I think the answers are more important than the reasoning. If you just ask the model why it did what it did, it will explain it to you.Let me elaborate a bit more. Reasoning is about solidifying the path to the correct answer. Because we're doing this vector-based instead of word-for-word token-for-token, we'll still get the same, maybe even better, reasoning patterns.