Bridged Self-Distillation unifies on-policy learning from any teacher
A self-teacher scores the student’s own rollouts after an external teacher supplies only a reasoning trace.
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A self-teacher scores the student’s own rollouts after an external teacher supplies only a reasoning trace.
Research shows on-policy expert correction, not imitation fine-tuning, lets weaker agent models catch up under evolved harnesses.
Research shows imitation of expert trajectories breaks weaker models' harness fit, while on-policy expert correction preserves gains across seven enterprise agent tasks.
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