{
  "absUrl": "https://arxiv.org/abs/2610.31202v1",
  "arxivId": "2610.31202",
  "arxivVersion": 1,
  "arxivVersionedId": "2610.31202v1",
  "authors": [
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Chi-En Dai"
    },
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Chih-Pin Tan"
    },
    {
      "affiliations": [
        "机构信息未能在本次解析中与作者逐人可靠绑定"
      ],
      "name": "Yi-Hsuan Yang"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2610.31202v1",
  "originalTitle": "Predicting Music Valence and Arousal via Textual and Multimodal In-Context Learning in Large Language Models",
  "pdfUrl": "https://arxiv.org/pdf/2610.31202v1.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}