{
  "video_id": "b0e752fbbd3f4dd6",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "StepPRM-RTL: Stepwise Process-Reward Guided LLM Fine-Tuning for Enhanced RTL Synthesis",
  "scores": {
    "depth": 3,
    "novelty": 3,
    "aria_relevance": 2,
    "production_ready": 1
  },
  "avg_score": 2.25,
  "verdict": "promote",
  "one_line_reason": "Substanzielle Kombination von PRM + MCTS + RAFT für Multi-Step-Reasoning mit starkem Eval-Signal; hohe Aria-Relevanz für Reward-Modeling und Agent-Training, aber Hardware-RTL-spezifisch und keine Public-Implementation sichtbar.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.001909,
  "triaged_at": "2026-06-04T15:03:10.836629+00:00"
}