If that was the case you would expect a large similarity in the "unprefilled" case, but no significant difference from feeding it some of GPT5.5's CoT (the "delta" column)

DeepSeek V4 Flash and Kimi K3 follow that pattern. But Qwen answers very different from GPT when given just the question, then is suddenly very similarly to GPT when you make the start of its CoT match the start of GPT's reasoning. I don't see how that would happen without GPT CoT+answers being a significant component in how Qwen's reasoning was trained