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arXiv — cs.AI

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Fast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses

Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text is relevant, whether an input carries an injection. System-1 decision models answer such questions in a single forward pass with class probabilities,…

arXiv — cs.AIBy: Jiawei LiOctober 5, 2026 (Oct 5)
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AI Summary & Key Takeaways

  • Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text is relevant, whether an input carries an injection
  • System-1 decision models answer such questions in a single forward pass with class probabilities,…
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Fast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses

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