SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators

Runtime fault propagation across shared execution layers can exhibit measurable structure rather than isolated or random failure behavior. This paper presents DIFFRACTION as a spectral-conditioning and generalized N-boundary interference model for modern runtime systems. The formal model represents observable propagation intensity as the squared magnitude of a complex superposition across runtime boundaries. Each decoder, renderer, cache, synchronization service, hardware accelerator, or application consumer contributes amplitude and phase terms shaped by runtime energy, latency, ordering, synchronization skew, and recurrence. The framework connects physical diffraction, Fourier and power-spectral analysis, graph-theoretic topology, and runtime systems. Using temporal event clustering, Welch power spectral density, spectral amplitude, coherence envelopes, interference lattices, and Voronoi-style topological partitions, the manuscript examines how standards-compliant inputs can produce corrupted derivative artifacts that become repeatedly trusted and re-rendered across shared execution substrates. DIFFRACTION does not claim that software faults are physical waves. Diffraction serves as a structural analogy and measurement framework for coherence, attenuation, amplification, recurrence, and cross-boundary propagation.