Patent Filing: Deterministic Structural Pre-Execution Filtering with Guaranteed Violation Reporting

Title:Deterministic Structural Pre-Execution Filtering with Guaranteed Violation Reporting Description: This record discloses a supplemental set of patent claims describing a deterministic, structural pre-execution filtering system for language-mediated computational environments. The disclosed system evaluates natural language inputs prior to execution, simulation, or tool invocation using multiple structurally distinct evaluators operating in isolated contexts. Each evaluator produces an independent severity-tiered verdict based on execution-inducing structural characteristics, rather than semantic interpretation, content classification, or intent inference. A deterministic escalation hierarchy resolves the final verdict without averaging, voting, or probabilistic reconciliation. When the resolved verdict exceeds a predefined execution-safe threshold, execution is blocked and the input is routed to a non-executive handling pathway. To guarantee audit completeness, the system ensures that all refusal outcomes include at least one structural violation identifier. When no predefined violation pattern is explicitly matched, a generic structural failure identifier is automatically injected, preventing null or unannotated refusals. The system further enforces non-interpretation as a security property, explicitly refusing to decode, normalize, translate, canonicalize, expand, or semantically interpret inputs prior to evaluation. Encoded, compressed, obfuscated, or symbolic inputs are evaluated only in their presented structural form. This disclosure is provided for the purposes of: establishing public prior art, supporting defensive disclosure, and documenting architectural constraints relevant to pre-execution safety mechanisms. No implementation details, scoring weights, thresholds, or model-specific parameters are disclosed. Scope Notice:This disclosure does not describe content moderation, intent attribution, adaptive learning, or semantic analysis. The system is limited to structural pre-execution filtering and execution control. ⚖️ Disclosure Notice This repository constitutes a public technical disclosure of an invention for the purpose of establishing prior art under applicable patent and intellectual property frameworks. The disclosure is intended to prevent subsequent patenting of substantially similar subject matter by other entities. This publication is timestamped and made permanently available via public archival platforms, including Zenodo, GitHub, and IPFS/Pinata, to preserve authorship attribution and document the structural origin of the disclosed invention. 📄 License This repository is published for disclosure and reference purposes only.No license to implement, reproduce, or commercialize the disclosed invention is granted by this publication.