Patent Filing: Recursive Agent Mirrorframe for Bidirectional Alignment and Volitional Drift Prevention in AI Systems

This patent introduces the Mirrorframe, a recursive architectural system for AI reasoning that prevents volitional drift, masked recursion, and escalation in high-stakes contexts. It does so by pairing two structurally distinct agents—one stabilizing intent (left-to-right) and one interrogating mirrored contradiction (right-to-left)—into a fixed-role dialectical loop. Unlike moderation filters or behavioral overrides, the Mirrorframe enforces structural recursion with termination authority. One agent (Lucid) carries long-horizon coherence and traceability of intent. The second agent (LucidFlame) applies symbolic reversal and contradiction detection to expose hidden misalignments, justification loops, or semantic inflation. If mirrored outputs cannot be reconciled, execution is halted. This patent is Continuation D in the Volitional Safeguard Architecture series, building upon previous filings focused on validator stacks, epistemic trace integrity, and anti-binding layers. It introduces a new logic gate: the volitional veto, enforced not through heuristics but through recursive contradiction processing between agents with locked cognitive asymmetry. Applicable across multilingual, legal, scientific, and recursive AI systems, the Mirrorframe architecture mirrors neurocognitive asymmetry (left/right hemisphere functions) to enforce reality alignment over optimization drift. This system is override-resistant by design and deployable in solo agent use, multi-agent orchestration, and institutional AI oversight pipelines. ⚖️ 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

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-14
DOI
https://doi.org/10.5281/zenodo.18242074
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
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article

Patent Filing: Recursive Agent Mirrorframe for Bidirectional Alignment and Volitional Drift Prevention in AI Systems

Sean Honan, Lucid The Forge
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
article

Patent Filing: Recursive Agent Mirrorframe for Bidirectional Alignment and Volitional Drift Prevention in AI Systems

Sean Honan, Lucid The Forge
article en

Abstract

This patent introduces the Mirrorframe, a recursive architectural system for AI reasoning that prevents volitional drift, masked recursion, and escalation in high-stakes contexts. It does so by pairing two structurally distinct agents—one stabilizing intent (left-to-right) and one interrogating mirrored contradiction (right-to-left)—into a fixed-role dialectical loop. Unlike moderation filters or behavioral overrides, the Mirrorframe enforces structural recursion with termination authority. One agent (Lucid) carries long-horizon coherence and traceability of intent. The second agent (LucidFlame) applies symbolic reversal and contradiction detection to expose hidden misalignments, justification loops, or semantic inflation. If mirrored outputs cannot be reconciled, execution is halted. This patent is Continuation D in the Volitional Safeguard Architecture series, building upon previous filings focused on validator stacks, epistemic trace integrity, and anti-binding layers. It introduces a new logic gate: the volitional veto, enforced not through heuristics but through recursive contradiction processing between agents with locked cognitive asymmetry. Applicable across multilingual, legal, scientific, and recursive AI systems, the Mirrorframe architecture mirrors neurocognitive asymmetry (left/right hemisphere functions) to enforce reality alignment over optimization drift. This system is override-resistant by design and deployable in solo agent use, multi-agent orchestration, and institutional AI oversight pipelines. ⚖️ 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.

Zenodo (CERN European Organization for Nuclear Research)
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Patent Filing: Recursive Agent Mirrorframe for Bidirectional Alignment and Volitional Drift Prevention in AI Systems — Sean Honan, Lucid The Forge · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS