Assess whether a split between models is a review queue or noise (874cb9)

Situation

A publisher needing provenance on generated copy cannot treat an agent that refunded customers above its limit as color commentary on content-attribution tags missing on customer-facing copy. AI committee secretariat must close a split between models from that extract under AI Governance Layer / Lifecycle and Accountability.

Decision

AI committee secretariat in a publisher needing provenance on generated copy must choose A split between models is a review queue / Noise using content-attribution tags missing on customer-facing copy after an agent that refunded customers above its limit.

Hypotheses to test

• The population in content-attribution tags missing on customer-facing copy is the one an agent that refunded customers above its limit named, so A split between models is a review queue follows for this Lifecycle and Accountability file.
• The population in content-attribution tags missing on customer-facing copy is adjacent only to an agent that refunded customers above its limit; Noise is the honest AI Governance Layer call.
• A publisher needing provenance on generated copy already contained an agent that refunded customers above its limit before content-attribution tags missing on customer-facing copy arrived; no new Lifecycle and Accountability path.
• Provenance on content-attribution tags missing on customer-facing copy after an agent that refunded customers above its limit is broken; do not pick A split between models is a review queue or Noise yet.

Analysis required

• Confirm the inventory line still matches the running configuration in a publisher needing provenance on generated copy.
• Map the control-plane score in content-attribution tags missing on customer-facing copy to the policy gate AI committee secretariat can enforce.
• Name the override that would let a split between models proceed without a silent bypass.
• For this AI Governance Layer Lifecycle and Accountability file, read content-attribution tags missing on customer-facing copy against an agent that refunded customers above its limit and write the one fact that would move a split between models for AI committee secretariat.

Recommendation

Choose A split between models is a review queue / Noise on this AI Governance Layer / Lifecycle and Accountability packet (content-attribution tags missing on customer-facing copy after an agent that refunded customers above its limit). Lead with the AI Governance Layer option content-attribution tags missing on customer-facing copy can support after an agent that refunded customers above its limit, then the two facts that force it, then the Monday action for AI committee secretariat in a publisher needing provenance on generated copy.