2601.20578v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "41f9a45f15cb4b2dd9a6f20e0c1eecdcaf0fdaaef34fa1f6d89a09bc8974ed9f",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.20578v1.pdf",
      "size": 1495475
    },
    "source": {
      "execution_id": "5e9a73b8-6d10-4ba1-bb4a-33d672e213cc",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-29T01:52:10Z",
      "keywords": [
        "Congestion Games",
        "Reinforcement Learning",
        "Multi-Agent Systems",
        "Fairness",
        "Transport Planning"
      ],
      "modified_date": "2026-01-29T01:52:10Z",
      "page_count": 10,
      "producer": "pikepdf 8.15.1",
      "title": "Inequality in Congestion Games with Learning Agents",
      "version": "1.7"
    },
    "source": {
      "execution_id": "310ee2ef-960f-4aeb-b74e-bb9d6dc947ab",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}