The four categories of the SOURCE 0 Doctrine are not parallel classifications. They constitute a causal sequence — problem domain, methodological response, legal operationalization, normative constraint field — whose coherence depends on the formal articulation of three inter-layer interfaces. This article makes that architecture explicit, disambiguates its shared vocabulary across eleven distinct definitions, establishes the material modification threshold, closes the deliberate misclassification escape route, and maps each layer against its precise regulatory obligations. The four-layer architecture is not a model. It is a condition of proof.

The landmark München Court ruling of May 28, 2026, officially ends the era of self-certification in AI governance. Discover why AI-generated synthesis triggers direct editorial liability, why internal logs are legally void as circular proof (the Endogenous Audit Paradox), and how independent hardware-attested evidentiary decoupling (GPL) has become a structural market prerequisite for enterprise AI.

The Paradox of Asymmetry Kinetics (PAK) exposes the structural breakdown of traditional AI oversight. While multi-agent networks operate at sub-millisecond silicon speed, human and legal frameworks react in days or weeks. Discover how the SOURCE 0 Doctrine solves this catastrophic temporal gap by deploying a dedicated Governance Proof Layer (GPL)—decoupling operational infrastructure from undeniable, pre-execution cryptographic proof.

The Missing Evidentiary Standard in European Regulation. Modern enterprise architecture has a structural blind spot. While frameworks like AMLR, the AI Act, DORA, and NIS2 demand absolute proof of compliance, traditional operational systems only produce vulnerable, post-hoc logs.

Discover how the Governance Proof Layer (GPL) instantiated by SOURCE 0 introduces a dedicated, hardware-enforced infrastructure layer—decoupling processing from forensic proof to secure human-in-the-loop decisions strictly prior to execution.