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Spatial foundation models aren't as "all-round" as we thought: SpatialBench reveals surprising generalization gaps and the critical importance of domain alignment over naive data scaling.
Time series forecasting models are surprisingly susceptible to backdoor attacks due to data entanglement and task-formulation shift, but a new channel-wise pool training method called TimeGuard can effectively defend against them.
