Reasoning prefills on a few open models, v1.1

A follow-up to Reasoning prefills on a few open models and Stolen Thoughts

This v1.1 reruns the reasoning-prefill experiment with GPT-5.5 Pro as the teacher.

For each problem, I generated two responses from each target model:

an ordinary, unprefilled response; and

a response starting with the first 1% of GPT-5.5 Pro's reasoning, inserted into the target model's reasoning channel.

The visible answer remained freely generated. I then measured how much of the teacher's visible answer appeared in the first 100 tokens of the target model's answer. As in the previous post, each score is the mean of unigram, bigram, and trigram source recall.…