新皇极经世 (Neo Huangji Jingshi): Structural Priors from Ancient Chinese Mathematics — Twelve Laws Verified Through Deep Learning (v5)

v5 update: Added Extended Data Table 1 (TCGA 20-cancer pan-cancer sweep with five-element prior), per-edge bootstrap validation, and updated Discussion. Seven ancient Chinese texts contain mathematical structures that, when translated into neural network architectures, improve performance. 12 laws, 24 experiments, 12/12 validated. Includes Nature-format manuscript (v5, 27 refs, 5 figures), 24 reproducible experiment scripts, 4 reusable Python modules (daoshu), cover letter, reporting summary, and suggested reviewers.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20717663
Primary Topic
History and Theory of Mathematics
Type
preprint
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preprint

新皇极经世 (Neo Huangji Jingshi): Structural Priors from Ancient Chinese Mathematics — Twelve Laws Verified Through Deep Learning (v5)

Shuaidong Gao
Zenodo (CERN European Organization for Nuclear Research)
History and Theory of Mathematics
preprint

新皇极经世 (Neo Huangji Jingshi): Structural Priors from Ancient Chinese Mathematics — Twelve Laws Verified Through Deep Learning (v5)

Shuaidong Gao
preprint en

Abstract

v5 update: Added Extended Data Table 1 (TCGA 20-cancer pan-cancer sweep with five-element prior), per-edge bootstrap validation, and updated Discussion. Seven ancient Chinese texts contain mathematical structures that, when translated into neural network architectures, improve performance. 12 laws, 24 experiments, 12/12 validated. Includes Nature-format manuscript (v5, 27 refs, 5 figures), 24 reproducible experiment scripts, 4 reusable Python modules (daoshu), cover letter, reporting summary, and suggested reviewers.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
History and Theory of Mathematics
DOIOpen Access PDFOpenAlex
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新皇极经世 (Neo Huangji Jingshi): Structural Priors from Ancient Chinese Mathematics — Twelve Laws Verified Through Deep Learning (v5) — Shuaidong Gao · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS