arXiv:2604.02850v1 Announce Type: cross
Abstract: The ocean interior regulates Earth’s climate but remains sparsely observed due to limited in situ measurements, while satellite observations are restricted to the surface. We present a depth-aware gene…
arXiv:2312.06608v4 Announce Type: replace-cross
Abstract: The dynamics of many-body systems can often be captured in terms of only a few relevant variables. Mathematical and numerical approaches exist to identify these variables by exploiting a separa…
arXiv:2505.11349v3 Announce Type: replace
Abstract: Recent time-series foundation models exhibit strong abilities to predict physical systems. These abilities include zero-shot forecasting, in which a model forecasts future states of a system given on…
arXiv:2603.20904v3 Announce Type: replace-cross
Abstract: The proposed algorithm seeks to provide a novel data-driven framework for the discovery of stochastic differential equations (SDEs) by application of the Weak-formulation to stochastic SINDy. T…
arXiv:2603.23857v1 Announce Type: new
Abstract: The adoption of generative AI across commercial and legal professions offers dramatic efficiency gains — yet for law in particular, it introduces a perilous failure mode in which the AI fabricates ficti…