{
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  "affiliations": [
    "Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, Paris, France",
    "Rudolf Peierls Centre for Theoretical Physics, Clarendon Laboratory, Oxford OX1 3PU, UK",
    "Simons Center for Computational Physical Chemistry, New York University,New York (NY), USA"
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  "author_total": 1,
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      "name": "Werner Krauth",
      "orcid": "0000-0003-0183-6726"
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  "bibtex": "https://research.draconitic.com/paper/b8jrjvphvr3z6.bib",
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  "doi": "10.1016/j.jcp.2026.115478",
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  "id": "b8jrjvphvr3z6",
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  "landing_url": "https://doi.org/10.2139/ssrn.5358688",
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  "native_subjects": [
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  "published": "2026-10-08",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/b8jrjvphvr3z6.ris",
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    {
      "field": "mathematics",
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  "title": "Hamiltonian Monte Carlo vs. event-chain Monte Carlo: An appraisal of sampling strategies beyond the diffusive regime",
  "title_text": "Hamiltonian Monte Carlo vs. event-chain Monte Carlo: An appraisal of sampling strategies beyond the diffusive regime",
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  "updated_at": "2026-11-07T13:20:42Z",
  "url": "https://research.draconitic.com/paper/b8jrjvphvr3z6",
  "venue": "Journal of Computational Physics",
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}