UNIVERSAL COORDINATE-SPACE ENCODING AND METAMATHEMATICAL PARADIGM: STATIC AXISAURA FRAMEWORK FOR HIGHER-ORDER ABSTRACTION IN COMPUTATIONAL ENVIRONMENTS

This paper formalizes the universal mathematical and structural foundation of the AxisAura coordinate-space computing paradigm, shifting data processing from dynamic waveform or algorithmic computation to multi-dimensional static location-based navigation. Classical computing architectures are bounded by Von Neumann memory walls and the thermodynamic overhead of active Digital Signal Processing (DSP) necessary to resolve channel noise and signal distortion. The AxisAura framework bypasses active signal computation entirely by mapping binary bitstreams into static multidimensional state spaces. Operating via the formalized "3=4" Principle, arbitrary data blocks are structured as 24-bit informational atoms, which are isomorphically mapped without collisions into a 32-bit coordinate vector comprising four mutually non-intersecting 8-bit orthogonal intervals spanning the 0–255 byte spectrum. This mathematical matrix guarantees zero address collision and allows immediate, hardware-level O(1) state resolution using passive physical components. This paper establishes the framework as an abstract, hardware-agnostic cross-platform computational layer applicable to radio-frequency channels, optical interconnects, cryogenic quantum registers, and advanced software architectures.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22296436
Primary Topic
Embedded Systems Design Techniques
Type
preprint
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preprint

UNIVERSAL COORDINATE-SPACE ENCODING AND METAMATHEMATICAL PARADIGM: STATIC AXISAURA FRAMEWORK FOR HIGHER-ORDER ABSTRACTION IN COMPUTATIONAL ENVIRONMENTS

Aleksandr Aleksandrovich Chepkasov
Zenodo (CERN European Organization for Nuclear Research)
Embedded Systems Design Techniques
preprint

UNIVERSAL COORDINATE-SPACE ENCODING AND METAMATHEMATICAL PARADIGM: STATIC AXISAURA FRAMEWORK FOR HIGHER-ORDER ABSTRACTION IN COMPUTATIONAL ENVIRONMENTS

Aleksandr Aleksandrovich Chepkasov
preprint en

Abstract

This paper formalizes the universal mathematical and structural foundation of the AxisAura coordinate-space computing paradigm, shifting data processing from dynamic waveform or algorithmic computation to multi-dimensional static location-based navigation. Classical computing architectures are bounded by Von Neumann memory walls and the thermodynamic overhead of active Digital Signal Processing (DSP) necessary to resolve channel noise and signal distortion. The AxisAura framework bypasses active signal computation entirely by mapping binary bitstreams into static multidimensional state spaces. Operating via the formalized "3=4" Principle, arbitrary data blocks are structured as 24-bit informational atoms, which are isomorphically mapped without collisions into a 32-bit coordinate vector comprising four mutually non-intersecting 8-bit orthogonal intervals spanning the 0–255 byte spectrum. This mathematical matrix guarantees zero address collision and allows immediate, hardware-level O(1) state resolution using passive physical components. This paper establishes the framework as an abstract, hardware-agnostic cross-platform computational layer applicable to radio-frequency channels, optical interconnects, cryogenic quantum registers, and advanced software architectures.

Zenodo (CERN European Organization for Nuclear Research)
Embedded Systems Design Techniques
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