{
  "video_id": "2607.07702",
  "channel": "cs.CL",
  "title": "From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 3,
    "production_ready": 3
  },
  "junk_penalty": 0,
  "avg_score": 3.0,
  "effective_score": 3.0,
  "verdict": "promote",
  "one_line_reason": "Hochgradig relevant für Agent-Optimization: strukturierte Causal-Extraction aus Traces als direkt umsetzbare Methode für Reflection-basierte LLM-Agent-Loops mit starker empirischer Validierung.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001818,
  "triaged_at": "2026-07-09T15:00:51.024791+00:00"
}