EP310: Why AI Breaks While Fixing Itself

Title: Denoising Iterative Self-Correction: Structured Verification Loops for Reliable LLM ReasoningSource: http://arxiv.org/abs/2606.21724v1Summary:This work introduces a novel test-time reasoning primitive by formulating LLM self-correction as an iterative denoising process across structured verify-judge-correct loops. By utilizing a binary judgment gate and role allocation, it achieves a significant reasoning breakthrough that mitigates self-confirmation bias and prevents the degradation of already-correct answers.