{
  "id": 1186,
  "url": "https://arxiv.org/abs/2606.11082v1",
  "title": "The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models",
  "summary": "This study investigates cross-lingual distributional skew (the Shibboleth Effect) in frontier large language models (LLMs) subjected to sustained adversarial conditions. We develop a multi-agent geopolitical wargame, the Cerulean Sea Crisis, a synthetic maritime territorial dispute designed to mirror the structural dynamics of Eastern Mediterranean conflicts. Six frontier models (GPT-4o, Llama-4, Mistral-Large, Gemini-3.1-Pro, Qwen3.6-Plus, and DeepSeek-R1) participate in a between-groups experi",
  "authors": "Hakan Mehmetcik",
  "category": "research",
  "topics": "agents-autonomy,transparency,finance-investment",
  "orgs": "google,mistral,deepseek",
  "regions": null,
  "published_at": "2026-06-09T16:42:00.000Z",
  "fetched_at": "2026-07-14T14:15:03.617Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1186",
  "original_url": "https://arxiv.org/abs/2606.11082v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}