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.
Authors
- Chelsea Enid Pinxit
Institutions
- PDL BioPharma (United States) (US)
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