Breaking the Absolute Zero: CL5D Hybrid Model — A First-Principles Information Recovery Framework via Dynamic Variable Zero

Modern computational systems treat absolute zero (0) asa static, non-informational state. This assumption causesirreversible information loss when numerical underflowforces values to a hard-coded 0.0. The CL5D HybridModel challenges this axiom through the principle “0 > 1when 0 is a variable,” establishing that zero is a dynamicinformation state rather than an absence. CL5D operates as a five-agent, six-block data filtering pipeline: rawdata is processed by an AI engine to extract an overfittingmetric, which seeds the Attraction (At) agent. Sequentialharmonic and permutation filtering produce Absorption(Ab) and Expansion (Ex). A Time agent (T), combiningGamma (Γ), Fractal (F), and Valence (V ), yields perregion convergence scores (Cn) across 400 discrete spatialregions on a natural 1 → 0 scale. Simulation across400 regions demonstrates that 85 regions achieve Excellent Phase I scores (Cn ∈ 0.000123, 0.20), 38 regionsenter Phase II, and 3 regions reach Phase III (Cn → 0),triggering an automated Phase IV quantum tunneling recovery loop with Wtunnel ∈ 3.60%, 19.20%, successfullyrecycling information to an excited state rather than discarding it.