@ARTICLE{2026arXiv260812470T,
       author = {{Tirapongprasert}, Chaipat and {Ho}, Matthew},
        title = "{Don't Cut Corners: How Training Outside the Prior Makes Simulation-Based Inference More Robust}",
      journal = {arXiv e-prints},
     keywords = {Instrumentation and Methods for Astrophysics, Machine Learning},
         year = 2026,
        month = aug,
          eid = {arXiv:2608.12470},
        pages = {arXiv:2608.12470},
          doi = {10.48550/arXiv.2608.12470},
archivePrefix = {arXiv},
       eprint = {2608.12470},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026arXiv260812470T},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}