{
  "absUrl": "https://arxiv.org/abs/2610.35497v1",
  "arxivId": "2610.35497",
  "arxivVersion": 1,
  "arxivVersionedId": "2610.35497v1",
  "authors": [
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Lei Zhao"
    },
    {
      "affiliations": [
        "University of Pennsylvania Philo Labs"
      ],
      "name": "Zongheng Cao"
    },
    {
      "affiliations": [
        "University of Pennsylvania Philo Labs"
      ],
      "name": "Xinyu Hu"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2610.35497v1",
  "originalTitle": "When Fine-Grained Credit Assignment Helps and Hurts: Multimodal Agentic Reinforcement Learning through Video Editing",
  "pdfUrl": "https://arxiv.org/pdf/2610.35497v1.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}