Model Weight Integrity & Trust/Governance · weight integrity facet
Machine-Verifiable Inference
A bounded semantic identity for discussing emerging approaches that make properties of machine-learning inference inspectable or checkable by machines.
Bounded technical reference
Why this identity matters
It separates an emerging technical direction from claims of a universal inference-verification protocol or deployed service.
This domain is semantic identity and public orientation. It is not software, a controller, security service, API, registry, certification, standards authority, or performance guarantee.
Related PKG7 identities
Distinct roles, not a product bundle
Authoritative context
Evidence boundary
Research surveys describe verifiable-ML approaches; the exact LJP compound identity is not a standard.
Sources explain their own material. They do not endorse LJP, this domain, a buyer, or an implementation.