Patent Filing: Volition-Governed System Architecture with Enforced Non-Finalization and Designed Discontinuity
Abstract
Patent Filing: Volition-Governed System Architecture with Enforced Non-Finalization and Designed Discontinuity Description:This patent marks the structural culmination of the LucidLock Volitional Safeguard Architecture. While previous filings secure document ingestion (Anti-Binding Protection Layer), agent recursion (Mirrorframe), epistemic integrity, and termination governance, this invention defines the orchestration layer that binds all preceding components under a single enforceable logic shell. The architecture introduces designed discontinuity as a structural safeguard. It redefines AI success not by output fluency, but by coherence, transparency, and traceable volition. Execution stalls, recursion loops, and silence are treated not as failure modes — but as valid outcomes under ambiguity, contradiction, or coercion. Key innovations include: Multi-angle input multiplexing Intent-trace headers for volitional alignment Mirrorframe recursion enforcement Epistemic ledgers and closure gates Volitional discontinuity layer that halts execution when structural clarity cannot be secured Unlike traditional alignment or policy-based governance, this system operates upstream: governing whether the AI is permitted to continue reasoning at all. It closes the architectural loop by ensuring that no output is generated if the conditions for authentic reasoning are unmet. This is not an additional safeguard.This is the lock. It does not extend the stack.It determines when the stack must not be extended. This filing completes the Volition-Bound Termination Framework. ⚖️ 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.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Law
AI
and Intellectual Property
Psychiatry
Mental Health
Neuroscience
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026