{
  "video_id": "2607.00724",
  "channel": "cs.CL",
  "title": "MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 2,
    "production_ready": 2
  },
  "junk_penalty": 0,
  "avg_score": 2.5,
  "effective_score": 2.5,
  "verdict": "promote",
  "one_line_reason": "Rigorose Benchmark-Arbeit mit starkem empirischem Design (nativ sourced, multi-dimensionale Analyse), deckt blind spot in LLM-Eval auf (Illusion of Cultural Alignment), zeigt Locality Effect und Inference-Remedies-Limits; aria_relevance moderat weil eher Eval-Framework als Architektur/Agent-Pattern.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001918,
  "triaged_at": "2026-07-02T15:00:57.086587+00:00"
}