Reproduce “Verification Allocation in Stylized LLM Agent Pipelines under Hidden Tool Degradation: A Discrete-Time Mean-Field Analysis” on OpenResearch
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About this paper
Shereen Anand, Chandramani Singh
The authors model verification allocation in a pipeline where a hidden tool regime can degrade a runner-based check. A controller uses noisy tool-health signals to choose among checks with different costs and catch rates. In one synthetic setting, adaptive allocation lowered corrupted share from 0.1825 to 0.1373 at matched modelled spend, but this is not evidence about deployed systems.
Summary by alphaXiv.
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