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

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-06
DOI
https://doi.org/10.5281/zenodo.22479524
Primary Topic
Cognitive Computing and Networks
Type
preprint
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preprint

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

Valéry Kourbanov
Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
preprint

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

Valéry Kourbanov
preprint en

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.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Cognitive Computing and Networks
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