Is LLM Reasoning Really a Chain of Thought? What a New Paper Questions
Is LLM Reasoning Really a Chain of Thought? What a New Paper Questions The paper "LLM Reasoning Is Latent, Not the Chain of Thought" was released on arXiv in April 2026 as a position paper about how we should understand reasoning in large language models. Its central claim is not that chain-of-thought is useless, but that the main object of reasoning should be treated as a latent-state trajectory inside the model rather than as the visible text it produces. This article focuses on that shift in perspective and why it matters for discussions of faithfulness, interpretability, reasoning benchmarks, and inference-time intervention. [S4] [S4] Paper overview: what it is about "LLM Reasoning Is Latent, Not the Chain of Thought" argues that research on LLM reasoning has often treated surface chain-of-thought as if it were the reasoning process itself. The paper challenges that assumption and asks what the primary object of reasoning should be once several often-confound...
