{
  "video_id": "2606.18166",
  "channel": "cs.LG",
  "title": "Evaluating Open-Source LLMs for Multi-Label ATT&CK Technique Classification on CTI Reports",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 2,
    "production_ready": 3
  },
  "junk_penalty": 0,
  "avg_score": 2.75,
  "effective_score": 2.75,
  "verdict": "promote",
  "one_line_reason": "Rigoroses Benchmark-Paper mit echtem Ground-Truth-Dataset, statistischer Analyse und klarem Findings (F1=0.22 zeigt Production-Gap); hohes Relevanz-Signal fuer LLM-Eval-Patterns und ehrliche Failure-Attribution.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001965,
  "triaged_at": "2026-06-17T15:02:27.699734+00:00"
}