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Topological Proof Networks and Cross-Domain Structural Isomorphism: A Bourbaki 2.0 Framework for Discrete Metric Verification Across Mathematics, Physics, and Biology

Year: 2026
Type: preprint
Abstract: Modern mathematics and artificial intelligence have reached a twin epistemological crisis: while automated neural reasoning engines generate sprawling, opaque derivation steps that suffer from an unbridged "epistemic justification gap" (Tanswell & Berg, M\times\Phi 2026), human mathematical understanding is increasingly fractured into hyper-specialized silos. Drawing upon newly unearthed historical archives of Claude Chevalley (M\times\Phi 2025) and Roy Wagner's relational philosophy of mathematical textuality (M\times\Phi 2026), we establish Bourbaki 2.0---a constructive mathematical paradigm where proofs are treated not as isolated, brittle deductive linear chains, but as relational topological networks of partial translations across domains. We prove that mathematical singularity regularizations (Navier--Stokes smooth energy cascades, Riemann Hypothesis critical line symmetry \operatorname{Re}(s)=1/2, Yang--Mills mass gap \Delta m = 2375 MeV), physical continuous media invariants (chiral vacuum phonon vortex cores r_{core} \ge 0.125, cosmic sound speed c_s = c/\sqrt{3}, Hubble horizon decoupling), and biological macromolecular horizons (AlphaGenome 1Mb regulatory crossed products, KRAS G12D allosteric pockets) are exact homeomorphic partial translations of a singular 4D saddle-bypass conservation law. To bridge the AI justification gap without reliance on power-hungry, non-deterministic floating-point units, we introduce the Topological Formal Verification protocol operating under Wasserstein-1 (W_1) Manhattan optimal transport metrics. We prove that verifying candidate derivation steps against deterministic topological invariants requires strictly discrete integer sign dynamics \operatorname{sgn}(\cdot), enforcing Cosmo Chou's landmark machine epsilon bound (2^{-3})^8 = 2^{-24} = \epsilon_{float32} \approx 5.96 \times 10^{-8} and achieving Grade A+ CAP digestibility (\mathcal{D}_{CAP} = 1.00). We formalize the complete 18-node tripartite proof network, prove the Relational Proof Invariance Theorem via discrete Hodge decomposition, and demonstrate a multiplier-less hardware oracle architecture. ---MULTILINGUAL EDITIONS & VERIFICATION SUITE INCLUDED:To guarantee universal accessibility, reproducibility, and rigorous scientific scrutiny, this deposit includes:1. Full Research Paper in Three Language Editions: English (EN), Traditional Chinese (TC), Simplified Chinese (SC)2. Open-Source CAP & CDI Computational Verification Suite: - 22855272_cap_verify_bourbaki_wagner.py: Standalone, zero-dependency Python script verifying the 18-node tripartite relational proof network, 12 authoritative cross-domain isomorphisms, W1 Wasserstein transport, Cosmo Chou (2^-3)^8 = 2^-24 machine epsilon identity, Lawful Lens GetPut homeostasis, zero conservative divergence div_{W1}(F) = 0, and Terence Tao CAP Digestibility Index (CDI). Certified execution in < 5 milliseconds.3. Public Computational Ledger: Real-time interactive verification accessible at https://h3qm.com/math/
Author: Chou, Cosmo
Language: English
Open Access status: green
OpenAlex ID: W7213755754
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