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Time series anomalies hiding in plain sight? AxonAD spots them by predicting how attention queries *should* evolve, then flags deviations from that expectation.
Accuracy leaderboards mislead: lightweight classical anomaly detectors surprisingly outperform deep methods when deployed under the throughput constraints of in-vehicle monitoring systems.
