Request for training recipe of on-policy KD

Hello! Thank you for the excellent work. I’m trying to **reproduce Table 1** from the post (https://github.com/NVIDIA-NeMo/RL/discussions/1445) and would be very grateful for any guidance. A few targeted questions:

1. Could you share the training recipe used for on-policy KD in the post? (Qwen3-32B teacher, Qwen3-4B student, how many gpus did you used?)

2. If it's sharable.. could you share training logs? I'd like to refer the training curves of losses/evaluation metrics to reproduce the experiment. It would be a great help.

3. Could you tell some practical tips for on-policy kd training? for example ..
- The sensitivity for learning rate
- KL loss type (mixed for revered, kl weight)
- The appropriate performance gap between student and teacher?
- Tricks to avoid model collapse

Sorry for many questions and thanks again for sharing the great work on open-source community!

Best regards,
Jihwan