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Conflicting findings on model representation convergence are unified by a lattice structure, revealing that "Platonic" global agreement is only one facet of a broader representational landscape.
By intelligently fusing Wiener Chaos Expansion with Neural Operators, this new method cracks the notoriously difficult problem of simulating singular stochastic PDEs without relying on computationally expensive renormalization techniques.