METACORE_Architectural_Constraint_Layer_for_Reasoning_Defensive_Paper_EN_v1

This paper formally defines METACORE as an external invariant architectural layer for constraining reasoning in Large Language Models (LLMs, Large Language Models — большие языковые модели).The purpose of this work is not to demonstrate performance gains or intelligence amplification, but to evaluate METACORE’s robustness under direct engineering scrutiny: terminological, methodological, computational, energetic, and regulatory.METACORE is presented as a mechanism for constraining the admissible semantic space of reasoning, with explicitly fixed boundaries of applicability and non-removable limitations.The paper establishes clear distinctions between METACORE and prompt-based approaches, RAG systems, agent architectures, and internal model modifications, positioning METACORE as an external architectural standard rather than a heuristic technique or product.