new run happened

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-search_query=cat:astro-ph.*+AND+lastUpdatedDate:[202408022000+TO+202408082000]&start=0&max_results=5000
-<h1>New astro-ph.* submissions cross listed on cs.AI, cs.LG, physics.data-an, stat.* staritng 202408022000 and ending 202408082000</h1>Feed last updated: 2024-08-08T00:00:00-04:00<a href="http://arxiv.org/pdf/2408.02581v1"><h2>Operational range bounding of spectroscopy models with anomaly detection</h2></a>Authors:  Luís F. Simões, Pierluigi Casale, Marília Felismino, Kai Hou Yip, Ingo P. Waldmann, Giovanna Tinetti, Theresa Lueftinger</br>Comments: To appear in "Proceedings of SPAICE 2024: 1st ESA/IAA conference on
+search_query=cat:astro-ph.*+AND+lastUpdatedDate:[202408032000+TO+202408092000]&start=0&max_results=5000
+<h1>New astro-ph.* submissions cross listed on cs.LG, cs.AI, stat.*, physics.data-an staritng 202408032000 and ending 202408092000</h1>Feed last updated: 2024-08-09T00:00:00-04:00<a href="http://arxiv.org/pdf/2408.02581v1"><h2>Operational range bounding of spectroscopy models with anomaly detection</h2></a>Authors:  Luís F. Simões, Pierluigi Casale, Marília Felismino, Kai Hou Yip, Ingo P. Waldmann, Giovanna Tinetti, Theresa Lueftinger</br>Comments: To appear in "Proceedings of SPAICE 2024: 1st ESA/IAA conference on
   AI in and for Space". Conference page at https://spaice.esa.int/</br>Primary Category: cs.LG</br>All Categories: cs.LG, astro-ph.IM, I.2.6; I.5.1; I.6.4; J.2</br><p>Safe operation of machine learning models requires architectures that
 explicitly delimit their operational ranges. We evaluate the ability of anomaly
 detection algorithms to provide indicators correlated with degraded model