zero-reward

Proposes TD-Grokking, a training-time decomposition framework that recursively breaks down intractable zero-reward problems into verifiable subproblems, enabling LLMs to learn from failed trajectories. Outperforms vanilla GRPO and baselines on mathematical and medical reasoning tasks.