State-Dependent Representation Geometry for Computation, Coding, Sequential Prediction, and Continual Memory

This paper introduces state-dependent representation geometry as a conditional modelling framework in which representation geometry is regenerated from causal history and treated as an active computational variable. It organizes Function-Defined Radix Systems, the SafeGear modular gearbox, HyperMorphic Threshold Coding, and HyperMorphic SafeMemory under a shared formal structure. The manuscript reports narrow empirical witnesses on dpkg event-chain prediction, physical residual-regime modelling, and continual-memory mechanism isolation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-02
DOI
https://doi.org/10.5281/zenodo.21128620
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
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article

State-Dependent Representation Geometry for Computation, Coding, Sequential Prediction, and Continual Memory

Shaun Paul Gerrard
Zenodo (CERN European Organization for Nuclear Research)
Ferroelectric and Negative Capacitance Devices
article

State-Dependent Representation Geometry for Computation, Coding, Sequential Prediction, and Continual Memory

Shaun Paul Gerrard
article en

Abstract

This paper introduces state-dependent representation geometry as a conditional modelling framework in which representation geometry is regenerated from causal history and treated as an active computational variable. It organizes Function-Defined Radix Systems, the SafeGear modular gearbox, HyperMorphic Threshold Coding, and HyperMorphic SafeMemory under a shared formal structure. The manuscript reports narrow empirical witnesses on dpkg event-chain prediction, physical residual-regime modelling, and continual-memory mechanism isolation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Ferroelectric and Negative Capacitance Devices
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