Identity and provenance
Source and dataset identity, validated snapshots, provenance, dataset versions, manifests, hashes, and deterministic transformations.
Separate governed subsystem
AI-DATASET
Dataset identity, provenance, validation, versioning, quality state, deterministic exports, and future training-eligibility inputs.
Dataset governance without authority substitution.
AI-DATASET depends on the governed AI-DATABASE authority and evidence foundation. It is not the primary MVP and does not own constitutional or certification authority.
Quality and splits
Quality state, feature and label records, train, validation, and test splits, leakage prevention, and drift evidence.
Controlled outputs
Export records, promotion and certification inputs, and future training-eligibility preparation.
Current verified status
Governed subsystem preparation.
Repository reconciliation and controlled subsystem development remain pending under AI-DATABASE authority.
Constitutional authority boundaryDefined
Repository reconciliationPending
Protected subsystem deploymentNot authorized
Training and learningOff / not authorized
Current boundary
Operational deployment, training eligibility activation, model training, learning, production readiness, and autonomous execution are not active or authorized.