{
  "id": 17761,
  "url": "https://arxiv.org/abs/2608.06549",
  "title": "TradeVerse: A Longitudinal Benchmark of Political Negotiation in International Trade",
  "summary": "arXiv:2608.06549v1 Announce Type: cross Abstract: LLMs are increasingly being applied to tasks involving institutional and political texts, but existing benchmarks evaluate them on isolated documents or single tasks. In realpolitik, negotiations are longitudinal data, where participating parties can align or argue over multiple iterations and each turn is an outcome of the previous turns, hence, understanding one turn requires tracking everything before it. We introduce TradeVerse, a benchmark b",
  "authors": "Debodeep Banerjee, Amitangshu Dasgupta",
  "category": "research",
  "topics": "privacy-surveillance",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17761",
  "original_url": "https://arxiv.org/abs/2608.06549",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}