A Cyber-Physical Model of the Buga Sphere: Unifying Anomalous Dynamics through a Topo-Temporal Photonic-Neural Architecture

The Buga Sphere is a physical artifact whose observed properties—including non-ejective propulsion, a drastic $\approx$8.1\,kg apparent mass change, and a sustained 100\,W endothermic signature—are mutually contradictory within any known physical or engineering framework \cite{BugaSphereDataSource}. This paper resolves this paradox by proposing a unified cyber-physical model. We demonstrate that the Sphere's anomalies are the product of two inseparable components: (1) a physical network of engineered inclusions generating a macroscopic negative-mass effect, whose behavior is governed by the \textbf{Axiom of Topo-Temporal Reality} \cite{MorcilloOSF}, and (2) an advanced **photonic-neural control system** required to manage these physics in real time. Our analysis shows that the network must perform $\sim$70 TOPS to control the $\sim10^7$ resonant agglomerates, a task feasible only for photonic hardware. We further argue that the control algorithm itself is non-classical, using principles analogous to the "Sceptic Fonction" to maintain stability by computing state-error relative to class centroids \cite{MorcilloSceptic}. The model's ability to unify the Sphere's gravitational, kinematic, and thermal behavior through this synthesis of topo-temporal physics and neuromorphic computation suggests the artifact is not merely an object, but an autonomous, physically intelligent system.