DescriptionThis monograph establishes a formal theoretical framework for analyzing correction as a structural transformation of rule-based systems. Correction is defined as a change of logical structure under relevant and validated information input, rather than a purely content-level adjustment. The framework introduces a five-level analytical architecture: binary correction (GCR/FCR), measurement reliability (κ), partial correction quality (PCR), temporal dynamics (RL/PD), and structural complexity (SC). The model formalizes relevance, protocol-validity, invariance, hierarchical rule integration, and treats information as an operator over a structured rule space. The five dimensions are analytically distinct and non-redundant, enabling multi-dimensional profiling of structural response. Empirical validation studies are intended as follow-up work and will be released separately. AbstractThis monograph presents a formal theoretical framework for analyzing correction as a structural transformation of rule-based systems. The model defines correction not as a content-level adjustment but as a modification of logical structure under relevant and validated information input. A five-level analytical architecture is introduced: binary correction (GCR/FCR), measurement reliability (κ), partial correction quality (PCR), temporal dynamics (RL/PD), and structural complexity (SC). The framework formalizes relevance, validity, invariance, and hierarchical rule integration, and models correction as a state transformation operator over a structured rule space. The dimensions are analytically distinct and non-redundant, forming a multi-dimensional profile of structural response. This work establishes the theoretical foundation for subsequent empirical validation studies. Includes Operational Appendix (v1.0): glossary, worked examples, scoring protocols, and 30-day pilot study plan. Includes bilingual evaluation form (DE/EN). +HU · ZH Bankuti, O. (2026). The Structural Architecture of Correction: A Formal Five-Level Theoretical Model (v1.0). Zenodo. https://doi.org/10.5281/zenodo.18802629