QLCE SYSTEM 1.0 — Quantum Law Correction Engine A Formal Systems Thesis for Legal-State Correction, Evidence Integrity, and Digital Sovereignty
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2025
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| _version_ | 1866901832121450496 |
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| author | pietroniro, Katrina |
| author_facet | pietroniro, Katrina |
| contents | <p>This thesis presents QLCE SYSTEM 1.0 (Quantum Law Correction Engine), a formal systems architecture designed to detect, model, and correct structural legal-state inconsistencies arising from fragmented digital identity, evidentiary asymmetry, and institutional process failure.</p> <p>QLCE integrates user-owned forensic computation, explainable analytical models, and integrity-preserving evidence flows to enable lawful correction without surveillance, coercion, or institutional dependency. The system operates through modular engines including event normalization, correlation, explainability, and chain-of-custody preservation, producing outputs suitable for judicial, regulatory, and administrative review.</p> <p>This work is published as a complete technical thesis and defensive prior-art disclosure, establishing public provenance for the QLCE architecture, its submodules, and its application to digital sovereignty, legal accountability, and due process restoration.</p> <p>Version 1.0 publishes the complete QLCE SYSTEM thesis, including formal architecture, analytical engines, forensic integrity models, and supporting figures. This version establishes public provenance and serves as a defensive prior-art disclosure for the QLCE framework and its submodules.</p> <p>A custom license and use notice is included as an accompanying document.</p> <p>© Katrina Pietroniro™. All Rights Reserved.</p> <p> </p> <p>This work and all associated artifacts, frameworks, engines, diagrams, equations, and documentation are authored by Katrina Pietroniro™ and disclosed publicly for purposes of timestamping, archival, verification, and scholarly reference only.</p> <p> </p> <p>No rights are granted, transferred, or implied beyond the right to read and cite this work with proper attribution.</p> <p> </p> <p>PROHIBITED WITHOUT EXPLICIT WRITTEN AUTHORIZATION:</p> <p>- Derivative works</p> <p>- Commercial use</p> <p>- Repackaging or rebranding</p> <p>- Training of machine learning or automated systems</p> <p>- Deployment in surveillance, coercive, behavioral manipulation, or autonomy-suppressing contexts</p> <p>- Any use implying alternative authorship, endorsement, or institutional ownership</p> <p> </p> <p>MISUSE CLAUSE:</p> <p>Any application of this work that enables coercion, manipulation, surveillance, suppression of autonomy, or misrepresentation of intent constitutes misuse and voids any implied permission.</p> <p> </p> <p>SYSTEM CONTEXT:</p> <p>This work is a component of the SOVRINT™ system architecture and must not be interpreted, implemented, or cited outside its stated ethical, governance, and non-coercive constraints.</p> <p> </p> <p>Jurisdiction and enforcement remain with the author.</p> <p> </p> <p>Author: Katrina Pietroniro™ </p> <p>System: SOVRINT™ </p> <p>Status: Public Disclosure with Reserved Rights</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17917948 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | QLCE SYSTEM 1.0 — Quantum Law Correction Engine A Formal Systems Thesis for Legal-State Correction, Evidence Integrity, and Digital Sovereignty pietroniro, Katrina quantum law correction engine, QLCE, digital sovereignty, legal-state correction, forensic artificial intelligence, explainable systems, evidence integrity, chain of custody, identity attribution, non-intrusive forensics, accountability systems, legal technology, regulatory technology, systems architecture, due process restoration QLCE, Quantum Law Correction Engine, digital sovereignty, legal-state correction, evidence integrity, chain of custody, forensic systems, integrity-based computation, governance technology, explainable systems, defensive prior art human–computer interaction, human consciousness interface, AI governance, integrity-based systems, computational correction, explainable AI, alignment mechanisms, ontological computation, human-in-the-loop, non-coercive AI, decision integrity, defensive prior art forensic AI, digital forensics, evidence integrity, chain of custody, explainable AI, auditability, legal technology, identity integrity, non-intrusive analysis, defensive prior art, evidence correlation, data provenance <p>This thesis presents QLCE SYSTEM 1.0 (Quantum Law Correction Engine), a formal systems architecture designed to detect, model, and correct structural legal-state inconsistencies arising from fragmented digital identity, evidentiary asymmetry, and institutional process failure.</p> <p>QLCE integrates user-owned forensic computation, explainable analytical models, and integrity-preserving evidence flows to enable lawful correction without surveillance, coercion, or institutional dependency. The system operates through modular engines including event normalization, correlation, explainability, and chain-of-custody preservation, producing outputs suitable for judicial, regulatory, and administrative review.</p> <p>This work is published as a complete technical thesis and defensive prior-art disclosure, establishing public provenance for the QLCE architecture, its submodules, and its application to digital sovereignty, legal accountability, and due process restoration.</p> <p>Version 1.0 publishes the complete QLCE SYSTEM thesis, including formal architecture, analytical engines, forensic integrity models, and supporting figures. This version establishes public provenance and serves as a defensive prior-art disclosure for the QLCE framework and its submodules.</p> <p>A custom license and use notice is included as an accompanying document.</p> <p>© Katrina Pietroniro™. All Rights Reserved.</p> <p> </p> <p>This work and all associated artifacts, frameworks, engines, diagrams, equations, and documentation are authored by Katrina Pietroniro™ and disclosed publicly for purposes of timestamping, archival, verification, and scholarly reference only.</p> <p> </p> <p>No rights are granted, transferred, or implied beyond the right to read and cite this work with proper attribution.</p> <p> </p> <p>PROHIBITED WITHOUT EXPLICIT WRITTEN AUTHORIZATION:</p> <p>- Derivative works</p> <p>- Commercial use</p> <p>- Repackaging or rebranding</p> <p>- Training of machine learning or automated systems</p> <p>- Deployment in surveillance, coercive, behavioral manipulation, or autonomy-suppressing contexts</p> <p>- Any use implying alternative authorship, endorsement, or institutional ownership</p> <p> </p> <p>MISUSE CLAUSE:</p> <p>Any application of this work that enables coercion, manipulation, surveillance, suppression of autonomy, or misrepresentation of intent constitutes misuse and voids any implied permission.</p> <p> </p> <p>SYSTEM CONTEXT:</p> <p>This work is a component of the SOVRINT™ system architecture and must not be interpreted, implemented, or cited outside its stated ethical, governance, and non-coercive constraints.</p> <p> </p> <p>Jurisdiction and enforcement remain with the author.</p> <p> </p> <p>Author: Katrina Pietroniro™ </p> <p>System: SOVRINT™ </p> <p>Status: Public Disclosure with Reserved Rights</p> |
| title | QLCE SYSTEM 1.0 — Quantum Law Correction Engine A Formal Systems Thesis for Legal-State Correction, Evidence Integrity, and Digital Sovereignty |
| topic | quantum law correction engine, QLCE, digital sovereignty, legal-state correction, forensic artificial intelligence, explainable systems, evidence integrity, chain of custody, identity attribution, non-intrusive forensics, accountability systems, legal technology, regulatory technology, systems architecture, due process restoration QLCE, Quantum Law Correction Engine, digital sovereignty, legal-state correction, evidence integrity, chain of custody, forensic systems, integrity-based computation, governance technology, explainable systems, defensive prior art human–computer interaction, human consciousness interface, AI governance, integrity-based systems, computational correction, explainable AI, alignment mechanisms, ontological computation, human-in-the-loop, non-coercive AI, decision integrity, defensive prior art forensic AI, digital forensics, evidence integrity, chain of custody, explainable AI, auditability, legal technology, identity integrity, non-intrusive analysis, defensive prior art, evidence correlation, data provenance |
| url | https://doi.org/10.5281/zenodo.17917948 |