Representational Quarantine and Semantic Vaccination (RQSV)
Representational Quarantine and Semantic Vaccination (RQSV) is a controlled causal research framework designed to evaluate whether weight-level safety interventions applied to a parent large language model influence the recurrence of specified safety failures in descendant models produced through standardized adaptation procedures. The framework reframes safety alignment as a lineage-level causal problem, treating the parent model as the site of intervention and independently adapted descendants as the units of outcome assessment. A structured literature audit of eighteen related works positions RQSV within existing research on safety degradation during fine-tuning, safety restoration, model merging, and activation steering while arguing that its randomized parent-to-descendant experimental design occupies a distinct methodological niche. The document specifies a three-branch experimental architecture comprising treated, sham-treated, and reference conditions; defines behavioral safety markers; outlines evaluation protocols and pilot-study requirements; and establishes explicit go/no-go criteria for empirical deployment. The work is presented as a research proposal and methodological framework intended for feasibility testing and preregistration prior to confirmatory experimentation.
Authors
- Craig Kyrle Strachan Davidson (ORCID: https://orcid.org/0009-0007-2990-8716)
- Alfie Christian Strachan Davidson
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-09
- DOI
- https://doi.org/10.5281/zenodo.24065630
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00