{
  "id": 1619426,
  "title": "AutoSR: Automatic Symbolic Regression by Searching Research States",
  "url": "https://urgent.news/2026/08/17/autosr-automatic-symbolic-regression-by-searching-research-states",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-17T17:55:26.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.16876v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "We introduce Automatic Symbolic Regression (AutoSR), a fully automated system that instantiates Research-Space Symbolic Regression by searching persistent scientific investigations rather than isolated equations. Finite, noisy data often yield numerically competitive expressions that imply very different behavior outside the observed regime, making numerical fit and syntactic complexity…",
  "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."
}