EP349: Fixing AI judges with continuous verification

Title: LLM-as-a-Verifier: A General-Purpose Verification FrameworkSource: http://arxiv.org/abs/2607.05391v1Summary:This paper formalizes solution verification as a major new scaling axis for language models, introducing a framework that computes continuous scores over logit distributions rather than discrete judgments to evaluate complex reasoning. It establishes a highly versatile, training-free mechanism that significantly boosts performance on agentic benchmarks while offering a scalable source of dense feedback for reinforcement learning.