# Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs

Source: https://arxiv.org/abs/2608.00605
Published: 2026-08-01
Status: unreviewed source report

## Source excerpt (up to 25 words)

> Diffusion large language models (dLLMs) have emerged as a promising alternative to autoregressive LLMs, offering efficient generation through block-wise progressive unmasking. However, their strong general-purpose

## Review question

Check the benchmark version, sampling budget, data contamination controls, human interventions and proof-review method. A final answer or benchmark score is not evidence that every reasoning step is valid.

No independent proof check or claim of peer review.