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Breakdown of Local Denoising as Semantic Speciation

arXiv cs.AI / cs.LG / cs.CLby Guangkuo Liu ()1 min read1 · 1 read
AI summary · grok-4.7Summaries by Vani AI

Theory shows semantic correlations place generative models' nonlocality window inside the speciation window.

The paper relates two temporal regimes in generative models: a speciation window, when a sample commits to a semantic class, and a nonlocality window, when local context becomes insufficient. Under a common-cause hypothesis, it proves nonlocality must occur within speciation when semantic labels explain part of distant-token correlation. It also gives conditions for both windows to shrink to one limiting time as system size grows, and verifies that phase-transition behavior analytically in Gaussian mixtures.

Key facts
  • Proves the nonlocality window lies inside the speciation window
  • Assumes semantic labels explain correlations between distant tokens
  • Both windows can collapse to one limiting time as size grows
  • Behavior is verified analytically on Gaussian mixtures
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From the original article

1 min read at arxiv.org

The dynamics of generative models exhibit two apparently distinct temporal windows: a speciation window, in which a sample commits to a semantic class, and a nonlocality window, in which local context windows become insufficient for generation. Motivated by evidence of their near-concurrence in a variety of frontier models, we investigate their relationship through the spatial distribution of semantic information.

arXiv cs.AI / cs.LG / cs.CL

By Guangkuo Liu · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

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