2601.07396v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:12.590000Z",
      "hash": "2fd9866b7ff30f0ccbe6ead04b0a314d30d43c17a85ab6ed5211f8a0b3518070",
      "id": "d44b644f-a26e-493d-93cb-56c5c8f8cd15",
      "source": {
        "execution_id": "e9c77067-6e3c-4301-b9b7-71ee2f1e16cb",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "2fd9866b7ff30f0ccbe6ead04b0a314d30d43c17a85ab6ed5211f8a0b3518070",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.07396v1.pdf",
      "size": 6635399
    },
    "source": {
      "execution_id": "fc1d0c5f-f1fa-41aa-9729-4d6dc7364383",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 10,
      "producer": "pikepdf 8.15.1",
      "title": "Forecast the Principal, Stabilize the Residual: Subspace-Aware Feature Caching for Efficient Diffusion Transformers",
      "version": "1.7"
    },
    "source": {
      "execution_id": "2723cad6-5655-405e-985a-ce7eae6370c1",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}