{
  "source_archive_sha256": "78cc14509ea4b3fa0599fb90656dc1e4f7c6dd79e399d5e83278d692c21e4d82",
  "numeric_origin": "supplied_manuscript_with_verified_corrections",
  "reconstruction": {
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        "NRGBD",
        "7-Scenes",
        "TUM-dynamics"
      ],
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          "method": "CUT3R",
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        },
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          "method": "TTT3R",
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          ]
        },
        {
          "method": "StreamVGGT",
          "paper_method": "StreamVGGT",
          "values": [
            "0.085",
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            "0.079",
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          ]
        },
        {
          "method": "LongStream",
          "paper_method": "LongStream",
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            "0.031",
            "0.709",
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          ]
        },
        {
          "method": "Stable3R",
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            "0.035",
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            "0.079",
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            "0.051",
            "0.028",
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          ]
        }
      ],
      "source": "table/short_exp.tex",
      "label": "tab:short_eval"
    },
    "mid": {
      "datasets": [
        "NRGBD",
        "7-Scenes",
        "TUM-dynamics"
      ],
      "rows": [
        {
          "method": "CUT3R",
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          "method": "TTT3R",
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        },
        {
          "method": "StreamVGGT",
          "paper_method": "StreamVGGT",
          "values": [
            "0.079",
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            "0.059",
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        },
        {
          "method": "LongStream",
          "paper_method": "LongStream",
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            "0.045",
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            "0.615",
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          ]
        },
        {
          "method": "Stable3R",
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          "values": [
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            "0.010",
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            "0.019",
            "0.010",
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          ]
        }
      ],
      "source": "table/short_exp.tex",
      "label": "tab:short_eval"
    },
    "long": {
      "datasets": [
        "7-Scenes",
        "NRGBD"
      ],
      "rows": [
        {
          "method": "CUT3R",
          "paper_method": "CUT3R",
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            "0.014",
            "0.543",
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            "0.580",
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          ]
        },
        {
          "method": "TTT3R",
          "paper_method": "TTT3R",
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            "0.023",
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            "0.100",
            "0.056",
            "0.048",
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        },
        {
          "method": "LongStream",
          "paper_method": "LongStream",
          "values": [
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            "0.006",
            "0.630",
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          ]
        },
        {
          "method": "InfiniteVGGT",
          "paper_method": "InfiniteVGGT",
          "values": [
            "0.041",
            "0.021",
            "0.026",
            "0.005",
            "0.565",
            "0.599",
            "0.067",
            "0.044",
            "0.022",
            "0.004",
            "0.634",
            "0.730"
          ]
        },
        {
          "method": "OVGGT",
          "paper_method": "OVGGT",
          "values": [
            "0.028",
            "0.012",
            "0.020",
            "0.004",
            "0.576",
            "0.617",
            "0.033",
            "0.023",
            "0.011",
            "0.003",
            "0.641",
            "0.738"
          ]
        },
        {
          "method": "FrameVGGT*",
          "paper_method": "FrameVGGT*",
          "values": [
            "0.029",
            "0.013",
            "0.022",
            "0.004",
            "0.581",
            "0.626",
            "0.030",
            "0.021",
            "0.013",
            "0.004",
            "0.680",
            "0.807"
          ]
        },
        {
          "method": "LingBot-Map",
          "paper_method": "LingBot-Map",
          "values": [
            "0.019",
            "0.009",
            "0.018",
            "0.003",
            "0.571",
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            "0.025",
            "0.016",
            "0.007",
            "0.002",
            "0.618",
            "0.693"
          ]
        },
        {
          "method": "Stable3R (w/ FrameVGGT*)",
          "paper_method": "Ours",
          "values": [
            "0.020",
            "0.010",
            "0.014",
            "0.003",
            "0.572",
            "0.610",
            "0.029",
            "0.018",
            "0.009",
            "0.003",
            "0.627",
            "0.707"
          ]
        },
        {
          "method": "Stable3R (direct)",
          "paper_method": "Ours(direct)",
          "values": [
            "0.013",
            "0.005",
            "0.015",
            "0.004",
            "0.572",
            "0.611",
            "0.018",
            "0.011",
            "0.007",
            "0.002",
            "0.645",
            "0.738"
          ]
        }
      ],
      "source": "body/4.experiments.tex",
      "label": "tab:long_seq_results"
    }
  },
  "pose": {
    "datasets": [
      "Sintel",
      "TUM-dynamics",
      "ScanNet"
    ],
    "rows": [
      {
        "method": "CUT3R",
        "paper_method": "CUT3R",
        "values": [
          "0.210",
          "0.071",
          "0.607",
          "0.045",
          "0.014",
          "0.439",
          "0.105",
          "0.022",
          "0.627"
        ]
      },
      {
        "method": "TTT3R",
        "paper_method": "TTT3R",
        "values": [
          "0.209",
          "0.082",
          "0.683",
          "0.029",
          "0.013",
          "0.380",
          "0.072",
          "0.021",
          "0.805"
        ]
      },
      {
        "method": "StreamVGGT",
        "paper_method": "StreamVGGT",
        "values": [
          "0.232",
          "0.082",
          "0.669",
          "0.025",
          "0.012",
          "0.311",
          "0.048",
          "0.020",
          "0.629"
        ]
      },
      {
        "method": "LongStream",
        "paper_method": "LongStream",
        "values": [
          "0.194",
          "0.076",
          "0.604",
          "0.036",
          "0.014",
          "0.366",
          "0.037",
          "0.014",
          "0.431"
        ]
      },
      {
        "method": "Stable3R",
        "paper_method": "Ours",
        "values": [
          "0.116",
          "0.054",
          "0.425",
          "0.017",
          "0.009",
          "0.304",
          "0.034",
          "0.013",
          "0.374"
        ]
      }
    ],
    "source": "body/4.experiments.tex",
    "label": "tab:pose_evaluation"
  },
  "notes": [
    "Pose dataset headers are corrected to Sintel, TUM-dynamics, and ScanNet; all underlying pose values are unchanged.",
    "LingBot-Map NRGBD NC is corrected to mean 0.618 and median 0.693, verified against the original nine-scene 300-frame evaluation log.",
    "The teaser's reconstruction bars differ from the active reconstruction table. Only the probe panel is displayed; numeric tables use the active TeX rows with the explicitly recorded publication corrections.",
    "Long results are the manuscript's 300-frame experiment. Direct full-history inference and FrameVGGT* (16 mid-memory frames + 4 sparse anchors) are labeled separately."
  ],
  "publication_corrections": [
    {
      "date": "2026-10-28",
      "id": "pose_dataset_headers",
      "before": [
        "TUM-dynamics",
        "Sintel",
        "ScanNet"
      ],
      "after": [
        "Sintel",
        "TUM-dynamics",
        "ScanNet"
      ],
      "evidence": "Author-confirmed camera-ready correction; numeric pose columns unchanged."
    },
    {
      "date": "2026-10-28",
      "id": "lingbot_map_nrgbd_nc",
      "before": [
        "0.693",
        null
      ],
      "after": [
        "0.618",
        "0.693"
      ],
      "evidence": "Original LingBot-Map NRGBD 300-frame evaluation, nine scenes.",
      "source_log_sha256": "e6e75dd3bfd2670b760d528e7277f75d83c5c45b8fea0e99c3d1222b5f7bae66",
      "verified_mean": 0.6177669680233757,
      "verified_median": 0.6930790303752603
    },
    {
      "date": "2026-10-28",
      "id": "framevggt_strategy_label",
      "before": "Stable3R (w/ FERM)",
      "after": "Stable3R (w/ FrameVGGT*)",
      "evidence": "Author-confirmed strategy naming; same reported values, 16-frame mid-memory and 4 sparse anchors."
    }
  ]
}