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The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language Models

arXiv cs.LG ↗ · 2026-07-31 Cached

This theoretical paper proposes a driven-nucleation rate law to explain capability emergence, plasticity loss, and circuit control in language models, supported by experiments on Pythia and a controlled gated-attention model.

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