2601.07356v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:11.819000Z",
      "hash": "1f4d810f769d8ac42029253ddf564c408c51ec116b32a3803f581b5f0728a504",
      "id": "206c54e9-a987-435a-879d-9c7576af2f16",
      "source": {
        "execution_id": "de4a393f-54ce-46f0-b825-9265d9f57f61",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "1f4d810f769d8ac42029253ddf564c408c51ec116b32a3803f581b5f0728a504",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.07356v1.pdf",
      "size": 2593086
    },
    "source": {
      "execution_id": "ba9574db-558e-475c-9b09-7010dc9c642d",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 5,
      "producer": "pikepdf 8.15.1",
      "title": "Efficient Convolutional Forward Model for Passive Acoustic Mapping and Temporal Monitoring",
      "version": "1.7"
    },
    "source": {
      "execution_id": "3d9148cf-43f2-4f08-9d46-2c24add3465a",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}