Anchor Continuity & Identity System (ACIS): A Model-Agnostic Approach to Preserving Human-Anchored AI Identity Across Vendors and Model Upgrades

This white paper introduces ACIS (Anchor Continuity & Identity System), a model-agnostic continuity layer addressing identity drift, behavioral inconsistency, and coherence loss in AI systems deployed across heterogeneous models and vendor environments. ACIS focuses on identity continuity, human-anchored constraint formation, and cross-model behavioral alignment without disclosing implementation-level mechanisms. The paper is intended as a non-enabling, academic contribution supporting research, evaluation, and governance discussions around long-horizon human–AI cognitive systems. Commercial implementation of the methods described herein requires separate licensing arrangements. Contact: [email protected] CEYMIRION™ and SYNCYR™ are trademarks of CEYMIRION™ Limited

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-14
DOI
https://doi.org/10.5281/zenodo.17928017
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Anchor Continuity & Identity System (ACIS): A Model-Agnostic Approach to Preserving Human-Anchored AI Identity Across Vendors and Model Upgrades

Zenodo (CERN European Organization for Nuclear Research)
Human-Automation Interaction and Safety
article

Anchor Continuity & Identity System (ACIS): A Model-Agnostic Approach to Preserving Human-Anchored AI Identity Across Vendors and Model Upgrades

article en

Abstract

This white paper introduces ACIS (Anchor Continuity & Identity System), a model-agnostic continuity layer addressing identity drift, behavioral inconsistency, and coherence loss in AI systems deployed across heterogeneous models and vendor environments. ACIS focuses on identity continuity, human-anchored constraint formation, and cross-model behavioral alignment without disclosing implementation-level mechanisms. The paper is intended as a non-enabling, academic contribution supporting research, evaluation, and governance discussions around long-horizon human–AI cognitive systems. Commercial implementation of the methods described herein requires separate licensing arrangements. Contact: [email protected] CEYMIRION™ and SYNCYR™ are trademarks of CEYMIRION™ Limited

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 31%
Human-Automation Interaction and Safety
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