SAF-OPD Stable Advantage Fusion for RL Distillation

The SAF-OPD framework prevents entropy collapse in reinforcement learning by resolving magnitude and temporal mismatches during the fusion of RLVR and on-policy distillation advantages. It enables students to leverage both response-level rewards and dense teacher supervision without being trapped by teacher quality.