A Computational-Tomographic Proof of God

This paper develops an affirmative, explicitly conditional argument for a necessary intellective ground of reality by joining four components that must remain logically distinct. First, Tomographic, Coherence-Based Neural Rendering (TCNR), derived from Self Aware Networks (SAN) and Super Information Theory (SIT), supplies a mechanistic vocabulary for integrated rendering, memory, prediction, counterfactual evaluation, and action. Second, a restricted Principle of Sufficient Reason for Contingent Totalities (PSR-C) argues that the complete contingent fact cannot be its own terminal explanation. Third, an anti-collapse comparison argues that a necessary deterministic law either fixes its complete output, while a bare stochastic law supplies a measure without a sufficient contrastive reason for the realized token; reasons-responsive agency is therefore advanced as the strongest candidate selector. Its conclusions are limited to the assumptions, evidence, and testing conditions stated in the manuscript. It belongs to Micah Blumberg's governed research-paper corpus. This is a corrected preprint edition released under the Creative Commons Attribution 4.0 license.