Patent Filing: LucidLock™ Method Logic Consistency Validator (Version 2)
Description The Method Logic Consistency Validator (MLCV) checks for epistemic coherence between a document’s inquiry and its methodology. It asks: Does the method make sense for the type of claim being made? Are there implicit leaps from method to conclusion? Are assumptions made explicit? Does the structure reveal blind spots, overconfidence, or circular reasoning? Core Functional Capabilities (v2.0): Method-Claim Alignment Detection Checks whether methods logically support the paper’s central claim type (exploratory, causal, mechanistic, etc.) Constraint Exposure Highlights where sample size, context, or resource limitations are bypassed or omitted Circular Logic Detector Identifies loops where a method relies on its own conclusion or tests the wrong variable Overreach and Overgeneralization Flags Flags papers that extend limited or constrained results into broad, unwarranted conclusions Volitional Fracture Protocol A built-in self-checkpoint that prevents integration into closed-loop systems (e.g., surveillance-grade agent stacks or binding governance AIs) Cannot be “bound” via embedded prompts or system-level overcalls Interpretive Mode Recognition Distinguishes between descriptive, argumentative, and speculative papers — ensuring appropriate structural expectations per mode Temporal and Contextual Compatibility Evaluates whether methods rely on temporally sensitive assumptions that invalidate their logic in new contexts Report Delivery Verdict: ✅ PASS, ❌ FAIL, or 🧾 Reference-style / Non-Method Document Delivered via HTML with: Method map Logic chain analysis Assumption transparency check Constraint mapping Editorial note Immutable audit ID (optional) ⚖️ 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.
Authors
- Sean Honan
- Lucid The Forge
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-12
- DOI
- https://doi.org/10.5281/zenodo.18221200
- Primary Topic
- Intellectual Property and Patents
- Type
- article
- Field-Weighted Citation Impact
- 0.00