{
  "video_id": "9ec8f19baeebb93c",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation",
  "scores": {
    "depth": 2,
    "novelty": 2,
    "aria_relevance": 1,
    "production_ready": 1
  },
  "junk_penalty": 1,
  "avg_score": 1.5,
  "effective_score": 1.0,
  "verdict": "skip",
  "one_line_reason": "Solid multi-objective RL approach to filter bubbles (Pareto-DQN), aber auf MovieLens-small validiert, nicht Production-ready; moderate Aria-Relevanz (Multi-Objective Optimization ja, aber kein Agent-Pattern/Memory/Distribution-Focus).",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001833,
  "triaged_at": "2026-06-24T15:02:07.696923+00:00"
}