Nived Rajendran

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-engineer...

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) resear...

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-en...

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 applicabl...

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) resear...

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 applicabl...

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-en...

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 applicabl...