Reasoning that Travels: Dissecting How Chain-of-Thought Transfers Across Models 事件

Reasoning that Travels: Dissecting How Chain-of-Thought Transfers Across Models arXiv:2605.28913v1 Announce Type: new Abstract: Large reasoning models (LRMs) often generate extensive chain-of-thought (CoT) traces before producing a final answer. As explicit textual artifacts, these traces can be passed to other models to solve the same task, enabling cross-model reasoning transfer. Yet successful transfer alone does not reveal how the provided CoT contributes to another model's answer. We study