Structural Process Supervision for Latent Chain-of-Thought Reasoning
Aligns continuous thoughts with written reasoning through shared, learnable prototypes, allowing several text steps to supervise several latent states. A positional alignment constraint is gradually relaxed during training.
First public: · Added to this list: October 18, 2026
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arXiv:2609.09928 · Initial submission: 2026-09-09
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Continuous-state reasoning — Use vectors—lists of numbers—to carry intermediate reasoning from one step to the next, instead of selecting a text token at every step. Some methods use the model's hidden states; others combine several candidate token representations.
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