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Main Author: John Taylor
Format: Recurso digital
Language:English
Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19034272
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author John Taylor
author_facet John Taylor
contents <p>We prove that the Local Divergence Intensity (LDI) framework detects structure in any or-<br>dered symbolic sequence, independent of physical substrate. The universality follows from a sin-<br>gle observation: the algorithm operates on flattened sequences, where all domain-specific tensor<br>structure is erased. Two examples—quantum many-body scars and protein sequences—illustrate<br>that identical code, differing only in tensor shape, detects fundamentally different physical phe-<br>nomena through the same geometric signature. We then establish that the Tree of Continua<br>C = {0, 1}A serves as the universal receiver for all physical measurement: every quantum exper-<br>iment terminates in bit strings, and bit strings live in C.</p>
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publishDate 2026
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spellingShingle LDI Universality
John Taylor
<p>We prove that the Local Divergence Intensity (LDI) framework detects structure in any or-<br>dered symbolic sequence, independent of physical substrate. The universality follows from a sin-<br>gle observation: the algorithm operates on flattened sequences, where all domain-specific tensor<br>structure is erased. Two examples—quantum many-body scars and protein sequences—illustrate<br>that identical code, differing only in tensor shape, detects fundamentally different physical phe-<br>nomena through the same geometric signature. We then establish that the Tree of Continua<br>C = {0, 1}A serves as the universal receiver for all physical measurement: every quantum exper-<br>iment terminates in bit strings, and bit strings live in C.</p>
title LDI Universality
url https://doi.org/10.5281/zenodo.19034272