{
  "generated_at_utc": "2026-06-21T11:49:06+00:00",
  "interpretation_rule": "Use the 1-episode line for task construction and reproducibility claims. Use the 128-episode line for same-split metadata/raw baselines, Qwen3-Omni v6 LoRA diagnostics, and Cosmos3 diagnostics.",
  "lines": [
    {
      "artifact_entry_points": [
        "docs/data/single_episode_task_model_radar.json",
        "docs/data/two_evidence_line_result_summary.json",
        "results/episode_task_suite/summary_report.json",
        "results/episode_task_suite/feature_manifest.json",
        "docs/single_episode_explorer.html"
      ],
      "claim_boundary": "Supports task construction, file inspection, local reproducibility, and controlled single-episode baseline claims.",
      "data_unit": "One public Xperience-10M sample episode",
      "direct_scored_method_task_count": 40,
      "id": "single_public_sample_episode",
      "label": "1 sample episode",
      "method_count": 2,
      "method_task_record_count": 40,
      "methods": [
        {
          "direct_scored_task_count": 20,
          "id": "minimal",
          "label": "Minimal",
          "method_detail": "Single-episode simple heads over the public sample split.",
          "proxy_scored_task_count": 0,
          "result_record_count": 20,
          "scope": "1 public sample episode",
          "scored_task_count": 20,
          "status_counts": {
            "scored": 20
          }
        },
        {
          "direct_scored_task_count": 20,
          "id": "neural_mlp",
          "label": "Neural MLP",
          "method_detail": "Single-episode compact PyTorch MLP heads on the same 20 task contracts.",
          "proxy_scored_task_count": 0,
          "result_record_count": 20,
          "scope": "1 public sample episode",
          "scored_task_count": 20,
          "status_counts": {
            "scored": 20
          }
        }
      ],
      "not_for": "Do not use this line as evidence of multi-episode generalization.",
      "primary_use": "Inspect raw files, understand each task, rerun local baselines, and debug task quality.",
      "primary_visuals": [
        "docs/assets/charts/two_evidence_line_map.svg",
        "docs/assets/charts/single_episode_task_model_radar.svg"
      ],
      "proxy_scored_method_task_count": 0,
      "result_statement": "40/40 direct scores from Minimal and Neural MLP heads on the same 20 task contracts.",
      "scored_method_task_count": 40,
      "short_label": "Line 1",
      "task_count": 20
    },
    {
      "artifact_entry_points": [
        "docs/data/episode128_task_model_radar.json",
        "docs/data/two_evidence_line_result_summary.json",
        "docs/data/xperience10m_128_episode_feature_index.json",
        "docs/data/omni_model_comparison.json",
        "docs/data/qwen3_omni_run_lineage.json",
        "docs/data/task_method_20_gap_audit.json"
      ],
      "claim_boundary": "Supports same-split metadata/raw baseline comparison, Qwen3-Omni v6 diagnostics, Cosmos3 diagnostics, and scale-up planning on public-safe processed artifacts.",
      "data_unit": "Selected held-out 96/16/16 split with public-safe processed features linked to official gated episode paths",
      "direct_scored_method_task_count": 134,
      "id": "selected_128_episode_surface",
      "label": "128 selected episodes",
      "method_count": 7,
      "method_task_record_count": 140,
      "methods": [
        {
          "direct_scored_task_count": 19,
          "id": "metadata128_simple",
          "label": "128ep Aligned Simple",
          "method_detail": "128-episode aligned simple baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
          "proxy_scored_task_count": 1,
          "result_record_count": 20,
          "scope": "128 selected episodes, JSONL metadata/text plus staged sensor-block targets where available",
          "scored_task_count": 20,
          "status_counts": {
            "proxy_scored": 1,
            "scored": 19
          }
        },
        {
          "direct_scored_task_count": 19,
          "id": "metadata128_neural_mlp",
          "label": "128ep Aligned NN",
          "method_detail": "128-episode aligned MLP baselines: JSONL metadata/text tasks plus staged sensor-block tasks where the processed target exists.",
          "proxy_scored_task_count": 1,
          "result_record_count": 20,
          "scope": "128 selected episodes, JSONL metadata/text plus staged sensor-block targets where available",
          "scored_task_count": 20,
          "status_counts": {
            "proxy_scored": 1,
            "scored": 19
          }
        },
        {
          "direct_scored_task_count": 18,
          "id": "raw128_simple",
          "label": "128ep Raw Simple",
          "method_detail": "128-episode 4430-dim sensor NPZ simple heads; tasks 15/19 use compact proxies.",
          "proxy_scored_task_count": 2,
          "result_record_count": 20,
          "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
          "scored_task_count": 20,
          "status_counts": {
            "proxy_scored": 2,
            "scored": 18
          }
        },
        {
          "direct_scored_task_count": 18,
          "id": "raw128_neural_mlp",
          "label": "128ep Raw NN",
          "method_detail": "128-episode 4430-dim sensor NPZ MLP heads; tasks 15/19 use compact proxies.",
          "proxy_scored_task_count": 2,
          "result_record_count": 20,
          "scope": "128 selected episodes, staged 4430-dim sensor NPZ features; 2 compact proxy axes",
          "scored_task_count": 20,
          "status_counts": {
            "proxy_scored": 2,
            "scored": 18
          }
        },
        {
          "direct_scored_task_count": 20,
          "id": "qwen3_omni_v6_lora",
          "label": "Qwen3-Omni v6 LoRA",
          "method_detail": "Verified held-out Qwen3-Omni v6 LoRA metrics, plus task 16 and any completed private-GPU future/retrieval/sensor-target probes scored from task-specific JSON.",
          "proxy_scored_task_count": 0,
          "result_record_count": 20,
          "scope": "128 selected episodes, held-out test",
          "scored_task_count": 20,
          "status_counts": {
            "scored": 20
          }
        },
        {
          "direct_scored_task_count": 20,
          "id": "cosmos3_super_reasoner",
          "label": "Cosmos3-Super Reasoner",
          "method_detail": "Verified Cosmos3-Super base-weight Reasoner JSON-task evaluation, plus task 5/8/9/10/11/12/13/14/16/17/18/19/20 probes where public metrics exist.",
          "proxy_scored_task_count": 0,
          "result_record_count": 20,
          "scope": "128 selected episodes, held-out test",
          "scored_task_count": 20,
          "status_counts": {
            "scored": 20
          }
        },
        {
          "direct_scored_task_count": 20,
          "id": "cosmos3_nano_future_window",
          "label": "Cosmos3-Nano Future Window",
          "method_detail": "Verified Cosmos3-Nano future-window compatibility metrics, plus model-output probes for tasks 2/5/7/8/10/11/12/13/14/15/16/17/18/19 and a derived task-20 boundary timing probe scored from held-out future-window artifacts.",
          "proxy_scored_task_count": 0,
          "result_record_count": 20,
          "scope": "128 selected episodes, held-out test",
          "scored_task_count": 20,
          "status_counts": {
            "scored": 20
          }
        }
      ],
      "not_for": "Do not read compact-proxy cells as direct raw-target measurements.",
      "primary_use": "Compare same-split metadata/raw baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, and Cosmos3-Nano Future Window while keeping evidence type explicit.",
      "primary_visuals": [
        "docs/assets/charts/two_evidence_line_map.svg",
        "docs/assets/charts/episode128_task_model_radar.svg",
        "docs/assets/charts/unified_task_model_radar.svg"
      ],
      "proxy_scored_method_task_count": 6,
      "result_statement": "140/140 selected-128 scores across seven methods: 134 direct scores plus 6 documented compact-proxy scores.",
      "scored_method_task_count": 140,
      "short_label": "Line 2",
      "task_count": 20
    }
  ],
  "method_blocks": [
    {
      "block": "Task-head baselines",
      "direct_scored_method_task_count": 40,
      "evidence_type": "Direct target metrics on the public sample windows.",
      "line_id": "single_public_sample_episode",
      "line_label": "1 sample episode",
      "method_ids": [
        "minimal",
        "neural_mlp"
      ],
      "method_task_record_count": 40,
      "methods": [
        "Minimal",
        "Neural MLP"
      ],
      "proxy_scored_method_task_count": 0,
      "read_as": "Task construction, local reproducibility, and Minimal-vs-Neural behavior.",
      "scored_method_task_count": 40
    },
    {
      "block": "Aligned baseline heads",
      "direct_scored_method_task_count": 74,
      "evidence_type": "Direct processed-target metrics where available; compact proxies for documented raw-target gaps.",
      "line_id": "selected_128_episode_surface",
      "line_label": "128 selected episodes",
      "method_ids": [
        "metadata128_simple",
        "metadata128_neural_mlp",
        "raw128_simple",
        "raw128_neural_mlp"
      ],
      "method_task_record_count": 80,
      "methods": [
        "128ep Aligned Simple",
        "128ep Aligned NN",
        "128ep Raw Simple",
        "128ep Raw NN"
      ],
      "proxy_scored_method_task_count": 6,
      "read_as": "Same-split metadata/raw-feature baseline comparison.",
      "scored_method_task_count": 80
    },
    {
      "block": "Qwen3-Omni series",
      "direct_scored_method_task_count": 20,
      "evidence_type": "Verified selected-128 Qwen3-Omni v6 LoRA plus source-linked task-specific probes.",
      "line_id": "selected_128_episode_surface",
      "line_label": "128 selected episodes",
      "method_ids": [
        "qwen3_omni_v6_lora"
      ],
      "method_task_record_count": 20,
      "methods": [
        "Qwen3-Omni v6 LoRA"
      ],
      "proxy_scored_method_task_count": 0,
      "read_as": "Trainable Qwen3-Omni diagnostic baseline on the selected-128 surface.",
      "scored_method_task_count": 20
    },
    {
      "block": "Cosmos3 series",
      "direct_scored_method_task_count": 40,
      "evidence_type": "Verified Cosmos3-Super Reasoner and Cosmos3-Nano Future Window public-safe artifacts.",
      "line_id": "selected_128_episode_surface",
      "line_label": "128 selected episodes",
      "method_ids": [
        "cosmos3_super_reasoner",
        "cosmos3_nano_future_window"
      ],
      "method_task_record_count": 40,
      "methods": [
        "Cosmos3-Super Reasoner",
        "Cosmos3-Nano Future Window"
      ],
      "proxy_scored_method_task_count": 0,
      "read_as": "Cosmos3 reasoner and future-window diagnostics on the selected-128 surface.",
      "scored_method_task_count": 40
    }
  ],
  "proxy_records": [
    {
      "line_id": "selected_128_episode_surface",
      "method": "128ep Raw Simple",
      "metric_key": "macro_f1",
      "reason": "documented compact proxy completion for this raw128 task axis",
      "series_id": "raw128_simple",
      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/interaction_text_prediction/metrics.json",
      "task_id": "interaction_text_prediction",
      "task_label": "Interaction Text Prediction",
      "task_number": 15
    },
    {
      "line_id": "selected_128_episode_surface",
      "method": "128ep Raw NN",
      "metric_key": "macro_f1",
      "reason": "documented compact proxy completion for this raw128 task axis",
      "series_id": "raw128_neural_mlp",
      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/interaction_text_prediction/metrics.json",
      "task_id": "interaction_text_prediction",
      "task_label": "Interaction Text Prediction",
      "task_number": 15
    },
    {
      "line_id": "selected_128_episode_surface",
      "method": "128ep Aligned Simple",
      "metric_key": "mrr",
      "reason": "paired camera-view embeddings are absent from the 128 JSONL/feature export; metadata features retrieve the synchronized same-window depth/audio block as a documented compact synchronization proxy",
      "series_id": "metadata128_simple",
      "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/camera_view_sync_retrieval/metrics.json",
      "task_id": "camera_view_sync_retrieval",
      "task_label": "Camera-View Synchronization Retrieval",
      "task_number": 19
    },
    {
      "line_id": "selected_128_episode_surface",
      "method": "128ep Aligned NN",
      "metric_key": "mrr",
      "reason": "paired camera-view embeddings are absent from the 128 JSONL/feature export; metadata features retrieve the synchronized same-window depth/audio block as a documented compact synchronization proxy",
      "series_id": "metadata128_neural_mlp",
      "source": "results/omni_finetune/a100_128_metadata_task_baselines_20260616_v2/neural_mlp/camera_view_sync_retrieval/metrics.json",
      "task_id": "camera_view_sync_retrieval",
      "task_label": "Camera-View Synchronization Retrieval",
      "task_number": 19
    },
    {
      "line_id": "selected_128_episode_surface",
      "method": "128ep Raw Simple",
      "metric_key": "mrr",
      "reason": "documented compact proxy completion for this raw128 task axis",
      "series_id": "raw128_simple",
      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/simple_raw128/camera_view_sync_retrieval/metrics.json",
      "task_id": "camera_view_sync_retrieval",
      "task_label": "Camera-View Synchronization Retrieval",
      "task_number": 19
    },
    {
      "line_id": "selected_128_episode_surface",
      "method": "128ep Raw NN",
      "metric_key": "mrr",
      "reason": "documented compact proxy completion for this raw128 task axis",
      "series_id": "raw128_neural_mlp",
      "source": "results/omni_finetune/a100_128_raw20_task_baselines_complete20_proxy_20260616T091500Z/neural_mlp_raw128/camera_view_sync_retrieval/metrics.json",
      "task_id": "camera_view_sync_retrieval",
      "task_label": "Camera-View Synchronization Retrieval",
      "task_number": 19
    }
  ],
  "reader_policy": {
    "proxy_policy": "Proxy-scored cells stay numeric only when the source artifact and reason are attached; they should not be read as direct raw-target measurements.",
    "selected_128_episode_surface": "Use for held-out comparison, metadata/raw-feature baselines, Qwen3-Omni v6 LoRA, Cosmos3-Super Reasoner, Cosmos3-Nano Future Window, and scale-up decisions.",
    "single_public_sample_episode": "Use for task construction, raw-file inspection, local reproducibility, and controlled Minimal-vs-Neural baseline behavior."
  },
  "reader_summary": "The suite has two public evidence lines. Line 1 is the fully inspectable one-episode task lab. Line 2 is the 128-episode comparison surface for aligned baselines, the Qwen3-Omni series, and the Cosmos3 series. Do not mix the two when reading scores.",
  "reading_order": [
    {
      "reason": "Line 1 answers task-lab and reproducibility questions; line 2 answers selected-128 comparison questions.",
      "step": "Choose the evidence line"
    },
    {
      "reason": "Use the 1-episode radar for Minimal-vs-Neural behavior and the 128-episode radar for metadata/raw baselines, Qwen3-Omni v6, Cosmos3-Super, and Cosmos3-Nano.",
      "step": "Open the matching radar"
    },
    {
      "reason": "Every numeric score is tied to a method, task, metric key, source artifact, and proxy flag.",
      "step": "Inspect the matrix row"
    },
    {
      "reason": "The six compact-proxy cells are numeric but are not direct raw-target measurements.",
      "step": "Check proxy cells before interpreting totals"
    }
  ],
  "related_model_artifacts": [
    {
      "name": "Qwen3-Omni v1-v6 run lineage",
      "repo": "docs/data/qwen3_omni_run_lineage.json",
      "role": "Explains the LoRA/evaluation version ladder; v6 is the current 20-task matrix row, v5 remains the pinned prior release, and v1-v4 are lineage/ablation evidence."
    },
    {
      "name": "Cosmos3-Super Forward-Dynamics LoRA",
      "repo": "https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep",
      "role": "Separate fine-tuned adapter artifact for forward-dynamics loss metrics; published with weights/results but not counted as a 20-task matrix method row."
    }
  ],
  "score_formula": "2 single-episode methods x 20 tasks = 40 records; 7 selected-128 methods x 20 tasks = 140 records; total public matrix = 180/180 scored records.",
  "source_lines": "docs/data/two_evidence_lines.json",
  "source_matrix": "docs/data/task_method_20_result_matrix.json",
  "status": "pass",
  "summary": {
    "direct_scored_method_task_count": 174,
    "line_count": 2,
    "method_count": 9,
    "method_task_record_count": 180,
    "proxy_scored_method_task_count": 6,
    "scored_method_task_count": 180,
    "task_count": 20
  },
  "title": "Two Evidence-Line Result Summary"
}