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Measuring Harness-Induced Belief Divergence in Multi-Step LLM Agents
Software agents are becoming increasingly important in modern coding workflows, where they solve complex tasks through multi-step interaction with code repositories. A central component of these systems is the execution harness, which governs how the underlying LLM observes, acts on, and verifies it
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