LLM Reasoning Is Latent, Not the Chain of Thought

This position paper argues that large language model (LLM) reasoning should be studied as latent-state trajectory formation rather than faithful surface chain-of-thought (CoT). It formalizes three competing hypotheses regarding the primary object of reasoning, impacting claims about faithfulness, interpretability, and benchmarks.