{
  "absUrl": "https://arxiv.org/abs/2610.08844v1",
  "arxivId": "2610.08844",
  "arxivVersion": 1,
  "arxivVersionedId": "2610.08844v1",
  "authors": [
    {
      "affiliations": [
        "Department of Computational Linguistics, University of Zurich, Switzerland"
      ],
      "name": "Aref Farhadipour"
    },
    {
      "affiliations": [
        "Department of Computational Linguistics, University of Zurich, Switzerland"
      ],
      "name": "Teodora Vukovic"
    },
    {
      "affiliations": [
        "Idiap Research Institute, Switzerland",
        "Brno University of Technology, Czech Republic"
      ],
      "name": "Petr Motlicek"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2610.08844v1",
  "originalTitle": "UZH-CL at ArA-DF 2026: Prompt-Tuned Foundation Models and Track-Adaptive Score Fusion for Arabic Speech Deepfake Detection",
  "pdfUrl": "https://arxiv.org/pdf/2610.08844v1.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}