{
  "id": "2607.05804",
  "title": "TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training",
  "first_seen": "2026-07-08",
  "published_date": "2026-07-07",
  "observed_dates": [
    "2026-07-08"
  ],
  "score": {
    "novelty": 53,
    "practical_impact": 48,
    "technical_depth": 63,
    "implementation_potential": 43,
    "relevance": 46,
    "community_signal": 63,
    "summary_confidence": 70,
    "overall": 53,
    "weights": {
      "novelty": 0.2,
      "practical_impact": 0.2,
      "technical_depth": 0.15,
      "implementation_potential": 0.15,
      "relevance": 0.15,
      "community_signal": 0.1,
      "summary_confidence": 0.05
    }
  },
  "recommendation": "Skip",
  "categories": [
    "ALFWorld",
    "Multi-Hop Search",
    "WebShop",
    "adaptive rollout-depth budgeting",
    "on-policy distillation",
    "progressive turn-normalized loss budgeting"
  ],
  "innovation_summary": "TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training: We identify two key inefficiencies in vanilla agent OPD: (1) full-horizon rollouts often waste wall-clock resources on tail turns that provide weak and noisy KL supervision,.",
  "why_it_matters": [
    "Overall signal 53/100 driven by novelty 53 and practical impact 48.",
    "Primary categories: ALFWorld, Multi-Hop Search, WebShop, adaptive rollout-depth budgeting, on-policy distillation, progressive turn-normalized loss budgeting.",
    "Community signal includes 8 upvote(s) and 1 comment(s), which helps separate durable interest from title-only curiosity."
  ],
  "implementation_angle": [
    "Implementation potential scores 43/100; prioritize adaptation paths for internal agent, evaluation, or platform workflows.",
    "No linked repository is present, so expect more translation work before the ideas are production-ready.",
    "Technical depth scores 63/100, so a quick skim should focus on architecture, data, and evaluation sections before full adoption work."
  ],
  "caveat": "No linked implementation is available yet, which raises integration cost and lowers reproducibility confidence.",
  "links": {
    "hugging_face": "https://huggingface.co/papers/2607.05804",
    "arxiv": "https://arxiv.org/abs/2607.05804"
  }
}