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This work defines a grouping metric, specify a harness, and shows how tracking a human-AI pair's grouping over time yields the compounding signal that Paper 1's field study requires.
It is argued this is an operations problem, not a tooling problem: mechanisms for persisting corrections exist and are shipping, but the discipline for governing them -- versioning with provenance, recurrence monitoring, counter-metrics, retirement of stale rules -- does not.
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