{
  "video_id": "2607.06287",
  "channel": "cs.LG",
  "title": "Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension",
  "scores": {
    "depth": 3,
    "novelty": 2,
    "aria_relevance": 1,
    "production_ready": 1
  },
  "junk_penalty": 0,
  "avg_score": 1.75,
  "effective_score": 1.75,
  "verdict": "summary_only",
  "one_line_reason": "Rigorose theoretische Analyse von Kernel-Operator-Learning mit expliziten Skalierungsgesetzen, aber marginal relevant für Aria's Multi-Agent/LLM-Fokus; eher ML-Systems/Scientific-Computing-Nische.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.00182,
  "triaged_at": "2026-07-08T15:01:10.583253+00:00"
}