{
  "video_id": "33e7fad481214e4e",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents",
  "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": "ATOD ist direktes Multi-Agent-Hybrid-Training (OPD+RL-Annealing) mit Turn-aware Reweighting für Long-Horizon Tasks; starke theoretische Substanz, empirisch validiert, hochrelevant für Aria-Agent-Engineering, aber Code-Availability unklar.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.00197,
  "triaged_at": "2026-06-29T15:00:44.164569+00:00"
}