{
  "video_id": "2607.05201",
  "channel": "cs.LG",
  "title": "FlatManifold: Robust Continual Learning under Severe Label Noise and Domain Shifts via Intrinsic Manifold Flattening",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 1,
    "production_ready": 1
  },
  "junk_penalty": 0,
  "avg_score": 2.0,
  "effective_score": 2.0,
  "verdict": "summary_only",
  "one_line_reason": "Starke mathematische Tiefe & Novelitaet (Manifold-Flattening + RKHS), aber orthogonal zu Aria-Zielen (Multi-Agent, Memory, LLM-Distribution); reine akademische Theorie ohne praktische Code/Implementierung.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001903,
  "triaged_at": "2026-07-07T15:01:20.428499+00:00"
}