{
  "video_id": "035e07e4ff2b002d",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "Fusion is not one-size-fits-all: Cross-Modal Representation Alignment for Time-to-Event Modeling",
  "scores": {
    "depth": 3,
    "novelty": 2,
    "aria_relevance": 1,
    "production_ready": 2
  },
  "junk_penalty": 0,
  "avg_score": 2.0,
  "effective_score": 2.0,
  "verdict": "summary_only",
  "one_line_reason": "Rigorous multimodal fusion research with strong empirical methodology, but domain-specific (clinical ML) with limited direct relevance to Aria's multi-agent/LLM architecture priorities.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001826,
  "triaged_at": "2026-06-16T15:03:08.203359+00:00"
}