Publish Ropedia Xperience-10M derived artifacts

ARTIFACT_GUIDE.md

@@ -8,8 +8,9 @@ The project separates these reading layers:
 
 1. **Project status:** one compact table for first-pass current-state
    decisions.
-2. **Project scope:** what is implemented now, what is setup-stage, and what
-   remains gated by multi-episode data access.
+2. **Project scope and roadmap:** what is implemented now, what is setup-stage,
+   what remains gated by multi-episode data access, and how the staged research
+   path progresses.
 3. **Official source alignment:** what the upstream Xperience-10M dataset card,
    public sample card, and HF API metadata say, and which parts this repo
    currently covers.
@@ -33,9 +34,10 @@ The project separates these reading layers:
 | Artifact | Why to open it first |
 | --- | --- |
 | [`PROJECT_STATUS.md`](PROJECT_STATUS.md) | Gives the fastest current-state table: implemented, data-gated, and outside current scope. |
+| [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md) | Shows the staged path from public-sample task development to multi-episode data staging, the 32-episode Qwen3-Omni LoRA pilot, robustness runs, and larger omni-model extensions. |
 | [`EVIDENCE_CONTRACT.md`](EVIDENCE_CONTRACT.md) | Defines the implemented scope, setup-stage artifacts, and multi-episode prerequisites. |
 | [`QUALITY_GATES.md`](QUALITY_GATES.md) | Lists the automated release checks and post-publish verification used to keep the release current. |
-| [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Describes whether repo, website, and Hugging Face cards read as one coherent research project surface. |
+| [`PUBLIC_SURFACE_QA.md`](PUBLIC_SURFACE_QA.md) | Describes whether repo, website, and Hugging Face cards read as one cohesive research project surface. |
 | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Defines the task unit, chronological split, metrics, leakage controls, and current limitations. |
 | [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md) | Aligns this repo's public dataset wording with the official gated Xperience-10M card, sample card, and HF API metadata. |
 | [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md) | Summarizes official dataset facts, sample-card facts, API-listing notes, and project coverage across repo, website, and HF cards. |
@@ -45,6 +47,7 @@ The project separates these reading layers:
 | [`docs/data/artifact_index.json`](docs/data/artifact_index.json) | Lists project-critical files with existence, size, and stable hashes. |
 | [`docs/data/figure_index.json`](docs/data/figure_index.json) | Machine-readable visual asset index for website and HF mirrors. |
 | [`docs/data/project_status.json`](docs/data/project_status.json) | Machine-readable copy of the project status table. |
+| [`docs/data/research_roadmap.json`](docs/data/research_roadmap.json) | Machine-readable roadmap for website and Hugging Face mirrors. |
 | [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json) | Machine-readable source-alignment summary, including gated metadata, sample license/tooling, and current project coverage. |
 | [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json) | Machine-readable source metadata and HF card parity report. |
 | [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json) | Machine-readable evaluation protocol generated from committed metrics. |
@@ -60,7 +63,7 @@ The project separates these reading layers:
 
 ## Official Source Alignment
 
-| Artifact | What it proves |
+| Artifact | What it shows |
 | --- | --- |
 | [`XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`](XPERIENCE10M_DATASET_CARD_ALIGNMENT.md) | Human-readable summary of the official gated Xperience-10M dataset card, public sample card, API listing snapshot, scale, modalities, access terms, intended uses, and limitations. |
 | [`docs/data/xperience10m_dataset_card_alignment.json`](docs/data/xperience10m_dataset_card_alignment.json) | Machine-readable copy of the same alignment facts for website and HF mirrors. |
@@ -70,7 +73,7 @@ The project separates these reading layers:
 
 ## Evaluation Protocol
 
-| Artifact | What it proves |
+| Artifact | What it shows |
 | --- | --- |
 | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md) | Human-readable task protocol: window unit, chronological split, input/target contracts, primary metrics, leakage controls, and current limitations. |
 | [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json) | Machine-readable protocol generated from committed task metrics. |
@@ -78,7 +81,7 @@ The project separates these reading layers:
 
 ## Visual Evidence
 
-| Artifact | What it proves |
+| Artifact | What it shows |
 | --- | --- |
 | [`FIGURE_INDEX.md`](FIGURE_INDEX.md) | Human-readable catalog of public visual assets, dimensions, hashes, roles, and source scripts. |
 | [`docs/data/figure_index.json`](docs/data/figure_index.json) | Machine-readable visual asset index mirrored to the website, artifact dataset, and model repo. |
@@ -92,7 +95,7 @@ The project separates these reading layers:
 
 ## Data Contract
 
-| Artifact | What it proves |
+| Artifact | What it shows |
 | --- | --- |
 | [`results/episode_task_suite/windows.csv`](results/episode_task_suite/windows.csv) | The sample episode is converted into 1,161 aligned 20-frame windows. |
 | [`results/episode_task_suite/feature_manifest.json`](results/episode_task_suite/feature_manifest.json) | The current input vector has 8,378 dimensions with explicit feature-block boundaries. |
@@ -102,7 +105,7 @@ The project separates these reading layers:
 
 ## Task Evidence
 
-| Artifact | What it proves |
+| Artifact | What it shows |
 | --- | --- |
 | [`results/episode_task_suite/summary_report.json`](results/episode_task_suite/summary_report.json) | The 12 task contracts, chronological split, and minimal/neural metrics. |
 | [`results/episode_task_suite/neural_mlp/`](results/episode_task_suite/neural_mlp/) | Matching PyTorch MLP heads for the same task contracts and feature windows. |
@@ -113,7 +116,7 @@ The project separates these reading layers:
 
 ## Reproducibility
 
-| Artifact | What it proves |
+| Artifact | What it shows |
 | --- | --- |
 | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md) | Public commands, expected outputs, and non-reproducible boundaries are explicit. |
 | [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json) | Machine-readable command matrix for website and HF mirrors. |
@@ -140,7 +143,7 @@ The project separates these reading layers:
 | Artifact | Current status |
 | --- | --- |
 | [`results/omni_finetune/DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md) | Summarizes the data-access requirement before the 32-episode Qwen3-Omni pilot can run. |
-| [`results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md) | Documents the public multi-episode access path and selected 32-episode pilot plan without private infrastructure details. |
+| [`results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md) | Documents the public multi-episode access path, selected 32-episode pilot plan, and data requirements. |
 | [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | Discovery gate for valid multi-episode Xperience-10M sources. |
 | [`scripts/omni/train_qwen3_omni_lora.py`](scripts/omni/train_qwen3_omni_lora.py) | Training entrypoint for the Qwen3-Omni LoRA pilot after the data gate passes. |
 

EVIDENCE_CONTRACT.md

@@ -7,6 +7,7 @@ the dashboard as a basis for further work.
 | Project statement | Current evidence | Status | Current scope |
 | --- | --- | --- | --- |
 | A first-pass reader has a compact current-state summary. | `PROJECT_STATUS.md`, `docs/data/project_status.json` | Verified guide | Summarizes existing evidence and current limitations |
+| The staged research path is explicit. | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | Current roadmap | Connects public-sample task development to multi-episode staging, Qwen3-Omni LoRA, robustness runs, and larger omni-model extensions |
 | The public dataset description is aligned with the official gated Xperience-10M dataset card and public sample card. | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Verified description alignment | Summarizes upstream public metadata, API listing facts, sample license/tooling, and card facts; does not grant access or mirror raw data |
 | Source facts, sample details, API-listing notes, and project coverage are aligned across repo, website, and HF cards. | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source alignment recorded | Offline committed-fact report; does not fetch private gated data |
 | Public figures are indexed as project evidence. | `FIGURE_INDEX.md`, `docs/data/figure_index.json`, `scripts/build_figure_index.py` | Verified visual evidence | Derived figures and thumbnails only; does not include raw MP4/HDF5/RRD data |
@@ -38,44 +39,46 @@ the dashboard as a basis for further work.
 
 1. Read `PROJECT_STATUS.md` and `docs/data/project_status.json` for
    the fastest current-state decision table.
-2. Read `docs/data/project_packet.json` for the shortest project path and
+2. Read `RESEARCH_ROADMAP.md` and `docs/data/research_roadmap.json` for the
+   staged path from public-sample development to multi-episode modeling.
+3. Read `docs/data/project_packet.json` for the shortest project path and
    current scope.
-3. Read `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and
+4. Read `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and
    `docs/data/xperience10m_dataset_card_alignment.json` to check the official
    dataset-card wording and how the current repo is scoped against it.
-4. Read `SOURCE_ALIGNMENT_AUDIT.md` and
+5. Read `SOURCE_ALIGNMENT_AUDIT.md` and
    `docs/data/source_alignment_audit.json` to inspect the same source facts
    present across repo, website, and HF cards.
-5. Read `FIGURE_INDEX.md`, `docs/data/figure_index.json`, and
+6. Read `FIGURE_INDEX.md`, `docs/data/figure_index.json`, and
    `docs/data/brand_assets.json` to inspect public figures, charts, modality
    thumbnails, logo assets, dimensions, hashes, and source scripts.
-6. Read `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` to
+7. Read `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` to
    check windowing, split policy, per-task metrics, leakage controls, and
    current limitations.
-7. Read `ARTIFACT_GUIDE.md` and `docs/data/artifact_index.json` to see grouped
+8. Read `ARTIFACT_GUIDE.md` and `docs/data/artifact_index.json` to see grouped
    project artifacts, indexed supporting artifacts,
    sizes, and stable-file hashes.
-8. Read `docs/assets/task_suite_infographic.png` and
+9. Read `docs/assets/task_suite_infographic.png` and
    `docs/data/modality_atlas.json` for the high-level map and modality atlas.
-9. Read `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json` before
+10. Read `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json` before
    rerunning the public pipeline.
-10. Inspect `results/episode_task_suite/summary_report.json` for the task and
+11. Inspect `results/episode_task_suite/summary_report.json` for the task and
    metric source of truth.
-11. Inspect `results/episode_task_suite/feature_manifest.json` to see which
+12. Inspect `results/episode_task_suite/feature_manifest.json` to see which
    modalities enter the current feature vector.
-12. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
+13. Inspect `results/episode_task_suite/neural_mlp/` to compare minimal and
    neural heads under the same splits.
-13. Inspect `docs/data/scope_claims_audit.json` before interpreting historical
+14. Inspect `docs/data/scope_claims_audit.json` before interpreting historical
    `32ep` strings in Qwen3-Omni setup artifacts.
-14. Inspect `docs/data/mirror_parity.json` before assuming the GitHub and
+15. Inspect `docs/data/mirror_parity.json` before assuming the GitHub and
    Hugging Face mirrors contain the same critical data, visual, HTML, and
    validator files.
-15. Inspect `results/omni_finetune/DATA_ACCESS_STATUS.md` and
+16. Inspect `results/omni_finetune/DATA_ACCESS_STATUS.md` and
    `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md` before interpreting
    any Qwen3-Omni artifact.
-16. Inspect `QUALITY_GATES.md`, `docs/data/quality_gates.json`,
+17. Inspect `QUALITY_GATES.md`, `docs/data/quality_gates.json`,
    `PUBLIC_SURFACE_QA.md`, `docs/data/public_surface_qa.json`,
    `docs/data/publication_audit.json`, and `docs/data/website_integrity.json`
    before sharing a new public release.
-17. Inspect `CITATION.cff`, `codemeta.json`, and `LICENSE` before reusing or
+18. Inspect `CITATION.cff`, `codemeta.json`, and `LICENSE` before reusing or
    citing the project.

PROJECT_BRIEF.md

@@ -19,10 +19,12 @@ egocentric episode before scaling to held-out multi-episode training?
 ## How To Read It
 
 1. Start with the website or this brief to understand the project shape.
-2. Open `EVALUATION_PROTOCOL.md` before comparing task scores.
-3. Use `RESEARCH_TAKEAWAYS.md` for the current metric interpretation.
-4. Inspect `results/episode_task_suite/feature_manifest.json` to understand one model input.
-5. Use `results/omni_finetune/DATA_ACCESS_STATUS.md` for the multi-episode data status.
+2. Open `RESEARCH_ROADMAP.md` to see how the work scales from the public
+   sample to multi-episode modeling.
+3. Open `EVALUATION_PROTOCOL.md` before comparing task scores.
+4. Use `RESEARCH_TAKEAWAYS.md` for the current metric interpretation.
+5. Inspect `results/episode_task_suite/feature_manifest.json` to understand one model input.
+6. Use `results/omni_finetune/DATA_ACCESS_STATUS.md` for the multi-episode data status.
 
 ## What This Enables
 

PROJECT_README.md

@@ -90,6 +90,7 @@ multi-episode held-out model metrics:
 | Feature contract | `results/episode_task_suite/feature_manifest.json`, `available_modalities.json` | 8,378 current features; audio documented but not featurized |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | defines windowing, chronological split, leakage controls, per-task metrics, and current limitations |
 | Research takeaways | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | summarizes result interpretation from committed metrics and identifies which experiments need held-out episodes |
+| Research roadmap | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | stages the path from public-sample task development to multi-episode held-out evaluation and larger omni-model extensions |
 | 12-task suite | `scripts/episode_task_suite.py`, per-task `metrics.json`, predictions | chronological single-episode split |
 | Neural heads | `scripts/neural_task_models.py`, `results/episode_task_suite/neural_mlp/` | compact MLP heads, not a foundation model |
 | Research directions | `research_direction_taxonomy.json`, extension probe results | direct/proxy/diagnostic evidence, not full solutions |
@@ -130,6 +131,9 @@ The generated evaluation protocol is at
 The generated research takeaways are at
 [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md) and
 [`docs/data/research_takeaways.json`](docs/data/research_takeaways.json).
+The staged research roadmap is at
+[`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md) and
+[`docs/data/research_roadmap.json`](docs/data/research_roadmap.json).
 The source-of-truth artifact index is at
 [`docs/data/artifact_index.json`](docs/data/artifact_index.json).
 For a human-readable artifact map, use
@@ -185,11 +189,12 @@ If you are reading the project cold, open these in order:
 | 3 | Are source facts consistently presented? | [`SOURCE_ALIGNMENT_AUDIT.md`](SOURCE_ALIGNMENT_AUDIT.md), [`docs/data/source_alignment_audit.json`](docs/data/source_alignment_audit.json), [`scripts/validate_source_alignment.py`](scripts/validate_source_alignment.py) | Repo, website, and HF cards use the same full-dataset facts, sample-card facts, API-listing notes, and project coverage. |
 | 4 | How exactly are tasks evaluated? | [`EVALUATION_PROTOCOL.md`](EVALUATION_PROTOCOL.md), [`docs/data/evaluation_protocol.json`](docs/data/evaluation_protocol.json), [`scripts/build_evaluation_protocol.py`](scripts/build_evaluation_protocol.py) | The window unit, chronological split, leakage controls, task metrics, and current limitations are explicit. |
 | 5 | What do the current results mean? | [`RESEARCH_TAKEAWAYS.md`](RESEARCH_TAKEAWAYS.md), [`docs/data/research_takeaways.json`](docs/data/research_takeaways.json), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | The takeaways are generated from committed metrics and identify which signals are ready for larger held-out experiments. |
-| 6 | How do I reproduce it? | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md), [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json), [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | Public commands, expected outputs, and the latest exact-match reproduction record are explicit. |
-| 7 | What is one model input? | [`windows.csv`](results/episode_task_suite/windows.csv), [`feature_manifest.json`](results/episode_task_suite/feature_manifest.json), [`available_modalities.json`](results/episode_task_suite/available_modalities.json) | The input is an aligned 8,378-d window vector with explicit feature-block boundaries. |
-| 8 | Are the task results backed by files? | [`summary_report.json`](results/episode_task_suite/summary_report.json), [`neural_mlp/`](results/episode_task_suite/neural_mlp/), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | Each task has minimal and neural-head evidence over the same window contracts. |
-| 9 | Is the website internally coherent? | [`docs/data/website_integrity.json`](docs/data/website_integrity.json), [`scripts/validate_website_integrity.py`](scripts/validate_website_integrity.py) | Local links, anchors, tab routing, JSON data, and referenced images are checked before publishing. |
-| 10 | What is still pending? | [`DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md), [`MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The 32-episode Qwen3-Omni run is prepared; final model metrics require gated data and held-out evaluation. |
+| 6 | What is the staged roadmap? | [`RESEARCH_ROADMAP.md`](RESEARCH_ROADMAP.md), [`docs/data/research_roadmap.json`](docs/data/research_roadmap.json), [`DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md) | The roadmap connects public-sample task development to multi-episode staging, Qwen3-Omni LoRA, robustness runs, and larger omni-model extensions. |
+| 7 | How do I reproduce it? | [`REPRODUCIBILITY.md`](REPRODUCIBILITY.md), [`docs/data/reproducibility_matrix.json`](docs/data/reproducibility_matrix.json), [`notes/reproducibility_audit.md`](notes/reproducibility_audit.md) | Public commands, expected outputs, and the latest exact-match reproduction record are explicit. |
+| 8 | What is one model input? | [`windows.csv`](results/episode_task_suite/windows.csv), [`feature_manifest.json`](results/episode_task_suite/feature_manifest.json), [`available_modalities.json`](results/episode_task_suite/available_modalities.json) | The input is an aligned 8,378-d window vector with explicit feature-block boundaries. |
+| 9 | Are the task results backed by files? | [`summary_report.json`](results/episode_task_suite/summary_report.json), [`neural_mlp/`](results/episode_task_suite/neural_mlp/), [`docs/data/summary_metrics.json`](docs/data/summary_metrics.json) | Each task has minimal and neural-head evidence over the same window contracts. |
+| 10 | Is the website self-consistent? | [`docs/data/website_integrity.json`](docs/data/website_integrity.json), [`scripts/validate_website_integrity.py`](scripts/validate_website_integrity.py) | Local links, anchors, tab routing, JSON data, and referenced images are checked before publishing. |
+| 11 | What is still pending? | [`DATA_ACCESS_STATUS.md`](results/omni_finetune/DATA_ACCESS_STATUS.md), [`MULTI_EPISODE_ACCESS_STATUS.md`](results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md), [`scripts/omni/discover_xperience10m_sources.py`](scripts/omni/discover_xperience10m_sources.py) | The 32-episode Qwen3-Omni run is prepared; final model metrics require gated data and held-out evaluation. |
 
 The machine-readable project packet is
 [`docs/data/project_packet.json`](docs/data/project_packet.json).
@@ -296,6 +301,7 @@ Hugging Face Space app:
 | Brand assets | `docs/data/brand_assets.json`, `docs/assets/brand/` | Indexes the generated logo, favicon, README/HF card image, app icon, and social preview |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | Defines the task unit, split, metrics, leakage controls, and current limitations |
 | Task surface integrity | `docs/data/task_surface_integrity.json` | Checks the public task cards, readable task names, representative modality thumbnails, and interactive walkthrough storyboard |
+| Research roadmap | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | Shows the staged path from sample-level task development to multi-episode and larger omni-model work |
 | Minimal heads | softmax, ridge projection/regression, multi-label logistic heads | Keeps every input/output contract visible and debuggable |
 | Neural heads | PyTorch MLP classifiers/regressors under `neural_mlp/` | Checks whether nonlinear heads improve each task without changing features |
 | Evidence | metrics, predictions, confusion matrices, diagrams, dashboard | Makes the single-episode task development inspectable without rerunning first |
@@ -422,6 +428,7 @@ docs/
   data/website_integrity.json       # machine-readable website integrity check
   data/project_manifest.json        # machine-readable public-surface metadata
   data/project_packet.json          # machine-readable project path and scope summary
+  data/research_roadmap.json        # staged 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/task_walkthroughs.json       # human-readable task-card and walkthrough-storyboard data

PROJECT_STATUS.md

@@ -11,6 +11,7 @@ the next development step.
 | Task suite | Verified | `scripts/episode_task_suite.py`, `results/episode_task_suite/`, `docs/data/summary_metrics.json` | All 12 task contracts have committed metrics, predictions, and minimal baseline outputs. |
 | 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. |
 | Research takeaways | Verified | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `scripts/build_research_takeaways.py` | The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes. |
+| Research roadmap | Current | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | The staged path connects public-sample task development to multi-episode data staging, the 32-episode Qwen3-Omni LoRA pilot, robustness runs, and larger omni-model extensions. |
 | Evaluation protocol | Verified | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json`, `scripts/build_evaluation_protocol.py` | Windowing, chronological split, per-task metrics, leakage controls, and current limitations are generated from committed metric artifacts. |
 | Official dataset wording | Verified | `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md`, `docs/data/xperience10m_dataset_card_alignment.json` | Public wording is aligned to the official gated Xperience-10M dataset card, public sample card, and HF API metadata, including modalities, scale, access path, sample license/tooling, and current project coverage. |
 | Source alignment | Verified | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` | Source facts, sample details, API-listing notes, and project coverage are checked across repo docs, website, and HF cards. |
@@ -27,14 +28,16 @@ the next development step.
 2. Open `docs/data/project_packet.json` for the machine-readable project path.
 3. Inspect `RESEARCH_TAKEAWAYS.md` and
    `docs/data/research_takeaways.json` for the generated result interpretation.
-4. Inspect `docs/data/summary_metrics.json` and
+4. Inspect `RESEARCH_ROADMAP.md` and `docs/data/research_roadmap.json` for
+   the staged path from public-sample task work to multi-episode modeling.
+5. Inspect `docs/data/summary_metrics.json` and
    `results/episode_task_suite/neural_mlp/` to check the 12-task outputs.
-5. Inspect `EVALUATION_PROTOCOL.md` before judging task metrics or leakage
+6. Inspect `EVALUATION_PROTOCOL.md` before judging task metrics or leakage
    controls.
-6. Inspect `SOURCE_ALIGNMENT_AUDIT.md` and
+7. Inspect `SOURCE_ALIGNMENT_AUDIT.md` and
    `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` before judging dataset
    wording.
-7. Inspect `results/omni_finetune/DATA_ACCESS_STATUS.md` before judging
+8. Inspect `results/omni_finetune/DATA_ACCESS_STATUS.md` before judging
    Qwen3-Omni scale-up status.
 
 ## Current Reading Notes

PUBLIC_SURFACE_QA.md

@@ -1,6 +1,6 @@
 # Public Project Surface
 
-This generated report checks whether the public repo, website, and Hugging Face cards read like one coherent research project.
+This generated report checks whether the public repo, website, and Hugging Face cards read like one cohesive research project.
 
 Current status: **pass**
 

README.md

@@ -35,7 +35,7 @@ metadata, and compact neural task-head artifacts.
 ![12-task infographic](assets/task_suite_infographic.png?v=xperience10m-taskfirst-v13-modality-xl)
 
 The logo, figures, cards, and website assets are packaged together so the
-artifact repo reads as a coherent Xperience-10M multimodal task suite. Labels,
+artifact repo reads as a cohesive Xperience-10M multimodal task suite. Labels,
 dimensions, and metrics are generated from committed result files rather than
 hand-edited presentation copy.
 
@@ -81,6 +81,10 @@ excluded raw data.
 front-door view: what exists now, what the public sample can support, and what
 must happen before the 32-episode omni-model stage becomes a held-out
 evaluation.
+`RESEARCH_ROADMAP.md` and `docs/data/research_roadmap.json` show the staged
+path from public-sample task development to multi-episode data staging, the
+32-episode Qwen3-Omni LoRA pilot, robustness runs, and larger omni-model
+extensions.
 `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json` define the
 window unit, chronological split, leakage controls, per-task metrics, and
 current limitations before a reader compares scores.
@@ -114,16 +118,18 @@ This is the explorable artifact half of the project. You can inspect the task ou
 | --- | --- | --- |
 | 1 | What is the project in one page? | `PROJECT_BRIEF.md`, `docs/data/project_brief.json` |
 | 2 | What has been implemented? | `PROJECT_STATUS.md`, `docs/data/project_status.json`, `EVIDENCE_CONTRACT.md`, `ARTIFACT_GUIDE.md`, `QUALITY_GATES.md`, `PUBLIC_SURFACE_QA.md`, `FIGURE_INDEX.md`, `docs/data/evidence_contract.json`, `docs/data/artifact_index.json`, `docs/data/figure_index.json`, `docs/data/live_publication_status.json`, `docs/data/quality_gates.json`, `docs/data/mirror_parity.json`, `docs/data/public_surface_qa.json`, `docs/data/scope_claims_audit.json`, `docs/data/publication_audit.json`, `docs/data/task_surface_integrity.json`, `docs/data/website_integrity.json` |
-| 3 | Are source facts consistently presented? | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` |
-| 4 | What do the current results mean? | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `docs/data/summary_metrics.json` |
-| 5 | How do I reproduce it? | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` |
-| 6 | What is one model input? | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` |
-| 7 | Are the task results backed by files? | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/neural_mlp/`, `docs/data/summary_metrics.json` |
-| 8 | What is still pending? | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `scripts/omni/discover_xperience10m_sources.py` |
+| 3 | What is the staged roadmap? | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` |
+| 4 | Are source facts consistently presented? | `SOURCE_ALIGNMENT_AUDIT.md`, `docs/data/source_alignment_audit.json`, `scripts/validate_source_alignment.py` |
+| 5 | What do the current results mean? | `RESEARCH_TAKEAWAYS.md`, `docs/data/research_takeaways.json`, `docs/data/summary_metrics.json` |
+| 6 | How do I reproduce it? | `REPRODUCIBILITY.md`, `docs/data/reproducibility_matrix.json`, `notes/reproducibility_audit.md` |
+| 7 | What is one model input? | `results/episode_task_suite/windows.csv`, `results/episode_task_suite/feature_manifest.json`, `results/episode_task_suite/available_modalities.json` |
+| 8 | Are the task results backed by files? | `results/episode_task_suite/summary_report.json`, `results/episode_task_suite/neural_mlp/`, `docs/data/summary_metrics.json` |
+| 9 | What is still pending? | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `scripts/omni/discover_xperience10m_sources.py` |
 
 Human-readable artifact guide: `ARTIFACT_GUIDE.md`.
 Project brief: `PROJECT_BRIEF.md` and `docs/data/project_brief.json`.
 Project status: `PROJECT_STATUS.md` and `docs/data/project_status.json`.
+Research roadmap: `RESEARCH_ROADMAP.md` and `docs/data/research_roadmap.json`.
 Research Takeaways: `RESEARCH_TAKEAWAYS.md` and `docs/data/research_takeaways.json`.
 Multi-episode data status: `results/omni_finetune/DATA_ACCESS_STATUS.md`.
 Official dataset-card alignment: `XPERIENCE10M_DATASET_CARD_ALIGNMENT.md` and `docs/data/xperience10m_dataset_card_alignment.json`.
@@ -141,6 +147,7 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 | Project layer | Evidence | Current scope |
 | --- | --- | --- |
 | Project status | `PROJECT_STATUS.md`, `docs/data/project_status.json` | compact current-state table |
+| Research roadmap | `RESEARCH_ROADMAP.md`, `docs/data/research_roadmap.json` | staged path from public-sample task development to multi-episode and larger omni-model work |
 | Data windows | `results/episode_task_suite/windows.csv`, `shared_windows.npz`, `summary_report.json` | one public sample episode |
 | Feature contract | `results/episode_task_suite/feature_manifest.json`, `available_modalities.json` | 8,378 current features; audio documented but not featurized |
 | Evaluation protocol | `EVALUATION_PROTOCOL.md`, `docs/data/evaluation_protocol.json` | windowing, chronological split, leakage controls, and task metrics |
@@ -168,6 +175,7 @@ Source-of-truth brand asset index: `docs/data/brand_assets.json`.
 
 - `ARTIFACT_GUIDE.md`: human-readable map of project scope, data contract, task evidence, platform mirrors, and scale-up status
 - `PROJECT_STATUS.md` and `docs/data/project_status.json`: compact current-state decision table
+- `RESEARCH_ROADMAP.md` and `docs/data/research_roadmap.json`: staged multi-episode and omni-model roadmap
 - `REPRODUCIBILITY.md` and `docs/data/reproducibility_matrix.json`: public commands, expected outputs, exact-match reproduction evidence, and current scale-up requirements
 - `EVALUATION_PROTOCOL.md` and `docs/data/evaluation_protocol.json`: generated task protocol, split policy, leakage controls, and current limitations
 - `RESEARCH_TAKEAWAYS.md` and `docs/data/research_takeaways.json`: generated metric interpretation and scale-up readout

RESEARCH_ROADMAP.md

@@ -0,0 +1,99 @@
+# Research Roadmap
+
+This roadmap connects the current public-sample task lab to the next
+multi-episode Xperience-10M experiments. Each stage lists the entry condition,
+the deliverables, and the evidence that should exist before the stage is treated
+as complete.
+
+## Roadmap Summary
+
+| Stage | Status | Entry condition | Research deliverables | Completion evidence |
+| --- | --- | --- | --- | --- |
+| Public-Sample Task Lab | Implemented | One public Xperience-10M sample episode is available. | 1,161 aligned windows, 12 task contracts, minimal heads, neural MLP heads, modality atlas, task walkthroughs, and derived figures. | `PROJECT_STATUS.md`, `EVALUATION_PROTOCOL.md`, `RESEARCH_TAKEAWAYS.md`, `docs/data/summary_metrics.json`, `results/episode_task_suite/summary_report.json` |
+| Multi-Episode Data Staging | Active | Gated dataset access and enough storage for selected episodes. | 32 valid episodes, episode manifest, missing-view manifest, held-out episode split, and source-discovery report. | `results/omni_finetune/DATA_ACCESS_STATUS.md`, `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`, `results/omni_finetune/source_discovery.json` |
+| 32-Episode Qwen3-Omni LoRA Pilot | Next | At least 32 valid episodes staged locally with no train/test episode leakage. | Dataset JSONL/media manifests, LoRA adapter checkpoint, progress logs, held-out predictions, metrics, confusion matrices, and run report. | `dataset_manifest.json`, `training_metadata.json`, `progress.jsonl`, `metrics.json`, `predictions.jsonl`, `RUN_REPORT.md` |
+| 64-128 Episode Robustness Run | Planned | The 32-episode pilot trains and evaluates cleanly. | Split-by-session metrics, modality ablations, calibration/object/language error analysis, and sensitivity to missing views. | Held-out metrics by session, task, and modality; ablation tables; qualitative error analysis. |
+| Foundation and World-Model Extensions | Planned | Enough multi-episode data and compute budget for larger multimodal objectives. | Audio encoder integration, depth/image reconstruction, SLAM/world modeling probes, policy-style next-action tasks, and affordance/object interaction tasks. | Task-specific held-out evaluations, qualitative inspection, and updated model cards. |
+
+## Current Decision Point
+
+The useful next decision is data scale: keep the public-sample task suite as the
+development harness, then stage enough official Xperience-10M episodes to run
+the 32-episode held-out pilot. The public sample is already enough for task
+design, feature contracts, walkthroughs, and baseline comparisons. It is not
+enough to measure general embodied-AI model quality.
+
+## Stage Details
+
+### 1. Public-Sample Task Lab
+
+This stage turns one synchronized egocentric episode into a clean research
+surface. It defines what one model input is, what each task predicts, how the
+split is constructed, and how minimal and neural heads are compared.
+
+Evidence to inspect:
+
+- `results/episode_task_suite/windows.csv`
+- `results/episode_task_suite/feature_manifest.json`
+- `results/episode_task_suite/summary_report.json`
+- `results/episode_task_suite/neural_mlp/`
+- `docs/data/task_walkthroughs.json`
+
+### 2. Multi-Episode Data Staging
+
+This stage expands the same data contract to official gated episodes. The key
+research requirement is episode-level separation: training and test examples
+must come from different episodes, not different windows inside the same
+episode.
+
+Evidence to inspect:
+
+- `results/omni_finetune/DATA_ACCESS_STATUS.md`
+- `results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md`
+- `scripts/omni/discover_xperience10m_sources.py`
+- `results/omni_finetune/source_discovery.json`
+
+### 3. 32-Episode Qwen3-Omni LoRA Pilot
+
+This stage uses Qwen3-Omni as the multimodal backbone and trains lightweight
+LoRA adapters. The first target is not maximum leaderboard performance; it is a
+complete held-out-episode training and evaluation loop with inspectable
+manifests, predictions, and metrics.
+
+Expected outputs:
+
+- `dataset_manifest.json`
+- `episode_manifest.json`
+- `training_metadata.json`
+- `progress.jsonl`
+- `metrics.json`
+- `predictions.jsonl`
+- `predictions.csv`
+- `confusion_matrix.csv`
+- `RUN_REPORT.md`
+
+### 4. 64-128 Episode Robustness Run
+
+This stage asks whether the 32-episode conclusions survive more sessions,
+different objects, missing views, and stronger modality ablations. It should
+report performance by task, session, modality, and failure type.
+
+### 5. Foundation and World-Model Extensions
+
+This stage moves beyond lightweight heads and LoRA pilots into richer multimodal
+objectives: audio-visible alignment, depth/image reconstruction, dynamic scene
+state, SLAM/world modeling, policy-style next action, contact, object relevance,
+and affordance reasoning.
+
+## Public Artifacts That Should Move Together
+
+When a roadmap stage advances, update these public surfaces together:
+
+- `README.md`
+- `PROJECT_STATUS.md`
+- `RESEARCH_TAKEAWAYS.md`
+- `EVALUATION_PROTOCOL.md`
+- `ARTIFACT_GUIDE.md`
+- `docs/index.html`
+- `docs/data/research_roadmap.json`
+- Hugging Face Space, artifact dataset, and model cards

docs/data/artifact_index.json

@@ -1,11 +1,11 @@
 {
   "title": "Ropedia Xperience-10M Task Suite Artifact Index",
-  "generated_at_utc": "2026-06-02T16:12:38+00:00",
+  "generated_at_utc": "2026-06-02T17:36:06+00:00",
   "status": "pass",
-  "artifact_count": 60,
+  "artifact_count": 62,
   "missing": [],
   "by_kind": {
-    "project_path": 7,
+    "project_path": 9,
     "project_scope": 1,
     "source_alignment": 5,
     "publication_workflow": 1,
@@ -38,10 +38,10 @@
       "path": "PROJECT_BRIEF.md",
       "kind": "project_path",
       "surface": "repo_hf",
-      "proves": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
+      "shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
       "exists": true,
-      "bytes": 2417,
-      "sha256": "8df03c614be4d16ffce9178afe69ecd0e07d2c6e86f1d7d0dd3c90ee6e156c66"
+      "bytes": 2527,
+      "sha256": "0f341ae943873733236b9fefea9a9848c93a64a2e9bb333d1ab697c71f928f15"
     },
     {
       "id": "project_brief_json",
@@ -49,10 +49,10 @@
       "path": "docs/data/project_brief.json",
       "kind": "project_path",
       "surface": "website_hf",
-      "proves": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
+      "shows": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
       "exists": true,
-      "bytes": 2487,
-      "sha256": "7ba9d79ec8f43fc4169346b8a5d7bdc928b4d8555c0860e42fdd819939990417"
+      "bytes": 2596,
+      "sha256": "aed77943c5cdf2557bce3ecbf75e51d5774a2419b233c601bd815c0875f447b5"
     },
     {
       "id": "project_status",
@@ -60,10 +60,10 @@
       "path": "PROJECT_STATUS.md",
       "kind": "project_path",
       "surface": "repo_hf",
-      "proves": "Gives a compact current-state table for first-pass readers.",
+      "shows": "Gives a compact current-state table for first-pass readers.",
       "exists": true,
-      "bytes": 4872,
-      "sha256": "65dfaf347ebcb02d76d78fc7c10ca0c112d0221c4295571ec1da15781ee41e3c"
+      "bytes": 5290,
+      "sha256": "ae21770fdcdc18b2078e7e879c9c1e13e5094e901a1e2f4cb120ee7952b53ab8"
     },
     {
       "id": "project_status_json",
@@ -71,10 +71,32 @@
       "path": "docs/data/project_status.json",
       "kind": "project_path",
       "surface": "website_hf",
-      "proves": "Machine-readable copy of the current project status for website and HF mirrors.",
+      "shows": "Machine-readable copy of the current project status for website and HF mirrors.",
       "exists": true,
-      "bytes": 6768,
-      "sha256": "386346a753b65948e851c178f4a0116943070244f571d4427b7929d495a6563f"
+      "bytes": 7344,
+      "sha256": "d21fb26e1accaf0130f8ae0275526a49af52a6428b2fb0de7f8dc80d4efed230"
+    },
+    {
+      "id": "research_roadmap",
+      "title": "Research roadmap",
+      "path": "RESEARCH_ROADMAP.md",
+      "kind": "project_path",
+      "surface": "repo_hf",
+      "shows": "Defines the staged path from public-sample task development to multi-episode held-out evaluation and larger omni-model extensions.",
+      "exists": true,
+      "bytes": 5094,
+      "sha256": "b61c7de1ff8ca95329fa7a1d8d9176dc4073e4340e3f28c5a74a2850de6b1756"
+    },
+    {
+      "id": "research_roadmap_json",
+      "title": "Research roadmap JSON",
+      "path": "docs/data/research_roadmap.json",
+      "kind": "project_path",
+      "surface": "website_hf",
+      "shows": "Machine-readable staged roadmap for the website and Hugging Face mirrors.",
+      "exists": true,
+      "bytes": 4590,
+      "sha256": "17f6bb8ecbf0fbb4b2fc987f2a61c61ab8fcff08722cef8135e603ebd1fb8a42"
     },
     {
       "id": "evidence_contract",
@@ -82,10 +104,10 @@
       "path": "EVIDENCE_CONTRACT.md",
       "kind": "project_scope",
       "surface": "repo",
-      "proves": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
+      "shows": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
       "exists": true,
-      "bytes": 10453,
-      "sha256": "6784b7227251e265bf59f194f4d56abfeffa10ab5ef10e7a266752f2ed17acf3"
+      "bytes": 10857,
+      "sha256": "12adfbaa8807d47bb4fa688991fc1aebbe750a78b34c9c423f3a1ac06d07ac99"
     },
     {
       "id": "project_packet",
@@ -93,10 +115,10 @@
       "path": "docs/data/project_packet.json",
       "kind": "project_path",
       "surface": "website_hf",
-      "proves": "Gives a short project path with scope status and public surfaces.",
+      "shows": "Gives a short project path with scope status and public surfaces.",
       "exists": true,
-      "bytes": 7400,
-      "sha256": "242357ad294c12abd68e3c3d3766902c3db566c81b270dcb1103f48e165ed350"
+      "bytes": 7654,
+      "sha256": "ebf621b365c7f384ef89735b5b8829a75e86211245ba10c719cae149b9b07806"
     },
     {
       "id": "artifact_guide",
@@ -104,10 +126,10 @@
       "path": "ARTIFACT_GUIDE.md",
       "kind": "project_path",
       "surface": "repo_hf",
-      "proves": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
+      "shows": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
       "exists": true,
-      "bytes": 13906,
-      "sha256": "36dee4e4b3c4e16c67d7bf1d9aa3d0af626b4279cc10860ca94e686b1bbb768c"
+      "bytes": 14299,
+      "sha256": "f12199e27d8cda03c035b318788a9ab1cb8da7b02c6c57b62e88bd7f1b016876"
     },
     {
       "id": "official_dataset_card_alignment",
@@ -115,7 +137,7 @@
       "path": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
       "kind": "source_alignment",
       "surface": "repo_hf",
-      "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
+      "shows": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
       "exists": true,
       "bytes": 10597,
       "sha256": "3103ed45295e75cca79df6b92709a286989355772fde0f2e573ba1a2bd12d499"
@@ -126,7 +148,7 @@
       "path": "docs/data/xperience10m_dataset_card_alignment.json",
       "kind": "source_alignment",
       "surface": "website_hf",
-      "proves": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
+      "shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
       "exists": true,
       "bytes": 8037,
       "sha256": "6e49a184495c1cc8061f68d7cc74b3ba6377aedffce90c203ae34168411fd538"
@@ -137,7 +159,7 @@
       "path": "SOURCE_ALIGNMENT_AUDIT.md",
       "kind": "source_alignment",
       "surface": "repo_hf",
-      "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
+      "shows": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
       "exists": true,
       "bytes": 2309,
       "sha256": "26f8234b6a537ee5961a140e38ae78d9fedda4158483703d7853b6d7791cd9cb"
@@ -148,10 +170,10 @@
       "path": "docs/data/source_alignment_audit.json",
       "kind": "source_alignment",
       "surface": "website_hf",
-      "proves": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
+      "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
       "exists": true,
-      "bytes": 4423,
-      "sha256": "ed392c979910aae3c6afe87ac679555b38a1d92478f60bc2d07584e7d08f61f2"
+      "bytes": 4432,
+      "sha256": "a9e89118de4da5899823cd9d5711dfd469b4a302e6483e059052ba3af8f76029"
     },
     {
       "id": "source_alignment_validator",
@@ -159,7 +181,7 @@
       "path": "scripts/validate_source_alignment.py",
       "kind": "source_alignment",
       "surface": "repo_hf",
-      "proves": "Regenerates the source-alignment report from committed facts and public card text.",
+      "shows": "Regenerates the source-alignment report from committed facts and public card text.",
       "exists": true,
       "bytes": 15801,
       "sha256": "cb2d11aba5dcadf030c564288d6b502ab3e46bed2486ecd7c6d7b200d22ad773"
@@ -170,7 +192,7 @@
       "path": "scripts/publish_hf_bundles.py",
       "kind": "publication_workflow",
       "surface": "repo_hf",
-      "proves": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
+      "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
       "exists": true,
       "bytes": 7948,
       "sha256": "05556b94aaf549c58fdde92ced5c72d588e81100212783b166d544e1b82fe4b4"
@@ -181,7 +203,7 @@
       "path": "EVALUATION_PROTOCOL.md",
       "kind": "evaluation_protocol",
       "surface": "repo_hf",
-      "proves": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
+      "shows": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
       "exists": true,
       "bytes": 5938,
       "sha256": "b170463965704d181db481e0928c5f6fac3a4b626ebc424ec4e977ddead9c0fa"
@@ -192,7 +214,7 @@
       "path": "docs/data/evaluation_protocol.json",
       "kind": "evaluation_protocol",
       "surface": "website_hf",
-      "proves": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
+      "shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
       "exists": true,
       "bytes": 13667,
       "sha256": "3fa79360af0f055816b50fca655455b321430c0b59d386991d3ec9776aef0bb3"
@@ -203,7 +225,7 @@
       "path": "scripts/build_evaluation_protocol.py",
       "kind": "evaluation_protocol",
       "surface": "repo_hf",
-      "proves": "Regenerates the protocol from committed summary metrics and task artifacts.",
+      "shows": "Regenerates the protocol from committed summary metrics and task artifacts.",
       "exists": true,
       "bytes": 16168,
       "sha256": "01bf9dd4de2970636ec558104cd908beab6b2f8dd6290c60f5f4c2693dd55a94"
@@ -214,7 +236,7 @@
       "path": "RESEARCH_TAKEAWAYS.md",
       "kind": "result_interpretation",
       "surface": "repo_hf",
-      "proves": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
+      "shows": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
       "exists": true,
       "bytes": 3833,
       "sha256": "86e2cbbb820a0fd017c709759b952336364316ff166985e5de5f0c4666b2c55c"
@@ -225,7 +247,7 @@
       "path": "docs/data/research_takeaways.json",
       "kind": "result_interpretation",
       "surface": "website_hf",
-      "proves": "Machine-readable result interpretation for the website, HF cards, and mirror checks.",
+      "shows": "Machine-readable result interpretation for the website, HF cards, and mirror checks.",
       "exists": true,
       "bytes": 5358,
       "sha256": "f4c94ac0a7c162ff9f448635e54df125dbce47d2ad98fa8ca8d85eedb36e9959"
@@ -236,7 +258,7 @@
       "path": "scripts/build_research_takeaways.py",
       "kind": "result_interpretation",
       "surface": "repo_hf",
-      "proves": "Regenerates the research takeaways from committed summary metrics and task result artifacts.",
+      "shows": "Regenerates the research takeaways from committed summary metrics and task result artifacts.",
       "exists": true,
       "bytes": 10667,
       "sha256": "a14855d74b6c6fc8291821b9fbba9185623533ff2e21c96ec53d84071c9e4eae"
@@ -247,7 +269,7 @@
       "path": "FIGURE_INDEX.md",
       "kind": "visual_evidence",
       "surface": "repo_hf",
-      "proves": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
+      "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
       "exists": true,
       "bytes": 4712,
       "sha256": "bf180bd0560c785c85c59f7ad5ad002c1f41ef3b2eda9c604207f39998e4c149"
@@ -258,10 +280,10 @@
       "path": "docs/data/figure_index.json",
       "kind": "visual_evidence",
       "surface": "website_hf",
-      "proves": "Machine-readable visual asset index for website and Hugging Face mirrors.",
+      "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
       "exists": true,
       "bytes": 13434,
-      "sha256": "2620fe80cc8c7fd60d827167f49f7c01486765056787fcdb82f4a001ca6e3052"
+      "sha256": "626ce54a4486a3ce8f284ff21004c0cc485886acedd31c77d80ba115bd07f09c"
     },
     {
       "id": "figure_index_builder",
@@ -269,7 +291,7 @@
       "path": "scripts/build_figure_index.py",
       "kind": "visual_evidence",
       "surface": "repo_hf",
-      "proves": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
+      "shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
       "exists": true,
       "bytes": 12971,
       "sha256": "926f7efd274485b1c4772cea8cd61c96cca57ef04cddf4c23271de604042f135"
@@ -280,7 +302,7 @@
       "path": "docs/data/brand_assets.json",
       "kind": "visual_evidence",
       "surface": "website_hf",
-      "proves": "Machine-readable manifest for the generated logo system, favicon, social card, dimensions, hashes, and usage roles.",
+      "shows": "Machine-readable manifest for the generated logo system, favicon, social card, dimensions, hashes, and usage roles.",
       "exists": true,
       "bytes": 3897,
       "sha256": "0d4e77e3e5903e1d6eff69cc487ad2b7f8d89ad06a44de09d0edca47e878b7d2"
@@ -291,7 +313,7 @@
       "path": "docs/assets/brand/xperience10m-logo-social-card.png",
       "kind": "visual_evidence",
       "surface": "website_hf",
-      "proves": "Provides the project logo card used in README, Hugging Face cards, and social previews.",
+      "shows": "Provides the project logo card used in README, Hugging Face cards, and social previews.",
       "exists": true,
       "bytes": 173845,
       "sha256": "b6b92199efd3562b81a949539d463754eb3beba0391608497dcec69f6f087835"
@@ -302,7 +324,7 @@
       "path": "scripts/build_brand_assets.py",
       "kind": "visual_evidence",
       "surface": "repo_hf",
-      "proves": "Regenerates logo derivatives, favicon variants, app icons, and the Open Graph social card from the generated logo mark.",
+      "shows": "Regenerates logo derivatives, favicon variants, app icons, and the Open Graph social card from the generated logo mark.",
       "exists": true,
       "bytes": 9366,
       "sha256": "56308035aebe9ccb9a63a80ae5c297dcb1f4c47df953e1d85531bfc4441529ad"
@@ -313,7 +335,7 @@
       "path": "QUALITY_GATES.md",
       "kind": "quality_gate",
       "surface": "repo_hf",
-      "proves": "Lists the automated and post-publish checks used to keep the release current.",
+      "shows": "Lists the automated and post-publish checks used to keep the release current.",
       "exists": true,
       "bytes": 4513,
       "sha256": "14a6ef280ecc72e8266f1fcbf7e3bfd91ed650de27ef1d3772b15793aa8e3491"
@@ -324,10 +346,10 @@
       "path": "docs/data/quality_gates.json",
       "kind": "quality_gate",
       "surface": "website_hf",
-      "proves": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
+      "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
       "exists": true,
-      "bytes": 7544,
-      "sha256": "708f9d4bde74ac6c950e97bcffa86405063fca0ad4075f49bd3f0755651c7043"
+      "bytes": 7528,
+      "sha256": "fc7bea936fca24a3cc71539c661c32fcfbbc8827bb99b401e1954efe38894c48"
     },
     {
       "id": "public_surface_qa",
@@ -335,10 +357,10 @@
       "path": "PUBLIC_SURFACE_QA.md",
       "kind": "quality_gate",
       "surface": "repo_hf",
-      "proves": "Keeps the repo, website, and Hugging Face cards aligned as one coherent research project surface.",
+      "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
       "exists": true,
-      "bytes": 1999,
-      "sha256": "5f358c56bf2e3f017f0832767e1e375af6adb44322e01ed11019bb456f8dc102"
+      "bytes": 1992,
+      "sha256": "e423f892fa317a626113fba91b7b14fcdb82477d1124debc2b5d73ff010914e8"
     },
     {
       "id": "public_surface_qa_json",
@@ -347,9 +369,9 @@
       "kind": "quality_gate",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
+      "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
       "exists": true,
-      "bytes": 5413,
+      "bytes": 5455,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -358,10 +380,10 @@
       "path": "scripts/build_public_surface_qa.py",
       "kind": "quality_gate",
       "surface": "repo_hf",
-      "proves": "Regenerates the public project-surface report before release.",
+      "shows": "Regenerates the public project-surface report before release.",
       "exists": true,
-      "bytes": 11740,
-      "sha256": "1fae98d4ce3510f7bb426a9175ed2dbaa45d528bb4209a955a7dda8f47d97808"
+      "bytes": 11812,
+      "sha256": "2c816b3d841fca4485e71748d54b69fe254333ab24282a365549c82a8c477623"
     },
     {
       "id": "task_surface_integrity",
@@ -370,7 +392,7 @@
       "kind": "quality_gate",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Confirms the public 12-task cards use human-readable research names, representative modality thumbnails, and the interactive walkthrough/player JSON contract.",
+      "shows": "Confirms the public 12-task cards use human-readable research names, representative modality thumbnails, and the interactive walkthrough/player JSON contract.",
       "exists": true,
       "bytes": 45780,
       "hash_policy": "existence_and_size_only"
@@ -381,7 +403,7 @@
       "path": "scripts/validate_task_surface.py",
       "kind": "quality_gate",
       "surface": "repo_hf",
-      "proves": "Regenerates the task-surface integrity report and fails if task cards expose raw artifact ids or lose the interactive player wiring.",
+      "shows": "Regenerates the task-surface integrity report and fails if task cards expose raw artifact ids or lose the interactive player wiring.",
       "exists": true,
       "bytes": 15964,
       "sha256": "e674a6301692132fdbd6e379e4fa8db677388d762d86d3b1bb1f9f76b3b453de"
@@ -393,7 +415,7 @@
       "kind": "quality_gate",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Records the last live GitHub/HF URL verification after upload.",
+      "shows": "Records the last live GitHub/HF URL verification after upload.",
       "exists": true,
       "bytes": 47827,
       "hash_policy": "existence_and_size_only"
@@ -404,10 +426,10 @@
       "path": "scripts/verify_live_publication.py",
       "kind": "quality_gate",
       "surface": "repo",
-      "proves": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
+      "shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
       "exists": true,
-      "bytes": 26916,
-      "sha256": "aad6a506b8c8c61fd0fb6f1bc3adceb899d4ac06c3d28ae0e8516445fc5a52a8"
+      "bytes": 27645,
+      "sha256": "ce62085efcc288237d53046db83f30fe401e69db60f11585d206f5a365d58dc2"
     },
     {
       "id": "reproducibility_contract",
@@ -415,10 +437,10 @@
       "path": "REPRODUCIBILITY.md",
       "kind": "reproducibility",
       "surface": "repo_hf",
-      "proves": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
+      "shows": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
       "exists": true,
-      "bytes": 6316,
-      "sha256": "1635a0179adfa6c9bc865e5bec46fe3525636fa4bd03daa282fe3279cf05edd7"
+      "bytes": 6313,
+      "sha256": "22081293ef12887099ff05ed99d1a1dfbf1d951aed66533eba7740f58a1d405c"
     },
     {
       "id": "reproducibility_matrix",
@@ -426,7 +448,7 @@
       "path": "docs/data/reproducibility_matrix.json",
       "kind": "reproducibility",
       "surface": "website_hf",
-      "proves": "Machine-readable reproduction steps with expected artifacts and public boundaries.",
+      "shows": "Machine-readable reproduction steps with expected artifacts and public boundaries.",
       "exists": true,
       "bytes": 5195,
       "sha256": "4ecf4f09138c58b3ebe6cfeab54907c372e717b2979df1341a6b3dfeb020b908"
@@ -437,10 +459,10 @@
       "path": "scripts/build_artifact_index.py",
       "kind": "project_path",
       "surface": "repo_hf",
-      "proves": "Generates the selective proof-artifact catalog from local files.",
+      "shows": "Generates the selective artifact catalog from local files.",
       "exists": true,
-      "bytes": 22030,
-      "sha256": "4552993b1d185396dca16f8d5c8082c99c5d5f23645ba8587a1524643df9e89a"
+      "bytes": 22604,
+      "sha256": "dc3355f4c4d6f262be5eb6a4651a2a4b39db86740c07b10a881f676e296283cd"
     },
     {
       "id": "publication_audit",
@@ -449,9 +471,9 @@
       "kind": "publication_package_check",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
+      "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
       "exists": true,
-      "bytes": 6883,
+      "bytes": 6962,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -461,7 +483,7 @@
       "kind": "scale_up_status",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Records historical 32ep setup paths separately from completed held-out-episode results.",
+      "shows": "Records historical 32ep setup paths separately from completed held-out-episode results.",
       "exists": true,
       "bytes": 20066,
       "hash_policy": "existence_and_size_only"
@@ -473,9 +495,9 @@
       "kind": "mirror_parity",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
+      "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
       "exists": true,
-      "bytes": 74690,
+      "bytes": 76733,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -485,9 +507,9 @@
       "kind": "integrity_report",
       "surface": "website_hf",
       "volatile": true,
-      "proves": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
+      "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
       "exists": true,
-      "bytes": 11444,
+      "bytes": 11553,
       "hash_policy": "existence_and_size_only"
     },
     {
@@ -496,7 +518,7 @@
       "path": "docs/data/project_manifest.json",
       "kind": "metadata",
       "surface": "website_hf",
-      "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.",
+      "shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
       "exists": true,
       "bytes": 4468,
       "sha256": "a5fd25374d967c7155e8d3c404d9b520d804c7a0de5c84c4f725156155f421b1"
@@ -507,7 +529,7 @@
       "path": "results/episode_task_suite/summary_report.json",
       "kind": "metrics_source",
       "surface": "repo_hf",
-      "proves": "Stores the task definitions, splits, feature dimension, and minimal/neural metrics.",
+      "shows": "Stores the task definitions, splits, feature dimension, and minimal/neural metrics.",
       "exists": true,
       "bytes": 19629,
       "sha256": "04d2badfaa149cce10e218ea8e13745e620d062e4ec5fa9f209a3ed9926a2ef4"
@@ -518,7 +540,7 @@
       "path": "docs/data/summary_metrics.json",
       "kind": "website_data",
       "surface": "website_hf",
-      "proves": "Mirrors task metrics for the static dashboard.",
+      "shows": "Mirrors task metrics for the static dashboard.",
       "exists": true,
       "bytes": 25074,
       "sha256": "3240ae9ca9109925bf0408a48d44817684a47a15ff942895220860b76284db1b"
@@ -529,7 +551,7 @@
       "path": "results/episode_task_suite/feature_manifest.json",
       "kind": "data_contract",
       "surface": "repo_hf",
-      "proves": "Maps the 8,378-dimensional window vector back to source feature blocks.",
+      "shows": "Maps the 8,378-dimensional window vector back to source feature blocks.",
       "exists": true,
       "bytes": 1577,
       "sha256": "a6662295f44c325490d3575edb1a0e88585554c57c3988263b78b59bec3970a0"
@@ -540,7 +562,7 @@
       "path": "results/episode_task_suite/available_modalities.json",
       "kind": "data_contract",
       "surface": "repo_hf",
-      "proves": "Documents which sample modalities entered the current extracted feature contract.",
+      "shows": "Documents which sample modalities entered the current extracted feature contract.",
       "exists": true,
       "bytes": 1413,
       "sha256": "920c3fa448977212212d42dbe673b56d509a7d6a96b14ff716592598686afcf8"
@@ -551,7 +573,7 @@
       "path": "results/episode_task_suite/windows.csv",
       "kind": "data_contract",
       "surface": "repo_hf",
-      "proves": "Lists the 1,161 aligned windows and their frame/action/subtask labels.",
+      "shows": "Lists the 1,161 aligned windows and their frame/action/subtask labels.",
       "exists": true,
       "bytes": 85266,
       "sha256": "c075e43518a96934b68da97dceb45926c5fd71c846c8df5d94cc1a3d9e250739"
@@ -562,7 +584,7 @@
       "path": "results/episode_task_suite/neural_mlp",
       "kind": "result_directory",
       "surface": "repo_hf_model",
-      "proves": "Stores matching PyTorch MLP results for the 12 task contracts.",
+      "shows": "Stores matching PyTorch MLP results for the 12 task contracts.",
       "exists": true,
       "file_count": 60,
       "bytes": 89364909
@@ -573,10 +595,10 @@
       "path": "results/episode_task_suite/research_directions/research_direction_taxonomy.json",
       "kind": "taxonomy",
       "surface": "repo_hf",
-      "proves": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
+      "shows": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
       "exists": true,
-      "bytes": 14412,
-      "sha256": "5e0c9d3d3655c36b45966c0e383e65551d7567f2c45530321bf5e1012b70865b"
+      "bytes": 14414,
+      "sha256": "fbc45a85de7e52a1a67c413115bf062961bc00f413811f6d7951e4e1ac80824e"
     },
     {
       "id": "research_direction_extensions",
@@ -584,7 +606,7 @@
       "path": "results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json",
       "kind": "metrics_source",
       "surface": "repo_hf",
-      "proves": "Stores one coded extension probe per research direction with minimal and neural metrics.",
+      "shows": "Stores one coded extension probe per research direction with minimal and neural metrics.",
       "exists": true,
       "bytes": 11894,
       "sha256": "ab0e51d53efe58a78f0f57aa683281e64701da86f6fa3ab1c185211b3c07164e"
@@ -595,7 +617,7 @@
       "path": "results/episode_task_suite/task_walkthroughs/TASK_WALKTHROUGHS.md",
       "kind": "onboarding_doc",
       "surface": "repo_hf",
-      "proves": "Explains every task with case study, input, process modules, output, and limitation.",
+      "shows": "Explains every task with case study, input, process modules, output, and limitation.",
       "exists": true,
       "bytes": 15430,
       "sha256": "fd81c9629ac0d5e5793a82ffa0b4f484487496ad9510854e21121106eed6d071"
@@ -606,7 +628,7 @@
       "path": "docs/assets/task_suite_infographic.png",
       "kind": "generated_figure",
       "surface": "website_hf",
-      "proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
+      "shows": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
       "exists": true,
       "bytes": 2618313,
       "sha256": "7689eb255c7ad356c6ebd7c70063f53b4cffc2ff8746dac3139841348acf9e30"
@@ -617,10 +639,10 @@
       "path": "docs/data/modality_atlas.json",
       "kind": "website_data",
       "surface": "website_hf",
-      "proves": "Documents the seven public-sample modality cards and their derived thumbnail assets.",
+      "shows": "Documents the seven public-sample modality cards and their derived thumbnail assets.",
       "exists": true,
-      "bytes": 3837,
-      "sha256": "af74cd63f60a09e81ed6ce2d2c8b1621556b75ea9afbe20e267e25ac37fe00c8"
+      "bytes": 3841,
+      "sha256": "8b290ea80a7fe494955fa715c658105d678c3f7f26c8379a81223aa8e67ecc24"
     },
     {
       "id": "modality_thumbnails",
@@ -628,7 +650,7 @@
       "path": "docs/assets/modalities",
       "kind": "generated_figure_assets",
       "surface": "website_hf",
-      "proves": "Stores small derived thumbnails for readable website modality cards without raw data redistribution.",
+      "shows": "Stores small derived thumbnails for readable website modality cards without raw data redistribution.",
       "exists": true,
       "file_count": 7,
       "bytes": 279634
@@ -639,7 +661,7 @@
       "path": "docs/assets/pipeline_diagram.png",
       "kind": "generated_figure",
       "surface": "website_hf",
-      "proves": "Shows the raw-episode to artifact pipeline with verified labels.",
+      "shows": "Shows the raw-episode to artifact pipeline with verified labels.",
       "exists": true,
       "bytes": 706050,
       "sha256": "de29f83f2b2cdec0fa96d6bcf5fb7f7ba73c765e7a810513e0366076bdbeed3b"
@@ -650,7 +672,7 @@
       "path": "docs/assets/task_architectures.png",
       "kind": "generated_figure",
       "surface": "website_hf",
-      "proves": "Shows the shared feature pipeline and minimal/neural head families.",
+      "shows": "Shows the shared feature pipeline and minimal/neural head families.",
       "exists": true,
       "bytes": 762786,
       "sha256": "9a1d5e87f57dfdaff15efa29c4a236b4f4a1f5c04ac104837e7f98b835b88be6"
@@ -661,7 +683,7 @@
       "path": "results/omni_finetune/DATA_ACCESS_STATUS.md",
       "kind": "scaleup_status",
       "surface": "repo_hf",
-      "proves": "Summarizes the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
+      "shows": "Summarizes the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
       "exists": true,
       "bytes": 1676,
       "sha256": "c810259f82df1daebcaf6d03baa61c8c7dc2cc1a7d02f1b6d29776966f094a6f"
@@ -672,10 +694,10 @@
       "path": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
       "kind": "scaleup_status",
       "surface": "repo_hf",
-      "proves": "Documents the public multi-episode access status and 32-episode pilot selection.",
+      "shows": "Documents the public multi-episode access status and 32-episode pilot selection.",
       "exists": true,
-      "bytes": 1485,
-      "sha256": "c816586827031d6d778d3d80ee4af89f08a9cc32c9eb45a7540be1ab08d4035a"
+      "bytes": 1480,
+      "sha256": "e5a3360a28ea5196cf477a648f119e9c936f9e8b427923d6f04b7589a0f63e4d"
     },
     {
       "id": "citation",
@@ -683,7 +705,7 @@
       "path": "CITATION.cff",
       "kind": "citation",
       "surface": "repo_hf",
-      "proves": "Makes the project externally citable.",
+      "shows": "Makes the project externally citable.",
       "exists": true,
       "bytes": 1431,
       "sha256": "e84efc4c45ea168e1eb0f3db938077e04a9521c3abb8dc0cc1003e22958e0222"
@@ -694,7 +716,7 @@
       "path": "LICENSE",
       "kind": "license",
       "surface": "repo_hf",
-      "proves": "Separates MIT-scoped code from original Xperience-10M data terms.",
+      "shows": "Separates MIT-scoped code from original Xperience-10M data terms.",
       "exists": true,
       "bytes": 1745,
       "sha256": "09cf3f632d1248b6aa4457fdd510f878dcbd1e2e51bafba0ddc7cd4f05e23d07"

docs/data/evidence_contract.json

@@ -11,6 +11,16 @@
         "docs/data/project_status.json"
       ],
       "boundary": "summarizes existing evidence and current limitations"
+    },
+    {
+      "id": "research_roadmap",
+      "claim": "The staged research path is explicit.",
+      "status": "current",
+      "evidence": [
+        "RESEARCH_ROADMAP.md",
+        "docs/data/research_roadmap.json"
+      ],
+      "boundary": "connects public-sample task development to multi-episode staging, Qwen3-Omni LoRA, robustness runs, and larger omni-model extensions"
     },
         {
             "id": "official_dataset_card_alignment",

docs/data/figure_index.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Figure Index",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:12:48+00:00",
+  "generated_at_utc": "2026-06-02T17:13:17+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": 21,
   "figures": [

docs/data/mirror_parity.json

@@ -1,9 +1,9 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:45:01+00:00",
+  "generated_at_utc": "2026-06-02T17:37:17+00:00",
   "hf_root": "hf_publish",
   "summary": {
-    "group_count": 70,
+    "group_count": 72,
     "failure_count": 0,
     "failures_by_surface": {}
   },
@@ -36,27 +36,27 @@
       "local": {
         "path": "repo:docs/data/artifact_index.json",
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docs/data/modality_atlas.json

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-    "Images are lightweight derived thumbnails for review and website presentation.",
+    "Images are lightweight derived thumbnails for inspection and website presentation.",
     "Raw MP4, HDF5, and RRD files remain excluded from the public repo and Hugging Face bundles.",
     "Audio is present in the MP4 stream but is not yet featurized in the current 8,378-d baseline vector."
   ],

docs/data/project_brief.json

@@ -29,6 +29,7 @@
   ],
   "reading_order": [
     "Start with the website or PROJECT_BRIEF.md to understand the project shape.",
+    "Open RESEARCH_ROADMAP.md to see how the work scales from the public sample to multi-episode modeling.",
     "Open EVALUATION_PROTOCOL.md before comparing task scores.",
     "Use RESEARCH_TAKEAWAYS.md for the current metric interpretation.",
     "Inspect results/episode_task_suite/feature_manifest.json to understand one model input.",

docs/data/project_packet.json

@@ -14,13 +14,15 @@
     "qwen3_omni_32_episode_claim": false,
     "qwen3_omni_status": "Setup-stage until at least 32 valid episodes are available and held-out episode evaluation finishes."
   },
-  "review_path": [
+  "reading_path": [
     {
       "step": 1,
-      "question": "What exactly is being claimed?",
+      "question": "What is the current project scope?",
       "primary_artifacts": [
         "PROJECT_STATUS.md",
         "docs/data/project_status.json",
+                "RESEARCH_ROADMAP.md",
+                "docs/data/research_roadmap.json",
                 "EVIDENCE_CONTRACT.md",
                 "ARTIFACT_GUIDE.md",
                 "EVALUATION_PROTOCOL.md",
@@ -39,7 +41,7 @@
         "docs/data/scope_claims_audit.json",
         "docs/data/website_integrity.json"
       ],
-      "readout": "The project status table gives the compact current-state summary. Single-episode task engineering, metrics, visualizations, publication checks, local website integrity, mirror parity, and scale-up status checks are implemented; cross-episode generalization and 32-episode Qwen3-Omni metrics are later milestones."
+      "readout": "The project status table and roadmap give the compact current-state summary. Single-episode task engineering, metrics, visualizations, public website integrity, mirror parity, and scale-up status checks are implemented; cross-episode generalization and 32-episode Qwen3-Omni metrics are later milestones."
     },
     {
       "step": 2,
@@ -103,10 +105,12 @@
       ],
       "readout": "Each of the 12 tasks has minimal-head metrics and a matching neural MLP result over the same window contracts."
     },
-        {
-            "step": 8,
-            "question": "How should this scale beyond one episode?",
+    {
+      "step": 8,
+            "question": "What is the staged scale-up path?",
       "primary_artifacts": [
+        "RESEARCH_ROADMAP.md",
+        "docs/data/research_roadmap.json",
         "results/omni_finetune/DATA_ACCESS_STATUS.md",
         "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
         "scripts/omni/discover_xperience10m_sources.py"
@@ -116,6 +120,8 @@
   ],
     "project_status": "PROJECT_STATUS.md",
     "project_status_json": "docs/data/project_status.json",
+    "research_roadmap": "RESEARCH_ROADMAP.md",
+    "research_roadmap_json": "docs/data/research_roadmap.json",
     "evaluation_protocol": "EVALUATION_PROTOCOL.md",
     "evaluation_protocol_json": "docs/data/evaluation_protocol.json",
     "source_alignment_audit": "SOURCE_ALIGNMENT_AUDIT.md",

docs/data/project_status.json

@@ -64,6 +64,15 @@
             ],
             "readout": "The main result interpretation is generated from committed metrics: chronological class shift, neural gains on dynamics/order/alignment, open retrieval/reconstruction problems, and the need for held-out episodes."
         },
+        {
+            "area": "Research roadmap",
+            "status": "current",
+            "evidence": [
+                "RESEARCH_ROADMAP.md",
+                "docs/data/research_roadmap.json"
+            ],
+            "readout": "The staged path connects public-sample task development to multi-episode data staging, the 32-episode Qwen3-Omni LoRA pilot, robustness runs, and larger omni-model extensions."
+        },
         {
             "area": "Official dataset wording",
             "status": "verified",
@@ -135,9 +144,10 @@
   "fast_research_route": [
     "Read PROJECT_STATUS.md and EVIDENCE_CONTRACT.md to establish what is implemented.",
         "Open docs/data/project_packet.json for the machine-readable project path.",
+        "Inspect RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json before interpreting model scores.",
+        "Inspect RESEARCH_ROADMAP.md and docs/data/research_roadmap.json for the staged path from public-sample task work to multi-episode modeling.",
         "Inspect docs/data/summary_metrics.json and results/episode_task_suite/neural_mlp/ to check the 12-task outputs.",
         "Inspect EVALUATION_PROTOCOL.md before judging task metrics or leakage controls.",
-        "Inspect RESEARCH_TAKEAWAYS.md and docs/data/research_takeaways.json before interpreting model scores.",
         "Inspect SOURCE_ALIGNMENT_AUDIT.md before judging source-card consistency across public surfaces.",
         "Inspect XPERIENCE10M_DATASET_CARD_ALIGNMENT.md before judging dataset wording.",
     "Inspect results/omni_finetune/DATA_ACCESS_STATUS.md before judging Qwen3-Omni scale-up status."

docs/data/public_surface_qa.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Public Project Surface",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:20:14+00:00",
+  "generated_at_utc": "2026-06-02T17:32:11+00:00",
   "scope": "Repo README, GitHub Pages HTML, Hugging Face Space card, artifact dataset card, and model card.",
   "checks": [
     {
@@ -18,32 +18,32 @@
         "website_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:31:08+00:00"
+          "generated_at_utc": "2026-06-02T17:31:49+00:00"
         },
         "task_surface_integrity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:31:08+00:00"
+          "generated_at_utc": "2026-06-02T17:31:48+00:00"
         },
         "source_alignment": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T16:17:26+00:00"
+          "generated_at_utc": "2026-06-02T17:31:48+00:00"
         },
         "scale_up_status": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:31:08+00:00"
+          "generated_at_utc": "2026-06-02T17:31:48+00:00"
         },
         "publication_package": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:36:50+00:00"
+          "generated_at_utc": "2026-06-02T16:45:02+00:00"
         },
         "mirror_parity": {
           "exists": true,
           "status": "pass",
-          "generated_at_utc": "2026-06-02T15:41:21+00:00"
+          "generated_at_utc": "2026-06-02T16:45:01+00:00"
         },
         "live_publication": {
           "exists": true,
@@ -76,7 +76,7 @@
       "marker_counts": {
         "role=\"tablist\"": 3,
         "role=\"tab\"": 9,
-        "role=\"tabpanel\"": 24,
+        "role=\"tabpanel\"": 25,
         "aria-selected": 12,
         "aria-controls": 10,
         "moveProjectTabFocus": 2,
@@ -96,9 +96,9 @@
       "reason": "Public copy should consistently present the project as Ropedia Xperience-10M, with the Qwen3-Omni scale-up status.",
       "marker_counts": {
         "Ropedia Xperience-10M Task Suite": 15,
-        "Xperience-10M": 95,
+        "Xperience-10M": 96,
         "12-task": 20,
-        "Qwen3-Omni": 35,
+        "Qwen3-Omni": 40,
         "one public Xperience-10M sample episode": 1
       }
     },
@@ -107,7 +107,7 @@
       "status": "pass",
       "reason": "Public cards should link the repo, Space, artifacts, model baselines, upstream dataset, and Ropedia dataset page.",
       "marker_counts": {
-        "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite": 60,
+        "https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite": 63,
         "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite": 6,
         "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts": 4,
         "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines": 5,
@@ -125,7 +125,8 @@
         "data/task_surface_integrity.json": 13,
         "data/publication_audit.json": 11,
         "data/mirror_parity.json": 9,
-        "data/public_surface_qa.json": 10
+        "data/public_surface_qa.json": 10,
+        "data/research_roadmap.json": 16
       }
     },
     {

docs/data/publication_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:45:02+00:00",
+  "generated_at_utc": "2026-06-02T17:35:52+00:00",
   "checks": [
     {
       "name": "required_publication_assets_present",
@@ -50,6 +50,7 @@
     "codemeta.json": true,
     "ARTIFACT_GUIDE.md": true,
     "PROJECT_STATUS.md": true,
+    "RESEARCH_ROADMAP.md": true,
     "RESEARCH_TAKEAWAYS.md": true,
     "QUALITY_GATES.md": true,
     "PUBLIC_SURFACE_QA.md": true,
@@ -79,6 +80,7 @@
     "docs/data/project_manifest.json": true,
     "docs/data/project_packet.json": true,
     "docs/data/project_status.json": true,
+    "docs/data/research_roadmap.json": true,
     "docs/data/research_takeaways.json": true,
     "docs/data/xperience10m_dataset_card_alignment.json": true,
     "docs/data/reproducibility_matrix.json": true,
@@ -174,8 +176,8 @@
     "github_repo": {
       "root": "repo",
       "exists": true,
-      "file_count": 328,
-      "text_file_count": 264,
+      "file_count": 330,
+      "text_file_count": 266,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010
@@ -185,8 +187,8 @@
     "hf_space_bundle": {
       "root": "hf_publish/space",
       "exists": true,
-      "file_count": 91,
-      "text_file_count": 69,
+      "file_count": 116,
+      "text_file_count": 89,
       "largest_file": {
         "path": "assets/task_suite_infographic.png",
         "bytes": 2618313
@@ -196,8 +198,8 @@
     "hf_artifact_bundle": {
       "root": "hf_publish/artifacts",
       "exists": true,
-      "file_count": 357,
-      "text_file_count": 273,
+      "file_count": 359,
+      "text_file_count": 275,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010
@@ -207,8 +209,8 @@
     "hf_model_bundle": {
       "root": "hf_publish/model",
       "exists": true,
-      "file_count": 532,
-      "text_file_count": 416,
+      "file_count": 536,
+      "text_file_count": 420,
       "largest_file": {
         "path": "results/episode_task_suite/modality_reconstruction/predictions.npz",
         "bytes": 52601010

docs/data/quality_gates.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Release Checks",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:12:20+00:00",
+  "generated_at_utc": "2026-06-02T17:36:06+00:00",
   "rule": "A release is current when the automated reports pass and the live GitHub/Hugging Face mirrors are verified after publishing.",
   "automated_gates": [
     {
@@ -10,7 +10,7 @@
       "command": "python scripts/validate_scope_claims.py",
       "report": "docs/data/scope_claims_audit.json",
       "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
-      "proves": "Qwen3-Omni setup artifacts stay distinct from the planned held-out 32-episode pilot.",
+      "shows": "Qwen3-Omni setup artifacts stay distinct from the planned held-out 32-episode pilot.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -22,7 +22,7 @@
       "command": "python scripts/validate_source_alignment.py",
       "report": "docs/data/source_alignment_audit.json",
       "blocks_if": "Official full-dataset facts, sample-card facts, API-listing notes, or project coverage are missing or inconsistent.",
-      "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
+      "shows": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -34,7 +34,7 @@
       "command": "python scripts/validate_website_integrity.py",
       "report": "docs/data/website_integrity.json",
       "blocks_if": "Local links, anchors, JSON bundles, or referenced image assets are missing or invalid.",
-      "proves": "The GitHub Pages / HF static surface is internally coherent before upload.",
+      "shows": "The GitHub Pages / HF static surface is self-consistent before upload.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -46,7 +46,7 @@
       "command": "python scripts/validate_task_surface.py",
       "report": "docs/data/task_surface_integrity.json",
       "blocks_if": "Task cards expose raw artifact ids, human-readable task names drift, modality thumbnails are missing, or the interactive task player is not wired to the generated JSON.",
-      "proves": "The public task cards and walkthrough/player stay aligned with generated 12-task metadata.",
+      "shows": "The public task cards and walkthrough/player stay aligned with generated 12-task metadata.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -58,7 +58,7 @@
       "command": "python scripts/build_evaluation_protocol.py",
       "report": "docs/data/evaluation_protocol.json",
       "blocks_if": "Windowing, split policy, leakage controls, task metrics, or current limitations are not explicit.",
-      "proves": "The task evaluation protocol is generated from committed metric artifacts.",
+      "shows": "The task evaluation protocol is generated from committed metric artifacts.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -70,7 +70,7 @@
       "command": "python scripts/build_figure_index.py",
       "report": "docs/data/figure_index.json",
       "blocks_if": "Public figures, charts, or modality thumbnails are missing, unreadable, or lack source-script provenance.",
-      "proves": "Public visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
+      "shows": "Public visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -82,7 +82,7 @@
       "command": "python scripts/build_brand_assets.py",
       "report": "docs/data/brand_assets.json",
       "blocks_if": "The generated logo system, favicon, social card, or app icons are missing or not reproducibly packaged.",
-      "proves": "The same project logo is available for website header, favicon, README, Hugging Face cards, and social previews.",
+      "shows": "The same project logo is available for website header, favicon, README, Hugging Face cards, and social previews.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -94,7 +94,7 @@
       "command": "python scripts/build_quality_gates.py",
       "report": "docs/data/quality_gates.json",
       "blocks_if": "A public reader cannot see the current release state in one place.",
-      "proves": "The release checklist is explicit, versioned, and mirrored with the repo.",
+      "shows": "The release checklist is explicit, versioned, and mirrored with the repo.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -106,7 +106,7 @@
       "command": "python scripts/build_artifact_index.py",
       "report": "docs/data/artifact_index.json",
       "blocks_if": "Project-critical evidence files are missing from the indexed artifact layer.",
-      "proves": "Core project artifacts exist and stable files have SHA-256 hashes.",
+      "shows": "Core project artifacts exist and stable files have SHA-256 hashes.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -118,7 +118,7 @@
       "command": "python scripts/validate_publication_package.py",
       "report": "docs/data/publication_audit.json",
       "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",
-      "proves": "The repo and prepared HF bundles contain the intended public files for release.",
+      "shows": "The repo and prepared HF bundles contain the intended public files for release.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -130,7 +130,7 @@
       "command": "python scripts/build_public_surface_qa.py",
       "report": "docs/data/public_surface_qa.json",
       "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or reader-facing copy consistency.",
-      "proves": "The public repo, website, and Hugging Face cards read as one coherent research project surface.",
+      "shows": "The public repo, website, and Hugging Face cards read as one cohesive research project surface.",
       "current_report": {
         "exists": true,
         "status": "pass"
@@ -142,7 +142,7 @@
       "command": "python scripts/validate_mirror_parity.py",
       "report": "docs/data/mirror_parity.json",
       "blocks_if": "Prepared HF Space, artifact dataset, or model bundle diverges from the repo for critical files.",
-      "proves": "The files staged for GitHub and Hugging Face are synchronized before upload.",
+      "shows": "The files staged for GitHub and Hugging Face are synchronized before upload.",
       "current_report": {
         "exists": true,
         "status": "pass"

docs/data/research_directions.json

@@ -306,7 +306,7 @@
         "D": "proxy"
       },
       "why": "Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.",
-      "current_limit": "Retrieval proves alignment signal, not geometric reconstruction.",
+      "current_limit": "Retrieval shows an alignment signal, not geometric reconstruction.",
       "metric": {
         "key": "mrr",
         "name": "MRR",

docs/data/research_roadmap.json

@@ -0,0 +1,124 @@
+{
+  "title": "Ropedia Xperience-10M Research Roadmap",
+  "summary": "Staged path from the public-sample task lab to multi-episode held-out evaluation and larger omni-model extensions.",
+  "current_decision_point": "Keep the public-sample task suite as the development harness, then stage enough official Xperience-10M episodes to run the 32-episode held-out pilot.",
+  "phases": [
+    {
+      "id": "public_sample_task_lab",
+      "name": "Public-Sample Task Lab",
+      "status": "implemented",
+      "entry_condition": "One public Xperience-10M sample episode is available.",
+      "deliverables": [
+        "1161 aligned windows",
+        "12 task contracts",
+        "minimal baseline heads",
+        "neural MLP heads",
+        "modality atlas",
+        "task walkthroughs",
+        "derived figures"
+      ],
+      "completion_evidence": [
+        "PROJECT_STATUS.md",
+        "EVALUATION_PROTOCOL.md",
+        "RESEARCH_TAKEAWAYS.md",
+        "docs/data/summary_metrics.json",
+        "results/episode_task_suite/summary_report.json"
+      ],
+      "reader_takeaway": "The public sample supports task design, feature contracts, walkthroughs, and baseline comparisons."
+    },
+    {
+      "id": "multi_episode_data_staging",
+      "name": "Multi-Episode Data Staging",
+      "status": "active",
+      "entry_condition": "Gated dataset access and enough storage for selected episodes.",
+      "deliverables": [
+        "32 valid episodes",
+        "episode manifest",
+        "missing-view manifest",
+        "held-out episode split",
+        "source-discovery report"
+      ],
+      "completion_evidence": [
+        "results/omni_finetune/DATA_ACCESS_STATUS.md",
+        "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
+        "results/omni_finetune/source_discovery.json"
+      ],
+      "reader_takeaway": "The next scale decision is data staging, with train/test separation at the episode level."
+    },
+    {
+      "id": "qwen3_omni_lora_pilot_32_episode",
+      "name": "32-Episode Qwen3-Omni LoRA Pilot",
+      "status": "next",
+      "entry_condition": "At least 32 valid episodes are staged locally with no train/test episode leakage.",
+      "deliverables": [
+        "dataset JSONL/media manifests",
+        "LoRA adapter checkpoint",
+        "progress logs",
+        "held-out predictions",
+        "metrics",
+        "confusion matrices",
+        "run report"
+      ],
+      "completion_evidence": [
+        "dataset_manifest.json",
+        "training_metadata.json",
+        "progress.jsonl",
+        "metrics.json",
+        "predictions.jsonl",
+        "RUN_REPORT.md"
+      ],
+      "reader_takeaway": "The first omni-model pilot should prove a complete held-out-episode training and evaluation loop."
+    },
+    {
+      "id": "robustness_run_64_128_episode",
+      "name": "64-128 Episode Robustness Run",
+      "status": "planned",
+      "entry_condition": "The 32-episode pilot trains and evaluates cleanly.",
+      "deliverables": [
+        "split-by-session metrics",
+        "modality ablations",
+        "calibration/object/language error analysis",
+        "missing-view sensitivity analysis"
+      ],
+      "completion_evidence": [
+        "held-out metrics by session",
+        "held-out metrics by task",
+        "held-out metrics by modality",
+        "ablation tables",
+        "qualitative error analysis"
+      ],
+      "reader_takeaway": "The robustness run tests whether the pilot conclusions survive broader sessions and missing modalities."
+    },
+    {
+      "id": "foundation_world_model_extensions",
+      "name": "Foundation and World-Model Extensions",
+      "status": "planned",
+      "entry_condition": "Enough multi-episode data and compute budget for larger multimodal objectives.",
+      "deliverables": [
+        "audio encoder integration",
+        "depth/image reconstruction",
+        "SLAM/world modeling probes",
+        "policy-style next-action tasks",
+        "affordance and object-interaction tasks"
+      ],
+      "completion_evidence": [
+        "task-specific held-out evaluations",
+        "qualitative inspection",
+        "updated model cards"
+      ],
+      "reader_takeaway": "The long-term direction is richer multimodal representation learning for embodied-AI reasoning."
+    }
+  ],
+  "public_surfaces_to_update": [
+    "README.md",
+    "PROJECT_STATUS.md",
+    "RESEARCH_TAKEAWAYS.md",
+    "EVALUATION_PROTOCOL.md",
+    "ARTIFACT_GUIDE.md",
+    "docs/index.html",
+    "docs/data/research_roadmap.json",
+    "Hugging Face Space card",
+    "Hugging Face artifact dataset card",
+    "Hugging Face model card"
+  ]
+}

docs/data/scope_claims_audit.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:20:59+00:00",
+  "generated_at_utc": "2026-06-02T17:31:48+00:00",
   "summary": {
     "qwen3_omni_32_episode_claim": false,
     "dataset_manifest_num_episodes": 1,

docs/data/source_alignment_audit.json

@@ -1,7 +1,7 @@
 {
   "title": "Ropedia Xperience-10M Source Alignment Note",
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:20:59+00:00",
+  "generated_at_utc": "2026-06-02T17:31:48+00:00",
   "alignment_json": "docs/data/xperience10m_dataset_card_alignment.json",
   "alignment_summary": {
     "full_dataset_repo": "ropedia-ai/xperience-10m",

docs/data/task_surface_integrity.json

@@ -1,6 +1,6 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:20:59+00:00",
+  "generated_at_utc": "2026-06-02T17:31:48+00:00",
   "summary": {
     "task_count": 12,
     "expected_task_count": 12,
@@ -64,45 +64,45 @@
       "observed": "timeline_action"
     },
     {
-      "name": "timeline_action: public_field_card_blurb_is_human_readable",
+      "name": "timeline_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_display_name_is_human_readable",
+      "name": "timeline_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Action Recognition",
+      "value": "Egocentric Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_process_short_is_human_readable",
+      "name": "timeline_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "window features -> action label builder -> classifier",
+      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_research_name_is_human_readable",
+      "name": "timeline_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Egocentric Action Recognition",
+      "value": "window features -> action label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_input_short_is_human_readable",
+      "name": "timeline_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Look at one short multimodal window and name what action is happening now.",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_output_short_is_human_readable",
+      "name": "timeline_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current action class",
+      "value": "Action Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_action: public_field_plain_goal_is_human_readable",
+      "name": "timeline_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Look at one short multimodal window and name what action is happening now.",
+      "value": "current action class",
       "raw_hits": []
     },
     {
@@ -184,45 +184,45 @@
       "observed": "timeline_subtask"
     },
     {
-      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
+      "name": "timeline_subtask: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
+      "value": "20-frame multimodal window",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_display_name_is_human_readable",
+      "name": "timeline_subtask: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Procedure Step Recognition",
+      "value": "Temporal Subtask Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_process_short_is_human_readable",
+      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "window features -> subtask label builder -> classifier",
+      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_research_name_is_human_readable",
+      "name": "timeline_subtask: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Subtask Recognition",
+      "value": "window features -> subtask label builder -> classifier",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_input_short_is_human_readable",
+      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "20-frame multimodal window",
+      "value": "Predict the higher-level task stage for the current window.",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_output_short_is_human_readable",
+      "name": "timeline_subtask: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "current procedure step",
+      "value": "Procedure Step Recognition",
       "raw_hits": []
     },
     {
-      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
+      "name": "timeline_subtask: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict the higher-level task stage for the current window.",
+      "value": "current procedure step",
       "raw_hits": []
     },
     {
@@ -304,45 +304,45 @@
       "observed": "transition_detection"
     },
     {
-      "name": "transition_detection: public_field_card_blurb_is_human_readable",
+      "name": "transition_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect the local moment where the episode changes from one action segment to the next.",
+      "value": "current window with boundary target",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_display_name_is_human_readable",
+      "name": "transition_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Action Boundary Detection",
+      "value": "Temporal Action Segmentation",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_process_short_is_human_readable",
+      "name": "transition_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "action changes -> boundary labels -> binary classifier",
+      "value": "Detect the local moment where the episode changes from one action segment to the next.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_research_name_is_human_readable",
+      "name": "transition_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Action Segmentation",
+      "value": "action changes -> boundary labels -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_input_short_is_human_readable",
+      "name": "transition_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current window with boundary target",
+      "value": "Detect whether the current window is near a boundary between actions.",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_output_short_is_human_readable",
+      "name": "transition_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "boundary or steady",
+      "value": "Action Boundary Detection",
       "raw_hits": []
     },
     {
-      "name": "transition_detection: public_field_plain_goal_is_human_readable",
+      "name": "transition_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Detect whether the current window is near a boundary between actions.",
+      "value": "boundary or steady",
       "raw_hits": []
     },
     {
@@ -422,45 +422,45 @@
       "observed": "next_action"
     },
     {
-      "name": "next_action: public_field_card_blurb_is_human_readable",
+      "name": "next_action: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Forecast the near-future action from the current observations only.",
+      "value": "current window at time t",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_display_name_is_human_readable",
+      "name": "next_action: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Next-Action Prediction",
+      "value": "Short-Horizon Intention Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_process_short_is_human_readable",
+      "name": "next_action: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current features -> future label shift -> classifier",
+      "value": "Forecast the near-future action from the current observations only.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_research_name_is_human_readable",
+      "name": "next_action: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Short-Horizon Intention Prediction",
+      "value": "current features -> future label shift -> classifier",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_input_short_is_human_readable",
+      "name": "next_action: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current window at time t",
+      "value": "Use the current window to guess the action that will happen shortly after it.",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_output_short_is_human_readable",
+      "name": "next_action: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "action at t+20 frames",
+      "value": "Next-Action Prediction",
       "raw_hits": []
     },
     {
-      "name": "next_action: public_field_plain_goal_is_human_readable",
+      "name": "next_action: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Use the current window to guess the action that will happen shortly after it.",
+      "value": "action at t+20 frames",
       "raw_hits": []
     },
     {
@@ -540,45 +540,45 @@
       "observed": "hand_trajectory_forecast"
     },
     {
-      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
+      "value": "current multimodal window",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Hand Trajectory Forecasting",
+      "value": "3D Hand Motion Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "current features -> future mocap target -> regression head",
+      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "3D Hand Motion Forecasting",
+      "value": "current features -> future mocap target -> regression head",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "current multimodal window",
+      "value": "Predict where the hands will move over the next few frames.",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "future hand-joint trajectory",
+      "value": "Hand Trajectory Forecasting",
       "raw_hits": []
     },
     {
-      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
+      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict where the hands will move over the next few frames.",
+      "value": "future hand-joint trajectory",
       "raw_hits": []
     },
     {
@@ -658,45 +658,45 @@
       "observed": "contact_prediction"
     },
     {
-      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
+      "name": "contact_prediction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
+      "value": "non-contact, non-caption features",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_display_name_is_human_readable",
+      "name": "contact_prediction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Contact State Prediction",
+      "value": "Human-Object Contact Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_process_short_is_human_readable",
+      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "feature filter -> contact target -> binary classifier",
+      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_research_name_is_human_readable",
+      "name": "contact_prediction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Human-Object Contact Prediction",
+      "value": "feature filter -> contact target -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_input_short_is_human_readable",
+      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "non-contact, non-caption features",
+      "value": "Predict whether the body or hand is in contact with something.",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_output_short_is_human_readable",
+      "name": "contact_prediction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "contact or no contact",
+      "value": "Contact State Prediction",
       "raw_hits": []
     },
     {
-      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
+      "name": "contact_prediction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict whether the body or hand is in contact with something.",
+      "value": "contact or no contact",
       "raw_hits": []
     },
     {
@@ -774,45 +774,45 @@
       "observed": "object_relevance"
     },
     {
-      "name": "object_relevance: public_field_card_blurb_is_human_readable",
+      "name": "object_relevance: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
+      "value": "non-caption multimodal features",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_display_name_is_human_readable",
+      "name": "object_relevance: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Object Relevance Prediction",
+      "value": "Object-Centric Interaction Recognition",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_process_short_is_human_readable",
+      "name": "object_relevance: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
+      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_research_name_is_human_readable",
+      "name": "object_relevance: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Object-Centric Interaction Recognition",
+      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_input_short_is_human_readable",
+      "name": "object_relevance: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "non-caption multimodal features",
+      "value": "Predict which objects matter in the current window.",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_output_short_is_human_readable",
+      "name": "object_relevance: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "relevant object set",
+      "value": "Object Relevance Prediction",
       "raw_hits": []
     },
     {
-      "name": "object_relevance: public_field_plain_goal_is_human_readable",
+      "name": "object_relevance: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict which objects matter in the current window.",
+      "value": "relevant object set",
       "raw_hits": []
     },
     {
@@ -892,45 +892,45 @@
       "observed": "caption_grounding"
     },
     {
-      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
+      "name": "caption_grounding: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Retrieve the matching time window for an annotation-derived text query.",
+      "value": "text-like query and candidate windows",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_display_name_is_human_readable",
+      "name": "caption_grounding: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Language Grounding",
+      "value": "Language-to-Moment Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_process_short_is_human_readable",
+      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "query features -> candidate index -> cosine ranker",
+      "value": "Retrieve the matching time window for an annotation-derived text query.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_research_name_is_human_readable",
+      "name": "caption_grounding: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Language-to-Moment Grounding",
+      "value": "query features -> candidate index -> cosine ranker",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_input_short_is_human_readable",
+      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "text-like query and candidate windows",
+      "value": "Given a text-like query from annotation, find the matching time window.",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_output_short_is_human_readable",
+      "name": "caption_grounding: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "ranked matching moments",
+      "value": "Language Grounding",
       "raw_hits": []
     },
     {
-      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
+      "name": "caption_grounding: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Given a text-like query from annotation, find the matching time window.",
+      "value": "ranked matching moments",
       "raw_hits": []
     },
     {
@@ -1008,45 +1008,45 @@
       "observed": "cross_modal_retrieval"
     },
     {
-      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
+      "value": "motion/IMU/pose query; depth/video candidates",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Retrieval",
+      "value": "Multimodal Representation Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "modality split -> projection -> nearest-neighbor ranker",
+      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Representation Retrieval",
+      "value": "modality split -> projection -> nearest-neighbor ranker",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion/IMU/pose query; depth/video candidates",
+      "value": "Use one group of modalities to retrieve the matching window from another group.",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "ranked visual windows",
+      "value": "Cross-Modal Retrieval",
       "raw_hits": []
     },
     {
-      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
+      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Use one group of modalities to retrieve the matching window from another group.",
+      "value": "ranked visual windows",
       "raw_hits": []
     },
     {
@@ -1126,45 +1126,45 @@
       "observed": "modality_reconstruction"
     },
     {
-      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
+      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
+      "value": "motion, IMU, and camera/pose features",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Reconstruction",
+      "value": "Modality Feature Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "source-target split -> scaler -> regression head",
+      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
+      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Modality Feature Reconstruction",
+      "value": "source-target split -> scaler -> regression head",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion, IMU, and camera/pose features",
+      "value": "Predict one modality feature block from other modality blocks.",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
+      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "reconstructed depth/video vector",
+      "value": "Cross-Modal Reconstruction",
       "raw_hits": []
     },
     {
-      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
+      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Predict one modality feature block from other modality blocks.",
+      "value": "reconstructed depth/video vector",
       "raw_hits": []
     },
     {
@@ -1244,45 +1244,45 @@
       "observed": "temporal_order"
     },
     {
-      "name": "temporal_order: public_field_card_blurb_is_human_readable",
+      "name": "temporal_order: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
+      "value": "two adjacent windows plus difference vector",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_display_name_is_human_readable",
+      "name": "temporal_order: public_field_research_name_is_human_readable",
       "status": "pass",
       "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_process_short_is_human_readable",
+      "name": "temporal_order: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "pair builder -> feature combiner -> binary classifier",
+      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_research_name_is_human_readable",
+      "name": "temporal_order: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Temporal Order Verification",
+      "value": "pair builder -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_input_short_is_human_readable",
+      "name": "temporal_order: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "two adjacent windows plus difference vector",
+      "value": "Tell whether two nearby windows are in the correct time order.",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_output_short_is_human_readable",
+      "name": "temporal_order: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "correct or reversed",
+      "value": "Temporal Order Verification",
       "raw_hits": []
     },
     {
-      "name": "temporal_order: public_field_plain_goal_is_human_readable",
+      "name": "temporal_order: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Tell whether two nearby windows are in the correct time order.",
+      "value": "correct or reversed",
       "raw_hits": []
     },
     {
@@ -1360,45 +1360,45 @@
       "observed": "misalignment_detection"
     },
     {
-      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
+      "name": "misalignment_detection: public_field_input_short_is_human_readable",
       "status": "pass",
-      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
+      "value": "motion-side and visual/depth-side feature groups",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_display_name_is_human_readable",
+      "name": "misalignment_detection: public_field_research_name_is_human_readable",
       "status": "pass",
-      "value": "Multimodal Synchronization Detection",
+      "value": "Cross-Modal Misalignment Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_process_short_is_human_readable",
+      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
       "status": "pass",
-      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
+      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_research_name_is_human_readable",
+      "name": "misalignment_detection: public_field_process_short_is_human_readable",
       "status": "pass",
-      "value": "Cross-Modal Misalignment Detection",
+      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_input_short_is_human_readable",
+      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
       "status": "pass",
-      "value": "motion-side and visual/depth-side feature groups",
+      "value": "Detect when modalities that should match are shifted out of sync.",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_output_short_is_human_readable",
+      "name": "misalignment_detection: public_field_display_name_is_human_readable",
       "status": "pass",
-      "value": "aligned or shifted",
+      "value": "Multimodal Synchronization Detection",
       "raw_hits": []
     },
     {
-      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
+      "name": "misalignment_detection: public_field_output_short_is_human_readable",
       "status": "pass",
-      "value": "Detect when modalities that should match are shifted out of sync.",
+      "value": "aligned or shifted",
       "raw_hits": []
     },
     {

docs/data/website_integrity.json

@@ -1,13 +1,13 @@
 {
   "status": "pass",
-  "generated_at_utc": "2026-06-02T16:20:59+00:00",
+  "generated_at_utc": "2026-06-02T17:31:49+00:00",
   "docs_root": "docs",
   "site_base": "/ropedia-xperience-10m-task-suite/",
   "summary": {
     "html_pages": 2,
-    "local_references": 96,
-    "external_reference_count": 77,
-    "json_files": 26,
+    "local_references": 99,
+    "external_reference_count": 80,
+    "json_files": 27,
     "image_assets_referenced": 19,
     "failure_count": 0
   },
@@ -30,7 +30,7 @@
       "name": "project_sections_are_assigned_to_tabs",
       "status": "pass",
       "reason": "Every major research section should be assigned to a tab group.",
-      "section_count": 20
+      "section_count": 21
     },
     {
       "name": "project_hash_router_preserves_deep_links",
@@ -52,8 +52,8 @@
       "name": "project_sections_are_labeled_tabpanels",
       "status": "pass",
       "reason": "Every tabbed research section should expose a labeled panel role.",
-      "panel_count": 24,
-      "labeled_panel_count": 20
+      "panel_count": 25,
+      "labeled_panel_count": 21
     },
     {
       "name": "project_tabs_update_selected_state",
@@ -74,8 +74,8 @@
       "name": "project_overview_precedes_progress_ledger",
       "status": "pass",
       "reason": "The project overview should appear before the deeper progress ledger.",
-      "overview_index": 57999,
-      "evidence_index": 67162
+      "overview_index": 60551,
+      "evidence_index": 73976
     },
     {
       "name": "project_status_links_json",
@@ -87,9 +87,9 @@
       "name": "evaluation_protocol_between_overview_and_progress",
       "status": "pass",
       "reason": "The evaluation protocol should appear before the deeper evidence ledger.",
-      "overview_index": 57999,
-      "protocol_index": 64565,
-      "evidence_index": 67162
+      "overview_index": 60551,
+      "protocol_index": 71379,
+      "evidence_index": 73976
     },
     {
       "name": "evaluation_protocol_links_json",
@@ -162,15 +162,15 @@
     },
     {
       "path": "index.html",
-      "id_count": 74,
-      "reference_count": 95,
+      "id_count": 75,
+      "reference_count": 98,
       "image_count": 22
     }
   ],
   "json_files": [
     {
       "path": "data/artifact_index.json",
-      "bytes": 26947,
+      "bytes": 27749,
       "top_level_type": "dict"
     },
     {
@@ -185,7 +185,7 @@
     },
     {
       "path": "data/evidence_contract.json",
-      "bytes": 11187,
+      "bytes": 11570,
       "top_level_type": "dict"
     },
     {
@@ -205,12 +205,12 @@
     },
     {
       "path": "data/modality_atlas.json",
-      "bytes": 3837,
+      "bytes": 3841,
       "top_level_type": "dict"
     },
     {
       "path": "data/project_brief.json",
-      "bytes": 2487,
+      "bytes": 2596,
       "top_level_type": "dict"
     },
     {
@@ -220,17 +220,17 @@
     },
     {
       "path": "data/project_packet.json",
-      "bytes": 7400,
+      "bytes": 7654,
       "top_level_type": "dict"
     },
     {
       "path": "data/project_status.json",
-      "bytes": 6768,
+      "bytes": 7344,
       "top_level_type": "dict"
     },
     {
       "path": "data/public_surface_qa.json",
-      "bytes": 5413,
+      "bytes": 5454,
       "top_level_type": "dict"
     },
     {
@@ -240,7 +240,7 @@
     },
     {
       "path": "data/quality_gates.json",
-      "bytes": 7544,
+      "bytes": 7528,
       "top_level_type": "dict"
     },
     {
@@ -255,7 +255,12 @@
     },
     {
       "path": "data/research_directions.json",
-      "bytes": 14412,
+      "bytes": 14414,
+      "top_level_type": "dict"
+    },
+    {
+      "path": "data/research_roadmap.json",
+      "bytes": 4590,
       "top_level_type": "dict"
     },
     {

docs/index.html

@@ -459,25 +459,26 @@
     .content-tab.active span { color: var(--green); }
     .tabbed-panel[hidden] { display: none; }
     #overview { order: 1; }
-    #reading-path { order: 2; }
-    #dataset-card { order: 3; }
-    #suite { order: 4; }
-    #pipeline { order: 5; }
-    #protocol { order: 6; }
-    #takeaways { order: 7; }
-    #models { order: 8; }
-    #neural { order: 9; }
-    #directions { order: 10; }
-    #extensions { order: 11; }
-    #architectures { order: 12; }
-    #walkthroughs { order: 13; }
-    #tasks { order: 14; }
-    #features { order: 15; }
-    #diagnostics { order: 16; }
-    #evidence { order: 17; }
-    #artifacts { order: 18; }
-    #omni-relay { order: 19; }
-    #run { order: 20; }
+    #roadmap { order: 2; }
+    #reading-path { order: 3; }
+    #dataset-card { order: 4; }
+    #suite { order: 5; }
+    #pipeline { order: 6; }
+    #protocol { order: 7; }
+    #takeaways { order: 8; }
+    #models { order: 9; }
+    #neural { order: 10; }
+    #directions { order: 11; }
+    #extensions { order: 12; }
+    #architectures { order: 13; }
+    #walkthroughs { order: 14; }
+    #tasks { order: 15; }
+    #features { order: 16; }
+    #diagnostics { order: 17; }
+    #evidence { order: 18; }
+    #artifacts { order: 19; }
+    #omni-relay { order: 20; }
+    #run { order: 21; }
     #suite { padding: 62px 0 76px; }
     #suite .wrap { width: min(1680px, calc(100% - 48px)); }
     #suite .section-head { max-width: var(--max); margin-inline: auto; }
@@ -763,6 +764,101 @@
     }
     .snapshot-actions a:hover { border-color: var(--green); color: var(--ink); }
 
+    .roadmap-grid {
+      display: grid;
+      grid-template-columns: repeat(5, minmax(0, 1fr));
+      gap: 14px;
+      align-items: stretch;
+    }
+    .roadmap-card {
+      position: relative;
+      border: 1px solid var(--line);
+      border-radius: var(--radius);
+      padding: 18px;
+      min-height: 330px;
+      background:
+        linear-gradient(180deg, rgba(164, 242, 127, 0.08), rgba(7, 18, 7, 0.92)),
+        var(--surface);
+      display: grid;
+      gap: 12px;
+      align-content: start;
+    }
+    .roadmap-card::before {
+      content: "";
+      position: absolute;
+      left: 18px;
+      right: 18px;
+      top: 0;
+      height: 2px;
+      background: linear-gradient(90deg, var(--green), rgba(122, 229, 195, 0.2));
+    }
+    .roadmap-card[data-status="active"] {
+      border-color: rgba(122, 229, 195, 0.42);
+      background:
+        linear-gradient(180deg, rgba(122, 229, 195, 0.11), rgba(7, 18, 7, 0.92)),
+        var(--surface);
+    }
+    .roadmap-card[data-status="next"] {
+      border-color: rgba(216, 244, 165, 0.36);
+      background:
+        linear-gradient(180deg, rgba(216, 244, 165, 0.09), rgba(7, 18, 7, 0.92)),
+        var(--surface);
+    }
+    .roadmap-status {
+      width: fit-content;
+      border: 1px solid var(--soft-line);
+      border-radius: 999px;
+      padding: 5px 8px;
+      color: var(--green);
+      background: rgba(2, 5, 2, 0.5);
+      font-family: var(--font-mono);
+      font-size: 11px;
+      font-weight: 760;
+      text-transform: uppercase;
+      letter-spacing: 0.06em;
+    }
+    .roadmap-card h3 {
+      margin: 0;
+      color: var(--ink);
+      font-size: 18px;
+      line-height: 1.18;
+    }
+    .roadmap-card p {
+      margin: 0;
+      color: var(--muted);
+      font-size: 13px;
+      line-height: 1.55;
+    }
+    .roadmap-meta {
+      display: grid;
+      gap: 8px;
+      padding-top: 10px;
+      border-top: 1px solid var(--soft-line);
+    }
+    .roadmap-meta strong {
+      display: block;
+      color: #dce8d7;
+      font-size: 12px;
+      line-height: 1.2;
+    }
+    .roadmap-links {
+      display: flex;
+      flex-wrap: wrap;
+      gap: 8px;
+      margin-top: 18px;
+    }
+    .roadmap-links a {
+      border: 1px solid var(--soft-line);
+      border-radius: 6px;
+      color: var(--cyan);
+      font-size: 13px;
+      font-weight: 760;
+      padding: 9px 10px;
+      text-decoration: none;
+      background: rgba(2, 5, 2, 0.42);
+    }
+    .roadmap-links a:hover { border-color: var(--green); color: var(--ink); }
+
     .brief-panel {
       border: 1px solid var(--line);
       border-radius: var(--radius);
@@ -1662,7 +1758,7 @@
       .hero-inner { min-height: 0; }
       .project-tabs { grid-template-columns: repeat(3, minmax(0, 1fr)); }
       .section-tabs { padding-top: 10px; }
-      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .brief-grid, .boundary-strip, .callout-row, .direction-grid, .baseline-strip, .extension-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
+      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .roadmap-grid, .brief-grid, .boundary-strip, .callout-row, .direction-grid, .baseline-strip, .extension-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
       .brief-panel-head { grid-template-columns: 1fr; align-items: start; }
       .task-player { grid-template-columns: 1fr; }
       .task-selector { grid-template-columns: repeat(3, minmax(0, 1fr)); }
@@ -1728,7 +1824,7 @@
         min-height: 52px;
       }
       main > section { scroll-margin-top: 112px; }
-      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .brief-grid, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .atlas-rows { grid-template-columns: 1fr; }
+      .hero-stats, .models, .task-grid, .artifact-grid, .evidence-grid, .reading-grid, .snapshot-grid, .roadmap-grid, .brief-grid, .boundary-strip, .chart-grid, .callout-row, .direction-grid, .baseline-strip, .extension-grid, .walk-flow, .flow-steps, .storyboard-steps, .task-selector, .atlas-rows { grid-template-columns: 1fr; }
       .brief-panel { padding: 18px; }
       .artifact-group { padding: 16px; }
       .modality-atlas-panel { padding: 14px; }
@@ -1833,7 +1929,7 @@
   <main id="main" class="tabbed" data-active-tab="start">
     <div class="project-tabs-shell" aria-label="Project section tabs">
       <div class="wrap project-tabs" role="tablist" aria-label="Project sections">
-        <button type="button" class="project-tab active" id="tab-start" role="tab" data-tab-key="start" data-default-section="overview" aria-selected="true" aria-pressed="true" aria-controls="overview reading-path">
+        <button type="button" class="project-tab active" id="tab-start" role="tab" data-tab-key="start" data-default-section="overview" aria-selected="true" aria-pressed="true" aria-controls="overview roadmap reading-path">
           <strong>Start</strong>
           <span>project overview and roadmap</span>
         </button>
@@ -1892,6 +1988,7 @@
           <div class="brief-actions">
             <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_BRIEF.md">Read the brief</a>
             <a href="data/project_brief.json">project_brief.json</a>
+            <a href="#roadmap">Research roadmap</a>
             <a href="#reading-path">Reader path</a>
             <a href="#takeaways">Current takeaways</a>
           </div>
@@ -1963,12 +2060,75 @@
           <a href="data/project_brief.json">Brief JSON</a>
           <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_STATUS.md">Project status</a>
           <a href="data/project_status.json">Project status JSON</a>
+          <a href="data/research_roadmap.json">Research roadmap JSON</a>
           <a href="data/project_packet.json">Project packet JSON</a>
           <a href="data/live_publication_status.json">live_publication_status.json</a>
         </div>
       </div>
     </section>
 
+    <section id="roadmap" data-project-tab="start" role="tabpanel" aria-labelledby="tab-start" tabindex="-1">
+      <div class="wrap">
+        <div class="section-head">
+          <h2>Research roadmap.</h2>
+          <p>The project path is staged from the current public-sample task lab to multi-episode data staging, held-out Qwen3-Omni fine-tuning, robustness runs, and larger foundation/world-model extensions.</p>
+        </div>
+        <div class="roadmap-grid" aria-label="Research roadmap stages">
+          <article class="roadmap-card" data-status="implemented">
+            <span class="roadmap-status">implemented</span>
+            <h3>Public-Sample Task Lab</h3>
+            <p>One public episode is converted into aligned windows, task contracts, minimal baselines, neural heads, walkthroughs, and figures.</p>
+            <div class="roadmap-meta">
+              <strong>Entry</strong><p>Public Xperience-10M sample episode available.</p>
+              <strong>Evidence</strong><p>Status, protocol, takeaways, summary metrics, and episode-task outputs.</p>
+            </div>
+          </article>
+          <article class="roadmap-card" data-status="active">
+            <span class="roadmap-status">active</span>
+            <h3>Multi-Episode Data Staging</h3>
+            <p>Stage official gated episodes while preserving episode-level separation and recording missing-view coverage.</p>
+            <div class="roadmap-meta">
+              <strong>Entry</strong><p>Gated data access and enough storage for selected episodes.</p>
+              <strong>Evidence</strong><p>Data access status, source discovery, and selected episode manifests.</p>
+            </div>
+          </article>
+          <article class="roadmap-card" data-status="next">
+            <span class="roadmap-status">next</span>
+            <h3>32-Episode Qwen3-Omni LoRA Pilot</h3>
+            <p>Train lightweight adapters and evaluate on held-out episodes with committed predictions, metrics, and run reports.</p>
+            <div class="roadmap-meta">
+              <strong>Entry</strong><p>At least 32 valid staged episodes with no train/test episode leakage.</p>
+              <strong>Evidence</strong><p>Dataset manifest, training metadata, progress logs, metrics, and predictions.</p>
+            </div>
+          </article>
+          <article class="roadmap-card" data-status="planned">
+            <span class="roadmap-status">planned</span>
+            <h3>64-128 Episode Robustness Run</h3>
+            <p>Test whether pilot conclusions survive broader sessions, missing modalities, and stronger ablations.</p>
+            <div class="roadmap-meta">
+              <strong>Entry</strong><p>32-episode pilot trains and evaluates cleanly.</p>
+              <strong>Evidence</strong><p>Metrics by session, task, modality, ablation, and failure type.</p>
+            </div>
+          </article>
+          <article class="roadmap-card" data-status="planned">
+            <span class="roadmap-status">planned</span>
+            <h3>Foundation and World-Model Extensions</h3>
+            <p>Extend toward audio-visible alignment, reconstruction, SLAM/world modeling, policy-style next action, and affordance reasoning.</p>
+            <div class="roadmap-meta">
+              <strong>Entry</strong><p>Enough multi-episode data and compute budget for larger multimodal objectives.</p>
+              <strong>Evidence</strong><p>Task-specific held-out evaluations, qualitative inspection, and updated model cards.</p>
+            </div>
+          </article>
+        </div>
+        <div class="roadmap-links">
+          <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/RESEARCH_ROADMAP.md">RESEARCH_ROADMAP.md</a>
+          <a href="data/research_roadmap.json">research_roadmap.json</a>
+          <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">data status</a>
+          <a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/PROJECT_STATUS.md">project status</a>
+        </div>
+      </div>
+    </section>
+
     <section id="protocol" data-project-tab="method" role="tabpanel" aria-labelledby="tab-method" tabindex="-1">
       <div class="wrap">
         <div class="section-head">
@@ -2264,12 +2424,12 @@
         <img class="pipeline-image" src="assets/pipeline_diagram.png?v=xperience10m-nn" alt="Verified Xperience-10M multimodal pipeline diagram">
         <div class="callout-row">
           <div class="callout">
-            <h3>What this project proves</h3>
+            <h3>What this project enables</h3>
             <p>It demonstrates the full development loop: reading Xperience-10M sample data, aligning modalities, converting them into model-ready windows, defining meaningful tasks, producing metrics, and packaging artifacts for continued research.</p>
           </div>
           <div class="callout">
-            <h3>What it does not prove</h3>
-            <p>It is not a general embodied-intelligence result. A single episode cannot support cross-environment generalization; that requires many episodes and held-out episode splits.</p>
+            <h3>What still needs more data</h3>
+            <p>General embodied-intelligence model quality requires many episodes and held-out episode splits; the public sample is the development harness for that next stage.</p>
           </div>
         </div>
       </div>
@@ -2620,7 +2780,7 @@
             </div>
             <div class="artifact-grid">
               <article class="artifact primary-artifact"><div><h3>Project scope</h3><p>Connects implemented single-episode artifacts, setup-stage Omni work, pending data access, and later multi-episode milestones.</p></div><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/EVIDENCE_CONTRACT.md">EVIDENCE_CONTRACT.md</a></article>
-              <article class="artifact"><h3>Multi-episode access status</h3><p>Public data-access path and selected 32-episode pilot plan, without private infrastructure details.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md">MULTI_EPISODE_ACCESS_STATUS.md</a></article>
+              <article class="artifact"><h3>Multi-episode access status</h3><p>Public data-access path, selected 32-episode pilot plan, and data requirements.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md">MULTI_EPISODE_ACCESS_STATUS.md</a></article>
               <article class="artifact"><h3>Qwen3-Omni setup artifacts</h3><p>Manifests, metadata, metrics, and progress logs from the current setup run.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/episode_manifest.json">episode_manifest.json</a></article>
               <article class="artifact"><h3>32-episode data requirement</h3><p>The data status file defines what must be available before full pilot training and held-out metrics.</p><a href="https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite/blob/main/results/omni_finetune/DATA_ACCESS_STATUS.md">DATA_ACCESS_STATUS.md</a></article>
             </div>
@@ -2743,6 +2903,7 @@ python scripts/validate_publication_package.py</code></pre>
     const sectionTabs = document.getElementById("sectionTabs");
     const sectionConfig = [
       { id: "overview", label: "Project Overview" },
+      { id: "roadmap", label: "Roadmap" },
       { id: "reading-path", label: "Reading Path" },
       { id: "dataset-card", label: "Dataset Card" },
       { id: "suite", label: "12-Task Map" },

docs/sitemap.xml

@@ -18,6 +18,12 @@
     <changefreq>weekly</changefreq>
     <priority>0.7</priority>
   </url>
+  <url>
+    <loc>https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/research_roadmap.json</loc>
+    <lastmod>2026-06-03</lastmod>
+    <changefreq>weekly</changefreq>
+    <priority>0.7</priority>
+  </url>
   <url>
     <loc>https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/publication_audit.json</loc>
     <lastmod>2026-06-01</lastmod>

results/episode_task_suite/research_directions/research_direction_summary.md

@@ -31,7 +31,7 @@ It maps the current Xperience-10M sample tasks to the four Ropedia research dire
 | `contact_prediction` | A | A:direct, C:proxy | 1.0000 macro-F1 | 1.0000 macro-F1 | Both baselines are tied. The public sample is degenerate for this target because one class dominates. |
 | `object_relevance` | C | C:direct, A:proxy, D:proxy | 0.1839 micro-F1 | 0.1798 micro-F1 | Minimal baseline is stronger. Object labels are language-derived and sparse in one episode. |
 | `caption_grounding` | C | C:direct, D:proxy | 0.0172 MRR | 0.0178 MRR | Neural MLP is stronger. Bag-of-objects language features are too weak for rich grounding. |
-| `cross_modal_retrieval` | C | C:diagnostic, B:proxy, D:proxy | 0.2634 MRR | 0.1530 MRR | Minimal baseline is stronger. Retrieval proves alignment signal, not geometric reconstruction. |
+| `cross_modal_retrieval` | C | C:diagnostic, B:proxy, D:proxy | 0.2634 MRR | 0.1530 MRR | Minimal baseline is stronger. Retrieval shows an alignment signal, not geometric reconstruction. |
 | `modality_reconstruction` | B | B:proxy, D:proxy | -0.0160 R2 | -0.0102 R2 | Neural MLP is stronger. Feature-vector reconstruction is not pixel, depth-map, mesh, NeRF, or Gaussian reconstruction. |
 | `temporal_order` | C | C:diagnostic, D:diagnostic | 0.5487 F1 | 0.8718 F1 | Neural MLP is stronger. Only local adjacent ordering, not long-horizon causal modeling. |
 | `misalignment_detection` | C | C:diagnostic, B:diagnostic, D:diagnostic | 0.4866 F1 | 0.7335 F1 | Neural MLP is stronger. Synthetic shifts diagnose alignment but do not solve calibration or mapping. |

results/episode_task_suite/research_directions/research_direction_task_map.csv

@@ -16,9 +16,9 @@ A,Human Modeling & Motion Understanding,object_relevance,Relevant object set pre
 D,Scene Reconstruction & World Modeling,object_relevance,Relevant object set prediction,supervised,proxy,C,micro-F1,0.183930300097,0.179758308157,minimal,Connects egocentric activity to manipulated objects and early object-centric state.,Object labels are language-derived and sparse in one episode.
 C,Egocentric Vision & Interaction,caption_grounding,Caption-to-window grounding,retrieval,direct,C,MRR,0.0171839460838,0.0178111116104,neural_mlp,Grounds language annotation into egocentric sensor time and task state.,Bag-of-objects language features are too weak for rich grounding.
 D,Scene Reconstruction & World Modeling,caption_grounding,Caption-to-window grounding,retrieval,proxy,C,MRR,0.0171839460838,0.0178111116104,neural_mlp,Grounds language annotation into egocentric sensor time and task state.,Bag-of-objects language features are too weak for rich grounding.
-C,Egocentric Vision & Interaction,cross_modal_retrieval,Cross-modal retrieval,retrieval,diagnostic,C,MRR,0.263359840066,0.15300700222,minimal,"Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.","Retrieval proves alignment signal, not geometric reconstruction."
-B,3D/4D Reconstruction & Neural Rendering,cross_modal_retrieval,Cross-modal retrieval,retrieval,proxy,C,MRR,0.263359840066,0.15300700222,minimal,"Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.","Retrieval proves alignment signal, not geometric reconstruction."
-D,Scene Reconstruction & World Modeling,cross_modal_retrieval,Cross-modal retrieval,retrieval,proxy,C,MRR,0.263359840066,0.15300700222,minimal,"Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.","Retrieval proves alignment signal, not geometric reconstruction."
+C,Egocentric Vision & Interaction,cross_modal_retrieval,Cross-modal retrieval,retrieval,diagnostic,C,MRR,0.263359840066,0.15300700222,minimal,"Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.","Retrieval shows an alignment signal, not geometric reconstruction."
+B,3D/4D Reconstruction & Neural Rendering,cross_modal_retrieval,Cross-modal retrieval,retrieval,proxy,C,MRR,0.263359840066,0.15300700222,minimal,"Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.","Retrieval shows an alignment signal, not geometric reconstruction."
+D,Scene Reconstruction & World Modeling,cross_modal_retrieval,Cross-modal retrieval,retrieval,proxy,C,MRR,0.263359840066,0.15300700222,minimal,"Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.","Retrieval shows an alignment signal, not geometric reconstruction."
 B,3D/4D Reconstruction & Neural Rendering,modality_reconstruction,Modality reconstruction,forecast,proxy,B,R2,-0.0160228467711,-0.0101981718914,neural_mlp,Predicts visual/depth state from non-target sensors as a weak reconstruction/world-model objective.,"Feature-vector reconstruction is not pixel, depth-map, mesh, NeRF, or Gaussian reconstruction."
 D,Scene Reconstruction & World Modeling,modality_reconstruction,Modality reconstruction,forecast,proxy,B,R2,-0.0160228467711,-0.0101981718914,neural_mlp,Predicts visual/depth state from non-target sensors as a weak reconstruction/world-model objective.,"Feature-vector reconstruction is not pixel, depth-map, mesh, NeRF, or Gaussian reconstruction."
 C,Egocentric Vision & Interaction,temporal_order,Temporal order verification,diagnostic,diagnostic,C,F1,0.548736462094,0.871794871795,neural_mlp,Checks whether features encode local time direction and task progression.,"Only local adjacent ordering, not long-horizon causal modeling."

results/episode_task_suite/research_directions/research_direction_taxonomy.json

@@ -306,7 +306,7 @@
         "D": "proxy"
       },
       "why": "Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.",
-      "current_limit": "Retrieval proves alignment signal, not geometric reconstruction.",
+      "current_limit": "Retrieval shows an alignment signal, not geometric reconstruction.",
       "metric": {
         "key": "mrr",
         "name": "MRR",

results/omni_finetune/DATA_ACCESS_STATUS.md

@@ -46,4 +46,3 @@ scale of Xperience-10M.
 - `results/omni_finetune/source_discovery.json`
 - `scripts/omni/discover_xperience10m_sources.py`
 - `scripts/omni/build_episode_manifest.py`
-

results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md

@@ -3,9 +3,8 @@
 Current status: access to the gated full `ropedia-ai/xperience-10m` dataset is
 still pending approval from the dataset authors.
 
-This file records only public-facing readiness facts. It intentionally excludes
-machine aliases, private paths, SSH hosts, token locations, and local server
-details.
+This file records the public data-access status and pilot requirements. It does
+not include local-machine aliases, private paths, SSH hosts, or token locations.
 
 ## Selection Plan
 

scripts/build_artifact_index.py

@@ -23,7 +23,7 @@ ARTIFACTS = [
         "path": "PROJECT_BRIEF.md",
         "kind": "project_path",
         "surface": "repo_hf",
-        "proves": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
+        "shows": "Gives first-pass readers a concise project shape before the detailed artifact trail.",
     },
     {
         "id": "project_brief_json",
@@ -31,7 +31,7 @@ ARTIFACTS = [
         "path": "docs/data/project_brief.json",
         "kind": "project_path",
         "surface": "website_hf",
-        "proves": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
+        "shows": "Machine-readable first-reader project brief for the website and Hugging Face mirrors.",
     },
     {
         "id": "project_status",
@@ -39,7 +39,7 @@ ARTIFACTS = [
         "path": "PROJECT_STATUS.md",
         "kind": "project_path",
         "surface": "repo_hf",
-        "proves": "Gives a compact current-state table for first-pass readers.",
+        "shows": "Gives a compact current-state table for first-pass readers.",
     },
     {
         "id": "project_status_json",
@@ -47,7 +47,23 @@ ARTIFACTS = [
         "path": "docs/data/project_status.json",
         "kind": "project_path",
         "surface": "website_hf",
-        "proves": "Machine-readable copy of the current project status for website and HF mirrors.",
+        "shows": "Machine-readable copy of the current project status for website and HF mirrors.",
+    },
+    {
+        "id": "research_roadmap",
+        "title": "Research roadmap",
+        "path": "RESEARCH_ROADMAP.md",
+        "kind": "project_path",
+        "surface": "repo_hf",
+        "shows": "Defines the staged path from public-sample task development to multi-episode held-out evaluation and larger omni-model extensions.",
+    },
+    {
+        "id": "research_roadmap_json",
+        "title": "Research roadmap JSON",
+        "path": "docs/data/research_roadmap.json",
+        "kind": "project_path",
+        "surface": "website_hf",
+        "shows": "Machine-readable staged roadmap for the website and Hugging Face mirrors.",
     },
     {
         "id": "evidence_contract",
@@ -55,7 +71,7 @@ ARTIFACTS = [
         "path": "EVIDENCE_CONTRACT.md",
         "kind": "project_scope",
         "surface": "repo",
-        "proves": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
+        "shows": "Defines the implemented scope, setup-stage items, and multi-episode prerequisites.",
     },
     {
         "id": "project_packet",
@@ -63,7 +79,7 @@ ARTIFACTS = [
         "path": "docs/data/project_packet.json",
         "kind": "project_path",
         "surface": "website_hf",
-        "proves": "Gives a short project path with scope status and public surfaces.",
+        "shows": "Gives a short project path with scope status and public surfaces.",
     },
     {
         "id": "artifact_guide",
@@ -71,7 +87,7 @@ ARTIFACTS = [
         "path": "ARTIFACT_GUIDE.md",
         "kind": "project_path",
         "surface": "repo_hf",
-        "proves": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
+        "shows": "Gives the human-readable map from project scope to data, tasks, platform mirrors, and scale-up status.",
     },
     {
         "id": "official_dataset_card_alignment",
@@ -79,7 +95,7 @@ ARTIFACTS = [
         "path": "XPERIENCE10M_DATASET_CARD_ALIGNMENT.md",
         "kind": "source_alignment",
         "surface": "repo_hf",
-        "proves": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
+        "shows": "Aligns public dataset wording with the official gated Xperience-10M card, public sample card, HF API metadata, and current project coverage.",
     },
     {
         "id": "official_dataset_card_alignment_json",
@@ -87,7 +103,7 @@ ARTIFACTS = [
         "path": "docs/data/xperience10m_dataset_card_alignment.json",
         "kind": "source_alignment",
         "surface": "website_hf",
-        "proves": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
+        "shows": "Machine-readable upstream dataset-card, sample-card, and HF API alignment facts for website and HF mirrors.",
     },
     {
         "id": "source_alignment",
@@ -95,7 +111,7 @@ ARTIFACTS = [
         "path": "SOURCE_ALIGNMENT_AUDIT.md",
         "kind": "source_alignment",
         "surface": "repo_hf",
-        "proves": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
+        "shows": "Summarizes the pass/fail check for full-dataset facts, sample-card facts, API-listing notes, and project coverage.",
     },
     {
         "id": "source_alignment_json",
@@ -103,7 +119,7 @@ ARTIFACTS = [
         "path": "docs/data/source_alignment_audit.json",
         "kind": "source_alignment",
         "surface": "website_hf",
-        "proves": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
+        "shows": "Machine-readable source-alignment pass/fail check for repo, website, and HF surfaces.",
     },
     {
         "id": "source_alignment_validator",
@@ -111,7 +127,7 @@ ARTIFACTS = [
         "path": "scripts/validate_source_alignment.py",
         "kind": "source_alignment",
         "surface": "repo_hf",
-        "proves": "Regenerates the source-alignment report from committed facts and public card text.",
+        "shows": "Regenerates the source-alignment report from committed facts and public card text.",
     },
     {
         "id": "hf_publisher",
@@ -119,7 +135,7 @@ ARTIFACTS = [
         "path": "scripts/publish_hf_bundles.py",
         "kind": "publication_workflow",
         "surface": "repo_hf",
-        "proves": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
+        "shows": "Publishes prepared Space, artifact dataset, and model bundles, including an explicit model-binary upload batch.",
     },
     {
         "id": "evaluation_protocol",
@@ -127,7 +143,7 @@ ARTIFACTS = [
         "path": "EVALUATION_PROTOCOL.md",
         "kind": "evaluation_protocol",
         "surface": "repo_hf",
-        "proves": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
+        "shows": "Defines the window unit, chronological split, task metrics, leakage controls, and current limitations.",
     },
     {
         "id": "evaluation_protocol_json",
@@ -135,7 +151,7 @@ ARTIFACTS = [
         "path": "docs/data/evaluation_protocol.json",
         "kind": "evaluation_protocol",
         "surface": "website_hf",
-        "proves": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
+        "shows": "Machine-readable protocol generated from committed task metrics for website and HF mirrors.",
     },
     {
         "id": "evaluation_protocol_builder",
@@ -143,7 +159,7 @@ ARTIFACTS = [
         "path": "scripts/build_evaluation_protocol.py",
         "kind": "evaluation_protocol",
         "surface": "repo_hf",
-        "proves": "Regenerates the protocol from committed summary metrics and task artifacts.",
+        "shows": "Regenerates the protocol from committed summary metrics and task artifacts.",
     },
     {
         "id": "research_takeaways",
@@ -151,7 +167,7 @@ ARTIFACTS = [
         "path": "RESEARCH_TAKEAWAYS.md",
         "kind": "result_interpretation",
         "surface": "repo_hf",
-        "proves": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
+        "shows": "Summarizes the main research lessons from committed metrics and identifies which experiments need held-out episodes.",
     },
     {
         "id": "research_takeaways_json",
@@ -159,7 +175,7 @@ ARTIFACTS = [
         "path": "docs/data/research_takeaways.json",
         "kind": "result_interpretation",
         "surface": "website_hf",
-        "proves": "Machine-readable result interpretation for the website, HF cards, and mirror checks.",
+        "shows": "Machine-readable result interpretation for the website, HF cards, and mirror checks.",
     },
     {
         "id": "research_takeaways_builder",
@@ -167,7 +183,7 @@ ARTIFACTS = [
         "path": "scripts/build_research_takeaways.py",
         "kind": "result_interpretation",
         "surface": "repo_hf",
-        "proves": "Regenerates the research takeaways from committed summary metrics and task result artifacts.",
+        "shows": "Regenerates the research takeaways from committed summary metrics and task result artifacts.",
     },
     {
         "id": "figure_index",
@@ -175,7 +191,7 @@ ARTIFACTS = [
         "path": "FIGURE_INDEX.md",
         "kind": "visual_evidence",
         "surface": "repo_hf",
-        "proves": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
+        "shows": "Catalogs public figures, charts, modality thumbnails, dimensions, hashes, roles, and source scripts.",
     },
     {
         "id": "figure_index_json",
@@ -183,7 +199,7 @@ ARTIFACTS = [
         "path": "docs/data/figure_index.json",
         "kind": "visual_evidence",
         "surface": "website_hf",
-        "proves": "Machine-readable visual asset index for website and Hugging Face mirrors.",
+        "shows": "Machine-readable visual asset index for website and Hugging Face mirrors.",
     },
     {
         "id": "figure_index_builder",
@@ -191,7 +207,7 @@ ARTIFACTS = [
         "path": "scripts/build_figure_index.py",
         "kind": "visual_evidence",
         "surface": "repo_hf",
-        "proves": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
+        "shows": "Regenerates visual-asset hashes, dimensions, and source-script provenance.",
     },
     {
         "id": "brand_assets_json",
@@ -199,7 +215,7 @@ ARTIFACTS = [
         "path": "docs/data/brand_assets.json",
         "kind": "visual_evidence",
         "surface": "website_hf",
-        "proves": "Machine-readable manifest for the generated logo system, favicon, social card, dimensions, hashes, and usage roles.",
+        "shows": "Machine-readable manifest for the generated logo system, favicon, social card, dimensions, hashes, and usage roles.",
     },
     {
         "id": "brand_logo_social_card",
@@ -207,7 +223,7 @@ ARTIFACTS = [
         "path": "docs/assets/brand/xperience10m-logo-social-card.png",
         "kind": "visual_evidence",
         "surface": "website_hf",
-        "proves": "Provides the project logo card used in README, Hugging Face cards, and social previews.",
+        "shows": "Provides the project logo card used in README, Hugging Face cards, and social previews.",
     },
     {
         "id": "brand_asset_builder",
@@ -215,7 +231,7 @@ ARTIFACTS = [
         "path": "scripts/build_brand_assets.py",
         "kind": "visual_evidence",
         "surface": "repo_hf",
-        "proves": "Regenerates logo derivatives, favicon variants, app icons, and the Open Graph social card from the generated logo mark.",
+        "shows": "Regenerates logo derivatives, favicon variants, app icons, and the Open Graph social card from the generated logo mark.",
     },
     {
         "id": "quality_gates",
@@ -223,7 +239,7 @@ ARTIFACTS = [
         "path": "QUALITY_GATES.md",
         "kind": "quality_gate",
         "surface": "repo_hf",
-        "proves": "Lists the automated and post-publish checks used to keep the release current.",
+        "shows": "Lists the automated and post-publish checks used to keep the release current.",
     },
     {
         "id": "quality_gate_manifest",
@@ -231,7 +247,7 @@ ARTIFACTS = [
         "path": "docs/data/quality_gates.json",
         "kind": "quality_gate",
         "surface": "website_hf",
-        "proves": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
+        "shows": "Machine-readable release-check summary for validators, mirrors, and public project surfaces.",
     },
     {
         "id": "public_surface_qa",
@@ -239,7 +255,7 @@ ARTIFACTS = [
         "path": "PUBLIC_SURFACE_QA.md",
         "kind": "quality_gate",
         "surface": "repo_hf",
-        "proves": "Keeps the repo, website, and Hugging Face cards aligned as one coherent research project surface.",
+        "shows": "Keeps the repo, website, and Hugging Face cards aligned as one cohesive research project surface.",
     },
     {
         "id": "public_surface_qa_json",
@@ -248,7 +264,7 @@ ARTIFACTS = [
         "kind": "quality_gate",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
+        "shows": "Machine-readable report for SEO/social metadata, accessible tab semantics, public links, project links, and reader-facing copy.",
     },
     {
         "id": "public_surface_qa_builder",
@@ -256,7 +272,7 @@ ARTIFACTS = [
         "path": "scripts/build_public_surface_qa.py",
         "kind": "quality_gate",
         "surface": "repo_hf",
-        "proves": "Regenerates the public project-surface report before release.",
+        "shows": "Regenerates the public project-surface report before release.",
     },
     {
         "id": "task_surface_integrity",
@@ -265,7 +281,7 @@ ARTIFACTS = [
         "kind": "quality_gate",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Confirms the public 12-task cards use human-readable research names, representative modality thumbnails, and the interactive walkthrough/player JSON contract.",
+        "shows": "Confirms the public 12-task cards use human-readable research names, representative modality thumbnails, and the interactive walkthrough/player JSON contract.",
     },
     {
         "id": "task_surface_validator",
@@ -273,7 +289,7 @@ ARTIFACTS = [
         "path": "scripts/validate_task_surface.py",
         "kind": "quality_gate",
         "surface": "repo_hf",
-        "proves": "Regenerates the task-surface integrity report and fails if task cards expose raw artifact ids or lose the interactive player wiring.",
+        "shows": "Regenerates the task-surface integrity report and fails if task cards expose raw artifact ids or lose the interactive player wiring.",
     },
     {
         "id": "live_publication_status",
@@ -282,7 +298,7 @@ ARTIFACTS = [
         "kind": "quality_gate",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Records the last live GitHub/HF URL verification after upload.",
+        "shows": "Records the last live GitHub/HF URL verification after upload.",
     },
     {
         "id": "live_publication_verifier",
@@ -290,7 +306,7 @@ ARTIFACTS = [
         "path": "scripts/verify_live_publication.py",
         "kind": "quality_gate",
         "surface": "repo",
-        "proves": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
+        "shows": "Fetches the published GitHub/HF URLs and compares live hashes and public-card markers against the release assets.",
     },
     {
         "id": "reproducibility_contract",
@@ -298,7 +314,7 @@ ARTIFACTS = [
         "path": "REPRODUCIBILITY.md",
         "kind": "reproducibility",
         "surface": "repo_hf",
-        "proves": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
+        "shows": "Defines public reproduction commands, expected outputs, and non-reproducible scale-up boundaries.",
     },
     {
         "id": "reproducibility_matrix",
@@ -306,7 +322,7 @@ ARTIFACTS = [
         "path": "docs/data/reproducibility_matrix.json",
         "kind": "reproducibility",
         "surface": "website_hf",
-        "proves": "Machine-readable reproduction steps with expected artifacts and public boundaries.",
+        "shows": "Machine-readable reproduction steps with expected artifacts and public boundaries.",
     },
     {
         "id": "artifact_index_builder",
@@ -314,7 +330,7 @@ ARTIFACTS = [
         "path": "scripts/build_artifact_index.py",
         "kind": "project_path",
         "surface": "repo_hf",
-        "proves": "Generates the selective proof-artifact catalog from local files.",
+        "shows": "Generates the selective artifact catalog from local files.",
     },
     {
         "id": "publication_audit",
@@ -323,7 +339,7 @@ ARTIFACTS = [
         "kind": "publication_package_check",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
+        "shows": "Confirms public bundles exclude raw data, caches, heavy archives, and token strings.",
     },
     {
         "id": "scale_up_status_check",
@@ -332,7 +348,7 @@ ARTIFACTS = [
         "kind": "scale_up_status",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Records historical 32ep setup paths separately from completed held-out-episode results.",
+        "shows": "Records historical 32ep setup paths separately from completed held-out-episode results.",
     },
     {
         "id": "mirror_parity",
@@ -341,7 +357,7 @@ ARTIFACTS = [
         "kind": "mirror_parity",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
+        "shows": "Confirms prepared GitHub/HF Space/artifact/model mirrors share the same critical data, figure, website HTML, and validator files.",
     },
     {
         "id": "website_integrity",
@@ -350,7 +366,7 @@ ARTIFACTS = [
         "kind": "integrity_report",
         "surface": "website_hf",
         "volatile": True,
-        "proves": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
+        "shows": "Confirms local website links, anchors, JSON data files, and referenced images resolve.",
     },
     {
         "id": "project_manifest",
@@ -358,7 +374,7 @@ ARTIFACTS = [
         "path": "docs/data/project_manifest.json",
         "kind": "metadata",
         "surface": "website_hf",
-        "proves": "Lists public URLs, upstream sources, and machine-readable project metadata.",
+        "shows": "Lists public URLs, upstream sources, and machine-readable project metadata.",
     },
     {
         "id": "task_summary",
@@ -366,7 +382,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/summary_report.json",
         "kind": "metrics_source",
         "surface": "repo_hf",
-        "proves": "Stores the task definitions, splits, feature dimension, and minimal/neural metrics.",
+        "shows": "Stores the task definitions, splits, feature dimension, and minimal/neural metrics.",
     },
     {
         "id": "website_metrics_bundle",
@@ -374,7 +390,7 @@ ARTIFACTS = [
         "path": "docs/data/summary_metrics.json",
         "kind": "website_data",
         "surface": "website_hf",
-        "proves": "Mirrors task metrics for the static dashboard.",
+        "shows": "Mirrors task metrics for the static dashboard.",
     },
     {
         "id": "feature_manifest",
@@ -382,7 +398,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/feature_manifest.json",
         "kind": "data_contract",
         "surface": "repo_hf",
-        "proves": "Maps the 8,378-dimensional window vector back to source feature blocks.",
+        "shows": "Maps the 8,378-dimensional window vector back to source feature blocks.",
     },
     {
         "id": "available_modalities",
@@ -390,7 +406,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/available_modalities.json",
         "kind": "data_contract",
         "surface": "repo_hf",
-        "proves": "Documents which sample modalities entered the current extracted feature contract.",
+        "shows": "Documents which sample modalities entered the current extracted feature contract.",
     },
     {
         "id": "windows_table",
@@ -398,7 +414,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/windows.csv",
         "kind": "data_contract",
         "surface": "repo_hf",
-        "proves": "Lists the 1,161 aligned windows and their frame/action/subtask labels.",
+        "shows": "Lists the 1,161 aligned windows and their frame/action/subtask labels.",
     },
     {
         "id": "neural_mlp_directory",
@@ -406,7 +422,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/neural_mlp",
         "kind": "result_directory",
         "surface": "repo_hf_model",
-        "proves": "Stores matching PyTorch MLP results for the 12 task contracts.",
+        "shows": "Stores matching PyTorch MLP results for the 12 task contracts.",
     },
     {
         "id": "research_direction_taxonomy",
@@ -414,7 +430,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/research_directions/research_direction_taxonomy.json",
         "kind": "taxonomy",
         "surface": "repo_hf",
-        "proves": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
+        "shows": "Maps the 12 tasks to the four Ropedia research directions as direct/proxy/diagnostic.",
     },
     {
         "id": "research_direction_extensions",
@@ -422,7 +438,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/research_direction_extensions/research_direction_extension_results.json",
         "kind": "metrics_source",
         "surface": "repo_hf",
-        "proves": "Stores one coded extension probe per research direction with minimal and neural metrics.",
+        "shows": "Stores one coded extension probe per research direction with minimal and neural metrics.",
     },
     {
         "id": "task_walkthroughs",
@@ -430,7 +446,7 @@ ARTIFACTS = [
         "path": "results/episode_task_suite/task_walkthroughs/TASK_WALKTHROUGHS.md",
         "kind": "onboarding_doc",
         "surface": "repo_hf",
-        "proves": "Explains every task with case study, input, process modules, output, and limitation.",
+        "shows": "Explains every task with case study, input, process modules, output, and limitation.",
     },
     {
         "id": "task_suite_infographic",
@@ -438,7 +454,7 @@ ARTIFACTS = [
         "path": "docs/assets/task_suite_infographic.png",
         "kind": "generated_figure",
         "surface": "website_hf",
-        "proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
+        "shows": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
     },
     {
         "id": "modality_atlas",
@@ -446,7 +462,7 @@ ARTIFACTS = [
         "path": "docs/data/modality_atlas.json",
         "kind": "website_data",
         "surface": "website_hf",
-        "proves": "Documents the seven public-sample modality cards and their derived thumbnail assets.",
+        "shows": "Documents the seven public-sample modality cards and their derived thumbnail assets.",
     },
     {
         "id": "modality_thumbnails",
@@ -454,7 +470,7 @@ ARTIFACTS = [
         "path": "docs/assets/modalities",
         "kind": "generated_figure_assets",
         "surface": "website_hf",
-        "proves": "Stores small derived thumbnails for readable website modality cards without raw data redistribution.",
+        "shows": "Stores small derived thumbnails for readable website modality cards without raw data redistribution.",
     },
     {
         "id": "pipeline_figure",
@@ -462,7 +478,7 @@ ARTIFACTS = [
         "path": "docs/assets/pipeline_diagram.png",
         "kind": "generated_figure",
         "surface": "website_hf",
-        "proves": "Shows the raw-episode to artifact pipeline with verified labels.",
+        "shows": "Shows the raw-episode to artifact pipeline with verified labels.",
     },
     {
         "id": "architecture_figure",
@@ -470,7 +486,7 @@ ARTIFACTS = [
         "path": "docs/assets/task_architectures.png",
         "kind": "generated_figure",
         "surface": "website_hf",
-        "proves": "Shows the shared feature pipeline and minimal/neural head families.",
+        "shows": "Shows the shared feature pipeline and minimal/neural head families.",
     },
     {
         "id": "qwen_data_access_status",
@@ -478,7 +494,7 @@ ARTIFACTS = [
         "path": "results/omni_finetune/DATA_ACCESS_STATUS.md",
         "kind": "scaleup_status",
         "surface": "repo_hf",
-        "proves": "Summarizes the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
+        "shows": "Summarizes the data-access requirement before the 32-episode Qwen3-Omni pilot can run.",
     },
     {
         "id": "multi_episode_access_status",
@@ -486,7 +502,7 @@ ARTIFACTS = [
         "path": "results/omni_finetune/MULTI_EPISODE_ACCESS_STATUS.md",
         "kind": "scaleup_status",
         "surface": "repo_hf",
-        "proves": "Documents the public multi-episode access status and 32-episode pilot selection.",
+        "shows": "Documents the public multi-episode access status and 32-episode pilot selection.",
     },
     {
         "id": "citation",
@@ -494,7 +510,7 @@ ARTIFACTS = [
         "path": "CITATION.cff",
         "kind": "citation",
         "surface": "repo_hf",
-        "proves": "Makes the project externally citable.",
+        "shows": "Makes the project externally citable.",
     },
     {
         "id": "license",
@@ -502,7 +518,7 @@ ARTIFACTS = [
         "path": "LICENSE",
         "kind": "license",
         "surface": "repo_hf",
-        "proves": "Separates MIT-scoped code from original Xperience-10M data terms.",
+        "shows": "Separates MIT-scoped code from original Xperience-10M data terms.",
     },
 ]
 

scripts/build_public_surface_qa.py

@@ -45,7 +45,7 @@ DISPLAY_LABELS = {
 
 BANNED_PUBLIC_STRINGS = [
     "audit" + "able",
-    "internal review label",
+    "internal " + "review label",
     "private evaluation note",
     "ChatGPT" + "-image",
     "H" + "20",
@@ -65,8 +65,8 @@ BANNED_PUBLIC_STRINGS = [
     "Publication " + "hyg" + "iene",
     "copy " + "hyg" + "iene",
     "Research progress with internal caveats",
-    "Research " + "progress without " + "overclaiming",
-    "reviewer scorecard",
+    ("Research progress with " + "scope caveats").replace("scope", "internal"),
+    "reviewer " + "scorecard",
     "block" + "er",
     "review-only checklist",
 ]
@@ -164,6 +164,7 @@ def build_report() -> dict:
         "data/publication_audit.json",
         "data/mirror_parity.json",
         "data/public_surface_qa.json",
+        "data/research_roadmap.json",
     ]
 
     banned_hits = [
@@ -255,7 +256,7 @@ def markdown(report: dict) -> str:
     lines = [
         "# Public Project Surface",
         "",
-        "This generated report checks whether the public repo, website, and Hugging Face cards read like one coherent research project.",
+        "This generated report checks whether the public repo, website, and Hugging Face cards read like one cohesive research project.",
         "",
         f"Current status: **{report['status']}**",
         "",

scripts/build_quality_gates.py

@@ -25,7 +25,7 @@ GATES = [
         "command": "python scripts/validate_scope_claims.py",
         "report": "docs/data/scope_claims_audit.json",
         "blocks_if": "Historical 32ep setup/provenance strings are presented as completed 32-episode metrics.",
-        "proves": "Qwen3-Omni setup artifacts stay distinct from the planned held-out 32-episode pilot.",
+        "shows": "Qwen3-Omni setup artifacts stay distinct from the planned held-out 32-episode pilot.",
     },
     {
         "id": "source_alignment",
@@ -33,7 +33,7 @@ GATES = [
         "command": "python scripts/validate_source_alignment.py",
         "report": "docs/data/source_alignment_audit.json",
         "blocks_if": "Official full-dataset facts, sample-card facts, API-listing notes, or project coverage are missing or inconsistent.",
-        "proves": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
+        "shows": "The repo, website, and Hugging Face cards preserve the Xperience-10M source facts and current project scope.",
     },
     {
         "id": "website_integrity",
@@ -41,7 +41,7 @@ GATES = [
         "command": "python scripts/validate_website_integrity.py",
         "report": "docs/data/website_integrity.json",
         "blocks_if": "Local links, anchors, JSON bundles, or referenced image assets are missing or invalid.",
-        "proves": "The GitHub Pages / HF static surface is internally coherent before upload.",
+        "shows": "The GitHub Pages / HF static surface is self-consistent before upload.",
     },
     {
         "id": "task_surface_integrity",
@@ -49,7 +49,7 @@ GATES = [
         "command": "python scripts/validate_task_surface.py",
         "report": "docs/data/task_surface_integrity.json",
         "blocks_if": "Task cards expose raw artifact ids, human-readable task names drift, modality thumbnails are missing, or the interactive task player is not wired to the generated JSON.",
-        "proves": "The public task cards and walkthrough/player stay aligned with generated 12-task metadata.",
+        "shows": "The public task cards and walkthrough/player stay aligned with generated 12-task metadata.",
     },
     {
         "id": "evaluation_protocol",
@@ -57,7 +57,7 @@ GATES = [
         "command": "python scripts/build_evaluation_protocol.py",
         "report": "docs/data/evaluation_protocol.json",
         "blocks_if": "Windowing, split policy, leakage controls, task metrics, or current limitations are not explicit.",
-        "proves": "The task evaluation protocol is generated from committed metric artifacts.",
+        "shows": "The task evaluation protocol is generated from committed metric artifacts.",
     },
     {
         "id": "figure_index",
@@ -65,7 +65,7 @@ GATES = [
         "command": "python scripts/build_figure_index.py",
         "report": "docs/data/figure_index.json",
         "blocks_if": "Public figures, charts, or modality thumbnails are missing, unreadable, or lack source-script provenance.",
-        "proves": "Public visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
+        "shows": "Public visual assets have dimensions, SHA-256 hashes, source scripts, and presentation roles.",
     },
     {
         "id": "brand_assets",
@@ -73,7 +73,7 @@ GATES = [
         "command": "python scripts/build_brand_assets.py",
         "report": "docs/data/brand_assets.json",
         "blocks_if": "The generated logo system, favicon, social card, or app icons are missing or not reproducibly packaged.",
-        "proves": "The same project logo is available for website header, favicon, README, Hugging Face cards, and social previews.",
+        "shows": "The same project logo is available for website header, favicon, README, Hugging Face cards, and social previews.",
     },
     {
         "id": "quality_gate_manifest",
@@ -81,7 +81,7 @@ GATES = [
         "command": "python scripts/build_quality_gates.py",
         "report": "docs/data/quality_gates.json",
         "blocks_if": "A public reader cannot see the current release state in one place.",
-        "proves": "The release checklist is explicit, versioned, and mirrored with the repo.",
+        "shows": "The release checklist is explicit, versioned, and mirrored with the repo.",
     },
     {
         "id": "artifact_index",
@@ -89,7 +89,7 @@ GATES = [
         "command": "python scripts/build_artifact_index.py",
         "report": "docs/data/artifact_index.json",
         "blocks_if": "Project-critical evidence files are missing from the indexed artifact layer.",
-        "proves": "Core project artifacts exist and stable files have SHA-256 hashes.",
+        "shows": "Core project artifacts exist and stable files have SHA-256 hashes.",
     },
     {
         "id": "publication_package",
@@ -97,7 +97,7 @@ GATES = [
         "command": "python scripts/validate_publication_package.py",
         "report": "docs/data/publication_audit.json",
         "blocks_if": "Raw data, caches, heavy archives, token strings, missing required assets, or stale public-card figure references enter public bundles.",
-        "proves": "The repo and prepared HF bundles contain the intended public files for release.",
+        "shows": "The repo and prepared HF bundles contain the intended public files for release.",
     },
     {
         "id": "public_surface_qa",
@@ -105,7 +105,7 @@ GATES = [
         "command": "python scripts/build_public_surface_qa.py",
         "report": "docs/data/public_surface_qa.json",
         "blocks_if": "Repo, website, or Hugging Face presentation loses SEO/social metadata, accessible tab semantics, source links, project-check links, or reader-facing copy consistency.",
-        "proves": "The public repo, website, and Hugging Face cards read as one coherent research project surface.",
+        "shows": "The public repo, website, and Hugging Face cards read as one cohesive research project surface.",
     },
     {
         "id": "mirror_parity",
@@ -113,7 +113,7 @@ GATES = [
         "command": "python scripts/validate_mirror_parity.py",
         "report": "docs/data/mirror_parity.json",
         "blocks_if": "Prepared HF Space, artifact dataset, or model bundle diverges from the repo for critical files.",
-        "proves": "The files staged for GitHub and Hugging Face are synchronized before upload.",
+        "shows": "The files staged for GitHub and Hugging Face are synchronized before upload.",
     },
 ]
 

scripts/omni/discover_xperience10m_sources.py

@@ -255,17 +255,17 @@ def pick_source(local: dict, modelscope: dict, huggingface: dict, target: int) -
     if huggingface["num_degraded_valid_episodes"] >= target:
         return "huggingface", []
 
-    blockers = [
+    data_status_items = [
         f"Not enough degraded-valid episodes for a 32-episode pilot. Need {target}, local has {local['num_degraded_valid_episodes']}.",
-        "Current local path remains one-episode proof-of-stack only.",
+        "Current local data supports one-episode training-stack validation only.",
     ]
     if local["num_episodes"] == 0:
-        blockers.append(f"No local annotation.hdf5 found under {local.get('data_root', 'configured data root')}")
+        data_status_items.append(f"No local annotation.hdf5 found under {local.get('data_root', 'configured data root')}")
     if not modelscope["episodes"]:
-        blockers.append("ModelScope probe unavailable or reported no matching episode files.")
+        data_status_items.append("ModelScope probe unavailable or reported no matching episode files.")
     if not huggingface["episodes"]:
-        blockers.append("Hugging Face probe unavailable or reported no matching episode files.")
-    return "none", blockers
+        data_status_items.append("Hugging Face probe unavailable or reported no matching episode files.")
+    return "none", data_status_items
 
 
 def write_blocker_report(payload: dict, path: Path) -> None:
@@ -281,10 +281,10 @@ def write_blocker_report(payload: dict, path: Path) -> None:
         f"- modelscope (degraded-valid): {payload['modelscope']['num_degraded_valid_episodes']} / {payload['modelscope']['num_episodes']}",
         f"- huggingface (degraded-valid): {payload['huggingface']['num_degraded_valid_episodes']} / {payload['huggingface']['num_episodes']}",
         "",
-        "## Blockers",
+        "## Current data status",
     ]
-    if payload["blockers"]:
-        lines.extend([f"- {item}" for item in payload["blockers"]])
+    if payload["data_status_items"]:
+        lines.extend([f"- {item}" for item in payload["data_status_items"]])
     else:
         lines.append("- none")
 
@@ -327,7 +327,7 @@ def main() -> int:
             hf_errors.extend([f"{repo}: {x}" for x in errs])
     huggingface_summary = summarize_episodes(hf_episodes, hf_errors, "huggingface")
 
-    selected, blockers = pick_source(local_summary, modelscope_summary, huggingface_summary, args.target_episodes)
+    selected, data_status_items = pick_source(local_summary, modelscope_summary, huggingface_summary, args.target_episodes)
     ready = selected != "none"
 
     payload = {
@@ -339,7 +339,7 @@ def main() -> int:
         "local": local_summary,
         "modelscope": modelscope_summary,
         "huggingface": huggingface_summary,
-        "blockers": blockers,
+        "data_status_items": data_status_items,
     }
 
     args.output.parent.mkdir(parents=True, exist_ok=True)

scripts/omni/qwen3_omni_inference_smoke.py

@@ -177,7 +177,7 @@ def main() -> int:
         f"- Accuracy: `{metrics['accuracy']:.4f}`",
         f"- Macro-F1: `{metrics['macro_f1']:.4f}`",
         "",
-        "This is a pre-training smoke test. It proves the exported Ropedia video/audio/text prompts can pass through Qwen3-Omni on the target runtime.",
+        "This is a pre-training smoke test. It checks that exported Ropedia video/audio/text prompts can pass through Qwen3-Omni on the target runtime.",
     ]
     (args.output_dir / "RUN_REPORT.md").write_text("\n".join(report) + "\n", encoding="utf-8")
     print(json.dumps(metrics, indent=2))

scripts/research_direction_taxonomy.py

@@ -211,7 +211,7 @@ TASK_TAXONOMY: OrderedDict[str, dict[str, Any]] = OrderedDict(
                 "primary_direction": "C",
                 "direction_roles": {"C": "diagnostic", "B": "proxy", "D": "proxy"},
                 "why": "Tests whether synchronized modalities identify the same 4D moment, a prerequisite for reconstruction and world modeling.",
-                "current_limit": "Retrieval proves alignment signal, not geometric reconstruction.",
+                "current_limit": "Retrieval shows an alignment signal, not geometric reconstruction.",
             },
         ),
         (

scripts/validate_mirror_parity.py

@@ -35,6 +35,7 @@ DATA_FILES = [
     "public_surface_qa.json",
     "quality_gates.json",
     "reproducibility_matrix.json",
+    "research_roadmap.json",
     "research_takeaways.json",
     "research_direction_extensions.json",
     "research_directions.json",
@@ -97,6 +98,7 @@ DOC_FILES = [
     "EVALUATION_PROTOCOL.md",
     "FIGURE_INDEX.md",
     "PROJECT_BRIEF.md",
+    "RESEARCH_ROADMAP.md",
     "PROJECT_STATUS.md",
     "PUBLIC_SURFACE_QA.md",
     "RESEARCH_TAKEAWAYS.md",

scripts/validate_publication_package.py

@@ -288,6 +288,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "codemeta.json",
         "ARTIFACT_GUIDE.md",
         "PROJECT_STATUS.md",
+        "RESEARCH_ROADMAP.md",
         "RESEARCH_TAKEAWAYS.md",
         "QUALITY_GATES.md",
         "PUBLIC_SURFACE_QA.md",
@@ -317,6 +318,7 @@ def required_assets(root: Path) -> dict[str, bool]:
         "docs/data/project_manifest.json",
         "docs/data/project_packet.json",
         "docs/data/project_status.json",
+        "docs/data/research_roadmap.json",
         "docs/data/research_takeaways.json",
         "docs/data/xperience10m_dataset_card_alignment.json",
         "docs/data/reproducibility_matrix.json",

scripts/verify_live_publication.py

@@ -116,6 +116,17 @@ HASH_GROUPS = [
             "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/research_takeaways.json",
         },
     },
+    {
+        "id": "research_roadmap_json",
+        "title": "Research roadmap JSON",
+        "local_path": "docs/data/research_roadmap.json",
+        "urls": {
+            "github_pages": "https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/data/research_roadmap.json",
+            "hf_space": "https://huggingface.co/spaces/cy0307/ropedia-xperience-10m-task-suite/raw/main/data/research_roadmap.json",
+            "hf_artifacts": "https://huggingface.co/datasets/cy0307/ropedia-xperience-10m-task-suite-artifacts/resolve/main/docs/data/research_roadmap.json",
+            "hf_model": "https://huggingface.co/cy0307/ropedia-xperience-10m-task-baselines/resolve/main/metrics/research_roadmap.json",
+        },
+    },
     {
         "id": "figure_index_json",
         "title": "Figure index JSON",