Topological Phase Matrix Computing with Hyper-Spatial Extensions: Integer 12-Vector Lattice with Dynamic Small-World Connectivity (MOUTION Extension)

We present a deterministic spatial computing architecture extending integer-based phase lattices (VOC AI / MOUTION frameworks) with dynamically evolving non-local connections. The system operates on a 12-vector isotropic neighborhood approximating a face-centered cubic (FCC) topology in 2D projection. By introducing bounded virtual links, the lattice forms an emergent small-world network enabling rapid global information propagation (insight generation) while preserving strictly O (1) per-node complexity. The model is fully integer-based, requires no floating-point arithmetic, and deterministically converges to metastable attractors. This work establishes prior art for bounded-degree hyper-spatial phase computation, dynamic plasticity, and M-layered multiplexed topologies. This document serves as a Defensive Publication.