Physics-Informed Cross-Modal Attention (PI-CMA) Reveals Physically Consistent Geomagnetic–Seismic–Hydrologic Precursory Coupling
This paper introduces the Physics-Informed Cross-Modal Attention (PI-CMA) model, which aligns geomagnetic, seismic, and hydrologic data to reveal that while the method achieves competitive predictive performance, its learned attention weights primarily reflect baseline structural correlations rather than statistically significant, event-specific earthquake precursors.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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