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Neuro-Monolithic Architecture Global Intelligence Framework: The Open Science of Topological Cognition (Stage 10.0 "Sphere Topology" Edition)

Year: 2026
Type: preprint
Abstract: This monograph presents the formal synthesis of the Neuro-Monolithic Architecture Global Intelligence Framework (NMAGIF). It establishes the theoretical and mathematical foundations for true biological scalability in artificial general intelligence by dismantling the "thin client" paradigm and replacing it with the Fractal Monolith. Package Contents: NMAGIF_Monograph_v_4_2_EN.pdf: Master monograph (150 pages, Stage 10.0 "Sphere Topology" Edition), containing the 12 core chapters and Annexe G (Empirical Telemetry & Visual Atlas, Doc ID: NMAGIF-TR-2026-ANNEX-G-V1). NMAGIF_Lean4_Verification_Release_4_2.pdf: Machine-checked Lean 4 formal verification dossier (25 theorems, 0 sorry, 0 admit) structured into a two-tier epistemic architecture: Tier-1 (11 theorems): Strictly verified discrete solver invariants over R (JKO metric positivity, monotone Burg entropy decay, discrete mass conservation) and continuous hardware epsilon-isomorphism bridge. Tier-2 (14 theorems): Axiomatic domain specifications characterizing the macroscopic non-equilibrium state machine and topological phase transitions. research-dossiers.pdf: Supplementary research dossiers indexing the companion mathematical and experimental corpus. The entire architecture runs autonomously at ~25 Hz on dedicated neural edge hardware with hardware-accelerated tensor co-processing, validated by live smoke tests, mass topology tests, and machine-checked formal proofs. Released under CC BY 4.0. Language note: The technical paper, mathematical formalisms, and architectural specifications are written entirely in English. The introductory Manifesto and Acknowledgements sections are presented in both Ukrainian and English.
DOI: 10.5281/zenodo.22479524
Language: English
Open Access status: green
OpenAlex ID: W7210289217
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