Wrong Votes, Right Gradients: Why Majority-Vote Rewards Track Verifiable RL.

arXiv:2610.20898v1 Announce Type: cross Abstract: Reinforcement learning with self-generated labels, such as majority vote over a model's own samples, often recovers most of the gain of training with verifiable rewards. This is puzzling from the usual prompt-l