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Dekun Yang

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#machine learning Preprint Oct 2026

Spectral Indistinguishability and Learning-Curve Identifiability in Quadratic Networks

Motivated by information-organization sculpting, we study spectral summaries and scalar learning curves in centered quadratic networks. We construct analytic positive input densities with Gaussian one- and two-coordinate marginals. Their complete fourth-moment operators are orthogonally intertwined by a map fixing the...

De-Kun Yang · 0 citations
#artificial intelligence Preprint Jul 2026

Where Grokking Happens: Distributed Utility and Fourier Recoding Without a Module Switch

Where in a Transformer is the change from memorization to generalization functionally expressed? We introduce Transition Games--behavior-aligned exact activation games with paired non-generalizing controls--and find distributed utility gain with a prospective block-0 attention bias; selected degree-two modes account fo...

De-Kun Yang · 0 citations
Preprint Aug 2026

A Calibrated Test of Internal Action Maps: State Signals Without Global Affine Closure

This work test whether action maps fitted without a source reach its natural post-action activation and compose and validate the geometric branch on a known affine S_5 carrier: all held-source folds pass one-step, composition, inverse, decoding, and commutativity gates.

De-Kun Yang · 0 citations

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