2601.06392v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.561000Z",
      "hash": "b4ac0257587b3c8cbead2dfb3dad34b2ec834ca647aa305405ad338ef3a6d456",
      "id": "e8f4a66f-e720-4cdb-a119-dc6024d1ee44",
      "source": {
        "execution_id": "89e2ab9d-1d13-4d46-a056-573802df8ada",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "b4ac0257587b3c8cbead2dfb3dad34b2ec834ca647aa305405ad338ef3a6d456",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06392v1.pdf",
      "size": 1851556
    },
    "source": {
      "execution_id": "f02dffb4-d91f-47cc-b4f4-523365322b8c",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 19,
      "producer": "pikepdf 8.15.1",
      "title": "Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing",
      "version": "1.7"
    },
    "source": {
      "execution_id": "2a54c805-5b47-4c77-ae6b-2fcab75954ea",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}