Propositions synthesized from multiple canonical reviews. Each finding exposes its evidence base and remains revisable as the archive grows.
Principles, taxonomies and assurance evidence do not themselves govern a system; governance becomes operational when evidence is connected to decision authority, intervention, enforcement and residual-risk ownership.
Reviews across AI risk tooling and agent governance repeatedly separate descriptive or evaluative capability from the institutional machinery that can permit, constrain, stop or remedy action.
Assurance of components in isolation is incomplete when interaction topology, message ordering, retained context or delegated relationships can change system behaviour.
The archive contains both experimental evidence that interaction changes observed behaviour and governance analysis showing that delegated agents exercise authority through relationships rather than as isolated models.
Provenance, representational similarity and other measurable properties can establish facts about a system without establishing who is entitled to decide, whose values should prevail or whether an action is legitimate.
Recent reviews distinguish empirical evidence about represented populations and credential disclosure from the institutional authority needed to justify consequential choices.