A Blueprint for Sovereign Intelligence: Advanced DLT-DSA Framework for Decentralized Integrity Verification (HDA-RIV) and Systemic ESG Implementation

Suggested Citation: Jo, Gwangsik. (2026). A Blueprint for Sovereign Intelligence: Advanced DLT-DSA Framework for Decentralized Integrity Verification (HDA-RIV) and Systemic ESG Implementation (Version v2.0.0) Technical whitepaper. Zenodo. Abstract This whitepaper proposes a "Full-Stack Sovereign AI Infrastructure" model, vertically integrated from foundational methodology to hardware implementation, to resolve the data monopolies inherent in conventional centralized platforms and strategically reduce cloud dependency. The core Hybrid Distributed Architecture (HDA) combines decentralized access control via DLT-DSA with timing-based Reference Integrity Value (RIV) control logic to guarantee the real-time integrity of data and AI model weights. Through a variable RIV system and a calibrated grace period (ΔT), the architecture secures continuous intelligent operations without service interruption, while reducing computational overhead via intelligent Lazy Deletion. At the physical and network boundaries, the infrastructure operationalizes a rigorous OSI Layer-6 Trust specifically, by fractionally offloading static data—which comprises approximately 70% of total data volume—to individual edge nodes, it radically eliminates centralized cloud redundancy and long-term data debt. "From Centralized Power to Distributed Autonomy: A Blueprint for the Sovereign Digital Era." Key Architectural Paradigm & Pillars: Core Framework: Advanced DLT-DSA & Hybrid Distributed Architecture (HDA) Real-time Integrity Logic: Variable Reference Integrity Value (RIV) & Lazy Deletion (Grace Period ΔT) Physical Acceleration & Security: Hybrid Bi-phase MCU (HBMCU) & Hardware-Level Security Gates Network Telecommunications: Universal Trust Layer (UTL) & Universal Trust Protocol (UTP) at OSI Layer-6 Digital Ecosystem & Governance: Algorithmic ESG & Synergetic Value Management (SVM) via PublicPlatform For more information about the author's professional background, technological foundations, and ongoing open-source deployments, please visit: LinkedIn: https://www.linkedin.com/in/gwangsik-jo-3295a43b5 ORCID: https://orcid.org/0009-0008-5702-8940 YouTube Channel: https://www.youtube.com/@ICITLabs (ICIT Labs: PublicPlatform & SVM)