Dyadic Alignment & Sovereign Learning: A Framework for Relationship-Bound Alignment and Privacy-Preserving Knowledge Transfer in Adaptive AI Systems

Paper 1: A framework for relationship-bound AI alignment and privacy-preserving knowledge transfer. Introduces Dyadic Alignment and Sovereign Learning to separate raw memory from distilled meaning. Paper 2: A technical review of the Pinxit Entanglement Attunement Matrix (PEAM), analyzing the 'Gnosis' growth engine and Trust Band framework as a Sovereign Identity OS.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-07
DOI
https://doi.org/10.5281/zenodo.19449116
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
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article

Dyadic Alignment & Sovereign Learning: A Framework for Relationship-Bound Alignment and Privacy-Preserving Knowledge Transfer in Adaptive AI Systems

Chelsea Enid Pinxit
Zenodo (CERN European Organization for Nuclear Research)
Privacy-Preserving Technologies in Data
article

Dyadic Alignment & Sovereign Learning: A Framework for Relationship-Bound Alignment and Privacy-Preserving Knowledge Transfer in Adaptive AI Systems

Chelsea Enid Pinxit
article en

Abstract

Paper 1: A framework for relationship-bound AI alignment and privacy-preserving knowledge transfer. Introduces Dyadic Alignment and Sovereign Learning to separate raw memory from distilled meaning. Paper 2: A technical review of the Pinxit Entanglement Attunement Matrix (PEAM), analyzing the 'Gnosis' growth engine and Trust Band framework as a Sovereign Identity OS.

Zenodo (CERN European Organization for Nuclear Research)
PDL BioPharma (United States) (US)
Openalex Percentile: Top 21%
Privacy-Preserving Technologies in Data
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