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Nived Rajendran

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#large language models Open access Aug 2026

A Protocol for Human Attribution Ratings to Self-Referential LLM Outputs: Candidate Cue Structure as a Design Input

Study protocol and planned preregistration draft; data collection not begun. 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 the qualification study and the mechanistic negative result) 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 off the Theory-of-Mind co-headline; protocol/Stage-1 draft, no human data collected.

Nived Rajendran · 0 citations
#large language models Open access Aug 2026

SROP Research Programme Overview

Programme overview/companion (not a paper-level contribution). 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 the qualification study and the mechanistic negative result) 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: ESNI moniker retired; five-paper SROP framing; 30 Aug 2026 status addendum on the successor study's terminal.

Nived Rajendran · 0 citations
#large language models Open access Aug 2026

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

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 the qualification study and the mechanistic negative result) 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).

Nived Rajendran · 0 citations
#large language models Open access Aug 2026

Prompt-Conditioned Self-Referential Output Patterns in Large Language Models: A Provenance-Bounded, Cross-Platform Output-Level Case Study Under Recursive Moral Prompting

Exploratory, provenance-bounded output-level case study. 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 the qualification study and the mechanistic negative result) 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 from the 2026-04-29 deposit; ESNI framing and pooled confirmatory ACBP statistics withdrawn; exploratory, provenance-bounded output-level case study; content = the 2026-08-29/30 revision.

Nived Rajendran · 0 citations