{
  "video_id": "e8dcfe973666145a",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 2,
    "production_ready": 1
  },
  "junk_penalty": 0,
  "avg_score": 2.25,
  "effective_score": 2.25,
  "verdict": "promote",
  "one_line_reason": "Theoretisch fundierte Multi-Agent-RL-Architektur mit Inverse-Planning-Formulierung und mathematischem Beweis; starke Relevanz für Agent-Koordination und Observability, aber Umsetzbarkeit noch académisch.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.0018249999999999998,
  "triaged_at": "2026-07-02T15:02:21.360958+00:00"
}