Adversarial Speculative Reasoning Improves Long Horizon Agents

Researchers propose training a speculative-decoding draft model to disagree at selected agent decisions, so the target model writes those decisions at the least numerically noisy position in a verification block. The target and exact verification rule stay unchanged.