AI & Computingpreprint2026-08-30

A Framework for Measuring Output-Space Regularity Under Recursive Moral Prompting: Proxy Metrics, a Calibration Protocol, and Prospective Activation-Level Validation

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Abstract

Methods paper; no empirical Proxy-IVCS/Latent-IVCS values computed. AI-assistance disclosure: large language models were used, under the author's direction and review, for drafting/editing assistance, literature search and bibliographic verification, and (where applicable) research-engineering of governed pipelines; in the empirical SROP studies LLMs additionally appear as the subject of study and (in R27/NR) as measurement instruments, as described in each paper's Methods. No AI system is an author; the human author bears sole responsibility for content. Version notes: retitled; theorem apparatus, named clusters, and simulated Grok analysis withdrawn; methods framework with prospective validation (no Proxy-IVCS/Latent-IVCS values computed).

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-30

Authors: Nived Rajendran

Institutions: Brampton Civic Hospital