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Department of Astronomy, The Ohio State University, 140 West 18th Avenue, Columbus, OH 43210, USA, Center for Cosmology and AstroParticle Physics (CCAPP), The Ohio State University, Columbus, OH 43210, USA
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Simple MLPs pre-trained on low-resolution spectra can generalize surprisingly well to higher-resolution data for stellar parameter estimation, sometimes outperforming transformer-based embeddings.
Historical astronomical literature contains predictive structure for future concept-object associations that is missed by both recency heuristics and neighborhood-based methods.