{
  "video_id": "bbdf54b98f0f6e5f",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 3,
    "production_ready": 2
  },
  "junk_penalty": 0,
  "avg_score": 2.75,
  "effective_score": 2.75,
  "verdict": "promote",
  "one_line_reason": "Direkt auf Aria-Kernprobleme zugeschnitten (Memory-Design, Feedback-Loops, Multi-Layer-Governance), neue Architektur-Prinzipien für nicht-stationäre Umgebungen, empirisch validiert, sauber argumentiert.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001876,
  "triaged_at": "2026-06-17T15:04:16.674686+00:00"
}