AI RESEARCH

Procedural Knowledge at Scale Improves Reasoning

arXiv CS.CL

ArXi:2604.01348v2 Announce Type: replace Test-time scaling has emerged as an effective way to improve language models on challenging reasoning tasks. However, most existing methods treat each problem in isolation and do not systematically reuse knowledge from prior reasoning trajectories. In particular, they underutilize procedural knowledge: how to reframe a problem, choose an approach, and verify or backtrack when needed. We