On-policy self-distillation fails for instance-specific privileged information because the student learns an aggregated PI-free policy, while on-policy distillation is sensitive to teacher choice and loss formulation, with stop-gradient and stabilized methods as mitigations.
Self-distilled reasoner: On-policy self-distillation for large language models
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The Many Faces of On-Policy Distillation: Pitfalls, Mechanisms, and Fixes
On-policy self-distillation fails for instance-specific privileged information because the student learns an aggregated PI-free policy, while on-policy distillation is sensitive to teacher choice and loss formulation, with stop-gradient and stabilized methods as mitigations.