{
  "video_id": "2605.28751",
  "channel": "cs.AI",
  "title": "Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 2,
    "production_ready": 2
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  "avg_score": 2.5,
  "verdict": "promote",
  "one_line_reason": "Neuartige Methode zur Pareto-Front-Extrapolation in Code-RL mit direkter Multi-Agent/Ensemble-Relevanz für Inference-Time-Scaling und Observability von Correctness-Efficiency-Tradeoffs.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.0015379999999999999,
  "triaged_at": "2026-05-28T15:00:06.350305+00:00"
}