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Appendices

Supplementary readings and contextual materials related to the RATIUM.AI research framework.

This page collects supplementary reading materials that support, contextualize, or illuminate parts of the RATIUM.AI intellectual framework without belonging to the main source dossiers, technical reference pages, or public article layer. The materials listed here may focus on scientific figures, research conduct, methodological orientation, intellectual context, or background problems that are relevant to the broader discussion of the Central Equilibrium Problem (CEP), LoopGuard-AI, and AI governance. These appendices are not presented as biographical profiles; they are reading notes and interpretive materials focused on scientific standing, professional conduct, and the role of specific researchers within the wider research context.

The appendices are supplementary orientation materials. They are not presented as primary source dossiers, technical documentation, empirical validation records, or full academic biographies.

Dan Graur — Scientific Standing and Research Conduct.

This appendix presents a reading note on Dan Graur, focusing not on a general biography but on his standing as a scientist, his role as a researcher, and the professional character of his scientific work. The page is intended as contextual material within the broader RATIUM.AI research framework.

Yuri Petrovich Altukhov — Scientific Standing and Research Conduct.

This appendix presents a reading note on Yuri Petrovich Altukhov, focusing not on a general biography but on his standing as a scientist, his role as a researcher, and the professional character of his scientific work. The page is intended as contextual material within the broader RATIUM.AI research framework.

RATIUM.AI — LoopGuard-AI governance architecture and Central Equilibrium Problem research by Benny Dunavich, focused on AI governance, cognitive duality, Pareto efficiency, decision-control systems, auditability, evaluation architecture, and stable governance layers for AI systems.

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