MetatronResearch.org
Eight interconnected research programs investigating the geometric information layer beneath spacetime — from core framework development to active falsifiable prediction programs.
Foundation
The foundational architecture underlying all research programs
Core Model
A unified analytic system for cross-domain reality research
The Metatron Framework is a reproducible research system built around the Metatron Unit (Mt), Seven Seeds, and cross-domain mapping rules that let different measurements become comparable in one analytic space. It provides a structured methodology for investigating the proposed geometric information layer beneath spacetime.
Universal Normalization
Translating constants across all unit systems into one shared space
We build a universal normalization layer ("Rosetta") that translates constants, measurements, and datasets from different unit systems into a shared representation using the Metatron Unit (Mt / MTD). This enables direct cross-domain structure testing without unit-system artifacts.
Phase Closure & Stabilization
Phase as a controlling variable in real physical systems
We research phase as a controlling variable in real systems, using our ALT Phase Algorithm to drive phase closure through seed anchoring, separation of phase/magnitude behavior, stabilization passes, closure metrics, and iterative convergence.
Bands, Clusters, Harmonics
Cataloging physical constants across domains in MTD space
We catalog and map physical constants and measurements across domains using Metatron transforms (including MTD-style equations with φ) to test for banding, clustering, and repeatable spacing in log space — revealing hidden harmonic structure across physics.
In Progress
Current investigations with falsifiable predictions and open data
Falsifiable Targets
Turning structural gaps into testable scientific predictions
We scan mapped bands for gap intervals — missing ranges implied by the structure — and turn them into testable prediction targets, then validate against literature, datasets, and measurable constraints. Every gap becomes a falsifiable claim.
Information Geometry Below Spacetime
Time as an outcome of deeper information-geometric constraints
We develop and test a time-emergence model where time behavior is treated as an outcome of deeper information-geometric constraints — a geometric information layer beneath spacetime — expressed through a dedicated Time Emergence equation and evaluated via consistency and prediction tests.
MLF / Cross-Domain Encoding
Practical computation using seed-anchored invariants
We apply the framework to practical computation: compressing and encoding data using seed-anchored invariants and phase/magnitude structure (MLF-style folding), with benchmarks for reconstruction accuracy, noise stability, and real-world streaming/storage use-cases.
Metatron Constants Program
Mapping physical constants into a φ-based lattice
We develop and apply the Universal Harmonic Quantization model to map physical constants into a φ-based lattice (Metatron Log / MTD space), measure band structure and spacing regularities, and generate concrete, falsifiable targets for constants that should land on specific harmonic steps.
How We Work
Every result is designed for independent replication. We release data, plots, and methods alongside findings.
Translate all measurements into MTD space using the Metatron Unit — eliminating unit-system artifacts before analysis begins.
Apply cross-domain transforms to identify banding, clustering, and harmonic spacing regularities in the normalized data.
Generate falsifiable prediction targets from structural gaps and validate against literature, datasets, and measurable constraints.
Every research program releases its datasets, plots, and computational methods for independent verification.