{
  "model": "J1J2",
  "lattice": "square",
  "n_sites": 400,
  "boundary": "P",
  "params": {
    "J2": 0.5
  },
  "instance_id": "J1J2/square_400_P_0.5",
  "rows": [
    {
      "energy": -794.87792,
      "sigma": 0.00096,
      "energy_variance": null,
      "dof": 400,
      "einf": 0,
      "v_score": null,
      "method": "CNN-MPS (h,D,l)=(32,15,20)",
      "bound_type": "variational",
      "bound_type_reason": "variational ansatz; energy is a strict upper bound (assigned during source verification)",
      "reference": "arXiv:2603.14425, Disentangling Tensor Network States with Deep Neural Networks",
      "peer_reviewed": false,
      "source": "sweep-2026-09-13",
      "provenance": "primary",
      "verified": {
        "checked_on": "2026-09-13",
        "method": "arXiv HTML parsed locally, no LLM transcription",
        "reported_as": "-0.4967987 (+/- 6e-7) per site in S.S units",
        "note": "Read from Table 1 of arXiv:2603.14425 (square-lattice J1-J2 at J2/J1=0.5, PBC, E per site in S.S units), parsed from the arXiv HTML. 20x20; no VarBench instance existed for this size.",
        "secondary_of": null
      }
    },
    {
      "energy": -794.7712,
      "sigma": 0.0016,
      "energy_variance": null,
      "dof": 400,
      "einf": 0,
      "v_score": null,
      "method": "ViT with symmetry restoration",
      "bound_type": "variational",
      "bound_type_reason": "variational ansatz; energy is a strict upper bound (assigned during source verification)",
      "reference": "Approaching the Thermodynamic Limit with Neural-Network Quantum States, arXiv:2602.02665",
      "peer_reviewed": false,
      "source": "sweep-2026-09-13",
      "provenance": "primary",
      "verified": {
        "checked_on": "2026-09-13",
        "method": "arXiv HTML parsed locally, no LLM transcription",
        "reported_as": "-0.496732 (+/- 0.000001) per site in S.S units",
        "note": "Read from Table 1 of arXiv:2603.14425 (square-lattice J1-J2 at J2/J1=0.5, PBC, E per site in S.S units), parsed from the arXiv HTML. Listed in Table 1 as the L=20 ViT 2026 value; matches the source paper's own symmetry-restoration sequence.",
        "secondary_of": null
      }
    }
  ],
  "url": "https://qmbl.org/i/J1J2/square_400_P_0.5/",
  "per_site_divisor": 1600,
  "per_site_label": "E/N (S.S)",
  "record": {
    "energy": -794.87792,
    "sigma": 0.00096,
    "method": "CNN-MPS (h,D,l)=(32,15,20)",
    "reference": "arXiv:2603.14425, Disentangling Tensor Network States with Deep Neural Networks",
    "energy_per_site": -0.49679870000000004
  },
  "no_record_reason": null
}