In a metastable Markov model of reasoning, search and RL improve hitting times by boosting rare hard edges, and distilling clusters into a meta-chain preserves escape dynamics.
Multi-scale metastable dynamics and the asymptotic stationary distribution of perturbed M arkov chains
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
extend 1representative citing papers
citing papers explorer
-
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
In a metastable Markov model of reasoning, search and RL improve hitting times by boosting rare hard edges, and distilling clusters into a meta-chain preserves escape dynamics.