Theoretical framework outlines an ontological structure for anti-Big-Bang search, suggesting avenues for future tests.
This record presents MAV-MCC 4S+4T Ontological Framework for Anti_Big_Bang Search: Cross-Branch Residual Algebra, LOW-Shell Patterning, and an Effective Boundary Lagrangian, version v0.1-R1. The document defines an ontological and mathematical scaffold for the MAV-MCC research program, centered on a 4S+4T generative structure, cross-branch residual algebra, D/C deconstruction–construction dynamics, LOW-shell residual patterning, and an effective boundary Lagrangian. The framework treats matter, mass, frequency, decay, biological repair, astrophysical memory, and cosmological-scale anomalies as possible residual manifestations of a deeper coherence-regime structure. The paper introduces a normalized residual scale, distinguishes positive amplification from negative depletion/saturation, and formulates a cross-branch interpretation in which local deconstruction in one observable branch may correspond to complementary reconstruction in a conjugate branch. The record includes partial numerical reference anchors from public scientific domains, including particle physics, neutron lifetime measurements, muon precision measurements, top-quark mass, neutrino mass bounds, baryonic CP violation, ultra-high-energy cosmic rays, M87/HST-1 activity, cosmological tension markers, and black-hole boundary/shadow interpretation. This release is a theoretical freeze / pre-blind-test / not empirically validated framework document. It does not claim a direct observation of an antiuniverse, a completed proof of MAV-MCC, or an empirical confirmation of the Anti_Big_Bang search. Its purpose is to define a citable ontological and mathematical basis for future falsifiable tests, cross-scale residual mapping, and pre-registered MAV-MCC predictions. Included materials: Main PDF paper Markdown source Effective boundary Lagrangian note Cross-scale constants table Claim-boundary statement Related identifiers note Source table Zenodo metadata file Publication checklist CITATION.cff SHA256 manifest
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Gianni De Franco (2026) studied this question.
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