2601.06518v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.711000Z",
      "hash": "60a696fb4733da57f35cb9c9837748850752b626a067a25d769fcc048bd49297",
      "id": "da281791-7de8-4b37-b023-268e1da9c4dc",
      "source": {
        "execution_id": "527fd449-e3ab-4e41-832f-f0bda5d28cad",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "60a696fb4733da57f35cb9c9837748850752b626a067a25d769fcc048bd49297",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06518v1.pdf",
      "size": 31208481
    },
    "source": {
      "execution_id": "a6d2f626-1ff4-4007-8da3-668f9806fac1",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 7,
      "producer": "pikepdf 8.15.1",
      "title": "Bridging Robustness and Efficiency: Real-Time Low-Light Enhancement via Attention U-Net GAN",
      "version": "1.7"
    },
    "source": {
      "execution_id": "a787ee9c-7540-4dc8-a86b-b1e85affe33f",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}