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Sparse Reconstruction by Direct Measurement-to-Field Generation in Function Space
Understanding physical systems often requires recovering their full spatial state from measurements available only at sparse locations. This reconstruction becomes challenging when physical boundaries are unknown, high-resolution training fields are unavailable, or important quantities cannot be mea
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