{
  "id": 19452900,
  "title": "Contrastive Discovery: Open-Ended Scientific Discovery over Competing Explanations",
  "url": "https://urgent.news/2026/11/10/contrastive-discovery-open-ended-scientific-discovery-over-competing",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-10T18:58:43.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.14514v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "LLM agents are increasingly used for open-ended, data-driven scientific discovery, yet most of them evaluate hypotheses pointwise, testing an empirical claim $h$ only against its complement $\\neg h$. When evidence rejects $h$, the agent learns that one explanation is unlikely but not which alternative the evidence supports. To recover that alternative, we introduce Contrastive Discovery, which…",
  "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."
}