INFORMATIVEACTIVE
Truth Source: Repository schemas and tests are authoritative.
Attestation
This document mirrors the protocol definition for reference only.
Learning Attestation v1.0.0
Protocol: MPLP v1.0.0 (Frozen)
Date: 2025-12-30
Governance: MPGC
1. Truth Sources
The Learning Module implementation is strictly derived from the following Frozen Truth Sources:
- Taxonomy:
schemas/v2/taxonomy/learning-taxonomy.yaml - Invariants:
schemas/v2/invariants/learning-invariants.yaml - Schemas:
schemas/v2/learning/*.schema.json
2. SDK Status
The Reference SDKs have achieved Full Alignment with the Learning Module specification.
| Language | Validator | Exporter | Hooks | Version |
|---|---|---|---|---|
| TypeScript | Full | Full | Full | v1.0.7+ |
| Python | Full | Full | Full | v1.0.8+ |
3. Evidence
All claims are supported by sealed Evidence Reports:
- Alignment & Exporter:
PDG_ALIGNMENT_EVIDENCE_REPORT_LEARNING.md - Collection Hooks:
PDG_ALIGNMENT_EVIDENCE_REPORT_LEARNING_HOOKS.md
4. Disclaimer
This attestation confirms conformance to the MPLP v1.0.0 specification based on automated evidence. It does not certify the quality of learning outcomes or endorse any specific AI model performance. Learning capabilities are optional and disabled by default.