{
  "id": 5456,
  "url": "https://arxiv.org/abs/2604.21501v2",
  "title": "GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation",
  "summary": "Lithology classification in well logs is a fundamental geoscience data mining task that aims to infer rock types from multi dimensional geophysical sequences. Despite recent progress, existing approaches typically formulate the problem as a static, single-step discriminative mapping. This static paradigm limits evidence-based diagnostic reasoning against geological standards, often yielding predictions that are detached from geological reality due to a lack of domain priors. In this work, we pro",
  "authors": "Yitong Zhou, Mingyue Cheng, Jiahao Wang, Qingyang Mao, Qi Liu",
  "category": "research",
  "topics": "bias-fairness,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-23T10:02:59.000Z",
  "fetched_at": "2026-07-14T16:31:44.627Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5456",
  "original_url": "https://arxiv.org/abs/2604.21501v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}