{
  "id": 18808,
  "url": "https://arxiv.org/abs/2608.11381v1",
  "title": "From Numbers to Judgment: Specialist LLM Agents and Reinforcement Learning for European Listed Real Estate",
  "summary": "We study whether the localized numerical operations and integrative judgments of financial analysis benefit from the same form of LLM specialization. Larix maps a 16-lens European listed-real-estate analysis framework to eight lens-aligned specialists; we compare a frontier LLM under monolithic versus specialist-decomposed prompting while holding the model, source evidence, task instructions, output schema, and scoring fixed. Across 19 firms spanning seven regulatory wrappers, decomposition impr",
  "authors": "Pardis Taghavi, Santosh Bhavani",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-08-11T19:42:15.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18808",
  "original_url": "https://arxiv.org/abs/2608.11381v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}