agent round-trip. A conventional next-action agent can batch parallel tool calls, but a chain of dependent calls costs it one model call per...

I. Matveev · 0 citations

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