{
  "annotation_id": "c079c5b0-a76b-4634-81fe-8bdb1b6b9114",
  "date_created": "2026-02-17T05:53:08.670000Z",
  "date_modified": "2026-02-17T05:53:08.670000Z",
  "file_hash": "f329cd16a50555a07ee77d768626d1102d6198ffa509893e1a363d30f086075f",
  "private": false,
  "record": {
    "abstract": "We realize bosonic string theory with ensembles of infinite width neural networks. The string tension is tuned by the variance of the output weights. The construction provides a new computation of the foundational Virasoro-Shapiro and Veneziano amplitudes as neural network correlators.",
    "arxiv_id": "2601.06249",
    "authors": [
      "Samuel Frank",
      "James Halverson"
    ],
    "categories": [
      "hep-th"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "String Theory from Infinite Width Neural Networks",
    "url": "https://arxiv.org/abs/2601.06249",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0de551bd-78d7-40e0-a324-7f4b4a58547c",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}