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    <loc>https://datasets.openpressnews.com/world-modeling-agents-self-optimize-without-human-tuning-in-arxiv-breakthrough</loc>
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      <news:publication><news:name>OpenPress AI Datasets</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-09-03T04:00:00.000Z</news:publication_date>
      <news:title>World Modeling Agents Self-Optimize Without Human Tuning in arXiv Breakthrough</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://datasets.openpressnews.com/wmllm-introduces-self-evolving-optimization-agents-with-world-modeling</loc>
    <news:news>
      <news:publication><news:name>OpenPress AI Datasets</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-09-03T04:00:00.000Z</news:publication_date>
      <news:title>WMLLM Introduces Self-Evolving Optimization Agents with World Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://datasets.openpressnews.com/reckan-rewrites-neural-networks-with-learnable-polynomial-bases</loc>
    <news:news>
      <news:publication><news:name>OpenPress AI Datasets</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-09-03T04:00:00.000Z</news:publication_date>
      <news:title>RecKAN Rewrites Neural Networks with Learnable Polynomial Bases</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://datasets.openpressnews.com/breakthrough-in-stochastic-transport-surrogates-via-diffusion-schedules</loc>
    <news:news>
      <news:publication><news:name>OpenPress AI Datasets</news:name><news:language>en</news:language></news:publication>
      <news:publication_date>2026-09-03T04:00:00.000Z</news:publication_date>
      <news:title>Breakthrough in Stochastic Transport Surrogates via Diffusion Schedules</news:title>
    </news:news>
  </url>
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