Where RL Breaks: Localizing and Repairing Failures via Targeted Continued Pretraining.

arXiv:2610.25836v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is widely used to improve reasoning in language models, yet growing evidence suggests that it mostly sharpens what the base model can already do. This raise