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Five failure modes of authority re-derivation: why caching is the enemy of governance
How stale approval, drifted state, and “already validated” shortcuts undermine T₁—and how sealer-style logic pushes freshness at bind time.
Why caching fights governance
Caching optimizes for speed and repeatability. Authority at commit time optimizes for truth of the present moment. When a system treats “we checked earlier” as equivalent to “we checked now,” it optimizes for the wrong variable: latency instead of admissibility freshness.
Five failure modes (pattern names)
1) Stale approval token — human or model consent from T₀ treated as sufficient at T₁ while lifecycle changed. 2) Stale org posture — tenant active at plan time, suspended or inactive at commit. 3) Stale payload class — shape validated once, fields drift before bind. 4) Stale policy interpretation — narrative “we are compliant” without machine-checkable predicates at bind. 5) Stale observability — dashboards that reconcile after commit but do not refuse at bind.
State freshness and authority drift (BiDigest-shaped response)
On governed paths, T₁-style logic re-reads deterministic inputs (org row, strict claim validation, explicit shunt codes) so the bind decision is a function of current state where implemented—not a lookup of a cached “yes.” That targets authority drift and state freshness without claiming every partner edge or future route is identical.
Internal operators map evidence to STAGING_SOAK_0095_DOUBLE_GATE_TEMPLATE and PLUMBING_SPEC §1; do not market guillotine or starve-payload physics.