OKC Mirridian Dimensional Ladder

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Authors: Devin Kornhaus
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Abstract

This document formalizes the Mirridian Dimensional Ladder (D1–D5) as a sequence of ordinal bands of intelligibility, expressed using centered Mirridian shell notation. Dimensions are treated neither as physical nor mental categories, but as invariant regimes of operational expression, applicable to any substrate. Each dimension Dk is defined by its native shell0 : 2k [ · · · ] 2k : 0with an attunement center at k : k. The ladder is explicitly constrained to D1 through D5 and is presented as a structural ordering of intelligibility rather than a cosmological or phenomenological hierarchy. A key feature of the work is the explicit separation between the dimensional ladder itself and any observer-relative or experiential reciprocity mappings. Scalar reciprocity, mirror notation, and phenomenological projections are treated as distinct mappings and are not used to define the ladder. This separation is made to prevent conflation between invariant dimensional structure and observer-dependent interpretation. The document introduces a nonlocal regression rule, whereby configurations that fail viability at a given dimensional regime regress to lower regimes until stability is recovered, after which forward traversal may resume. This positions the ladder as a constraint-filtered process rather than a one-way progression. No claims are made regarding higher dimensional ladders, physical constants, cosmology, or metaphysical ontology. The work is presented as a foundational, formal component within an ongoing Mirridian research program and as a test of the framework’s suitability for precise, programmatic articulation.Code, simulations, and full implementation available at: github.com/OldeKingCrow/Consciousness-Architecture-Holofractal-Mathematics

Fields of Study & Subjects

Paranormal Experiences and Beliefs Biofield Effects and Biophysics Earth Systems and Cosmic Evolution

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 January 2026