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#machine learning Preprint Sep 2026

Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale

The results invert the pre-registered prediction that most attention heads behave like Kohn-nearsighted insulators, pointing instead to critical, glassy or heavy-tailed regimes; the inversion is specific to the<= 350M scale tested, while the rank-face no-gain result held to 7-8B.

Jun-Qi Lu · 0 citations

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