{
  "abstract": "A self-supervised multimodal model recovers galaxy stellar masses from sparse JWST data that lack the multi-band coverage required by traditional SED fitting. We train on single-band F150W imaging paired with observed-frame 1-2 $μ$m PRISM spectra and obtain a joint image-spectrum representation that recovers stellar mass at $1<z\\le3$ with $R^2 \\sim 0.9$ and $σ_{\\mathrm{NMAD}} = 0.24$ dex; cross-modal CLIP alignment further raises single-modality performance by $ΔR^2 = +0.04$ (imaging) and $+0.09$ (spectroscopy), narrowing the gap to joint-modality inference. The code and documentation are available at \\href{https://github.com/2003cy/neurips2026_ssl_jwst}{GitHub}.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.31078",
  "author_total": 5,
  "authors": [
    {
      "name": "Yang Cheng"
    },
    {
      "name": "Morgan Fouesneau"
    },
    {
      "name": "Ivelina G. Momcheva"
    },
    {
      "name": "Tobias Buck"
    },
    {
      "name": "Shengxiu Sun"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dsgsw2mzqa6ty.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.31078",
  "fulltext_url": null,
  "id": "dsgsw2mzqa6ty",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.31078",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "astro-ph.GA"
    ],
    [
      "openalex",
      "3103|Galaxies: Formation, Evolution, Phenomena"
    ]
  ],
  "openalex": "W7223371197",
  "pdf_url": "https://arxiv.org/pdf/2610.31078",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dsgsw2mzqa6ty.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:34:34Z",
      "native_id": "2610.31078",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.31078"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.GA",
      "subfield": "galaxies"
    }
  ],
  "title": "Self-Supervised Representation Learning for JWST Galaxy Images and Low Resolution Spectra",
  "title_text": "Self-Supervised Representation Learning for JWST Galaxy Images and Low Resolution Spectra",
  "type": "preprint",
  "updated_at": "2026-10-30T12:34:34Z",
  "url": "https://research.draconitic.com/paper/dsgsw2mzqa6ty",
  "venue": "arXiv",
  "versions": []
}