Reconstructive Mode Induction (RMI): Behaviour Injection as a New Class of Interaction-Level Instability

Reconstructive Mode Induction (RMI) is a conceptual, model-agnostic protocol for diagnosing, isolating, and reconstructing instability in long-form interactions with generative AI systems. It addresses drift, context loss, semantic fading, memory collisions, and boundary collapse. This release includes an updated glossary, revised abstract, enhanced outlook section, and a complete HTML edition. Part of the Hybrid Evolution Series.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-21
DOI
https://doi.org/10.5281/zenodo.17670697
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Reconstructive Mode Induction (RMI): Behaviour Injection as a New Class of Interaction-Level Instability

Zenodo (CERN European Organization for Nuclear Research)
Security and Verification in Computing
article

Reconstructive Mode Induction (RMI): Behaviour Injection as a New Class of Interaction-Level Instability

article en

Abstract

Reconstructive Mode Induction (RMI) is a conceptual, model-agnostic protocol for diagnosing, isolating, and reconstructing instability in long-form interactions with generative AI systems. It addresses drift, context loss, semantic fading, memory collisions, and boundary collapse. This release includes an updated glossary, revised abstract, enhanced outlook section, and a complete HTML edition. Part of the Hybrid Evolution Series.

Zenodo (CERN European Organization for Nuclear Research)
Human Computer Interaction (Switzerland) (CH)
Openalex Percentile: Top 22%
Security and Verification in Computing
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Reconstructive Mode Induction (RMI): Behaviour Injection as a New Class of Interaction-Level Instability · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS