{
  "id": 3414215,
  "title": "Reading Is Not Using: Retrieval, Judgment, and the Design of AI Financial Research Workflows",
  "url": "https://urgent.news/2026/08/25/reading-is-not-using-retrieval-judgment-and-the-design-of-ai",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T17:31:25.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.24842v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models (LLMs) are increasingly deployed as AI analysts to process financial disclosures and support AI-assisted investment decisions. Yet such systems are usually evaluated by what they can retrieve, not whether retrieved information affects their judgments. We identify a retrieval-integration gap in long-context financial analysis. Holding focal-firm information fixed and varying…",
  "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."
}