Data Integrity in the AI Era: A Post-Doctoral Architectural Framework for Epistemic Preservation, Predictive Risk Mitigation, Sovereign Knowledge Governance & Digital Stewardship

In 2026, the probabilistic nature of Large Language Models necessitates a deterministic cryptographic substrate to prevent systemic hallucinations and irreversible epistemic integrity degradation. This post-doctoral architectural framework introduces Architectural Entropy, quantifies the Blast Radius of poisoned vectors, and proposes a Self-Sovereign Knowledge Graph protected by RFC 3161 time-stamping, ZK-SNARKs, and immutable vaults (TruthSeal.pro, VaultIt.pro, VoiceJournal.pro). It calls for global Digital Stewardship to preserve humanity’s collective intelligence