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{
"title": "Unified 20-Task Model Radar",
"status": "pass",
"generated_at_utc": "2026-06-18T06:01:21+00:00",
"task_count": 20,
"method_count": 9,
"method_task_record_count": 180,
"scored_method_task_count": 120,
"normalization_policy": {
"higher_is_better": "bounded metrics are plotted directly on 0-1 axes after clipping to [0, 1]",
"lower_is_better": "lower-error metrics are converted to best_observed_value / raw_value within the same task",
"raw_values": "raw metric values, metric keys, and sources are retained in this JSON; the SVG is an overview, not a replacement for the metric table",
"result_record_policy": "every method has 20 task records; records without a numeric score carry explicit unsupported/not-evaluated status and reason fields",
"foundation_model_overlay": "Qwen3/Cosmos points are plotted only on task-aligned axes. Scoreless records mean the public result does not evaluate that task contract.",
"metadata_128_overlay": "128-episode metadata baselines have 20 records, but numeric scores only where the public JSONL contains enough task labels without raw feature blocks.",
"raw_128_overlay": "128-episode raw-feature baselines use staged sensor NPZ features. Eighteen axes use direct task targets; interaction text and camera-view sync are completed with documented compact proxies because raw interaction strings and paired video-view embeddings are absent from the 128 export."
},
"series": [
{
"id": "minimal",
"label": "Minimal",
"short_label": "Min",
"color": "#ccffa0",
"kind": "full_20_task_baseline",
"scope": "1 public sample episode",
"stroke_dasharray": null,
"method_detail": "Single-episode simple heads over the public sample split.",
"plotted_as": "filled polygon",
"result_record_count": 20,
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"proxy_scored_task_count": 0,
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"status_counts": {
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},
"coverage_fraction": 1.0,
"result_record_fraction": 1.0
},
{
"id": "neural_mlp",
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"short_label": "NN",
"color": "#67e8d1",
"kind": "full_20_task_baseline",
"scope": "1 public sample episode",
"stroke_dasharray": null,
"method_detail": "Single-episode compact PyTorch MLP heads on the same 20 task contracts.",
"plotted_as": "filled polygon",
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"not_evaluated_task_count": 0,
"status_counts": {
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},
"coverage_fraction": 1.0,
"result_record_fraction": 1.0
},
{
"id": "metadata128_simple",
"label": "128ep Metadata Simple",
"short_label": "128-S",
"color": "#ffd166",
"kind": "partial_128_episode_metadata_baseline",
"scope": "128 selected episodes, JSONL metadata/text only",
"stroke_dasharray": "9 6",
"method_detail": "128-episode JSONL metadata/text simple baselines.",
"plotted_as": "colored point overlay",
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},
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},
{
"id": "metadata128_neural_mlp",
"label": "128ep Metadata NN",
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"color": "#f472b6",
"kind": "partial_128_episode_metadata_baseline",
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},
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},
{
"id": "raw128_simple",
"label": "128ep Raw Simple",
"short_label": "128-RS",
"color": "#f59e0b",
"kind": "complete_128_episode_raw_feature_baseline",
"scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
"stroke_dasharray": "8 4",
"method_detail": "128-episode 4430-dim sensor NPZ simple heads; tasks 15/19 use compact proxies.",
"plotted_as": "colored point overlay",
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},
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},
{
"id": "raw128_neural_mlp",
"label": "128ep Raw NN",
"short_label": "128-RN",
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"kind": "complete_128_episode_raw_feature_baseline",
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"plotted_as": "colored point overlay",
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},
{
"id": "qwen3_omni_v6_lora",
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"short_label": "Qwen3",
"color": "#9bb8ff",
"kind": "partial_128_episode_foundation_model_overlay",
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"stroke_dasharray": "7 7",
"method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future-task probes scored from task-specific JSON.",
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},
{
"id": "cosmos3_super_reasoner",
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"kind": "partial_128_episode_foundation_model_overlay",
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"plotted_as": "colored point overlay",
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},
{
"id": "cosmos3_nano_future_window",
"label": "Cosmos3-Nano Future Window",
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"color": "#d9c7ff",
"kind": "partial_128_episode_world_model_overlay",
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"plotted_as": "colored point overlay",
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}
],
"tasks": [
{
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"label": "Action Recognition",
"axis_label": "01 Action Recognition",
"short_label": "Action",
"origin": "original_public_sample_tasks",
"metric_key": "macro_f1",
"metric_name": "macro-F1",
"metric_direction": "higher",
"raw128_proxy_axis": false,
"values": {
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"status": "scored",
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},
"neural_mlp": {
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},
{
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"metadata128_neural_mlp": {
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}
}
},
{
"task_number": 3,
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"label": "Action Boundary Detection",
"axis_label": "03 Action Boundary Detection",
"short_label": "Boundary",
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},
{
"task_number": 4,
"task_id": "next_action",
"label": "Next-Action Prediction",
"axis_label": "04 Next-Action Prediction",
"short_label": "Next act",
"origin": "original_public_sample_tasks",
"metric_key": "macro_f1",
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