{
  "id": "2606.26904",
  "title": "Confidence-Aware Tool Orchestration for Robust Video Understanding",
  "first_seen": "2026-06-26",
  "published_date": "2026-06-25",
  "observed_dates": [
    "2026-06-26"
  ],
  "score": {
    "novelty": 79,
    "practical_impact": 84,
    "technical_depth": 63,
    "implementation_potential": 43,
    "relevance": 70,
    "community_signal": 53,
    "summary_confidence": 70,
    "overall": 68,
    "weights": {
      "novelty": 0.2,
      "practical_impact": 0.2,
      "technical_depth": 0.15,
      "implementation_potential": 0.15,
      "relevance": 0.15,
      "community_signal": 0.1,
      "summary_confidence": 0.05
    }
  },
  "recommendation": "Worth Watching",
  "categories": [
    "Blind Trust Problem",
    "agentic video understanding",
    "calibrated reliability score",
    "confidence-cost GRPO reward",
    "evidence interface",
    "reliability-relevance score"
  ],
  "innovation_summary": "Confidence-Aware Tool Orchestration for Robust Video Understanding: To address this challenge, we propose Robust-TO, an agentic video understanding framework that explicitly integrates per-frame trustworthiness into every stage of reasoning.",
  "why_it_matters": [
    "Overall signal 68/100 driven by novelty 79 and practical impact 84.",
    "Primary categories: Blind Trust Problem, agentic video understanding, calibrated reliability score, confidence-cost GRPO reward, evidence interface, reliability-relevance score.",
    "Community signal includes 6 upvote(s) and 1 comment(s), which helps separate durable interest from title-only curiosity."
  ],
  "implementation_angle": [
    "Implementation potential scores 43/100; prioritize adaptation paths for internal agent, evaluation, or platform workflows.",
    "No linked repository is present, so expect more translation work before the ideas are production-ready.",
    "Technical depth scores 63/100, so a quick skim should focus on architecture, data, and evaluation sections before full adoption work."
  ],
  "caveat": "Evidence appears benchmark-centric, so verify transfer to production workloads before acting on the claims.",
  "links": {
    "hugging_face": "https://huggingface.co/papers/2606.26904",
    "arxiv": "https://arxiv.org/abs/2606.26904",
    "project": [
      "https://rova-v2.github.io/"
    ]
  }
}