Towards an Integrated System for Hierarchical Multidimensional Validation, Generation, and Evaluation

This paper proposes an intellectual infrastructure that unifies natural language reasoning and source-code integrity to enable automated, transparent vulnerability detection. By aligning logical meaning with executable structures, the framework eliminates ambiguity between human intent and machine behavior. The ultimate goal is Universal Knowledge Symmetry, transforming information retrieval from opaque inference into a verifiable and auditable Presentation of Truth across technical and cognitive domains.