The 4-Byte Deterministic Coordinate Matrix: A Paradigm Shift in High-Efficiency Edge Computing

This paper presents the 4-Byte Deterministic Coordinate Matrix — a novel data compression and retrieval architecture that replaces speculative sequential search operations with fixed spatial indexing. The system encodes semantic meaning as a 3-component coordinate frame [Action][Group][Intensity] transmitted as a 4- byte binary packet, achieving a measured 98% reduction in transmission data footprint compared to standard JSON representations. Furthermore, this architecture is extended to physical cyber-physical engineering pipelines via a parametric design matrix. We demonstrate a working industrial automation script engine that evaluates real-world structural load weights, vehicle limits, and component spacing arrays synchronously, outputting compiled AutoCAD vector scripts directly from localized state tables without cloud dependency. Five related provisional USPTO patent applications were filed in November 2025 establishing legal priority timelines.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-17
DOI
https://doi.org/10.5281/zenodo.20735727
Primary Topic
Graph Theory and Algorithms
Type
preprint
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preprint

The 4-Byte Deterministic Coordinate Matrix: A Paradigm Shift in High-Efficiency Edge Computing

Michael Harrison Dale
Zenodo (CERN European Organization for Nuclear Research)
Graph Theory and Algorithms
preprint

The 4-Byte Deterministic Coordinate Matrix: A Paradigm Shift in High-Efficiency Edge Computing

Michael Harrison Dale
preprint en

Abstract

This paper presents the 4-Byte Deterministic Coordinate Matrix — a novel data compression and retrieval architecture that replaces speculative sequential search operations with fixed spatial indexing. The system encodes semantic meaning as a 3-component coordinate frame [Action][Group][Intensity] transmitted as a 4- byte binary packet, achieving a measured 98% reduction in transmission data footprint compared to standard JSON representations. Furthermore, this architecture is extended to physical cyber-physical engineering pipelines via a parametric design matrix. We demonstrate a working industrial automation script engine that evaluates real-world structural load weights, vehicle limits, and component spacing arrays synchronously, outputting compiled AutoCAD vector scripts directly from localized state tables without cloud dependency. Five related provisional USPTO patent applications were filed in November 2025 establishing legal priority timelines.

Zenodo (CERN European Organization for Nuclear Research)
Graph Theory and Algorithms
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