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Real-time monitoring can fail catastrophically when the underlying data is dependent, as shown by a 100% failure rate in real forecasting streams despite theoretical guarantees.
Achieving per-class coverage under distribution shifts is not only inefficient but also fundamentally impossible without sufficient target labels, revealing a hidden cost in label complexity.
