{
  "status": "pass",
  "generated_at_utc": "2026-06-03T20:36:23+00:00",
  "summary": {
    "task_count": 12,
    "expected_task_count": 12,
    "task_family_counts": {
      "diagnostic": 3,
      "forecast": 2,
      "retrieval": 2,
      "supervised": 5
    },
    "modality_usage_counts": {
      "depth": 10,
      "inertial": 11,
      "language": 4,
      "motion_capture": 11,
      "pose_slam": 11,
      "video": 12
    },
    "interactive_surface": "task cards plus scrub/play/chapter walkthrough storyboard",
    "failure_count": 0
  },
  "checks": [
    {
      "name": "required_task_surface_inputs_present",
      "status": "pass",
      "inputs": {
        "task_walkthroughs_json": true,
        "website_index": true,
        "walkthrough_markdown": true
      }
    },
    {
      "name": "tasks_object_present",
      "status": "pass"
    },
    {
      "name": "exactly_12_tasks",
      "status": "pass",
      "observed": 12,
      "expected": 12
    },
    {
      "name": "expected_task_ids_present",
      "status": "pass",
      "missing": [],
      "extra": []
    },
    {
      "name": "timeline_action: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "timeline_action: human_readable_display_name",
      "status": "pass",
      "expected": "Action Recognition",
      "observed": "Action Recognition"
    },
    {
      "name": "timeline_action: artifact_id_matches_key",
      "status": "pass",
      "observed": "timeline_action"
    },
    {
      "name": "timeline_action: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "current action class",
      "raw_hits": []
    },
    {
      "name": "timeline_action: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Look at one short multimodal window and name what action is happening now.",
      "raw_hits": []
    },
    {
      "name": "timeline_action: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "window features -> action label builder -> classifier",
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    },
    {
      "name": "timeline_action: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Egocentric Action Recognition",
      "raw_hits": []
    },
    {
      "name": "timeline_action: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Recognize the current manipulation action from synchronized visual, motion, inertial, pose, and annotation context.",
      "raw_hits": []
    },
    {
      "name": "timeline_action: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Action Recognition",
      "raw_hits": []
    },
    {
      "name": "timeline_action: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "20-frame multimodal window",
      "raw_hits": []
    },
    {
      "name": "timeline_action: known_task_family",
      "status": "pass",
      "observed": "supervised",
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        "diagnostic",
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    },
    {
      "name": "timeline_action: modality_list_present",
      "status": "pass",
      "observed": [
        "video",
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        "pose_slam",
        "motion_capture",
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        "language"
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    },
    {
      "name": "timeline_action: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "timeline_action: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "timeline_action: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "video",
      "modalities": [
        "video",
        "depth",
        "pose_slam",
        "motion_capture",
        "inertial",
        "language"
      ]
    },
    {
      "name": "timeline_action: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "macro_f1",
        "name": "macro-F1",
        "direction": "higher",
        "minimal": 0.05,
        "neural_mlp": 0.014814814814814814
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    },
    {
      "name": "timeline_action: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
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    {
      "name": "timeline_subtask: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "timeline_subtask: human_readable_display_name",
      "status": "pass",
      "expected": "Procedure Step Recognition",
      "observed": "Procedure Step Recognition"
    },
    {
      "name": "timeline_subtask: artifact_id_matches_key",
      "status": "pass",
      "observed": "timeline_subtask"
    },
    {
      "name": "timeline_subtask: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "current procedure step",
      "raw_hits": []
    },
    {
      "name": "timeline_subtask: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Predict the higher-level task stage for the current window.",
      "raw_hits": []
    },
    {
      "name": "timeline_subtask: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "window features -> subtask label builder -> classifier",
      "raw_hits": []
    },
    {
      "name": "timeline_subtask: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Temporal Subtask Recognition",
      "raw_hits": []
    },
    {
      "name": "timeline_subtask: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Recognize the broader activity stage so fine actions become a readable procedure timeline.",
      "raw_hits": []
    },
    {
      "name": "timeline_subtask: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Procedure Step Recognition",
      "raw_hits": []
    },
    {
      "name": "timeline_subtask: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "20-frame multimodal window",
      "raw_hits": []
    },
    {
      "name": "timeline_subtask: known_task_family",
      "status": "pass",
      "observed": "supervised",
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        "diagnostic",
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        "supervised"
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    },
    {
      "name": "timeline_subtask: modality_list_present",
      "status": "pass",
      "observed": [
        "video",
        "depth",
        "pose_slam",
        "motion_capture",
        "inertial",
        "language"
      ]
    },
    {
      "name": "timeline_subtask: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "timeline_subtask: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "timeline_subtask: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "language",
      "modalities": [
        "video",
        "depth",
        "pose_slam",
        "motion_capture",
        "inertial",
        "language"
      ]
    },
    {
      "name": "timeline_subtask: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "macro_f1",
        "name": "macro-F1",
        "direction": "higher",
        "minimal": 0.05056355513846935,
        "neural_mlp": 0.02810810810810811
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    },
    {
      "name": "timeline_subtask: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "transition_detection: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "transition_detection: human_readable_display_name",
      "status": "pass",
      "expected": "Action Boundary Detection",
      "observed": "Action Boundary Detection"
    },
    {
      "name": "transition_detection: artifact_id_matches_key",
      "status": "pass",
      "observed": "transition_detection"
    },
    {
      "name": "transition_detection: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "boundary or steady",
      "raw_hits": []
    },
    {
      "name": "transition_detection: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Detect whether the current window is near a boundary between actions.",
      "raw_hits": []
    },
    {
      "name": "transition_detection: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "action changes -> boundary labels -> binary classifier",
      "raw_hits": []
    },
    {
      "name": "transition_detection: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Temporal Action Segmentation",
      "raw_hits": []
    },
    {
      "name": "transition_detection: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Detect the local moment where the episode changes from one action segment to the next.",
      "raw_hits": []
    },
    {
      "name": "transition_detection: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Action Boundary Detection",
      "raw_hits": []
    },
    {
      "name": "transition_detection: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "current window with boundary target",
      "raw_hits": []
    },
    {
      "name": "transition_detection: known_task_family",
      "status": "pass",
      "observed": "diagnostic",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "transition_detection: modality_list_present",
      "status": "pass",
      "observed": [
        "video",
        "pose_slam",
        "motion_capture",
        "inertial",
        "language"
      ]
    },
    {
      "name": "transition_detection: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "transition_detection: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "transition_detection: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "pose_slam",
      "modalities": [
        "video",
        "pose_slam",
        "motion_capture",
        "inertial",
        "language"
      ]
    },
    {
      "name": "transition_detection: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "macro_f1",
        "name": "macro-F1",
        "direction": "higher",
        "minimal": 0.6118237590630229,
        "neural_mlp": 0.5862068965517241
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    },
    {
      "name": "transition_detection: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "next_action: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "next_action: human_readable_display_name",
      "status": "pass",
      "expected": "Next-Action Prediction",
      "observed": "Next-Action Prediction"
    },
    {
      "name": "next_action: artifact_id_matches_key",
      "status": "pass",
      "observed": "next_action"
    },
    {
      "name": "next_action: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "action at t+20 frames",
      "raw_hits": []
    },
    {
      "name": "next_action: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Use the current window to guess the action that will happen shortly after it.",
      "raw_hits": []
    },
    {
      "name": "next_action: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "current features -> future label shift -> classifier",
      "raw_hits": []
    },
    {
      "name": "next_action: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Short-Horizon Intention Prediction",
      "raw_hits": []
    },
    {
      "name": "next_action: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Forecast the near-future action from the current observations only.",
      "raw_hits": []
    },
    {
      "name": "next_action: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Next-Action Prediction",
      "raw_hits": []
    },
    {
      "name": "next_action: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "current window at time t",
      "raw_hits": []
    },
    {
      "name": "next_action: known_task_family",
      "status": "pass",
      "observed": "supervised",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "next_action: modality_list_present",
      "status": "pass",
      "observed": [
        "video",
        "depth",
        "pose_slam",
        "motion_capture",
        "inertial"
      ]
    },
    {
      "name": "next_action: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "next_action: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "next_action: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "video",
      "modalities": [
        "video",
        "depth",
        "pose_slam",
        "motion_capture",
        "inertial"
      ]
    },
    {
      "name": "next_action: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "macro_f1",
        "name": "macro-F1",
        "direction": "higher",
        "minimal": 0.05925925925925927,
        "neural_mlp": 0.04186046511627907
      }
    },
    {
      "name": "next_action: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "hand_trajectory_forecast: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "hand_trajectory_forecast: human_readable_display_name",
      "status": "pass",
      "expected": "Hand Trajectory Forecasting",
      "observed": "Hand Trajectory Forecasting"
    },
    {
      "name": "hand_trajectory_forecast: artifact_id_matches_key",
      "status": "pass",
      "observed": "hand_trajectory_forecast"
    },
    {
      "name": "hand_trajectory_forecast: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "future hand-joint trajectory",
      "raw_hits": []
    },
    {
      "name": "hand_trajectory_forecast: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Predict where the hands will move over the next few frames.",
      "raw_hits": []
    },
    {
      "name": "hand_trajectory_forecast: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "current features -> future mocap target -> regression head",
      "raw_hits": []
    },
    {
      "name": "hand_trajectory_forecast: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "3D Hand Motion Forecasting",
      "raw_hits": []
    },
    {
      "name": "hand_trajectory_forecast: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Predict the future 3D left/right hand path from the current multimodal state.",
      "raw_hits": []
    },
    {
      "name": "hand_trajectory_forecast: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Hand Trajectory Forecasting",
      "raw_hits": []
    },
    {
      "name": "hand_trajectory_forecast: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "current multimodal window",
      "raw_hits": []
    },
    {
      "name": "hand_trajectory_forecast: known_task_family",
      "status": "pass",
      "observed": "forecast",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "hand_trajectory_forecast: modality_list_present",
      "status": "pass",
      "observed": [
        "motion_capture",
        "video",
        "depth",
        "pose_slam",
        "inertial"
      ]
    },
    {
      "name": "hand_trajectory_forecast: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "hand_trajectory_forecast: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "hand_trajectory_forecast: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "motion_capture",
      "modalities": [
        "motion_capture",
        "video",
        "depth",
        "pose_slam",
        "inertial"
      ]
    },
    {
      "name": "hand_trajectory_forecast: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "mpjpe",
        "name": "MPJPE",
        "direction": "lower",
        "minimal": 0.8646570444107056,
        "neural_mlp": 0.10785018652677536
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    },
    {
      "name": "hand_trajectory_forecast: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "contact_prediction: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "contact_prediction: human_readable_display_name",
      "status": "pass",
      "expected": "Contact State Prediction",
      "observed": "Contact State Prediction"
    },
    {
      "name": "contact_prediction: artifact_id_matches_key",
      "status": "pass",
      "observed": "contact_prediction"
    },
    {
      "name": "contact_prediction: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "contact or no contact",
      "raw_hits": []
    },
    {
      "name": "contact_prediction: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Predict whether the body or hand is in contact with something.",
      "raw_hits": []
    },
    {
      "name": "contact_prediction: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "feature filter -> contact target -> binary classifier",
      "raw_hits": []
    },
    {
      "name": "contact_prediction: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Human-Object Contact Prediction",
      "raw_hits": []
    },
    {
      "name": "contact_prediction: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Predict whether body or hand contact with the scene is occurring without leaking contact labels.",
      "raw_hits": []
    },
    {
      "name": "contact_prediction: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Contact State Prediction",
      "raw_hits": []
    },
    {
      "name": "contact_prediction: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "non-contact, non-caption features",
      "raw_hits": []
    },
    {
      "name": "contact_prediction: known_task_family",
      "status": "pass",
      "observed": "supervised",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "contact_prediction: modality_list_present",
      "status": "pass",
      "observed": [
        "motion_capture",
        "video",
        "depth",
        "inertial"
      ]
    },
    {
      "name": "contact_prediction: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "contact_prediction: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "contact_prediction: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "motion_capture",
      "modalities": [
        "motion_capture",
        "video",
        "depth",
        "inertial"
      ]
    },
    {
      "name": "contact_prediction: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "macro_f1",
        "name": "macro-F1",
        "direction": "higher",
        "minimal": 1.0,
        "neural_mlp": 1.0
      }
    },
    {
      "name": "contact_prediction: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "object_relevance: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "object_relevance: human_readable_display_name",
      "status": "pass",
      "expected": "Object Relevance Prediction",
      "observed": "Object Relevance Prediction"
    },
    {
      "name": "object_relevance: artifact_id_matches_key",
      "status": "pass",
      "observed": "object_relevance"
    },
    {
      "name": "object_relevance: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "relevant object set",
      "raw_hits": []
    },
    {
      "name": "object_relevance: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Predict which objects matter in the current window.",
      "raw_hits": []
    },
    {
      "name": "object_relevance: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "object vocabulary -> multi-hot labels -> sigmoid heads",
      "raw_hits": []
    },
    {
      "name": "object_relevance: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Object-Centric Interaction Recognition",
      "raw_hits": []
    },
    {
      "name": "object_relevance: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Infer which objects are relevant to the current manipulation window from non-caption features.",
      "raw_hits": []
    },
    {
      "name": "object_relevance: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Object Relevance Prediction",
      "raw_hits": []
    },
    {
      "name": "object_relevance: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "non-caption multimodal features",
      "raw_hits": []
    },
    {
      "name": "object_relevance: known_task_family",
      "status": "pass",
      "observed": "supervised",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "object_relevance: modality_list_present",
      "status": "pass",
      "observed": [
        "video",
        "depth",
        "pose_slam",
        "motion_capture",
        "inertial"
      ]
    },
    {
      "name": "object_relevance: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "object_relevance: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "object_relevance: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "video",
      "modalities": [
        "video",
        "depth",
        "pose_slam",
        "motion_capture",
        "inertial"
      ]
    },
    {
      "name": "object_relevance: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "micro_f1",
        "name": "micro-F1",
        "direction": "higher",
        "minimal": 0.18034382095361662,
        "neural_mlp": 0.1679279279279279
      }
    },
    {
      "name": "object_relevance: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "caption_grounding: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "caption_grounding: human_readable_display_name",
      "status": "pass",
      "expected": "Language Grounding",
      "observed": "Language Grounding"
    },
    {
      "name": "caption_grounding: artifact_id_matches_key",
      "status": "pass",
      "observed": "caption_grounding"
    },
    {
      "name": "caption_grounding: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "ranked matching moments",
      "raw_hits": []
    },
    {
      "name": "caption_grounding: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Given a text-like query from annotation, find the matching time window.",
      "raw_hits": []
    },
    {
      "name": "caption_grounding: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "query features -> candidate index -> cosine ranker",
      "raw_hits": []
    },
    {
      "name": "caption_grounding: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Language-to-Moment Grounding",
      "raw_hits": []
    },
    {
      "name": "caption_grounding: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Retrieve the matching time window for an annotation-derived text query.",
      "raw_hits": []
    },
    {
      "name": "caption_grounding: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Language Grounding",
      "raw_hits": []
    },
    {
      "name": "caption_grounding: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "text-like query and candidate windows",
      "raw_hits": []
    },
    {
      "name": "caption_grounding: known_task_family",
      "status": "pass",
      "observed": "retrieval",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "caption_grounding: modality_list_present",
      "status": "pass",
      "observed": [
        "language",
        "video",
        "depth",
        "pose_slam"
      ]
    },
    {
      "name": "caption_grounding: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "caption_grounding: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "caption_grounding: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "language",
      "modalities": [
        "language",
        "video",
        "depth",
        "pose_slam"
      ]
    },
    {
      "name": "caption_grounding: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "mrr",
        "name": "MRR",
        "direction": "higher",
        "minimal": 0.016023479050338015,
        "neural_mlp": 0.01684125567132316
      }
    },
    {
      "name": "caption_grounding: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "cross_modal_retrieval: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "cross_modal_retrieval: human_readable_display_name",
      "status": "pass",
      "expected": "Cross-Modal Retrieval",
      "observed": "Cross-Modal Retrieval"
    },
    {
      "name": "cross_modal_retrieval: artifact_id_matches_key",
      "status": "pass",
      "observed": "cross_modal_retrieval"
    },
    {
      "name": "cross_modal_retrieval: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "ranked visual windows",
      "raw_hits": []
    },
    {
      "name": "cross_modal_retrieval: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Use one group of modalities to retrieve the matching window from another group.",
      "raw_hits": []
    },
    {
      "name": "cross_modal_retrieval: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "modality split -> projection -> nearest-neighbor ranker",
      "raw_hits": []
    },
    {
      "name": "cross_modal_retrieval: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Multimodal Representation Retrieval",
      "raw_hits": []
    },
    {
      "name": "cross_modal_retrieval: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Use motion, IMU, and camera-pose signals to retrieve the matching depth/video window.",
      "raw_hits": []
    },
    {
      "name": "cross_modal_retrieval: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Cross-Modal Retrieval",
      "raw_hits": []
    },
    {
      "name": "cross_modal_retrieval: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "motion/IMU/pose query; depth/video candidates",
      "raw_hits": []
    },
    {
      "name": "cross_modal_retrieval: known_task_family",
      "status": "pass",
      "observed": "retrieval",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "cross_modal_retrieval: modality_list_present",
      "status": "pass",
      "observed": [
        "motion_capture",
        "inertial",
        "pose_slam",
        "depth",
        "video"
      ]
    },
    {
      "name": "cross_modal_retrieval: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "cross_modal_retrieval: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "cross_modal_retrieval: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "depth",
      "modalities": [
        "motion_capture",
        "inertial",
        "pose_slam",
        "depth",
        "video"
      ]
    },
    {
      "name": "cross_modal_retrieval: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "mrr",
        "name": "MRR",
        "direction": "higher",
        "minimal": 0.26925966892956127,
        "neural_mlp": 0.1299971898648288
      }
    },
    {
      "name": "cross_modal_retrieval: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "modality_reconstruction: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "modality_reconstruction: human_readable_display_name",
      "status": "pass",
      "expected": "Cross-Modal Reconstruction",
      "observed": "Cross-Modal Reconstruction"
    },
    {
      "name": "modality_reconstruction: artifact_id_matches_key",
      "status": "pass",
      "observed": "modality_reconstruction"
    },
    {
      "name": "modality_reconstruction: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "reconstructed depth/video vector",
      "raw_hits": []
    },
    {
      "name": "modality_reconstruction: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Predict one modality feature block from other modality blocks.",
      "raw_hits": []
    },
    {
      "name": "modality_reconstruction: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "source-target split -> scaler -> regression head",
      "raw_hits": []
    },
    {
      "name": "modality_reconstruction: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Modality Feature Reconstruction",
      "raw_hits": []
    },
    {
      "name": "modality_reconstruction: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Predict compressed depth/video feature vectors from motion, IMU, and camera-pose features.",
      "raw_hits": []
    },
    {
      "name": "modality_reconstruction: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Cross-Modal Reconstruction",
      "raw_hits": []
    },
    {
      "name": "modality_reconstruction: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "motion, IMU, and camera/pose features",
      "raw_hits": []
    },
    {
      "name": "modality_reconstruction: known_task_family",
      "status": "pass",
      "observed": "forecast",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "modality_reconstruction: modality_list_present",
      "status": "pass",
      "observed": [
        "motion_capture",
        "inertial",
        "pose_slam",
        "depth",
        "video"
      ]
    },
    {
      "name": "modality_reconstruction: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "modality_reconstruction: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "modality_reconstruction: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "depth",
      "modalities": [
        "motion_capture",
        "inertial",
        "pose_slam",
        "depth",
        "video"
      ]
    },
    {
      "name": "modality_reconstruction: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "r2",
        "name": "R2",
        "direction": "higher",
        "minimal": -0.015271898913936655,
        "neural_mlp": -0.010171410134180991
      }
    },
    {
      "name": "modality_reconstruction: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "temporal_order: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "temporal_order: human_readable_display_name",
      "status": "pass",
      "expected": "Temporal Order Verification",
      "observed": "Temporal Order Verification"
    },
    {
      "name": "temporal_order: artifact_id_matches_key",
      "status": "pass",
      "observed": "temporal_order"
    },
    {
      "name": "temporal_order: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "correct or reversed",
      "raw_hits": []
    },
    {
      "name": "temporal_order: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Tell whether two nearby windows are in the correct time order.",
      "raw_hits": []
    },
    {
      "name": "temporal_order: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "pair builder -> feature combiner -> binary classifier",
      "raw_hits": []
    },
    {
      "name": "temporal_order: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Temporal Order Verification",
      "raw_hits": []
    },
    {
      "name": "temporal_order: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Tell whether two neighboring windows are in chronological order or reversed.",
      "raw_hits": []
    },
    {
      "name": "temporal_order: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Temporal Order Verification",
      "raw_hits": []
    },
    {
      "name": "temporal_order: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "two adjacent windows plus difference vector",
      "raw_hits": []
    },
    {
      "name": "temporal_order: known_task_family",
      "status": "pass",
      "observed": "diagnostic",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "temporal_order: modality_list_present",
      "status": "pass",
      "observed": [
        "video",
        "pose_slam",
        "motion_capture",
        "inertial"
      ]
    },
    {
      "name": "temporal_order: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "temporal_order: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "temporal_order: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "video",
      "modalities": [
        "video",
        "pose_slam",
        "motion_capture",
        "inertial"
      ]
    },
    {
      "name": "temporal_order: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "f1",
        "name": "F1",
        "direction": "higher",
        "minimal": 0.5399515738498789,
        "neural_mlp": 0.8520179372197308
      }
    },
    {
      "name": "temporal_order: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "misalignment_detection: required_fields",
      "status": "pass",
      "missing": []
    },
    {
      "name": "misalignment_detection: human_readable_display_name",
      "status": "pass",
      "expected": "Multimodal Synchronization Detection",
      "observed": "Multimodal Synchronization Detection"
    },
    {
      "name": "misalignment_detection: artifact_id_matches_key",
      "status": "pass",
      "observed": "misalignment_detection"
    },
    {
      "name": "misalignment_detection: public_field_output_short_is_human_readable",
      "status": "pass",
      "value": "aligned or shifted",
      "raw_hits": []
    },
    {
      "name": "misalignment_detection: public_field_plain_goal_is_human_readable",
      "status": "pass",
      "value": "Detect when modalities that should match are shifted out of sync.",
      "raw_hits": []
    },
    {
      "name": "misalignment_detection: public_field_process_short_is_human_readable",
      "status": "pass",
      "value": "aligned/shifted pairs -> feature combiner -> binary classifier",
      "raw_hits": []
    },
    {
      "name": "misalignment_detection: public_field_research_name_is_human_readable",
      "status": "pass",
      "value": "Cross-Modal Misalignment Detection",
      "raw_hits": []
    },
    {
      "name": "misalignment_detection: public_field_card_blurb_is_human_readable",
      "status": "pass",
      "value": "Detect whether motion and visual/depth streams have been artificially shifted out of sync.",
      "raw_hits": []
    },
    {
      "name": "misalignment_detection: public_field_display_name_is_human_readable",
      "status": "pass",
      "value": "Multimodal Synchronization Detection",
      "raw_hits": []
    },
    {
      "name": "misalignment_detection: public_field_input_short_is_human_readable",
      "status": "pass",
      "value": "motion-side and visual/depth-side feature groups",
      "raw_hits": []
    },
    {
      "name": "misalignment_detection: known_task_family",
      "status": "pass",
      "observed": "diagnostic",
      "allowed": [
        "diagnostic",
        "forecast",
        "retrieval",
        "supervised"
      ]
    },
    {
      "name": "misalignment_detection: modality_list_present",
      "status": "pass",
      "observed": [
        "motion_capture",
        "inertial",
        "video",
        "depth",
        "pose_slam"
      ]
    },
    {
      "name": "misalignment_detection: known_modalities",
      "status": "pass",
      "unknown": []
    },
    {
      "name": "misalignment_detection: modality_assets_exist",
      "status": "pass",
      "missing": []
    },
    {
      "name": "misalignment_detection: poster_modality_in_task_modalities",
      "status": "pass",
      "poster_modality": "pose_slam",
      "modalities": [
        "motion_capture",
        "inertial",
        "video",
        "depth",
        "pose_slam"
      ]
    },
    {
      "name": "misalignment_detection: numeric_minimal_and_neural_metrics",
      "status": "pass",
      "metric": {
        "key": "f1",
        "name": "F1",
        "direction": "higher",
        "minimal": 0.5051698670605613,
        "neural_mlp": 0.7152682255845944
      }
    },
    {
      "name": "misalignment_detection: middle_modules_explain_process",
      "status": "pass",
      "observed_count": 5
    },
    {
      "name": "markdown_heading_present:timeline_action",
      "status": "pass",
      "expected": "### Action Recognition (`timeline_action`)"
    },
    {
      "name": "markdown_heading_present:timeline_subtask",
      "status": "pass",
      "expected": "### Procedure Step Recognition (`timeline_subtask`)"
    },
    {
      "name": "markdown_heading_present:transition_detection",
      "status": "pass",
      "expected": "### Action Boundary Detection (`transition_detection`)"
    },
    {
      "name": "markdown_heading_present:next_action",
      "status": "pass",
      "expected": "### Next-Action Prediction (`next_action`)"
    },
    {
      "name": "markdown_heading_present:hand_trajectory_forecast",
      "status": "pass",
      "expected": "### Hand Trajectory Forecasting (`hand_trajectory_forecast`)"
    },
    {
      "name": "markdown_heading_present:contact_prediction",
      "status": "pass",
      "expected": "### Contact State Prediction (`contact_prediction`)"
    },
    {
      "name": "markdown_heading_present:object_relevance",
      "status": "pass",
      "expected": "### Object Relevance Prediction (`object_relevance`)"
    },
    {
      "name": "markdown_heading_present:caption_grounding",
      "status": "pass",
      "expected": "### Language Grounding (`caption_grounding`)"
    },
    {
      "name": "markdown_heading_present:cross_modal_retrieval",
      "status": "pass",
      "expected": "### Cross-Modal Retrieval (`cross_modal_retrieval`)"
    },
    {
      "name": "markdown_heading_present:modality_reconstruction",
      "status": "pass",
      "expected": "### Cross-Modal Reconstruction (`modality_reconstruction`)"
    },
    {
      "name": "markdown_heading_present:temporal_order",
      "status": "pass",
      "expected": "### Temporal Order Verification (`temporal_order`)"
    },
    {
      "name": "markdown_heading_present:misalignment_detection",
      "status": "pass",
      "expected": "### Multimodal Synchronization Detection (`misalignment_detection`)"
    },
    {
      "name": "markdown_has_12_task_sections",
      "status": "pass",
      "observed": 12
    },
    {
      "name": "markdown_contains_case_studies",
      "status": "pass"
    },
    {
      "name": "website_marker_present:id=\"taskPlayer\"",
      "status": "pass",
      "marker": "id=\"taskPlayer\""
    },
    {
      "name": "website_marker_present:id=\"taskGrid\"",
      "status": "pass",
      "marker": "id=\"taskGrid\""
    },
    {
      "name": "website_marker_present:id=\"walkthroughSelector\"",
      "status": "pass",
      "marker": "id=\"walkthroughSelector\""
    },
    {
      "name": "website_marker_present:id=\"playerStoryboard\"",
      "status": "pass",
      "marker": "id=\"playerStoryboard\""
    },
    {
      "name": "website_marker_present:id=\"playerFrameChip\"",
      "status": "pass",
      "marker": "id=\"playerFrameChip\""
    },
    {
      "name": "website_marker_present:id=\"playerFrameCaption\"",
      "status": "pass",
      "marker": "id=\"playerFrameCaption\""
    },
    {
      "name": "website_marker_present:id=\"playerScrub\"",
      "status": "pass",
      "marker": "id=\"playerScrub\""
    },
    {
      "name": "website_marker_present:fetch(\"data/task_walkthroughs.json\"",
      "status": "pass",
      "marker": "fetch(\"data/task_walkthroughs.json\""
    },
    {
      "name": "website_marker_present:class=\"task-card\"",
      "status": "pass",
      "marker": "class=\"task-card\""
    },
    {
      "name": "website_marker_present:class=\"task-card-media\"",
      "status": "pass",
      "marker": "class=\"task-card-media\""
    },
    {
      "name": "website_marker_present:class=\"story-button",
      "status": "pass",
      "marker": "class=\"story-button"
    },
    {
      "name": "website_marker_present:class=\"flow-step",
      "status": "pass",
      "marker": "class=\"flow-step"
    },
    {
      "name": "website_marker_present:id=\"playerPlay\"",
      "status": "pass",
      "marker": "id=\"playerPlay\""
    },
    {
      "name": "website_marker_present:id=\"playerPrev\"",
      "status": "pass",
      "marker": "id=\"playerPrev\""
    },
    {
      "name": "website_marker_present:id=\"playerNext\"",
      "status": "pass",
      "marker": "id=\"playerNext\""
    },
    {
      "name": "website_no_artifact_id_css_or_markup",
      "status": "pass"
    },
    {
      "name": "task_cards_do_not_render_artifact_ids",
      "status": "pass"
    },
    {
      "name": "task_cards_render_human_names",
      "status": "pass"
    },
    {
      "name": "task_cards_render_input_process_output",
      "status": "pass"
    },
    {
      "name": "task_cards_use_representative_modality_thumbnail",
      "status": "pass"
    },
    {
      "name": "interactive_player_wired_to_task_metadata",
      "status": "pass"
    },
    {
      "name": "interactive_video_storyboard_controls_present",
      "status": "pass"
    },
    {
      "name": "selector_uses_human_names",
      "status": "pass"
    },
    {
      "name": "extension_probe_uses_human_name:body_motion_intensity",
      "status": "pass",
      "expected": "Body and Hand Motion Intensity"
    },
    {
      "name": "extension_probe_uses_human_name:multi_view_consistency_retrieval",
      "status": "pass",
      "expected": "Multi-View Consistency Retrieval"
    },
    {
      "name": "extension_probe_uses_human_name:action_phase_progress",
      "status": "pass",
      "expected": "Action Phase Progress Estimation"
    },
    {
      "name": "extension_probe_uses_human_name:ego_motion_forecast",
      "status": "pass",
      "expected": "Short-Horizon Ego-Motion Forecasting"
    }
  ],
  "failures": []
}