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QuantileForecasts -> MonotonicQuantileForecasts
Sort the estimated quantile forecasts at each target timestep to enforce strict monotonic ordering.
Problem it solves
Independent quantile regression heads can generate crossing predictions where a lower quantile exceeds a higher one.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.