{
  "absUrl": "https://arxiv.org/abs/2610.12393v1",
  "arxivId": "2610.12393",
  "arxivVersion": 1,
  "arxivVersionedId": "2610.12393v1",
  "authors": [
    {
      "affiliations": [
        "School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics"
      ],
      "name": "Qun Dai"
    },
    {
      "affiliations": [
        "School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics"
      ],
      "name": "Liangjian Wen"
    },
    {
      "affiliations": [
        "School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics",
        "Chengdu Everimaging Science and Technology Co., Ltd"
      ],
      "name": "Jiang Duan"
    },
    {
      "affiliations": [
        "X-Humanoid"
      ],
      "name": "Yong Dai"
    },
    {
      "affiliations": [
        "School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics"
      ],
      "name": "Dongkai Wang"
    },
    {
      "affiliations": [
        "Hong Kong Institute of AI for Science, City University of Hong Kong"
      ],
      "name": "Maolin Wang"
    },
    {
      "affiliations": [
        "Zhejiang Sci-Tech University"
      ],
      "name": "Mingjie Wang"
    },
    {
      "affiliations": [
        "Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences"
      ],
      "name": "Jianzhuang Liu"
    },
    {
      "affiliations": [
        "Chengdu Everimaging Science and Technology Co., Ltd"
      ],
      "name": "He Yan"
    },
    {
      "affiliations": [
        "University of Electronic Science and Technology of China"
      ],
      "name": "Zhao Kang"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2610.12393v1",
  "originalTitle": "HRIL: Learning Multimodal Synergy via Higher-Order Tensor Modeling",
  "pdfUrl": "https://arxiv.org/pdf/2610.12393v1.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}