This manuscript presents a theoretical and numerical framework that uniesthe micro-topological structure of a discrete 96-zone network, dened by a complex Laplacian operator L(96), with the macroscopic expansion dynamics of the Universe in an EinsteinHilbert extension. By replacing arbitrary scalar elds with a spectral renormalization ow controlled by the topological rigidity of the network, wederive a stable eective equation of state w(a) that remains compatible with con-temporary observational results from Planck, ACT, and DESI. The introduction of a topological cuto function Θkayad removes phantom-type pathologies and guarantees an asymptotic transition toward a topologically locked de Sitter attractor. Finally, we formalize the loss function Lkayad, coupled to an active digital twin for real-time gauge-parameter optimization, and prove the linear stability of the attractor through a dedicated theorem and a technical lemma establishing a spectral lower bound.
Narsi Regression is a theoretical framework that extends conventional machine learning by treating representation evolution as an explicit optimisation problem rather than an implicit consequence of parameter optimisation. The framework models a learner as a dynamic state consist…
Vector Network Idealism (VNI) v1.4: A Relational Quantum-Informational Field Theory of Emerging Spacetime and Gravitation Overview: Vector Network Idealism (VNI) v1.4 represents a major theoretical milestone in the VNI framework, formally establishing 3+1-dimensional Riemannian s…
Convergence-Based Architectures: A New Computational Paradigm for Multi-Perspective Representation Learning This research monograph introduces Convergence-Based Architectures (CBA), a general computational paradigm in which representations emerge through latent agreement among mu…
The integration of the Internet of Things and Artificial Intelligence into global supply chains presents significant opportunities for operational optimization. However, the computational intensity of traditional machine learning models frequently undermines corporate sustainabil…
This work presents the fourth and integrating paper in the Bozkurt Motor Upgrade (BMU) research series and develops a safety-first digital-twin methodology for the comparative evaluation of the complete BMU architecture. The study combines the three preceding research layers with…