{
  "abstract": "Recent DESI observations hint at a preference for dynamical dark energy with an equation of state that crosses the phantom divide within the Chevallier-Polarski-Linder (CPL) parameterization. In this work, we assess the consistency of the CPL parameterization with current cosmological observations. We develop a model check based on the disagreement between posteriors inferred by neural posterior estimation and flow-matching posterior estimation. Both estimators are trained on the same CPL simulations, and their posterior disagreement is calibrated using independent simulations to obtain a global $p$-value. Controlled simulations assess the reliability of the calibrated \\(p\\)-values and show how detection sensitivity depends on the form of departure from the assumed model. Applying the test to the compressed CMB+DESI+DESY5 data vector yields $p_{\\rm global}=0.524$, indicating that the current observations are consistent with the CPL model. The method has a median evaluation time of only $0.53\\,{\\rm s}$, enabling efficient assessments of cosmological model adequacy. This framework enables efficient tests of dark-energy models, providing a firmer basis for investigating the physical origin of cosmic acceleration.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.31044",
  "author_total": 6,
  "authors": [
    {
      "name": "Tian-Yang Sun"
    },
    {
      "name": "Tian-Nuo Li"
    },
    {
      "name": "Guo-Hong Du"
    },
    {
      "name": "He Wang"
    },
    {
      "name": "Jing-Fei Zhang"
    },
    {
      "name": "Xin Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dqdwng8qa7mhp.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.31044",
  "fulltext_url": null,
  "id": "dqdwng8qa7mhp",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.31044",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "astro-ph.CO"
    ],
    [
      "arxiv",
      "gr-qc"
    ],
    [
      "arxiv",
      "hep-ph"
    ],
    [
      "openalex",
      "3103|Cosmology and Gravitation Theories"
    ]
  ],
  "openalex": "W7223269651",
  "pdf_url": "https://arxiv.org/pdf/2610.31044",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dqdwng8qa7mhp.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:34:34Z",
      "native_id": "2610.31044",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.31044"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.CO",
      "subfield": "cosmology"
    },
    {
      "field": "physics",
      "origin": "arxiv:gr-qc",
      "subfield": "gravitation"
    },
    {
      "field": "physics",
      "origin": "arxiv:hep-ph",
      "subfield": "high-energy"
    }
  ],
  "title": "Assessing the consistency of the CPL dark-energy model with cosmological data: Simulation-calibrated neural posterior disagreement",
  "title_text": "Assessing the consistency of the CPL dark-energy model with cosmological data: Simulation-calibrated neural posterior disagreement",
  "type": "preprint",
  "updated_at": "2026-10-30T12:34:34Z",
  "url": "https://research.draconitic.com/paper/dqdwng8qa7mhp",
  "venue": "arXiv",
  "versions": []
}