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Introduces TRIE, an evaluation framework for stochastic PDE surrogates that tests reproduction of invariant measures, trustworthy predictive uncertainty, and efficiency. Benchmarks pointwise-trained neural surrogates, approximate uncertainty methods, and generative models on two SPDEs, finding generative models most consistent.