GeoFaith proposes a spatio-temporal framework leveraging latent geometry and entropy to diagnose faithful CoT, with a bootstrapped 20k-sample detector and faithfulness-aware RL that yields shorter accurate chains.
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LLM reasoning is primarily mediated by latent-state trajectories rather than by explicit surface chain-of-thought outputs.
citing papers explorer
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GeoFaith: A Spatio-Temporal Dual View of Faithful Chain-of-Thought
GeoFaith proposes a spatio-temporal framework leveraging latent geometry and entropy to diagnose faithful CoT, with a bootstrapped 20k-sample detector and faithfulness-aware RL that yields shorter accurate chains.
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LLM Reasoning Is Latent, Not the Chain of Thought
LLM reasoning is primarily mediated by latent-state trajectories rather than by explicit surface chain-of-thought outputs.