Intuitions and Directional Shifts in Minimal Computation Cosmology
Abstract
This research genealogy traces the development of Minimal Computation Cosmology from its earliest prime-based intuitions to the separation of LAW and SOURCE, the Wonsik Reality-Renderer Architecture (WRRA), and a non-branching universe with a single accumulated history. Rather than presenting the model as a completed physical theory, the report documents how each intuition exposed a hidden assumption, missing information layer, forced input, or invalid identification. It follows the conceptual transition from prime operators, dimensional filtering, finite-window transport, and the common carrier to fifteen-channel accessibility, autonomous Hamiltonian evolution, dormant-state opening, Standard-Model phenotypes, quantum realization, and the distinction among Actual, Reality, and Record. The report also explains why known physical constants and Planck-scale values may be legitimate disclosed inputs; why LAW must remain distinct from SOURCE; why SOURCE includes not only values but dependencies, read order, addressing, and realization conditions; and why the universe need not branch into every possible outcome. In this framework, many futures may remain possible, but only one event enters the physical record at each realization. Each major intuition is linked to its related public research paper and clickable Zenodo Version DOI. The result is both a conceptual history of the model and a transparent map of its claims, failures, revisions, open boundaries, and research lineage. Keywords: Minimal Computation Cosmology, WRRA, Wonsik Reality-Renderer Architecture, LAW and SOURCE, quantum mechanics, quantum realization, Standard Model, general relativity, cosmology, finite computation, information physics, dimensional filter, prime operators, zeta function, common carrier, Hamiltonian constraint, dormant state, FLRW cosmology, rank opening, fifteen-channel carrier, Actual–Reality–Record, Born probability, single outcome, non-branching universe, open future, research genealogy, Zenodo, DOI, human–AI collaborative research.