{
  "id": 5001701,
  "title": "EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation",
  "url": "https://urgent.news/2026/09/01/evoscm-scientific-belief-revision-through-causal-model-evolution-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-01T16:55:56.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.01526v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Scientific agents must learn not only how to reason, but also what to believe. However, existing LLM agents typically express scientific hypotheses in free-form text, leaving their beliefs implicit and difficult to test or revise. We introduce EvoSCM, which equips scientific agents with explicit structural causal models that evolve as new experimental evidence is collected. EvoSCM maintains a…",
  "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."
}