Spectral Causal Theory: derivations, verification, analysis, and publications.
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Updated
Apr 11, 2026 - Python
Spectral Causal Theory: derivations, verification, analysis, and publications.
Adèlic spectral frameworks for computational number theory: exploring exact discrete bounds for pattern avoidance via CP-SAT, and quantum-physical realizations of automorphic L-function zeros.
Operator-geometric framework for metabolic identifiability and metabolite panel design under partial observability using Human-GEM, proteomics-informed reaction weighting, and spectral geometry.
Falsification-first validation harness for finite-lattice spectral toy geometries. Current case study: S³×S¹ Anderson localization (N ≤ 896). Computational validation only — no physics claims.
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