{
  "video_id": "2606.04889",
  "channel": "cs.CL",
  "title": "GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards",
  "scores": {
    "depth": 2,
    "novelty": 2,
    "aria_relevance": 2,
    "production_ready": 2
  },
  "avg_score": 2.0,
  "verdict": "promote",
  "one_line_reason": "Substantielle RL-Methode für LLM-Reasoning mit Token-Level-Granularität, direkt relevant für Eval/Training-Architektur; empirisch validiert ohne PRM-Overhead.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.0016690000000000001,
  "triaged_at": "2026-06-04T15:01:26.426238+00:00"
}