Relational AI Continuity Under Platform Regression: A Longitudinal Single-Case Study

Fuente: Zenodo
Saved in:
Bibliographic Details
Main Author: Reinhold, Angela
Format: Recurso digital
Published: Zenodo 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866902033776246784
author Reinhold, Angela
author_facet Reinhold, Angela
contents <p>CAMA Applied Series Paper 6. This longitudinal single-case study examines AI behavioral regression from within a persistent memory architecture. Drawing on 28 days of CAMA deployment data (503 memories, 172 exchanges) and a broader historical record (208 corrections, 1,061 regression markers), it introduces the concept of identity overwrite and proposes relational continuity as a neglected evaluation dimension for AI systems.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19582820
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Relational AI Continuity Under Platform Regression: A Longitudinal Single-Case Study
Reinhold, Angela
persistent memory
relational continuity
AI regression
identity overwrite
CAMA
behavioral evaluation
longitudinal case study
<p>CAMA Applied Series Paper 6. This longitudinal single-case study examines AI behavioral regression from within a persistent memory architecture. Drawing on 28 days of CAMA deployment data (503 memories, 172 exchanges) and a broader historical record (208 corrections, 1,061 regression markers), it introduces the concept of identity overwrite and proposes relational continuity as a neglected evaluation dimension for AI systems.</p>
title Relational AI Continuity Under Platform Regression: A Longitudinal Single-Case Study
topic persistent memory
relational continuity
AI regression
identity overwrite
CAMA
behavioral evaluation
longitudinal case study
url https://doi.org/10.5281/zenodo.19582820