Experimental Strategies and Empirical Program Validating the Computed Universe Model
Experimental Strategies and Empirical Program Validating the Computed Universe Model
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Original abstract
This paper outlines multiple experimental and observational pathways for validating the Computed Universe (CU) model. Building on the theoretical foundation that mass-energy and curvature are consequences of discrete causal updates across a voxelated spacetime substrate, the paper identifies three primary validation fronts:Photon interference loss: The CU model predicts interference loss when delays exceed coherence durations, offering a new framework for interpreting two-slit experiments and decoherence thresholds.Simulation-based replication: A voxel-based GPU simulation is proposed to model redshift, gravitational decay, and curvature propagation under causal surface fanout conditions, enabling direct comparison with cosmological datasets such as Planck and SDSS.CMB residual analysis: The CU model anticipates anisotropic imprints and saturation boundaries detectable in Planck and WMAP datasets, supporting a reinterpretation of early-universe geometry.These strategies provide falsifiable predictions and measurable thresholds, positioning the CU model not only as a theoretical advance but as a testable, empirical framework. The paper concludes with a roadmap for layered experimental validation and model refinement.