# Task 1.2 Ready Claims


## §4.3.3 CCF 无稳定领先-滞后结构

- significant pairs (p50): 0/6
- consistency_ratio range: 0.430 - 0.553, median=0.467
- median_lag range: 0.0 - 1.0 steps*1000
- Source: /root/autodl-tmp/SplatAtlas/analysis/data/causal_order_summary.json
- Fields: .p50.<pair>.consistency_ratio, .median_lag, .is_significant
- Raw snippet (first pair): {
  "p1": "anisotropy",
  "p2": "sh_dc_mag",
  "median_lag": 0.0,
  "dominant_direction": "unclear",
  "consistency_ratio": 0.4303097345132743,
  "binom_p_value": 0.9999883446001216,
  "is_significant": false
}

## §4.3.3 CCF lag 分布扩散度（补充）

| dim_pair | mean_lag | std_lag | median_lag |
|---|---|---|---|
| anisotropy_vs_sh_dc_mag | 1.642 | 3.618 | 0.000 |
| opacity_vs_anisotropy | -0.400 | 3.802 | 0.000 |
| opacity_vs_scaling | 1.225 | 2.871 | 1.000 |
| opacity_vs_sh_dc_mag | 1.069 | 3.054 | 1.000 |
| scaling_vs_anisotropy | -0.917 | 3.731 | 0.000 |
| scaling_vs_sh_dc_mag | 0.353 | 2.681 | 0.000 |
- Source: /root/autodl-tmp/SplatAtlas/analysis/data/ccf_results.csv
- Fields: dim_pair, peak_lag

## §4.4 论文分类 vs 轨迹聚类 ARI/NMI

- NOTE: shape_clustering_metrics.json 为空 (B-002)，数值来自 mainline_D12_8 stdout
- best_k = 4
- ARI = 0.025
- NMI = 0.061
- Source: mainline_D12_8.py stdout
- Fields: best_k, ARI, NMI

## §4.4 方法重分类

- 重分类方法数: 17
  - 2dgs: GEO_REG -> cluster 2 (majority: PRIM_CTRL), NN=steepgs
  - 3dgs_dr: RENDER -> cluster 2 (majority: PRIM_CTRL), NN=reactgs
  - 3dgsmcmc: FREE -> cluster 2 (majority: PRIM_CTRL), NN=cdcgs
  - analyticsplatting: RENDER -> cluster 2 (majority: PRIM_CTRL), NN=2dgs
  - cdcgs: POST -> cluster 2 (majority: PRIM_CTRL), NN=gslpm
  - conegs: PRIM_CTRL -> cluster 1 (majority: FREE), NN=cdcgs
  - gaussianpro: GEO_REG -> cluster 0 (majority: PRIM_CTRL), NN=2dgs
  - ges: RENDER -> cluster 0 (majority: PRIM_CTRL), NN=steepgs
  - ghap: FREE -> cluster 3 (majority: PRIM_CTRL), NN=lightgaussian
  - gof: GEO_REG -> cluster 0 (majority: PRIM_CTRL), NN=analyticsplatting
  - lightgaussian: POST -> cluster 3 (majority: PRIM_CTRL), NN=trimgs
  - lod_gs: RENDER -> cluster 2 (majority: PRIM_CTRL), NN=gslpm
  - mipsplatting: RENDER -> cluster 2 (majority: PRIM_CTRL), NN=2dgs
  - opti3dgs: FREE -> cluster 2 (majority: PRIM_CTRL), NN=ges
  - pgsr: GEO_REG -> cluster 2 (majority: PRIM_CTRL), NN=absgs
  - trimgs: GEO_REG -> cluster 0 (majority: PRIM_CTRL), NN=absgs
  - vanilla_3dgs: FREE -> cluster 2 (majority: PRIM_CTRL), NN=lapisgs
- Source: /root/autodl-tmp/SplatAtlas/analysis/data/reclassified_methods.json
- Raw snippet: [
  {
    "method": "2dgs",
    "original_category": "GEO_REG",
    "assigned_cluster": 2,
    "cluster_majority_category": "PRIM_CTRL",
    "shape_nearest_neighbor": "steepgs"
  }
]

## §4.5 路径简并 Mantel 检验

- Global: r=0.820, p=9.9990e-05
  - anisotropy: r=0.800, p=9.9990e-05
  - opacity: r=0.624, p=9.9990e-05
  - scaling: r=0.721, p=9.9990e-05
  - sh_dc_mag: r=0.925, p=9.9990e-05
- By scene: median r=0.916, range=[0.787, 0.986], N=40
- Source: /root/autodl-tmp/SplatAtlas/analysis/data/mantel_results.json
- Fields: .global.r/p, .by_dimension.<dim>.r/p, .by_scene.<scene>.r/p
- Raw snippet: {
  "global": {
    "r": 0.8204355271367779,
    "p": 9.999000099990002e-05
  }
}

## §4.6 Densification 冲击效应量

| dim | stat | Z | p | effect_size |
|---|---|---|---|---|
| opacity | mean | 92.491 | 0.000e+00 | 0.559 |
| opacity | std | 87.474 | 0.000e+00 | 0.528 |
| opacity | p50 | 90.198 | 0.000e+00 | 0.545 |
| opacity | skewness | 92.751 | 0.000e+00 | 0.560 |
| scaling | mean | 87.674 | 0.000e+00 | 0.529 |
| scaling | std | 64.873 | 0.000e+00 | 0.392 |
| scaling | p50 | 73.469 | 0.000e+00 | 0.444 |
| scaling | skewness | 72.806 | 0.000e+00 | 0.440 |
| anisotropy | mean | -8.798 | 1.390e-18 | -0.053 |
| anisotropy | std | -9.815 | 9.669e-23 | -0.059 |
| anisotropy | p50 | 25.482 | 3.094e-143 | 0.154 |
| anisotropy | skewness | 67.107 | 0.000e+00 | 0.405 |
| sh_dc_mag | mean | 87.845 | 0.000e+00 | 0.529 |
| sh_dc_mag | std | 75.677 | 0.000e+00 | 0.456 |
| sh_dc_mag | p50 | 95.444 | 0.000e+00 | 0.575 |
| sh_dc_mag | skewness | 95.145 | 0.000e+00 | 0.573 |
- mean-stat ES 中位数: 0.529, IQR: [0.383, 0.537]
- Source: /root/autodl-tmp/SplatAtlas/analysis/data/shock_significance.json
- Fields: .<dim>.<stat>.Z/p_value/effect_size

## §4.6 种群周转率

- 稳态阶段方法数: 30
- growth_rate 约等于 0 的方法比例: 0.800 (24/30)
- growth_rate 中位数: 0.000000
- Source: /root/autodl-tmp/SplatAtlas/analysis/data/population_turnover.json
- Fields: .stable.<method>.growth_rate
- Raw snippet: {
  "2dgs": {
    "growth_rate": 0.0,
    "volatility": 0.0
  },
  "3dgs_dr": {
    "growth_rate": 0.024856659053689452,
    "volatility": 0.14263996214244884
  }
}

## §4.6 动力学适应性

- 方法数: 28
- adaptability 中位数: 0.800
- adaptability < 1.0 比例: 0.964 (27/28)
- adaptability 范围: [0.597, 1.012]
- Source: /root/autodl-tmp/SplatAtlas/analysis/data/adaptability_results.json
- Fields: .<method>.adaptability
- Raw snippet: {
  "2dgs": {
    "intra_distance": 21.810724794441487,
    "adaptability": 0.8131491550707949,
    "dim_adaptability": {
      "anisotropy": 0.7514454481488748,
      "opacity": 0.4537771679507786,
      "scaling": 0.6834762994390009,
      "sh_dc_mag": 1.2605223101654506
    },
    "loss_std": 0.025009874996112087
  }
}