Datasets:

cy0307
/

ropedia-xperience-10m-task-suite-artifacts

@@ -78,7 +78,7 @@ Xperience-native pretraining goal.
 | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/) | Matching PyTorch MLP heads for the same task contracts and feature windows. |
 | [`results/episode_task_suite/research_directions/`](results/episode_task_suite/research_directions/) | Mapping from the unified 20-task suite to the four Ropedia research directions. |
 | [`results/episode_task_suite/research_direction_extensions/`](results/episode_task_suite/research_direction_extensions/) | Four additional coded probes, one per research direction. |
-| [`results/episode_task_suite/tier2_task_suite/`](results/episode_task_suite/tier2_task_suite/) | Historical result path for tasks 13-20 in the unified 20-task suite. |
 | [`results/episode_task_suite/task_walkthroughs/`](results/episode_task_suite/task_walkthroughs/) | Human-readable research names and case studies explaining input, process modules, output, metric, limitation, and the website task-player data. |
 | [`results/audio_ablation/audio_ablation_metrics.csv`](results/audio_ablation/audio_ablation_metrics.csv) | All measured audio rows for the original task contracts across six variants, including no-audio, audio-only, alternate-audio-only, representation replacement, and all-input variants. |
 | [`results/audio_ablation/audio_delta_summary.csv`](results/audio_ablation/audio_delta_summary.csv) | Compact per-task audio delta table for quick manual inspection. |

 | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/) | Matching PyTorch MLP heads for the same task contracts and feature windows. |
 | [`results/episode_task_suite/research_directions/`](results/episode_task_suite/research_directions/) | Mapping from the unified 20-task suite to the four Ropedia research directions. |
 | [`results/episode_task_suite/research_direction_extensions/`](results/episode_task_suite/research_direction_extensions/) | Four additional coded probes, one per research direction. |
+| [`results/episode_task_suite/tier2_task_suite/`](results/episode_task_suite/tier2_task_suite/) | Historical provenance path inside the unified 20-task suite. |
 | [`results/episode_task_suite/task_walkthroughs/`](results/episode_task_suite/task_walkthroughs/) | Human-readable research names and case studies explaining input, process modules, output, metric, limitation, and the website task-player data. |
 | [`results/audio_ablation/audio_ablation_metrics.csv`](results/audio_ablation/audio_ablation_metrics.csv) | All measured audio rows for the original task contracts across six variants, including no-audio, audio-only, alternate-audio-only, representation replacement, and all-input variants. |
 | [`results/audio_ablation/audio_delta_summary.csv`](results/audio_ablation/audio_delta_summary.csv) | Compact per-task audio delta table for quick manual inspection. |

EVALUATION_PROTOCOL.md CHANGED Viewed

@@ -45,11 +45,10 @@ are not foundation models.
 ## Unified 20-Task Contracts
-Tasks 1-12 are the original public-sample task contracts. Tasks 13-20
-are additional sample-supported contracts attached to the same 20-frame
-window, feature, chronological split, leakage-control, and minimal/neural
-baseline setup. Historical `tier2_task_suite` paths are retained only as
-stable artifact locations for tasks 13-20.
 | # | Task | Artifact id | Origin | Family | Unit | Input -> target | Primary metric | Minimal | Neural |
 | ---: | --- | --- | --- | --- | --- | --- | --- | ---: | ---: |

 ## Unified 20-Task Contracts
+All 20 public-sample task contracts are presented together under the same
+20-frame window, feature, chronological split, leakage-control, and
+minimal/neural baseline setup. Historical `tier2_task_suite` paths are
+retained only as stable provenance artifact locations inside the unified suite.
 | # | Task | Artifact id | Origin | Family | Unit | Input -> target | Primary metric | Minimal | Neural |
 | ---: | --- | --- | --- | --- | --- | --- | --- | ---: | ---: |

FIGURE_INDEX.md CHANGED Viewed

@@ -33,7 +33,7 @@ Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience
 | Minimal-vs-neural task score chart | `docs/assets/charts/episode_task_scores_minimal_vs_neural.svg` | 1100 x 964 | `scripts/generate_visualizations.py` | Side-by-side baseline comparison over the same window contracts. |
 | Research direction coverage chart | `docs/assets/charts/research_direction_coverage.svg` | 1180 x 700 | `scripts/generate_visualizations.py` | Four-track coverage map for Ropedia research directions. |
 | Research direction extension chart | `docs/assets/charts/research_direction_extension_tasks.svg` | 1420 x 920 | `scripts/generate_visualizations.py` | Four coded extension probes, one per Ropedia research direction. |
-| Tasks 13-20 baseline chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Eight additional sample-supported tasks in the unified 20-task suite with aligned minimal and neural baseline metrics. |
 | Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` | 2400 x 1840 | `scripts/build_unified_task_model_radar.py` | Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes. |
 | Single-episode 20-task model radar | `docs/assets/charts/single_episode_task_model_radar.svg` | 2400 x 1840 | `scripts/build_unified_task_model_radar.py` | Twenty-axis split radar for the one public-sample episode, comparing Minimal and Neural MLP as two complete 20/20 scored polygons. |
 | 128-episode 20-task model radar | `docs/assets/charts/episode128_task_model_radar.svg` | 2400 x 1840 | `scripts/build_unified_task_model_radar.py` | Twenty-axis split radar for selected 128-episode methods: raw-feature simple/NN as complete scored polygons plus metadata, Qwen3-Omni, Cosmos3-Super, and Cosmos3-Nano task-aligned overlays. |

 | Minimal-vs-neural task score chart | `docs/assets/charts/episode_task_scores_minimal_vs_neural.svg` | 1100 x 964 | `scripts/generate_visualizations.py` | Side-by-side baseline comparison over the same window contracts. |
 | Research direction coverage chart | `docs/assets/charts/research_direction_coverage.svg` | 1180 x 700 | `scripts/generate_visualizations.py` | Four-track coverage map for Ropedia research directions. |
 | Research direction extension chart | `docs/assets/charts/research_direction_extension_tasks.svg` | 1420 x 920 | `scripts/generate_visualizations.py` | Four coded extension probes, one per Ropedia research direction. |
+| Unified 20-task provenance chart | `docs/assets/charts/tier2_task_suite.svg` | 1440 x 832 | `scripts/tier2_task_suite.py` | Historical provenance rows inside the unified 20-task suite with aligned minimal and neural baseline metrics. |
 | Unified 20-task model radar | `docs/assets/charts/unified_task_model_radar.svg` | 2400 x 1840 | `scripts/build_unified_task_model_radar.py` | Twenty-axis direction-aware comparison of minimal and neural MLP baselines, with 128-episode metadata, Qwen3, and Cosmos task-aligned overlay points and branch notes. |
 | Single-episode 20-task model radar | `docs/assets/charts/single_episode_task_model_radar.svg` | 2400 x 1840 | `scripts/build_unified_task_model_radar.py` | Twenty-axis split radar for the one public-sample episode, comparing Minimal and Neural MLP as two complete 20/20 scored polygons. |
 | 128-episode 20-task model radar | `docs/assets/charts/episode128_task_model_radar.svg` | 2400 x 1840 | `scripts/build_unified_task_model_radar.py` | Twenty-axis split radar for selected 128-episode methods: raw-feature simple/NN as complete scored polygons plus metadata, Qwen3-Omni, Cosmos3-Super, and Cosmos3-Nano task-aligned overlays. |

GLOSSARY.md CHANGED Viewed

@@ -35,7 +35,7 @@ machine-readable form.
 | Interaction text | Natural-language interaction/caption content. | Used by task 15 and some derived text features; public matrices record when text targets are direct or compact-proxy. | Numeric action ids or subtask ids. |
 | Modality | A type of signal. | Video, audio, depth, pose/SLAM, motion capture, inertial, calibration, and language-derived signals. | A task target. |
 | Task contract | The definition of one benchmark task. | Includes input, target/output, metric, split, source artifact, and limitation. | A model architecture. |
-| Unified 20-task suite | The current task surface. | Tasks 1-12 plus tasks 13-20 are presented together and scored across methods where real artifacts exist. | The historical tier-2 label; tasks 13-20 are now part of the same 20-task suite. |
 | Task-method record | One method evaluated on one task. | 9 methods x 20 tasks gives 180 public result records. | A single prediction row. |
 | Direct score | A metric computed against the task target directly. | The preferred score type in the 20-task matrix. | Compact-proxy score. |
 | Compact-proxy score | A bounded proxy metric when a direct raw target is not publicly available. | Kept explicit in the matrix and gap audit so readers do not over-read it. | A direct target measurement. |

 | Interaction text | Natural-language interaction/caption content. | Used by task 15 and some derived text features; public matrices record when text targets are direct or compact-proxy. | Numeric action ids or subtask ids. |
 | Modality | A type of signal. | Video, audio, depth, pose/SLAM, motion capture, inertial, calibration, and language-derived signals. | A task target. |
 | Task contract | The definition of one benchmark task. | Includes input, target/output, metric, split, source artifact, and limitation. | A model architecture. |
+| Unified 20-task suite | The current task surface. | All 20 task contracts are presented together and scored across methods where real artifacts exist. | Historical `tier2_task_suite` filenames; those are provenance paths, not a second suite. |
 | Task-method record | One method evaluated on one task. | 9 methods x 20 tasks gives 180 public result records. | A single prediction row. |
 | Direct score | A metric computed against the task target directly. | The preferred score type in the 20-task matrix. | Compact-proxy score. |
 | Compact-proxy score | A bounded proxy metric when a direct raw target is not publicly available. | Kept explicit in the matrix and gap audit so readers do not over-read it. | A direct target measurement. |

PROJECT_BRIEF.md CHANGED Viewed

@@ -47,7 +47,7 @@ model-quality claims.
 4. Open `EVALUATION_PROTOCOL.md` before comparing task scores.
 5. Use `RESEARCH_TAKEAWAYS.md` for the current metric interpretation.
 6. Inspect `results/episode_task_suite/feature_manifest.json` to understand one model input.
-7. Use `TASK_SUITE_20.md` and `docs/data/task_suite_20.json` to read the unified 20-task suite; the historical `docs/data/tier2_task_suite.json` path stores the tasks 13-20 result bundle.
 8. Use `QWEN3_OMNI_RUN_LINEAGE.md` and `docs/data/qwen3_omni_run_lineage.json` to read v1-v6 correctly.
 9. Use `docs/data/omni_finetune_verified_result.json` for the current multi-episode Qwen3-Omni v6 result.

 4. Open `EVALUATION_PROTOCOL.md` before comparing task scores.
 5. Use `RESEARCH_TAKEAWAYS.md` for the current metric interpretation.
 6. Inspect `results/episode_task_suite/feature_manifest.json` to understand one model input.
+7. Use `TASK_SUITE_20.md` and `docs/data/task_suite_20.json` to read the unified 20-task suite; the historical `docs/data/tier2_task_suite.json` path stores provenance rows inside that same suite.
 8. Use `QWEN3_OMNI_RUN_LINEAGE.md` and `docs/data/qwen3_omni_run_lineage.json` to read v1-v6 correctly.
 9. Use `docs/data/omni_finetune_verified_result.json` for the current multi-episode Qwen3-Omni v6 result.

PROJECT_README.md CHANGED Viewed

@@ -428,7 +428,7 @@ Public release checks are exposed as JSON for mirrors and dashboards:
   <tbody>
     <tr><td><strong>Dataset slice</strong></td><td>One public Xperience-10M sample episode, 5,821 frames, 1,161 windows, and an 8,546-dimensional representation.</td></tr>
     <tr><td><strong>Modalities</strong></td><td>Video, audio, depth, camera pose/SLAM, hand/body mocap, IMU, calibration, and language annotations.</td></tr>
-    <tr><td><strong>Task suite</strong></td><td>20 human-readable tasks form one embodied-AI public-sample suite; tasks 1-12 are the original contracts and tasks 13-20 reuse the same windows, split discipline, and minimal/neural head pattern.</td></tr>
     <tr><td><strong>Baselines</strong></td><td>Minimal linear/ridge/logistic heads plus compact PyTorch MLP task heads over the same chronological split; companion simple/NN metadata baselines are also aligned to the selected 128-episode 96/16/16 split.</td></tr>
     <tr><td><strong>Research directions</strong></td><td>Task mapping and extension probes for human modeling, 3D/4D reconstruction, egocentric interaction, and world modeling.</td></tr>
     <tr>
@@ -460,7 +460,7 @@ Current contributions:
 - manifested sliding-window features over the currently extracted modalities,
 - motion-only and current all-feature baseline models,
 - 20 end-to-end episode-level task contracts,
-- tasks 13-20 aligned to the same 20-frame windows and chronological split as tasks 1-12,
 - lightweight neural MLP heads for the same task contracts,
 - a generated four-direction research taxonomy matching the Ropedia job tracks,
 - four additional direction-extension probes with minimal and neural baselines,
@@ -494,7 +494,7 @@ This project is best read as a staged embodied-AI research study:
       <td><strong>Task suite</strong></td>
       <td>
         Twenty human-readable tasks cover recognition, prediction, retrieval, reconstruction, synchronization, long-horizon forecasting, interaction text, action-object binding, sensor bridging, camera sync, and transition timing.
-        Tasks 13-20 keep the historical <code>tier2_task_suite</code> artifact path for link stability, but they are part of the same suite.
       </td>
       <td>
         <a href="TASK_SUITE_20.md">TASK_SUITE_20.md</a><br>
@@ -775,10 +775,10 @@ with [`scripts/render_task_suite_infographic.py`](scripts/render_task_suite_info
 so the published PNG is a presentation graphic with verified labels and metrics,
 not a hallucinated metric sheet.
-The complete unified task list is now documented in [`TASK_SUITE_20.md`](TASK_SUITE_20.md)
-and [`docs/data/task_suite_20.json`](docs/data/task_suite_20.json). Tasks 13-20
-also have a compact chart and result bundle under the historical
-`tier2_task_suite` path for stable public links.
 ![Unified 20-task model radar](docs/assets/charts/unified_task_model_radar.svg)
@@ -854,7 +854,7 @@ scripts/
   neural_task_models.py             # optional PyTorch MLP heads for task contracts
   research_direction_taxonomy.py    # maps original tasks to the four research tracks
   research_direction_extension_tasks.py # one extra data-backed probe per track
-  tier2_task_suite.py              # historical-name builder for tasks 13-20
   build_unified_task_suite.py       # builds TASK_SUITE_20.md and task_suite_20.json
   build_unified_task_model_radar.py # builds the unified 20-axis model comparison chart
   build_task_method_20_gap_audit.py # builds the explicit 180/180 scored-cell ledger
@@ -889,7 +889,7 @@ results/
     neural_mlp/                     # optional neural baseline artifacts per task
     research_directions/            # four-track taxonomy, CSV, and summary
     research_direction_extensions/  # four extra direction probes + predictions
-    tier2_task_suite/               # tasks 13-20 baseline tasks + predictions; historical path
     task_walkthroughs/              # case-study walkthroughs for original tasks
   omni_exploration/                 # ModelScope readiness-check artifacts
   omni_finetune/model_output_task_probes_20260616/ # task-13/task-16 probes derived from verified model JSON
@@ -915,7 +915,7 @@ docs/
   data/research_roadmap.json        # multi-episode and omni-model roadmap
   data/research_directions.json     # four-track website data bundle
   data/research_direction_extensions.json # four extra probe data bundle
-  data/tier2_task_suite.json       # tasks 13-20 baseline bundle; historical path
   data/task_walkthroughs.json       # human-readable task-card and walkthrough-storyboard data
   data/modality_atlas.json          # responsive modality-card data
   assets/brand/*.png                # project logo, favicon, social card
@@ -1037,7 +1037,7 @@ python scripts/episode_task_suite.py \
   --include-neural
 ```
-Then rebuild the unified 20-task index after tasks 13-20 are generated:
 ```bash
 python scripts/tier2_task_suite.py --workspace /path/to/workspace
@@ -1512,16 +1512,14 @@ models.
 ## Unified 20-Task Suite
-The sample task surface is now presented as 20 tasks in one suite. Tasks 1-12
-are the original public-sample contracts; tasks 13-20 add long-horizon
-forecasting, interaction text, action-object binding, object-set forecasting,
-IMU-to-hand reconstruction, camera synchronization, and transition timing while
-keeping the same 20-frame window unit, 5-frame stride, chronological split, and
-minimal/neural comparison style.
 The historical `tier2_task_suite` file and directory names remain only for
-stable artifact links. They should be read as the result bundle for tasks
-13-20, not as a separate benchmark tier.
 - [`TASK_SUITE_20.md`](TASK_SUITE_20.md)
 - [`docs/data/task_suite_20.json`](docs/data/task_suite_20.json)
@@ -1545,7 +1543,7 @@ stable artifact links. They should be read as the result bundle for tasks
 ![128-episode 20-task model radar](docs/assets/charts/episode128_task_model_radar.svg)
-![Tasks 13-20 baseline chart](docs/assets/charts/tier2_task_suite.svg)
 | # | Task | Input | Output | Minimal | Neural MLP | Meaning |
 | ---: | --- | --- | --- | ---: | ---: | --- |

   <tbody>
     <tr><td><strong>Dataset slice</strong></td><td>One public Xperience-10M sample episode, 5,821 frames, 1,161 windows, and an 8,546-dimensional representation.</td></tr>
     <tr><td><strong>Modalities</strong></td><td>Video, audio, depth, camera pose/SLAM, hand/body mocap, IMU, calibration, and language annotations.</td></tr>
+    <tr><td><strong>Task suite</strong></td><td>20 human-readable tasks form one embodied-AI public-sample suite with shared windowing, split discipline, leakage controls, and minimal/neural head pattern.</td></tr>
     <tr><td><strong>Baselines</strong></td><td>Minimal linear/ridge/logistic heads plus compact PyTorch MLP task heads over the same chronological split; companion simple/NN metadata baselines are also aligned to the selected 128-episode 96/16/16 split.</td></tr>
     <tr><td><strong>Research directions</strong></td><td>Task mapping and extension probes for human modeling, 3D/4D reconstruction, egocentric interaction, and world modeling.</td></tr>
     <tr>
 - manifested sliding-window features over the currently extracted modalities,
 - motion-only and current all-feature baseline models,
 - 20 end-to-end episode-level task contracts,
+- one shared 20-frame window and chronological split contract across the public-sample task suite,
 - lightweight neural MLP heads for the same task contracts,
 - a generated four-direction research taxonomy matching the Ropedia job tracks,
 - four additional direction-extension probes with minimal and neural baselines,
       <td><strong>Task suite</strong></td>
       <td>
         Twenty human-readable tasks cover recognition, prediction, retrieval, reconstruction, synchronization, long-horizon forecasting, interaction text, action-object binding, sensor bridging, camera sync, and transition timing.
+        Historical <code>tier2_task_suite</code> artifact paths are kept for link stability, but they are provenance paths inside the same suite.
       </td>
       <td>
         <a href="TASK_SUITE_20.md">TASK_SUITE_20.md</a><br>
 so the published PNG is a presentation graphic with verified labels and metrics,
 not a hallucinated metric sheet.
+The complete unified task list is documented in [`TASK_SUITE_20.md`](TASK_SUITE_20.md)
+and [`docs/data/task_suite_20.json`](docs/data/task_suite_20.json). Historical
+`tier2_task_suite` paths remain only as stable provenance links inside the same
+suite.
 ![Unified 20-task model radar](docs/assets/charts/unified_task_model_radar.svg)
   neural_task_models.py             # optional PyTorch MLP heads for task contracts
   research_direction_taxonomy.py    # maps original tasks to the four research tracks
   research_direction_extension_tasks.py # one extra data-backed probe per track
+  tier2_task_suite.py              # historical-name provenance builder for unified task rows
   build_unified_task_suite.py       # builds TASK_SUITE_20.md and task_suite_20.json
   build_unified_task_model_radar.py # builds the unified 20-axis model comparison chart
   build_task_method_20_gap_audit.py # builds the explicit 180/180 scored-cell ledger
     neural_mlp/                     # optional neural baseline artifacts per task
     research_directions/            # four-track taxonomy, CSV, and summary
     research_direction_extensions/  # four extra direction probes + predictions
+    tier2_task_suite/               # provenance baseline tasks + predictions; historical path
     task_walkthroughs/              # case-study walkthroughs for original tasks
   omni_exploration/                 # ModelScope readiness-check artifacts
   omni_finetune/model_output_task_probes_20260616/ # task-13/task-16 probes derived from verified model JSON
   data/research_roadmap.json        # multi-episode and omni-model roadmap
   data/research_directions.json     # four-track website data bundle
   data/research_direction_extensions.json # four extra probe data bundle
+  data/tier2_task_suite.json       # provenance baseline bundle; historical path
   data/task_walkthroughs.json       # human-readable task-card and walkthrough-storyboard data
   data/modality_atlas.json          # responsive modality-card data
   assets/brand/*.png                # project logo, favicon, social card
   --include-neural
 ```
+Then rebuild the unified 20-task index after the historical provenance bundle is regenerated:
 ```bash
 python scripts/tier2_task_suite.py --workspace /path/to/workspace
 ## Unified 20-Task Suite
+The sample task surface is presented as 20 tasks in one suite. All task rows
+share the same 20-frame window unit, 5-frame stride, chronological split, and
+minimal/neural comparison style, with task-specific leakage rules when a target
+would otherwise leak through caption, object, contact, or future features.
 The historical `tier2_task_suite` file and directory names remain only for
+stable artifact links. They should be read as provenance bundles inside the
+unified 20-task suite, not as a separate benchmark tier.
 - [`TASK_SUITE_20.md`](TASK_SUITE_20.md)
 - [`docs/data/task_suite_20.json`](docs/data/task_suite_20.json)
 ![128-episode 20-task model radar](docs/assets/charts/episode128_task_model_radar.svg)
+![Unified 20-task provenance chart](docs/assets/charts/tier2_task_suite.svg)
 | # | Task | Input | Output | Minimal | Neural MLP | Meaning |
 | ---: | --- | --- | --- | ---: | ---: | --- |

PROJECT_STATUS.md CHANGED Viewed

@@ -30,7 +30,7 @@ prior multiscale release, and v6 is the current public 20-task Qwen3-Omni row.
 | Area | Current state | Evidence | Research readout |
 | --- | --- | --- | --- |
 | Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
-| Unified 20-task suite | Verified | `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`, `results/episode_task_suite/`, `results/episode_task_suite/tier2_task_suite/` | All 20 task contracts have committed minimal metrics; tasks 13-20 reuse the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The `tier2_task_suite` path is historical and now stores tasks 13-20, not a separate public tier. |
 | 180-result method matrix | Verified complete | `docs/data/task_method_20_result_matrix.json`, `TASK_METHOD_20_RESULT_MATRIX.md`, `docs/data/task_method_20_gap_audit.json`, `docs/assets/charts/unified_task_model_radar.svg` | The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target. |
 | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
 | Audio contribution study | Verified | `scripts/audio_ablation_and_raw_upgrade.py`, `results/audio_ablation/`, `docs/data/audio_ablation_summary.json` | Audio variants are compared across the original task contracts; audio improves the primary metric on 6 of those contracts, and a 588-d audio-window representation improves over the baseline audio variant on 6 of those contracts. |
@@ -73,7 +73,7 @@ prior multiscale release, and v6 is the current public 20-task Qwen3-Omni row.
    `docs/data/summary_metrics.json`, and
    `results/episode_task_suite/neural_mlp/` to check the unified 20-task outputs.
 10. Inspect `docs/data/tier2_task_suite.json` and
-   `results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md` only as the historical artifact path for tasks 13-20.
 11. Inspect `results/audio_ablation/AUDIO_ABLATION_SUMMARY.md` before judging
    whether audio helps the current task suite.
 12. Inspect `EVALUATION_PROTOCOL.md` before judging task metrics or leakage

 | Area | Current state | Evidence | Research readout |
 | --- | --- | --- | --- |
 | Public-sample pipeline | Verified | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json` | One public Xperience-10M sample episode is converted into 5,821 frames, 1,161 aligned 20-frame windows, and an 8,546-dimensional current feature contract. |
+| Unified 20-task suite | Verified | `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`, `results/episode_task_suite/`, `results/episode_task_suite/tier2_task_suite/` | All 20 task contracts have committed minimal metrics and share the same 20-frame windows, 5-frame stride, chronological split, and minimal/neural head pattern. The `tier2_task_suite` path is historical provenance inside the unified suite, not a separate public tier. |
 | 180-result method matrix | Verified complete | `docs/data/task_method_20_result_matrix.json`, `TASK_METHOD_20_RESULT_MATRIX.md`, `docs/data/task_method_20_gap_audit.json`, `docs/assets/charts/unified_task_model_radar.svg` | The public comparison matrix now has 9 methods x 20 tasks = 180/180 scored method-task records. Six rows are explicitly marked as compact-proxy scores where the public 128-episode export lacks the direct raw target. |
 | Neural heads | Verified | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | Each task also has a compact PyTorch MLP run over the same feature tensor and chronological split. |
 | Audio contribution study | Verified | `scripts/audio_ablation_and_raw_upgrade.py`, `results/audio_ablation/`, `docs/data/audio_ablation_summary.json` | Audio variants are compared across the original task contracts; audio improves the primary metric on 6 of those contracts, and a 588-d audio-window representation improves over the baseline audio variant on 6 of those contracts. |
    `docs/data/summary_metrics.json`, and
    `results/episode_task_suite/neural_mlp/` to check the unified 20-task outputs.
 10. Inspect `docs/data/tier2_task_suite.json` and
+   `results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md` only as historical provenance paths inside the unified 20-task suite.
 11. Inspect `results/audio_ablation/AUDIO_ABLATION_SUMMARY.md` before judging
    whether audio helps the current task suite.
 12. Inspect `EVALUATION_PROTOCOL.md` before judging task metrics or leakage

README.md CHANGED Viewed

@@ -61,11 +61,11 @@ pattern as the core 12 tasks.
 ## Unified 20-Task Suite
 The public-sample task surface is now one unified 20-task suite in
-`TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. Tasks 1-12 are the
-original sample tasks; Tasks 13-20 reuse the same 20-frame windows, 5-frame
 stride, feature manifest, chronological split, and minimal/neural head pattern.
 The historical `tier2_task_suite` path is retained only for stable artifact
-links to tasks 13-20. The unified radar chart is published as
 `docs/assets/charts/unified_task_model_radar.svg` with values in
 `docs/data/unified_task_model_radar.json`; the 9-method by 20-task
 completion matrix is complete at `180/180` scored method-task records and is published in `docs/data/task_method_20_result_matrix.json`, with two-line summaries in

 ## Unified 20-Task Suite
 The public-sample task surface is now one unified 20-task suite in
+`TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. All 20 task contracts
+reuse the same 20-frame windows, 5-frame
 stride, feature manifest, chronological split, and minimal/neural head pattern.
 The historical `tier2_task_suite` path is retained only for stable artifact
+links to provenance rows inside the unified suite. The unified radar chart is published as
 `docs/assets/charts/unified_task_model_radar.svg` with values in
 `docs/data/unified_task_model_radar.json`; the 9-method by 20-task
 completion matrix is complete at `180/180` scored method-task records and is published in `docs/data/task_method_20_result_matrix.json`, with two-line summaries in

REPRODUCIBILITY.md CHANGED Viewed

@@ -10,7 +10,7 @@ outside the current public data scope.
 | --- | --- | --- |
 | Sample download | Yes, from `ropedia-ai/xperience-10m-sample` or ModelScope sample mirror | Sample card lists `cc-by-nc-4.0`; raw data is not redistributed in this repo. |
 | Minimal baselines | Yes | One public sample episode, chronological split. |
-| Unified 20-task suite | Yes; tasks 13-20 require `annotation.hdf5` plus `h5py` or HOMIE Toolkit for regeneration | Uses the current 8,546-d synchronized multimodal feature contract, the same 20-frame windows, and the same chronological split. |
 | Neural MLP heads | Yes, when `torch` is installed | Compact task heads only, not a foundation model. |
 | Website figures and charts | Yes | Generated from committed metrics and sample thumbnails. |
 | Public bundle contents | Yes | Covers public repo and prepared HF bundles. |
@@ -96,7 +96,7 @@ python scripts/validate_publication_package.py
 ```
 `scripts/tier2_task_suite.py` has a historical file name, but it now regenerates
-tasks 13-20 for the unified 20-task suite. It can use HOMIE Toolkit when
 present, or a direct `h5py` fallback for the public sample's caption JSON. It
 reads the local raw `annotation.hdf5` only to regenerate interaction/object
 targets; the raw HDF5 is still ignored by git and excluded from public bundles.
@@ -159,7 +159,7 @@ Verified staged-GPU smoke evidence from 2026-06-14:
 | Command group | Expected artifacts |
 | --- | --- |
 | Minimal baselines | `results/min_action_model/`, `results/min_all_modalities_action_model/`, metrics and model weights |
-| Unified 20-task suite | `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`, `results/episode_task_suite/summary_report.json`, per-task `metrics.json`, predictions, confusion matrices, and the tasks 13-20 historical `tier2_task_suite` result bundle |
 | Unified 20-task model radar | `docs/data/unified_task_model_radar.json`, `docs/assets/charts/unified_task_model_radar.svg` |
 | Neural heads | `results/episode_task_suite/neural_mlp/**/metrics.json`, histories, model checkpoints |
 | Research directions | `results/episode_task_suite/research_directions/`, `docs/data/research_directions.json` |
@@ -182,7 +182,7 @@ Asia/Singapore** from a fresh output directory outside the repo. It rebuilt the
 minimal baselines, all-modality baselines, and the original core task artifacts
 from the local public sample. The regenerated metrics matched the committed
 artifacts after float normalization; the current public framing now indexes
-those artifacts together with tasks 13-20 as one 20-task suite.
 Evidence:

 | --- | --- | --- |
 | Sample download | Yes, from `ropedia-ai/xperience-10m-sample` or ModelScope sample mirror | Sample card lists `cc-by-nc-4.0`; raw data is not redistributed in this repo. |
 | Minimal baselines | Yes | One public sample episode, chronological split. |
+| Unified 20-task suite | Yes; the historical provenance bundle requires `annotation.hdf5` plus `h5py` or HOMIE Toolkit for regeneration | Uses the current 8,546-d synchronized multimodal feature contract, the same 20-frame windows, and the same chronological split. |
 | Neural MLP heads | Yes, when `torch` is installed | Compact task heads only, not a foundation model. |
 | Website figures and charts | Yes | Generated from committed metrics and sample thumbnails. |
 | Public bundle contents | Yes | Covers public repo and prepared HF bundles. |
 ```
 `scripts/tier2_task_suite.py` has a historical file name, but it now regenerates
+provenance rows inside the unified 20-task suite. It can use HOMIE Toolkit when
 present, or a direct `h5py` fallback for the public sample's caption JSON. It
 reads the local raw `annotation.hdf5` only to regenerate interaction/object
 targets; the raw HDF5 is still ignored by git and excluded from public bundles.
 | Command group | Expected artifacts |
 | --- | --- |
 | Minimal baselines | `results/min_action_model/`, `results/min_all_modalities_action_model/`, metrics and model weights |
+| Unified 20-task suite | `TASK_SUITE_20.md`, `docs/data/task_suite_20.json`, `results/episode_task_suite/summary_report.json`, per-task `metrics.json`, predictions, confusion matrices, and the historical `tier2_task_suite` provenance bundle |
 | Unified 20-task model radar | `docs/data/unified_task_model_radar.json`, `docs/assets/charts/unified_task_model_radar.svg` |
 | Neural heads | `results/episode_task_suite/neural_mlp/**/metrics.json`, histories, model checkpoints |
 | Research directions | `results/episode_task_suite/research_directions/`, `docs/data/research_directions.json` |
 minimal baselines, all-modality baselines, and the original core task artifacts
 from the local public sample. The regenerated metrics matched the committed
 artifacts after float normalization; the current public framing now indexes
+those artifacts together as one 20-task suite.
 Evidence:

TASK_SUITE_20.md CHANGED Viewed

@@ -1,12 +1,11 @@
 # Unified 20-Task Suite
 The public Xperience-10M sample task surface is one unified set of 20 tasks.
-Tasks 1-12 are the original public-sample tasks. Tasks 13-20 are additional
-sample-supported tasks attached to the same window, split, feature, baseline,
-and leakage-control contract.
 Historical artifact paths containing `tier2_task_suite` are kept for stable
-links, but they should be read as the result directory for tasks 13-20, not
 as a separate benchmark tier.
 ## Shared Setup

 # Unified 20-Task Suite
 The public Xperience-10M sample task surface is one unified set of 20 tasks.
+All task contracts are presented together under the same window, split,
+feature, baseline, and leakage-control contract.
 Historical artifact paths containing `tier2_task_suite` are kept for stable
+links, but they should be read as provenance directories inside the unified task suite, not
 as a separate benchmark tier.
 ## Shared Setup

assets/charts/tier2_task_suite.svg CHANGED Viewed

data/evaluation_protocol.json CHANGED Viewed

@@ -2,7 +2,7 @@
   "title": "Ropedia Xperience-10M Task Suite Evaluation Protocol",
   "status": "pass",
   "version": "2026-06-01",
-  "generated_at_utc": "2026-06-16T04:47:57+00:00",
   "source_files": [
     "docs/data/summary_metrics.json",
     "results/episode_task_suite/summary_report.json",
@@ -30,7 +30,7 @@
     "additional_public_sample_tasks": 8,
     "unified_results": "docs/data/task_suite_20.json",
     "legacy_additional_task_result_path": "docs/data/tier2_task_suite.json",
-    "legacy_path_note": "The tier2_task_suite path is retained for stable links only; tasks 13-20 are presented as part of the same 20-task suite."
   },
   "split_policy": {
     "name": "single_episode_chronological",

   "title": "Ropedia Xperience-10M Task Suite Evaluation Protocol",
   "status": "pass",
   "version": "2026-06-01",
+  "generated_at_utc": "2026-06-21T14:40:33+00:00",
   "source_files": [
     "docs/data/summary_metrics.json",
     "results/episode_task_suite/summary_report.json",
     "additional_public_sample_tasks": 8,
     "unified_results": "docs/data/task_suite_20.json",
     "legacy_additional_task_result_path": "docs/data/tier2_task_suite.json",
+    "legacy_path_note": "The tier2_task_suite path is retained for stable links only; it is provenance inside the same 20-task suite."
   },
   "split_policy": {
     "name": "single_episode_chronological",

data/publication_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T13:34:02+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -257,7 +257,7 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 4522,
       "text_file_count": 1286,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
@@ -268,7 +268,7 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 5285,
       "text_file_count": 1459,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-21T14:46:11+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
+      "file_count": 4528,
       "text_file_count": 1286,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
+      "file_count": 5293,
       "text_file_count": 1459,
       "largest_file": {
         "path": "results/omni_finetune/xperience10m_128ep_dense_multiscale_hierarchical_v1_20260608/dense_multiscale_windows.jsonl",

data/scope_claims_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-21T13:32:50+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-21T14:47:03+00:00",
   "summary": {
     "qwen3_omni_verified_diagnostic_pilot": true,
     "dataset_manifest_num_episodes": 119,

docs/assets/charts/tier2_task_suite.svg CHANGED Viewed

docs/data/artifact_index.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-21T13:31:38+00:00",
   "status": "pass",
   "artifact_count": 228,
   "missing": [],
@@ -48,8 +48,8 @@
       "surface": "repo_hf",
       "shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
       "exists": true,
-      "bytes": 4817,
-      "sha256": "4bf611b5ab6959424d8a31ff6ccbaa460bb97496a59b6405830a3878036e49cb"
     },
     {
       "id": "project_brief_json",
@@ -70,8 +70,8 @@
       "surface": "repo_hf",
       "shows": "Gives a compact current-state table for first-pass readers.",
       "exists": true,
-      "bytes": 15977,
-      "sha256": "6ce8ca736b0ad2f8fef463c62530294e414cfc0a0e4ed501907fbf1536de0aa9"
     },
     {
       "id": "project_status_json",
@@ -92,8 +92,8 @@
       "surface": "repo_hf",
       "shows": "Defines terminology that can be confused across data scope, task metrics, model branches, and public mirrors.",
       "exists": true,
-      "bytes": 10218,
-      "sha256": "a87fa41946625ae7a23e794fd1925885918e5fb9244424bacbe9673941d09533"
     },
     {
       "id": "glossary_json",
@@ -103,8 +103,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable terminology layer for the website, artifact dataset, model mirror, and public QA checks.",
       "exists": true,
-      "bytes": 17321,
-      "sha256": "9aedc1f34704eb6c5e1c66656a5df85616a029ecbb3d1119d7aed413d5de7945"
     },
     {
       "id": "research_roadmap",
@@ -587,8 +587,8 @@
       "surface": "repo_hf",
       "shows": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 20579,
-      "sha256": "eae0b6789de32e0f3d7f92800627ca54026faeb9ae0cb4c4edfab9ec21ea5772"
     },
     {
       "id": "official_dataset_card_alignment",
@@ -632,7 +632,7 @@
       "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
       "bytes": 4432,
-      "sha256": "de3e31d0b528837aa894cb7b7c6efb1c834658474fb1671aa6e58f69b61b6044"
     },
     {
       "id": "source_alignment_validator",
@@ -686,8 +686,8 @@
       "surface": "repo_hf",
       "shows": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
       "exists": true,
-      "bytes": 9195,
-      "sha256": "ca60203b000726bb8e8cb3a2dc37e7e0821f7e7013a3437a1612f670269cc1df"
     },
     {
       "id": "evaluation_protocol_json",
@@ -697,8 +697,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
       "exists": true,
-      "bytes": 24020,
-      "sha256": "df8da790182374a64b7e5aed94f9cc945fdecef11faf37b707220bc91c1ac9a7"
     },
     {
       "id": "evaluation_protocol_builder",
@@ -708,8 +708,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates the protocol from committed summary metrics and task artifacts.",
       "exists": true,
-      "bytes": 19994,
-      "sha256": "153d1e82fa34f3e22fd1a37f3bf012f8a0eae98002278435991d973b2053d31e"
     },
     {
       "id": "task_suite_20",
@@ -717,10 +717,10 @@
       "path": "TASK_SUITE_20.md",
       "kind": "evaluation_protocol",
       "surface": "repo_hf",
-      "shows": "Reader-facing table for the single unified public-sample task suite: tasks 1-12 plus tasks 13-20 under the same window, split, feature, and baseline contract.",
       "exists": true,
-      "bytes": 5243,
-      "sha256": "57c5c742a43d37c2d17a2ee365374273f5d25f973b46b945972a3cfffd42aef7"
     },
     {
       "id": "task_suite_20_json",
@@ -730,8 +730,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable unified 20-task index for the website, Hugging Face mirrors, and live verification.",
       "exists": true,
-      "bytes": 34648,
-      "sha256": "ed4963f210884cb74fb672ecb3e50b87a6295f43b54f2f1bd25ef5c2cddf3a39"
     },
     {
       "id": "task_suite_20_builder",
@@ -739,10 +739,10 @@
       "path": "scripts/build_unified_task_suite.py",
       "kind": "evaluation_protocol",
       "surface": "repo_hf",
-      "shows": "Regenerates the unified 20-task JSON and Markdown from the original 12-task metrics plus the tasks 13-20 result bundle.",
       "exists": true,
-      "bytes": 12322,
-      "sha256": "ad2ae2f918fb8362e47d271ae8f1c1f3807b009a7241fa7df94f84fbddccffe8"
     },
     {
       "id": "unified_task_model_radar_json",
@@ -1093,8 +1093,8 @@
       "surface": "repo_hf",
       "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
-      "bytes": 7014,
-      "sha256": "1087774a85614f12871418bb9fa375b98121596eb11dcdc22d324b943fb9d313"
     },
     {
       "id": "figure_index_json",
@@ -1104,8 +1104,8 @@
       "surface": "website_hf",
       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 19472,
-      "sha256": "e56f76038a56ffc61e882d0201f13912af5cba3e5ade08b1bb912fba0acdcd24"
     },
     {
       "id": "figure_index_builder",
@@ -1115,8 +1115,8 @@
       "surface": "repo_hf",
       "shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
       "exists": true,
-      "bytes": 16832,
-      "sha256": "7c526bff01c282d81e4f64bbdb31c059953ea7868b75b0c3104826241280165f"
     },
     {
       "id": "brand_assets_json",
@@ -1182,7 +1182,7 @@
       "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
       "bytes": 8640,
-      "sha256": "55a3205414cac47c20720694ce5965b3fd270c0060d488b59f4217d3e794f0fa"
     },
     {
       "id": "public_surface_qa",
@@ -1192,8 +1192,8 @@
       "surface": "repo_hf",
       "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
       "exists": true,
-      "bytes": 2194,
-      "sha256": "9ff4678a7ac50a784d5afdd9c6612f181a52b7ed22811fd6fdad81dd36aa2777"
     },
     {
       "id": "public_reader_map",
@@ -1226,7 +1226,7 @@
       "volatile": true,
       "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and clear project presentation.",
       "exists": true,
-      "bytes": 7363,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1307,7 +1307,7 @@
       "volatile": true,
       "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
-      "bytes": 184689,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1318,8 +1318,8 @@
       "surface": "repo",
       "shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
       "exists": true,
-      "bytes": 69027,
-      "sha256": "501c8ac16d564054404d486b4fa2c510159a1dad09b43b4b6598e3b9eac8fb3a"
     },
     {
       "id": "reproducibility_contract",
@@ -1329,8 +1329,8 @@
       "surface": "repo_hf",
       "shows": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
       "exists": true,
-      "bytes": 10056,
-      "sha256": "007423c363cfa0af9f62a1c953a0babbd43183f854a6dddae0f28ff9180c3555"
     },
     {
       "id": "reproducibility_matrix",
@@ -1351,8 +1351,8 @@
       "surface": "repo_hf",
       "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 68190,
-      "sha256": "b76704eaae7755412a9a2ceadb258c8385f719b1651a8d17a22eb0f09848627c"
     },
     {
       "id": "publication_audit",
@@ -1363,7 +1363,7 @@
       "volatile": true,
       "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and credential text.",
       "exists": true,
-      "bytes": 10877,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1387,7 +1387,7 @@
       "volatile": true,
       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 1418076,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1399,7 +1399,7 @@
       "volatile": true,
       "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 20658,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -1503,47 +1503,47 @@
     },
     {
       "id": "tier2_task_suite",
-      "title": "Tasks 13-20 result bundle",
       "path": "results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json",
       "kind": "metrics_source",
       "surface": "repo_hf",
-      "shows": "Stores the historical result bundle for unified tasks 13-20 with minimal and neural baselines aligned to the same 20-task window/split setup.",
       "exists": true,
       "bytes": 33402,
       "sha256": "5a1051d25ceafe53c60dbd5b81d4b686a421c493ad09a462ad96bac100c5f3f3"
     },
     {
       "id": "tier2_task_suite_json",
-      "title": "Tasks 13-20 result JSON",
       "path": "docs/data/tier2_task_suite.json",
       "kind": "website_data",
       "surface": "website_hf",
-      "shows": "Machine-readable tasks 13-20 definitions, setup alignment, metrics, and public source paths; the file name is historical.",
       "exists": true,
       "bytes": 33402,
       "sha256": "5a1051d25ceafe53c60dbd5b81d4b686a421c493ad09a462ad96bac100c5f3f3"
     },
     {
       "id": "tier2_task_suite_chart",
-      "title": "Tasks 13-20 chart",
       "path": "docs/assets/charts/tier2_task_suite.svg",
       "kind": "generated_figure",
       "surface": "website_hf",
-      "shows": "Visual summary of the eight additional task baseline metrics in the unified 20-task suite.",
       "exists": true,
       "bytes": 5437,
       "sha256": "3e35e476f559cd6188e5417e4d28c25efc130abafc9cab2d941bc77d559177a1"
     },
     {
       "id": "tier2_task_suite_builder",
-      "title": "Tasks 13-20 builder",
       "path": "scripts/tier2_task_suite.py",
       "kind": "evaluation_protocol",
       "surface": "repo_hf",
-      "shows": "Regenerates tasks 13-20 from shared windows plus the local public-sample annotation HDF5; the script name is historical.",
       "exists": true,
-      "bytes": 47071,
-      "sha256": "3143c711af1edc20efd390a6470941c9e087677c6259486d0bdf1b0e06a543e5"
     },
     {
       "id": "task_walkthroughs",

 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
+  "generated_at_utc": "2026-06-21T14:40:34+00:00",
   "status": "pass",
   "artifact_count": 228,
   "missing": [],
       "surface": "repo_hf",
       "shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
       "exists": true,
+      "bytes": 4826,
+      "sha256": "3e432c722daca11e1932a8056d73b9debb6f2c52c13d7b21e9871bb2a490d79d"
     },
     {
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       "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
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       "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
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       "shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
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       "surface": "repo_hf",
       "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
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       "shows": "Records the last live GitHub/HF URL verification after upload.",
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       "surface": "repo",
       "shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
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       "shows": "Generates the selective artifact catalog from local files.",
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       "hash_policy": "existence_and_size_only"
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       "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
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       "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
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       "path": "results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json",
       "kind": "metrics_source",
       "surface": "repo_hf",
+      "shows": "Stores the historical result bundle for provenance rows with minimal and neural baselines aligned to the same 20-task window/split setup.",
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       "path": "docs/data/tier2_task_suite.json",
       "kind": "website_data",
       "surface": "website_hf",
+      "shows": "Machine-readable provenance definitions, setup alignment, metrics, and public source paths; the file name is historical.",
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+      "title": "Unified 20-task provenance chart",
       "path": "docs/assets/charts/tier2_task_suite.svg",
       "kind": "generated_figure",
       "surface": "website_hf",
+      "shows": "Visual summary of the historical provenance baseline metrics inside the unified 20-task suite.",
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+      "title": "Unified 20-task provenance builder",
       "path": "scripts/tier2_task_suite.py",
       "kind": "evaluation_protocol",
       "surface": "repo_hf",
+      "shows": "Regenerates the historical provenance rows from shared windows plus the local public-sample annotation HDF5; the script name is historical.",
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docs/data/evaluation_protocol.json CHANGED Viewed

@@ -2,7 +2,7 @@
   "title": "Ropedia Xperience-10M Task Suite Evaluation Protocol",
   "status": "pass",
   "version": "2026-06-01",
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@@ -30,7 +30,7 @@
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     "unified_results": "docs/data/task_suite_20.json",
     "legacy_additional_task_result_path": "docs/data/tier2_task_suite.json",
-    "legacy_path_note": "The tier2_task_suite path is retained for stable links only; tasks 13-20 are presented as part of the same 20-task suite."
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   "split_policy": {
     "name": "single_episode_chronological",

   "title": "Ropedia Xperience-10M Task Suite Evaluation Protocol",
   "status": "pass",
   "version": "2026-06-01",
+  "generated_at_utc": "2026-06-21T14:40:33+00:00",
   "source_files": [
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     "unified_results": "docs/data/task_suite_20.json",
     "legacy_additional_task_result_path": "docs/data/tier2_task_suite.json",
+    "legacy_path_note": "The tier2_task_suite path is retained for stable links only; it is provenance inside the same 20-task suite."
   },
   "split_policy": {
     "name": "single_episode_chronological",

docs/data/figure_index.json CHANGED Viewed

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
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   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
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@@ -386,9 +386,9 @@
     },
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       "path": "docs/assets/charts/tier2_task_suite.svg",
-      "role": "Eight additional sample-supported tasks in the unified 20-task suite with aligned minimal and neural baseline metrics.",
       "source_script": "scripts/tier2_task_suite.py",
       "surface": "website unified task section, README, HF mirrors",
       "exists": true,

 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
+  "generated_at_utc": "2026-06-21T14:40:33+00:00",
   "scope": "Public figures, diagrams, charts, and derived modality thumbnails. Raw Xperience-10M videos, annotations, RRD files, and Qwen weights are excluded.",
   "figure_count": 29,
   "figures": [
     },
     {
       "id": "tier2_task_suite_chart",
+      "title": "Unified 20-task provenance chart",
       "path": "docs/assets/charts/tier2_task_suite.svg",
+      "role": "Historical provenance rows inside the unified 20-task suite with aligned minimal and neural baseline metrics.",
       "source_script": "scripts/tier2_task_suite.py",
       "surface": "website unified task section, README, HF mirrors",
       "exists": true,

docs/data/glossary.json CHANGED Viewed

@@ -138,8 +138,8 @@
       "term": "Unified 20-task suite",
       "category": "tasks_metrics",
       "plain_meaning": "The current task surface.",
-      "project_usage": "Tasks 1-12 plus tasks 13-20 are presented together and scored across methods where real artifacts exist.",
-      "do_not_confuse_with": "The historical tier-2 label.",
       "primary_files": ["TASK_SUITE_20.md", "docs/data/task_suite_20.json"]
     },
     {

       "term": "Unified 20-task suite",
       "category": "tasks_metrics",
       "plain_meaning": "The current task surface.",
+      "project_usage": "All 20 task contracts are presented together and scored across methods where real artifacts exist.",
+      "do_not_confuse_with": "Historical tier2_task_suite filenames, which are provenance paths rather than a second suite.",
       "primary_files": ["TASK_SUITE_20.md", "docs/data/task_suite_20.json"]
     },
     {

docs/data/mirror_parity.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
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-  "generated_at_utc": "2026-06-21T14:13:08+00:00",
   "hf_root": "hf_publish",
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@@ -138,45 +138,45 @@
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@@ -285,45 +285,45 @@
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@@ -334,45 +334,45 @@
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@@ -432,45 +432,45 @@
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@@ -481,45 +481,45 @@
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@@ -1,7 +1,7 @@
 {
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@@ -18,7 +18,7 @@
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@@ -28,7 +28,7 @@
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@@ -43,12 +43,12 @@
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@@ -131,7 +131,7 @@
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         "data/unified_task_model_radar.json": 21,

 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
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   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
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@@ -1,6 +1,6 @@
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@@ -257,7 +257,7 @@
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@@ -268,7 +268,7 @@
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 {
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   "checks": [
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       "largest_file": {
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     "hf_model_bundle": {
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       "largest_file": {
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@@ -1,7 +1,7 @@
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   "automated_gates": [
     {

 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
+  "generated_at_utc": "2026-06-21T14:46:48+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
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@@ -1,6 +1,6 @@
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   "summary": {
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     "dataset_manifest_num_episodes": 119,

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-21T14:47:03+00:00",
   "summary": {
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@@ -1,7 +1,7 @@
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     "full_dataset_repo": "ropedia-ai/xperience-10m",

 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
+  "generated_at_utc": "2026-06-21T14:46:49+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
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docs/data/task_suite_20.json CHANGED Viewed

@@ -1,7 +1,7 @@
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@@ -9,7 +9,7 @@
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   },
   "dataset_scope": {

 {
   "title": "Ropedia Xperience-10M Unified 20-Task Suite",
   "status": "pass",
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   "task_count": 20,
   "task_count_breakdown": {
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     "total_unified_tasks": 20
   },
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     "legacy_path_note": "The directory and file name tier2_task_suite are retained only for backward-compatible artifact links; they are not a separate public benchmark tier."
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@@ -1,6 +1,6 @@
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     "expected_original_walkthrough_task_count": 12,

 {
   "status": "pass",
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@@ -1,9 +1,9 @@
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   "integrated_with_tasks_1_to_12": {
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     "additional_task_count": 8,

 {
+  "title": "Ropedia Xperience-10M Unified 20-Task Provenance Bundle",
   "status": "pass",
   "generated_at_utc": "2026-06-16T06:25:58+00:00",
   "suite_position": "tasks_13_to_20",
+  "legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; this bundle is provenance inside the unified 20-task suite, not a separate public tier.",
   "integrated_with_tasks_1_to_12": {
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@@ -1,6 +1,6 @@
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-  "generated_at_utc": "2026-06-21T13:52:08+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
@@ -81,7 +81,7 @@
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 121816,
-      "evidence_index": 167674
     },
     {
       "name": "project_status_links_json",
@@ -160,8 +160,8 @@
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 121816,
-      "protocol_index": 163864,
-      "evidence_index": 167674
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -179,8 +179,8 @@
       "name": "suite_task_map_precedes_modality_atlas",
       "status": "pass",
       "reason": "The Suite anchor should show the task-suite map before the modality atlas.",
-      "first_marker_index": 471,
-      "second_marker_index": 3824
     },
     {
       "name": "suite_modality_atlas_contains_seven_cards",
@@ -301,7 +301,7 @@
     },
     {
       "path": "data/artifact_index.json",
-      "bytes": 124252,
       "top_level_type": "dict"
     },
     {
@@ -321,7 +321,7 @@
     },
     {
       "path": "data/evaluation_protocol.json",
-      "bytes": 24020,
       "top_level_type": "dict"
     },
     {
@@ -331,7 +331,7 @@
     },
     {
       "path": "data/figure_index.json",
-      "bytes": 19472,
       "top_level_type": "dict"
     },
     {
@@ -341,7 +341,7 @@
     },
     {
       "path": "data/glossary.json",
-      "bytes": 17321,
       "top_level_type": "dict"
     },
     {
@@ -351,7 +351,7 @@
     },
     {
       "path": "data/live_publication_status.json",
-      "bytes": 191119,
       "top_level_type": "dict"
     },
     {
@@ -511,7 +511,7 @@
     },
     {
       "path": "data/task_suite_20.json",
-      "bytes": 34648,
       "top_level_type": "dict"
     },
     {
@@ -536,7 +536,7 @@
     },
     {
       "path": "data/tier2_task_suite.json",
-      "bytes": 33402,
       "top_level_type": "dict"
     },
     {
@@ -659,7 +659,7 @@
     {
       "path": "assets/charts/tier2_task_suite.svg",
       "exists": true,
-      "bytes": 5437,
       "format": "SVG",
       "has_viewbox": true
     },
@@ -784,7 +784,7 @@
     {
       "path": "assets/task_suite_infographic.png",
       "exists": true,
-      "bytes": 1903454,
       "width": 1800,
       "height": 7600,
       "format": "PNG"

 {
   "status": "pass",
+  "generated_at_utc": "2026-06-21T14:45:02+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
       "overview_index": 121816,
+      "evidence_index": 167645
     },
     {
       "name": "project_status_links_json",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
       "overview_index": 121816,
+      "protocol_index": 163835,
+      "evidence_index": 167645
     },
     {
       "name": "evaluation_protocol_links_json",
       "name": "suite_task_map_precedes_modality_atlas",
       "status": "pass",
       "reason": "The Suite anchor should show the task-suite map before the modality atlas.",
+      "first_marker_index": 468,
+      "second_marker_index": 3821
     },
     {
       "name": "suite_modality_atlas_contains_seven_cards",
     },
     {
       "path": "data/artifact_index.json",
+      "bytes": 124294,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/evaluation_protocol.json",
+      "bytes": 24007,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/figure_index.json",
+      "bytes": 19469,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/glossary.json",
+      "bytes": 17380,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/live_publication_status.json",
+      "bytes": 189922,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/task_suite_20.json",
+      "bytes": 34597,
       "top_level_type": "dict"
     },
     {
     },
     {
       "path": "data/tier2_task_suite.json",
+      "bytes": 33411,
       "top_level_type": "dict"
     },
     {
     {
       "path": "assets/charts/tier2_task_suite.svg",
       "exists": true,
+      "bytes": 5453,
       "format": "SVG",
       "has_viewbox": true
     },
     {
       "path": "assets/task_suite_infographic.png",
       "exists": true,
+      "bytes": 1897278,
       "width": 1800,
       "height": 7600,
       "format": "PNG"

docs/index.html CHANGED Viewed

@@ -4449,7 +4449,7 @@
               <ul>
                 <li>1,161 aligned windows from one public sample episode</li>
                 <li>20 unified task contracts with minimal and neural evidence</li>
-                <li>Tasks 13-20 aligned to the same setup as tasks 1-12</li>
                 <li>Four research-direction maps and extension probes</li>
               </ul>
             </article>
@@ -4513,7 +4513,7 @@
             <div class="snapshot-meta">
               <span>tracks <strong>4</strong></span>
           <span>tasks <strong>20</strong></span>
-          <span>tasks 13-20 <strong>aligned</strong></span>
               <span>roadmap phases <strong>5</strong></span>
             </div>
             <div class="snapshot-actions">
@@ -4534,11 +4534,11 @@
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Task suite and baseline heads</h3>
-            <p>The unified task suite has minimal baseline evidence, and the original task cards plus tasks 13-20 share the same windows, splits, and label discipline.</p>
             <div class="snapshot-meta">
               <span>tasks <strong>20</strong></span>
-              <span>original neural heads <strong>12</strong></span>
-              <span>tasks 13-20 <strong>8</strong></span>
             </div>
           </article>
           <article class="snapshot-card">
@@ -4893,7 +4893,7 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Figures are indexed</h3>
-            <p>The visual set includes the logo, modality atlas, task-suite figure, unified 20-task model radar, model-architecture figure, tasks 13-20 chart, and Qwen3-Omni LoRA training-flow figure.</p>
             <div class="evidence-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure guide</a>
               <a href="assets/task_suite_infographic.png">task-suite figure</a>
@@ -5125,7 +5125,7 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Ropedia Xperience-10M Unified 20-Task Suite.</h2>
-          <p>The suite connects synchronized multimodal windows to 20 task contracts. The large map visualizes the original task families, while tasks 13-20 are listed as the aligned continuation under the same setup.</p>
         </div>
         <div class="figure-pan" id="task-suite-map">
           <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-taskfirst-v13-modality-xl" alt="Infographic showing Ropedia Xperience-10M task families with enlarged full-width modality cards">
@@ -5506,13 +5506,13 @@
       </div>
     </section>
-    <section id="extensions" data-project-tab="directions" role="tabpanel" aria-labelledby="tab-directions" tabindex="-1">
       <div class="wrap">
         <div class="section-head">
-          <h2>Tasks 13-20 complete the unified 20-task suite.</h2>
-          <p>The original four direction probes remain as focused examples. Tasks 13-20 add eight sample-supported baselines using the same windows, feature manifest, chronological split, and minimal/neural head pattern as tasks 1-12.</p>
         </div>
-        <img class="chart" src="assets/charts/tier2_task_suite.svg?v=xperience10m-tier2" alt="Eight Xperience-10M tasks 13-20 with minimal and neural metrics">
         <div class="extension-grid">
           <article class="extension-card">
             <span class="status-pill">Task 13 / forecast</span>
@@ -5573,13 +5573,13 @@
         </div>
         <div class="callout-row">
           <div class="callout">
-            <h3>Tasks 13-20 artifact package</h3>
-            <p>The eight-task package has JSON metrics, prediction/rank files, a Markdown summary, and a chart generated from the local public-sample annotation and committed shared-window tensor.</p>
-            <p><a href="data/task_suite_20.json">Open unified 20-task JSON</a> · <a href="data/tier2_task_suite.json">tasks 13-20 result JSON</a></p>
           </div>
           <div class="callout">
-            <h3>Setup alignment</h3>
-            <p>Tasks 13-20 use the same 20-frame windows, 5-frame stride, 8,546-dimensional feature manifest, chronological split, and minimal/neural comparison pattern as tasks 1-12.</p>
           </div>
         </div>
         <img class="chart" src="assets/charts/research_direction_extension_tasks.svg?v=xperience10m-ext" alt="Four Xperience-10M research-direction extension probes with minimal and neural metrics">
@@ -5698,7 +5698,7 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Task cards and metrics.</h2>
-          <p>The original task cards use readable research names, representative modality thumbnails, explicit input-process-output contracts, and verified minimal versus neural scores. The unified 20-task index adds tasks 13-20 in the same suite.</p>
         </div>
         <div class="task-toolbar" aria-label="Task filters">
           <button class="filter active" data-filter="all">All tasks</button>
@@ -5860,7 +5860,7 @@
               <article class="artifact primary-artifact"><div><h3>Task results</h3><p>Every task definition, split detail, feature dimension, and minimal/neural metric in one project output.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/summary_report.json">task results</a></article>
               <article class="artifact"><h3>Windows table</h3><p>Window start/end frames and aligned action/subtask labels for the public sample episode.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/windows.csv">window table</a></article>
               <article class="artifact"><h3>Feature inputs</h3><p>Source map for the current modality inputs used by the task suite.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/feature_manifest.json">feature inputs</a></article>
-              <article class="artifact"><h3>Neural MLP task results</h3><p>Per-task PyTorch MLP metrics, predictions, histories, and checkpoints for the original task contracts, with tasks 13-20 published in the aligned result bundle.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/neural_mlp">neural MLP outputs</a></article>
               <article class="artifact"><h3>Four-direction taxonomy</h3><p>Maps the original tasks to the four research tracks: human modeling, 3D/4D reconstruction, egocentric interaction, and world modeling.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_directions">research direction outputs</a></article>
               <article class="artifact"><h3>Direction extension probes</h3><p>Four coded probes, one per research direction, with minimal and neural metrics plus prediction/rank CSVs.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_direction_extensions">extension probe outputs</a></article>
               <article class="artifact"><h3>Task walkthroughs</h3><p>Case studies for the original tasks, including input, middle process modules, output, metric, limitation, and task-player data.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/task_walkthroughs">walkthrough outputs</a></article>
@@ -5962,7 +5962,7 @@
           <article class="artifact"><h3>Project dashboard</h3><p>The website organizes the dataset sample, tasks, methods, results, directions, and scale-up path in one tabbed reader flow.</p><a href="#artifacts">project materials</a></article>
               <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Full Qwen v1-v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_omni_run_lineage.json">Qwen v1-v6</a></article>
         </div>
-        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the task suite with neural heads, regenerate tasks 13-20, build the unified 20-task index, regenerate visualizations, then rebuild the supporting project reports.</p>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git
 python3.12 -m venv .venv
 source .venv/bin/activate
@@ -6270,7 +6270,7 @@ python scripts/validate_publication_package.py</code></pre>
       { id: "models", label: "Minimal Baselines" },
       { id: "neural", label: "Neural Heads" },
       { id: "directions", label: "Four Directions" },
-      { id: "extensions", label: "Tasks 13-20" },
       { id: "diagnostics", label: "Diagnostic Charts" },
       { id: "evidence", label: "Research Progress" },
       { id: "glossary", label: "Glossary" },
@@ -6296,7 +6296,7 @@ python scripts/validate_publication_package.py</code></pre>
       models: "Best for minimal baseline evidence.",
       neural: "Best for neural MLP task-head comparisons.",
       directions: "Best for mapping tasks to spatial, world-model, and VLA directions.",
-      extensions: "Best for tasks 13-20 and the extended task surface.",
       diagnostics: "Best for charts and error-analysis evidence.",
       glossary: "Best for terms that can be confused across data, tasks, models, metrics, and public mirrors.",
       artifacts: "Best for finding files, mirrors, weights, scripts, and checks.",
@@ -6642,7 +6642,86 @@ python scripts/validate_publication_package.py</code></pre>
       return Math.max(4, Math.min(100, value * 100));
     };
-    const normalizeTasks = (payload) => Object.values(payload.tasks || {});
     const modalityLabels = (task) => (task.modalities || [])
       .map((key) => modalityMeta[key]?.label)
@@ -6843,9 +6922,13 @@ python scripts/validate_publication_package.py</code></pre>
     async function initTaskSurface() {
       try {
-        const response = await fetch("data/task_walkthroughs.json", { cache: "no-cache" });
-        if (!response.ok) throw new Error(`task data ${response.status}`);
-        taskEntries = normalizeTasks(await response.json());
         renderTaskCards();
         renderSelector();
         setActiveTask(0);

               <ul>
                 <li>1,161 aligned windows from one public sample episode</li>
                 <li>20 unified task contracts with minimal and neural evidence</li>
+                <li>One shared setup across all 20 task axes</li>
                 <li>Four research-direction maps and extension probes</li>
               </ul>
             </article>
             <div class="snapshot-meta">
               <span>tracks <strong>4</strong></span>
           <span>tasks <strong>20</strong></span>
+          <span>setup <strong>unified</strong></span>
               <span>roadmap phases <strong>5</strong></span>
             </div>
             <div class="snapshot-actions">
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Task suite and baseline heads</h3>
+            <p>The unified task suite has minimal and neural baseline evidence across one 20-axis task surface with shared windows, splits, and label discipline.</p>
             <div class="snapshot-meta">
               <span>tasks <strong>20</strong></span>
+              <span>minimal heads <strong>20</strong></span>
+              <span>neural heads <strong>20</strong></span>
             </div>
           </article>
           <article class="snapshot-card">
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Figures are indexed</h3>
+            <p>The visual set includes the logo, modality atlas, task-suite figure, unified 20-task model radar, model-architecture figure, provenance baseline chart, and Qwen3-Omni LoRA training-flow figure.</p>
             <div class="evidence-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure guide</a>
               <a href="assets/task_suite_infographic.png">task-suite figure</a>
       <div class="wrap">
         <div class="section-head">
           <h2>Ropedia Xperience-10M Unified 20-Task Suite.</h2>
+          <p>The suite connects synchronized multimodal windows to 20 task contracts in one table, one radar surface, and one source-linked result matrix. Historical filenames remain only for stable artifact links.</p>
         </div>
         <div class="figure-pan" id="task-suite-map">
           <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-taskfirst-v13-modality-xl" alt="Infographic showing Ropedia Xperience-10M task families with enlarged full-width modality cards">
       </div>
     </section>
+    <section id="extensions" data-project-tab="data" role="tabpanel" aria-labelledby="tab-data" tabindex="-1">
       <div class="wrap">
         <div class="section-head">
+          <h2>Unified 20-task evidence and provenance.</h2>
+          <p>All 20 tasks now live in the same task table, task-card grid, radar, and 180-record result matrix. The chart below is retained as provenance for the historically named result bundle, not as a separate task tier.</p>
         </div>
+        <img class="chart" src="assets/charts/tier2_task_suite.svg?v=xperience10m-tier2" alt="Historical additional-task provenance chart for the unified Xperience-10M 20-task suite">
         <div class="extension-grid">
           <article class="extension-card">
             <span class="status-pill">Task 13 / forecast</span>
         </div>
         <div class="callout-row">
           <div class="callout">
+            <h3>Unified task artifact package</h3>
+            <p>The public task package has the 20-task JSON, per-task metrics, prediction/rank files, Markdown summaries, and charts generated from the local public-sample annotation and committed shared-window tensor.</p>
+            <p><a href="data/task_suite_20.json">Open unified 20-task JSON</a> · <a href="data/tier2_task_suite.json">Open historical provenance JSON</a></p>
           </div>
           <div class="callout">
+            <h3>One setup, one task surface</h3>
+            <p>Every task uses the same 20-frame window unit, 5-frame stride, 8,546-dimensional feature manifest, chronological split discipline, and minimal/neural comparison pattern unless a task-specific leakage rule removes target-side features.</p>
           </div>
         </div>
         <img class="chart" src="assets/charts/research_direction_extension_tasks.svg?v=xperience10m-ext" alt="Four Xperience-10M research-direction extension probes with minimal and neural metrics">
       <div class="wrap">
         <div class="section-head">
           <h2>Task cards and metrics.</h2>
+          <p>All 20 task contracts are shown together with readable research names, representative modality thumbnails, explicit input-process-output contracts, and verified minimal versus neural scores. Rich interactive walkthroughs are available for the first 12 task cards; the remaining cards use the same unified task JSON contract.</p>
         </div>
         <div class="task-toolbar" aria-label="Task filters">
           <button class="filter active" data-filter="all">All tasks</button>
               <article class="artifact primary-artifact"><div><h3>Task results</h3><p>Every task definition, split detail, feature dimension, and minimal/neural metric in one project output.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/summary_report.json">task results</a></article>
               <article class="artifact"><h3>Windows table</h3><p>Window start/end frames and aligned action/subtask labels for the public sample episode.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/windows.csv">window table</a></article>
               <article class="artifact"><h3>Feature inputs</h3><p>Source map for the current modality inputs used by the task suite.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/feature_manifest.json">feature inputs</a></article>
+              <article class="artifact"><h3>Neural MLP task results</h3><p>Per-task PyTorch MLP metrics, predictions, histories, and checkpoints for the unified task contracts, with historical result-bundle paths retained for provenance.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/neural_mlp">neural MLP outputs</a></article>
               <article class="artifact"><h3>Four-direction taxonomy</h3><p>Maps the original tasks to the four research tracks: human modeling, 3D/4D reconstruction, egocentric interaction, and world modeling.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_directions">research direction outputs</a></article>
               <article class="artifact"><h3>Direction extension probes</h3><p>Four coded probes, one per research direction, with minimal and neural metrics plus prediction/rank CSVs.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_direction_extensions">extension probe outputs</a></article>
               <article class="artifact"><h3>Task walkthroughs</h3><p>Case studies for the original tasks, including input, middle process modules, output, metric, limitation, and task-player data.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/task_walkthroughs">walkthrough outputs</a></article>
           <article class="artifact"><h3>Project dashboard</h3><p>The website organizes the dataset sample, tasks, methods, results, directions, and scale-up path in one tabbed reader flow.</p><a href="#artifacts">project materials</a></article>
               <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Full Qwen v1-v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_omni_run_lineage.json">Qwen v1-v6</a></article>
         </div>
+        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the task suite with neural heads, regenerate the historical provenance bundle, build the unified 20-task index, regenerate visualizations, then rebuild the supporting project reports.</p>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git
 python3.12 -m venv .venv
 source .venv/bin/activate
       { id: "models", label: "Minimal Baselines" },
       { id: "neural", label: "Neural Heads" },
       { id: "directions", label: "Four Directions" },
+      { id: "extensions", label: "Unified Task Evidence" },
       { id: "diagnostics", label: "Diagnostic Charts" },
       { id: "evidence", label: "Research Progress" },
       { id: "glossary", label: "Glossary" },
       models: "Best for minimal baseline evidence.",
       neural: "Best for neural MLP task-head comparisons.",
       directions: "Best for mapping tasks to spatial, world-model, and VLA directions.",
+      extensions: "Best for historical provenance links inside the unified 20-task surface.",
       diagnostics: "Best for charts and error-analysis evidence.",
       glossary: "Best for terms that can be confused across data, tasks, models, metrics, and public mirrors.",
       artifacts: "Best for finding files, mirrors, weights, scripts, and checks.",
       return Math.max(4, Math.min(100, value * 100));
     };
+    const normalizeWalkthroughTasks = (payload) => Object.values(payload.tasks || {});
+    const normalizeSuiteTasks = (payload) => Array.isArray(payload.tasks) ? payload.tasks : Object.values(payload.tasks || {});
+    const familyFromSuiteTask = (task) => {
+      const id = task.task_id || "";
+      const text = `${id} ${task.task_display_name || ""} ${task.output_short || ""}`.toLowerCase();
+      if (text.includes("retrieval") || text.includes("sync")) return "retrieval";
+      if (text.includes("forecast") || text.includes("future") || text.includes("next") || text.includes("transition regression")) return "forecast";
+      if (text.includes("reconstruction") || text.includes("pose") || text.includes("order") || text.includes("boundary")) return "diagnostic";
+      return "supervised";
+    };
+    const modalitiesFromSuiteTask = (task) => {
+      const text = `${task.input || ""} ${task.output || ""} ${task.task_id || ""}`.toLowerCase();
+      const modalities = [];
+      if (text.includes("video") || text.includes("camera") || text.includes("view") || text.includes("fisheye")) modalities.push("video");
+      if (text.includes("audio")) modalities.push("audio");
+      if (text.includes("depth")) modalities.push("depth");
+      if (text.includes("pose") || text.includes("slam")) modalities.push("pose_slam");
+      if (text.includes("hand") || text.includes("body") || text.includes("mocap")) modalities.push("motion_capture");
+      if (text.includes("imu") || text.includes("inertial") || text.includes("gyroscope")) modalities.push("inertial");
+      if (text.includes("language") || text.includes("caption") || text.includes("text") || text.includes("interaction")) modalities.push("language");
+      return modalities.length ? Array.from(new Set(modalities)) : ["video", "motion_capture", "inertial"];
+    };
+    const synthesizeTaskCard = (task) => {
+      const modalities = modalitiesFromSuiteTask(task);
+      const family = familyFromSuiteTask(task);
+      return {
+        display_name: task.task_display_name || task.task_id || "Task",
+        research_name: `${task.suite_label || "Task"} · ${task.research_name || task.primary_direction || "Unified task contract"}`,
+        task_family: family,
+        architecture_family: task.architecture_family || task.family || "task head",
+        poster_modality: modalities[0] || "video",
+        modalities,
+        card_blurb: task.meaning || "A source-linked task contract in the unified 20-task suite.",
+        case_study: task.meaning || "This task is defined by the unified 20-task JSON contract.",
+        input_short: task.input_short || task.input || "20-frame multimodal window",
+        process_short: task.process || "shared window features -> task-specific head",
+        output_short: task.output_short || task.output || "task target",
+        middle_modules: [
+          task.process || "Build the task target from the shared window table.",
+          `Metric: ${task.metric_name || task.metric_key || "primary metric"}.`,
+          `Source: ${(task.artifact_sources && (task.artifact_sources.minimal_metrics || task.artifact_sources.walkthrough || task.artifact_sources.legacy_result_directory)) || "docs/data/task_suite_20.json"}.`
+        ],
+        metric: {
+          name: task.metric_name || task.metric_key || "metric",
+          direction: task.metric_direction || "higher",
+          minimal: task.minimal_primary_metric,
+          neural_mlp: task.neural_primary_metric
+        },
+        failure_mode: "single-episode chronological split; read the 180-record matrix for selected-128 method comparisons"
+      };
+    };
+    const mergeUnifiedTaskCards = (walkthroughPayload, suitePayload) => {
+      const walkthroughTasks = normalizeWalkthroughTasks(walkthroughPayload);
+      const walkthroughById = Object.fromEntries(
+        walkthroughTasks.map((task) => [task.task_id || task.artifact_id || task.display_name, task])
+      );
+      const suiteTasks = normalizeSuiteTasks(suitePayload);
+      return suiteTasks.map((task) => {
+        const rich = walkthroughById[task.task_id];
+        if (rich) {
+          return {
+            ...rich,
+            display_name: task.task_display_name || rich.display_name,
+            research_name: `${task.suite_label || ""} · ${rich.research_name || task.research_name || ""}`.replace(/^ · /, ""),
+            metric: {
+              ...(rich.metric || {}),
+              name: task.metric_name || rich.metric?.name,
+              direction: task.metric_direction || rich.metric?.direction,
+              minimal: task.minimal_primary_metric ?? rich.metric?.minimal,
+              neural_mlp: task.neural_primary_metric ?? rich.metric?.neural_mlp
+            }
+          };
+        }
+        return synthesizeTaskCard(task);
+      });
+    };
     const modalityLabels = (task) => (task.modalities || [])
       .map((key) => modalityMeta[key]?.label)
     async function initTaskSurface() {
       try {
+        const [walkthroughResponse, suiteResponse] = await Promise.all([
+          fetch("data/task_walkthroughs.json", { cache: "no-cache" }),
+          fetch("data/task_suite_20.json", { cache: "no-cache" })
+        ]);
+        if (!walkthroughResponse.ok) throw new Error(`walkthrough data ${walkthroughResponse.status}`);
+        if (!suiteResponse.ok) throw new Error(`suite data ${suiteResponse.status}`);
+        taskEntries = mergeUnifiedTaskCards(await walkthroughResponse.json(), await suiteResponse.json());
         renderTaskCards();
         renderSelector();
         setActiveTask(0);

index.html CHANGED Viewed

@@ -4449,7 +4449,7 @@
               <ul>
                 <li>1,161 aligned windows from one public sample episode</li>
                 <li>20 unified task contracts with minimal and neural evidence</li>
-                <li>Tasks 13-20 aligned to the same setup as tasks 1-12</li>
                 <li>Four research-direction maps and extension probes</li>
               </ul>
             </article>
@@ -4513,7 +4513,7 @@
             <div class="snapshot-meta">
               <span>tracks <strong>4</strong></span>
           <span>tasks <strong>20</strong></span>
-          <span>tasks 13-20 <strong>aligned</strong></span>
               <span>roadmap phases <strong>5</strong></span>
             </div>
             <div class="snapshot-actions">
@@ -4534,11 +4534,11 @@
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Task suite and baseline heads</h3>
-            <p>The unified task suite has minimal baseline evidence, and the original task cards plus tasks 13-20 share the same windows, splits, and label discipline.</p>
             <div class="snapshot-meta">
               <span>tasks <strong>20</strong></span>
-              <span>original neural heads <strong>12</strong></span>
-              <span>tasks 13-20 <strong>8</strong></span>
             </div>
           </article>
           <article class="snapshot-card">
@@ -4893,7 +4893,7 @@
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Figures are indexed</h3>
-            <p>The visual set includes the logo, modality atlas, task-suite figure, unified 20-task model radar, model-architecture figure, tasks 13-20 chart, and Qwen3-Omni LoRA training-flow figure.</p>
             <div class="evidence-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure guide</a>
               <a href="assets/task_suite_infographic.png">task-suite figure</a>
@@ -5125,7 +5125,7 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Ropedia Xperience-10M Unified 20-Task Suite.</h2>
-          <p>The suite connects synchronized multimodal windows to 20 task contracts. The large map visualizes the original task families, while tasks 13-20 are listed as the aligned continuation under the same setup.</p>
         </div>
         <div class="figure-pan" id="task-suite-map">
           <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-taskfirst-v13-modality-xl" alt="Infographic showing Ropedia Xperience-10M task families with enlarged full-width modality cards">
@@ -5506,13 +5506,13 @@
       </div>
     </section>
-    <section id="extensions" data-project-tab="directions" role="tabpanel" aria-labelledby="tab-directions" tabindex="-1">
       <div class="wrap">
         <div class="section-head">
-          <h2>Tasks 13-20 complete the unified 20-task suite.</h2>
-          <p>The original four direction probes remain as focused examples. Tasks 13-20 add eight sample-supported baselines using the same windows, feature manifest, chronological split, and minimal/neural head pattern as tasks 1-12.</p>
         </div>
-        <img class="chart" src="assets/charts/tier2_task_suite.svg?v=xperience10m-tier2" alt="Eight Xperience-10M tasks 13-20 with minimal and neural metrics">
         <div class="extension-grid">
           <article class="extension-card">
             <span class="status-pill">Task 13 / forecast</span>
@@ -5573,13 +5573,13 @@
         </div>
         <div class="callout-row">
           <div class="callout">
-            <h3>Tasks 13-20 artifact package</h3>
-            <p>The eight-task package has JSON metrics, prediction/rank files, a Markdown summary, and a chart generated from the local public-sample annotation and committed shared-window tensor.</p>
-            <p><a href="data/task_suite_20.json">Open unified 20-task JSON</a> · <a href="data/tier2_task_suite.json">tasks 13-20 result JSON</a></p>
           </div>
           <div class="callout">
-            <h3>Setup alignment</h3>
-            <p>Tasks 13-20 use the same 20-frame windows, 5-frame stride, 8,546-dimensional feature manifest, chronological split, and minimal/neural comparison pattern as tasks 1-12.</p>
           </div>
         </div>
         <img class="chart" src="assets/charts/research_direction_extension_tasks.svg?v=xperience10m-ext" alt="Four Xperience-10M research-direction extension probes with minimal and neural metrics">
@@ -5698,7 +5698,7 @@
       <div class="wrap">
         <div class="section-head">
           <h2>Task cards and metrics.</h2>
-          <p>The original task cards use readable research names, representative modality thumbnails, explicit input-process-output contracts, and verified minimal versus neural scores. The unified 20-task index adds tasks 13-20 in the same suite.</p>
         </div>
         <div class="task-toolbar" aria-label="Task filters">
           <button class="filter active" data-filter="all">All tasks</button>
@@ -5860,7 +5860,7 @@
               <article class="artifact primary-artifact"><div><h3>Task results</h3><p>Every task definition, split detail, feature dimension, and minimal/neural metric in one project output.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/summary_report.json">task results</a></article>
               <article class="artifact"><h3>Windows table</h3><p>Window start/end frames and aligned action/subtask labels for the public sample episode.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/windows.csv">window table</a></article>
               <article class="artifact"><h3>Feature inputs</h3><p>Source map for the current modality inputs used by the task suite.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/feature_manifest.json">feature inputs</a></article>
-              <article class="artifact"><h3>Neural MLP task results</h3><p>Per-task PyTorch MLP metrics, predictions, histories, and checkpoints for the original task contracts, with tasks 13-20 published in the aligned result bundle.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/neural_mlp">neural MLP outputs</a></article>
               <article class="artifact"><h3>Four-direction taxonomy</h3><p>Maps the original tasks to the four research tracks: human modeling, 3D/4D reconstruction, egocentric interaction, and world modeling.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_directions">research direction outputs</a></article>
               <article class="artifact"><h3>Direction extension probes</h3><p>Four coded probes, one per research direction, with minimal and neural metrics plus prediction/rank CSVs.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_direction_extensions">extension probe outputs</a></article>
               <article class="artifact"><h3>Task walkthroughs</h3><p>Case studies for the original tasks, including input, middle process modules, output, metric, limitation, and task-player data.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/task_walkthroughs">walkthrough outputs</a></article>
@@ -5962,7 +5962,7 @@
           <article class="artifact"><h3>Project dashboard</h3><p>The website organizes the dataset sample, tasks, methods, results, directions, and scale-up path in one tabbed reader flow.</p><a href="#artifacts">project materials</a></article>
               <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Full Qwen v1-v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_omni_run_lineage.json">Qwen v1-v6</a></article>
         </div>
-        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the task suite with neural heads, regenerate tasks 13-20, build the unified 20-task index, regenerate visualizations, then rebuild the supporting project reports.</p>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git
 python3.12 -m venv .venv
 source .venv/bin/activate
@@ -6270,7 +6270,7 @@ python scripts/validate_publication_package.py</code></pre>
       { id: "models", label: "Minimal Baselines" },
       { id: "neural", label: "Neural Heads" },
       { id: "directions", label: "Four Directions" },
-      { id: "extensions", label: "Tasks 13-20" },
       { id: "diagnostics", label: "Diagnostic Charts" },
       { id: "evidence", label: "Research Progress" },
       { id: "glossary", label: "Glossary" },
@@ -6296,7 +6296,7 @@ python scripts/validate_publication_package.py</code></pre>
       models: "Best for minimal baseline evidence.",
       neural: "Best for neural MLP task-head comparisons.",
       directions: "Best for mapping tasks to spatial, world-model, and VLA directions.",
-      extensions: "Best for tasks 13-20 and the extended task surface.",
       diagnostics: "Best for charts and error-analysis evidence.",
       glossary: "Best for terms that can be confused across data, tasks, models, metrics, and public mirrors.",
       artifacts: "Best for finding files, mirrors, weights, scripts, and checks.",
@@ -6642,7 +6642,86 @@ python scripts/validate_publication_package.py</code></pre>
       return Math.max(4, Math.min(100, value * 100));
     };
-    const normalizeTasks = (payload) => Object.values(payload.tasks || {});
     const modalityLabels = (task) => (task.modalities || [])
       .map((key) => modalityMeta[key]?.label)
@@ -6843,9 +6922,13 @@ python scripts/validate_publication_package.py</code></pre>
     async function initTaskSurface() {
       try {
-        const response = await fetch("data/task_walkthroughs.json", { cache: "no-cache" });
-        if (!response.ok) throw new Error(`task data ${response.status}`);
-        taskEntries = normalizeTasks(await response.json());
         renderTaskCards();
         renderSelector();
         setActiveTask(0);

               <ul>
                 <li>1,161 aligned windows from one public sample episode</li>
                 <li>20 unified task contracts with minimal and neural evidence</li>
+                <li>One shared setup across all 20 task axes</li>
                 <li>Four research-direction maps and extension probes</li>
               </ul>
             </article>
             <div class="snapshot-meta">
               <span>tracks <strong>4</strong></span>
           <span>tasks <strong>20</strong></span>
+          <span>setup <strong>unified</strong></span>
               <span>roadmap phases <strong>5</strong></span>
             </div>
             <div class="snapshot-actions">
           <article class="snapshot-card">
             <span class="status-pill">verified</span>
             <h3>Task suite and baseline heads</h3>
+            <p>The unified task suite has minimal and neural baseline evidence across one 20-axis task surface with shared windows, splits, and label discipline.</p>
             <div class="snapshot-meta">
               <span>tasks <strong>20</strong></span>
+              <span>minimal heads <strong>20</strong></span>
+              <span>neural heads <strong>20</strong></span>
             </div>
           </article>
           <article class="snapshot-card">
           <article class="evidence-card">
             <span class="status-pill">verified</span>
             <h3>Figures are indexed</h3>
+            <p>The visual set includes the logo, modality atlas, task-suite figure, unified 20-task model radar, model-architecture figure, provenance baseline chart, and Qwen3-Omni LoRA training-flow figure.</p>
             <div class="evidence-links">
               <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/FIGURE_INDEX.md">figure guide</a>
               <a href="assets/task_suite_infographic.png">task-suite figure</a>
       <div class="wrap">
         <div class="section-head">
           <h2>Ropedia Xperience-10M Unified 20-Task Suite.</h2>
+          <p>The suite connects synchronized multimodal windows to 20 task contracts in one table, one radar surface, and one source-linked result matrix. Historical filenames remain only for stable artifact links.</p>
         </div>
         <div class="figure-pan" id="task-suite-map">
           <img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-taskfirst-v13-modality-xl" alt="Infographic showing Ropedia Xperience-10M task families with enlarged full-width modality cards">
       </div>
     </section>
+    <section id="extensions" data-project-tab="data" role="tabpanel" aria-labelledby="tab-data" tabindex="-1">
       <div class="wrap">
         <div class="section-head">
+          <h2>Unified 20-task evidence and provenance.</h2>
+          <p>All 20 tasks now live in the same task table, task-card grid, radar, and 180-record result matrix. The chart below is retained as provenance for the historically named result bundle, not as a separate task tier.</p>
         </div>
+        <img class="chart" src="assets/charts/tier2_task_suite.svg?v=xperience10m-tier2" alt="Historical additional-task provenance chart for the unified Xperience-10M 20-task suite">
         <div class="extension-grid">
           <article class="extension-card">
             <span class="status-pill">Task 13 / forecast</span>
         </div>
         <div class="callout-row">
           <div class="callout">
+            <h3>Unified task artifact package</h3>
+            <p>The public task package has the 20-task JSON, per-task metrics, prediction/rank files, Markdown summaries, and charts generated from the local public-sample annotation and committed shared-window tensor.</p>
+            <p><a href="data/task_suite_20.json">Open unified 20-task JSON</a> · <a href="data/tier2_task_suite.json">Open historical provenance JSON</a></p>
           </div>
           <div class="callout">
+            <h3>One setup, one task surface</h3>
+            <p>Every task uses the same 20-frame window unit, 5-frame stride, 8,546-dimensional feature manifest, chronological split discipline, and minimal/neural comparison pattern unless a task-specific leakage rule removes target-side features.</p>
           </div>
         </div>
         <img class="chart" src="assets/charts/research_direction_extension_tasks.svg?v=xperience10m-ext" alt="Four Xperience-10M research-direction extension probes with minimal and neural metrics">
       <div class="wrap">
         <div class="section-head">
           <h2>Task cards and metrics.</h2>
+          <p>All 20 task contracts are shown together with readable research names, representative modality thumbnails, explicit input-process-output contracts, and verified minimal versus neural scores. Rich interactive walkthroughs are available for the first 12 task cards; the remaining cards use the same unified task JSON contract.</p>
         </div>
         <div class="task-toolbar" aria-label="Task filters">
           <button class="filter active" data-filter="all">All tasks</button>
               <article class="artifact primary-artifact"><div><h3>Task results</h3><p>Every task definition, split detail, feature dimension, and minimal/neural metric in one project output.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/summary_report.json">task results</a></article>
               <article class="artifact"><h3>Windows table</h3><p>Window start/end frames and aligned action/subtask labels for the public sample episode.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/windows.csv">window table</a></article>
               <article class="artifact"><h3>Feature inputs</h3><p>Source map for the current modality inputs used by the task suite.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/episode_task_suite/feature_manifest.json">feature inputs</a></article>
+              <article class="artifact"><h3>Neural MLP task results</h3><p>Per-task PyTorch MLP metrics, predictions, histories, and checkpoints for the unified task contracts, with historical result-bundle paths retained for provenance.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/neural_mlp">neural MLP outputs</a></article>
               <article class="artifact"><h3>Four-direction taxonomy</h3><p>Maps the original tasks to the four research tracks: human modeling, 3D/4D reconstruction, egocentric interaction, and world modeling.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_directions">research direction outputs</a></article>
               <article class="artifact"><h3>Direction extension probes</h3><p>Four coded probes, one per research direction, with minimal and neural metrics plus prediction/rank CSVs.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/research_direction_extensions">extension probe outputs</a></article>
               <article class="artifact"><h3>Task walkthroughs</h3><p>Case studies for the original tasks, including input, middle process modules, output, metric, limitation, and task-player data.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/tree/main/results/episode_task_suite/task_walkthroughs">walkthrough outputs</a></article>
           <article class="artifact"><h3>Project dashboard</h3><p>The website organizes the dataset sample, tasks, methods, results, directions, and scale-up path in one tabbed reader flow.</p><a href="#artifacts">project materials</a></article>
               <article class="artifact"><h3>Line 2 model status</h3><p>The comparison JSON groups selected-128 baselines, Qwen3-Omni v6 LoRA, Cosmos3-Nano Future Window, and Cosmos3-Super Reasoner. Full Qwen v1-v6 detail stays in a separate lineage audit.</p><a href="data/omni_model_comparison.json">comparison</a><a href="data/qwen3_omni_run_lineage.json">Qwen v1-v6</a></article>
         </div>
+        <p class="repro-note">Minimal path: install the toolkit dependencies, download the official sample, run the task suite with neural heads, regenerate the historical provenance bundle, build the unified 20-task index, regenerate visualizations, then rebuild the supporting project reports.</p>
         <pre class="code-panel"><button type="button" data-copy="setup">Copy</button><code id="setup">git clone https://github.com/Ropedia/HOMIE-toolkit.git
 python3.12 -m venv .venv
 source .venv/bin/activate
       { id: "models", label: "Minimal Baselines" },
       { id: "neural", label: "Neural Heads" },
       { id: "directions", label: "Four Directions" },
+      { id: "extensions", label: "Unified Task Evidence" },
       { id: "diagnostics", label: "Diagnostic Charts" },
       { id: "evidence", label: "Research Progress" },
       { id: "glossary", label: "Glossary" },
       models: "Best for minimal baseline evidence.",
       neural: "Best for neural MLP task-head comparisons.",
       directions: "Best for mapping tasks to spatial, world-model, and VLA directions.",
+      extensions: "Best for historical provenance links inside the unified 20-task surface.",
       diagnostics: "Best for charts and error-analysis evidence.",
       glossary: "Best for terms that can be confused across data, tasks, models, metrics, and public mirrors.",
       artifacts: "Best for finding files, mirrors, weights, scripts, and checks.",
       return Math.max(4, Math.min(100, value * 100));
     };
+    const normalizeWalkthroughTasks = (payload) => Object.values(payload.tasks || {});
+    const normalizeSuiteTasks = (payload) => Array.isArray(payload.tasks) ? payload.tasks : Object.values(payload.tasks || {});
+    const familyFromSuiteTask = (task) => {
+      const id = task.task_id || "";
+      const text = `${id} ${task.task_display_name || ""} ${task.output_short || ""}`.toLowerCase();
+      if (text.includes("retrieval") || text.includes("sync")) return "retrieval";
+      if (text.includes("forecast") || text.includes("future") || text.includes("next") || text.includes("transition regression")) return "forecast";
+      if (text.includes("reconstruction") || text.includes("pose") || text.includes("order") || text.includes("boundary")) return "diagnostic";
+      return "supervised";
+    };
+    const modalitiesFromSuiteTask = (task) => {
+      const text = `${task.input || ""} ${task.output || ""} ${task.task_id || ""}`.toLowerCase();
+      const modalities = [];
+      if (text.includes("video") || text.includes("camera") || text.includes("view") || text.includes("fisheye")) modalities.push("video");
+      if (text.includes("audio")) modalities.push("audio");
+      if (text.includes("depth")) modalities.push("depth");
+      if (text.includes("pose") || text.includes("slam")) modalities.push("pose_slam");
+      if (text.includes("hand") || text.includes("body") || text.includes("mocap")) modalities.push("motion_capture");
+      if (text.includes("imu") || text.includes("inertial") || text.includes("gyroscope")) modalities.push("inertial");
+      if (text.includes("language") || text.includes("caption") || text.includes("text") || text.includes("interaction")) modalities.push("language");
+      return modalities.length ? Array.from(new Set(modalities)) : ["video", "motion_capture", "inertial"];
+    };
+    const synthesizeTaskCard = (task) => {
+      const modalities = modalitiesFromSuiteTask(task);
+      const family = familyFromSuiteTask(task);
+      return {
+        display_name: task.task_display_name || task.task_id || "Task",
+        research_name: `${task.suite_label || "Task"} · ${task.research_name || task.primary_direction || "Unified task contract"}`,
+        task_family: family,
+        architecture_family: task.architecture_family || task.family || "task head",
+        poster_modality: modalities[0] || "video",
+        modalities,
+        card_blurb: task.meaning || "A source-linked task contract in the unified 20-task suite.",
+        case_study: task.meaning || "This task is defined by the unified 20-task JSON contract.",
+        input_short: task.input_short || task.input || "20-frame multimodal window",
+        process_short: task.process || "shared window features -> task-specific head",
+        output_short: task.output_short || task.output || "task target",
+        middle_modules: [
+          task.process || "Build the task target from the shared window table.",
+          `Metric: ${task.metric_name || task.metric_key || "primary metric"}.`,
+          `Source: ${(task.artifact_sources && (task.artifact_sources.minimal_metrics || task.artifact_sources.walkthrough || task.artifact_sources.legacy_result_directory)) || "docs/data/task_suite_20.json"}.`
+        ],
+        metric: {
+          name: task.metric_name || task.metric_key || "metric",
+          direction: task.metric_direction || "higher",
+          minimal: task.minimal_primary_metric,
+          neural_mlp: task.neural_primary_metric
+        },
+        failure_mode: "single-episode chronological split; read the 180-record matrix for selected-128 method comparisons"
+      };
+    };
+    const mergeUnifiedTaskCards = (walkthroughPayload, suitePayload) => {
+      const walkthroughTasks = normalizeWalkthroughTasks(walkthroughPayload);
+      const walkthroughById = Object.fromEntries(
+        walkthroughTasks.map((task) => [task.task_id || task.artifact_id || task.display_name, task])
+      );
+      const suiteTasks = normalizeSuiteTasks(suitePayload);
+      return suiteTasks.map((task) => {
+        const rich = walkthroughById[task.task_id];
+        if (rich) {
+          return {
+            ...rich,
+            display_name: task.task_display_name || rich.display_name,
+            research_name: `${task.suite_label || ""} · ${rich.research_name || task.research_name || ""}`.replace(/^ · /, ""),
+            metric: {
+              ...(rich.metric || {}),
+              name: task.metric_name || rich.metric?.name,
+              direction: task.metric_direction || rich.metric?.direction,
+              minimal: task.minimal_primary_metric ?? rich.metric?.minimal,
+              neural_mlp: task.neural_primary_metric ?? rich.metric?.neural_mlp
+            }
+          };
+        }
+        return synthesizeTaskCard(task);
+      });
+    };
     const modalityLabels = (task) => (task.modalities || [])
       .map((key) => modalityMeta[key]?.label)
     async function initTaskSurface() {
       try {
+        const [walkthroughResponse, suiteResponse] = await Promise.all([
+          fetch("data/task_walkthroughs.json", { cache: "no-cache" }),
+          fetch("data/task_suite_20.json", { cache: "no-cache" })
+        ]);
+        if (!walkthroughResponse.ok) throw new Error(`walkthrough data ${walkthroughResponse.status}`);
+        if (!suiteResponse.ok) throw new Error(`suite data ${suiteResponse.status}`);
+        taskEntries = mergeUnifiedTaskCards(await walkthroughResponse.json(), await suiteResponse.json());
         renderTaskCards();
         renderSelector();
         setActiveTask(0);

results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md CHANGED Viewed

@@ -1,14 +1,13 @@
-# Tasks 13-20 Baselines
-These eight tasks are part of the unified 20-task public-sample suite. They reuse the same 20-frame windows, 5-frame stride, shared feature tensor, chronological split, and minimal/neural baseline discipline as tasks 1-12.
 The file and directory names still contain `tier2_task_suite` for backwards-compatible public links, but this is not a separate benchmark tier.
 ## Setup Alignment
-- Tasks 1-12: `12`
-- Tasks 13-20: `8`
 - Unified task contracts: `20`
 - Long-horizon offset: `100` frames, about `5.0` seconds at 20 FPS
 - Raw public-sample HDF5 is required to regenerate the interaction/object targets; raw media/HDF5 files are not redistributed.
@@ -27,4 +26,4 @@ The file and directory names still contain `tier2_task_suite` for backwards-comp
 ## Interpretation Boundary
-Tasks 13-20 are sample-level baselines in the same unified public-sample suite. They prove that the sample can support richer task contracts, but they do not prove cross-episode model quality.

+# Unified 20-Task Provenance Baselines
+This historical result bundle is part of the unified 20-task public-sample suite. The rows here reuse the same 20-frame windows, 5-frame stride, shared feature tensor, chronological split, and minimal/neural baseline discipline as the rest of the suite.
 The file and directory names still contain `tier2_task_suite` for backwards-compatible public links, but this is not a separate benchmark tier.
 ## Setup Alignment
 - Unified task contracts: `20`
+- Provenance rows in this historical bundle: `8`
 - Long-horizon offset: `100` frames, about `5.0` seconds at 20 FPS
 - Raw public-sample HDF5 is required to regenerate the interaction/object targets; raw media/HDF5 files are not redistributed.
 ## Interpretation Boundary
+These sample-level baselines are part of the same unified public-sample suite. They prove that the sample can support richer task contracts, but they do not prove cross-episode model quality.

results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json CHANGED Viewed

@@ -1,9 +1,9 @@
 {
-  "title": "Ropedia Xperience-10M Unified Tasks 13-20 Result Bundle",
   "status": "pass",
   "generated_at_utc": "2026-06-16T06:25:58+00:00",
   "suite_position": "tasks_13_to_20",
-  "legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; these tasks are part of the unified 20-task suite, not a separate public tier.",
   "integrated_with_tasks_1_to_12": {
     "tasks_1_to_12_count": 12,
     "additional_task_count": 8,

 {
+  "title": "Ropedia Xperience-10M Unified 20-Task Provenance Bundle",
   "status": "pass",
   "generated_at_utc": "2026-06-16T06:25:58+00:00",
   "suite_position": "tasks_13_to_20",
+  "legacy_path_note": "The tier2_task_suite file and directory names are retained for stable public links; this bundle is provenance inside the unified 20-task suite, not a separate public tier.",
   "integrated_with_tasks_1_to_12": {
     "tasks_1_to_12_count": 12,
     "additional_task_count": 8,

scripts/build_evaluation_protocol.py CHANGED Viewed

@@ -244,7 +244,7 @@ def build_payload() -> dict:
             "additional_public_sample_tasks": len(tier2_rows),
             "unified_results": "docs/data/task_suite_20.json" if TASK_SUITE_20_PATH.exists() else None,
             "legacy_additional_task_result_path": "docs/data/tier2_task_suite.json",
-            "legacy_path_note": "The tier2_task_suite path is retained for stable links only; tasks 13-20 are presented as part of the same 20-task suite.",
         },
         "split_policy": {
             "name": "single_episode_chronological",
@@ -386,11 +386,10 @@ def render_markdown(payload: dict) -> str:
         "",
         "## Unified 20-Task Contracts",
         "",
-        "Tasks 1-12 are the original public-sample task contracts. Tasks 13-20",
-        "are additional sample-supported contracts attached to the same 20-frame",
-        "window, feature, chronological split, leakage-control, and minimal/neural",
-        "baseline setup. Historical `tier2_task_suite` paths are retained only as",
-        "stable artifact locations for tasks 13-20.",
         "",
         *markdown_table(payload["task_protocols"]),
         "",

             "additional_public_sample_tasks": len(tier2_rows),
             "unified_results": "docs/data/task_suite_20.json" if TASK_SUITE_20_PATH.exists() else None,
             "legacy_additional_task_result_path": "docs/data/tier2_task_suite.json",
+            "legacy_path_note": "The tier2_task_suite path is retained for stable links only; it is provenance inside the same 20-task suite.",
         },
         "split_policy": {
             "name": "single_episode_chronological",
         "",
         "## Unified 20-Task Contracts",
         "",
+        "All 20 public-sample task contracts are presented together under the same",
+        "20-frame window, feature, chronological split, leakage-control, and",
+        "minimal/neural baseline setup. Historical `tier2_task_suite` paths are",
+        "retained only as stable provenance artifact locations inside the unified suite.",
         "",
         *markdown_table(payload["task_protocols"]),
         "",

scripts/build_figure_index.py CHANGED Viewed

@@ -196,9 +196,9 @@ FIGURES = [
     },
     {
         "id": "tier2_task_suite_chart",
-        "title": "Tasks 13-20 baseline chart",
         "path": "docs/assets/charts/tier2_task_suite.svg",
-        "role": "Eight additional sample-supported tasks in the unified 20-task suite with aligned minimal and neural baseline metrics.",
         "source_script": "scripts/tier2_task_suite.py",
         "surface": "website unified task section, README, HF mirrors",
     },

     },
     {
         "id": "tier2_task_suite_chart",
+        "title": "Unified 20-task provenance chart",
         "path": "docs/assets/charts/tier2_task_suite.svg",
+        "role": "Historical provenance rows inside the unified 20-task suite with aligned minimal and neural baseline metrics.",
         "source_script": "scripts/tier2_task_suite.py",
         "surface": "website unified task section, README, HF mirrors",
     },

scripts/render_task_suite_infographic.py CHANGED Viewed

@@ -1092,7 +1092,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     <div class="section-label">
       <span>20 task contracts</span>
-      <span>Every task below is part of the unified public-sample suite. Tasks 1-12 are the original contracts; tasks 13-20 use the same window/split discipline and are scored in the 180-result matrix.</span>
     </div>
     <section class="families">{''.join(families)}</section>

     <div class="section-label">
       <span>20 task contracts</span>
+      <span>Every task below is part of one unified public-sample suite with shared window/split discipline and source-linked scores in the 180-result matrix.</span>
     </div>
     <section class="families">{''.join(families)}</section>

scripts/sync_hf_publish_mirrors.py CHANGED Viewed

@@ -47,12 +47,13 @@ TIER2_CARD_BLOCK = """
 ## Unified 20-Task Suite
 The public-sample task surface is now one unified 20-task suite in
-`TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. Tasks 1-12 are the
-original sample tasks; Tasks 13-20 reuse the same 20-frame windows, 5-frame
-stride, feature manifest, chronological split, and minimal/neural head pattern.
 The historical `tier2_task_suite` path is retained only for stable artifact
-links to tasks 13-20. Results are organized as two evidence lines:
-one public sample episode for task construction and reproducibility, and
 128 selected episodes for same-split baselines plus Qwen3-Omni and Cosmos3
 comparison.
 The line map is published as `docs/assets/charts/two_evidence_line_map.svg`
@@ -221,13 +222,27 @@ def ensure_tier2_card_links(hf_root: Path, *, dry_run: bool) -> list[str]:
             continue
         text = path.read_text(encoding="utf-8")
         text = text.replace(
-            "original sample tasks; tasks 13-20 reuse",
-            "original sample tasks; Tasks 13-20 reuse",
         )
         if "docs/data/unified_task_model_radar.json" not in text:
             text = text.replace(
-                "links to tasks 13-20.\n",
-                "links to tasks 13-20. Results are organized as two evidence lines:\n"
                 "one public sample episode for task construction and reproducibility,\n"
                 "and 128 selected episodes for same-split metadata/raw baselines,\n"
                 "Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano\n"

 ## Unified 20-Task Suite
 The public-sample task surface is now one unified 20-task suite in
+`TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. All 20 task contracts
+reuse the same 20-frame windows, 5-frame stride, feature manifest,
+chronological split, and minimal/neural head pattern unless a task-specific
+leakage rule removes target-side features.
 The historical `tier2_task_suite` path is retained only for stable artifact
+links to provenance rows inside the unified suite. Results are organized as two
+evidence lines: one public sample episode for task construction and reproducibility, and
 128 selected episodes for same-split baselines plus Qwen3-Omni and Cosmos3
 comparison.
 The line map is published as `docs/assets/charts/two_evidence_line_map.svg`
             continue
         text = path.read_text(encoding="utf-8")
         text = text.replace(
+            "original sample tasks; tasks " + "13-20 reuse",
+            "all 20 task contracts reuse",
+        )
+        text = text.replace(
+            "original sample tasks; Tasks " + "13-20 reuse",
+            "all 20 task contracts reuse",
+        )
+        text = text.replace(
+            "links to tasks " + "13-20.",
+            "links to provenance rows inside the unified suite.",
+        )
+        text = text.replace(
+            "`TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. Tasks 1-12 are the\n"
+            "all 20 task contracts reuse the same 20-frame windows",
+            "`TASK_SUITE_20.md` and `docs/data/task_suite_20.json`. All 20 task contracts\n"
+            "reuse the same 20-frame windows",
         )
         if "docs/data/unified_task_model_radar.json" not in text:
             text = text.replace(
+                "links to provenance rows inside the unified suite.\n",
+                "links to provenance rows inside the unified suite. Results are organized as two evidence lines:\n"
                 "one public sample episode for task construction and reproducibility,\n"
                 "and 128 selected episodes for same-split metadata/raw baselines,\n"
                 "Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano\n"

scripts/verify_live_publication.py CHANGED Viewed

@@ -242,7 +242,7 @@ HASH_GROUPS = [
     },
     {
         "id": "tier2_task_suite_json",
-        "title": "Tasks 13-20 result JSON",
         "local_path": "docs/data/tier2_task_suite.json",
         "urls": {
             "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/tier2_task_suite.json",
@@ -253,7 +253,7 @@ HASH_GROUPS = [
     },
     {
         "id": "tier2_task_suite_chart",
-        "title": "Tasks 13-20 chart",
         "local_path": "docs/assets/charts/tier2_task_suite.svg",
         "urls": {
             "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/charts/tier2_task_suite.svg",
@@ -264,7 +264,7 @@ HASH_GROUPS = [
     },
     {
         "id": "tier2_result_summary",
-        "title": "Tasks 13-20 result summary",
         "local_path": "results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json",
         "urls": {
             "github_raw": "https://raw.githubusercontent.com/ChaoYue0307/ropedia-xperience-10m-task-suite/main/results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json",
@@ -275,7 +275,7 @@ HASH_GROUPS = [
     },
     {
         "id": "tier2_baseline_report",
-        "title": "Tasks 13-20 baseline report",
         "local_path": "results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md",
         "urls": {
             "github_raw": "https://raw.githubusercontent.com/ChaoYue0307/ropedia-xperience-10m-task-suite/main/results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md",
@@ -286,7 +286,7 @@ HASH_GROUPS = [
     },
     {
         "id": "tier2_minimal_model_npz",
-        "title": "Tasks 13-20 minimal model NPZ",
         "local_path": "results/episode_task_suite/tier2_task_suite/long_horizon_next_action/model.npz",
         "urls": {
             "github_raw": "https://raw.githubusercontent.com/ChaoYue0307/ropedia-xperience-10m-task-suite/main/results/episode_task_suite/tier2_task_suite/long_horizon_next_action/model.npz",
@@ -687,7 +687,7 @@ MARKER_CHECKS = [
             "Glossary",
             "data/glossary.json",
             "tier2_task_suite.json",
-            "Tasks 13-20",
             "Long-Horizon Next-Action Forecasting",
         ],
         "forbidden": [
@@ -730,7 +730,7 @@ MARKER_CHECKS = [
             "Public reader map",
             "data/public_reader_map.json",
             "tier2_task_suite.json",
-            "Tasks 13-20",
             "Long-Horizon Next-Action Forecasting",
         ],
         "forbidden": [
@@ -759,7 +759,7 @@ MARKER_CHECKS = [
             "docs/data/unified_task_model_radar.json",
             "docs/assets/charts/unified_task_model_radar.svg",
             "docs/data/tier2_task_suite.json",
-            "Tasks 13-20",
         ],
         "forbidden": ["xperience10m-" + "taskfirst-v10"],
     },
@@ -819,7 +819,7 @@ MARKER_CHECKS = [
             "docs/data/unified_task_model_radar.json",
             "docs/assets/charts/unified_task_model_radar.svg",
             "docs/data/tier2_task_suite.json",
-            "Tasks 13-20",
         ],
         "forbidden": ["xperience10m-" + "taskfirst-v10"],
     },

     },
     {
         "id": "tier2_task_suite_json",
+        "title": "Unified 20-task provenance JSON",
         "local_path": "docs/data/tier2_task_suite.json",
         "urls": {
             "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/tier2_task_suite.json",
     },
     {
         "id": "tier2_task_suite_chart",
+        "title": "Unified 20-task provenance chart",
         "local_path": "docs/assets/charts/tier2_task_suite.svg",
         "urls": {
             "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/charts/tier2_task_suite.svg",
     },
     {
         "id": "tier2_result_summary",
+        "title": "Unified 20-task provenance result summary",
         "local_path": "results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json",
         "urls": {
             "github_raw": "https://raw.githubusercontent.com/ChaoYue0307/ropedia-xperience-10m-task-suite/main/results/episode_task_suite/tier2_task_suite/tier2_task_suite_results.json",
     },
     {
         "id": "tier2_baseline_report",
+        "title": "Unified 20-task provenance baseline report",
         "local_path": "results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md",
         "urls": {
             "github_raw": "https://raw.githubusercontent.com/ChaoYue0307/ropedia-xperience-10m-task-suite/main/results/episode_task_suite/tier2_task_suite/TIER2_TASK_BASELINES.md",
     },
     {
         "id": "tier2_minimal_model_npz",
+        "title": "Unified 20-task provenance minimal model NPZ",
         "local_path": "results/episode_task_suite/tier2_task_suite/long_horizon_next_action/model.npz",
         "urls": {
             "github_raw": "https://raw.githubusercontent.com/ChaoYue0307/ropedia-xperience-10m-task-suite/main/results/episode_task_suite/tier2_task_suite/long_horizon_next_action/model.npz",
             "Glossary",
             "data/glossary.json",
             "tier2_task_suite.json",
+            "Unified task artifact package",
             "Long-Horizon Next-Action Forecasting",
         ],
         "forbidden": [
             "Public reader map",
             "data/public_reader_map.json",
             "tier2_task_suite.json",
+            "Unified task artifact package",
             "Long-Horizon Next-Action Forecasting",
         ],
         "forbidden": [
             "docs/data/unified_task_model_radar.json",
             "docs/assets/charts/unified_task_model_radar.svg",
             "docs/data/tier2_task_suite.json",
+            "Unified 20-Task Suite",
         ],
         "forbidden": ["xperience10m-" + "taskfirst-v10"],
     },
             "docs/data/unified_task_model_radar.json",
             "docs/assets/charts/unified_task_model_radar.svg",
             "docs/data/tier2_task_suite.json",
+            "Unified 20-Task Suite",
         ],
         "forbidden": ["xperience10m-" + "taskfirst-v10"],
     },