Independent technical research examining retrieval-grounded system architecture, confidence-gate calibration, the economics and psychology of information asymmetry, and persona-conditioned conversational AI. Every paper states its methodology, analytical boundaries, and empirical limitations, and every measured figure links to its raw log.
The complete papers — full methodology, raw datasets, per-item logs, and PDF export — are published and continuously updated at research.imperialecc.com.
Browse the full research site →All papers are published independently by Imperial Eminence Cyberguard Corporation and have not undergone formal academic peer review. This status is disclosed directly within each paper's own header and metadata. Representing self-published work as externally peer-reviewed would compromise the fundamental purpose of these publications, which is to document system design methodologies and empirical trade-offs transparently. This index is generated from a live data source and may include papers added after this page was last deployed.