{
  "abstract": "The complete, nonperturbative content of random matrix models is described by resurgent-transseries—general solutions to their corresponding string-equations. These transseries include exponentially-suppressed multi-instanton amplitudes obtained by eigenvalue tunneling, but they also contain exponentially-enhanced and mixed instanton-like sectors with no known matrix model interpretation. This work shows how these sectors can be also described by eigenvalue tunneling in matrix models—but on the non-physical sheet of the spectral curve describing their large- N N limit. This picture further explains the full resurgence of random matrices via analysis of all possible eigenvalue integration-contours. How to calculate these “anti” eigenvalue-tunneling amplitudes is explained in detail and in various examples, such as the cubic and quartic matrix models, and their double-scaling limit to Painlevé I. This further provides direct matrix-model derivations of their resurgent Stokes data, which were recently obtained by different techniques.",
  "abstract_shown": true,
  "affiliations": [
    "University of Geneva",
    "Centro de Análise Matemática Geometria e Sistemas Dinâmicos",
    "Instituto Superior Técnico",
    "Isaac Newton Institute for Mathematical Sciences",
    "University of Lisbon"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Marcos Mariño",
      "orcid": "0000-0002-4554-6408"
    },
    {
      "affs": [
        1,
        2,
        3,
        4
      ],
      "name": "Ricardo Schiappa",
      "orcid": "0000-0002-8195-9779"
    },
    {
      "affs": [
        1,
        2,
        3,
        4
      ],
      "name": "Maximilian Schwick",
      "orcid": "0000-0002-2516-2706"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8e0ffgq65s76r.bib",
  "cited_by": 38,
  "doi": "10.21468/scipostphys.21.4.098",
  "fulltext_url": null,
  "id": "8e0ffgq65s76r",
  "issns": [
    "2542-4653"
  ],
  "landing_url": "https://doi.org/10.21468/scipostphys.21.4.098",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2613|Random Matrices and Applications"
    ]
  ],
  "openalex": "W4307414104",
  "pdf_url": "https://scipost.org/10.21468/SciPostPhys.21.4.098/pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-21",
  "publisher": "SciPost.org",
  "ris": "https://research.draconitic.com/paper/8e0ffgq65s76r.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:17Z",
      "native_id": "W4307414104",
      "source": "openalex",
      "url": "https://doi.org/10.21468/scipostphys.21.4.098"
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      "source": "crossref",
      "url": "https://scipost.org/10.21468/SciPostPhys.21.4.098"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "openalex:2613|Random Matrices and Applications",
      "subfield": "statistics"
    }
  ],
  "title": "New instantons for matrix models",
  "title_text": "New instantons for matrix models",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T13:20:35Z",
  "url": "https://research.draconitic.com/paper/8e0ffgq65s76r",
  "venue": "SciPost Physics",
  "versions": []
}