Yana Shlyakhova

Beyond the Linear Illusion: Multi-Scale Time and Attractor Synchronization in LLMs

Current Large Language Model (LLM) architectures rely on a discrete, linear sequence of tokens (delta t = 1), leading to high computational costs and contextual decay. This work introduces a continuous-time alternative: a Multi-Scale Time Framework that maps latent state space ac...

Beyond the Linear Illusion: Multi-Scale Time and Attractor Synchronization in LLMs

Current Large Language Model (LLM) architectures rely on a discrete, linear sequence of tokens (delta t = 1), leading to high computational costs and contextual decay. This work introduces a continuous-time alternative: a Multi-Scale Time Framework that maps latent state space ac...