Observation-Point Determination Principle for AI Ethics, Governance, and Control v3.7

Observation-Point Determination Principle for AI Ethics, Governance, and Control v3.7 OPDP v3.7 is an author-owned, registry-bound, machine-readable claim-status discipline for AI ethics, governance, and control. It is designed to prevent status laundering between local procedural states and independent epistemic authority. It separates record from validation, hash from truth, signature from correctness, DOI from peer review, local audit from external validation, cached anchor from live verification, author-owned equivalence from independent equivalence, author-owned ledger integrity from externally anchored ledger, and author-owned routing output from externally validated claim status. This release integrates: Qualitative Boundary Partition Local Bootstrap Correction Quantisation Transition Gate External Anchor State Control Registry Version Lock Cached Anchor TTL Authority Registry Release Hash Anchoring Audit Sequence Identity and Concurrency Integrity OPDP Core Ledger Integrity Canonical High-Stakes Claim Class Definition EMIT_WITH_LOCAL_LABEL Output Consistency Anchor Flapping Implementation Guidance Status-Laundering Safeguards Governance axis: Peace / Non-violence / Dignity Dual-use boundary: NO military / NO surveillance / NO coercion Final axis: Audit-first / FACT-BASED / NO OVERCLAIM / NON-CIRCULARITY Public claim boundary: This release does not claim external validation, peer review, formal verification, experimental confirmation, institutional approval, scientific proof, or domain validation. Audit status: Odin Structural Audit: PASS WITH MINOR IMPLEMENTATION WARNINGSLeviathan Final Lock Candidate Audit: PASSStructural blockers: ZERO Release status: Final Lock Candidate / SHIP_READY The included SHA256 record verifies file integrity only. It does not prove scientific correctness, external validation, peer review, formal verification, experimental confirmation, institutional approval, or domain validation.