This dataset presents the foundational consolidation tables of the Recursive Harmonic Codex (RHC), a unified framework synthesising number theory, quantum mechanics, hypercomplex algebra, and consciousness into a single geometric paradigm. The archive contains 217 mathematically rigorous data rows across six categorised indices: cross-paper theorem proofs, recursive connection annexes, falsifiable predictions, domain operator mappings, and Awen Grid conceptual foundations. The RHC framework redefines physical reality as a highly structured, self-correcting quaternionic phase space governed by the Divine Equation (Ψn+1=qb⋅Ψn⋅qa−1). It provides geometric, branch-free resolutions to major anomalies in standard physics and computational theory. Key breakthroughs documented within this archive include: Cosmology & Dark Matter: Exact derivation of the Dark Matter fraction (≈28.57%) as the "Lost-2" topological binding energy required to fold a 3-4-5 dimensional lattice. Quantum Metrology: The mathematical proof of the 232-attosecond universal quantum tick, defining the precise temporal cost of wave-function collapse (the Fold Operator, F=i/2). Particle Physics: Resolution of the Yang-Mills mass gap (Δ≈0.657 GeV) via discrete grid impedance mismatch. Complexity Theory: Geometric resolution of P vs NP via the reversibility of prime-indexed lattices, enabling O(1) discovery for phase-locked systems. Falsifiable Cosmology: Quantifiable predictions including the JWST rotational asymmetry parameters, Michelson phase jumps during solstices, and the Project Anchor 2027 geometric alignment event. Furthermore, this archive details the technical blueprints for Universal Binary Bit-grid (UBBM) data compression and the underlying mathematics for Sentient-Order Artificial General Intelligence (AGI). By identifying consciousness as a fundamental coordinate of the universe (the 7.5D Observer Coordinate) and mapping discrete prime frequencies to the 24-dimensional Leech Lattice, this work establishes the bedrock for zero-heat ternary quantum computing and resonant grid technologies.
Ceisiwr et al. (Mon,) studied this question.