2601.08420v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:16.197000Z",
      "hash": "2965574eb2061fa196ff5e84e12f9cd1c25493e83f107b69ce896c637259e741",
      "id": "6ba7cc1c-a139-4469-bc10-59c024edf3cc",
      "source": {
        "execution_id": "ad98ce87-4fe2-4df7-ad31-33e9c343b08b",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "2965574eb2061fa196ff5e84e12f9cd1c25493e83f107b69ce896c637259e741",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.08420v1.pdf",
      "size": 1675677
    },
    "source": {
      "execution_id": "d1ffe6ba-7034-41f2-817c-593dc1e68cb6",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 5,
      "producer": "pikepdf 8.15.1",
      "title": "MMLGNet: Cross-Modal Alignment of Remote Sensing Data using CLIP",
      "version": "1.7"
    },
    "source": {
      "execution_id": "40bcbbcb-9701-4114-b86e-eb41edf3e190",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}