{
  "video_id": "2bf45dd6bffe5999",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "Parallel Context Compaction for Long-Horizon LLM Agent Serving",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 3,
    "production_ready": 2
  },
  "avg_score": 2.75,
  "verdict": "promote",
  "one_line_reason": "Novel parallel context compaction architecture directly addresses Aria's core challenges in long-horizon agent memory management, context window overflow, and inference latency with empirical validation across multiple model scales.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.0013740000000000002,
  "triaged_at": "2026-05-25T15:01:06.905763+00:00"
}