{
  "id": 9055378,
  "title": "Blind Thermodynamic Ontology Discovery from Anonymous Experiments",
  "url": "https://urgent.news/2026/09/20/blind-thermodynamic-ontology-discovery-from-anonymous-experiments",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-20T06:11:40.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.23387v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Before a machine learning model can learn a thermodynamic equation of state, it must discover what its measurements represent: which channels scale with system size, which are intensive conjugates, how sectors pair through contact, and which potential governs stability. When sensors expose only an unknown linear mixture of extensive states and intensive responses, passive observations cannot…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}