Analysis of 34 real networks shows real interaction strengths organize functional memory at greater hierarchical depth than random weights, collapsing onto four recurrent dynamical organizations with weight geometry as the primary driver.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pre-registered multilayer network tests across seven substrates show betweenness-based hub persistence recovers expert-described logic structures better than degree, with confirmed correlations in ISCAS85 and Lean mathlib4.