DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models
DASH maps the gap between each local distillation signal and the sequence-level mean to an adaptive propagation gate and then uses these gates to control backward multi-step aggregation and improves over matched vanilla OPSD reruns on every benchmark at all three model scales.