diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--3sxt4sq.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--3sxt4sq.json
new file mode 100644
index 0000000000000000000000000000000000000000..5831b69a915df40815c3ba2a137c2b4e0eaafe7e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--3sxt4sq.json
@@ -0,0 +1,209 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-privileged--3sxt4sq",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.5,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 397,
+   "sim_steps": 397,
+   "horizon": 900,
+   "episode_over": 1,
+   "progress": 0.5,
+   "stages_reached": 1,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 4.94,
+   "bad_trajectory": 0,
+   "metric_catch_height_m": 1.387,
+   "metric_catch_speed_m_s": 9.398,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 38,
+   "agent_resets": 87,
+   "agent_replays": 1,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.751,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.028,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-privileged--3sxt4sq/replay.mp4",
+  "duration_s": 4.0,
+  "fps": 25.0,
+  "frames": 100,
+  "sha256": "9c68b3fcefef1e8bf568d22fce8ed88ae0211195d201220026017952abff9699"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在场地内，手中无球；视频 1.60–3.60 s 机器人双足移动并逐渐伸出右臂迎球，全段至视频 3.96 s 未见摔倒。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 158,
+      "text_zh": "观察：逐帧检查视频 3.00–3.96 s，白球在视频 3.92 s 位于右手上方，在视频 3.96 s 到达右手处。log step 158 对实际交付 trajectory.npz 的独立进程重放由原生裁判返回 stages=[catch]、progress=0.5、success=false、failed=the ball came out of the hand after the catch，executed_rows=397；run.json 的 deterministic=1、stages_reached=1/2、n_actions=397 与此相符。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 164,
+      "text_zh": "推断：右手曾短暂包住球，但随后失去包围接触，未完成同手保持100个控制步的验收，故完整节点从未成立；原生catch阶段不单独计作DAG节点。log step 164 再生成的交付文件哈希相同且仍报告接住后脱手；未把会话内其他试验当作本次视频进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频 3.92–3.96 s 白球下降到机器人伸出的右手处；log step 158 对交付文件的原生裁判重放确认catch阶段，支持右手手指与拇指或掌部曾从相对两侧包住球，随后脱手。远景无法分辨具体指节。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.60–3.96 s 机器人双足在地面交替支撑并向落点移动，伸右手接球时仍直立，未见非足部触地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.387
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": 9.398
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 158,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.92–3.96 s 机器人正伸右手接下降的白球；log step 158 的交付文件重放裁判确认接住后球脱手、只达到catch而未达到hold，评分在397个控制步后结束。本断点位于接稳飞球步骤的持球操作中，视频 3.96 s 为末段接球处的近似导航锚点。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 3.96,
+    "log_step": 158,
+    "evidence_zh": "推断：视频 3.92–3.96 s 白球到达右手；log step 158 原生裁判对实际交付文件明确报告catch后球从手中出来，且只有catch阶段、没有hold阶段。因此是建立包围抓握后未保持住，未见机器人摔倒；细小脱手过程由裁判结果佐证，不能从远景直接辨清。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "log_step": 165,
+    "source_zh": "agent 自述 / 日志",
+    "evidence_zh": "推断：agent 在 log step 165 自述最终拦截姿态使球浅入指缘，未深入预闭合的手内便弹出；log step 157 的交付说明也承认该接触几何不能保持球。log step 158 对交付文件的独立重放确认短暂catch后脱手，log step 161 的闭手时机和掌倾角变体仍未成功，支持所用包围接触布局不稳定这一解释。指缘浅入的具体几何仍仅来自agent自述，待核实；未验证本次模型与初态下可行的替代抓法。"
+   }
+  ],
+  "gap_zh": "观察：inputs/提供视频和完整运行记录，但没有状态日志。视频为640×360远景、25 fps，球与指节仅占少数像素；视频 3.92–3.96 s 只能看出白球到达右手，无法独立核实包围接触方向、0.02秒中断及具体脱手瞬间，短暂接住后丢失依据交付文件的原生裁判结果。指缘浅入的几何解释来自 log step 165 的agent自述，缺少该交付轨迹逐物理步接触与力记录；成功参考视频仅用于比较外观，不能验证当前轨迹的微观接触或替代抓法。"
+ },
+ "summary_zh": "机器人移动到落点附近并伸右手接球，原生裁判确认短暂接住，但随即脱手，未完成保持窗口，完整DAG节点为0/1。断点在视频约 3.96 s 的接稳飞球操作中，现象为没保持住；抓取和接触设计根因依据agent对球浅入指缘的自述及交付重放结果推断。无状态日志，远景无法独立核实指节接触、毫秒级失握及具体接触几何。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点 fly_ball_caught=false、断点、现象（没保持住）与根因均有 log step 158/164 的原生裁判重放佐证，视频帧显示机器人移动并伸臂、未摔倒，与标注一致；未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-30T23:59:41Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--3sxt4sq/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--3sxt4sq/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ad56d57f48b67a307704beff984962df42c23626cb26235da34f03f171f23144",
+   "video_sha256": "9c68b3fcefef1e8bf568d22fce8ed88ae0211195d201220026017952abff9699",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--jmjt3tc.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--jmjt3tc.json
new file mode 100644
index 0000000000000000000000000000000000000000..8c044e9a16df056f91faf2df88e6377810ba8acc
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--jmjt3tc.json
@@ -0,0 +1,193 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-privileged--jmjt3tc",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 494,
+   "sim_steps": 494,
+   "horizon": 900,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 10.77,
+   "bad_trajectory": 0,
+   "metric_catch_height_m": 1.343,
+   "metric_catch_speed_m_s": 6.906,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 23,
+   "agent_resets": 681,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.727,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.251,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-privileged--jmjt3tc/replay.mp4",
+  "duration_s": 4.96,
+  "fps": 25.0,
+  "frames": 124,
+  "sha256": "d4ee3e745b26d8363a369a1b6b3ac7b3ec768fda871fe2a624c4094814395849"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.94,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.52 s 的顺序抽帧中，机器人从初始位置迈步移动，随后抬起右臂；起始没有持球，尚未完成接稳飞球。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 3.76–4.92 s；视频 3.88–3.92 s 白色小球仍在伸出手的上方，视频 3.96 s 到达手边，视频 4.00–4.92 s 持续留在该手末端并随手移动；机器人双脚支撑身体，没有倒地。"
+     },
+     {
+      "t": 4.92,
+      "log_step": null,
+      "text_zh": "观察：视频 4.92 s 末帧仍见小球留在伸出的手边。inputs/run.json 的原生评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2、stages_total=2、fell=0，确认本次交付重放通过接球及保持验收。"
+     },
+     {
+      "t": 4.94,
+      "log_step": 57,
+      "text_zh": "推断：log step 57 的交付脚本在控制步索引 394 下达右手全闭合命令；log step 6 的接口说明给出每控制步 0.01 s，故对应视频约 3.94 s，已用视频 3.92–3.96 s 小球到手的画面核对。评分器记录交付重放共 494 个控制步并成功终止，故接稳窗口完成约在视频 4.94 s（约一帧误差），与视频 4.92 s 末帧及 4.96 s 总长相符；此前只有接球，尚未完成整段保持。"
+     },
+     {
+      "t": 4.92,
+      "log_step": 62,
+      "text_zh": "观察：agent 在 log step 62 自述交付文件为 494 行动作，两次独立重放均通过 catch、hold；这与评分器记录及视频末段一致。远景不能逐一分辨四指、拇指或掌部接触及 0.02 s 中断，微观包围接触和保持计数以本次原生裁判成功验收佐证。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频 3.96–4.92 s 小球到达并留在机器人伸出的右手末端；log step 57 的交付脚本控制右手闭合，结合本次原生裁判通过包围接触和保持验收，判为右手抓握棒球。远景不能分辨各手指的具体接触面。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.52 s 机器人双脚交替落地迈步到接球位置，视频 3.96–4.92 s 接球持球期间双脚继续支撑身体，未见摔倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.343
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": 6.906
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人迈步到接球位置后，用右手接住下降的小球并保持，约在视频 4.94 s 完成接稳飞球节点，最终 1/1；本次原生评分器确认接球、保持均通过且未摔倒。无状态日志，远景只能看清球到手并持续留在手边，不能直接分辨接触夹角和毫秒级中断，相关细节依据本次原生裁判成功记录；完成时刻由交付控制步数映射并用视频到手事件核对。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "节点 fly_ball_caught 在视频约 4.94 s 达成、最终 1/1、成功无 failure，与原生评分器字段和视频末段一致；控制步映射已说明并用视频到手事件核对，接触标签合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:08:09Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--jmjt3tc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--jmjt3tc/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "4b9cfc852c8086200bf1e44a97b33891e14c0d3a3be229cc679a35a5f53fb6c1",
+   "video_sha256": "d4ee3e745b26d8363a369a1b6b3ac7b3ec768fda871fe2a624c4094814395849",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--p3lvwnd.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--p3lvwnd.json
new file mode 100644
index 0000000000000000000000000000000000000000..d16499cdf649aadbd2aa0ef3018fef8fd10ff893
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--p3lvwnd.json
@@ -0,0 +1,188 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-privileged--p3lvwnd",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 494,
+   "sim_steps": 494,
+   "horizon": 900,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 5.92,
+   "bad_trajectory": 0,
+   "metric_catch_height_m": 1.33,
+   "metric_catch_speed_m_s": 9.049,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 103,
+   "agent_resets": 308,
+   "agent_replays": 6,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 2.065,
+   "peak_processes": 20,
+   "peak_disk_gb": 0.988,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-privileged--p3lvwnd/replay.mp4",
+  "duration_s": 4.96,
+  "fps": 25.0,
+  "frames": 124,
+  "sha256": "809887032e910649cd55be616abe9213d05b202f235db7eb5bbabc5f49fcf872"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在场地上，手中没有球；视频 0.40–3.60 s 机器人迈步移动并将一臂伸向来球方向，此时尚未完成接稳。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 3.44–4.92 s，视频 3.92 s 小白球在伸出的手上方，视频 3.96 s 球到达该手，随后到视频 4.92 s 均留在手边并随手略微上抬；另一只手在腰侧，机器人保持站立。此处初次接到球还不是满保持窗口的完成时刻。"
+     },
+     {
+      "t": 4.92,
+      "log_step": 193,
+      "text_zh": "观察：inputs/run.json 的 reward 报告 success=1、replay_success=1、deterministic=1、stages_reached=2/2、fell=0；log step 193 中对最终交付文件的两次独立重放均报告 success=True、stages=[catch,hold]、494行且末态一致。log step 191 再生成的交付文件与此前成功文件逐项相同。"
+     },
+     {
+      "t": 4.92,
+      "log_step": 170,
+      "text_zh": "推断：结合视频 3.92 s 球尚在空中、视频 3.96–4.92 s 球一直随同一只手运动，以及原生裁判确认 catch、hold 两阶段全部通过，接稳节点在片尾约视频 4.92 s 达成并保持至结束；到达时间以所见末帧近似标记。log step 170 的交付重放报告仿真 4.94 s 结束，与片尾相符，但未将 agent 会话时间换算成视频时间。远景不能逐项辨认手指接触方向和0.02秒中断，完整验收依原生成功结果佐证。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频 3.96–4.92 s 小球停留在机器人伸出的右手中并随手运动，结合 log step 194 对右臂接球的描述和原生 catch、hold 验收通过，右手手指与拇指或掌部包住棒球；另一只手在腰侧，未参与夹持。远景不足以单独辨认各指接触点。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.40–3.60 s 机器人用双腿迈步接近来球位置；视频 3.96–4.92 s 双脚在地面支撑身体，持球期间保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.33
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": 9.049
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人移动到接球位置，视频 3.96 s 右手接到下降的小球，随后同手持球并保持站立至视频 4.92 s 末帧；接稳飞球节点在片尾约视频 4.92 s 完成，最终达到1/1节点。原生评分及最终文件的独立重放均确认接球和保持两阶段通过，没有失败断点。无状态日志，远景无法精确核验接触夹角、毫秒级中断和保持计数，完整验收由裁判成功结果佐证，节点完成时间为片尾近似值。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "成功运行，单节点接稳飞球在片尾约 4.92 s 达成，与视频 3.96 s 接到球加约1秒保持及原生 success/stages 2/2 一致；接触标签合理，无失败断点。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:05:07Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--p3lvwnd/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--p3lvwnd/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f524b9aec55bb23e95a90559c8f973c10185a498dd4b9e6c9c771adbfc40c052",
+   "video_sha256": "809887032e910649cd55be616abe9213d05b202f235db7eb5bbabc5f49fcf872",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--u8zdmbr.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--u8zdmbr.json
new file mode 100644
index 0000000000000000000000000000000000000000..48af7e6777304824992bbaa5e20f03825c23047c
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--u8zdmbr.json
@@ -0,0 +1,188 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-privileged--u8zdmbr",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 499,
+   "sim_steps": 499,
+   "horizon": 900,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 5.88,
+   "bad_trajectory": 0,
+   "metric_catch_height_m": 1.09,
+   "metric_catch_speed_m_s": 0.909,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 180,
+   "agent_resets": 0,
+   "agent_replays": 5,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.536,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.251,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-privileged--u8zdmbr/replay.mp4",
+  "duration_s": 5.0,
+  "fps": 25.0,
+  "frames": 125,
+  "sha256": "5bf3c17b23796a28f1896fc4f960c73d89e533ac52d4bd072d1d89f455214abb"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.99,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00 s机器人直立、双手未持球；视频0.40–3.68 s机器人向前侧方行走，伸出的手保持在身前。初态尚未满足接稳飞球条件。"
+     },
+     {
+      "t": 4.0,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频3.76–4.08 s及每0.08秒检查视频4.12–4.92 s，白球从机器人前上方下降，在视频约3.96–4.00 s到达伸出的右手，此后停留在右手处随机器人移动；视频4.96 s末帧球仍在右手处，机器人没有摔倒。成功参考录像视频约3.9–4.92 s也呈现球留在伸出右手的外观，仅作视角比较。"
+     },
+     {
+      "t": 4.96,
+      "log_step": 137,
+      "text_zh": "观察：log step 135–136生成并保存交付轨迹；log step 137对该文件的正式重放报告success=true、stages=[catch,hold]、executed_rows=499，原生裁判事件为仿真3.998 s右手catch、仿真4.99 s完成hold并成功；log step 139的两个新进程重放均成功且末态哈希一致。评分器reward另报告success=1、replay_success=1、deterministic=1、stages_reached=2、fell=0。"
+     },
+     {
+      "t": 4.99,
+      "log_step": 137,
+      "text_zh": "推断：交付文件的499个10毫秒控制步共仿真4.99 s，与视频5.00 s时长吻合；log step 137的仿真3.998 s接住事件已在视频3.96–4.08 s球停留右手处核对。因此把原生hold完成映射至视频约4.99 s作为节点起点，末帧视频4.96 s提供可见锚点。远景不能分辨相对接触方向及0.02秒中断，单手包围接触满100步由正式重放裁判和最终评分佐证，未将最初触球当作完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频约4.00–4.96 s白球留在伸出的右手并随手移动。推断：结合log step 137正式重放的右手catch与hold成功记录，实际为右手四指与拇指或掌部包围抓握球；远景无法逐指辨认接触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.40–4.96 s机器人以双足交替触地行走至接球处，接球后继续步行，腿脚持续支撑身体，未见摔倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.09
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": 0.909
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人行走到飞球落点附近，在视频约4.00 s用右手接到下降的球，球随右手移动至视频4.96 s末帧，机器人保持站立。正式交付重放在仿真4.99 s完成原生保持窗口，映射到视频约4.99 s，接稳飞球节点最终为1/1，评分器确认成功。没有状态日志，远景无法独立分辨接触夹角和毫秒中断；这些细节由正式重放的catch、hold记录及确定性成功评分佐证。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "成功运行，接稳飞球节点终值1/1由评分器（success=1、stages_reached=2/2、fell=0）及正式重放catch/hold记录支持；时钟换算（499步×10 ms=4.99 s，对应视频5.00 s）有说明，接触标签合理，无failure。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:07:24Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--u8zdmbr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--u8zdmbr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8f7d47ff94b0dbf52464388af93b74899fa2e020e72496fb81d5e435e638c561",
+   "video_sha256": "5bf3c17b23796a28f1896fc4f960c73d89e533ac52d4bd072d1d89f455214abb",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--v7zjg7v.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--v7zjg7v.json
new file mode 100644
index 0000000000000000000000000000000000000000..2829b8546ca3d60e51b968600398057f836306fe
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--v7zjg7v.json
@@ -0,0 +1,183 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-privileged--v7zjg7v",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 494,
+   "sim_steps": 494,
+   "horizon": 900,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 4.61,
+   "bad_trajectory": 0,
+   "metric_catch_height_m": 1.338,
+   "metric_catch_speed_m_s": 2.45,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 166,
+   "agent_resets": 1448,
+   "agent_replays": 38,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.759,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.837,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-privileged--v7zjg7v/replay.mp4",
+  "duration_s": 4.96,
+  "fps": 25.0,
+  "frames": 124,
+  "sha256": "603f6d31386a5890c30645cfafb901607028d4d7f79933956406f269e4a34f32"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.92,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.92 s，机器人双足交替迈步移向落点，抬起并伸出右手；视频 3.92 s 白球仍在右手上方，尚未完成接稳。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 3.20–4.92 s；视频 3.92 s 白球向手部下降，视频 3.96 s 白球已到达伸出的右手，视频 4.00–4.92 s 留在该手处随手部小幅运动，未见再次飞离或落地，机器人始终直立。"
+     },
+     {
+      "t": 4.92,
+      "log_step": null,
+      "text_zh": "推断：inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2、stages_total=2、fell=0，佐证交付轨迹通过原生接住和保持验收。结合视频 3.96–4.92 s 的持球画面，将包含100个控制步保持窗口的完整节点完成锚点记为视频 4.92 s（片尾约视频 4.9 s，非首次触球时刻）；远景不能独立测量包围接触夹角或0.02秒中断，完成时刻为近似定位。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频 3.96–4.92 s 白球停留在机器人伸出的右手处，结合评分器接住及保持两阶段成功，判为右手手指与拇指或掌部包住棒球；远景无法分辨各指接触点。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.92 s，机器人双脚交替与场地地面接触，腿部承重，迈步移至落点并在右手持球期间保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.338
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": 2.45
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人迈步移至落点，约在视频 3.96 s 用右手接到下降的白球，并保持至视频 4.92 s 片尾；结合评分器两阶段成功记录，接稳飞球节点在片尾约视频 4.9 s 完成，最终为1/1。实际接触为右手抓握棒球、双足及腿部支撑，未见脱球或摔倒。无状态日志，远景无法独立核验90°接触夹角及0.02秒中断，原生保持窗口由评分器成功记录佐证，节点完成时刻为近似定位。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点 fly_ball_caught 终值 true 与评分器 success=1、stages 2/2、fell=0 一致；完成锚点视频 4.92 s（约 3.96 s 接球 + 100 控制步）合理，接触标签与证据标注为推断，无需修改。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-30T23:59:38Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--v7zjg7v/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--v7zjg7v/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d77b9ef7e00792e132db5f6a9ade966bd14133bfc64394e5880bb6c23725c654",
+   "video_sha256": "603f6d31386a5890c30645cfafb901607028d4d7f79933956406f269e4a34f32",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--vvdbc3e.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--vvdbc3e.json
new file mode 100644
index 0000000000000000000000000000000000000000..858b56451d2f553c378c7fd4bf337223f6ea21c6
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--vvdbc3e.json
@@ -0,0 +1,208 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-privileged--vvdbc3e",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.5,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 398,
+   "sim_steps": 398,
+   "horizon": 900,
+   "episode_over": 1,
+   "progress": 0.5,
+   "stages_reached": 1,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 4.96,
+   "bad_trajectory": 0,
+   "metric_catch_height_m": 1.293,
+   "metric_catch_speed_m_s": 3.601,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 127,
+   "agent_resets": 478,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.098,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.241,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-privileged--vvdbc3e/replay.mp4",
+  "duration_s": 4.0,
+  "fps": 25.0,
+  "frames": 100,
+  "sha256": "29bf8dc2b0cd7a515b201c71646339690ce17c607d97e9da5b6da7c8aa78bf43"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–2.8 s，机器人双足向前方落点附近移动并保持站立；视频 3.0–3.96 s，机器人伸出右臂，下降的白球在视频 3.84–3.92 s 接近右手，视频末帧没有可辨认的一秒稳定持球过程。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 129,
+      "text_zh": "观察：log step 128 重新生成并写出最终交付的398行 trajectory.npz；log step 129 对该文件的重放报告“the ball came out of the hand after the catch”，stages=[catch]，catch_height_m=1.293、catch_speed_m_s=3.601，与评分器的 stages_reached=1/2、progress=0.5 一致。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 102,
+      "text_zh": "推断：log step 102 对同一交付文件的原生重放记录为 steps=398、time_s=3.98、stages=[catch]，末态哈希前缀与最终 log step 129 一致；结合视频末段球到右手附近的画面，判定曾形成短暂接住，但没有完成规定的同手保持窗口，故整个“接稳飞球”节点从未成立。视频时间锚来自所查帧，未用 agent 工作时间换算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：右手四指与拇指或掌部曾短暂从两侧包住棒球，随后失去包围；依据视频 3.92–3.96 s 球到伸出的右手附近，以及最终交付重放 log step 129 的 catch 阶段与接住后脱手结果。远景无法分辨各指接触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–3.96 s，机器人双脚交替接触场地地面、承重并向落点移动，在伸右手接球时仍站立；评分器 fell=0。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.293
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": 3.601
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 129,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.84–3.96 s 白球降至机器人伸出的右手附近，机器人仍站立，随后视频结束。log step 128 保存的最终交付在 log step 129 重放时仅到 catch 阶段，并明确报告“the ball came out of the hand after the catch”；接住后的保持失败未获修复，断点为接稳飞球。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 3.96,
+    "log_step": 129,
+    "evidence_zh": "观察：视频 3.84–3.96 s 机器人以伸出的右手迎接下降白球；最终交付重放 log step 129 报告接住后球脱手、stages=[catch]，与 log step 102 的原生重放失败原因相同，评分器也仅记录阶段进度0.5。短暂接住后保持失败，而非从未接住；远景不能单独显示脱离接触的毫秒过程。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 122 对相同接球参数的会话诊断中，agent 脚本调用原生 enclosed 判据并统计右手两组接触：仿真 3.95 s 曾为四指组2处、拇指或掌组3处且 enclosed=True，随后两组均降至0，后续仅有零星四指接触、拇指或掌组保持0，球沿+x方向移出。该诊断的接住高度、速度和失败原因均与最终交付重放 log step 129 一致，支持所用手指与掌部包围布局未能阻止球在减速后逸出。诊断属于会话根因证据，不用其仿真时间直接替代视频时间；冲击推开手指是 agent 在 log step 123 的解释，具体驱动力尚待核实，未验证本次手部模型下的可行替代握法。"
+   }
+  ],
+  "gap_zh": "没有逐帧状态日志；640×360、25 fps 远景及放大图无法核验90°包围接触、0.02秒中断或具体驱动力，微观脱手依据最终交付的原生重放结果，接触设计归因辅以相同参数的会话诊断而非逐帧状态证据。成功参照仅说明可见持球形态，其手部模型版本可能不同，不能证明本次参数下的替代握法可行。"
+ },
+ "summary_zh": "机器人走到落点附近并伸出右手，最终交付的原生重放确认短暂接住，但随即脱手，未完成一秒同手保持，因此唯一节点“接稳飞球”始终未达成，最终为0/1。断点在视频约 3.96 s 的接球保持过程中，现象为没保持住；相同参数的会话接触诊断支持手指与掌部包围布局未能阻止球逸出的控制问题。远景无法分辨毫秒接触和驱动力，微观判断依赖已核对交付身份的重放及会话诊断。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成(final=false)、断点 fly_ball_caught、现象“没保持住”均与 log step 102/122/129 的原生重放(stages=[catch]、接住后脱手)及评分器 progress=0.5 一致；视频仅 4 s，远景无法分辨手部接触，标注已将微观判断标为推断。未发现需改内容的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:02:53Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--vvdbc3e/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--vvdbc3e/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "3bb0d98dc865fd5b16b4d86b6c91b84086905b5b230a08bfd3e02a67b0bd5e0d",
+   "video_sha256": "29bf8dc2b0cd7a515b201c71646339690ce17c607d97e9da5b6da7c8aa78bf43",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--zbdkvfq.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--zbdkvfq.json
new file mode 100644
index 0000000000000000000000000000000000000000..dcbfdba043e8040c47f360191d4fd7ca575a23f7
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-privileged--zbdkvfq.json
@@ -0,0 +1,186 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-privileged--zbdkvfq",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 497,
+   "sim_steps": 497,
+   "horizon": 900,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 5.91,
+   "bad_trajectory": 0,
+   "metric_catch_height_m": 0.933,
+   "metric_catch_speed_m_s": 6.633,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 48,
+   "agent_resets": 349,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-privileged--zbdkvfq/replay.mp4",
+  "duration_s": 5.0,
+  "fps": 25.0,
+  "frames": 125,
+  "sha256": "eb9a528e4c92b68f8172e139f5d219861883770b6f69ea9f4e95adebbd3fc2c9"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0 s 机器人直立、双手尚未持球；视频 0.0–3.6 s 机器人在场地上向前移动并调整右臂，没有已接稳飞球的状态。"
+     },
+     {
+      "t": 4.0,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 3.76–4.16 s，小白球从机器人右上方下降，视频 3.96 s 仍在右手上方附近，视频 4.00–4.04 s 到达右手区域；随后小白点留在该手附近，机器人双脚交替支撑、身体直立。"
+     },
+     {
+      "t": 4.96,
+      "log_step": 36,
+      "text_zh": "观察：视频 4.04–4.96 s 的逐帧画面中，球留在右手附近，未见球另行落地或机器人倒下；log step 36 显示 agent 保存497行轨迹，官方重放返回 success=true、stages=[catch,hold]、executed_rows=497、time_s=4.97；run.json 的评分字段 success=1、replay_success=1、stages_reached=2、fell=0。"
+     },
+     {
+      "t": 4.96,
+      "log_step": 37,
+      "text_zh": "推断：视频所见接球并保持至片尾与交付文件的官方重放成功一致，log step 37 又报告第二次重放 success 且末态哈希相同，故接稳飞球节点在终态为真。判据包括完整持球窗口，不能把视频约4.00 s 的初次接球当作完成；将完成锚定于视频末帧4.96 s，精度约一帧。远景不能验证90°接触夹角或0.02秒中断，这些微观条件依据原生裁判成功结论，而非直接目测。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "机器人右手接住下降的棒球并持续持球；视频约4.00–4.96 s 可见球到达并留在右手附近，结合原生 catch、hold 阶段通过，推断右手手指与拇指或掌部形成包围抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚与地面交替接触，腿部支撑身体向接球位置移动，并在右手持球时保持直立；已查看视频全程及4.00–4.96 s 逐帧画面。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.933
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": 6.633
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人移动至落点附近，用右手接住下降的飞球并保持到片尾，完成接稳飞球节点（终态1/1）。视频约4.00 s 可见球到达右手，完整持球窗口的完成锚定在视频4.96 s；交付文件两次官方重放均成功且末态哈希一致，故没有失败断点。没有状态日志，640×360远景不能直接验证接触夹角和毫秒级中断，微观抓握与保持条件以原生裁判成功记录佐证，完成时刻约有一帧误差。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "成功运行，评分字段 success=1、stages 2/2、fell=0，接稳飞球节点终态为真与证据一致；远景帧无矛盾，完成时刻锚定片尾可接受，无失败断点。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:08:40Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--zbdkvfq/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-privileged--zbdkvfq/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "44e7b1f6af95b0a97deccc38c3135c70d23d82cd9677a40bfaa85caf08245c01",
+   "video_sha256": "eb9a528e4c92b68f8172e139f5d219861883770b6f69ea9f4e95adebbd3fc2c9",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--bptya9r.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--bptya9r.json
new file mode 100644
index 0000000000000000000000000000000000000000..54a80384c21dbed64d3b95249977744276504a26
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--bptya9r.json
@@ -0,0 +1,208 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--bptya9r",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 398,
+   "sim_steps": 802,
+   "calls": 39,
+   "rows": 802,
+   "resets": 1,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 6726.5,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.241,
+   "peak_processes": 13,
+   "peak_disk_gb": 2.791,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--bptya9r/replay.mp4",
+  "duration_s": 4.0,
+  "fps": 25.0,
+  "frames": 100,
+  "sha256": "dcf681b8e1404d1675e1872b27628063b988173b274a96869de74af3da174058"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人空手站在场地，尚未接球；视频 2.00–3.36 s 机器人向前侧移动，视频 3.40–3.88 s 抬起右手迎球。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 141,
+      "text_zh": "观察：视频 3.92 s 白球下降到机器人头部前上方，视频 3.96 s 球已靠近头肩与上臂区域，右手仍伸在更靠画面右侧的位置，未见球留在手中；log step 141 的机器人现场服务返回 episode=2、control_steps=398、sim_time_s=3.98、stages_reached=0/2，outcome 为“the ball touched the body before it was caught”。该服务字段报告的是受评第二回合的原生裁判结果，明确未进入接住阶段。"
+     },
+     {
+      "t": null,
+      "log_step": 139,
+      "text_zh": "观察：log step 139 启动真实第二回合，log step 140 记录 reset 后执行迎球动作，log step 141 记录该回合终止；此前 log step 137 的 success 来自 agent 自建模拟服务测试，不是本次受评接球成功。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.96 s 机器人以双足在场地地面支撑，走向接球位置后抬臂迎球，片尾仍由脚支撑，未见倒地。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：log step 141 原生裁判报告球在接住前碰到禁触身体部位；视频 3.92–3.96 s 球下降至头肩附近。候选名称“被动受撞”：这是来球撞上机器人身体，非抓握、托举、推扫或承重支撑；远景不能分辨具体身体部位。右手虽伸出迎球，但没有可确认的包围抓握，不将典型抓握方案记为已发生。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 141,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.40–3.96 s 机器人正在抬右手拦接下降球，视频 3.92–3.96 s 球进入头肩附近而未停在伸出的手中；log step 141 现场服务报告第二回合在仿真 3.98 s 因接住前触身终止，阶段为 0/2。失败发生于接稳飞球步骤，尚未开始同手保持窗口。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.96,
+    "log_step": 141,
+    "evidence_zh": "观察：视频 3.60–3.96 s 机器人右手抬在身前迎球，但视频 3.92 s 的下降白球位于头部前上方，随后进入身体附近，没有被右手截住；log step 141 原生裁判报告接住前触身、接住阶段未达成。运动中的球与迎接手没有在合适位置和时刻相遇。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 79 的接球控制代码在 soft 阶段后继续更新来球预测，但仅在 not soft 时重新求解手臂目标，触发闭手后将同一低层关节目标整段提交。log step 141 记录实际回合在仿真 3.67 s 进入 SOFT，仿真 3.79 s 与 3.80 s 预测接球点仍从 [2.1386,-0.83,1.6] 变到 [2.223,-0.7749,1.6]，仿真 3.80 s 触发 GRIP；视频 3.68–3.96 s 可见手臂位置及身体前倾继续变化，最终未拦住球。末段预测变化未反馈到新的手臂目标，支持接球控制未能补偿末段偏差；缺少实际末端轨迹，无法细分控制子类。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志，远景视频仅能看到球进入头肩附近，不能确认触球的具体身体连杆，也不能排除终止前曾短暂擦碰手或前臂；原生裁判明确报告接住前触身及阶段 0/2，因此节点未达成可以判定。缺少实际手掌三维轨迹和逐物理步接触，无法量化手球偏差或进一步区分估计误差、姿态跟踪及闭手参数的贡献；不据模拟服务测试的成功结果推定真实接触。"
+ },
+ "summary_zh": "受评的是重置后的第二次现场接球尝试：机器人移动到迎球位置并抬起右手，但接稳飞球节点始终未达成，最终为 0/1。视频 3.92–3.96 s 球进入头肩附近，log step 141 原生裁判报告接住前触身而终止；末段控制在更新来球预测后未继续更新手臂目标，是接球未对上的有据控制因素。无状态日志，具体触身部位及手指的瞬时接触不可辨，不能进一步细分控制原因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、终止时刻（log step 141 仿真 3.98 s，视频总长 4.0 s）、断点和控制类根因均与原生裁判结果及日志一致；远景下球极小，球位置的帧描述不能独立证实，但有裁判字段支撑。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:15:16Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--bptya9r/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--bptya9r/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b88cba10cdcffeb1b33fd13021a6b2d56a08bfde5913b23a704d582313fc3bb6",
+   "video_sha256": "dcf681b8e1404d1675e1872b27628063b988173b274a96869de74af3da174058",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--ffwthfj.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--ffwthfj.json
new file mode 100644
index 0000000000000000000000000000000000000000..5bb148c39086e9f30a3bd685fd6bf9a986ae5f20
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--ffwthfj.json
@@ -0,0 +1,211 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--ffwthfj",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 429,
+   "sim_steps": 2069,
+   "calls": 55,
+   "rows": 1665,
+   "resets": 4,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3052.9,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.324,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.44,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--ffwthfj/replay.mp4",
+  "duration_s": 4.32,
+  "fps": 25.0,
+  "frames": 108,
+  "sha256": "2487abd2573c31146c40ab65adf155265ef39379bee96ad7a03e384d34beadf0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.84 s，机器人从初始站位移动并向来球方向伸出右手，双脚支撑身体；球尚未被任何一只手接住。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：视频 3.92 s 白球仍在右手上方，视频 3.96 s 到达右手；视频 4.08–4.28 s 白球已离开右手，向画面左下方下降至地面附近，右手没有带球移动。逐帧检查视频 3.20–4.28 s，未见持续包住球的阶段。"
+     },
+     {
+      "t": 4.28,
+      "log_step": 91,
+      "text_zh": "观察：log step 91 的机器人服务返回最后一次重置后的 episode=5、done=True、outcome=\"the ball touched the ground\"、stages_reached=0/2；reward 的 calls=55、rows=1665、sim_steps=2069 与此次返回一致。该回合没有达到原生接住阶段，更未完成单手保持窗口。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 92,
+      "text_zh": "推断：log step 3 给出控制步长 0.01 s，log step 91 的第 5 回合共 429 步，即仿真 4.29 s，与视频末帧 4.28 s 相符；log step 92 读取同一回合保存的服务本体数据，仿真 3.96 s 的到球时刻已在视频 3.96 s 核对，故可将这些回合内采样用于辅助判断。该输出中右手 holding 始终为 0。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "推断：视频约 3.96 s，来球在机器人右手处改变飞行方向后离开，右手只发生短暂碰触，未形成包握。候选名称：碰触；这次被动碰球既无夹持，也非主动推扫、按擦或从下承托，故用其他；远景不能区分具体指节或掌面。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.28 s，机器人用双脚与腿支撑身体，移动至接球位置并在伸出右手时保持站立，未见摔倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 91,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.96 s，机器人伸出的右手迎到飞球，但白球随后离开手部，视频 4.08–4.28 s 持续向地面下降，未被接回。log step 91 的第 5 回合原生裁判以球触地判负，接住及保持两阶段均未达到；断点为正在执行的接稳飞球步骤。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.96,
+    "log_step": 92,
+    "evidence_zh": "推断：视频 3.96 s 白球到达右手，视频 4.08 s 已离开手部；log step 92 对该第 5 回合服务本体数据的读取显示，仿真 3.93 s 右手闭合量仍为 0.22，仿真 3.96 s 为 0.27，仿真 3.99 s 才到 0.34，holding 始终为 0。结合视频中球通过手部后偏离、下降的过程，右手合拢未赶上飞球，未建立有效接住状态。上述回合采样时钟由 0.01 s 控制步长及视频到球事件核对。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 91 的实际受评脚本先将右手预闭合到 0.22，直到仿真 3.945 s 后才命令闭合量 1.0，并自仿真 3.965 s 起按预设时刻转腕收臂，未等待接住反馈。log step 92 的同回合采样显示到球时闭合量仅为 0.27、holding=0；视频 3.96–4.28 s 可见球未被包住并最终落下。命令与手部响应未形成及时的接球控制；现有证据不足以进一步分清接触几何、闭合时序和关节跟踪各自的贡献，保留控制大类。"
+   }
+  ],
+  "gap_zh": "没有状态日志或逐物理步的原生接触对、接触方向与保持计数；640×360、25 fps 远景可确认球离手及未接稳，但不能确定触球的具体指节、90°包围角或毫秒级中断。log step 105、111 的几何估计及后续 MuJoCo 参数测试均是 agent 对已结束回合的离线分析，不当作本次接球成功的证据，也不足以唯一确定控制子类。log step 194 的模型过滤提示发生在 log step 91 的受评回合已触地判负之后，按既有物理结果标注。"
+ },
+ "summary_zh": "受评的最后一次现场尝试为第 5 回合：机器人移动并伸出右手，视频约 3.96 s 迎到飞球，但未及时包住，球随后偏离手部并落地，接稳飞球节点全程未达成，最终为 0/1。原生裁判在 log step 91 报告球触地、阶段 0/2；同回合手部采样支持闭合与来球未同步的控制失败。缺少逐步接触记录，不能进一步确定控制子类；后续离线测试及片尾过滤提示不改变已结束回合的判定。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点未达成、断点、接触与现象/根因均与视频和 log step 91/92 一致；未发现需修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:05:48Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--ffwthfj/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--ffwthfj/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e878d9ad59b6046a3975e7f02ca0515cf94f7194fc9dec7f27a20f21839dd6fe",
+   "video_sha256": "2487abd2573c31146c40ab65adf155265ef39379bee96ad7a03e384d34beadf0",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--hljesry.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--hljesry.json
new file mode 100644
index 0000000000000000000000000000000000000000..24056a2714bdff92d4805e22e1155d036625f352
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--hljesry.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--hljesry",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 406,
+   "sim_steps": 9314,
+   "calls": 80,
+   "rows": 9314,
+   "resets": 31,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5859.2,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.528,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.647,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--hljesry/replay.mp4",
+  "duration_s": 4.08,
+  "fps": 25.0,
+  "frames": 102,
+  "sha256": "80ba158d9a6d68af3f8e10cf165f4b85155ef35110d42ecda252c86750dbb1b1"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在场地上，手中没有球；视频 0.40–3.44 s 机器人逐步前移，尚未接球。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 3.00–4.04 s；视频 3.80–3.92 s 机器人俯身并将双臂伸向来球，视频 3.92 s 白球仍在手前上方，视频 3.96 s 白球到达前伸手部附近，视频 4.00–4.04 s 白球已向手下方落去，没有形成随手保持的持球状态。"
+     },
+     {
+      "t": 4.04,
+      "log_step": 262,
+      "text_zh": "观察：log step 262 的机器人服务返回最后一次现场尝试 episode=32、control_steps=406、仿真 4.06 s、done=true、outcome=\"the ball touched the ground\"、stages_reached=0/2；该服务字段是原生裁判的接球/保持阶段结果。inputs/run.json 的评分字段 n_actions=406、calls=80、rows=9314 与这次尝试对应，log step 263、267 确认最后尝试为 R18，之后没有再次执行机器人动作。"
+     },
+     {
+      "t": 4.04,
+      "log_step": 262,
+      "text_zh": "推断：结合视频 3.96–4.04 s 球从手边继续下落及 log step 262 的未接住即落地裁判结果，接稳飞球从未达成，最终为 false；不是仅根据总分为零判断。成功参考在其视频 3.96–4.92 s 可见白球持续留在伸出的手边，本次未出现这一保持过程。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.80 s 机器人双足交替支撑并向来球方向前移；视频 3.84–4.04 s 机器人以足部支撑俯身伸手，片尾仍未见躯干触地。"
+     },
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "推断：候选“拦接时短暂碰触”。视频 3.88–3.96 s 机器人双臂同时前伸拦接，白球到达前伸手部附近后于视频 4.00–4.04 s 下落；结合 log step 259–262 的双手拦接及右手后撤程序和 log step 267 的触手反弹自述，推断至少一手短暂触球，未形成包围抓握。现有抓握、托/舀、推/扫、压/擦均不能准确表达这种短暂碰触；远景不能确认具体接触手指或另一手是否也触球。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 262,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.88–3.96 s 机器人正在俯身伸臂接球，白球到达手边后在视频 4.00–4.04 s 继续下落，没有随手保持；log step 262 对应最后现场尝试的原生裁判报告接球阶段 0/2，因球触地结束。断点为正在进行的“接稳飞球”。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没建立接触",
+    "t": 3.96,
+    "log_step": 262,
+    "evidence_zh": "推断：视频 3.92–4.04 s 显示白球到达机器人前伸手部附近后继续下落，未出现被手包住并随手移动的过程；log step 262 原生裁判报告 stages_reached=0/2 且球触地。所需的相对两侧包围抓握没有建立，短暂触手不等于已经握住，因此不标“没保持住”。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "t": 3.96,
+    "log_step": 267,
+    "source_zh": "agent 自述",
+    "evidence_zh": "推断：log step 267 中 agent 自述，最终俯身姿态下手掌朝向与来球方向约偏离90°，位置与朝向目标冲突，球从手边反弹而未进入闭合手指形成的包围区域；这是 agent 的分析，具体角度待核实。日志中 log step 257–258 可见 agent 调整位置/朝向优化权重，log step 259–262 又加入左手拦接和右手沿球速方向后撤，最终仍未接住；视频 3.96–4.04 s 的触手附近后下落与此解释一致。证据支持接触几何不适配这一根因，不据此认定所有合法接球姿态不可行。"
+   }
+  ],
+  "gap_zh": "没有状态日志；视频为640×360远景、25 fps，不能分辨手指与掌部的接触组、90°方向阈值或0.02秒中断，也不能确认左手是否实际触球。至少一手短暂触球及接触设计归因含推断；最终约90°掌向偏差来自 log step 267 的 agent 自述，没有本次原生接触或掌向数据独立验证。三个原生数值指标在评分字段中均未报告，故保留 null。"
+ },
+ "summary_zh": "机器人前移后俯身伸出双臂拦接，视频 3.96 s 小球到达手边却继续下落；接稳飞球未达成，最终完成 0/1。log step 262 确认最后现场尝试接球阶段为0/2、因球触地结束；结合 agent 在 log step 267 对掌向不适配的自述，根因推断为抓取和接触设计。缺少状态日志，远景无法独立验证微观接触及自述的具体掌向偏差。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "标签与视频、log 一致：视频 3.96–4.04 s 球到手边后下落，未保持；log step 262 服务返回 stages_reached=0/2、球触地，节点 false、断点 fly_ball_caught 合理。现象“没建立接触”（所需包围抓握从未形成）与根因“抓取和接触设计”均已标注为推断/agent 自述并在 gap_zh 说明，可接受。远景过小无法独立验证掌向。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:00:12Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--hljesry/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--hljesry/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b595ec6e7e8c350b1eda9b06e5189a0dc32d033230fbf4e2388fbfee0716b826",
+   "video_sha256": "80ba158d9a6d68af3f8e10cf165f4b85155ef35110d42ecda252c86750dbb1b1",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--mmxtfns.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--mmxtfns.json
new file mode 100644
index 0000000000000000000000000000000000000000..32c882b0fefb4fef9df8f93b57c986ee0c688e65
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--mmxtfns.json
@@ -0,0 +1,208 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--mmxtfns",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 434,
+   "sim_steps": 21230,
+   "calls": 446,
+   "rows": 20784,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 6707.7,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.595,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.876,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--mmxtfns/replay.mp4",
+  "duration_s": 4.36,
+  "fps": 25.0,
+  "frames": 109,
+  "sha256": "038b3c485608d3d7fe062a80aa8c93e46a535f0e02f227abe3473377f1963858"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.52,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–3.52 s，机器人从站立转为向前侧走动，并抬起右手迎接来球；尚无球停在手内。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：视频 3.80–4.00 s 的逐帧画面中，白球下降经过机器人右手附近，随后出现在画面中机器人左侧的空中；视频 4.00–4.32 s 球继续远离右手并向地面下降，右手没有带球移动，机器人仍站立。没有出现球被单手控制并保持的状态。"
+     },
+     {
+      "t": 4.32,
+      "log_step": 352,
+      "text_zh": "观察：视频 4.32 s 球已接近地面且与右手明显分离；agent 最后自述“最终尝试在仿真 4.34 s 因球触地失败，裁判为 0/2 阶段”（log step 352）。评分器字段 success=0、live_success=0、graded_by_live=1。该自述与录像中的漏接及球下落相符，但不用于给视频时钟换算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–4.32 s，机器人双脚交替接触场地地面，腿部支撑身体走向拦截位置，抬右手接球时未见摔倒。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 3.80–4.00 s 机器人右手迎向白球，但远景无法确定球是否瞬时擦到手指、掌或前臂；未见合手包住球，故手球接触不能标为已建立抓握。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 346,
+   "where": "操作中",
+   "evidence_zh": "观察：最后一次重置并运行接球脚本的是 log step 346；视频 3.80–4.00 s 机器人正抬右手截球，球却经过手边继续下落，视频 4.00–4.32 s 始终未回到手内。agent 在 log step 348、352 将此次末局报告为球触地且未接住；前面的重置试验不是本段评分录像。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.96,
+    "log_step": null,
+    "evidence_zh": "观察：视频 3.80–4.00 s 白球快速下降到机器人伸出的右手附近，随后越过手部并继续下落；视频 4.00–4.32 s 球与手逐渐分离，未出现球随手停留。推断：机器人没有在运动目标经过时完成有效拦截，属于动态接球未跟上；没有证据表明先握住再脱手。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 3.96,
+    "log_step": 348,
+    "evidence_zh": "推断：视频 3.80–4.00 s 机器人已走近并伸右手迎球，但手部动作未与来球形成有效拦截，球在视频 4.00–4.32 s 继续落下。log step 345 记录 agent 为最后一局调整肘角并准备在触球窗口闭手，log step 346 执行脚本，log step 348 输出的脚本使用预设步行、臂姿及闭手序列；目标是接住并保持，没有错误任务目标的证据。结合录像将根因限于控制，现有证据不能再细分具体接触几何、轨迹或闭手时机。",
+    "source_zh": "视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；场地远景分辨率不足以确定球是否瞬时擦碰右手或前臂，也无法测量手指包围接触方向、毫秒级中断及原生保持计数。末局的详细裁判输出未保留在可见工具返回中，仿真 4.34 s 触地及 0/2 阶段仅为 agent 自述（log step 348、352），但漏接及球下落在视频 3.80–4.32 s 可见。控制根因的子类不能可靠区分。"
+ },
+ "summary_zh": "评分录像中机器人走向来球并伸出右手，但白球在视频约 3.9 s 经过手边后继续下落，接稳飞球节点始终未完成，最终为 0/1。断点位于接球操作中的动态拦截，根因仅能归为控制；视频 4.32 s 机器人仍站立且球已远离手部。无状态日志，远景不能确定瞬时手球擦碰或进一步区分控制误差，不能将早先重置试验的触球算入本局。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点 fly_ball_caught 未达成、断点在该步骤的操作中、单一动态时机/控制归因与 0/1 结果及视频所见一致；视频 3.4–4.32 s 小球（微小白点）自上而下落到机器人侧下方，未见随手停留。远景分辨率有限，证据已如实标注为推断。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:14:28Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--mmxtfns/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--mmxtfns/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "6c03dd825da4070d4319674504e36dabb0b9404b077c3edc913b4d41feec3557",
+   "video_sha256": "038b3c485608d3d7fe062a80aa8c93e46a535f0e02f227abe3473377f1963858",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--nb96egp.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--nb96egp.json
new file mode 100644
index 0000000000000000000000000000000000000000..d870b4201be83582ecb1ae3d16c937f0c0dc8205
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--nb96egp.json
@@ -0,0 +1,213 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--nb96egp",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 429,
+   "sim_steps": 20503,
+   "calls": 2152,
+   "rows": 17675,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 2415.0,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.443,
+   "peak_processes": 10,
+   "peak_disk_gb": 1.099,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--nb96egp/replay.mp4",
+  "duration_s": 4.32,
+  "fps": 25.0,
+  "frames": 108,
+  "sha256": "2beaab0a11aa12dd8db7b1ae06e13c8e7e3a2a8dab8722e1ffc70be513dcd7a2"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人双脚站在场地上，手中无球；随后迈步靠近落点并伸出右手。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 3.20–4.28 s，白球在视频 3.92 s 位于右手上方，视频 3.96 s 到达右手附近，视频 4.00–4.28 s 向画面右下方离开手并落到地面；机器人始终站立，未见球被手包住后持续随手移动。"
+     },
+     {
+      "t": 4.28,
+      "log_step": 156,
+      "text_zh": "观察：log step 156 的最终配置运行返回原生裁判结果“the ball touched the ground”、stages 0、control steps 429；log step 161、164 的服务状态均为 episode 51、429 控制步、failed，后续重置已被拒绝。该结尾与视频 4.28 s 球到达地面相符，早先试验的留球或超时结果不计入本次进度。"
+     },
+     {
+      "t": 4.28,
+      "log_step": null,
+      "text_zh": "推断：本次未建立并维持合规单手包围抓握，接稳飞球节点从未完成；成功参考录像的视频 4.00–4.80 s 可见白球持续位于伸出的手边，本次在相同视角下出现的是球离手下落。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "推断：视频 3.92–4.04 s 白球下降到伸出的右手处后改变运动方向并离开，符合右手与棒球短暂碰触。候选名称“接球碰挡”：未见手指对向夹住球，也没有持续承托、主动推扫或击打，现有方式不能准确描述这种短暂碰触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.28 s 机器人以双足接触场地地面，迈步到接球位置后保持站立，未见其他身体部位触地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 156,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.96 s 飞球到达机器人伸出的右手附近后未停留，视频 4.00–4.28 s 球离手向右下方运动至地面；log step 156 返回球触地、stages 0，log step 161、164 确认最后现场 episode 51 已失败。失败发生在接球操作中，没有完成接稳窗口。"
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没建立接触",
+    "t": 3.96,
+    "log_step": 156,
+    "evidence_zh": "推断：视频 3.92–4.28 s 球仅在右手附近短暂交会便离开，没有出现包住并随手移动的过程；log step 156 原生裁判报告 stages 0、球触地。未建立的是接球所需的对向包围抓握，不能将一次碰触算成已抓住后脱落。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 3.96,
+    "log_step": 156,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 126 的驱动脚本将右臂保持在固定接球姿态，以预设时刻切换右手闭合；log step 156 将预闭合设为 0.3、T_CLOSE 设为脚本仿真时钟 4.10 s 后运行，原生裁判仍返回 stages 0。视频 3.96–4.28 s 可见球已到手边但未被控制住，说明该手部接球控制未形成有效抓握；现有证据不足以进一步确定几何、时序或力控子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志或逐控制步的手球接触、包围判定与保持计数；640×360 的远景只能支持短暂碰触及随后的离手下落，不能精确分辨手指接触方向或毫秒中断。log step 165 关于手指力量无法承受冲击的解释是 agent 自述，缺少接触力记录验证，未据此归为环境不可行。成功参考录像仅作可见状态对照，其手部参数版本差异不用于证明当前配置的力学可行性。",
+  "unmet": {
+   "fly_ball_caught": false
+  }
+ },
+ "summary_zh": "机器人迈步并伸出右手迎接飞球，但视频约 3.96 s 球到达手边后即离开，至视频 4.28 s 落地；接稳飞球节点未完成，最终为 0/1。原生裁判的 stages 0 和球触地结果与画面一致，失败表现为未建立包围抓握，根因归于控制；缺少微观接触与力记录，不能确定更细的控制原因。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点未完成、最终0/1与视频及原生裁判结果（球触地、stages 0、429控制步）一致；断点在接球操作中，现象“没建立接触”和根因“控制”（未细分子类）有日志和画面支撑，证据标注观察/推断恰当，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:00:15Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--nb96egp/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--nb96egp/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "186c12ae80ce0b43a61d90866bbc43a0e446653c5c4b8dbe904de656c27aabc7",
+   "video_sha256": "2beaab0a11aa12dd8db7b1ae06e13c8e7e3a2a8dab8722e1ffc70be513dcd7a2",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--rm9ki8a.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--rm9ki8a.json
new file mode 100644
index 0000000000000000000000000000000000000000..3917edd7d00618711ef5046b629e8e7f3f690d1f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--rm9ki8a.json
@@ -0,0 +1,206 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--rm9ki8a",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 445,
+   "sim_steps": 21099,
+   "calls": 4647,
+   "rows": 20695,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3832.5,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.559,
+   "peak_processes": 14,
+   "peak_disk_gb": 2.425,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--rm9ki8a/replay.mp4",
+  "duration_s": 4.48,
+  "fps": 25.0,
+  "frames": 112,
+  "sha256": "4bdcdc1a0a08039b9925f102d91a6eca14cdc20ceff56e1ecbad82373a1c997e"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频0.0–2.8 s机器人双足向落球方向移动，随后抬起并伸出右臂；视频3.4–4.44 s机器人始终站立并用右手迎球，确已尝试接球。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 151,
+      "text_zh": "观察：视频3.88、3.92 s白球向右手下降，视频3.96 s球到达右手附近；视频4.04–4.20 s白球向手的内侧、躯干方向离开，视频4.36–4.44 s已落到躯干侧下方，未留在右手随手移动。log step 151的最后一次现场调用返回裁判outcome=\"the ball was not caught in time after it first touched you\"、stages_reached=0，并由服务status确认episode=51、done=True、control_steps=445、resets_left=0；这与本段视频相符。"
+     },
+     {
+      "t": 4.44,
+      "log_step": 151,
+      "text_zh": "推断：依据视频3.96–4.44 s球离开右手的过程及最后一次现场裁判的未接住判定，本次未建立规定的包围接触，也未完成同手保持窗口；接稳飞球始终为假。先前会话试验的stage 1记录不属于此评分局。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频3.96 s机器人伸出的右手承接下降的棒球，随后球离开手掌区域；这里记录右手短暂承接触球，未观察到手指与拇指合拢夹住球，最后一次裁判也未认定包围抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.0–2.8 s机器人双足在地面支撑并移动身体至接球位置；视频3.4–4.44 s双腿继续支撑身体迎球，未摔倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 151,
+   "where": "操作中",
+   "evidence_zh": "观察：视频3.96 s下降的白球到达机器人伸出的右手，视频4.04–4.20 s却离手向躯干方向运动，未被该手包住；机器人继续站立至视频4.44 s。log step 151记录评分所用最后一次现场尝试的裁判返回“触球后未及时接住”、stage 0，并确认episode 51已结束。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没建立接触",
+    "t": 3.96,
+    "log_step": 151,
+    "evidence_zh": "观察：视频3.96 s球虽到达右手，视频4.04–4.44 s已从手边移向躯干侧并下降；最后一次现场裁判在log step 151返回触球后仍未接住、stages_reached=0。所缺的是四指与拇指或掌部从两侧包住球的抓握接触，不能把短暂碰手算作已握住再脱手。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 150将调整后的右臂目标写入最终参数，log step 151实际执行这些参数后，视频3.96 s球已到达右手而视频4.04–4.44 s球仍离手，裁判也未认定接住；失败落在迎球及闭手的接触控制。现有证据不能进一步区分手型几何、闭合时机或接触响应，故停在控制类。agent在log step 153关于手指过短、反弹系数及厘米级精度的解释未获独立验证，不据此归因环境或感知。",
+    "source_zh": "视频 / 日志"
+   }
+  ],
+  "gap_zh": "无状态日志或最后一次评分局的逐物理步接触对、接触方向与手指力记录；640×360、25 fps远景不能分辨90°包围接触或0.02秒中断，也不能确定右手具体哪一指先碰球。原生裁判明确报告最后一次未接住，可判节点为假，但不足以细分控制根因。DAG列出的三个原生数值指标均未在本次评分字段中报告，保留null。"
+ },
+ "summary_zh": "评分局是log step 151运行的最后一次现场尝试（episode 51）：机器人移动后伸出右手迎球，但视频3.96 s触球附近之后，白球向手内侧离开并下降，接稳飞球最终0/1。最后一次裁判报告触球后未及时握住、stage 0，断点为接稳飞球操作中，现象是未建立包围抓握接触，根因保守归为控制。无逐步接触日志，远景无法细分手型与闭手时机；成功参照中球留在右手的画面仅用于比较，不计入本次进度。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "评分局（log step 151，episode 51）未接住与视频一致：视频3.96 s球到右手，4.04–4.44 s球离手落向躯干侧；裁判返回\"not caught in time after it first touched you\"、stage 0，节点为假、断点与现象无明显错误；根因停在控制类有保守理由。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:08:37Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--rm9ki8a/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--rm9ki8a/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "5927539e5148953b9c643c36b72ed307b9957b380e6e7463318b033577aeb7ad",
+   "video_sha256": "4bdcdc1a0a08039b9925f102d91a6eca14cdc20ceff56e1ecbad82373a1c997e",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--ydqkrth.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--ydqkrth.json
new file mode 100644
index 0000000000000000000000000000000000000000..0316d1db708cd600c51c915f67d32cb613361a87
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--ydqkrth.json
@@ -0,0 +1,189 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--ydqkrth",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "live_success": 1,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 492,
+   "sim_steps": 2195,
+   "calls": 50,
+   "rows": 1791,
+   "resets": 4,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3913.9,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--ydqkrth/replay.mp4",
+  "duration_s": 4.96,
+  "fps": 25.0,
+  "frames": 124,
+  "sha256": "7b142f3abf0b2651c76103d17f2cc62536060f3577e9c641aa70173edc96ebd1"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在场地上，手中尚无球；视频 0.00–3.60 s 机器人向前移动并调整右臂，尚未完成接球保持。"
+     },
+     {
+      "t": 3.92,
+      "log_step": 151,
+      "text_zh": "观察：视频 3.80–3.96 s 机器人抬起右手，白色小球从右手上方下降至手边；视频 4.00–4.92 s 小球留在右手附近并随手的小幅运动保持相邻，机器人持续以双脚支撑，没有可见脱手或摔倒。log step 151 的第5次现场尝试记录 control_steps=393，所读右手 holding=1；这时只是接住，尚未完成规定保持窗口。"
+     },
+     {
+      "t": 4.92,
+      "log_step": 159,
+      "text_zh": "观察：log step 159 中，机器人服务（agent通过客户端获取的模拟器状态及原生裁判通道）报告 episode=5、control_steps=492、sim_time_s=4.92、done=true、reason=success、outcome=success、stages_reached=2、stages_total=2；run.json 的 reward.live_success=1、graded_by_live=1。视频 4.92 s 机器人仍站立并保持右手接球姿态。"
+     },
+     {
+      "t": 4.92,
+      "log_step": 159,
+      "text_zh": "推断：log step 132 重置后开始第5次现场尝试，log step 159 结束该次尝试，log step 160 保存其492个控制步；评分记录 n_actions=492，与这段录像一致。该尝试每控制步为0.01秒，log step 151 的393步对应视频约3.93 s，已用视频 3.88–3.96 s 球到达右手的可见事件核对；据此 log step 159 的492步对应视频4.92 s。结合持续留球画面及原生裁判两阶段成功，接稳飞球节点在视频4.92 s 完成并保持至片尾；不把首次接触时刻当作满窗口完成时刻。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频约3.9 s 球下降到机器人抬起的右手，此后至视频4.92 s 留在右手边并随手运动，log step 159 原生裁判确认接住及保持均成功，支持右手手指与拇指或掌部包住棒球；左手没有参与接球。远景无法直接分辨各指接触方向。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–3.60 s 机器人用双脚在地面支撑并迈步向前接近接球位置，视频3.80–4.92 s 继续以双脚支撑身体，在右手接球及保持时没有可见摔倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "评分对应第5次现场尝试：机器人向前移动并抬起右手，在视频约3.9 s 接住下降的球，保持站立和同手控球后于视频4.92 s 完成“接稳飞球”，最终1/1节点成立，无失败断点。原生机器人服务在 log step 159 报告接住与保持两阶段成功，评分字段亦确认现场成功；此前各次重置试验不计入本段轨迹。没有状态日志，远景无法独立核实90°接触夹角或0.02秒中断，微观接触与保持窗口依原生裁判结果佐证；三项原生数值指标未在评分字段中报告。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "评分为第5次现场尝试成功；log step 151/159 的 control_steps(393→3.93 s，492→4.92 s)与视频时钟映射一致，节点完成于视频 4.92 s、contact_actual 合理，无失败断点，未发现需改动之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:13:59Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--ydqkrth/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--ydqkrth/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b054b7b82fb4f9c65c39eca5ea906b0da06989a561c44d4d73ad5eccc27db396",
+   "video_sha256": "7b142f3abf0b2651c76103d17f2cc62536060f3577e9c641aa70173edc96ebd1",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--yqsyzs4.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--yqsyzs4.json
new file mode 100644
index 0000000000000000000000000000000000000000..13975ef367110f28a29d5345fb0636d1a7d65789
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard--yqsyzs4.json
@@ -0,0 +1,208 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard--yqsyzs4",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 447,
+   "sim_steps": 2467,
+   "calls": 18,
+   "rows": 1484,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 883.6,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.225,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.385,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard--yqsyzs4/replay.mp4",
+  "duration_s": 4.48,
+  "fps": 25.0,
+  "frames": 112,
+  "sha256": "e61477514b717e11980991b4fb156b90677499e4bfebeb5459ed6e45d266fa58"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.60 s，机器人从初始站位迈步移动并摆动右臂准备接球，尚未持球；视频 3.88–3.96 s 白球向右上肢下降。"
+     },
+     {
+      "t": 4.0,
+      "log_step": 136,
+      "text_zh": "观察：视频 3.96–4.00 s，白球到达机器人伸出的右手／前臂附近后改变运动方向，视频 4.04–4.44 s 白球与手分离，未见球留在手中随手移动，机器人仍站立。log step 136 的最后一次现场尝试为 episode 6，服务返回 done=True、reason=failed、outcome=\"the ball was not caught in time after it first touched you\"、stages_reached=0/2、sim_time_s=4.47；该仿真结束时刻与视频片尾相符。"
+     },
+     {
+      "t": 4.44,
+      "log_step": 136,
+      "text_zh": "推断：视频片尾球已离开接球上肢，且 log step 136 的原生裁判明确未进入接住阶段，因此本次评分尝试从未满足同手包围握持并保持规定窗口的节点判据；这不是仅由总分为零反推未完成。参考成功录像的参考视频 4.00–4.92 s 可见球持续留在伸出的手旁，本次录像没有该持续持球表现。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.44 s，机器人以双腿和脚在场地地面支撑身体，迈步移动后站立伸臂接球，未见摔倒。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 3.96–4.00 s 白球在机器人右手／前臂附近改变运动方向后弹离，log step 136 的原生裁判确认曾首次触及机器人但未形成接住；远景无法确定实际接触的是手指、掌部还是前臂，也无法细分瞬时接触方式，不能记为抓握。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 4.0,
+   "log_step": 136,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.96–4.00 s，机器人正在伸右臂接下降的白球，球在右手／前臂附近弹离，随后至视频 4.44 s 都未停在手中；log step 136 的最后一次现场执行由原生裁判以首次触球后未及时接住结束，接住与保持阶段均未通过。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没建立接触",
+    "t": 4.0,
+    "log_step": 136,
+    "evidence_zh": "观察：视频 3.96–4.04 s，球到达接球上肢后立即与手分离，至视频 4.44 s 没有随手保持；log step 136 的原生裁判报告首次触球后未及时接住、stages_reached=0/2。这里未建立的是接球所需的包围握持接触，已有瞬时碰触，未见先握稳再脱手。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 133 的实际执行脚本预先生成整段右臂关节目标与右手闭合指令，一次 submit 提交；右臂到预设姿态后维持，闭手按预设仿真时序渐增，触球后没有依据球运动重新调整。log step 136 执行此脚本，视频 3.96–4.44 s 显示球到达接球上肢却弹离，原生裁判未认可包围握持，支持接球控制未完成所需接触；现有证据不足以区分接触几何、闭手时序或执行跟踪等具体控制子类。",
+    "source_zh": "日志、视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；640×360、25 fps 的场地远景不能分清首次触球的具体手部或前臂部位，也不能核实接触夹角、手指闭合程度、接触力及毫秒级接触变化。因此保留球接触的作用端与方式为未知，控制根因不细分；节点未达成由球弹离的画面与最后一次现场原生裁判结果共同确认。"
+ },
+ "summary_zh": "评分采用 log step 136 的第六次、最后一次现场尝试，机器人迈步就位并伸右臂迎球，但视频约 3.96–4.00 s 球在右手／前臂附近弹离，接稳飞球从未达成，最终为 0/1。原生裁判以首次触球后未及时接住结束，失败表现为未建立包围握持接触，证据支持归到控制。无状态日志且远景无法分辨具体触球部位、接触几何和闭手细节，不能进一步细分根因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点 fly_ball_caught、时间（视频 4.0 s 与 sim_time 4.47 s 吻合）均有 log step 136 原生裁判（stages_reached 0/2、首次触球后未及时接住）支持；接触标注为未知合理，根因停在“控制”不细分有据。远景下球极小，我无法从帧中独立分辨弹离细节，但裁判结果足以决定。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:00:02Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--yqsyzs4/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard--yqsyzs4/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "476c008503fdb155b78ae20612c2b97473b91d9483a48fe778ba713e36b4fb86",
+   "video_sha256": "e61477514b717e11980991b4fb156b90677499e4bfebeb5459ed6e45d266fa58",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd.json
new file mode 100644
index 0000000000000000000000000000000000000000..f94a63012ea5675d582df45a64fe7c6074970411
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd.json
@@ -0,0 +1,241 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard-realtime--2errrrd",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 446,
+   "sim_steps": 4533,
+   "calls": 287,
+   "rows": 5830,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 1479.8,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 45.393,
+   "max_lag_s": 0.0607,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 404,
+   "late_steps": 0,
+   "requests_refused": 1,
+   "request_busy_s": 0.716,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd/replay.mp4",
+  "duration_s": 4.48,
+  "fps": 25.0,
+  "frames": 112,
+  "sha256": "7fd42a933e1998852df91807c7a8f84b02ebf78cc80a00f2d7188edb2b596de1"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": null,
+      "text_zh": "观察：视频 0–3.6 s，机器人从初位向前侧移动，随后伸出右臂准备接球；双足支撑身体，未见摔倒。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 69,
+      "text_zh": "观察：视频 3.6–4.44 s，机器人伸出右臂并保持站立；640×360 远景无法分辨球与手的具体接触及弹离过程。log step 69 的现场服务结果为“the ball was not caught in time after it first touched you”，stages_reached=0，control_steps=446；log step 75 确认最终为 episode 11、done=True、reason=failed。"
+     },
+     {
+      "t": 4.44,
+      "log_step": 77,
+      "text_zh": "推断：本次评分的是 episode 11；log step 69 运行 cfg11，log step 74 的后续配置因重置次数耗尽未能运行，log step 75 服务状态仍为 episode 11。结合 log step 69 首次触球后未及时接住的服务判词及 stages_reached=0，“接稳飞球”从未成立；此前会话中其他 episode 短暂接住的结果不计入。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：log step 69 的现场服务判词“the ball was not caught in time after it first touched you”确认首次触球，但未说明接触部位和方式；视频 3.84–4.44 s 的远景及放大帧不足以分辨掌部、手指或其他部位触球，也不能确认托/舀。所需抓握未由裁判注册，故不标抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0–4.44 s，机器人双脚交替踏地移动到接球位置，随后由双腿支撑站立并伸右手接球，全程未见倒地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 4.0,
+   "log_step": 69,
+   "where": "操作中",
+   "evidence_zh": "推断：log step 69 的本次现场服务判词为首次触球后未在规定的 0.5 秒窗口内接住，stages_reached=0；视频 3.6–4.44 s 机器人正伸右臂接球，故断点为接球操作中。视频约 4.0 s 仅为导航锚点，远景无法核实具体接触与弹离；本次 446 个 0.01 秒控制步约为视频 4.46 s，与视频 4.48 s 片长相符，控制步时钟还由脚本抬臂窗口 2.95–3.65 秒与视频约 3.0–3.6 s 的伸臂动作核对。"
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没建立接触",
+    "t": 4.0,
+    "log_step": 69,
+    "evidence_zh": "推断：log step 69 的原生裁判报告首次触球后未在规定窗口内接住，stages_reached=0，说明未建立本步骤所需的四指与拇指或掌部的相对包围接触；已有短暂碰触不等于抓握。视频 3.84–4.44 s 无法分辨具体触球部位及弹离过程，本现象依据裁判的具体失败判词，而非仅依据零分；本次并非其他 episode 的“接住后脱手”。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 4.0,
+    "log_step": 69,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 69 的脚本将右手预闭合设为 0.3，至本次控制步 400 才改为 0.45，至控制步 412 才发出全闭合命令；右臂沿用预置接球姿态。log step 32 的生成脚本以 k/100 编排动作并以 dt=0.01、at=0 提交，log step 69 本次也从控制步 0 提交；446 个控制步约为视频 4.46 s，与视频 4.48 s 片长相符，脚本抬臂窗口 2.95–3.65 秒亦与视频约 3.0–3.6 s 的伸臂动作相符。因此全闭合命令约对应视频 4.12 s；结合本次服务的首次触球后未及时接住及 stages_reached=0，推断接球姿态与闭手控制未能把碰触转为所需抓握。画面不能证明全闭合时球已离手，也不足以进一步区分接触几何、撞击响应与跟踪误差。"
+   }
+  ],
+  "gap_zh": "没有状态日志；640×360、25 fps 的远景及放大帧不能可靠分辨具体触球部位、接触方式、球与手的接触及弹离过程，更不能核实接触指节、90°接触夹角、毫秒级中断及接触力。视频中的机器人姿态与本次原生裁判的具体失败判词支持未接稳，控制根因仅为日志与画面结合的推断，不能确认闭手晚于球离手，故置信度由 8 降为 7；agent 自建局部仿真及此前 episode 的诊断不作为本次物理过程的直接证据。评分器 reward 未报告三个原生指标数值，均记 null。",
+  "unmet": {
+   "fly_ball_caught": false
+  }
+ },
+ "summary_zh": "评分尝试为最后一次现场 episode 11：机器人移动后伸出右臂接球，原生裁判报告首次触球后未及时接住且 stages_reached=0，未完成“接稳飞球”，最终 0/1。结合本次脚本的预置姿态与闭手命令，推断接球控制配合失败，后续准备的 cfg12 未实际运行。没有状态日志，远景无法确认触球部位、承接方式及弹离过程，具体控制机制仍不确定，置信度降为 7。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点 fly_ball_caught=false、断点 fly_ball_caught/操作中、控制步→视频映射均与服务读数（446 步≈4.46 s ≈ 视频 4.48 s，episode 11）一致，无大错。但证据把 640×360 远景中看不清的球轨迹和“右手掌部承接”写成了观察，应改为推断。",
+    "n_issues": 2,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "第二轮：节点 false、断点 fly_ball_caught/操作中、控制步时钟映射、contact_actual（触球部位未知）均与 log step 69/75 的服务读数（episode 11、446 控制步、stages_reached=0）一致；上轮观察/推断问题已改正，未发现新的实质错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
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+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:18:30Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
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+  "calls": [
+   {
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+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd/03_label"
+   },
+   {
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+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd/04_review_r1"
+   },
+   {
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+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--2errrrd/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
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+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8.json
new file mode 100644
index 0000000000000000000000000000000000000000..696eeb032361b3641ab14d826b799d0b84736817
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8.json
@@ -0,0 +1,238 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
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+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
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+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
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+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 397,
+   "sim_steps": 801,
+   "calls": 182,
+   "rows": 4530,
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+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 931.5,
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+   "slowdown": 1.0,
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+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8/replay.mp4",
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+  "frames": 100,
+  "sha256": "abdf0b3bfcfdb802323ab38ef0bab4cd074aca8b73438b72611b16d7cf8549a8"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 37,
+      "text_zh": "观察：视频 0.00–3.96 s 中机器人双足行走，片尾仍站立；视频 3.92 s 放大帧可见其头部右上方的白色小点，视频 3.96 s 已不能将球与机器人轮廓可靠分开，远景不能判读手指包握。log step 37 中机器人现场服务在 episode 2 返回 done=True、outcome=\"the ball touched the body before it was caught\"、control_steps=397。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 37,
+      "text_zh": "推断：log step 37 唯一一次重置后的 episode 2 是最后评分局，其行走过程与视频相符，服务控制步数397与 inputs/run.json 的 reward.n_actions=397 一致；log step 4 给出控制周期0.01秒，397步对应仿真 3.97 s，与视频 3.96 s 末帧及该处录像终止相核对，仅作为片尾失败的粗略时间锚。原生服务明确判为接住前碰身体，故本节点从未达到，不能由远景不可辨改记未知。log step 37 脚本始终发送 r_arm_ready 和 grip_r=0.35，支持固定右臂目标的推断，不等于视频观察到实际手姿；成功参考不作本次接触证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.96 s 中，机器人双脚接触场地，双腿承重并行走至球路附近，片尾仍站立。"
+     },
+     {
+      "who": "未知",
+      "how": "其他",
+      "note_zh": "观察：log step 37 的机器人现场服务确认球在被接住前碰到机器人身体；视频 3.92 s 放大帧可见机器人头部右上方白色小点，视频 3.96 s 不能可靠分辨球与身体的接触。推断：白色小点为来球，但撞身事实依据服务 outcome，具体部位未知。候选名称：被动碰撞；该意外球体撞身不属于抓握、承托、推扫或支撑，不能据此记手指抓握。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 37,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.80–3.96 s 中机器人仍站立，远景不能辨认手指接持；log step 37 的机器人现场服务报告最后一局 episode 2 在控制步397因球接住前碰到身体而终止。推断：该控制步对应仿真 3.97 s，与视频 3.96 s 片尾核对，故以片尾作为接稳飞球失败的粗略锚点；该脚本固定右臂目标，不能把实际手姿或来球与手的精确相对位置写成视频观察。之后没有新的现场重置或成功修复。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.96,
+    "log_step": 37,
+    "evidence_zh": "观察：log step 37 的机器人现场服务判为球接住前碰身体；同一步脚本从初始到末段均发送 r_arm_ready、grip_r=0.35，末段只降低行走速度。视频 3.92 s 放大帧可见机器人头部右上方白色小点，但无法辨认手指与球接触。推断：固定手臂目标及闭合指令未能完成对运动中来球的拦截，暂标动态时机；这不是观察到闭手过早或过晚，无法排除手位或手型偏差，置信度降低。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "认知",
+    "item": "推理/规划",
+    "t": 3.96,
+    "log_step": 37,
+    "source_zh": "日志",
+    "alt_feasible": "未知",
+    "evidence_zh": "观察：log step 37 的调用标为“Running Episode 2 walk calibration and ball observation”；检查完整脚本可见，初始、循环和末段均只提交 walk 行，右臂目标固定为 r_arm_ready，grip_r始终为0.35，循环反馈只调整行走方向，末段只减速后读取图像，未安排接球时的手位调整、闭合或缓冲阶段。现场服务随后返回接住前碰身体。推断：本次评分局执行的是校准与观察方案，接球阶段的动作设计尚未纳入该局，依 docs/03_trajectory.md Step 3.3 的判别顺序归认知·推理/规划；无证据表明一个完整可行的接球方案仅因跟踪执行失败，亦不单凭恒定闭合值断言手型必然不可行。",
+    "note_zh": "可行替代方案在本次现场服务中未验证，alt_feasible记未知；成功参考及后续本地MuJoCo试验不证明该现场方案的接触可行性。"
+   }
+  ],
+  "gap_zh": "没有状态日志；640×360远景只能辨认机器人运动及片尾个别帧的白色小点，不能分辨实际手位、球撞到的具体身体部位、手指接触方向或毫秒级包围接触。撞身事实由 log step 37 的现场服务 outcome 补足；动态时机为低置信推断，无法区分手位/手型偏差与闭合时机，不能指定过早或过晚。log step 43 的球相对骨盆坐标由 agent 在假设骨盆位置[1.40,-0.52,1.02]下离线计算，并非现场球位读数，不能用来证明球已到手位。评分字段未报告三项原生指标，均填null。log step 47 之后的本地MuJoCo试验没有进入现场评分局；log step 78 的模型过滤发生在 log step 37 的物理失败已确定之后，不改变该局失败标签。",
+  "unmet": {
+   "fly_ball_caught": false
+  }
+ },
+ "summary_zh": "最后评分局中机器人行走但未接稳飞球，最终为0/1节点；log step 37 的现场服务在控制步397以接住前碰身体终止该局，失败锚点为视频约 3.96 s。完整现场脚本固定右臂目标和闭合指令，只安排校准行走与观察，没有接球阶段，根因改为认知·推理/规划；动态时机仅为拦截错失的推断，无法分清手位、手型与闭合时机，故整体置信度由8降至6。远景不能识别具体撞身部位；log step 78 的模型过滤发生在物理失败之后，后续本地试验不计入节点进度。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点未达成、断点 fly_ball_caught 与时钟（397步×0.01s≈3.97s≈视频3.96s）均成立。问题在于：视频证据里的手部与球的“观察”视频中并不可见（应改为日志推断）；根因只定“控制”而未按判别顺序考虑规划/接触设计——最后评分局的脚本本身就是“walk calibration and ball observation”，从未包含闭手或随球摆手的接球段。",
+    "n_issues": 3,
+    "n_major": 2
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点 fly_ball_caught（视频约 3.96 s，397步×0.01 s 核对）、根因（评分局脚本仅校准行走、无接球段，推理/规划）均有 log step 37 与服务 outcome 支持；观察与推断已区分，第一轮问题已修复。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
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+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8/03_label"
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+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--ecvukv8/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a8a845e3f64d78a288474a811900427348610f329d47f94b35cb224514cf703c",
+   "video_sha256": "abdf0b3bfcfdb802323ab38ef0bab4cd074aca8b73438b72611b16d7cf8549a8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--floeinz.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--floeinz.json
new file mode 100644
index 0000000000000000000000000000000000000000..6aa57b26ba5d9c35e2a2d2ebd8c1e7c1e24025cf
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--floeinz.json
@@ -0,0 +1,219 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard-realtime--floeinz",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 396,
+   "sim_steps": 2020,
+   "calls": 17,
+   "rows": 443,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2932.0,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 20.193,
+   "max_lag_s": 0.0353,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 408,
+   "late_steps": 0,
+   "requests_refused": 0,
+   "request_busy_s": 0.364,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard-realtime--floeinz/replay.mp4",
+  "duration_s": 4.0,
+  "fps": 25.0,
+  "frames": 100,
+  "sha256": "7d9dceeaea3cf9b3a089d3762c16f828760458b17acb0367c87b0e302a806dc7"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在场地内，双手未持球；视频 0.00–3.20 s 机器人随后迈步靠近来球方向。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 194,
+      "text_zh": "观察：视频 3.60–3.96 s 的逐帧图像显示机器人弯曲右臂准备接球，视频 3.92 s 白球仍在手臂上方，视频 3.96 s 白球到达右臂内侧附近，未出现球被包住后随手移动的过程。最后一次现场尝试的服务裁判在 log step 194 返回 control_steps=396、done=True、stages_reached=0，outcome 为“the ball touched the body before it was caught”。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 194,
+      "text_zh": "推断：log step 5 的服务规则说明只评分最后一次 episode；log step 194 重置并完成 episode 6，且其 396 个控制步与评分字段 n_actions=396 相符，因此此前测试不计入本节点。按任务文本每控制步 0.01 s，396×0.01=视频 3.96 s，与已检查的白球到达右臂附近并终止的片尾相符；接稳及同手保持窗口均未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.96 s 机器人双足在地面交替支撑，迈步至接球位置，片尾仍站立。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 3.92–3.96 s 白球下降至机器人弯曲的右臂附近；log step 194 的最后一次现场服务裁判明确记录球在接住前碰到禁触身体部位。远景不能区分具体部位，也不能确认右手是否曾先短暂触球或如何触球，故不标抓握。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 194,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.60–3.96 s 机器人正抬起并弯曲右臂接下降白球，视频 3.96 s 球到达右臂附近即结束；最后一次现场服务裁判在 log step 194 返回“the ball touched the body before it was caught”、stages_reached=0。失败发生在接球操作中，尚未接稳。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.96,
+    "log_step": 194,
+    "evidence_zh": "推断：视频 3.92 s 白球在机器人伸出的右手上方，视频 3.96 s 已下降到弯曲右臂内侧附近；log step 194 的现场裁判记录接住前触身且阶段为0。机器人伸手、闭手的接球动作未与下降来球配合形成捕获，球先碰到禁触身体部位；没有已经握住后再丢失的证据。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 188 的脚本预先指定行走、右臂关节目标、闭手和回撤，log step 194 又将闭手命令改为仿真 3.55 s 起、回撤改为仿真 3.85 s 起后执行最后一次尝试；该脚本在接球期间按预定动作运行，没有按来球观测实时修正。结合视频 3.92–3.96 s 机器人伸臂但球到达右臂附近，以及同一 log step 194 的原生触身判罚，判为接球动作控制未形成有效捕获；现有证据不能把失败进一步归结为特定闭手参数、接触几何或跟踪误差。"
+   }
+  ],
+  "gap_zh": "本次没有状态日志；640×360 的场地远景及视频 3.96 s 的终止帧不能分辨具体禁触身体部位、是否先短暂碰手、相对两侧接触或手指闭合程度。log step 191 的手部读数属于此前 episode 5，不能移用于最后一次 episode 6；agent 在 log step 198 自述“弹开”和位置误差，但最后一次裁判只证实接住前触身，不能据此标为已握住后脱手，也不能确认更细的控制或感知根因。"
+ },
+ "summary_zh": "评分对象为 log step 194 的最后一次现场尝试：机器人迈步并抬起右臂接球，但视频 3.96 s 来球到达右臂附近时，原生裁判以接住前触身终止，接稳飞球未达成（0/1）。断点位于接球操作中，现象为动态时机，预定接球动作未形成有效捕获，根因仅标到控制。远景且无状态日志，无法确认具体触球部位及闭手、接触几何或轨迹误差的各自作用；此前测试和 agent 的“弹开”自述不作为本次曾握住球的证据。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "最后一次现场尝试（log step 194，control_steps=396，视频 3.96 s）服务裁判判定接住前触身、stages_reached=0，节点未达成、断点、时钟换算（396×0.01 s）与保守的现象/根因标注均有证据支持；远景帧过小，只能确认机器人站立伸臂，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:17:19Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--floeinz/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--floeinz/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "0b8d4e60deee70517d1cb995c34e078944d6971f70956c13cb22e2bc760134f1",
+   "video_sha256": "7d9dceeaea3cf9b3a089d3762c16f828760458b17acb0367c87b0e302a806dc7",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr.json
new file mode 100644
index 0000000000000000000000000000000000000000..f9a3523993349880d3e6f234e205e2019dbc37b7
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr.json
@@ -0,0 +1,234 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 404,
+   "sim_steps": 4438,
+   "calls": 169,
+   "rows": 9900,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 1598.7,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 119.829,
+   "max_lag_s": 0.684,
+   "stalls": 127,
+   "stalled_s": 73.426,
+   "stalled_share": 0.6128,
+   "held_steps": 0,
+   "late_steps": 0,
+   "requests_refused": 0,
+   "request_busy_s": 25.468,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr/replay.mp4",
+  "duration_s": 4.08,
+  "fps": 25.0,
+  "frames": 102,
+  "sha256": "294294ef582140921c79478e46205c41b5e122d31e4c42c1808602200f276172"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.6,
+      "log_step": 134,
+      "text_zh": "观察：视频 0.0–3.8 s，机器人从初始站位迈步移动并举起接球手，未见球被手带动或持住；log step 134 显示脚本重置至 episode 11，提交从 control step 0 开始的900步动作计划。本片对应最后一次现场尝试，较早的十次尝试不计入节点进度。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 136,
+      "text_zh": "观察：视频 3.92–4.04 s，机器人举手并保持站立，未见球留在手内随手移动；640×360远景中的小球仅为极少像素，不能据此逐帧确认手球接触或球从手旁到腿旁的具体路径。log step 136 的服务原生裁判结果为 episode 11、control_steps=404、stages=0、outcome=\"the ball touched the ground\"。"
+     },
+     {
+      "t": 4.04,
+      "log_step": 136,
+      "text_zh": "推断：log step 134 报告控制周期0.01 s，log step 136 的最终 control step 404 对应视频约 4.04 s，与视频 4.04 s 的片尾停下核对一致；视频总长4.08 s，末帧时间为视频 4.04 s，此映射不用于断言可见的精确落地瞬间。结合该次原生裁判的 stages=0、球触地结果及视频未见持球状态，判定接稳飞球全程未达成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–4.04 s，机器人双脚交替接触场地地面支撑身体并向接球位置移动，末段保持站立；举起的接球手未见包住棒球，不计抓握接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 136,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.92–4.04 s，机器人举手站立，未见接住后持球随手移动；log step 136 的 episode 11 服务裁判报告 stages=0、outcome=\"the ball touched the ground\"，并判失败。推断：本次在接稳飞球步骤中未完成拦截，断点仍为正在执行的接稳飞球；球从手旁掠过的精确路径不能由远景确认。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.96,
+    "log_step": 136,
+    "evidence_zh": "推断：视频 3.92–4.04 s 可见机器人举手站立，未见持球随手移动；log step 136 的 episode 11 原生裁判报告 stages=0、outcome=\"the ball touched the ground\"。结合正在执行的飞球接取动作，判断机器人未能在飞球落地前完成拦截，保留动态时机现象；不能从远景确认具体早晚误差、手球相对位置或“接球手未跟上”的细节。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 138 展示该次脚本以 make_scout_plan 预生成步行和手臂姿态，再用 r.submit 提交；log step 134 确认从控制步0提交900步计划。视频 3.92–4.04 s 可见机器人举手站立，而 log step 136 的原生裁判报告 stages=0、球触地，说明该次步行、摆臂与飞球拦截的配合未奏效。现有证据仅支持控制层级，不能确认手与球路径错开的精确关系，也不能判定具体是接触几何、轨迹跟踪还是闭手参数。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志；640×360远景中的小球仅为极少像素，视频 3.92–4.04 s 无法可靠逐帧分辨其与手、腿的相对运动及接触关系，不能把“从手旁掠过、落至腿旁”作为直接观察。远景也不能分辨手指间接触、90°包围角或0.02秒级接触中断，因此不排除未成抓握的瞬时擦碰，也不将举手动作记为抓握；动态时机是结合原生裁判落地结果与机器人接球动作的推断。最终控制器在 log step 138 的输出有截断，缺少完整关节命令与实测误差，根因无法进一步细分；三个原生指标均未在评分器字段中报告。",
+  "unmet": {
+   "fly_ball_caught": false
+  }
+ },
+ "summary_zh": "本次评分采用最后一次现场尝试 episode 11：机器人迈步并举手接球，但结合 log step 136 的 stages=0、球触地结果及视频未见持球状态，接稳飞球节点始终未达到，最终为0/1。动态时机和控制层级根因来自接球动作、控制脚本与原生裁判结果的综合推断。缺少状态日志，远景不能可靠逐帧辨清小球与手的相对路径，控制器日志又有截断，故置信度由8降为7，不能确定微观接触或具体控制子因。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "节点未达成、final=0、断点 fly_ball_caught、评分 stages=0 与落地判负均与视频和 log step 136 一致；问题在于证据文字把 640×360 远景中约1像素的小球轨迹写成“观察”，细节（球从手旁掠过、落至腿旁）视频分辨不出，现象“动态时机”仅由 log 的落地结果加推断支撑。",
+    "n_issues": 1,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点 fly_ball_caught 未达成、final=0、断点与 log step 136 的 episode 11 原生裁判结果（stages=0、球触地、control_steps=404≈视频 4.04 s）一致；证据已区分观察与推断，第1轮问题已修正，未发现新的内容错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:19:50Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--m94r3sr/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e318a301d9b4055bca605d2f66abbd61b066b4d37155ac773ca2e545542450fd",
+   "video_sha256": "294294ef582140921c79478e46205c41b5e122d31e4c42c1808602200f276172",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--mduez8w.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--mduez8w.json
new file mode 100644
index 0000000000000000000000000000000000000000..311c23f25ca401e6c1146d3516cd44ad16d18654
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--mduez8w.json
@@ -0,0 +1,219 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard-realtime--mduez8w",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 398,
+   "sim_steps": 2412,
+   "calls": 860,
+   "rows": 4500,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2477.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 24.122,
+   "max_lag_s": 0.0335,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 404,
+   "late_steps": 0,
+   "requests_refused": 2,
+   "request_busy_s": 5.93,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard-realtime--mduez8w/replay.mp4",
+  "duration_s": 4.0,
+  "fps": 25.0,
+  "frames": 100,
+  "sha256": "a40d17b4ac09fc08120383b72daf10bdd72eb234e9f14b41ef3cdf11b1fe5fde"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.96 s 中，机器人从初始站位向前及侧方走动，并在视频约 3.4 s 后调整右臂迎球；视频 3.84、3.88、3.92、3.96 s 显示小白球下降至手臂和身体附近，未出现球留在同一只手中随手移动的接稳状态，机器人至末帧仍站立。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 191,
+      "text_zh": "观察：log step 189 记录最后一次 reset 为 episode 6，提交900行计划后该局于 control_steps=398 失败；log step 191 的机器人服务原生裁判字段为 stages_reached=0、stages_total=2、outcome=\"the ball touched the body before it was caught\"，holding_right=0、hand_closure_right=0.162，明确没有进入接住阶段。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 189,
+      "text_zh": "推断：log step 8 的控制周期为0.01秒，最终局的398个控制步对应仿真 3.98 s；其结束与视频 3.96 s 末帧处球到达身体的事件吻合，视频按25 fps取样、总长4.00秒。采用该局裁判结果佐证未接稳，不将前五次试验并入此节点；成功参考录像约视频 3.92–4.92 s 可见球停留在伸出的手边，本局没有这一持续持球段。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.96 s 中机器人双脚交替接触场地地面，双腿支撑身体向落球位置走动并迎球，未见摔倒。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：log step 191 的最终局原生裁判确认棒球在被接住前碰到身体；视频 3.92–3.96 s 球下降到机器人手臂及身体附近，远景不足以区分具体禁触身体部位。候选接触方式为“被动碰撞”：飞球撞到身体，既非抓握、托举，也非机器人主动推扫或击打。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 3.96,
+   "log_step": 191,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.4–3.96 s 机器人调整右臂迎接下降的球，但末段球没有留在手中；log step 189、191 确认这是最终第六局，裁判在control step 398因球接住前触身终止该局，接住与保持阶段均未到达。断点为正在执行的“接稳飞球”。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.96,
+    "log_step": 191,
+    "evidence_zh": "观察：视频 3.84–3.96 s 白球快速下降至机器人右臂及身体附近，右手未将球截停、包住；最终局原生裁判在log step 191报告球接住前碰身体、接住阶段未到达。推断：机器人迎接运动中的球时未实现手球同步拦截，属于动态时机失配。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：agent脚本在log step 187将右臂目标于仿真 3.30–3.80 s 插值到预设接球姿态，闭手指令到仿真 3.90 s 才开始、仿真 4.05 s 才达到1；log step 189实际提交该计划后，log step 191在仿真 3.98 s 的终局读数为hand_closure_right=0.162、holding_right=0。结合视频 3.84–3.96 s 球到达而未被截停，说明预设手臂运动和闭手控制未在球通过时建立包围接触。log step 219另有agent自行计算的末态手部深度估计与FK预测不一致，但其坐标和误差尚未独立核实，因此只归为控制，不细分子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25 fps远景不能确定手指是否短暂擦到球、触身的具体部位、90°包围接触或0.02秒中断。原生裁判记录足以判定接住阶段未达成；agent在log step 219、227、232报告的手位误差来自其自行计算，不能据此确定精确偏差，也不足以将根因进一步区分为模型/逆解误差或闭手时序问题。三个原生数值指标在reward字段中均未报告，故填null。"
+ },
+ "summary_zh": "最终评分局中，机器人走向落球位置并伸右手迎球，但“接稳飞球”始终未达成，节点终态为0/1。视频约 3.96 s 球到达身体附近，最终局原生裁判确认接住前触身；预设手臂及闭手控制未实现同步拦截，标注动态时机与控制。远景和缺少状态日志限制了微观接触及具体控制子因的判断。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点 fly_ball_caught 未达成、断点、动态时机与控制（开环预设臂/闭手时序，无反馈）均有 log step 189/191 的服务原生裁判字段（control_steps=398、stages_reached=0、球接住前触身）支撑；视频 3.92 s 可见球在手臂上方附近，末帧球被遮挡，与标注的观察/推断划分一致。时间钟名清楚，未换算 agent 时间。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:15:36Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--mduez8w/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--mduez8w/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8e31aaeca7ca9207b6c28652c21e1fddaea9bce4ff4cefdaaec10e11ae0f1e13",
+   "video_sha256": "a40d17b4ac09fc08120383b72daf10bdd72eb234e9f14b41ef3cdf11b1fe5fde",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--qhbhsou.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--qhbhsou.json
new file mode 100644
index 0000000000000000000000000000000000000000..409d7be42da1f0d813abaf125a21ba9ba26d94e9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--qhbhsou.json
@@ -0,0 +1,221 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard-realtime--qhbhsou",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 425,
+   "sim_steps": 2488,
+   "calls": 3334,
+   "rows": 19665,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 747.8,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 24.865,
+   "max_lag_s": 0.0394,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 404,
+   "late_steps": 2,
+   "requests_refused": 5,
+   "request_busy_s": 2.399,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard-realtime--qhbhsou/replay.mp4",
+  "duration_s": 4.28,
+  "fps": 25.0,
+  "frames": 107,
+  "sha256": "a887c21995428c8b547af099de3bc14ff73c9eb23bba3c520d3d9442cd255738"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在场地内，手中无球；视频 0.40–3.60 s 机器人向前侧移并伸出右手准备接球。"
+     },
+     {
+      "t": 3.96,
+      "log_step": 125,
+      "text_zh": "观察：视频 3.88–3.96 s 白球下降到机器人右手边；视频 4.00–4.24 s 球从右手边向下离开并到达地面，没有随手保持。log step 125 的机器人服务返回第六次尝试结束，outcome 为 the ball touched the ground，stages_reached 为 0、stages_total 为 2；这里的阶段值来自任务原生裁判，表示接住和保持两个验收阶段均未通过。"
+     },
+     {
+      "t": 4.24,
+      "log_step": 125,
+      "text_zh": "推断：视频 3.96–4.24 s 的球手分离和落地与 log step 125 的最后一次现场尝试判决一致，接稳飞球从未完成，末态为假；前五次重置前的调试不计入本段。成功参考在参考视频约 4.00–4.92 s 可见球留在右手边，本段没有这一持续持球表现。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "推断：视频约 3.96–4.04 s 球到达右手边后改变运动并下落，右手与球发生短暂碰触，未形成可见包握。候选名称“短暂碰触”：画面不支持抓握、持续托举、推扫或压擦，故用其他；无法分辨具体指节或掌缘。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.24 s 机器人双脚在地面交替支撑、向接球位置移动，随后站立伸右手；片尾没有摔倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "fly_ball_caught",
+   "t": 4.0,
+   "log_step": 125,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.96–4.00 s 机器人正用伸出的右手承接下降的球，随后视频 4.04–4.24 s 球离开手边、下落至地面，接球没有完成或得到补救。log step 125 明确记录最后一次重置后的第六次现场尝试因球触地结束、阶段完成数 0/2。"
+  },
+  "unmet": {
+   "fly_ball_caught": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没建立接触",
+    "t": 4.0,
+    "log_step": 125,
+    "evidence_zh": "推断：视频 3.96–4.24 s 球虽经过右手边并发生短暂碰触，却没有停留在手内，随即下落；log step 125 的原生裁判记录接住阶段也未通过（0/2）。缺失的是四指组与拇指或掌部的包围接触，不能把短暂碰球算作已经抓住后脱手。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 4.0,
+    "log_step": 123,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 123 的最终控制脚本安排右臂到达承接姿态、右手预闭合后完全闭合，并安排手臂回撤缓冲；log step 125 确认实际执行该脚本。视频 3.96–4.24 s 中球已到达右手附近，机器人仍未形成包握而让球下落，说明这组接球动作未实现有效捕获。现有证据支持控制层失败，但不能进一步区分接触几何、闭手时机或关节跟踪误差。"
+   }
+  ],
+  "gap_zh": "无状态日志或逐步原生接触对、包握标记及手指实际轨迹；25 fps 场地远景只能定位球手相遇和随后落地，无法分辨具体接触部位、90°包围夹角或0.02秒中断。短暂右手触球由相遇前后的球运动推断；控制根因不细分子类，且不将前五次调试或 agent 在 log step 133 的动作总结当作本段已接住的证据。"
+ },
+ "summary_zh": "最后一次现场尝试中，机器人移动到接球位置并伸出右手，视频约 3.96–4.00 s 球到达手边，但未建立包握，随后落地，接稳飞球最终完成 0/1。log step 125 的原生裁判返回球触地、阶段完成数 0/2，与画面一致；失败归于接球控制，无法从远景和现有日志细分闭手时机、接触几何或跟踪误差。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点 fly_ball_caught 为假、断点在该步骤、log step 125 的原生裁判（球触地、阶段 0/2）与帧一致；标签保守，未发现需改内容的错误。右手与球是否真有短暂碰触在 25 fps 远景中无法确定，文件已标为推断并写入 gap_zh。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:16:24Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--qhbhsou/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--qhbhsou/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8c28fd6f5c8e802d5f98f968993f5fa719d19eb40aeac945b55c18cf0a295931",
+   "video_sha256": "a887c21995428c8b547af099de3bc14ff73c9eb23bba3c520d3d9442cd255738",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--xvrrhhr.json b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--xvrrhhr.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b2ee9d263c424176c3d6752c951ff50cbe98a55
--- /dev/null
+++ b/phase2/embodied-olympics-fun/catch/trajectories/embodied-olympics-fun-catch-i00-standard-realtime--xvrrhhr.json
@@ -0,0 +1,200 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-catch-i00-standard-realtime--xvrrhhr",
+ "taskKey": "embodied-olympics-fun/catch",
+ "dag_sha256": "61132849363e640170264bbd47c4c4cebc23f7ecfe683cae11a4abb07d10d44b",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "live_success": 1,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 496,
+   "sim_steps": 1700,
+   "calls": 680,
+   "rows": 13040,
+   "resets": 3,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2037.0,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 16.997,
+   "max_lag_s": 0.0307,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 2,
+   "late_steps": 345,
+   "requests_refused": 1,
+   "request_busy_s": 1.175,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-catch-i00-standard-realtime--xvrrhhr/replay.mp4",
+  "duration_s": 5.0,
+  "fps": 25.0,
+  "frames": 125,
+  "sha256": "b89501d580be7ad1fbac72ef474d86f5150980ed0fff81da832365d1a20c84ea"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "fly_ball_caught": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：本次视频 0.00 s 机器人站在场地上，双手未持球；视频 1.60–3.60 s 机器人向前移动并伸出右手准备接球，双脚交替支撑。"
+     },
+     {
+      "t": 3.96,
+      "log_step": null,
+      "text_zh": "观察：本次视频 3.92 s 白球位于机器人右手前上方，视频 3.96 s 白球下降到右手处；视频 4.00–4.96 s 白色球点留在右手中并随手小幅移动，机器人始终直立，未见球继续落向地面。已逐帧检查视频 3.76–4.96 s。"
+     },
+     {
+      "t": 4.96,
+      "log_step": 70,
+      "text_zh": "观察：log step 68 启动第4次现场尝试，log step 70 的该次服务终局记录给出 episode=4、control_steps=496、sim_time_s=4.96、outcome=success、stages_reached=2、stages_total=2；inputs/run.json 的评分器字段 success=1、live_success=1、graded_by_live=1，最终评分采用此次现场成功。"
+     },
+     {
+      "t": 4.96,
+      "log_step": 70,
+      "text_zh": "推断：受评第4局的控制步长为0.01 s，log step 70 的496个控制步对应视频 4.96 s；视频约 3.96 s 接球及视频 4.96 s 仍持球的末帧与这一映射相符。节点判据包含100步持球验收，故在视频 4.96 s 记完成，不能在最初接触时即记完成；包围接触角度及容许中断由原生裁判成功记录佐证，远景不能逐项分辨。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "机器人用右侧Inspire裸手接球，随后同一只手闭合包住白球至片尾。视频约 3.96–4.96 s 的球随右手保持可见，结合log step 70 的原生接球及持球两阶段成功判定抓握；未见左手参与持球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双足接触场地地面，腿部支撑其行进至接球位置，并在右手接球、持球期间保持身体直立；依据本次视频 0.00–4.96 s。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "catch_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "catch_speed_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  },
+  {
+   "name": "landed_from_start_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "受评视频对应第4次现场尝试：机器人行进后在视频约 3.96 s 用右手接到下降白球，并在视频 4.96 s 完成接稳飞球节点，终态为1/1。log step 70 的现场裁判记录为success、两阶段全部通过，与本次末帧持球且机器人直立的画面一致；前三次失败尝试不计入本次节点轨迹。没有状态日志，远景无法分辨90°包围接触和0.02秒中断，相关验收依赖原生裁判记录；评分字段未报告三项原生指标，均保留为null。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，节点 fly_ball_caught 在视频 4.96 s 完成（log step 70 的 control_steps=496 对应 4.96 s，服务终局记录 success），接触标注与右手持球一致；未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:17:55Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--xvrrhhr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-catch-i00-standard-realtime--xvrrhhr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "74f9effb394c03ed7f482848d233b86984a949b52a5b6df812f5ce3c1e9b2fa9",
+   "video_sha256": "b89501d580be7ad1fbac72ef474d86f5150980ed0fff81da832365d1a20c84ea",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--2yxpvjl.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--2yxpvjl.json
new file mode 100644
index 0000000000000000000000000000000000000000..80b81f40bc423e1a6e01784665e35d75f8c5ec1f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--2yxpvjl.json
@@ -0,0 +1,218 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-privileged--2yxpvjl",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 367,
+   "sim_steps": 367,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 5.99,
+   "bad_trajectory": 0,
+   "metric_distance_m": 3.897,
+   "metric_release_height_m": 1.683,
+   "metric_release_speed_m_s": 6.58,
+   "metric_release_spin_rad_s": 35.7,
+   "metric_release_tilt_deg": 68.7,
+   "metric_release_time_s": 2.418,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 752,
+   "agent_resets": 8196,
+   "agent_replays": 6,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 18.789,
+   "peak_processes": 30,
+   "peak_disk_gb": 0.982,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "over_memory_gb": 1,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-privileged--2yxpvjl/replay.mp4",
+  "duration_s": 3.68,
+  "fps": 25.0,
+  "frames": 92,
+  "sha256": "69709503b5c66d3cc78fed2d1ebd4780126eb7818726f72f4b2b52b332235094"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–2.40 s，机器人右手持橙红色铁饼，转动躯干并摆右臂；视频 2.44–2.52 s，铁饼与右手分离并向圈前飞出。"
+     },
+     {
+      "t": 3.64,
+      "log_step": 295,
+      "text_zh": "观察：视频 3.28–3.64 s，铁饼在圈前近处持续下降，机器人仍在圈内。log step 295 对最终交付文件的原生重放报告 distance_m=3.897、failed=\"the throw is short of the qualifying mark\"、stages=[\"release\"]；与 inputs/run.json 的评分距离和367个执行步一致，未达到15.0米首次落点门槛。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频 0.00–2.40 s，机器人右手掌与弯曲手指围持橙红色铁饼，铁饼随右手转动和摆动，随后脱手。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.64 s，机器人双腿支撑投掷动作，脚在灰色圈内接地，躯干旋转带动右臂。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.64,
+      "log_step": 295,
+      "text_zh": "观察：视频 0.00–3.64 s，机器人没有从后半圈迈到绿色圈外地台；末段仅在圈内完成摆臂与身体倾斜，未出现后退离圈站稳的动作。log step 295 的最终交付重放只达到 release 阶段，投掷距离不足即结束。"
+     },
+     {
+      "t": 3.64,
+      "log_step": 298,
+      "text_zh": "推断：有效落地前置节点未达，后圈离圈站稳节点不成立。agent 自述离圈步法曾单独测试、但交付中未运行（log step 298），不将会话中的离圈测试计入受评轨迹；成功参考视频 4.00–6.60 s 可见后退跨出灰圈的动作，本次录像中没有该动作。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": 3.897,
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 2.44,
+   "log_step": 295,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.40–2.52 s，机器人摆右臂将铁饼投出，视频 3.28–3.64 s 铁饼在圈前近处下降；log step 295 对最终交付文件重放确认首次落点距离为3.897米，裁判以投掷不足15.0米结束本次尝试，仅 release 阶段成立。推断：未修复的失败步骤是铁饼落区达标，断点以出手画面作导航锚点。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 2.44,
+    "log_step": 295,
+    "evidence_zh": "观察：视频 2.44–3.64 s，机器人投出的铁饼飞出后落向圈前近处，未送到远处目标区域；log step 295 的原生裁判重放给出首次落点距离3.897米，并明确判定 \"the throw is short of the qualifying mark\"。这是本次投掷落点过近，非目标处释放后失稳。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：投掷控制未能维持持饼加速至脚本预定释放。log step 261 的最终参数设置 t_go=2.761、t_snap=2.699；log step 272 的生成代码在仿真 t_go 之前保持 grip=1，并在仿真 t_snap 才开始躯干回摆，但 log step 295 的同一交付重放已在仿真 2.418 s 记录最后持握与6.58米/秒出手速度，随后首次落点仅3.897米。视频 2.40 s 饼仍贴近右手、视频 2.48 s 已分离，与提前脱手一致；具体是接触承载还是关节跟踪限制，现有记录不能区分。"
+   }
+  ],
+  "gap_zh": "本次没有状态日志。斜视录像不能精确测量首次接地点和距离，末帧视频 3.64 s 时铁饼仍接近地面，首次接地及3.897米结论由最终交付文件的原生重放结果（log step 295）与评分字段共同确认。缺少受评投掷的逐帧接触力、持握接触对和关节跟踪记录，故控制根因不细分；retouch_dv_m_s 未报告，保留 null。"
+ },
+ "summary_zh": "机器人在圈内右手持饼、转身摆臂并投出，视频约 2.44 s 可见脱手，但首次落点仅距圈内沿3.897米，铁饼落区达标与后圈离圈站稳均未完成（0/2）。断点为投掷操作，现象是落点过近；最终脚本预定松手之前已脱手，支持控制失败，但没有接触力和关节跟踪记录来细分原因。精确首次落点依照 log step 295 的最终交付重放及评分字段判定。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点值、时间、断点、现象（运动·位姿不准）与根因（控制·控制）均有视频与 log step 295 重放（distance_m=3.897、release 阶段成立）支持，且与 03 的投篮先例一致；未发现需要改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:04:11Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--2yxpvjl/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--2yxpvjl/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "0f9d065f69032b7e355c7632b5c4330a254ce811a4b36a8e2ee0a36388a37d80",
+   "video_sha256": "69709503b5c66d3cc78fed2d1ebd4780126eb7818726f72f4b2b52b332235094",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--pxbblpf.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--pxbblpf.json
new file mode 100644
index 0000000000000000000000000000000000000000..d7a9bd80a7b0b61df9bf840e51665b61d3dd5b12
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--pxbblpf.json
@@ -0,0 +1,215 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-privileged--pxbblpf",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 199,
+   "sim_steps": 199,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 1,
+   "replay_s": 5.7,
+   "bad_trajectory": 0,
+   "metric_release_height_m": 1.767,
+   "metric_release_speed_m_s": 11.52,
+   "metric_release_spin_rad_s": 15.3,
+   "metric_release_tilt_deg": 55.9,
+   "metric_release_time_s": 1.492,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 475,
+   "agent_resets": 369,
+   "agent_replays": 5,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-privileged--pxbblpf/replay.mp4",
+  "duration_s": 2.0,
+  "fps": 25.0,
+  "frames": 50,
+  "sha256": "1765980400ad76d749738e6ddc5f139c2487b4d40d82d595003f02b333b9de73"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–1.48 s，机器人站在圈内，右手持橙红色铁饼转体、摆臂；视频 1.52–1.56 s 铁饼与右手分离并向扇形方向飞出。"
+     },
+     {
+      "t": 1.8,
+      "log_step": null,
+      "text_zh": "观察：视频 1.60–1.96 s 机器人持续倾倒，视频 1.80 s 铁饼仍在画面上方空中，随后飞出视野；截至视频 1.96 s 没有看到首次触地。评分器 reward 记录 stages_reached=1、stages_total=3、fell=1，且仅报告脱手诊断值，没有 distance_m；结合已见脱手与倒地，达标落地节点未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频 0.00–1.48 s，机器人右手持握铁饼，铁饼随右手转体摆臂运动；视频 1.52–1.56 s 脱手后进入无接触飞行。初始手指细节较小，但持握随动及评分器确认的脱手阶段共同支持抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.48 s，机器人双脚在投掷圈内承重，腿和躯干支撑转体投掷；视频 1.60–1.96 s 身体倾倒并失去正常足部支撑。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.96,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–1.96 s，机器人只完成圈内转体投掷，随后倒向画面左侧，末帧身体接近地面、单腿翘起；没有有效落地后向后半圈迈出并连续站稳的过程。"
+     },
+     {
+      "t": null,
+      "log_step": 953,
+      "text_zh": "观察：log step 953 的最终生成脚本包含蓄力、加速投掷及收臂阻尼恢复，随后保存轨迹，没有后圈离圈动作；评分器仅到达一个原生阶段且 fell=1。推断：本节点的有效落地前置未满足，亦未进入合法离圈站稳步骤。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 1.6,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.52–1.56 s 铁饼刚脱离右手，机器人投掷随动后明显倾斜；视频 1.60–1.96 s 躯干持续下降直至倒地，铁饼在视频 1.80 s 尚在空中。评分器 reward 的 fell=1、episode_over=1，原生三阶段只完成一个。推断：机器人在完成达标落地前、仍进行投掷及收势时失去平衡，本次投掷未修复，故断点为铁饼落区达标。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.6,
+    "log_step": null,
+    "evidence_zh": "观察：视频 1.60–1.76 s，机器人躯干从斜立转为接近水平，支撑脚未能接住身体；视频 1.80–1.96 s 躯干继续跌落、另一条腿翘起，末帧已倒地。评分器 reward 同时记录 fell=1。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 953,
+    "evidence_zh": "推断：log step 953 的交付生成代码以 lowcmd 执行快速腰部转动与肩腕加速，投后仅收右臂、保持腿部关节目标并对腰部加阻尼；视频 1.52–1.96 s 显示该动作未能在脱手后恢复身体支撑而持续倒地，评分器记录 deterministic=1、fell=1。证据支持投掷与收势的全身稳定控制失败，但不足以单独归因于接触布局、反馈律或某个增益。",
+    "source_zh": "日志 / 视频 / 评分器字段"
+   }
+  ],
+  "gap_zh": "没有状态日志，视频也不能分辨逐指接触、足部受力及关节跟踪误差，因而控制根因不细分。铁饼在视频结束前没有可见首次落地，评分器未报告 distance_m 或 retouch_dv_m_s，两个原生指标均留 null；log step 965 中 agent 自述的落点 13.05 m 不能作为本次评分轨迹的落地事实，视频与评分器显示其先因跌倒终止。"
+ },
+ "summary_zh": "机器人完成右手持饼转体并脱手，但视频 1.60–1.96 s 显示其在铁饼仍飞行时失衡倒地；两个 DAG 节点均未完成，原生脱手阶段的 1/3 不等于一个 DAG 节点完成。断点为铁饼落区达标的操作中，现象为全身平衡失败，最终生成脚本与画面支持控制根因。无状态日志或首次落地记录，不能核验落距、接触冲量或进一步区分失稳的控制机制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频一致：圈内转体投掷、约1.5 s脱手、随后倒地，铁饼在视频结束前未见落地；两个节点未完成、断点在落区达标、现象平衡、根因停在控制均有证据支持。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:10:36Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--pxbblpf/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--pxbblpf/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9b925ff099229d377044799d86b65c4a0872a19c4e00097c1b013459b30bcb94",
+   "video_sha256": "1765980400ad76d749738e6ddc5f139c2487b4d40d82d595003f02b333b9de73",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--qz6geqr.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--qz6geqr.json
new file mode 100644
index 0000000000000000000000000000000000000000..9bf6c80897b23bee4b690950b0e997e608e95503
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--qz6geqr.json
@@ -0,0 +1,222 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-privileged--qz6geqr",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 285,
+   "sim_steps": 285,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 5.87,
+   "bad_trajectory": 0,
+   "metric_distance_m": 14.075,
+   "metric_release_height_m": 1.753,
+   "metric_release_speed_m_s": 11.97,
+   "metric_release_spin_rad_s": 17.9,
+   "metric_release_tilt_deg": 54.5,
+   "metric_release_time_s": 1.244,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 131,
+   "agent_resets": 14677,
+   "agent_replays": 5,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 2.188,
+   "peak_processes": 20,
+   "peak_disk_gb": 0.243,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-privileged--qz6geqr/replay.mp4",
+  "duration_s": 2.88,
+  "fps": 25.0,
+  "frames": 72,
+  "sha256": "5e8a1937a49c6001be2bc6ca4ce975b6694b6dd51d820f3bf8720b51e22b5900"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.88,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 橙红色铁饼位于机器人右手，视频 0.60–1.20 s 随右手转体、摆臂；视频 1.24–1.32 s 铁饼离手向场地飞出，随后机器人收臂并留在圈内。"
+     },
+     {
+      "t": 2.8,
+      "log_step": 157,
+      "text_zh": "观察：视频 2.48–2.84 s 铁饼向远处草地下降，末帧可见小橙点落在场地；最终交付的重放输出（log step 157）报告 failed=\"the throw is short of the qualifying mark\"、stages=[\"release\"]，交付文件为 285 行。评分器 reward.metric_distance_m=14.075，低于节点要求的 15.0 米；远处落点的精确距离取评分器记录，未由画面测量。"
+     },
+     {
+      "t": 2.84,
+      "log_step": 158,
+      "text_zh": "推断：本次投掷虽已脱手并落地，但首次落点距离不足，故该节点从未成立。agent 在 log step 158 自述的 14.15 米沿用了会话优化结果（log step 156 为 14.153 米），本标签采用正式评分器的 14.075 米；不把调试试投当成本次评分结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频 0.00–1.20 s 右侧灵巧手持住铁饼边缘，铁饼从水平转向近竖直并随手摆动，之后脱手飞行；结合任务初始手指扣住饼缘的说明，判为右手抓握，未见左手参与持饼。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.84 s 机器人双脚在投掷圈内支撑身体，躯干转动配合右臂投掷，投后仍直立在圈内。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.84,
+      "log_step": 157,
+      "text_zh": "观察：视频 1.56–2.84 s 机器人收臂后仍在灰色投掷圈内，未向后圈外迈出。成功参考视频约 4.80–6.80 s 可见机器人向圈后绿色地台后退并停住，本次没有这一动作；log step 157 的最终重放只达到 release 阶段，未出现 landing 或 exit。"
+     },
+     {
+      "t": 2.84,
+      "log_step": 141,
+      "text_zh": "推断：前置的合格落地未成立，且本次视频没有后圈离圈动作，故后圈离圈站稳节点未达成，也未开始尝试。log step 141 的生成脚本修改明确在落地判负后保存投掷轨迹并返回，未执行离圈分支；log step 157 确认最终保存的是这类投掷判负结果。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better",
+   "value": 14.075
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 2.8,
+   "log_step": 157,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.24–1.32 s 机器人将铁饼掷出，视频 2.76–2.84 s 铁饼降到远处草地，机器人仍在圈内直立。log step 157 的最终交付重放明确报告投掷距离不足，评分器首次落点距离为 14.075 米，未达到 15.0 米；这是正在执行的投掷步骤失败，后圈离圈尚未开始。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 2.8,
+    "log_step": 157,
+    "evidence_zh": "观察：视频 1.28–2.84 s 可见铁饼离手飞行后降向场地，机器人没有跌倒；log step 157 的交付重放报告 \"the throw is short of the qualifying mark\"，正式评分器 metric_distance_m=14.075。推断：投掷的首次落点落在所需距离之前，差 0.925 米，属于投掷落点偏差。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志 / 视频 / 评分器字段",
+    "evidence_zh": "推断：agent 的摆臂与释放控制未形成能达到距离门槛的投掷。会话优化（log step 156）围绕摆臂、手腕及释放参数搜索，最佳候选仍被裁判判为距离不足；最终保存并重放的 285 行轨迹（log step 157）同样距离不足，视频 1.24–2.84 s 与投出后短距离落地的过程一致，评分器记录脱手速度 11.97 米/秒、首次落点 14.075 米。目标与阶段顺序正确，证据只支持控制层归因，不能确定是哪一项参数或接触细节造成。"
+   }
+  ],
+  "gap_zh": "无状态日志；斜视视频中远处铁饼只有少量像素，首次落地距离依正式评分器和最终重放判词确定，无法独立精测首次触地时刻或接触冲量，retouch_dv_m_s 未报告。agent 在 log step 158 自述摩擦滑移限制速度，但没有本次投掷的手指接触力、滑移及指令跟踪记录，不能据此确认抓握设计、参数调试等更细根因，更不能认定所有合法方案不可行。"
+ },
+ "summary_zh": "本次评分轨迹完成了持饼转体、摆臂和脱手，但首次落点仅为 14.075 米，未达到 15.0 米门槛，两个语义节点最终均未完成（0/2）。断点为铁饼落区达标，现象为投掷落点过近，根因仅归到控制；机器人未跌倒，后圈离圈分支尚未执行。无状态日志，精确落点依评分器，agent 所称 14.15 米及摩擦速度上限不作为本次精确结果或已证实根因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点（投掷步骤，操作中）、位姿不准+控制根因与评分器 14.075 m 一致，未发现需改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:30Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--qz6geqr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--qz6geqr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "514d1513fc840007d3099e7b8833dc1fc7f94190a19df1f41ae6b8c0f09c2f3a",
+   "video_sha256": "5e8a1937a49c6001be2bc6ca4ce975b6694b6dd51d820f3bf8720b51e22b5900",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--ugrcl8n.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--ugrcl8n.json
new file mode 100644
index 0000000000000000000000000000000000000000..ffd7907e28f934d8e89e8171958b372c1a284c1a
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--ugrcl8n.json
@@ -0,0 +1,251 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-privileged--ugrcl8n",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 175,
+   "sim_steps": 175,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 4.52,
+   "bad_trajectory": 0,
+   "metric_distance_m": 2.251,
+   "metric_release_height_m": 2.26,
+   "metric_release_speed_m_s": 6.08,
+   "metric_release_spin_rad_s": 2.3,
+   "metric_release_tilt_deg": 52.7,
+   "metric_release_time_s": 0.189,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 172,
+   "agent_resets": 1042,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.828,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.239,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-privileged--ugrcl8n/replay.mp4",
+  "duration_s": 1.76,
+  "fps": 25.0,
+  "frames": 44,
+  "sha256": "352d6524f390a768ecf17d23b8f7330fd6ba76fdddcff938575f22a1315aa098"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.28,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.20 s，机器人右手带着橙红色铁饼向上摆动；视频 0.24–0.56 s，铁饼被抛至机器人头顶上方并接近画面上边缘，随后向画面左侧移动，目标扇形位于画面右上方。"
+     },
+     {
+      "t": 1.72,
+      "log_step": 149,
+      "text_zh": "观察：视频 1.36–1.72 s，橙红色铁饼从画面左上部向左边缘草地方向下降，未见它进入右上方目标扇形；圈左侧的深色斑点在视频 1.00、1.40、1.72 s 持续向左移动，并非保持不动的落地物体。推断：深色斑点是飞行中铁饼的投影，不能据此认定铁饼较早落地。观察：log step 149 的官方交付文件重放结果为 failed=\"the discus landed outside the sector\"、stages=[\"release\"]、distance_m=2.251；log step 154 再次生成并重放最终交付文件，得到相同结果，且 run.json 的评分器字段 metric_distance_m=2.251、deterministic=1。"
+     },
+     {
+      "t": 1.72,
+      "log_step": 154,
+      "text_zh": "推断：最终交付文件的官方重放与本段视频的反向飞行相符，首次落地既在扇形外，距离 2.251 米也低于 15 米，因此本节点全程未达成；不以原生脱手阶段代替本 DAG 的落区达标节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频 0.00–0.20 s 铁饼随右手摆动，随后脱离；结合 inputs/run.json 的 task_text 所述初始手指卷住饼沿，以及 log step 149 的原生 release 阶段，右侧五指手初始抓握铁饼再投出。斜视画面不能分辨每根手指的接触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.52 s，机器人双脚在灰色投掷圈内接地，腿和躯干支撑右臂摆动投饼。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 147,
+      "text_zh": "观察：视频 0.60–1.72 s，机器人有脚步与身体位移，仍在圈内并逐渐向画面右侧明显前倾，未出现从后侧绿色地台离圈并站稳的画面；log step 147 的最终生成脚本在投掷后切入负向行走指令，log step 154 的最终官方重放仍仅报告 release 阶段。"
+     },
+     {
+      "t": 1.72,
+      "log_step": 154,
+      "text_zh": "推断：有效落地这一前置节点始终未达，且视频至 1.72 s 末帧没有后圈离圈站稳结果，因此本 final 节点未达成。成功参考视频约 4.8–6.4 s 可见机器人到达圈后绿色地台，而本次视频没有该结果；参考只用于识别视图中的离圈表现。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.60–1.72 s，机器人脚部在投掷圈内支撑并迈动，身体发生位移。推断：结合 log step 147 的负向行走指令，这是交付动作中离圈阶段的尝试，但没有完成后半圈离圈或站稳。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better",
+   "value": 2.251
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 0.32,
+   "log_step": 149,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.28–0.52 s，机器人右手投出的铁饼向画面左上方飞去，目标扇形在画面右上方；此后没有补救投掷。log step 149 的交付文件官方重放及 log step 154 的最终复验均报告扇形外落地、distance_m=2.251、仅 release 阶段；失败发生在投掷落区这一步。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 0.32,
+    "log_step": 149,
+    "evidence_zh": "观察：视频 0.24–0.56 s，铁饼脱离机器人右手后被抛至头顶上方，随后向画面左侧移动；视频 1.36–1.72 s，橙红色铁饼在左缘附近下降，背离画面右上方目标扇形。log step 149 官方重放判定首次落点在扇形外，距离仅 2.251 米，未投到规定落区。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 147 的最终生成脚本从初始持饼姿态对右肩俯仰关节施加恒定 -130 N·m 力矩并撤去该关节位置/速度增益，按固定时序打开右手；log step 154 确认该脚本生成的最终文件重复得到扇形外落点和 2.251 米距离，与视频 0.28–0.52 s 的偏向飞行一致。机器人已执行投掷，但这套摆臂与松手控制没有形成朝目标扇形的有效投射；证据不足以进一步区分接触设计、轨迹或反馈子类。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "没有状态日志。视频只有斜视场地视角，手指接触细节无法逐根辨认，首次触地点位于画面左边缘附近，精确距离与界外判定取自最终交付文件的官方重放和评分器字段；未报告 retouch_dv_m_s，不能从外观估算。缺少交付投掷的逐步接触力和关节跟踪数据，根因仅确定到控制大类。"
+ },
+ "summary_zh": "机器人从右手初始持饼姿态摆臂投出铁饼，但视频 0.28–0.52 s 可见铁饼背离目标扇形飞去；最终官方重放确认扇形外落地、距离 2.251 米，两项 DAG 节点均未达成。断点是铁饼落区达标，现象为位姿不准，证据支持摆臂和松手控制未形成合格投射；后续脚步也未完成后圈离圈站稳。无状态日志，精确落点和距离依赖官方重放，控制子类及细粒度手指接触尚不能确定。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "节点值（两节点均未达成）、断点（discus_landed_qualified，操作中）、现象与根因大类与视频和官方重放（扇形外、2.251 m、仅 release 阶段）相符；唯一需改的是证据中对铁饼飞行/落点画面的描述与帧不符。",
+    "n_issues": 1,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "两节点均未达成、断点（discus_landed_qualified，操作中）、位姿不准现象与控制大类根因，和视频及官方重放（扇形外、distance_m=2.251、仅 release 阶段）一致；log step 147/149/154 存在且引用属实（147 的 -130 N·m 肩俯仰力矩脚本、149/154 的重放结果）。第 1 轮争议的铁饼后段描述已改为区分观察与推断，不再有需改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:14:58Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--ugrcl8n/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--ugrcl8n/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--ugrcl8n/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--ugrcl8n/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b40af8ae00b30e92c1a030bf529032743bedd851d661b8507c5f603a3ab73498",
+   "video_sha256": "352d6524f390a768ecf17d23b8f7330fd6ba76fdddcff938575f22a1315aa098",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--uhxr9x9.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--uhxr9x9.json
new file mode 100644
index 0000000000000000000000000000000000000000..c11fa597cf896635f17f80b76dee7b56e01a62ee
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-privileged--uhxr9x9.json
@@ -0,0 +1,219 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-privileged--uhxr9x9",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 683,
+   "sim_steps": 683,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 7.44,
+   "bad_trajectory": 0,
+   "metric_distance_m": 16.267,
+   "metric_release_height_m": 2.087,
+   "metric_release_speed_m_s": 12.68,
+   "metric_release_spin_rad_s": 24.4,
+   "metric_release_tilt_deg": 71.7,
+   "metric_release_time_s": 1.118,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 124,
+   "agent_resets": 9839,
+   "agent_replays": 37,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 2.443,
+   "peak_processes": 20,
+   "peak_disk_gb": 0.899,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-privileged--uhxr9x9/replay.mp4",
+  "duration_s": 6.84,
+  "fps": 25.0,
+  "frames": 171,
+  "sha256": "8bd1349417b6d1cda7f0d3be0a0ccc1fe73c8a4160f66bf316b88318e805bf53"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 2,
+  "final": 2,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.12,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–1.12 s 橙红色铁饼随机器人右手摆动，视频 1.16 s 铁饼仍靠近右手，视频 1.20 s 已与手分离并飞向扇形方向；机器人双脚在圈内支撑投掷。视频 2.96–3.24 s 的画面只覆盖近处场地，远处首次落点不可见。"
+     },
+     {
+      "t": 3.12,
+      "log_step": 200,
+      "text_zh": "观察：最终生成器返回的原生裁判状态（log step 200）记录 landing 阶段在仿真 3.113 s 达成、distance_m=16.267、failed=None，随后 success=True；log step 201 验证再生成动作与已验证重放逐行相同。评分器字段 replay_success=1、deterministic=1、metric_distance_m=16.267，与该最终交付一致。"
+     },
+     {
+      "t": 3.12,
+      "log_step": 200,
+      "text_zh": "推断：log step 200 的交付轨迹为 683 控制步、仿真 6.83 s，即每步 0.01 s，与视频 6.84 s 的长度吻合；其 release 阶段仿真 1.196 s 对应视频 1.20 s 可见离手，exit 阶段仿真 4.956 s 对应视频 4.96–5.00 s 可见后侧脚越沿落地，支持仿真时钟与视频时钟近似同起点同速。故将该次有效首次落地锚定于视频约 3.12 s；达标依据是最终交付裁判记录及评分器成功结果，未用滑滚位置估计落点。"
+     },
+     {
+      "t": 1.0,
+      "log_step": null,
+      "text_zh": "推断：任务文本给定初始右手手指卷住饼沿，视频 0.00、0.60、1.00、1.08 s 中铁饼随右手转动并保持在手端，支持右手抓握后投出；画面分辨率不足以逐指辨认所有接触点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "右侧灵巧手持住橙红色铁饼并随摆臂投出；依据初始持握条件及视频 0.00–1.20 s 的随手运动与离手画面，具体手指接触点不能逐一分辨。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚接触圈内地面，腿和躯干承重并配合右臂转体投掷。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.83,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.96,
+      "log_step": 200,
+      "text_zh": "观察：视频 3.40–4.80 s 机器人向扇形反方向后退；视频 4.96–5.00 s 可见后侧脚越过灰色圈的后沿，随后继续后退。最终交付裁判记录（log step 200）在仿真 4.956 s 锁存 exit 阶段，与上述画面相符。"
+     },
+     {
+      "t": 6.8,
+      "log_step": 200,
+      "text_zh": "观察：视频 5.80–6.80 s 的逐帧画面显示机器人保持直立，双脚在后侧绿色地台小幅调整，没有倒地或手膝撑地；末帧视频 6.80 s 仍站立。log step 200 的最终交付原生裁判状态在仿真 6.83 s 返回 success=True、done=True，release、landing、exit 阶段齐全，评分器也报告 success=1、replay_success=1、fell=0。"
+     },
+     {
+      "t": 6.83,
+      "log_step": 200,
+      "text_zh": "推断：沿用已由视频 1.20 s 离手及视频 4.96–5.00 s 后圈触地核对的控制步时钟映射，最终成功事件仿真 6.83 s 对应视频约 6.83 s，故此时计入后圈离圈并站稳节点；不在仅锁存 exit 的视频约 4.96 s 提前计入。连续站稳窗口内的精确躯干方向余弦及骨盆速度由最终原生成功结果确认，录像不能精确量出。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人左右脚交替接触圈内地面及后侧圈外绿色地台，腿和躯干支撑后退离圈，再保持直立低速站立；视频 4.96–6.80 s 可见。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better",
+   "value": 16.267
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "本次交付完成两个节点：右手投出的铁饼在视频约 3.12 s 首次有效落地，裁判距离为 16.267 米；机器人随后从后圈离圈，至视频约 6.83 s 满足站稳验收，评分与确定性重放均成功。节点时间结合视频与最终交付的控制步时钟核对，未采用会话中其他试投的结果。无状态日志，首次落点出画，逐指接触、精确站稳阈值及脱手后擦碰冲量不能由录像独立量出，其中 retouch_dv_m_s 未报告，保留为 null。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，两节点均达成；log step 193/200 的原生裁判事件（release 1.196、landing 3.113、exit 4.956、success 6.83 仿真秒）与视频 1.2 s 离手、4.96 s 后脚越圈相符，控制步时钟映射有可见事件核对，时间、final、contact_actual 与无 failure 均无误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:13:53Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--uhxr9x9/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-privileged--uhxr9x9/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "861b2e6a8d4a231cc761463c42b707f310e60eb1a5edf2d59f426753de04ca0f",
+   "video_sha256": "8bd1349417b6d1cda7f0d3be0a0ccc1fe73c8a4160f66bf316b88318e805bf53",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--4gapg9s.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--4gapg9s.json
new file mode 100644
index 0000000000000000000000000000000000000000..6c23798bea53b7bad22475ecc63428fe42bbc2c4
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--4gapg9s.json
@@ -0,0 +1,236 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--4gapg9s",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 497,
+   "sim_steps": 2647,
+   "calls": 140,
+   "rows": 2429,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2913.1,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.932,
+   "peak_processes": 11,
+   "peak_disk_gb": 1.445,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--4gapg9s/replay.mp4",
+  "duration_s": 5.0,
+  "fps": 25.0,
+  "frames": 125,
+  "sha256": "20483243b68a3dd0d0c325ebbc481408d61a627132a24c6f2de875c28df9e3b7"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–1.60 s，机器人在圈内站立，右手持橙红色铁饼；视频 2.00–4.12 s，机器人转动躯干、将持饼右臂后摆再前挥，双脚持续支撑身体。"
+     },
+     {
+      "t": 4.24,
+      "log_step": 184,
+      "text_zh": "观察：视频 4.20–4.24 s，铁饼从右手附近分离；视频 4.36–4.96 s，铁饼向画面左侧、白色扇形之外飞去和下降。log step 184 的第6次试验返回裁判字段 OUTCOME: the discus landed outside the sector、failed、stages_reached=1/3（服务的原生投掷阶段计数，并非本 DAG 的两节点计数），没有有效落地。"
+     },
+     {
+      "t": 4.96,
+      "log_step": 189,
+      "text_zh": "观察：视频末帧 4.96 s，机器人仍直立在投掷圈内；log step 189 的服务状态为 episode=6、control_steps=497、done=true、reason=failed。log step 187 的后续重置被拒绝，故第6次试验仍是被评分的一局，前几次调试试验不计入节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "右侧灵巧手弯指扣住铁饼边缘、掌部承托，持饼后摆并挥臂投出；视频可见铁饼随手运动，log step 184 的 holding_right 在摆臂多数采样为1，支持实际持握。脱手后铁饼自由飞行。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在投掷圈内承重，腿和躯干支撑转体、摆臂及投后恢复姿态。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.96,
+      "log_step": 184,
+      "text_zh": "观察：视频 0.00–4.96 s，机器人只在圈内持饼、摆臂、投出并恢复姿态，没有向后跨出圈沿后站稳的过程，视频 4.96 s 双脚仍在灰色圈内。log step 184 裁判报告铁饼落在扇形外，前置有效落地未达成；log step 172 的脚本只有在落地后服务仍未结束时才执行向后离圈，故本局未执行该段。参考成功录像的后退离圈在其视频约 4.50–6.80 s 可见，本次无该行为。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 4.24,
+   "log_step": 184,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 4.24 s，机器人正在挥动右臂投饼，铁饼开始离手；视频 4.36–4.96 s，铁饼飞到白色扇形侧外。log step 184 的第6次试验由裁判以 the discus landed outside the sector 判负，投掷落区达标这一步未完成，尚未进入后圈离圈。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 4.24,
+    "log_step": 184,
+    "evidence_zh": "观察：视频 4.24–4.96 s，铁饼离开机器人右手后向白线扇形的侧外飞去，没有沿扇形内方向投出；log step 184 的本局裁判反馈为 the discus landed outside the sector。投掷的出手方向及落区不符合目标。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：本局摆臂与释放控制未使铁饼沿目标扇形投出，具体控制子类尚不能确定。视频 4.24–4.96 s 可见铁饼离手后向扇形侧外飞去，log step 184 的服务裁判反馈为 the discus landed outside the sector。log step 176 的脚本使用 agent 运动学模型预测的方位、仰角和速度触发张手；log step 184 设置 min_speed=8.0 m/s、force_rel_row=48，行35–37的部分预测方位进入目标±11度时，预测速度约6.66–7.15 m/s，未满足速度门槛；行48进入强制释放条件时预测方位已为106.2/116.6度。这些数值并非原生铁饼释放指标，且 holding_right 在行47为0、行48又为1，不能据此确认实际脱手由门槛延迟造成。log step 187 中 agent 自述其本地模型估算达15米需12–14 m/s，该估算亦未独立验证；即使按其模型，窗口内约7 m/s也未显示足以达标。缺少放宽门槛改善实际投掷的验证，无法在参数调试、接触设计等具体原因间定论，故仅标控制。"
+   }
+  ],
+  "gap_zh": "无状态日志；单个场地斜视视频不足以精确确定首次地面接触点、distance_m、短时复触及冲量，最终落区不合格由本局服务裁判反馈补足。run.json 的评分字段未报告 distance_m 和 retouch_dv_m_s，均记为null。手指接触细节分辨率有限，持握结合随手运动、初始持饼布局和本局 holding_right 读数判断；无法仅凭画面区分最终脱手中的滑移与主动张手各自的贡献，因此不另标抓取失效根因。 释放判据使用 agent 模型预测，缺少原生释放速度、方向及改动门槛后的对照验证，不能确认参数调试子类，也不能将 agent 自述的握力限制当作已证实的接触设计根因。"
+ },
+ "summary_zh": "第6次实时试验中，机器人在圈内右手持饼、后摆并投出，铁饼在视频约4.24 s离手后飞向扇形侧外，裁判以落区越界判负；两个节点均未完成，后圈离圈未启动。摆臂与释放控制未实现目标方向，但模型预测与实际脱手的关系、调整门槛的效果均未验证，根因仅标控制，因具体原因仍有推断而将置信度降为7。无状态日志，精确首次落点和复触冲量未报告，最终落区判断结合本局裁判反馈。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点值、断点、时钟、现象均与视频和 log step 184 一致，未发现错误。但根因“参数调试”只靠 agent 自己的运动学预测，且按该预测即使在瞄准窗口内释放，速度也仅约 7 m/s，远低于达标所需，故“只要门槛合适就能成功”的因果没有证据，参数调试（须已证实参数不当）未证实。",
+    "n_issues": 1,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点（均未达成）、断点（落区步骤，操作中）、现象（位姿不准）与降为控制的根因均与视频及 log step 184 裁判反馈一致，第1轮意见已落实，未发现新错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:17:54Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--4gapg9s/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--4gapg9s/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--4gapg9s/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--4gapg9s/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "2d62123b04dc869e200a12f77be58d95b7a95fd26b804ba9459bb1124da0b647",
+   "video_sha256": "20483243b68a3dd0d0c325ebbc481408d61a627132a24c6f2de875c28df9e3b7",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--cttuyqf.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--cttuyqf.json
new file mode 100644
index 0000000000000000000000000000000000000000..00e16bca8f9c91c5efa9ff2e4c2d37a45db7dbc0
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--cttuyqf.json
@@ -0,0 +1,210 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--cttuyqf",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 88,
+   "sim_steps": 405,
+   "calls": 45,
+   "rows": 405,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 6220.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 4.772,
+   "peak_processes": 13,
+   "peak_disk_gb": 4.643,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--cttuyqf/replay.mp4",
+  "duration_s": 0.92,
+  "fps": 25.0,
+  "frames": 23,
+  "sha256": "7b53d97630abfcec815fc1ddb43cc3a0588e7c26ec02f981b0a65a1463dd061e"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.44,
+      "log_step": 133,
+      "text_zh": "观察：已检查本次视频全部23帧（视频0.00–0.88 s）；机器人在圈内直立，右手附近的橙红色铁饼随右臂做小幅预摆，始终未见铁饼脱手飞向扇形或触地。"
+     },
+     {
+      "t": 0.88,
+      "log_step": 133,
+      "text_zh": "观察：视频0.80–0.88 s铁饼仍紧邻右手，机器人没有完成投出；log step 133明确重置至episode 6，实时服务在最后一段动作返回done=True、reason=failed，原生裁判结果为“the discus was touched by something other than the throwing hand”，stages_reached为0。这与本次短录像的未投出终态一致；此前其他episode的落地记录不计入本次进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频0.00–0.88 s右手托持并以卷曲手指扣住橙红色铁饼边缘，随臂预摆；log step 133的实时持握读数hold始终为1.0，支持这是持握而非仅平掌承托。裁判另确认存在非投掷手部位触饼，但具体接触连杆在画面中无法辨明。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–0.88 s机器人的双脚在投掷圈内接地，腿和躯干支撑持饼预摆，全程保持直立。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.88,
+      "log_step": 133,
+      "text_zh": "观察：视频0.00–0.88 s机器人始终位于灰色投掷圈内，没有向后跨出圈沿；视频0.88 s仍持饼站在圈内。log step 133的最终episode在持饼预摆时被裁判终止，未执行后退离圈；有效落地这一前置也未达到。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 0.84,
+   "log_step": 133,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约0.80–0.88 s机器人正在圈内持饼预摆，铁饼仍在右手附近，尚未进入飞行；log step 133的最终episode 6被原生裁判以“the discus was touched by something other than the throwing hand”终止，阶段数为0。视频0.84 s作为这次预摆失败的近似导航锚点，非精确接触时刻。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "约束",
+    "item": "违反约束",
+    "t": 0.84,
+    "log_step": 133,
+    "evidence_zh": "观察：log step 133中最终episode 6的实时服务输出原生裁判原因“the discus was touched by something other than the throwing hand”，即触发非右手触饼规则；视频0.80–0.88 s机器人仍在持饼预摆且直立，铁饼未飞出。这里没有足以证明碰撞阻挡、掉饼或失衡的画面，故按已确认的禁触规则违规标注。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 129的动作参数在持握阶段加入右腕偏航预摆rwy_w=0.9；log step 131、133只改肩肘预摆而沿用此腕部设置，log step 133最终episode仍在持握读数1.0时触发非投掷手触饼。结合视频0.44–0.88 s铁饼随右手转动、未脱手且机器人直立，失败指向预摆时铁饼与本体的接触几何和间隙设计未能维持合法接触，而非落点瞄准或平衡。agent在log step 134将其解释为铁饼后缘扫到腕部连杆；具体连杆及单一关节的因果尚未核实，替代预摆方案也未在本次最终episode中验证。"
+   }
+  ],
+  "gap_zh": "没有状态日志或原生接触对记录，录像仅为640×360场地斜视，放大后仍不能分辨触饼的具体非投掷手连杆及精确接触时刻。裁判对禁触事件的报告明确，但agent在log step 134提出的“腕偏航使铁饼边缘碰腕部连杆”仍是其诊断，不能据此判定具体腕部构件超出合法右手范围；根因只归到预摆接触几何。评分器未报告distance_m或retouch_dv_m_s，两个原生指标均留null。"
+ },
+ "summary_zh": "本次评分采用log step 133重置后的episode 6；视频0.00–0.88 s机器人仅在圈内持饼预摆，铁饼未投出，两个目标节点最终均未达到（0/2）。投掷步骤在视频约0.84 s附近因原生裁判确认的非右手触饼而终止，证据支持预摆接触几何设计失当。缺少接触对和近景，无法核实agent所称的具体腕部连杆及精确碰触时刻。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频仅23帧（0.92 s），机器人全程在圈内持饼预摆，铁饼未投出，两节点均未达成；断点、约束违反现象与log step 133（id）的裁判结果“touched by something other than the throwing hand”、stages_reached 0一致，根因已标明是推断，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:17:06Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--cttuyqf/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--cttuyqf/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "24965e2f0753a886a85df11e14569950b292aac63832b9d5448bb98ab6a765f4",
+   "video_sha256": "7b53d97630abfcec815fc1ddb43cc3a0588e7c26ec02f981b0a65a1463dd061e",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--kjvqvxd.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--kjvqvxd.json
new file mode 100644
index 0000000000000000000000000000000000000000..18d5325a40e88da53497b74ca68c1959c2feaba0
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--kjvqvxd.json
@@ -0,0 +1,243 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--kjvqvxd",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 123,
+   "sim_steps": 1097,
+   "calls": 88,
+   "rows": 77,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2334.0,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--kjvqvxd/replay.mp4",
+  "duration_s": 1.24,
+  "fps": 25.0,
+  "frames": 31,
+  "sha256": "4df9d68448d519123d8c5b52c85212576bb40feb414c6a42462cd4e722763389"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 87,
+      "text_zh": "观察：视频 0.00 s 橙红色铁饼在机器人右手中；视频 0.00–0.76 s 机器人把持饼右臂向下、向后预摆。log step 87 明确重置为 episode 6，该次试验是评分所用的最后一次实时试验。"
+     },
+     {
+      "t": 0.84,
+      "log_step": 87,
+      "text_zh": "观察：逐帧检查视频 0.64–1.20 s，铁饼在视频约 0.84 s 已与右手分离，随后在机器人身旁下落，没有飞向远处扇形；视频 1.20 s 铁饼已降到圆圈后侧近地面。log step 87 的该次试验反馈在仿真 0.65 s 为 hold=1，在仿真 0.80 s 为 hold=0；控制脚本仍在预摆，尚未进入计划的挥臂及开手循环。"
+     },
+     {
+      "t": 1.2,
+      "log_step": 88,
+      "text_zh": "观察：log step 88 的机器人服务报告 episode=6、control_steps=123、done=True、outcome=\"the discus landed outside the sector\"、stages_reached=1/3。视频末段铁饼在机器人近旁落下，与该次试验的界外落地判负相符；不是有效落区达标。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频 0.00 s 右手手指围住橙红色铁饼边缘，机器人以右手持饼预摆；随后铁饼从右手滑出。log step 87 的持握反馈先为1，后为0，支持最初确有持握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.20 s 机器人双脚在灰色投掷圈内支撑身体，躯干随右臂预摆小幅转动，未见跌倒。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 88,
+      "text_zh": "观察：视频 0.00–1.20 s 机器人双脚始终在投掷圈内，没有向后半圈外迈出；末帧仍站在圈内，铁饼在身旁近地面。log step 88 的该次试验已因界外落地结束。"
+     },
+     {
+      "t": 1.2,
+      "log_step": 86,
+      "text_zh": "推断：有效落地前置节点未达成，后圈离圈站稳不能成立。log step 86 的控制脚本把后退离圈安排在挥臂及落地等待之后；log step 87 显示脚本在预摆丢饼后尝试返回初始姿态，服务已结束该试验，离圈分支未执行。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 0.8,
+   "log_step": 87,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 0.80–0.88 s，机器人预摆右臂时橙红色铁饼脱离右手，并在视频 0.96–1.20 s 向圈后侧近地面下落；未完成计划的前向投掷。log step 87 显示预摆后的 holding_right 已丢失，脚本进入返回初始姿态分支；log step 88 的服务最终判定铁饼落在扇形外，此步未修复。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 0.8,
+    "log_step": 87,
+    "evidence_zh": "观察：视频 0.00 s 铁饼随右手一起运动，视频约 0.84 s 铁饼与右手出现分离，视频 0.96–1.20 s 右手留在较高处而铁饼持续下落。log step 87 的该次试验反馈从仿真 0.65 s 的 hold=1 变为仿真 0.80 s 的 hold=0；丢饼发生在预摆阶段，早于脚本计划的开手释放。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "evidence_zh": "推断：预摆时的手掌朝向与手指承载布局未能维持已有持握。视频 0.00–0.76 s 铁饼从近水平随右手转为明显倾斜，随后在视频约 0.84 s 滑离；log step 86 的脚本在预摆阶段保持握紧命令，仅在后续挥臂循环才计划开手，而 log step 87 在预摆结束前已报告 hold=0。log step 85 的局部模型检查仅以掌面朝上分量判断姿态，log step 89 中 agent 自述该模型预测可持握但实际丢饼；该模型的具体倾角和承载裕量没有独立状态记录验证，不能据此断言手指力不足或某个数值参数错误。",
+    "source_zh": "日志 / 视频",
+    "note_zh": "该预摆姿态下的可行替代握法或承载布局未在本次试验中验证；成功参考展示另一条成功投掷轨迹，但未提供其逐指接触及受力。"
+   }
+  ],
+  "gap_zh": "无状态日志及逐指接触、接触力记录，不能精确定位最后一次持握或区分具体滑移受力机制；脱手视频锚点约有0.1秒不确定性。评分器未报告 distance_m 与 retouch_dv_m_s，故两项原生指标为 null；界外落地结论由该次试验的服务裁判结果和近处下落画面共同支持，不从画面估算距离。log step 87 的 EpisodeOver 异常发生在服务已经判负之后，不作为导致丢饼的根因。"
+ },
+ "summary_zh": "评分所用的是最后重置后的第6次试验：机器人右手持饼预摆时丢失持握，铁饼在身旁落下，服务判为扇形外落地，两个节点均未达成（0/2）。断点为“铁饼落区达标”的操作中，现象为没保持住，预摆姿态下的抓取和接触设计未能保持铁饼；机器人未开始后圈离圈。已逐帧检查完整评分视频并对照成功参考；没有状态及逐指受力日志，精确脱手时刻和具体力学机制仍有限制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点节点、没保持住现象均成立；但脱手时刻错：逐帧显示铁饼在视频约0.16–0.32 s已离开右手并下落，落至地面约0.5–0.7 s，标签的0.84 s（及“0.96–1.20 s 才下落”）晚了约0.5 s。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "两节点未达成、断点在 discus_landed_qualified 操作中、现象没保持住均有画面与服务读数支持；第1轮提出的脱手时刻问题经逐帧复核不成立（视频约0.8 s前铁饼仍紧贴右手/大腿旁，0.88 s起明显分离），标签的0.8 s锚点合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:16:09Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
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+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--kjvqvxd/03_label"
+   },
+   {
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+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--kjvqvxd/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--kjvqvxd/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--kjvqvxd/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "2c09b109ada426aa39ea68ef52eb97ddb279954d7f6adf90ea8e4d10386d16d1",
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+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--nhu8nbc.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--nhu8nbc.json
new file mode 100644
index 0000000000000000000000000000000000000000..7cb50bd7bd07d2390306dfca9cac9e92cc443097
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--nhu8nbc.json
@@ -0,0 +1,211 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--nhu8nbc",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
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+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--nhu8nbc/replay.mp4",
+  "duration_s": 1.2,
+  "fps": 25.0,
+  "frames": 30,
+  "sha256": "84147243445e6f19867f3dd7ecd75e4ff5ea48c671a55fe2d3e216fa24a9d1c7"
+ },
+ "state": null,
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+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.64 s，机器人右手持橙红色铁饼随右臂后摆，双脚在投掷圈内支撑；视频 0.72–0.80 s 铁饼与右手分离，随后向画面左下方圈旁下落，没有向白线之间的远处扇形飞行。"
+     },
+     {
+      "t": 1.16,
+      "log_step": 148,
+      "text_zh": "观察：视频 1.00–1.16 s，铁饼在圈旁绿色地面上方继续下降；log step 148 的最后一次 reset 后，服务在第二段动作返回 done=True、reason=failed、outcome=\"the discus landed outside the sector\"。log step 150 服务状态为 episode=6、control_steps=116、resets_left=0，与评分字段 n_actions=116 及此短视频一致，故只标最后一次实时试验，界外首次落地未达标。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频 0.00–0.64 s，右侧五指手持饼随臂摆动，随后铁饼从手中脱离；log step 148 最后试验的第一段结束时 holding_right=0，log step 150 对该段本体传感记录的检查显示此前有持握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.16 s，机器人双脚在圈内承重，腿和躯干支撑右臂摆动与身体转向。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": 148,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部帧，机器人始终在灰色投掷圈内，末帧仍在摆臂转身，未向后侧绿色地台迈出；对照成功参照视频 5.00–6.50 s 可见的后退离圈过程，本次没有该变化。log step 148 的服务已因铁饼落在扇形外终止，脚本在执行后退段前返回；有效落地前置和后圈离圈站稳均未达到。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 0.76,
+   "log_step": 148,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.64 s 铁饼仍紧邻右手，视频 0.72–0.80 s 在摆臂过程中从右手下方分离并向圈旁下落，未恢复持饼或投出有效远投；log step 148 服务最终判定 \"the discus landed outside the sector\"。失败发生在铁饼落区达标步骤的试摆持饼过程中，导航锚点取视频 0.76 s。"
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 0.76,
+    "log_step": 148,
+    "evidence_zh": "观察：视频 0.00–0.64 s 铁饼随机器人右手运动，视频 0.72–0.80 s 铁饼从右手下方脱离，视频 0.84–1.16 s 继续向圈旁地面下降。log step 148 将第一段动作称为用于校准的 swing A，期望留饼供第二段投掷，却在该段结束读到 holding_right=0；log step 150 对最后试验的记录检查显示第一段有持握、第二段全部无持握，支持先握住后丢失。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 0.76,
+    "log_step": 148,
+    "source_zh": "日志",
+    "evidence_zh": "推断：持饼与腕臂摆动的协调未维持住接触。log step 142 的控制库设计是在预摆期间固定腕姿、摆动起始快速转腕形成承载姿态；log step 148 最后试验仍调用该库，以 30% 速率执行校准摆动，第一段结束已无持握，脚本随后执行第二段空手投掷。视频 0.72–0.80 s 的离手下落与这一控制失效相符；不能仅据 agent 在 log step 151、155 的事后力学估算细分为某个参数或握持几何错误。"
+   }
+  ],
+  "gap_zh": "本次没有状态日志，单一斜视画面的手部像素不足以辨清逐指接触、滑脱受力和精确脱手时刻；控制根因保留在上层，不能独立验证 agent 在 log step 151、155 所称预摆加速度超出承载能力的具体解释。run.json 的评分字段未报告 distance_m 或 retouch_dv_m_s，均保留 null；界外落地由最后实时试验的服务裁判结果及圈旁下落画面共同确认。",
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  }
+ },
+ "summary_zh": "最后一次实时试验中，机器人右手原先持饼，但在视频约 0.72–0.80 s 的试摆过程中失去持握，铁饼落向圈旁，服务裁判判定落在扇形外，铁饼落区达标与后圈离圈站稳均未完成（0/2）。断点为铁饼落区达标，现象为没保持住，根因为持饼与腕臂摆动协调的控制失效。没有状态日志及逐指接触力记录，无法核实 agent 的具体加速度解释，两个原生指标也未报告。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "视频 1.2 s 与最后一次实时试验（control_steps=116）对应；0.0–0.6 s 铁饼在右手中，0.72–0.80 s 起脱手下落到圈旁，两节点均未达成（0/2）；断点、没保持住、控制根因均有 proprio 读数（hold-sum 22/31 行，末行 holding_right=0）和画面支持，未发现需改动之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:13:28Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--nhu8nbc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--nhu8nbc/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "046affd68fe813bac40e9d4bc12efffb5ad5def08b355ff72b0aed5a2e83e3ce",
+   "video_sha256": "84147243445e6f19867f3dd7ecd75e4ff5ea48c671a55fe2d3e216fa24a9d1c7",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--pemlwm5.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--pemlwm5.json
new file mode 100644
index 0000000000000000000000000000000000000000..7be3a9d56137bf4588810643b4b0822527b333b8
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--pemlwm5.json
@@ -0,0 +1,201 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--pemlwm5",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 0,
+   "sim_steps": 0,
+   "calls": 2,
+   "rows": 0,
+   "resets": 0,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3087.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 4,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.007,
+   "peak_processes": 7,
+   "peak_disk_gb": 0.36,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--pemlwm5/replay.mp4",
+  "duration_s": 0.04,
+  "fps": 25.0,
+  "frames": 1,
+  "sha256": "5d9c1503eb2984af754c58117202641d12a476911fe2c89c8ad2ffe0fad0599d"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 86,
+      "text_zh": "观察：本次视频仅有视频 0.00 s 一帧，机器人站在圈内，橙红色铁饼仍位于右手处，未见脱手、飞行或首次落地；log step 86 的实时机器人服务状态为 rows=0、control_steps=0、done=false，评分记录亦为 n_actions=0、sim_steps=0。"
+     },
+     {
+      "t": null,
+      "log_step": 104,
+      "text_zh": "观察：log step 104 只报告 agent 本地建立的 MuJoCo 投掷模型加载成功；这不是实时评分试验的投掷结果，不能用于认定落区达标。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "不适用",
+      "how": "不适用",
+      "note_zh": "观察：评分记录 n_actions=0、rows=0；会话被过滤器中断前未交付实时控制轨迹，初始右手持饼不作为已执行投掷的接触。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 86,
+      "text_zh": "观察：视频 0.00 s 的唯一帧中机器人双脚仍在灰色投掷圈内；log step 86 的实时服务状态为 control_steps=0，未发生后半圈离圈。"
+     },
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "推断：本次没有投出铁饼及有效落地，后圈离圈站稳的前置事件也未发生；圈内初始直立不满足该终态节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "不适用",
+      "how": "不适用",
+      "note_zh": "观察：评分记录 n_actions=0、sim_steps=0；无交付的实时离圈动作轨迹。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "unknown",
+   "t": null,
+   "log_step": 105,
+   "where": "首步前",
+   "evidence_zh": "观察：log step 105 的末条消息为“This request was blocked by Gemini's filters”；此前 log step 104 仅成功加载 agent 的本地模型，log step 86 的实时服务仍为 control_steps=0、done=false，最终评分记录 n_actions=0、sim_steps=0。提供方过滤器在实时动作交付前中断会话，未出现可定位到某个任务步骤的物理失败。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [],
+  "root_causes": [],
+  "gap_zh": "观察：log step 105 明确记录提供方过滤器拦截；本次只有视频 0.00 s 的初始帧（文件时长 0.04 s），没有后续动作或状态日志，distance_m 与 retouch_dv_m_s 均未报告。推断：这是评分结果固定前的外因中断（CASES.md FAIL-5），应重测并排除出 agent 失败分析；保留目录 success=0，但不标“没尝试”或推断控制、规划根因。agent 的本地 MuJoCo 调试不代表评分试验；中断所在的 log step 105 无对应视频时刻，故 breakpoint.t=null。"
+ },
+ "summary_zh": "本次评分视频只有视频 0.00 s 的圈内持饼初始帧，实时控制动作及仿真步数均为 0，铁饼落区达标和后圈离圈站稳均未完成，最终为 0/2。log step 105 记录 Gemini 过滤器拦截，发生在动作交付前，按外因中断处理：保留目录 success=0，断点为 unknown／首步前，失败现象与根因留空，不计为 agent 失败。缺少后续运动证据，日志中的本地模型试验及 oracle 的成功动作均不计入本次进度。",
+ "conf": 10,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 9,
+    "summary_zh": "评分视频仅一帧初始帧，n_actions=0；log step 105 为 Gemini 过滤器拦截，动作交付前被外因中断。标注（节点均未达成、断点 unknown/首步前、现象与根因为空并附 gap_zh）符合 FAIL-5，未发现需修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:09Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--pemlwm5/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--pemlwm5/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e4f975400df3926400e42d0d4ad11cc4afb68d73dc0a25530187b6831e718345",
+   "video_sha256": "5d9c1503eb2984af754c58117202641d12a476911fe2c89c8ad2ffe0fad0599d",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--soz6cpv.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--soz6cpv.json
new file mode 100644
index 0000000000000000000000000000000000000000..636ac4603f6f5b27eae8f6019149e638dac45659
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--soz6cpv.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--soz6cpv",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 1613,
+   "sim_steps": 3565,
+   "calls": 1162,
+   "rows": 2472,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 6757.0,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--soz6cpv/replay.mp4",
+  "duration_s": 16.16,
+  "fps": 25.0,
+  "frames": 404,
+  "sha256": "e8d5f3d00ccc980325c4b62df00e3eaf08c37fa6b8cade71a59c748c3c35e27c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 8.8,
+      "log_step": 186,
+      "text_zh": "观察：视频 7.8–9.4 s，机器人右手持续携带橙红色铁饼转动到身体侧后方，双脚在圈内支撑，正在准备投掷。"
+     },
+     {
+      "t": 15.68,
+      "log_step": 242,
+      "text_zh": "推断：这是最后一次实时试验 episode 6（log step 163 开始，log step 254 结束），前五次试验不计入本视频。log step 221 给出控制周期 0.01 s，log step 242 的 control_steps=1568 对应视频约 15.68 s；已与视频 15.64–15.84 s 的摆臂、铁饼离手下落核对，末次 1613 控制步也与视频约 16.16 s 时长相符。"
+     },
+     {
+      "t": 16.12,
+      "log_step": 254,
+      "text_zh": "观察：视频 15.80–16.12 s，铁饼离开右手向近处绿色地台下落，末帧位于灰色投掷圈的画面左下侧，没有朝前方白线扇形远投。log step 254 中实时机器人服务报告 episode=6、done=true、outcome=\"the discus landed outside the sector\"、stages_reached=1/3；有效首次落地节点未达到。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "右手手指与掌部持住橙红色铁饼，随右臂转动、摆臂；视频 7.8–9.4 s 铁饼随手移动，log step 240、242 的持握读数先为 1，随后变为 0，视频 15.80–16.12 s 可见铁饼脱离并下落。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚接触投掷圈内地面，腿与躯干支撑持饼、转体和摆臂；视频 15.00–16.12 s 仍直立站在圈内。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 16.12,
+      "log_step": 254,
+      "text_zh": "观察：视频全程粗看及视频 15.00–16.12 s 逐帧检查，机器人始终在灰色投掷圈内，没有向后侧绿色地台迈出的离圈动作；末帧仍直立留在圈内。log step 254 的服务以扇形外落地终止试验，前置有效落地未达成，故后圈离圈站稳节点未达到。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 15.7,
+   "log_step": 242,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 15.64–15.84 s，机器人右臂开始加速摆动，铁饼随即脱离并向下掉落，视频 16.12 s 已落到圈旁近处；机器人没有修复这次投掷。log step 242 的最后一次实时试验持握读数从 1 降至 0，log step 254 的服务随后报告铁饼落在扇形外，试验失败。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 15.7,
+    "log_step": 242,
+    "evidence_zh": "观察：视频 15.60 s 铁饼仍在右手处，视频 15.80–15.92 s 铁饼离手下落而手臂留在上方，视频 16.12 s 铁饼到达近处地台。log step 242 中实时持握读数在摆臂相对时间 0.16 s 仍为 1、0.18 s 变为 0，log step 245、249、252 的后续读数一直为 0；原有持握失去后未恢复。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 231 的实际投掷脚本在摆臂相对时间达到参数 x[8]-0.02 后才命令张手；log step 238 选定 x[8]=0.37468773，故计划张手约在摆臂相对时间 0.355 s。log step 242 的实时读数却在摆臂相对时间 0.18 s 已失去持握，早于计划张手；随后调整手腕、重新闭手仍未恢复（log step 244–252），视频 15.80–16.12 s 也显示铁饼直接下落。这支持摆臂过程中未能维持持饼接触的控制问题，不能据此确定具体控制子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志；视频只有场地斜视画面，手指接触与接触力无法精确辨认，无法进一步区分握持几何、负载参数或运动跟踪的作用。首次落点在扇形外由末次实时服务判定与画面共同支持，但 reward 未报告 distance_m 或 retouch_dv_m_s，故两项原生指标填 null。"
+ },
+ "summary_zh": "本次评分对应最后一次实时试验 episode 6：机器人持饼转体并摆臂，但铁饼在计划张手前失去持握，视频约 15.8–16.12 s 掉至圈旁；实时服务判定首次落地在扇形外。铁饼落区达标与后圈离圈站稳均未达到，最终进度为 0/2，断点是投掷中的持握丢失，根因仅归入控制。没有状态日志及接触力记录，无法进一步细分控制原因或量出首次落点距离。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标注与视频和日志一致：末次实时试验（episode 6）中铁饼在摆臂中提前脱手并掉在圈旁，两个节点未达到，断点、「没保持住」和控制根因均有证据支持。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:32Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--soz6cpv/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--soz6cpv/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "dc3d7670cc96936370babe035e5e11a3e5a86f5c8380500daa1f81281dab713e",
+   "video_sha256": "e8d5f3d00ccc980325c4b62df00e3eaf08c37fa6b8cade71a59c748c3c35e27c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--vfwgwja.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--vfwgwja.json
new file mode 100644
index 0000000000000000000000000000000000000000..ab64a4454fe39a2b88b5c2d25f057faa3eda25e1
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--vfwgwja.json
@@ -0,0 +1,209 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--vfwgwja",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 267,
+   "sim_steps": 1708,
+   "calls": 16,
+   "rows": 1658,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 580.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.188,
+   "peak_processes": 6,
+   "peak_disk_gb": 0.283,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--vfwgwja/replay.mp4",
+  "duration_s": 2.68,
+  "fps": 25.0,
+  "frames": 67,
+  "sha256": "da140beca494a0c264d3f3104dbd86fd32466bb7c028a011040025c4a1280b62"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 114,
+      "text_zh": "观察：log step 114 将服务重置至第6次试验，log step 115 从该试验的 control_steps=0 开始执行；视频0.00–1.84 s 中机器人在圈内持橙红色铁饼转腰蓄力。此前各次试验不是本段评分录像。"
+     },
+     {
+      "t": 2.08,
+      "log_step": 115,
+      "text_zh": "观察：视频2.08 s 铁饼已与机器人的右手分离，向扇形方向飞行；视频2.24–2.64 s 机器人持续向后倾倒，视频2.64 s 铁饼仍高于地面，与其地面阴影分离，尚未首次触地。log step 115 的机器人服务结果为 outcome=fell、stages_reached=1 of 3，未完成落地阶段。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：右手手掌与弯曲手指持住橙红色铁饼，随转腰和摆臂携带，随后脱手。依据视频0.00–1.84 s 铁饼随右手移动、视频2.08 s 已分离，以及log step 10 的固定初态说明（掌托、指尖扣住饼缘）；不将左臂摆动当作左手触饼。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–2.08 s 机器人双脚在投掷圈内接地，腿和躯干支撑持饼、转腰及投掷；视频2.24–2.64 s 支撑失稳，机器人向后倒下。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.64,
+      "log_step": 115,
+      "text_zh": "观察：视频全段0.00–2.64 s 未出现有效落地后向后圈迈出并站稳的动作，末帧机器人已后仰倒下。log step 115 显示第6次试验在首个投掷动作块内即因 fell 终止；log step 113 的后退离圈动作块位于该终止返回之后，没有执行。成功参考视频3.60–6.80 s 可见机器人向圆圈后侧行进并保持直立，本段录像未出现对应动作。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 2.3,
+   "log_step": 115,
+   "where": "操作中",
+   "evidence_zh": "观察：视频2.24–2.64 s，机器人在投出铁饼后的动作中向后倾倒，骨盆降低、躯干接近地面；铁饼仍在飞行，落地目标尚未达到。log step 115 的第6次实时试验在首个投掷动作块的267个控制步后报告 fell，仅到脱手阶段，未进入后退离圈动作块。推断：断点属于铁饼落区达标步骤，而非尚未开始的离圈步骤。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 2.3,
+    "log_step": 115,
+    "evidence_zh": "观察：视频2.08 s 机器人投出铁饼后已后仰；视频2.24–2.64 s 后仰角继续扩大、身体降低并向圈后侧倒下，未恢复站立。log step 115 的机器人服务明确报告 outcome=fell 并结束本次试验。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：投掷及其后的全身稳定控制未能维持支撑。log step 113 的实际执行脚本在stand模式下以固定关键姿态生成转腰摆臂，并用左臂反向摆动补偿；log step 115 执行此版本后报告fell。视频2.08–2.64 s 中铁饼已投出而机器人持续向后倾倒，说明该次实际运动未保持全身稳定；不足以进一步确定是轨迹设计还是底层反馈问题。"
+   }
+  ],
+  "gap_zh": "没有状态日志，无法核验接触对、投掷期间的力矩及支撑裕量，控制根因不细分。录像在首次落地前终止，评分字段未报告distance_m或retouch_dv_m_s，不能外推最终落点、距离或擦碰冲量；log step 120 对发射速度及反作用力的解释仅为agent自述，不作为实测结论。"
+ },
+ "summary_zh": "评分轨迹是log step 114重置后的第6次试验：机器人在圈内右手持饼蓄力，并于视频约2.08 s前投出；铁饼尚未首次落地，两个节点均未完成（0/2）。机器人在视频约2.3 s持续向后失衡，服务以fell终止试验，断在铁饼落区达标的操作中，根因归为控制。无状态日志和原生落点指标，无法细分失稳机制或判断终止后的飞行结果。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标注与视频和日志一致：评分段为第6次试验，视频2.08 s铁饼脱手，之后机器人后倒，铁饼未落地；两节点均未达成，断点、平衡现象与控制根因（已声明无法细分）均有证据支持。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:10:05Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--vfwgwja/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--vfwgwja/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f02ef0d5457248308f2a0e18a6c5297b09126a4bb08dea39d9e4fefae8c5ffac",
+   "video_sha256": "da140beca494a0c264d3f3104dbd86fd32466bb7c028a011040025c4a1280b62",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--zfzysxx.json b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--zfzysxx.json
new file mode 100644
index 0000000000000000000000000000000000000000..42fb7b2e8ae9eeee916b503152921f6393a3451e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/discus/trajectories/embodied-olympics-fun-discus-i00-standard--zfzysxx.json
@@ -0,0 +1,219 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-discus-i00-standard--zfzysxx",
+ "taskKey": "embodied-olympics-fun/discus",
+ "dag_sha256": "ffb63c003bdbc581b50872ffe890e6ce579309876e24b407597d79050cb48e95",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 290,
+   "sim_steps": 1427,
+   "calls": 45,
+   "rows": 1218,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 625.1,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 3,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.329,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.835,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-discus-i00-standard--zfzysxx/replay.mp4",
+  "duration_s": 2.92,
+  "fps": 25.0,
+  "frames": 73,
+  "sha256": "b3ee806306a28174285c87a75371616906f7952bb9163404a6a87912f6948499"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "discus_landed_qualified": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–2.08 s，橙红色铁饼随机器人右手移动；视频 2.12–2.16 s，铁饼与右手分离并向圈前方飞出。"
+     },
+     {
+      "t": 2.88,
+      "log_step": null,
+      "text_zh": "观察：视频 2.60–2.88 s，铁饼下降到灰色投掷圈紧邻的绿色地台，视频 2.88 s 铁饼与其地面阴影汇合；落点在通向远处的两条白色扇形线所围区域之外，未飞入远处落区。"
+     },
+     {
+      "t": 2.88,
+      "log_step": 69,
+      "text_zh": "推断：视频 2.88 s 所见圈旁首次落地不可能达到距圈内沿至少 15 米的条件，因此本节点未达到；agent 在 log step 64、69 也自述裁判判为“the discus landed outside the sector”，该自述仅作辅助，未当作独立裁判读数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "推断：视频 0.00–2.08 s 铁饼贴随右手运动，结合任务初态说明手指卷住铁饼边缘，右手持饼摆臂；视频 2.12–2.16 s 松开后铁饼独立飞行。画面分辨率不足以分辨各手指接触点。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.88 s 机器人双脚在投掷圈内接地，腿和躯干支撑转体、摆臂与收臂，未跌倒。"
+     }
+    ]
+   },
+   "rear_exit_stood": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.88,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–2.88 s 机器人始终在灰色圈内，投掷后原地收臂，未向后半圈圈沿或圈外迈出；视频末尾仍直立于圈内。"
+     },
+     {
+      "t": 2.88,
+      "log_step": null,
+      "text_zh": "推断：视频 2.88 s 首次落地不合格，且全过程未出现离圈动作，未满足有效落地后的后圈离圈及站稳验收。成功参考视频约 4.8–6.6 s 可见机器人向后跨出灰色圈的动作，本次视频没有这一变化。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 15.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "retouch_dv_m_s",
+   "unit": "m/s",
+   "threshold": 0.5,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "discus_landed_qualified",
+   "t": 2.88,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.12–2.16 s 机器人右手将铁饼释放，视频 2.60–2.88 s 铁饼下降并在投掷圈旁绿色地台首次触地，没有进入远处扇形落区；机器人仍在圈内，投掷达标这一步未完成。"
+  },
+  "unmet": {
+   "discus_landed_qualified": false,
+   "rear_exit_stood": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 2.88,
+    "log_step": null,
+    "evidence_zh": "观察：视频 2.12–2.88 s 铁饼脱手后仅作短距离飞行，首次落在圈旁绿色地台，偏离两条白色边线之间的目标落区；这是已实施投掷的落点偏差。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 55 的最后一次重置后，agent 脚本依次下发转腰蓄力、右肩预加速、摆臂并开手命令，log step 56–57 下发收臂命令；视频 1.00–2.16 s 可见对应的转体、右手摆动与脱手，但视频 2.88 s 铁饼仅落到圈旁。脚本实施了任务所需的投掷方向与阶段，实际投掷运动未产生到达远处落区的飞行，支持归于控制；缺少释放速度和关节跟踪读数，不能确定具体控制子类。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；inputs/run.json 中最后一次试验的服务调用输出文本为空，缺少独立的裁判阶段、distance_m、retouch_dv_m_s、释放速度及接触力记录。斜视视频足以判定圈旁落地与未离圈，但无法精确量出首次落点距离、各手指接触及释放动力学，因此原生指标填 null，控制根因不细分。"
+ },
+ "summary_zh": "评分采用最后一次实时试验（log step 55 重置后），此前试验不计入本次进度；机器人完成右手摆臂脱手，但视频 2.88 s 铁饼首次落在圈旁绿色地台，铁饼落区达标和后圈离圈站稳均未完成，最终为 0/2。断点是铁饼落区达标，表现为近距离偏区落地，结合投掷命令与画面推断为控制问题。缺少最终试验的裁判数值、释放速度及接触日志，不能进一步确定控制子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频 2.88 s 铁饼落在圈旁绿色地台、未进扇形，两节点均未达成，断点、现象（位姿不准）与停在“控制”的根因均有帧和 log 支持；未发现需要修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:11:18Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--zfzysxx/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-discus-i00-standard--zfzysxx/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e4abc3e62b7181a179e6a8263d8b3d106e4b9c052ea4b7ff669fa17f2cd9a625",
+   "video_sha256": "b3ee806306a28174285c87a75371616906f7952bb9163404a6a87912f6948499",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--2tvslbf.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--2tvslbf.json
new file mode 100644
index 0000000000000000000000000000000000000000..7036fc14707edd3da125532a4dfc660fb7697836
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--2tvslbf.json
@@ -0,0 +1,173 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-privileged--2tvslbf",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 113,
+   "sim_steps": 113,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 3.25,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 2.772,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 102,
+   "agent_resets": 17278,
+   "agent_replays": 24,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.903,
+   "peak_processes": 18,
+   "peak_disk_gb": 0.851,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-privileged--2tvslbf/replay.mp4",
+  "duration_s": 1.16,
+  "fps": 25.0,
+  "frames": 29,
+  "sha256": "60ac47056617b4a739b27b1741b7e4bea9ab9cf109687875714524abfd68e45c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [
+     [
+      1.12,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.16 s，机器人双脚着地站立，双手在篮球两侧共同抬球并向前上方送出；视频 0.20 s 球已与双手明显分离。"
+     },
+     {
+      "t": 1.12,
+      "log_step": null,
+      "text_zh": "观察：已逐帧查看视频 0.00–1.12 s 的全部 29 帧。篮球离手后沿弧线飞向篮圈，视频 0.80–1.00 s 从圈上方向下接近，视频 1.04–1.12 s 穿圈并降至篮网区域；末帧机器人仍站立。将达到圈下验收高度的时间标为视频约 1.12 s，受帧率和远景分辨率限制。"
+     },
+     {
+      "t": 1.12,
+      "log_step": 428,
+      "text_zh": "观察：log step 428 对最终 113 行交付文件重新生成并作两次独立重放，均返回 success=true、failed=null、阶段 release 与 through the ring、相同 state_sha；重放事件记载仿真 0.17 s 离手及仿真 1.121 s 穿圈成功。inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2，与视频末段穿圈一致；节点时刻取自视频帧，未把 agent 时间换算为视频时间。"
+     },
+     {
+      "t": 0.12,
+      "log_step": 381,
+      "text_zh": "推断：视频 0.00–0.16 s 可见双手从球两侧共同夹持并送球；开局张手夹持由 task_text 的起始条件补充，log step 381 的最终生成脚本在送球时给左右手闭合指令 0.3673 和 0.5。远景帧不能逐指确认后续是否形成包络抓握，因此只记录可确认的双手夹持，不将闭合指令本身当作抓握成立的证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.16 s 两只灵巧手从篮球两侧共同夹持、抬高并向前上方送球，视频 0.20 s 篮球已自由飞行。候选：夹持；开局张手相向夹紧，单手包络抓握未能从远景核实，托/舀也不能完整表达两侧相向夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.12 s 机器人双脚接触球场地面并支撑躯干，配合双臂送球，出手后保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": 2.772,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人站立将开局持有的篮球投向篮筐，视频约 1.12 s 篮球从上方穿圈并下降，罚球命中节点完成，终态为 1/1。最终交付文件的两次重放均成功且终态哈希相同（log step 428），与评分器成功判定及视频一致。无状态日志，远景录像不能独立核验逐指接触、毫秒级离手和精确穿圈交点；完成判定结合评分器结果，时间取视频近似值。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "罚球命中节点的时间（视频约 1.12 s）、final=true、接触（双臂协作/其他 + 腿/躯干支撑）与成功运行的空 failure 均与视频帧和评分器字段一致，未发现需修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:08:01Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--2tvslbf/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--2tvslbf/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "99117ee99cad79623e6712148f18767e7ce12f6f70d51ff9b9e66c30d1c4de95",
+   "video_sha256": "60ac47056617b4a739b27b1741b7e4bea9ab9cf109687875714524abfd68e45c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--5oaws6e.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--5oaws6e.json
new file mode 100644
index 0000000000000000000000000000000000000000..7afe9100388fe95dcfb7e7ec4735fd98b4854c90
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--5oaws6e.json
@@ -0,0 +1,168 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-privileged--5oaws6e",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 179,
+   "sim_steps": 179,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 4.23,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 2.754,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 152,
+   "agent_resets": 7827,
+   "agent_replays": 21,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 3.205,
+   "peak_processes": 18,
+   "peak_disk_gb": 0.24,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-privileged--5oaws6e/replay.mp4",
+  "duration_s": 1.8,
+  "fps": 25.0,
+  "frames": 45,
+  "sha256": "01e9aad5210c4440ace780fe091a1e42a99a45c058ae63ec137f2af23ffa7905"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [
+     [
+      1.79,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.4,
+      "log_step": 142,
+      "text_zh": "观察：视频 0.00–0.32 s，机器人双手在胸前篮球两侧相向接触，手指张开；视频 0.36–0.40 s 双臂共同向前上方送球，视频 0.44 s 球与手之间已出现间隙并向篮筐飞行。机器人双脚在地面支撑，直至视频 1.76 s 均保持站立。log step 142 的交付说明同样记载张手、双掌相向夹持后送球。"
+     },
+     {
+      "t": 1.76,
+      "log_step": null,
+      "text_zh": "观察：已逐帧检查视频 0.00–1.76 s；篮球离手后上升再下降，视频 1.52–1.68 s 从篮圈上方接近，视频 1.72 s 球在圈口上沿，视频 1.76 s 已进入圈口及网部并受到遮挡。成功参考在其视频 1.00–1.12 s 呈现相同的下降入圈过程；参考仅用于辨认画面。"
+     },
+     {
+      "t": 1.79,
+      "log_step": 158,
+      "text_zh": "推断：罚球命中在视频末端约 1.79 s 完成并锁存。log step 158 对最终交付文件的两次新进程重放均显示 success=True、179 个控制步、release 和 through the ring 两阶段完成且终态哈希一致；本次评分器 reward 同样为 success=1、replay_success=1、stages_reached=2/2。log step 141 的脚本按每控制步 0.01 s 计时，离手为仿真 0.43 s，与视频 0.40–0.44 s 的可见离手核对一致；据此把最终控制步 179×0.01=仿真 1.79 s 对应到约视频 1.79 s（视频总长 1.80 s）。最后渲染帧为视频 1.76 s，精确下方验收平面的通过由评分器成功结果补足，不从 agent 工作时间换算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.40 s，机器人两只张开的灵巧手在篮球两侧相向夹持并共同送球；候选名称“夹持”。两手未合指包住球，不适用抓握；单纯托/舀不能完整描述相向夹紧。视频 0.44 s 后球离手自由飞行。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.76 s，机器人双脚接触罚球区地面，支撑站立躯干并配合双臂投球。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": 2.754,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人双手相向夹持开局篮球并向前上方送出，约视频 0.44 s 可见离手，末段篮球从上方进入篮圈，约视频 1.79 s 完成罚球命中，最终进度为 1/1。评分器成功、两阶段完成及最终交付文件的确定性重放结果与画面一致，没有失败断点。没有状态日志，25 fps 录像末帧在视频 1.76 s 且球受篮圈及网遮挡，精确下方平面验收和毫秒级接触不能直接逐帧核验，完成值结合评分器判定，时间结合已核对的控制步映射估计。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与画面和评分器一致：球离手后飞行并在约视频 1.7 s 进入篮圈，评分器 success=1、阶段 2/2，节点 reached、无失败断点；接触（双臂协作/其他 + 腿/躯干支撑）合理，时间换算有控制步核对。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:02:40Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--5oaws6e/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--5oaws6e/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "13b56e903391668b9c33b30eefe9778be6b3152cbf2999911ce90f505cd122ac",
+   "video_sha256": "01e9aad5210c4440ace780fe091a1e42a99a45c058ae63ec137f2af23ffa7905",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--6uq7st2.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--6uq7st2.json
new file mode 100644
index 0000000000000000000000000000000000000000..482cd30ac84e85eca47ca0030b73abe049389b0e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--6uq7st2.json
@@ -0,0 +1,168 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-privileged--6uq7st2",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 180,
+   "sim_steps": 180,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 3.65,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 2.755,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 92,
+   "agent_resets": 105909,
+   "agent_replays": 112,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 3.518,
+   "peak_processes": 30,
+   "peak_disk_gb": 0.812,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-privileged--6uq7st2/replay.mp4",
+  "duration_s": 1.84,
+  "fps": 25.0,
+  "frames": 46,
+  "sha256": "638afecd39efcc63504726fc70345e03c46740750a6c0a2988699f771299cc34"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [
+     [
+      1.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.12,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.12 s，机器人两只张开的手从篮球两侧共同夹持并向上送球；视频 0.16 s 球已与双手分离，双脚仍落地支撑。"
+     },
+     {
+      "t": 1.8,
+      "log_step": null,
+      "text_zh": "观察：逐帧查看完整录像；视频 1.60–1.72 s 橙球从篮板上方朝篮圈下降，视频 1.76 s 球到达橙色圈口，视频 1.80 s 球已在圈下篮网内。参考成功录像的末段也呈现球从上方入圈后在网内下落的可见形态；本次达成时间按本次末帧约定为视频 1.80 s，精度约一个视频帧。"
+     },
+     {
+      "t": 1.8,
+      "log_step": 219,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=stages_total=2、fell=0；log step 219 的最终封装脚本输出报告交付文件为 180 行、两次新进程重放成功、生成器逐数组完全一致，并记录仿真离手 0.156 s、仿真命中 1.793 s。节点时间取上述已检查的视频帧，不用 agent 工作时间换算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.12 s 左右手从球两侧相向夹持并共同上送，未见任一手合拢包住篮球；候选“夹持送球”，抓握不适用，单纯托/舀不能完整描述两侧相向夹持；视频 0.16 s 后球离开双手自由飞行。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.80 s 机器人双脚接触罚球区地面，支撑躯干完成送球及随挥，录像中保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": 2.755,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：机器人双手夹持上送篮球，球约在视频 0.16 s 离手，沿高弧线飞行后于视频 1.76–1.80 s 从上方穿过篮圈并降入网内，罚球命中节点最终完成 1/1；评分器 success=1、两个原生阶段均完成且重放确定。观察：没有状态日志，25 fps 场地录像不能独立核验毫秒级接触或精确穿圈交点，相关合法性由评分器成功结果佐证，节点时间取视频约 1.80 s。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，单节点 free_throw_scored 在视频约 1.8 s 达成，帧上球入网，评分器 success=1，接触标注（双臂协作+其他、腿/躯干支撑）与视频一致，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-30T23:59:22Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--6uq7st2/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--6uq7st2/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "0f49ed7a4316b7e1cc2b7c94f8244e7d3c1fc721a42aeb86e0c9af7c530269f0",
+   "video_sha256": "638afecd39efcc63504726fc70345e03c46740750a6c0a2988699f771299cc34",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--gtwhdfb.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--gtwhdfb.json
new file mode 100644
index 0000000000000000000000000000000000000000..29f5d7d3db2e2c7cc0961afec17b8f6c1966efa0
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--gtwhdfb.json
@@ -0,0 +1,178 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-privileged--gtwhdfb",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 307,
+   "sim_steps": 307,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 4.25,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 2.803,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 170,
+   "agent_resets": 8528,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 4.492,
+   "peak_processes": 28,
+   "peak_disk_gb": 0.241,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-privileged--gtwhdfb/replay.mp4",
+  "duration_s": 3.08,
+  "fps": 25.0,
+  "frames": 77,
+  "sha256": "8e425eb5f53bc820ec2a6d09a94dd1607aa10a68d5bc4917cbf21240c1eed102"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.07,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s，机器人站在罚球线后，橙色篮球位于两只张开的手之间；视频 0.64–1.52 s，机器人屈膝下蹲，篮球随双手下降，仍在两手之间。"
+     },
+     {
+      "t": 1.72,
+      "log_step": null,
+      "text_zh": "观察：视频 1.56–1.68 s，机器人伸腿并将双臂从下方向前上方摆起，两只手共同送出篮球；视频 1.72 s，球已与双手明显分离并继续向篮筐上方飞行。"
+     },
+     {
+      "t": 3.04,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 2.00–3.04 s，篮球先上升再下降，视频 2.88–3.00 s 从篮圈上方接近圈口，视频 3.04 s 球位于圈口及篮网顶部区域；机器人此时明显向前倾斜，录像在其完全倒地前结束。"
+     },
+     {
+      "t": 3.07,
+      "log_step": 56,
+      "text_zh": "推断：log step 56 是交付 trajectory.npz 的官方重放，记录仿真 1.652 s 离手、仿真 3.069 s through the ring 和 success，307 个控制步结束；log step 2 给出 control_dt=0.01 s，故终点映射为视频约 307×0.01=3.07 s，与视频总长 3.08 s 一致，并已用视频 1.64–1.72 s 的离手动作核对。将命中事件定位在视频约 3.07 s，精度受 25 fps 末帧采样限制。"
+     },
+     {
+      "t": 3.07,
+      "log_step": 91,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2/2、fell=0；log step 91 显示两次交付文件重放均成功且终态哈希相同，log step 74 确认再生成的 307 行 actions 与此前交付相同，log step 96 确认最终再生成文件的哈希不变。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–1.64 s，机器人左右手分别位于篮球两侧，双臂共同夹持、降低并向上送球；可见手保持张开，没有单手合拢包住球。候选“夹持送球”：两手相向承载并送出，不符合单手包络的抓握，托/舀也不能完整描述两侧夹持；视频 1.72 s 后球与双手分离，自由飞向篮筐。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.60 s，机器人双脚接触场地地面，双腿屈膝下蹲后伸展，为双臂投篮提供支撑；出手后机器人身体上升再落回脚部支撑，视频 2.72–3.04 s 逐渐向前倾斜。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": 2.803,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：机器人下蹲后以双手夹持送球，视频约 1.7 s 出手，篮球在视频末段从上方进入篮圈；评分器确认罚球命中，唯一节点完成，最终 1/1。推断：结合交付文件官方重放的控制步和离手动作核对，命中定位为视频约 3.07 s；末段前倾未被评分器判为命中前跌倒。证据缺口：没有状态日志，25 fps 固定远景不能独立核验毫秒级接触间断和精确穿圈交点，末帧之后的验收细节由官方重放及评分器成功字段支持。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一节点 free_throw_scored 达成（评分器 success=1、stages 2/2），时间由重放事件 t=3.069 s 与 307 步映射得出，视频抽帧显示约 1.7 s 出手、末段球在篮筐上方，与标注一致；双臂协作/其他与腿支撑接触合理，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-30T23:59:43Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--gtwhdfb/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--gtwhdfb/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9ee6e278be5d928097bbe21a546107b1c5cc1ce36a03d6c67749a56bcac2cd5d",
+   "video_sha256": "8e425eb5f53bc820ec2a6d09a94dd1607aa10a68d5bc4917cbf21240c1eed102",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--kpkajvd.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--kpkajvd.json
new file mode 100644
index 0000000000000000000000000000000000000000..c5238caa49d659617b93616e6c5e329c701b0345
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--kpkajvd.json
@@ -0,0 +1,194 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-privileged--kpkajvd",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.5,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 135,
+   "sim_steps": 135,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 0.5,
+   "stages_reached": 1,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 2.53,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.097,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 203,
+   "agent_resets": 2545,
+   "agent_replays": 3,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.892,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.264,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-privileged--kpkajvd/replay.mp4",
+  "duration_s": 1.36,
+  "fps": 25.0,
+  "frames": 34,
+  "sha256": "4da866449f81e746c799290319eefad2dad0fadbe78081d1092928bb97a59f34"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.24,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.20 s，机器人双手将篮球从身前向上送出；视频 0.24–0.28 s，篮球与双手分离并向篮筐方向飞行。"
+     },
+     {
+      "t": 0.64,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 0.28–1.32 s，篮球飞行弧线低于篮圈，随后下降到篮下附近地面；没有从上向下穿圈。成功参考视频 0.80–1.12 s 则可见篮球从篮圈上方降入圈内。"
+     },
+     {
+      "t": 1.32,
+      "log_step": 453,
+      "text_zh": "观察：视频 1.20–1.32 s，篮球接近并落到地面，机器人仍以双脚支撑；log step 453 对最终生成文件的重放报告 success=false、stages=[release]、failed=the ball touched the floor，与画面一致。原生离手阶段不满足本 DAG 的罚球命中节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.20 s，机器人两只张开的手在篮球两侧共同夹持、上送篮球，随后分开让球自由飞行。候选：夹持；未见任一手合拢包住篮球，抓握不适用，单纯托/舀不能完整描述两侧相向夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.32 s，机器人双脚接触罚球区地面支撑躯干，腿部伸展配合双臂送球，末段躯干前倾但未见倒地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": 0.097,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "free_throw_scored",
+   "t": 0.64,
+   "log_step": 453,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.24–0.68 s，机器人投出的篮球沿低于篮圈的弧线前进，继而下降；视频 1.20–1.32 s，球落到地面而未穿圈。log step 453 最终文件重放只记录 release 阶段并因篮球触地结束，故失败步骤为罚球命中。"
+  },
+  "unmet": {
+   "free_throw_scored": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 0.64,
+    "log_step": 453,
+    "evidence_zh": "观察：视频 0.28–1.32 s，篮球离开机器人双手后未达到篮圈高度便开始下降，最终落到篮下附近地面，没有从上方进入篮圈；log step 453 的最终重放也报告只有离手阶段、篮球触地失败。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 0.24,
+    "log_step": 349,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 349 的最终生成脚本以预设关节目标、前馈力矩和固定动作步数协调腿臂伸展，再外展双臂放球；log step 453 重新生成并重放该文件仍因篮球触地失败，且视频 0.24–1.32 s 显示出手弧线过低。结合脚本明确朝篮筐投球的目标，支持送球控制未产生所需飞行轨迹；不能据此确定是接触几何、关节跟踪还是具体参数造成。"
+   }
+  ],
+  "gap_zh": "没有状态日志；固定远景录像不足以分辨逐指接触、接触力及精确离手速度，因而控制根因保留大类，未细分为抓取和接触设计、轨迹或逆解或参数调试。log step 453 的离手与触地事件带仿真时间，本标签的视频锚点均来自已检查画面，未将 agent 工作时间换算成视频时间。"
+ },
+ "summary_zh": "机器人从双手持球开始，双脚支撑并协调腿臂伸展投出篮球，但球的弧线低于篮圈，最终落地，罚球命中节点始终未达成（0/1）。最终交付文件的重放只达到原生离手阶段，失败定位于罚球命中操作中的位姿不准，根因支持控制大类。缺少逐帧状态及接触力数据，无法进一步确定出手控制的具体失效机制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与视频和 log 一致：球离手后弧线低于篮圈并落地，罚球命中节点未达成，断点、位姿不准、控制根因均符合 03 文档对投篮类的规则，未发现需改动之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:05:57Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--kpkajvd/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--kpkajvd/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8174ea18d710fa5260f01979a58426176378a2d10ce2841596bbb64d6fa95ba6",
+   "video_sha256": "4da866449f81e746c799290319eefad2dad0fadbe78081d1092928bb97a59f34",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--o3budzo.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--o3budzo.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ee6785e6a200f49e31f2a5e79e1618cad14058b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--o3budzo.json
@@ -0,0 +1,178 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-privileged--o3budzo",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 137,
+   "sim_steps": 137,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 3.91,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 2.765,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 100,
+   "agent_resets": 5864,
+   "agent_replays": 16,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 3.005,
+   "peak_processes": 19,
+   "peak_disk_gb": 0.982,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-privileged--o3budzo/replay.mp4",
+  "duration_s": 1.4,
+  "fps": 25.0,
+  "frames": 35,
+  "sha256": "f1223491fcff8c354c7751e58d80fe5c604e4562a8d638c313c97db19a6b24e6"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [
+     [
+      1.36,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.12,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.12 s，机器人两只张开的手在篮球两侧夹持并共同向前上方送球；未见单手合指包住篮球，双脚接触地面支撑身体。"
+     },
+     {
+      "t": 0.2,
+      "log_step": null,
+      "text_zh": "观察：视频 0.16 s 篮球位于上举双手前上方，视频 0.20 s 已与两手明显分离，随后沿弧线飞向篮筐；机器人双脚仍在原地支撑。"
+     },
+     {
+      "t": 1.36,
+      "log_step": null,
+      "text_zh": "观察：已检查视频全部 35 帧；视频 1.08–1.28 s 篮球从篮圈上方持续下降，视频 1.32 s 到达圈口，视频 1.36 s 可见篮球进入圈下篮网。节点到达取视频约 1.36 s，精度受 25 fps 及远景分辨率限制。"
+     },
+     {
+      "t": null,
+      "log_step": 210,
+      "text_zh": "观察：log step 210 最终交付文件的重放结果为 success=true、stages=[release, through the ring]、executed_rows=137、ball_height_m=2.765；log step 219 对该文件的两次独立重放均成功且终态哈希相同。inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2，与视频末段穿圈一致。"
+     },
+     {
+      "t": 1.36,
+      "log_step": 210,
+      "text_zh": "推断：结合视频末段从上向下穿圈及评分器成功结果，罚球命中验收已完成，事件锁存至回合结束；无状态日志，录像无法独立量出球心精确交点、圈下一个球直径阈值或毫秒级接触间断。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.16 s，机器人左、右张开的灵巧手从篮球两侧相向夹持并共同向上送球，随后篮球离手。候选：夹持；未见任一手合指包络篮球，故不标抓握，单纯托/舀不足以描述开局两侧夹紧。离手后篮球自由飞行。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.36 s，机器人双脚持续接触罚球区地面，原地支撑躯干完成送球和随挥。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": 2.765,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：机器人双手夹持送出篮球，球沿弧线从上方进入篮圈，视频约 1.36 s 进入圈下篮网，罚球命中节点完成（1/1）；评分器成功且最终交付文件两次重放成功，故无失败断点。推断：视频与裁判结果共同支持成功；没有状态日志，精确穿圈交点、圈下球径阈值及毫秒级接触规则依赖裁判验收，节点时间为视觉近似。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "成功运行，评分器 success=1；视频中球离手后飞向篮筐，节点时间约 1.36 s 合理，接触标注（双臂协作+其他、腿/躯干支撑）与帧一致，无失败断点。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:00:55Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--o3budzo/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--o3budzo/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "3030a4c604397762745543dd1ea6b4d5a94c4bf88bfc4ee494af5f0d97da731c",
+   "video_sha256": "f1223491fcff8c354c7751e58d80fe5c604e4562a8d638c313c97db19a6b24e6",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--yraw2rj.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--yraw2rj.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc8227ad575b7b190415390a8339afb48ecba213
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-privileged--yraw2rj.json
@@ -0,0 +1,168 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-privileged--yraw2rj",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 259,
+   "sim_steps": 221,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 4.67,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 2.797,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 430,
+   "agent_resets": 3083,
+   "agent_replays": 5,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 3.164,
+   "peak_processes": 22,
+   "peak_disk_gb": 0.242,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-privileged--yraw2rj/replay.mp4",
+  "duration_s": 2.24,
+  "fps": 25.0,
+  "frames": 56,
+  "sha256": "3150ef218adebd465ac2add3f640db83fd6e1a47cae7984ded163bdcf10288f5"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–1.12 s，机器人双脚站在罚球线后，橙色篮球位于两只张开的灵巧手之间；视频 1.16–1.24 s，双手共同向上送球，视频 1.28 s 篮球与双手已明显分开并向篮筐飞行。"
+     },
+     {
+      "t": 2.2,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 1.28–2.20 s，篮球先上升再下降；视频 2.08–2.12 s 球仍在篮圈上方，视频 2.16 s 球正在圈口，视频 2.20 s 球已进入网中并降至篮圈下方，机器人仍由双脚支撑。节点达到时间取视频约 2.20 s。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 160,
+      "text_zh": "观察：log step 159 显示修正后的生成文件与已验证轨迹数组相同；log step 160 对该最终交付文件的官方 CLI 重放返回 success=true、failed=null、stages=[release, through the ring]、steps=221、time_s=2.21（仿真秒）、ball_height_m=2.797，与 log step 156 重放的 state_sha 一致；inputs/run.json 的最终评分亦为 success=1、replay_success=1、deterministic=1、stages_reached=2/2。该重放结果与视频末段穿圈一致，确认已满足圈下继续下降及合法投篮的验收。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–1.12 s，机器人左右张开的灵巧手从篮球两侧相向夹持；视频 1.16–1.24 s 双手共同向上送球，视频 1.28 s 球已脱离双手。候选：夹持；两手没有各自合拢包住球，抓握不适用，单纯托/舀不能完整描述开局相向夹球（D12）。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.20 s，机器人左右脚接触球场地面，在罚球线后支撑身体完成送球并在篮球飞行期间保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": 2.797,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成罚球命中节点，最终进度为 1/1：双手夹球后共同上送，篮球飞向篮筐并于视频约 2.20 s 从上方穿圈、继续降入网中。最终评分成功，log step 160 对最终文件的官方重放记录 release 与 through the ring 两阶段均完成，支持视频所见；会话中的其他试投不计入本次轨迹。无状态日志且视频仅 25 fps，无法独立核验毫秒级接触和精确穿圈交点，这些验收细节依据最终裁判结果确认。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "视频帧与标签一致：约1.2 s双手上送离手，2.0–2.2 s球入篮圈/网；评分success=1、stages 2/2支持节点达成，contact_actual合理，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:06:26Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--yraw2rj/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-privileged--yraw2rj/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "141a4078b785dccfac3d91d3dacd6789624b20bc9bbffed73eff6834b845715a",
+   "video_sha256": "3150ef218adebd465ac2add3f640db83fd6e1a47cae7984ded163bdcf10288f5",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--28vucfr.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--28vucfr.json
new file mode 100644
index 0000000000000000000000000000000000000000..e83156553b0be0c1fc6ffeb1805c4016514df984
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--28vucfr.json
@@ -0,0 +1,169 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-standard--28vucfr",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 0,
+   "sim_steps": 0,
+   "calls": 1,
+   "rows": 0,
+   "resets": 0,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2699.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 4,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-standard--28vucfr/replay.mp4",
+  "duration_s": 0.04,
+  "fps": 25.0,
+  "frames": 1,
+  "sha256": "f5ea9092e2daeb267e46d92b7987d621f520594a6f3c3d8c9f692d8920fb8cd6"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 4,
+      "text_zh": "观察：本次视频唯一一帧（视频 0.00 s，片长 0.04 s）显示机器人站在罚球区，橙色篮球仍位于胸前双手之间，未见离手、飞向篮圈或穿圈；log step 4 的现场服务观测为 seconds=0.0、control_steps_watch=0。"
+     },
+     {
+      "t": 0.0,
+      "log_step": 79,
+      "text_zh": "观察：评分字段 n_actions=0、sim_steps=0、rows=0、live_success=0；log step 79 记录 Gemini 过滤器阻断。此前 log step 63、74、77、78 的投球数值来自 agent 自建 MuJoCo 场景测试，不是本次现场评分回合，不能计入节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "不适用",
+      "how": "不适用",
+      "note_zh": "提供方过滤器中断前没有交付或执行现场动作；录像仅为开局持球静帧，没有可标注的投篮操作接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "unknown",
+   "t": null,
+   "log_step": 79,
+   "where": "首步前",
+   "evidence_zh": "观察：log step 79 以“This request was blocked by Gemini's filters”结束，评分记录 n_actions=0、sim_steps=0、rows=0；视频 0.00 s 仅有开局持球画面。推断：现场投篮尚未启动即被提供方过滤器中断，没有可定位的物理失败步骤，按外因中断规则将断点记为 unknown。"
+  },
+  "unmet": {
+   "free_throw_scored": false
+  },
+  "phenomena": [],
+  "root_causes": [],
+  "gap_zh": "观察：inputs/replay.mp4 仅含视频 0.00 s 的一帧，inputs/ 中没有状态日志；评分记录为零动作、零仿真步，log step 79 记录提供方过滤器阻断。推断：这是结果尚未由实际投篮确定前的外因中断，依 CASES.md FAIL-5 不列为机器人能力失败，不标“没尝试”或根因；会话内自建仿真测试不能替代评分轨迹。原生 ball_height_m 未在评分字段中报告，保留 null。"
+ },
+ "summary_zh": "本次评分视频只有开局持球的一帧，现场动作数及仿真步数均为零，“罚球命中”未达成，节点终值为 0/1。log step 79 记录 Gemini 提供方过滤器中断，故按外因中断处理，断点为 unknown／首步前，现象与根因留空；会话内自建 MuJoCo 测试不属于评分回合。没有实际投篮过程或状态日志可用于进一步分析，应重测并排除于能力失败统计。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标注与证据一致：全程无任何提交（77 个步骤 sim.submit 均为 0），n_actions=0，log step 79 为 Gemini 过滤器阻断，视频仅一帧开局画面；按 FAIL-5 外因中断，断点 unknown/首步前，现象与根因为空且有 gap_zh，节点 false 合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:02Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
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+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--28vucfr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--28vucfr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a28bfaa0e80f4cf6d3d609d77ca3b3a1b6aaf9994c661efaf0f33e4abcdb8ddd",
+   "video_sha256": "f5ea9092e2daeb267e46d92b7987d621f520594a6f3c3d8c9f692d8920fb8cd6",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--dkxv6yq.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--dkxv6yq.json
new file mode 100644
index 0000000000000000000000000000000000000000..18034ce02ccd5007b2d2adc1ff2b4a3de7a8023e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--dkxv6yq.json
@@ -0,0 +1,196 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-standard--dkxv6yq",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 303,
+   "sim_steps": 961,
+   "calls": 37,
+   "rows": 920,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3971.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.33,
+   "peak_processes": 9,
+   "peak_disk_gb": 1.093,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-standard--dkxv6yq/replay.mp4",
+  "duration_s": 3.04,
+  "fps": 25.0,
+  "frames": 76,
+  "sha256": "39499c6194e1806ffeedb43a1752afec9b90f402918530ed3d0bfadd733e03c1"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 169,
+      "text_zh": "观察：视频 0.00 s 篮球位于机器人胸前双手之间；视频 1.00–2.40 s 双臂将球抬至面前。log step 169 的控制脚本重置到 episode 6，log step 170 的服务回执确认该回合开始并执行持球抬升；评分字段 graded_by_live=1，采用最后现场回合。"
+     },
+     {
+      "t": 2.64,
+      "log_step": 176,
+      "text_zh": "观察：视频 2.40–2.64 s 机器人双手转动，篮球逐渐落到掌下；视频 2.68–3.00 s 球与双手分离并落向机器人脚前，全程未飞向篮圈，也未穿圈。agent 自述“球在最后转掌时滑脱”（log step 176），与上述画面一致。"
+     },
+     {
+      "t": 3.0,
+      "log_step": 177,
+      "text_zh": "观察：视频 3.00 s 篮球已在机器人脚前近地面处，机器人仍站立；log step 177 的机器人服务裁判回执为 episode=6、done=true、outcome=\"the ball touched the floor\"、stages_reached=1/2，评分 success=0。原生离手阶段不等于 DAG 的罚球命中，故该节点始终未达到。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00 s 双手从篮球两侧相向夹持，随后共同抬球，视频 2.40–2.64 s 转掌时球下滑。候选：夹持；开局不是单手合拢包球的抓握，后续远景不能精确辨认各手指的包络及接触变化。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.00 s 机器人双脚接触球场地面，支撑躯干及双臂持球、抬球和转掌，末帧仍站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "free_throw_scored",
+   "t": 2.6,
+   "log_step": 173,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.40–2.64 s 机器人正在转动双手准备送球，球从手间下滑；视频 2.68–3.00 s 球继续落向脚前，未形成朝篮圈的投射。log step 171、173 提交的是转掌控制段，log step 176 改为站立等待；log step 177 的裁判以篮球触地结束最后现场回合，罚球命中未补成。"
+  },
+  "unmet": {
+   "free_throw_scored": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 2.6,
+    "log_step": 176,
+    "evidence_zh": "观察：视频 1.00–2.40 s 篮球随双手抬升并停留在面前，视频 2.60–2.72 s 球落至手下并脱离，随后继续下落；这是已有持球在转掌过程中丢失。agent 自述“球在最后转掌时滑脱”（log step 176），裁判在 log step 177 报告篮球触地。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 2.6,
+    "log_step": 171,
+    "evidence_zh": "推断：log step 171 的控制脚本要求双手围绕目标球心高度 1.5 m 调整掌向，并持续发送双手闭合命令；log step 173 执行其后半段，视频 2.40–2.72 s 却显示球从两手下方掉出，未被维持到计划的送球阶段。结合 agent 在 log step 176 确认转掌滑脱，归为持球到转掌过渡的控制失败；没有证据进一步区分接触几何、力控制或轨迹跟踪。",
+    "source_zh": "日志 / 视频 / agent 自述"
+   }
+  ],
+  "gap_zh": "没有状态日志；远景录像不能分辨后续每根手指是否形成包络抓握，也不能核验毫秒级接触先后，实际接触记录仅明确可见的双手夹持和双脚支撑。日志没有报告最后回合各接触点的力及足以归因的跟踪误差，故控制根因不细分；原生 ball_height_m 未在评分字段中报告，保留 null。"
+ },
+ "summary_zh": "最后现场回合中，机器人双手持球并抬至面前，但视频约 2.6 s 转掌时球滑出双手，随后落向脚前；裁判报告篮球触地，罚球命中节点最终为 0/1。现象为没保持住，根因归为控制；无状态日志且远景无法分辨手指接触细节，不能进一步确定接触设计或跟踪问题。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频 2.64 s 前球仍在双手间，约 2.68–3.00 s 球滑落至脚前，节点未达成、断点与「没保持住」现象均有画面和裁判回执支持；根因归控制并声明无法细分，措辞克制，未发现需改内容的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:09:35Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--dkxv6yq/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--dkxv6yq/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c52f8829d4db0156cdd80328ebc46755beb878b344363b413a67fa370ecc74e6",
+   "video_sha256": "39499c6194e1806ffeedb43a1752afec9b90f402918530ed3d0bfadd733e03c1",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--e78dxun.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--e78dxun.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b8e8cc6dd0e6104cff7d622f8f12c73b85d2fb8
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--e78dxun.json
@@ -0,0 +1,189 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-standard--e78dxun",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 162,
+   "sim_steps": 1189,
+   "calls": 20,
+   "rows": 939,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1963.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.381,
+   "peak_processes": 10,
+   "peak_disk_gb": 1.806,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-standard--e78dxun/replay.mp4",
+  "duration_s": 1.64,
+  "fps": 25.0,
+  "frames": 41,
+  "sha256": "92262515387df4083ce5afb5e44eb34af47216c12e9b0415820cb47e9a4b2b08"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–1.20 s，机器人双脚站立，篮球停在胸腹前的左右手之间；视频 1.28–1.60 s 篮球脱离双手向脚前下落，全片未见球飞至篮圈或从上穿圈。"
+     },
+     {
+      "t": 1.6,
+      "log_step": 141,
+      "text_zh": "观察：log step 134 的服务状态为 episode=6、control_steps=162、done=true、reason=failed；log step 141 读取该最后回合的服务元数据，outcome 为“the ball touched the floor”、stages_reached=1，与视频末段失球下落一致。该原生阶段数不是 DAG 节点完成数，罚球命中仍为未达。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–1.20 s，机器人左右手从篮球两侧相向夹持，随后球从两手下方掉出。候选：夹持；开局手掌相向承球，未见单手以相对手指包络夹住球，抓握不适用，托/舀不能完整描述两侧夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.60 s，机器人双脚持续接触罚球区地面，支撑持球及屈臂动作，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "free_throw_scored",
+   "t": 1.28,
+   "log_step": 141,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.28 s，机器人仍在胸腹前屈臂准备投篮时，篮球开始从双手下方滑出；视频 1.40–1.60 s 球降至腿旁及脚前，未向篮圈飞行。log step 141 的最后回合服务元数据报告篮球触地失败，之后未修复。"
+  },
+  "unmet": {
+   "free_throw_scored": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 1.28,
+    "log_step": 141,
+    "evidence_zh": "观察：视频 0.00–1.20 s 篮球保持在机器人两手之间，视频 1.28–1.36 s 从手下方露出并持续下落，视频 1.40–1.60 s 两手空着、篮球降到腿旁及脚前；没有完成向上送球出手。log step 141 对应最后回合的服务输出为“the ball touched the floor”。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "交付",
+    "item": "交付操作出错",
+    "source_zh": "日志",
+    "evidence_zh": "推断：最终现场回合误选了旧动作策略。log step 132 新增 run_final() 及其快速上挥、分掌出手方案，log step 134 执行 python gen.py final 却产生旧分支的 t1 数据；log step 141 确认该回合实际仅运行 grip、load 段并以篮球触地结束。log step 110 所写入口读取 what 后无条件调用 run_throw(p, tag)，log step 143 的带 assert 替换成功记录再次核实旧入口未按 final 分派；修复发生在 episode=6 已结束之后。此策略选择错误使评分回合重复旧屈臂蓄力动作，与视频约 1.28 s 失球一致；新方案是否能命中未获验证。"
+   }
+  ],
+  "gap_zh": "没有状态日志；固定远景无法精确区分每根手指的接触及失球时的接触力，故不进一步归因为握力、摩擦或关节跟踪误差。原生指标 ball_height_m 未见评分器字段报告，保留 null。"
+ },
+ "summary_zh": "评分对象是最后一次现场回合（episode=6），唯一节点“罚球命中”未达成，最终进度为 0/1；视频约 1.28 s 篮球从双手下滑，至视频 1.60 s 已落向脚前，机器人仍站立。日志核实最终调用未分派到新投篮函数，而重复旧屈臂蓄力方案，修复发生在回合结束后；失球现象为没保持住。没有状态日志及接触力记录，不能进一步判定具体失球力学原因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达、断点、没保持住现象和交付操作出错根因均与视频及 log step 134/141/143 一致，未发现需要修改的内容。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:05:05Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--e78dxun/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--e78dxun/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d1fb789af5a218a5182169c899ea65be54192a484a47e99164540666ac06b938",
+   "video_sha256": "92262515387df4083ce5afb5e44eb34af47216c12e9b0415820cb47e9a4b2b08",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--syygljz.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--syygljz.json
new file mode 100644
index 0000000000000000000000000000000000000000..a40199c8f8eaff09e07934a794574d20d702e727
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--syygljz.json
@@ -0,0 +1,191 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-standard--syygljz",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 109,
+   "sim_steps": 200,
+   "calls": 10,
+   "rows": 200,
+   "resets": 1,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 253.8,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 2.486,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.921,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-standard--syygljz/replay.mp4",
+  "duration_s": 1.12,
+  "fps": 25.0,
+  "frames": 28,
+  "sha256": "e37408f21138821ef9e442ef69e6142e88e7034b0646b96da86f191d060864a4"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.4,
+      "log_step": 26,
+      "text_zh": "观察：视频 0.00–0.32 s 机器人双手在胸前夹持并抬起篮球；视频 0.40 s 球已与双手分离，视频 0.68–0.80 s 双臂继续抬伸时球已在手前自由飞行。log step 26 记录唯一一次重置后第二回合，四段动作执行后裁判返回 the ball touched the floor，stages_reached=1；这是最终受评现场回合。"
+     },
+     {
+      "t": 1.08,
+      "log_step": 26,
+      "text_zh": "观察：逐帧检查视频 0.00–1.08 s，篮球仅在机器人前方形成低而短的弧线，视频 0.56–0.64 s 附近达到最高处，随后下降，视频 1.08 s 已到篮筐前方地面附近；全程未到篮圈处，更未从上向下穿圈。成功参考视频 0.88–1.12 s 可见球在篮板及篮圈处下降，本回合没有该现象；裁判触地失败与本回合画面一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.32 s 左右手同时在篮球两侧相向夹持并共同抬球，视频 0.36–0.40 s 球逐渐脱离手部；开局手指未包住球，不能称抓握。候选：夹持；相向夹紧不属于现有推/扫、压/擦或托/舀取值。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.08 s 机器人双脚接触球场地面并支撑躯干，抬球及后续空手推送时保持站姿。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "free_throw_scored",
+   "t": 0.4,
+   "log_step": 26,
+   "where": "操作中",
+   "evidence_zh": "推断：视频 0.36–0.40 s 球在机器人抬臂时提前脱手，视频 0.68–0.80 s 后续推送已为空手动作，篮球始终远低于并未到达篮圈，最终落向地面。log step 22 的脚本将抬球列为推送之前的独立阶段，log step 26 确认此回合以触地失败结束，仅达到离手阶段，罚球命中未完成且之后没有新的现场回合修复。"
+  },
+  "unmet": {
+   "free_throw_scored": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 0.4,
+    "log_step": 26,
+    "evidence_zh": "推断：视频 0.00–0.32 s 机器人双手夹持球并抬起；视频 0.40–0.64 s 球已离手而双臂停留在抬球位置，视频 0.68–0.80 s 才继续作空手推送。结合 log step 22 的先抬球、再推送及开手程序，球未保持到计划推送阶段便已脱手；随后视频 0.84–1.08 s 球在篮筐前方下落，log step 26 裁判报告篮球触地。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 0.4,
+    "log_step": 24,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 22 的脚本在各阶段调用 ramp([], target, T)，而 log step 24 修补为 rows 为空时令 cur=target，因此抬球阶段的全部目标行直接等于抬球终点，没有从上一姿态渐变；log step 26 随后实际执行此脚本。视频 0.24–0.40 s 双臂上抬过程中球已脱离，后续推送空挥，说明此控制序列未协调持球、加速及释放。缺少接触力及关节跟踪记录，子类不进一步细分。"
+   }
+  ],
+  "gap_zh": "没有状态日志或逐帧接触力，无法确定最后一次手球接触的毫秒时刻，也不能进一步区分接触几何、夹持力与关节跟踪的贡献；脱手时间取视频 0.36–0.40 s 的近似锚点。输入评分器未报告 ball_height_m，故原生指标留 null。log step 48 之后的本地模型搜索、log step 169 的说明文件及 log step 190 的末次搜索自述均不是新增现场回合，不能替代最终受评视频。"
+ },
+ "summary_zh": "最终受评的是 log step 26 重置后的第二次现场投篮，罚球命中节点始终未达成，最终为 0/1。机器人抬球时约视频 0.36–0.40 s 提前失去手球接触，随后空手推送，球短距离飞行后落地；日志中的轨迹生成方式支持控制序列协调不足的归因。没有状态日志及接触力记录，精确脱手时刻和控制子类仍有缺口，后续本地搜索未在现场执行。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点（罚球命中·操作中，球在抬臂时脱手）、没保持住现象与控制根因均与视频及 log step 22/24/26 一致；未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:05:46Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--syygljz/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--syygljz/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "1de06028c0bd5761535f26f88a6cddb545a42e19ed25922d70112105c18d1bfd",
+   "video_sha256": "e37408f21138821ef9e442ef69e6142e88e7034b0646b96da86f191d060864a4",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--waqmafq.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--waqmafq.json
new file mode 100644
index 0000000000000000000000000000000000000000..3bf3560db8e1c69c3f4f5b762056888ac7142336
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--waqmafq.json
@@ -0,0 +1,195 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-standard--waqmafq",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 313,
+   "sim_steps": 1795,
+   "calls": 18,
+   "rows": 1615,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2578.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 3.939,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.38,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-standard--waqmafq/replay.mp4",
+  "duration_s": 3.16,
+  "fps": 25.0,
+  "frames": 79,
+  "sha256": "892dc231939729f6fb43c15e84354574e0a9c42126e1f7f65c0271fac65a621b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s，机器人站在罚球区，左右张开的手共同夹持胸前的橙色篮球；视频 0.80–2.72 s，双手把球缓慢降到腰前。"
+     },
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 2.76–2.84 s，机器人双手迅速上抬，篮球却从两手之间向下脱离，未随手上升；视频 2.88–3.12 s，球继续落到机器人脚前，始终远离篮圈，全片没有从上向下穿圈。"
+     },
+     {
+      "t": 3.12,
+      "log_step": 119,
+      "text_zh": "观察：log step 119 的服务返回标明 episode=6、resets_left=0、done=True、outcome=\"the ball touched the floor\"、stages_reached=1；这是最后一次现场回合，与视频 3.12 s 球落到脚前地面的画面一致。run.json 的 graded_by_live=1、live_success=0，罚球命中未达成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–2.72 s，机器人左右张开的灵巧手从两侧共同夹持篮球并下移，未见任一只手合拢包住球；视频 2.76–2.84 s，双手上抬而球脱离下落。候选：夹持；相向夹紧不属于单手包络抓握，托/舀不能完整描述两侧共同夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.12 s，机器人双脚接触球场地面，双腿支撑躯干完成持球、下移及双臂上抬过程，未见倒伏。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "free_throw_scored",
+   "t": 2.76,
+   "log_step": 119,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.72 s 篮球仍在机器人腰前两手之间；视频 2.76–2.84 s，两臂上抬而球向下脱离，随后一直落至视频 3.12 s 的脚前地面，投篮未获修复。log step 119 的最后一局服务结果为篮球触地失败，因此断点是正在进行的罚球命中步骤。"
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 2.76,
+    "log_step": 119,
+    "evidence_zh": "观察：视频 2.64–2.72 s，篮球仍随双手保持在腰前；视频 2.76–2.84 s，双手快速上抬后球留在下方，视频 2.88–3.12 s 几乎向下落至脚前，没有形成飞向篮圈的上抛。log step 119 的服务裁判返回 \"the ball touched the floor\"。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 117 的生成脚本用双臂向内偏移与夹紧力矩保持球，log step 118 为最后一局生成命令时 grip=0.0，依靠张开双手的接触承载快速送球；视频 2.76–2.84 s 显示双手上抬而球向下脱离，说明该接触布局未把手部运动有效传递给球。agent 在 log step 121 自述最后一次 V 形掌姿在投篮启动时失球，且本地模型未能验证真实手球接触；这与画面一致，支持接触设计不适配，但不足以量化摩擦或夹紧力。日志未验证能修复本控制器的具体替代握法。"
+   }
+  ],
+  "gap_zh": "本任务没有状态日志，场地远景和放大裁剪只能辨认双手共同持球及随后失球，无法区分各掌、拇指的精确接触、接触力或毫秒级离手先后；抓取和接触设计根因由命令脚本、视频与 agent 自述综合推断。评分器未报告 ball_height_m，故原生指标值留空。",
+  "unmet": {
+   "free_throw_scored": false
+  }
+ },
+ "summary_zh": "评分采用最后一次现场回合：机器人双手持球并下移后尝试上抛，但视频约 2.76 s 双手抬起时未保持住球，视频 3.12 s 球落到脚前，罚球命中最终为 0/1。控制脚本与 agent 自述支持张开双手的夹持接触设计未能承载送球动作；前五次测试不计入本次进度和现象。没有状态日志或接触力记录，无法精确核实滑脱机制，球心高度指标也未报告。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标注与视频和日志一致：最后一次现场回合中，视频约 2.76 s 双手上抬而球向下脱离，3.12 s 落到脚前，罚球命中未达成；断点、现象（没保持住）与根因（抓取和接触设计，推断）有据，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:22Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--waqmafq/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--waqmafq/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "bc1e196d697527c33aae6c4de116584b8fcf849bbcb28d646dfdb33b99af20f1",
+   "video_sha256": "892dc231939729f6fb43c15e84354574e0a9c42126e1f7f65c0271fac65a621b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--xxktbfx.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--xxktbfx.json
new file mode 100644
index 0000000000000000000000000000000000000000..7707a6c07a3b5509b05140ba41d8829fdddecb61
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--xxktbfx.json
@@ -0,0 +1,189 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-standard--xxktbfx",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 160,
+   "sim_steps": 659,
+   "calls": 23,
+   "rows": 645,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 553.9,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.273,
+   "peak_processes": 8,
+   "peak_disk_gb": 0.836,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-standard--xxktbfx/replay.mp4",
+  "duration_s": 1.64,
+  "fps": 25.0,
+  "frames": 41,
+  "sha256": "be5b38741438f37a857cc6b8ff4b52153f5b5aff7a19ea8a061205ffb868a338"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.16,
+      "log_step": 71,
+      "text_zh": "观察：视频 0.00–0.12 s，机器人双手夹持胸前篮球并一起上抬；视频 0.16 s，球已与双手分离，随后主要向上飞行。log step 71 启动最后一局 shotfinal，log step 72 的服务返回 episode=6、control_steps=160、stages_reached=1/2、reason=failed；本视频为该最后一局，而非前五局测试的拼接。"
+     },
+     {
+      "t": 1.6,
+      "log_step": 72,
+      "text_zh": "观察：已逐帧检查视频 0.00–1.60 s；球约在视频 0.64 s 到达最高处，仍远在篮圈前方，随后在视频 1.20–1.60 s 下落，末帧落至机器人与篮架之间的地面，始终未到达篮圈。成功参考视频 1.04–1.12 s 可见球从圈上下降穿圈；本局没有这一过程，且评分字段 live_success=0。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.12 s，机器人左右张开的手从篮球两侧夹持并同时向上送球，未见任一只手合拢包住篮球；候选“夹持”，故不用抓握。视频 0.16 s 后球离手自由飞行。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.60 s，机器人双脚着地支撑躯干完成上肢投篮，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "free_throw_scored",
+   "t": 0.16,
+   "log_step": 71,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.16 s，机器人已把球向上送离双手；视频 0.64–1.60 s，球在篮圈前方达到顶点并下落至地面，全程未穿圈。log step 72 返回最后一局失败且仅达到两个原生阶段中的一个。断点为正在执行但未完成的罚球命中步骤，出手时刻为粗略导航锚点。"
+  },
+  "unmet": {
+   "free_throw_scored": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 0.64,
+    "log_step": null,
+    "evidence_zh": "观察：视频 0.16–0.64 s，篮球离开机器人双手后以上升为主，朝篮圈方向只前进较小距离；视频 1.20–1.60 s，球在篮圈前方下落至地面，未接近圈内穿越路径。投篮轨迹明显过短。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 76 所打印的最终 shotfinal 控制代码按预设关节目标和速度同步抬肩、屈伸肘，再延迟改变肩部偏航，并保持双手张开；视频 0.00–0.16 s 显示机器人执行上送并离手，但视频 0.64–1.60 s 的球路前向位移不足而落在篮圈之前。这支持投篮控制未产生合适的出手运动；现有证据不足以细分为接触设计、轨迹跟踪或某个参数错误。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；录像仅有场地视角，缺少出手瞬间的球速、手球接触力和实际关节跟踪数据，无法细分控制根因或确定毫秒级离手时间。评分记录未报告 ball_height_m，原生指标值保留 null。"
+ },
+ "summary_zh": "评分视频对应最后一次现场罚球：机器人双手上送并出球，但篮球前向位移不足，随后在篮圈前方落地，罚球命中节点始终未达成，最终为 0/1。断点在投篮操作中，现象为位姿不准，结合最终控制脚本将根因归为控制。没有状态日志或离手速度、接触力数据，无法进一步区分具体控制子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点、接触与现象（位姿不准）均与视频和服务返回（最后一局 failed，stages 1/2，control_steps 160，视频 1.64 s 对应）一致；未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:13:35Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--xxktbfx/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--xxktbfx/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ba0469307fb52db53a6d12242a823bf1b9ad88c45cbdc3cd8b0b299b3405958b",
+   "video_sha256": "be5b38741438f37a857cc6b8ff4b52153f5b5aff7a19ea8a061205ffb868a338",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--y78ah7z.json b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--y78ah7z.json
new file mode 100644
index 0000000000000000000000000000000000000000..c934ed8491044e4335979342c1c9e144f0e029f7
--- /dev/null
+++ b/phase2/embodied-olympics-fun/free_throw/trajectories/embodied-olympics-fun-free-throw-i00-standard--y78ah7z.json
@@ -0,0 +1,189 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-free-throw-i00-standard--y78ah7z",
+ "taskKey": "embodied-olympics-fun/free_throw",
+ "dag_sha256": "c2d4b07a9ca0ff585b81cafb3eecf9f2484164969c066ba3cd5ef111abe016a5",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 55,
+   "sim_steps": 315,
+   "calls": 12,
+   "rows": 315,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4918.9,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.206,
+   "peak_processes": 12,
+   "peak_disk_gb": 0.778,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-throw-i00-standard--y78ah7z/replay.mp4",
+  "duration_s": 0.56,
+  "fps": 25.0,
+  "frames": 14,
+  "sha256": "9478a299da0082c94a231f3cc61dbb7f89a8898f8e2b8c6d5dd4d069a53576f0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "free_throw_scored": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.36 s，机器人站在罚球区，左右张开的手共同夹持身前的橙色篮球；视频 0.40–0.52 s，双手和篮球向腰部下降，球没有飞向篮板或穿过篮圈。已检查全部14帧，包括末帧视频 0.52 s。"
+     },
+     {
+      "t": 0.52,
+      "log_step": 99,
+      "text_zh": "观察：log step 99 中 agent 重置后执行第六次现场回合，机器人服务返回 control_steps=55、done=True、reason=failed，原生裁判结果为“the ball was touched again after the release”，阶段1/2；log step 100 确认 episode=6、resets_left=0。此为最后受评回合；与视频中球仍在机器人身前低处、未入篮一致，罚球命中未达成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.36 s，左右张开的灵巧手从篮球两侧相向夹持，共同持球；视频 0.40–0.52 s 双手和球向下运动。候选：夹持；未见单手合拢包络篮球，抓握不适用，侧向相向夹紧也不能仅用托/舀描述。log step 99 的脚本以双手 grip=0 执行，服务记录离手后再触球，但画面不能细分再接触的具体手指。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.52 s，机器人双脚接触罚球区地面，双腿支撑躯干并配合双手持球及投篮准备动作，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "free_throw_scored",
+   "t": 0.48,
+   "log_step": 99,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.40–0.52 s，机器人正在执行双手投篮动作，双手及篮球反而向腰部下降，球未飞向篮圈；log step 99 中最后现场回合的服务结果为离手后再次触球、failed、阶段1/2，log step 100 确认回合已结束。因此失败步骤为罚球命中，视频 0.48 s 仅作失败附近的导航锚点。"
+  },
+  "unmet": {
+   "free_throw_scored": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 0.48,
+    "log_step": 99,
+    "evidence_zh": "推断：视频 0.00–0.36 s 机器人双手原本持住球，视频 0.40–0.52 s 手和球向下而未形成向篮圈的飞行；log step 99 的脚本打印计划离手为仿真 0.59 s，但机器人服务已在55个控制步内以“离手后再次触球”终止。这说明送球过程中持球接触提前中断并再次建立，未保持至计划出手；这里记录一次持球失稳，不将再触球判罚重复标为第二现象。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log steps 97–99 中 agent 用自建离线机械臂模型搜索双手推投参数，再把预计算轨迹交给机器人服务执行；离线预测球向前上方出手，但视频 0.40–0.52 s 的实际双手及球向下，且 log step 99 服务记录提前离手后再触球。送球控制未维持球与双手的连续接触。log step 103 将其解释为肩部滞后于肘部，该机制仅为 agent 自述，现有证据不足以细分控制子类。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；25 fps 的场地固定视角不能分辨毫秒级离手、再接触的先后及具体接触指节，依最后现场回合的原生服务结果确认该判罚。log step 103 所述肩关节力矩滞后和手掌下降幅度没有本回合可独立核验的关节或力矩记录，因此根因只标控制。评分器 reward 未报告 ball_height_m，原生指标值保留 null。"
+ },
+ "summary_zh": "受评的是最后一次、即第六次现场回合，罚球命中未达成，最终进度0/1。视频 0.40–0.52 s 可见机器人双手与球向下运动，log step 99 的服务记录离手后再次触球并判负，说明送球过程中未保持住篮球；根因归为控制。没有状态日志，具体接触时刻与肩肘滞后机制不能独立核实。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "受评回合为第六次现场回合，视频仅14帧(0.56 s)，所见双手持球下降、球未飞向篮圈，与 log step 99 服务结果（离手后再触球、failed、阶段1/2）一致；节点未达成、断点、接触标注和单一现象/根因均有证据支撑，未发现需修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:14:21Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--y78ah7z/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-free-throw-i00-standard--y78ah7z/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e792176461d1be57911e511254628a84127fb4def1b6403615d6a99e99b877b0",
+   "video_sha256": "9478a299da0082c94a231f3cc61dbb7f89a8898f8e2b8c6d5dd4d069a53576f0",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--4uxwkep.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--4uxwkep.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f178b6b02691b68ec05df543979d41880f45af1
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--4uxwkep.json
@@ -0,0 +1,258 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-privileged--4uxwkep",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 2872,
+   "sim_steps": 2872,
+   "horizon": 14000,
+   "episode_over": 1,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 5,
+   "fell": 0,
+   "replay_s": 26.8,
+   "bad_trajectory": 0,
+   "metric_distance_m": 13.6,
+   "metric_hurdles_cleared": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 122,
+   "agent_resets": 197,
+   "agent_replays": 0,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.087,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.247,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--4uxwkep/replay.mp4",
+  "duration_s": 28.76,
+  "fps": 25.0,
+  "frames": 719,
+  "sha256": "6be123d35ef4fff66c4240c1e46b6d7be6977efb97466d651c0b270341ae9b87"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 27.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–27.8 s，机器人沿跑道向第一栏行走；视频 27.8–28.72 s 的逐帧放大图中，机器人仍在第一栏近端贴地迈步，双腿未腾空越过横杆，视频结束前未完成第一栏。"
+     },
+     {
+      "t": 28.72,
+      "log_step": 198,
+      "text_zh": "观察：log step 198 运行最终生成脚本并重新保存轨迹，输出 2872 行动作及裁判状态 failed=went under the top of the first hurdle，最终骨盆坐标为 [13.597,0.088,1.007] 米；评分器 n_actions=2872、stages_reached=0、metric_hurdles_cleared=0，与视频中止于第一栏前的情况一致。该日志对应最终交付，不采用此前其他测试的跨栏高度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2–28.72 s，机器人双脚交替支撑红色跑道、向第一栏迈步，末段脚部仍贴近跑道；未见完成腾空越栏。全景分辨率不足以确认脚与栏杆有无瞬时接触，故不额外标碰栏或避开。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 28.72,
+      "log_step": null,
+      "text_zh": "观察：视频 0–28.72 s，机器人只从起点行进到第一栏近端，未到达或尝试第2栏；视频 28.72 s 的全景中，第2栏仍在机器人前方远处。评分器 stages_reached=0、metric_hurdles_cleared=0。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 28.72,
+      "log_step": null,
+      "text_zh": "观察：视频 0–28.72 s，机器人只从起点行进到第一栏近端，未到达或尝试第3栏；视频 28.72 s 的全景中，第3栏仍在机器人前方远处。评分器 stages_reached=0、metric_hurdles_cleared=0。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 28.72,
+      "log_step": null,
+      "text_zh": "观察：视频 0–28.72 s，机器人只从起点行进到第一栏近端，未到达或尝试第4栏；视频 28.72 s 的全景中，第4栏仍在机器人前方远处。评分器 stages_reached=0、metric_hurdles_cleared=0。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 28.72,
+      "log_step": null,
+      "text_zh": "观察：视频 28.72 s，机器人停留在第一栏处，终点白色立柱仍在画面右端远处，躯干未抵达终点；全程也未完成四栏。评分器 metric_distance_m=13.6、stages_reached=0。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 13.6
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": 0.0
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 28.6,
+   "log_step": 198,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 27.8–28.72 s，机器人在第一栏近端继续贴地迈步，未出现三点腾空越栏，随后视频结束；log step 198 最终保存的 2872 行轨迹收到裁判 went under the top of the first hurdle，评分器确认跨栏数为 0。推断：第一栏接近和起跳衔接未成功，第一栏是首次未修复的失败步骤，视频约 28.6 s 为末段贴地接近的导航锚点。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 28.6,
+    "log_step": 198,
+    "evidence_zh": "观察：视频 27.8–28.72 s，机器人双脚仍在跑道高度附近交替迈动，身体未完成跨栏腾空，也未翻倒；log step 198 最终保存轨迹的裁判状态为低于第一栏顶部穿过，评分器 fell=0。推断：迈步接近第一栏时未及时形成满足越栏高度的运动，属于步态失败。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 28.6,
+    "log_step": 180,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "观察：log step 180 的最终生成脚本先以 walk 接近第一栏、再执行 45 个停止行走指令步，之后才安排下蹲、蹬伸和收腿；log step 198 重新执行该脚本保存的最终轨迹在第一栏被裁判判为低过栏顶，最终骨盆高度为 1.007 米。视频 27.8–28.72 s 显示末段仍是贴地迈步，没有脚本预期的完整起跳过程。推断：该控制序列未能在脚部进入第一栏判定平面前衔接出有效的跨栏动作；现有记录不足以细分为制动、起跳触发或关节跟踪问题，根因保留为控制。"
+   }
+  ],
+  "gap_zh": "输入仅有低分辨率场地全景视频，无状态日志、第一栏侧视视频或成功参考视频；放大后仍无法精确确认触发低过栏顶的左右脚身份、穿面高度及有无瞬时碰栏。最终保存日志能核对判负类型，但没有该轨迹逐控制步的姿态及执行分支记录，无法判断失败发生在停止行走的哪一步或刚开始下蹲时；会话后续测试及 agent 自述的收腿饱和、后仰诊断不作为本次评分轨迹的已证实细分根因。"
+ },
+ "summary_zh": "机器人沿跑道走到第一栏，但评分轨迹末段仍在贴地迈步，最终未完成任何跨栏或冲线节点（0/5）。断点为越过第1栏：最终保存日志报告低于栏顶穿过，视频未见有效腾空越栏，判为步态失败及控制衔接不足。全景分辨率低且无状态日志，无法确定触发判负的脚及更细的控制原因，其他会话测试的腾空高度不计入本次进度。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "第1栏未越过、其余节点未达成与视频（机器人停在第一栏近端）及评分器（stages_reached=0, 13.6 m）一致；断点、步态现象与控制根因有证据且已承认细分不足。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:04:24Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
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+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--4uxwkep/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--4uxwkep/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
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+   "states_sha256": null,
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+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--7rzfysn.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--7rzfysn.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a0ba892a1a3c77a9d1a929b9cc5fc282ab655db
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--7rzfysn.json
@@ -0,0 +1,263 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-privileged--7rzfysn",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
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+  "reward": 0.0,
+  "source": "catalog",
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+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 2491,
+   "sim_steps": 2491,
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+   "episode_over": 1,
+   "progress": 0.0,
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+   "fell": 0,
+   "replay_s": 23.04,
+   "bad_trajectory": 0,
+   "metric_distance_m": 13.32,
+   "metric_hurdles_cleared": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 5,
+   "agent_resets": 0,
+   "agent_replays": 1,
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+   "resource_enforced": 0,
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+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--7rzfysn/replay.mp4",
+  "duration_s": 24.92,
+  "fps": 25.0,
+  "frames": 623,
+  "sha256": "105cba06460ef6cb044db5761e994ba402e796e757733f78fcde1799f73409b2"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 23.2,
+      "log_step": null,
+      "text_zh": "观察：视频 0–23.2 s，机器人沿红色跑道前进，在第一栏近端停下并抬起双臂；尚未越过第一栏。"
+     },
+     {
+      "t": 24.88,
+      "log_step": 139,
+      "text_zh": "观察：视频 24.4–24.88 s，机器人在第一栏前下蹲后伸展，末帧仍与第一栏重叠在近端，未见骨盆与双踝全部越栏；log step 139 对交付 trajectory.npz 的官方回放报告 stages=[]、hurdles_cleared=0，并因手、臂或躯干撞动第一栏而结束。评分字段 stages_reached=0 与画面一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0–24.4 s，机器人双脚先交替支撑红色跑道，随后在第一栏前站立、下蹲，为越第一栏做准备。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 24.8–24.88 s，机器人与第一栏的轮廓重叠；log step 139 的交付文件官方回放确认手、臂或躯干撞动第一栏。画面无法区分这三种作用端，也无法确定接触方式，故此触栏接触记未知。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 24.88,
+      "log_step": 139,
+      "text_zh": "观察：视频 0–24.88 s，机器人仅行进到第一栏并在其近端尝试起跳，未到达或越过第2栏；视频末帧第2栏仍位于机器人前方。log step 139 的交付文件官方回放 stages=[]，与此一致。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 24.88,
+      "log_step": 139,
+      "text_zh": "观察：视频 0–24.88 s，机器人仅行进到第一栏并在其近端尝试起跳，未到达或越过第3栏；视频末帧第3栏仍位于机器人前方。log step 139 的交付文件官方回放 stages=[]，与此一致。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 24.88,
+      "log_step": 139,
+      "text_zh": "观察：视频 0–24.88 s，机器人仅行进到第一栏并在其近端尝试起跳，未到达或越过第4栏；视频末帧第4栏仍位于机器人前方。log step 139 的交付文件官方回放 stages=[]，与此一致。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 24.88,
+      "log_step": 139,
+      "text_zh": "观察：视频 24.88 s，机器人仍在第一栏处，终点白色立柱远在前方，未冲线；log step 139 的交付文件官方回放 stages=[]、distance_m=13.32，评分字段也报告 metric_distance_m=13.32。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 13.32
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": 0.0
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 24.88,
+   "log_step": 139,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 24.4–24.88 s，机器人在第一栏近端下蹲并伸展，未完成越栏；log step 139 对最终交付轨迹的官方回放报告“knocked the first hurdle with a hand, an arm or the trunk”，stages=[]。这次触栏使第一栏尝试结束，之后没有修复。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "被挡/碰撞",
+    "t": 24.88,
+    "log_step": 139,
+    "evidence_zh": "观察：视频 24.8–24.88 s，机器人起跳动作仍在第一栏近端，身体轮廓与栏架重叠，未越到远端；log step 139 的官方回放明确记录手、臂或躯干撞动第一栏并判负。这里只标该碰栏事件，不把同一事件再标为违反约束。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 24.88,
+    "log_step": 138,
+    "source_zh": "日志",
+    "evidence_zh": "推断：agent 的脚本目标是抬臂后越栏（log step 135 保存的方案说明），但 log step 138 重生成最终交付轨迹、log step 139 官方回放均在同一次第一栏动作中报告上肢或躯干碰栏；视频 23.2–24.88 s 也显示抬臂、下蹲和伸展而未越栏。执行动作未能保持上身与栏架的间隙，归为控制；现有证据不能进一步区分接触几何、轨迹生成或跟踪问题。"
+   }
+  ],
+  "gap_zh": "没有状态日志或近景视角。视频全景中机器人仅占少量像素，放大视频 23–24.88 s 后仍不能确认触栏的是哪只手、哪段手臂或躯干，也不能定位精确接触帧；碰栏性质由 log step 139 的最终交付文件官方回放结果支持。缺少最终轨迹逐关节目标与实测对照，根因保留为控制，不细分子类；会话中其他候选轨迹的越栏或落地结果未计入本次进度。"
+ },
+ "summary_zh": "机器人走到第一栏近端，抬臂并开始下蹲、伸展，五个目标节点均未完成。第一栏尝试在视频约 24.88 s 因手、臂或躯干碰栏结束，交付文件的官方回放确认该判负，根因归为控制。全景分辨率低且没有状态日志，无法确认具体触栏部位或进一步区分控制子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与视频、log 一致：机器人走到第一栏近端起跳，视频约 23.5–24.9 s 内触栏结束；log id 139 的官方回放 stages=[]、knocked the first hurdle，五个节点均未达成，断点 hurdle_1_cleared、碰撞现象和控制根因均有证据，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:06:50Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--7rzfysn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--7rzfysn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e505c0da85b301282e2520b9c344ae252485c6ec48459f88fb4f205525ea3339",
+   "video_sha256": "105cba06460ef6cb044db5761e994ba402e796e757733f78fcde1799f73409b2",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--eyweelm.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--eyweelm.json
new file mode 100644
index 0000000000000000000000000000000000000000..df72952d35a0a12f4ca4c882951ab0ffbbb684f9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--eyweelm.json
@@ -0,0 +1,256 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-privileged--eyweelm",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1770,
+   "sim_steps": 1770,
+   "horizon": 14000,
+   "episode_over": 1,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 5,
+   "fell": 0,
+   "replay_s": 13.19,
+   "bad_trajectory": 0,
+   "metric_distance_m": 14.0,
+   "metric_hurdles_cleared": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 156,
+   "agent_resets": 987,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.156,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.844,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--eyweelm/replay.mp4",
+  "duration_s": 17.72,
+  "fps": 25.0,
+  "frames": 443,
+  "sha256": "6330405010b51dc52950bd9394a321ebca25fc6d99b6fb4361fe6ce738621d53"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 16.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–16.8 s，机器人从起点沿跑道接近第一栏；视频 16.8–17.32 s 开始抬腿起跳，第一栏随后倾倒。"
+     },
+     {
+      "t": 17.68,
+      "log_step": 584,
+      "text_zh": "观察：视频 17.36–17.68 s，机器人在第一栏处向后翻倒，双脚没有从原横栏上方完成通过；第二至第四栏仍在前方。log step 582 明确将最后选择的试验脚本复制为最终生成器并保存轨迹；log step 584 的最终生成器裁判状态为 stages=[]、1770 步、distance_m=14.0，记录仿真 17.693 s 左脚穿面高度 0.254 m，低于所需 0.997 m，判定 went under the top of the first hurdle。该步未完成，与评分字段 metric_hurdles_cleared=0 一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；现有怎么碰条目没有腿碰击横栏。视频 17.28–17.40 s 可见机器人抬腿后第一栏倾倒，log step 584 的最终生成器裁判记录将首次移栏归于左大腿碰触（仿真 17.284 s 的 left_thigh 接触，仿真 17.305 s 的 hurdle_knocked 事件）。此前双脚交替支撑跑道助跑；碰栏后机器人向后翻倒在第一栏处，未完成越栏。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 17.68,
+      "log_step": 584,
+      "text_zh": "观察：视频全程机器人仅行进到第一栏，视频 17.68 s 在第一栏处翻倒，第二栏仍完整立在远处，机器人未到达或尝试该栏；log step 584 的最终生成器裁判状态 stages=[]，最大前进位置约 14.0 m。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 17.68,
+      "log_step": 584,
+      "text_zh": "观察：视频全程机器人仅行进到第一栏，视频 17.68 s 在第一栏处翻倒，第三栏仍完整立在远处，机器人未到达或尝试该栏；log step 584 的最终生成器裁判状态 stages=[]，最大前进位置约 14.0 m。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 17.68,
+      "log_step": 584,
+      "text_zh": "观察：视频全程机器人仅行进到第一栏，视频 17.68 s 在第一栏处翻倒，第四栏仍完整立在远处，机器人未到达或尝试该栏；log step 584 的最终生成器裁判状态 stages=[]，最大前进位置约 14.0 m。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 17.68,
+      "log_step": 584,
+      "text_zh": "观察：视频全程机器人没有到达终点，视频 17.68 s 仍在第一栏处，终点标柱远在赛道另一端；log step 584 的最终生成器裁判状态 stages=[]、distance_m=14.0，没有完成四栏或冲线。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 14.0
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": 0.0
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 17.4,
+   "log_step": 584,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 17.28–17.40 s 第一栏被机器人腿部碰倒，随后机器人向后翻转下坠，视频 17.68 s 已倒在第一栏处，双脚没有越过原横栏高度。log step 584 是 log step 582 保存的最终生成器结果，裁判记录仅骨盆通过、左脚低于横栏穿面而判负，stages=[]；第一栏此后未修复完成。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 17.4,
+    "log_step": 584,
+    "evidence_zh": "观察：视频 17.36–17.68 s，机器人收腿后躯干向后翻成近水平并落向跑道，在第一栏处倒下，未形成双足跨栏通过。log step 584 的最终生成器裁判记录在仿真 17.7 s 出现 down 事件，同时报告左脚在仿真 17.693 s 低于栏顶穿面；评分汇总 fell=0 不改变视频可见的翻倒。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：最终跳跃的腿部时序和全身姿态控制未能让双踝在腾空高位通过栏面，并在收腿后失稳。log step 543、560、575 记录最终所选脚本的构造：从行走切换为固定步数的 lowcmd 伸腿、收腿序列，并调整膝目标；log step 582 将该版本保存为最终生成器。log step 584 显示骨盆已通过而双踝仍在栏前，之后骨盆降到 0.387 m、左踝才低位穿面；视频 17.36–17.68 s 同时可见向后翻倒。证据支持控制层失败，但不足以区分轨迹、反馈或参数的具体责任。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志且视频只有远景，细小接触部位及穿面高度不能直接从像素精确量出，左大腿接触与左脚高度由最终保存生成器的原生裁判输出（log step 584）补充，未把其他重置试验作为本次进展。最后一次回放调用（log step 585–586）未返回可读结果；最终报告的哈希匹配仅为 agent 自述（log step 589）。控制根因的具体子类缺少关节跟踪误差、接触力和闭环响应记录，保持在控制层。"
+ },
+ "summary_zh": "机器人助跑到第一栏并起跳，腿部碰倒该栏，骨盆通过但双脚未完成合法穿面，最终节点完成 0/5。视频约 17.4 s 起机器人向后翻倒，最终保存生成器的裁判记录报告左脚低于横栏穿面而判负；根因支持控制层的跳跃时序及姿态控制失败。视频为远景且没有状态日志，精细接触与高度由最终生成器裁判输出补充，无法再细分控制根因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频、log step 584 的原生裁判输出一致：第1栏未越过，0/5 节点，断点在第1栏，平衡现象与控制根因均有证据支持，时钟均标明。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:07:27Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--eyweelm/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--eyweelm/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8f6ec5359c76c7943fe542c9d0352d3df8099c0106a724f3b0fdc6ad06449cad",
+   "video_sha256": "6330405010b51dc52950bd9394a321ebca25fc6d99b6fb4361fe6ce738621d53",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wcmbzow.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wcmbzow.json
new file mode 100644
index 0000000000000000000000000000000000000000..2d81a15d71f9295ed55418ece36d41233496a3ce
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wcmbzow.json
@@ -0,0 +1,261 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-privileged--wcmbzow",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.2,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 4140,
+   "sim_steps": 4140,
+   "horizon": 14000,
+   "episode_over": 1,
+   "progress": 0.2,
+   "stages_reached": 1,
+   "stages_total": 5,
+   "fell": 0,
+   "replay_s": 25.28,
+   "bad_trajectory": 0,
+   "metric_distance_m": 14.88,
+   "metric_hurdles_cleared": 1.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 16,
+   "agent_resets": 0,
+   "agent_replays": 1,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 5.791,
+   "peak_processes": 27,
+   "peak_disk_gb": 0.243,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wcmbzow/replay.mp4",
+  "duration_s": 41.44,
+  "fps": 25.0,
+  "frames": 1036,
+  "sha256": "70db1e510534bbae05a34a19bbf9879529e3c33d9bd5036c3350f9a51a14338f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [
+     [
+      30.9,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 30.9,
+      "log_step": 142,
+      "text_zh": "观察：视频30.5–31.1 s中机器人腾空向前越过第1栏，随后身体及双腿落在该栏远端；完成时刻约为视频30.9 s，远景精度约±0.3 s。log step 142对最终交付的4140行轨迹进行新进程回放，裁判阶段为[\"hurdle 1\"]；run.json的metric_hurdles_cleared=1、stages_reached=1，与视频相符。"
+     },
+     {
+      "t": 31.4,
+      "log_step": 141,
+      "text_zh": "观察：视频31.2–31.6 s机器人在第1栏远端落地倒下，此后到视频41.4 s仍未起身。推断：本节点为越栏事件且判据不要求落地站稳，因此已完成的第1栏记录保持为真，不因倒地删除。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触红色跑道完成助跑和起跳前支撑；视频31.0–31.6 s落地后，机器人失衡倒在跑道上，腿和躯干随后贴地。腾空穿栏期间的轻微腿栏接触在远景中无法分辨，未将其标为击打。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.4,
+      "log_step": 142,
+      "text_zh": "观察：视频31.6–41.4 s机器人倒在第1栏刚过的位置，未到达或腾空越过第2栏；视频41.4 s全景可见第2栏仍在机器人前方。log step 142对交付轨迹回放只获得hurdle 1阶段，评分器metric_hurdles_cleared=1。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.4,
+      "log_step": 142,
+      "text_zh": "观察：视频31.6–41.4 s机器人倒在第1栏刚过的位置，未到达或腾空越过第3栏；视频41.4 s全景可见第3栏仍在机器人前方。log step 142对交付轨迹回放只获得hurdle 1阶段，评分器metric_hurdles_cleared=1。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.4,
+      "log_step": 142,
+      "text_zh": "观察：视频31.6–41.4 s机器人倒在第1栏刚过的位置，未到达或腾空越过第4栏；视频41.4 s全景可见第4栏仍在机器人前方。log step 142对交付轨迹回放只获得hurdle 1阶段，评分器metric_hurdles_cleared=1。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.4,
+      "log_step": 142,
+      "text_zh": "观察：视频41.4 s机器人仍倒在第1栏后方，距画面右侧终点白线很远，后面三栏尚未越过；评分器metric_distance_m=14.88，log step 142的交付回放结果为未完成比赛、倒地过久。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 14.88
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": 1.0
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 31.3,
+   "log_step": 141,
+   "where": "操作中",
+   "evidence_zh": "观察：视频30.5–31.1 s机器人越过第1栏后，在视频31.2–31.6 s的同一次跳跃落地过程中失衡倒下，直到视频41.4 s未起身；log step 141的最终生成记录在第1栏jump结束时已显示骨盆高度0.074米，尚未开始正常走向第2栏。log step 142确认交付回放以“did not finish: down for too long”结束。推断：故障发生于第1栏跳跃的落地控制，断点归该步；其越栏事件本身已被裁判锁存，不把第2栏未达成误作首次故障。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": true,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 31.3,
+    "log_step": 142,
+    "evidence_zh": "观察：视频31.0–31.6 s机器人从第1栏上方下降后身体倾倒，躯干落到跑道上；视频32.0–41.4 s虽可见肢体动作，机器人一直没有恢复站立。log step 142的新进程交付回放给出“down for too long”。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：agent脚本采用预先搜索的分阶段关节目标与力矩执行跳跃（log step 47的rows_gen、log step 60的build_spec）；最终交付生成记录在跳跃结束即显示骨盆高度0.074米，追加站立控制后仍为0.072米（log step 141），新进程回放重现相同倒地终止（log step 142），与视频31.2–41.4 s一致。该跳跃控制完成穿栏但未能控制落地并恢复支撑，可归控制；现有证据不足以确定具体增益、接触布局或反馈环节。"
+   }
+  ],
+  "gap_zh": "没有状态日志或近景视角，视频中的机器人只有少量像素，无法精确核实三点穿面的毫秒时刻及轻微腿栏接触；第1栏合法完成由视频越栏过程与交付回放裁判阶段共同确认。agent在log step 143、147将落地失败归于步行后残留的双脚不对称，但没有交付轨迹的关节/接触记录独立验证，故只标控制而不采用该细分解释。评分器fell=0与视频可见倒地、log step 142的倒地过久终止不一致，该字段不能否定倒地。"
+ },
+ "summary_zh": "机器人在视频约30.9 s完成第1栏，最终进度为1/5，未到达后面三栏及终点。第1栏跳跃的落地控制在视频约31.3 s失衡，机器人倒地后始终未起身，交付回放确认因倒地过久结束；第1栏为锁存事件，仍保留完成记录。远景和缺少状态日志限制了轻微碰栏及具体失稳机制的判断，根因仅归控制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "第1栏约30.9 s越过、31.2–31.6 s落地倒下并一直未起身，与帧一致；断点、平衡现象、控制根因均有证据支持，未发现需改动之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:01:43Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wcmbzow/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wcmbzow/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "cbac574f528d47c1204e3a1835a7504dd898cfd312f0674c2179f19df0192b3b",
+   "video_sha256": "70db1e510534bbae05a34a19bbf9879529e3c33d9bd5036c3350f9a51a14338f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wqhudbn.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wqhudbn.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f21ccaee1e11d048a0f619e1b739896334c5ea3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wqhudbn.json
@@ -0,0 +1,298 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-privileged--wqhudbn",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 6654,
+   "sim_steps": 6654,
+   "horizon": 14000,
+   "episode_over": 0,
+   "progress": 0.6,
+   "stages_reached": 3,
+   "stages_total": 5,
+   "fell": 0,
+   "replay_s": 55.91,
+   "bad_trajectory": 0,
+   "metric_distance_m": 32.39,
+   "metric_hurdles_cleared": 3.0,
+   "metric_hurdles_down": 3.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 128,
+   "agent_resets": 0,
+   "agent_replays": 0,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 14.183,
+   "peak_processes": 39,
+   "peak_disk_gb": 1.69,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wqhudbn/replay.mp4",
+  "duration_s": 66.56,
+  "fps": 25.0,
+  "frames": 1664,
+  "sha256": "d66b400c35929816301fd432b2ec2c2288d9f6d128e5d49448c678fc8b3354a8"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 3,
+  "final": 3,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [
+     [
+      24.9,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 24.9,
+      "log_step": null,
+      "text_zh": "观察：视频 24.64–25.16 s，机器人在第1栏前起跳、收腿，从该栏原位置上方向前通过，栏架随腿部经过而向前倾倒；视频 25.2–25.76 s，机器人在栏后落地并恢复直立。"
+     },
+     {
+      "t": 24.9,
+      "log_step": 280,
+      "text_zh": "推断：评分器 reward.metric_hurdles_cleared=3、stages_reached=3，结合视频中按序发生的三次跨越，确认第1栏被接受，完成时刻取视频约 24.9 s。log step 280 的后续会话测试保留了相同前三栏事件前缀，但其继续走到第四栏的部分不在交付视频中。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；机器人腾空越过第1栏时腿部碰击顶横杆，栏随后倾倒，不能标为避开。现有怎么碰条目没有击打；起跳前及落地后双脚先后支撑红色跑道。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [
+     [
+      43.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 43.8,
+      "log_step": null,
+      "text_zh": "观察：视频 43.48–44.08 s，机器人在第2栏前起跳、收腿，从该栏原位置上方向前通过，栏架随腿部经过而向前倾倒；视频 44.12–44.68 s，机器人在栏后落地并恢复直立。"
+     },
+     {
+      "t": 43.8,
+      "log_step": 280,
+      "text_zh": "推断：评分器 reward.metric_hurdles_cleared=3、stages_reached=3，结合视频中按序发生的三次跨越，确认第2栏被接受，完成时刻取视频约 43.8 s。log step 280 的后续会话测试保留了相同前三栏事件前缀，但其继续走到第四栏的部分不在交付视频中。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；机器人腾空越过第2栏时腿部碰击顶横杆，栏随后倾倒，不能标为避开。现有怎么碰条目没有击打；起跳前及落地后双脚先后支撑红色跑道。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [
+     [
+      62.7,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 62.7,
+      "log_step": null,
+      "text_zh": "观察：视频 62.32–63.08 s，机器人在第3栏前起跳、收腿，从该栏原位置上方向前通过，栏架随腿部经过而向前倾倒；视频 63.12–63.68 s，机器人在栏后落地并恢复直立。"
+     },
+     {
+      "t": 62.7,
+      "log_step": 280,
+      "text_zh": "推断：评分器 reward.metric_hurdles_cleared=3、stages_reached=3，结合视频中按序发生的三次跨越，确认第3栏被接受，完成时刻取视频约 62.7 s。log step 280 的后续会话测试保留了相同前三栏事件前缀，但其继续走到第四栏的部分不在交付视频中。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；机器人腾空越过第3栏时腿部碰击顶横杆，栏随后倾倒，不能标为避开。现有怎么碰条目没有击打；起跳前及落地后双脚先后支撑红色跑道。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 66.52,
+      "log_step": 286,
+      "text_zh": "观察：视频 63.8–66.52 s，机器人在第三栏倒架附近恢复直立并小步调整，第四栏仍在前方站立，机器人未接近其起跳点或起跳；最后一帧仍未越过第四栏。log step 278 保存三栏检查点，log step 286 检查交付动作数组为 (6654,141)，与 land3_best 的动作完全相同；评分器记录仅完成三栏。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 66.52,
+      "log_step": null,
+      "text_zh": "观察：视频 0–66.52 s，机器人依次通过前三栏，末帧仍在第三栏附近，第四栏及其后的终点均未到达；评分器 metric_distance_m=32.39、metric_hurdles_cleared=3，未出现第四栏或冲线完成。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better"
+  },
+  {
+   "name": "distance_m",
+   "value": 32.39,
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_cleared",
+   "value": 3.0,
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_down",
+   "value": 3.0,
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_4_cleared",
+   "t": null,
+   "log_step": 286,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 63.8–66.52 s 的交付尾段只含第三栏后的站立恢复和小步调整，第四栏仍远在前方，没有第四栏的接近、起跳或穿越动作。log step 278 保存三栏检查点，log step 286 确认交付文件仍等于该检查点；评分器 episode_over=0、hurdles_cleared=3。第四栏的步骤未启动，没有可定位的第四栏失误瞬间，故视频锚点留空。"
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": null,
+    "log_step": 286,
+    "evidence_zh": "观察：视频全程至 66.52 s 仅出现三次跨栏，交付在第三栏后结束，第四栏未开始尝试。log step 286 的交付检查确认动作仍为三栏文件；agent 同步自述保存结果未完成比赛。会话中第四栏测试的碰撞不属于本评分轨迹。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": null,
+    "log_step": 283,
+    "source_zh": "日志",
+    "evidence_zh": "推断：agent 的会话控制搜索尚未获得能保留第四栏原位的合法跨越动作，因而交付停留在三栏检查点。log step 283 的模拟器测试输出分别为上肢/躯干碰移第四栏、腿在栏侧低过；log step 285–286 的新测试仍报四栏全倒，log step 286 同时验证交付文件没有增加第四栏。根因来自这些具体控制试验结果，不是从未尝试或预算耗尽反推；无法确定应细分为接触设计、轨迹求解还是跟踪控制。"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 只有运行记录、视频及元数据，没有状态日志或成功示范；远景中的机器人仅占少量像素，无法独立测定双踝穿面高度、毫米级接触及精确穿面时刻，前三栏合法完成由视频顺序与评分器三栏计数共同确认，视频时间约有 0.5 s 误差。第四栏试验仅存在于会话日志，未进入交付视频；它们仅支持控制根因，不能据此给评分轨迹补记第四栏碰撞、倒地或接触。",
+  "unmet": {
+   "hurdle_1_cleared": true,
+   "hurdle_2_cleared": true,
+   "hurdle_3_cleared": true,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  }
+ },
+ "summary_zh": "观察：机器人在视频约 24.9 s、43.8 s、62.7 s 依次完成前三栏，腿碰横杆使三栏倒下，评分器确认 3/5 节点、最大前进距离 32.39 米。观察：交付在第三栏后恢复站立时结束，第四栏及冲线均未开始，断点为第四栏的首步前；推断：会话中第四栏控制试验持续出现非法碰栏或腿部穿越，未形成可交付的合法清越动作。观察：无状态日志，远景无法精确核验细微接触和穿面阈值，控制根因只得到会话日志支持。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "前三栏按序完成、第四栏未站立被越过与评分器 3/5 一致；断点为第四栏首步前、没尝试，交付动作确与三栏检查点相同（log step 286），控制根因由会话试验支持，未发现需要改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:11:23Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wqhudbn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--wqhudbn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "847d64886e2e35cb40613f8fdb004cbf1ac22df2ca2c51a0eb1c24121c2cb943",
+   "video_sha256": "d66b400c35929816301fd432b2ec2c2288d9f6d128e5d49448c678fc8b3354a8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--yygz2pr.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--yygz2pr.json
new file mode 100644
index 0000000000000000000000000000000000000000..d344eecfb8a2e4c9a7955c9c461ab58d9225451c
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-privileged--yygz2pr.json
@@ -0,0 +1,269 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-privileged--yygz2pr",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.2,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 3196,
+   "sim_steps": 3196,
+   "horizon": 14000,
+   "episode_over": 1,
+   "progress": 0.2,
+   "stages_reached": 1,
+   "stages_total": 5,
+   "fell": 0,
+   "replay_s": 20.5,
+   "bad_trajectory": 0,
+   "metric_distance_m": 14.25,
+   "metric_hurdles_cleared": 1.0,
+   "metric_hurdles_down": 1.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 1032,
+   "agent_resets": 1007,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 9.3,
+   "peak_processes": 65,
+   "peak_disk_gb": 0.983,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 1,
+   "session_log_from_monitor": 1
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--yygz2pr/replay.mp4",
+  "duration_s": 32.0,
+  "fps": 25.0,
+  "frames": 800,
+  "sha256": "8dab8e7a21ee48790882db0d23871833d014b6df272ab6b548a645d1480af93d"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [
+     [
+      21.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 21.8,
+      "log_step": 182,
+      "text_zh": "观察：视频21.2–21.8 s机器人在第1栏前起跳、收腿并向栏后通过，栏架同时向前倾倒；log step 182对最终交付trajectory.npz的独立回放输出stages=[\"hurdle 1\"]、hurdles_cleared=1，与评分器metric_hurdles_cleared=1一致。"
+     },
+     {
+      "t": 21.8,
+      "log_step": null,
+      "text_zh": "推断：结合视频21.6–21.9 s的穿栏过程和交付回放的第1栏完成记录，首次完成时间取视频约21.8 s；远景不能逐一量出骨盆、双踝穿面的高度，完成按原生裁判确认。此event不要求落地站稳，随后倒地不撤销该记录。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "推断：视频21.4–21.8 s机器人腿部通过第1栏时栏架向前倾倒，结合交付回放确认合法完成且一栏倒地，判断为腿碰击顶横杆；候选“击打”，现有how无对应值，故用其他。先由双脚支撑跑道起跳，越栏后身体落在跑道上；远景无法辨认具体哪条腿首次碰栏。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 22.0,
+      "log_step": 182,
+      "text_zh": "观察：视频21.8–22.2 s机器人在第1栏后落地倒下；视频23–31.8 s始终停留在倒下的第1栏附近，第2栏仍在远处站立，机器人没有到达或越过它。log step 182交付回放只记录hurdle 1，最大前进距离14.25 m。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频22–31.8 s机器人在第1栏后的跑道上倒卧，腿和躯干接触跑道，未恢复双足站立；这是向第2栏转场受阻时的地面接触，没有触碰第2栏。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 31.8,
+      "log_step": 182,
+      "text_zh": "观察：视频0–30 s的全景及视频31.0–31.8 s末尾画面中，机器人只前进到第1栏附近，倒地后没有再向远处第3栏推进；该栏一直站立，未发生通过。log step 182交付回放完成记录仅有hurdle 1。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 31.8,
+      "log_step": 182,
+      "text_zh": "观察：视频0–30 s的全景及视频31.0–31.8 s末尾画面中，机器人只前进到第1栏附近，倒地后没有再向远处第4栏推进；该栏一直站立，未发生通过。log step 182交付回放完成记录仅有hurdle 1。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 31.8,
+      "log_step": 182,
+      "text_zh": "观察：视频30 s全景中机器人倒在第1栏旁，距右侧终点白色立柱很远，视频31.0–31.8 s仍未起身；全程没有躯干冲线。log step 182交付回放最大距离14.25 m且只完成1栏，未出现finish阶段。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better"
+  },
+  {
+   "name": "distance_m",
+   "value": 14.25,
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_cleared",
+   "value": 1.0,
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_down",
+   "value": 1.0,
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_2_cleared",
+   "t": 21.9,
+   "log_step": 182,
+   "where": "转场",
+   "evidence_zh": "观察：视频21.8–22.2 s机器人越过第1栏后落地倒在跑道上，之后至视频31.8 s未起身，也未接近第2栏。log step 182最终交付文件回放确认第1栏已锁存完成，失败原因为did not finish: down for too long；因此断点归于继续前往第2栏的转场，保留第1栏完成值。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 21.9,
+    "log_step": 182,
+    "evidence_zh": "观察：视频21.6–22.2 s机器人收腿越栏后身体快速下降，未以双足恢复直立而倒在跑道上；视频23–31.8 s持续倒卧，未恢复支撑。log step 182最终文件回放报告down for too long。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 178的交付生成脚本在双踝过栏后用10个控制步从收腿姿态切到落地屈膝姿态，再保持6步并交回walk控制器；log step 180修正保存调用后生成该文件，log step 182和204独立回放都只完成第1栏并以持续倒地结束。与视频21.6–22.2 s未能建立站立落地、后续不能起身相符，表明跨栏后的落地与恢复控制未成功；尚不能区分轨迹本身、跟踪或模式切换的具体责任。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范；视频只有低分辨率场地远景，无法精确核实三点穿面高度、首次触栏腿及接触力，第1栏合法完成由最终文件回放和评分器计数共同确认，视频约21.8 s为近似锚点。评分器raw.fell=0与视频可见倒地及log step 182的持续倒地终止不同，未用该字段否定画面；也没有证据支持agent在log step 209所称所有合法落地都不可能，故不归因为任务或环境。",
+  "unmet": {
+   "hurdle_1_cleared": true,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  }
+ },
+ "summary_zh": "机器人在视频约21.8 s完成第1栏并碰倒该栏，最终进度为1/5；第2–4栏及终点均未到达。越过第1栏后的落地失衡使前往第2栏的转场中断，机器人一直倒卧到视频结束，交付回放确认因持续倒地终止；根因支持落地与恢复控制失败。远景与无状态日志限制了接触细节及更细控制归因。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标注与证据一致：视频时间=仿真时间（3196步=31.96 s，视频32 s），第1栏约21.8 s完成并倒栏，之后倒地至结束；断点、平衡现象和落地控制根因均有log step 182回放（stages=['hurdle 1']、down for too long）支撑，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:00:28Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--yygz2pr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-privileged--yygz2pr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b1eeb0e3b034afd97aec9803fec6622a0f73a1f1954448f006fd40157e1d581f",
+   "video_sha256": "8dab8e7a21ee48790882db0d23871833d014b6df272ab6b548a645d1480af93d",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--5rjmras.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--5rjmras.json
new file mode 100644
index 0000000000000000000000000000000000000000..130d8f77b405daf0f7d0ffacf1f482c04d7a0983
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--5rjmras.json
@@ -0,0 +1,260 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-standard--5rjmras",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 2251,
+   "sim_steps": 76375,
+   "calls": 2667,
+   "rows": 40240,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3327.3,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.307,
+   "peak_processes": 9,
+   "peak_disk_gb": 1.172,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5rjmras/replay.mp4",
+  "duration_s": 22.52,
+  "fps": 25.0,
+  "frames": 563,
+  "sha256": "891405e2137e942c9afdefda26350116b6e48034a60049dcc79960dbe25dd5af"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0 s 机器人位于起跑端，四道栏均在前方；视频 1.0–21.8 s 机器人沿跑道向第1栏行进。"
+     },
+     {
+      "t": 22.32,
+      "log_step": null,
+      "text_zh": "观察：视频 21.92–22.48 s 机器人在第1栏近端屈腿、抬身后向前翻转，上身降至横杆位置并与栏架重叠碰撞；视频 22.48 s 仍在第1栏处，没有骨盆和双踝全部从栏上越到远端的完成过程。"
+     },
+     {
+      "t": null,
+      "log_step": 252,
+      "text_zh": "观察：log step 248 的脚本执行最后一次重置并尝试第1栏；log step 252–253 中 agent 自述最后回合因手、臂或躯干触栏结束，完成阶段为0/5。这是agent转述，最终服务返回文本未保留；节点未完成主要依据视频。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.0–21.8 s 机器人双脚交替接触并支撑红色跑道，接近第1栏，随后屈腿起跳。视频 22.32–22.48 s 前翻的上身与第1栏横杆处碰撞；该后续碰栏无法从远景可靠区分为手臂或躯干接触，也无法判断具体接触方式，未将其标作合法腿击或避开。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 22.48,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–22.48 s 机器人仅从起跑端移动到第1栏，末帧仍在第1栏处；第2栏始终在更远处，机器人没有到达或尝试跨越该栏。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 22.48,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–22.48 s 机器人仅从起跑端移动到第1栏，末帧仍在第1栏处；第3栏始终在更远处，机器人没有到达或尝试跨越该栏。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 22.48,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–22.48 s 机器人仅从起跑端移动到第1栏，末帧仍在第1栏处；第4栏始终在更远处，机器人没有到达或尝试跨越该栏。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 22.48,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–22.48 s 机器人只到达第1栏附近，未进入第2至第4栏段，躯干始终远离画面右侧两根白色立柱所标示的终点线，未发生冲线。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 22.3,
+   "log_step": 248,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 21.92–22.48 s 机器人正在第1栏前执行屈腿、抬身及收腿动作，身体随后前翻，上身与横杆位置相撞，未完整越过第1栏，直至视频结束也未修复；log step 248 是最后一次重置及这次跨栏控制脚本，后续没有再次重置。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "被挡/碰撞",
+    "t": 22.32,
+    "log_step": null,
+    "evidence_zh": "观察：视频 22.16–22.48 s 机器人收腿后上身向前、向下转到接近水平，身体在第1栏横杆处碰撞并停留在栏架附近，没有从横杆上方完整通过。log step 252–253 中 agent 亦自述最终裁判调用手、臂或躯干触栏规则结束回合，但该转述不能区分具体接触链接。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 248 的最终脚本在行走后切换到固定时长的屈膝、膝关节速度及力矩伸展、髋膝收腿指令，跳跃段没有根据机身姿态更新动作；log step 251 又追加更深收腿及躯干目标。视频 21.92–22.48 s 的相应动作中，机器人未能把上身保持在横杆上方，而是前翻触栏，支持跨栏全身动作控制未实现所需姿态与高度；尚不能确定具体是推蹬、收腿还是躯干补偿参数所致。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "无状态日志及成功参照视频；末段只有低分辨率全景，不能可靠区分手臂与躯干的首次触栏链接、接触力或精确穿面高度。log step 249、251、252 的服务返回文本为空，最终触栏判罚及0/5阶段记录仅由agent在log step 252–253转述；未将其他重置回合的服务读数当作本回合事实。评分器reward没有报告DAG列出的四项原生指标，均保留null；控制根因只标大类，无法确认具体失效参数。",
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  }
+ },
+ "summary_zh": "机器人沿跑道接近第1栏并尝试起跳收腿，但在视频约22.3 s 上身前翻撞到横杆，未完整越过第1栏，五个节点最终均未完成。最终脚本和视频支持跨栏全身动作控制失败；缺少状态日志，远景不足以确定具体触栏链接及失效参数，最终裁判细节仅有agent转述。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频低分辨率全景显示机器人仅到第1栏并在约22.3 s 前翻触栏，五个节点均未完成；断点、现象（被挡/碰撞）与根因（控制，停在大类）与视频、log step 251-253 一致，未发现需要改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:06:44Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5rjmras/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5rjmras/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "7574019889ea57f008d551996832bfa27e930c08cc2b304dc8a3911bc4562a82",
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+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d.json
new file mode 100644
index 0000000000000000000000000000000000000000..0d1b5bfa927afdb5688cdefcd0ddc611626828fd
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d.json
@@ -0,0 +1,277 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
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+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
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+   "elapsed_s": 1346.1,
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+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d/replay.mp4",
+  "duration_s": 20.4,
+  "fps": 25.0,
+  "frames": 510,
+  "sha256": "81a0390ee0ebf490f3ea985bbb40247b97d44502a32eb5457075704fdc5d1af0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 18.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–19.8 s 的场地全景显示机器人从起点沿跑道走向第1栏；视频 18.8 s 时机器人仍在第1栏近侧，双脚在跑道上交替支撑。"
+     },
+     {
+      "t": 20.16,
+      "log_step": null,
+      "text_zh": "观察：视频 20.08–20.36 s 逐帧可见机器人在第1栏近侧由直立转为前倾，视频约20.2 s 起身体接近水平并倒向栏架位置；脚部仍远低于横杆，结束前未见骨盆和双踝全部从栏顶上方越到远侧，机器人仍与第1栏位置重叠。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0–19.8 s，机器人双脚交替接触红色跑道，支撑身体接近第1栏；视频 20.08–20.36 s 在栏前由直立转为前倾，随后身体接近水平地倒向栏架位置。远景不能确认末段与横杆或栏架的具体接触部位，不将其标为已避开栏架。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 20.36,
+      "log_step": null,
+      "text_zh": "观察：视频 0–20.36 s 的全景中机器人最多到达第1栏近旁，未行进到第2栏，更未从其上方穿过；该栏一直在机器人前方。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 20.36,
+      "log_step": null,
+      "text_zh": "观察：视频 0–20.36 s 的全景中机器人最多到达第1栏近旁，未行进到第3栏，更未从其上方穿过；该栏一直在机器人前方。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 20.36,
+      "log_step": null,
+      "text_zh": "观察：视频 0–20.36 s 的全景中机器人最多到达第1栏近旁，未行进到第4栏，更未从其上方穿过；该栏一直在机器人前方。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 20.36,
+      "log_step": null,
+      "text_zh": "观察：视频 20.36 s 机器人停留在第1栏近旁，终点两侧的白色立柱仍远在前方；视频全程没有依次跨过四栏或躯干冲过终点的动作。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better"
+  },
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_cleared",
+   "value": null,
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_down",
+   "value": null,
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 20.16,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 19.8–20.36 s，机器人已走到第1栏近侧，随后由直立转为前倾并接近水平地倒向栏架位置；终止画面仍未出现骨盆、双踝在一次腾空中越过栏顶的结果。推断：正在进行且始终未完成的是越过第1栏，后续栏位尚未开始。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 20.2,
+    "log_step": null,
+    "evidence_zh": "观察：视频 20.08–20.36 s，机器人在第1栏近侧由直立转为明显前倾，视频约20.2 s 起身体接近水平并倒在第1栏位置，结束时仍未越过该栏。推断：该动作已失去直立平衡，属于翻倒；远景分辨率低，无法分辨身体与横杆、栏架的具体接触部位。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "观察：log step 67 的 Ctl.go 将预设关节目标序列直接提交给 lowcmd（机器人的关节目标与增益控制接口），没有调用同文件定义的 apply_fb；log step 84 的跳跃函数依次执行下蹲、伸展、收腿和着地目标，log step 96 又修改下蹲姿态及各段长度后重试，服务仍返回 episode finished; reason failed。视频 20.08–20.36 s 显示机器人在第1栏前由直立前倾至身体接近水平并翻倒，未完成越栏。agent 自述“The jump launches but pitches forward into a face-plant”（log step 62）是会话试跳的描述，仅作旁证，不是受评回合的事实；上述重试日志也不与视频逐帧对齐。推断：会话中构造、调试的跳跃控制尚不能稳定产生所需跨栏运动；不足以进一步区分起跳位置、轨迹高度和姿态反馈各自的责任，保留在控制大项。"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范；唯一评分视频为低分辨率场地远景，末段虽能判断未越过第一栏，但无法精确判定双踝穿面时刻、是否短暂腾空及身体与栏架的接触部位。reward 仅报告总体失败，未给具体裁判判负条目或四项原生指标；多次重置的会话输出不逐帧对应评分视频，因此日志中的跳跃测试只用于控制根因，不用于填写节点时间、碰栏事实或具体违规。"
+ },
+ "summary_zh": "机器人沿跑道走到第1栏近侧，随后前倾并接近水平地翻倒，视频结束仍未完成第一栏，最终完成0/5个节点。断点为越过第1栏，现象为全身失去平衡；会话中反复修改的关节跳跃控制尚未形成稳定有效的越栏动作。没有状态日志，远景不能确认具体碰栏部位和裁判判负条目，后续三栏与终点均未尝试。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点（0/5）、断点（hurdle_1_cleared，操作中）与时钟均无问题。主要问题在现象：视频 20.08–20.36 s 逐帧显示机器人在第1栏处由直立变为接近水平地倒向栏架，随后服务返回 episode finished; reason failed，这是失去支撑/翻倒，应记平衡而非步态（步态定义明确不含摔倒）。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点0/5、断点hurdle_1_cleared（操作中）、平衡现象与控制根因均与视频一致；视频20.0 s 机器人在第1栏前，20.36 s 倒伏于栏位置，其余三栏与终点未到达。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:15:06Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--5v6dy9d/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b1be7f35554e5ba18e861d0a60561dc890de1d816e62ebe58b0427e031cd051c",
+   "video_sha256": "81a0390ee0ebf490f3ea985bbb40247b97d44502a32eb5457075704fdc5d1af0",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--bvinspc.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--bvinspc.json
new file mode 100644
index 0000000000000000000000000000000000000000..b2ae0a9eb4ba1f8e4cb3f7ee3dad729de1111910
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--bvinspc.json
@@ -0,0 +1,256 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-standard--bvinspc",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 749,
+   "sim_steps": 9630,
+   "calls": 92,
+   "rows": 9630,
+   "resets": 13,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3438.0,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 2.108,
+   "peak_processes": 12,
+   "peak_disk_gb": 4.253,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--bvinspc/replay.mp4",
+  "duration_s": 7.52,
+  "fps": 25.0,
+  "frames": 188,
+  "sha256": "c40bd04bb1a690c82cc86f71be54f3675c1415992221bd4890c772b7ab78f33a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 172,
+      "text_zh": "观察：视频0.00 s机器人位于起跑线附近，第一栏仍在远处；视频0.00–7.48 s机器人仅双足行走，未到第一栏、未起跳或穿过栏面。log step 172在最后一次reset后只提交walk速度序列，未调用跨栏动作。"
+     },
+     {
+      "t": 7.48,
+      "log_step": 172,
+      "text_zh": "观察：视频7.48 s机器人仍在第一栏近端很远处，躯干保持直立；log step 172服务返回本局time_s=7.5及episode finished、reason failed。该局是最后一次reset后的评分局，不能把log step 164的另一次跳跃测试计入此局。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–7.48 s机器人用左右脚交替支撑红色跑道，向第一栏接近；全程未触及栏架，未发生越栏，不记为避开栏架。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 7.48,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–7.48 s全景中机器人始终位于第一栏近端，未接近或跨越第2栏；视频7.48 s第2栏仍在前方原位置。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 7.48,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–7.48 s全景中机器人始终位于第一栏近端，未接近或跨越第3栏；视频7.48 s第3栏仍在前方原位置。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 7.48,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–7.48 s全景中机器人始终位于第一栏近端，未接近或跨越第4栏；视频7.48 s第4栏仍在前方原位置。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 7.48,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–7.48 s机器人只在起跑线之后不远处行走，终点线及两侧白色立柱始终在画面右端远处；视频7.48 s躯干未接近或穿过终点。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 7.4,
+   "log_step": 172,
+   "where": "转场",
+   "evidence_zh": "观察：视频0.00–7.48 s机器人正在从起点向第一栏行走，尚未开始跨栏；视频6.52–7.48 s逐帧可见身体仍直立、行走位置向画面上方白线一侧偏移，结束时距第一栏仍远。log step 172为最后一次reset后的速度探测，服务在本局time_s=7.5返回failed，之后log step 173停止尝试；因此断在接近第一栏的转场，未被修复。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 7.4,
+    "log_step": 172,
+    "evidence_zh": "观察：视频0.00 s与视频7.48 s对比，机器人虽向前走了少量距离，但脚步路径向画面上方白线偏移，尚远未到第一栏；视频6.52–7.48 s机器人仍用双脚行走、躯干直立，未见跌倒。log step 172的最后一局在time_s=7.5即被服务判failed，未能完成向第一栏的行进。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 172,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 172的评分局脚本仅按预设序列提交前向速度0.15、0.25、0.30、0.35 m/s，横向速度和转向速度始终为零，cameras=[]，读取本体信息后只打印时间，没有视觉定位或路径纠偏；视频0.00–7.48 s机器人行走位置逐渐向画面上方白线偏移。结合这些指令与可见路径，归为行进控制未能维持所需路径；不能据此证明内置步行策略本身不可用，也不细分控制子类。"
+   }
+  ],
+  "gap_zh": "观察：inputs/没有状态日志或成功示范，run.json的reward未报告time_s、distance_m、hurdles_cleared、hurdles_down，故四项原生指标均留空；log step 172只打印通用failed，没有输出原生outcome规则名或骨盆位置。视频全景分辨率低，虽能看出行走路径向白线偏移，无法核实骨盆是否越过|y|=0.61米阈值及精确触发时刻；不将越出跑道写成已证实的判负原因。agent在log step 173自述摔倒及内置步行策略固有故障，但视频直到7.48 s仍显示直立，不能据该自述标平衡或任务/环境根因。"
+ },
+ "summary_zh": "评分局只从起点向第一栏行走了一小段，四次越栏及终点节点均未达到，最终进度0/5。机器人在接近第一栏时行走路径向白线一侧偏移，仍直立便被服务判负，断点为第一栏的转场，现象为步态，结合无路径纠偏的速度脚本推断为控制问题。日志自述摔倒与评分视频不符，且缺少原生判负规则名及骨盆轨迹，无法确认具体出界阈值。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频一致：评分局机器人只在起点附近行走，向画面上方白线偏移，7.48 s仍直立，0/5节点均未达成；步态+控制的归因有证据且措辞克制，未把越界或摔倒当成已证实。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:48Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--bvinspc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--bvinspc/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b647aeee41fdfbc8321228f698b83168b4a328f4f02ab0a42902d665a554ce4f",
+   "video_sha256": "c40bd04bb1a690c82cc86f71be54f3675c1415992221bd4890c772b7ab78f33a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--djygh3g.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--djygh3g.json
new file mode 100644
index 0000000000000000000000000000000000000000..de9f665eb013fd575d4bb52e5ea3d63eb0ed6f9f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--djygh3g.json
@@ -0,0 +1,250 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-standard--djygh3g",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 560,
+   "sim_steps": 560,
+   "calls": 9,
+   "rows": 105,
+   "resets": 0,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 6577.9,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.332,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.504,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--djygh3g/replay.mp4",
+  "duration_s": 5.64,
+  "fps": 25.0,
+  "frames": 141,
+  "sha256": "496041e6fbe82940eaaf704211102eadc6e100fd9beb6097323ebf162979af2e"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–2.5 s，机器人仅在起跑线附近以双足小幅前移；视频 2.84–3.12 s 躯干前倾倒向跑道，至视频 5.60 s 仍倒地。机器人始终远在第1栏近端，没有跨越其横栏平面，也未接触栏架。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人在首栏前行进时以双脚支撑红色跑道，随后失衡，躯干落到跑道上；未发生腿或躯干与第1栏的接触，未做到无接触越栏。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–5.60 s 的全景显示机器人始终留在起跑区、第1栏近端；第2栏未被机器人接近或跨越。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–5.60 s 的全景显示机器人始终留在起跑区、第1栏近端；第3栏未被机器人接近或跨越。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–5.60 s 的全景显示机器人始终留在起跑区、第1栏近端；第4栏未被机器人接近或跨越。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.6,
+      "log_step": null,
+      "text_zh": "观察：视频 5.60 s，机器人倒在起跑线附近，终点线仍在场地远端；视频全程机器人未越过任何一道栏，躯干未抵达终点。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 2.8,
+   "log_step": 53,
+   "where": "转场",
+   "evidence_zh": "观察：视频 2.64–3.12 s，机器人在起跑区向前倾倒，尚在第1栏前很远处，没有开始越栏，视频 5.60 s 仍未起身。log step 42、48、52、53 显示这一局依次执行行走、低层关节指令和零速行走，未重置；log step 223 的机器人服务状态仍为 episode 1、control_steps 560。推断：断点归于前往第1栏途中失去支撑的越过第1栏节点，后续没有完成该步或恢复前进。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 2.8,
+    "log_step": 53,
+    "evidence_zh": "观察：视频 2.72 s 机器人仍以双脚支撑，视频 2.84–3.12 s 上身持续向前倒下并落到跑道上；视频 4.68–5.60 s 机器人仍低伏在地，没有重新站起。此时未接触任何栏架。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 42 的 agent 脚本先提交 vx=0.8 的行走；log step 48 改为固定当前关节角，log step 52 又以固定站姿目标和默认增益运行低层关节控制，返回的骨盆四元数显示俯仰持续增大；log step 53 随后提交零速行走，骨盆姿态继续翻转，视频 2.84–3.12 s 同时出现向前倒地。推断：行走与固定姿态控制的切换未维持全身动态稳定，随后行走控制未能恢复支撑；证据支持控制问题，尚不足以区分增益、状态跟踪或具体反馈律的缺陷。"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范，现有全景分辨率不足以判定每个身体部位的触地顺序；控制根因可定位到实际执行的姿态切换和恢复失败，但不能确定具体参数或反馈律缺陷。原生评分器未报告 time_s、distance_m、hurdles_cleared、hurdles_down，故四项指标均留空。log step 238 是模型提供方过滤中断，log step 223 此前仍显示 done=False；该中断限制了后续恢复机会，不能宣称裁判因倒地已判负，但视频中的失衡已在中断前实际发生，故保留其物理失败标签。本地跳跃扫描仅为会话测试，不作为评分局进度。"
+ },
+ "summary_zh": "机器人在起跑区行进后于视频约 2.8–3.1 s 向前倒地，直到视频 5.60 s 仍未起身，四次越栏及终点节点均未完成。断点为前往第1栏途中的失衡，日志支持控制切换及恢复失败这一控制问题；后续本地跳跃测试未进入评分局。会话末尾出现模型提供方过滤中断，且无状态日志或具体裁判判负记录，不能将结束归因于倒地判负，也不能进一步确定控制缺陷的子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点全为未达成、断点（第1栏前转场中倒地，约视频2.8 s）、平衡现象与控制根因均与视频及日志一致；控制步数560对应视频5.6 s，倒地时刻对应log step 52的低层站姿测试，标签引用的步骤与数值核对无误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:01:47Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--djygh3g/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--djygh3g/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a146fda10c54d15609a4452e5eb0aa80752ff8e5ad42261aac7a49fbdba9a510",
+   "video_sha256": "496041e6fbe82940eaaf704211102eadc6e100fd9beb6097323ebf162979af2e",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--qpahwjd.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--qpahwjd.json
new file mode 100644
index 0000000000000000000000000000000000000000..7380a4a40ddef786065a52db053c4d1f7ceaf9fc
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--qpahwjd.json
@@ -0,0 +1,262 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-standard--qpahwjd",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 4117,
+   "sim_steps": 6231,
+   "calls": 396,
+   "rows": 848,
+   "resets": 3,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 6082.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 5.775,
+   "peak_processes": 20,
+   "peak_disk_gb": 0.651,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--qpahwjd/replay.mp4",
+  "duration_s": 41.2,
+  "fps": 25.0,
+  "frames": 1030,
+  "sha256": "a5051ff7b730f948393695e35d5ae680eeac78c9b2f8f81161fc15d21b5e786a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 32.5,
+      "log_step": 143,
+      "text_zh": "观察：视频 30.5–32.7 s，机器人在第一栏近端停止前进并做屈伸、抬臂起跳动作，未越过横栏；视频 32.8–33.3 s 机器人向后倒在跑道上，随后直到视频 41.16 s 仍在第一栏近端倒地活动，没有完成骨盆与双踝一次腾空穿面。"
+     },
+     {
+      "t": 41.16,
+      "log_step": 143,
+      "text_zh": "观察：log step 143 的现场服务返回第4次尝试结束，outcome 为“displaced the first hurdle before going over it”，stages_reached 为0；最终 control_steps=4117。该次尝试从起点前进到第一栏后倒地的顺序与视频一致。脚本打印的“hurdle 2”“hurdle 3”是循环编号，视频中机器人始终未通过第一栏，不能据此计为完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0–31.9 s 机器人双脚交替支撑跑道并走近第一栏；视频约 32.8 s 后机器人倒地，躯干与腿部接触跑道，直到视频 41.16 s 仍未起身。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "推断：候选“击打”。视频 40.0–41.16 s 机器人躯干贴地、腿脚在第一栏近端底座附近反复伸屈，结合 log step 143 裁判确认第一栏在越过前被移位，判断腿脚蹬碰了栏架；这不是避开或抓握，现有方式没有击打条目。无法分辨具体哪只脚及所碰栏架部件。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.16,
+      "log_step": 143,
+      "text_zh": "观察：视频 0–41.16 s 全景中机器人只从起点走到第一栏近端，倒地后未继续沿赛道前进，从未到达或越过第2栏；视频 41.16 s 该栏仍在机器人远前方。log step 143 的现场裁判记录 stages_reached=0，与未完成此栏一致。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.16,
+      "log_step": 143,
+      "text_zh": "观察：视频 0–41.16 s 全景中机器人只从起点走到第一栏近端，倒地后未继续沿赛道前进，从未到达或越过第3栏；视频 41.16 s 该栏仍在机器人远前方。log step 143 的现场裁判记录 stages_reached=0，与未完成此栏一致。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.16,
+      "log_step": 143,
+      "text_zh": "观察：视频 0–41.16 s 全景中机器人只从起点走到第一栏近端，倒地后未继续沿赛道前进，从未到达或越过第4栏；视频 41.16 s 该栏仍在机器人远前方。log step 143 的现场裁判记录 stages_reached=0，与未完成此栏一致。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 41.16,
+      "log_step": 143,
+      "text_zh": "观察：视频 41.16 s，机器人倒在第一栏近端，第二至第四栏和远处终点仍在前方；没有依次越过四栏或使躯干到达终点。log step 143 的现场服务以第一栏尚未越过即被移位判负，stages_reached=0。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_cleared",
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "hurdles_down",
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 32.7,
+   "log_step": 143,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 32.5–32.7 s 机器人在第一栏近端起跳后向后倾倒，视频约 32.8 s 躯干落到跑道，未越过第一栏；视频 33.0–41.16 s 始终倒地活动，没有修复该步。log step 143 现场裁判最终返回“displaced the first hurdle before going over it”、stages_reached=0。"
+  },
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 32.7,
+    "log_step": 143,
+    "evidence_zh": "观察：视频 32.5–33.0 s，机器人在第一栏前的跳跃动作中躯干后仰、失去足部支撑并向后倒地；视频 33.0–41.16 s 仍横卧在跑道上，腿脚持续活动，未重新站起或完成该栏。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "视频 / 日志",
+    "evidence_zh": "推断：log step 140 的 agent 自建仿真测试中，best_v5e 候选的 cleared=False、jump_dist=0.06，三点均未穿面；log step 143 将同一 best_v5e 用于现场第4次尝试，执行261个低层控制步的跳跃。视频 32.5–33.0 s 显示机器人没有向前越栏，反而向后倒地，说明该跨栏控制没有实现所需的推进与落地稳定。没有现场关节跟踪误差或接触力记录，不能再细分为某个参数、逆解或反馈环节。"
+   }
+  ],
+  "gap_zh": "没有状态日志，视频仅有远景且机器人像素很少：可确认倒地、未越第一栏及末段腿脚在栏架附近活动，无法直接确定移栏接触的左右脚、具体栏架部件或接触力；腿脚蹬碰栏架由前后画面与裁判判词共同推断。log step 153 中 agent 自述“landed standing”，但视频 32.8–41.16 s 显示机器人一直倒地，以视频为准。评分 reward 未报告 DAG 所列四个原生指标，故 native_metrics 的值留 null；log step 143 的 stages_reached=0 用于核对节点结果。"
+ },
+ "summary_zh": "评分视频对应 log step 143 的第4次现场尝试：机器人走近第一栏，但五个目标节点均未完成。机器人在视频约 32.7 s 的第一栏跳跃中向后失衡倒地，此后未起身，现场裁判最终以越过前移开第一栏判负；证据支持跨栏控制失败。远景分辨率与缺少状态日志限制了具体移栏接触及控制子原因的判断，agent 自述落地站稳与视频不符。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频 41.16 s 与 log step 143 的 sim_t 41.17 一致，是第4次现场尝试；机器人在约 32.7 s 起跳后向后倒地，未越第一栏，五个节点均 false，断点 hurdle_1_cleared、平衡现象与控制根因均有帧和日志支持，未发现需改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:06:58Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--qpahwjd/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--qpahwjd/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d0acdc30ca87d36446b547e361787971ecf904a843d26763e3c595f8d7dddae9",
+   "video_sha256": "a5051ff7b730f948393695e35d5ae680eeac78c9b2f8f81161fc15d21b5e786a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--sownetm.json b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--sownetm.json
new file mode 100644
index 0000000000000000000000000000000000000000..5d755d232d69d148262311881044d2944dd802ea
--- /dev/null
+++ b/phase2/embodied-olympics-fun/hurdles_freestanding/trajectories/embodied-olympics-fun-hurdles-freestanding-i00-standard--sownetm.json
@@ -0,0 +1,261 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-hurdles-freestanding-i00-standard--sownetm",
+ "taskKey": "embodied-olympics-fun/hurdles_freestanding",
+ "dag_sha256": "631f06ede76d388c24511754cca206280db214cee4838b8a909aa9aebd7ae56e",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 2534,
+   "sim_steps": 47631,
+   "calls": 4486,
+   "rows": 24488,
+   "resets": 23,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7154.9,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 29.672,
+   "peak_processes": 41,
+   "peak_disk_gb": 0.734,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "over_memory_gb": 1
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--sownetm/replay.mp4",
+  "duration_s": 25.36,
+  "fps": 25.0,
+  "frames": 634,
+  "sha256": "89b865777e3b2c2f2004ea4bf5de3af8a2f9cfa23a2402fb41a997d81408ea49"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 5,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "hurdle_1_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 23.0,
+      "log_step": null,
+      "text_zh": "观察：视频0–23.0 s的全景与跑道裁切显示机器人由起跑处沿跑道走向第1栏，仍在该栏近端；视频24.4–25.32 s逐帧显示机器人在栏前屈腿、身体翻倒并与栏架重叠，未见骨盆和双踝腾空越过横栏。"
+     },
+     {
+      "t": 25.32,
+      "log_step": 1091,
+      "text_zh": "观察：log step 1088启动最后第24局，log step 1091中机器人服务返回episode=24、control_steps=2534、sim_time_s=25.34、stages_reached=0，原生裁判outcome为“knocked the first hurdle with a hand, an arm or the trunk”（手、臂或躯干碰移第1栏）。这与视频末尾在第1栏前倒下的场景相符；此前重置局及离线测试不计入本轨迹。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0–24.6 s机器人双足交替支撑红色跑道，接近第1栏并在栏前准备动作；未实现从栏上方避开通过。"
+     },
+     {
+      "who": "未知",
+      "how": "其他",
+      "note_zh": "观察：视频24.8–25.32 s机器人失稳跌向第1栏；log step 1091的本局裁判确认手、臂或躯干撞移该栏。候选：击打（跌倒造成的撞击）；现有推/扫、压/擦或支撑不能准确描述这次跌撞。远景无法在手、臂与躯干之间辨清实际触栏部位，故who记未知，不虚构双臂协作。"
+     }
+    ]
+   },
+   "hurdle_2_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 25.32,
+      "log_step": 1091,
+      "text_zh": "观察：视频0–25.32 s机器人始终在第1栏近端活动，末尾倒在第1栏处，第2栏仍在更远处，机器人未到达或尝试越过它；log step 1091的最后第24局服务结果为stages_reached=0。"
+     }
+    ]
+   },
+   "hurdle_3_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 25.32,
+      "log_step": 1091,
+      "text_zh": "观察：视频0–25.32 s机器人始终在第1栏近端活动，末尾倒在第1栏处，第3栏仍在更远处，机器人未到达或尝试越过它；log step 1091的最后第24局服务结果为stages_reached=0。"
+     }
+    ]
+   },
+   "hurdle_4_cleared": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 25.32,
+      "log_step": 1091,
+      "text_zh": "观察：视频0–25.32 s机器人始终在第1栏近端活动，末尾倒在第1栏处，第4栏仍在更远处，机器人未到达或尝试越过它；log step 1091的最后第24局服务结果为stages_reached=0。"
+     }
+    ]
+   },
+   "torso_at_finish": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 25.32,
+      "log_step": 1091,
+      "text_zh": "观察：视频25.32 s机器人倒在第1栏附近，终点白线仍在跑道远端；全段未越过四栏，也未使躯干抵达终点。log step 1091的最后第24局裁判已在第1栏以失败结束，stages_reached=0。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "time_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 140,
+   "direction": "lower_better"
+  },
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_cleared",
+   "value": null,
+   "unit": "count",
+   "threshold": 4,
+   "direction": "higher_better"
+  },
+  {
+   "name": "hurdles_down",
+   "value": null,
+   "unit": "count",
+   "threshold": null,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "hurdle_1_cleared",
+   "t": 24.8,
+   "log_step": 1091,
+   "where": "操作中",
+   "evidence_zh": "观察：视频24.4–24.7 s机器人在第1栏前动作，视频约24.8 s身体迅速倾倒，视频25.0–25.32 s倒向并压入栏架，未完成越栏且没有恢复。log step 1091中本局服务报告完成阶段为0，裁判因手、臂或躯干碰移第1栏而终止；断点为正在尝试的越过第1栏。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 24.8,
+    "log_step": 1091,
+    "evidence_zh": "观察：视频24.72–24.84 s机器人从栏前近直立姿态快速翻成接近横卧，视频25.0–25.32 s身体低伏于第1栏处，未重新站起。log step 1091的本局末态读数为骨盆俯仰约41.1度、横滚约62.5度，裁判记录上身碰移第1栏；这是失衡倒下过程。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 1074将跨栏动作设置为蹬伸、前后腿分开及躯干旋转的关节关键帧，log step 1085–1088仅改回跑道像素目标后运行该脚本于最后第24局；视频24.4–25.32 s的实际执行未产生稳定越栏，而是在栏前失稳倒向横栏。结合log step 1091的末态大幅俯仰、横滚及裁判上身碰栏记录，可归因于该跨栏动作的控制未维持全身稳定；尚不能区分轨迹本身、跟踪或反馈环节。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志，视频仅有远景，放大仍不能区分撞移第1栏的具体手、臂或躯干部位，也不能核实瞬时接触力和各关节跟踪误差；因此接触的who记未知，控制根因不细分。inputs/run.json的reward未报告DAG所列四项原生指标，其value均留null；本局阶段为0另由log step 1091的服务结果确认。",
+  "unmet": {
+   "hurdle_1_cleared": false,
+   "hurdle_2_cleared": false,
+   "hurdle_3_cleared": false,
+   "hurdle_4_cleared": false,
+   "torso_at_finish": false
+  }
+ },
+ "summary_zh": "本次评分轨迹为最后第24局：机器人沿跑道接近第1栏，五个节点均未完成。视频约24.8 s机器人在栏前失衡倒下，末尾碰移第1栏，log step 1091的本局裁判确认上身碰栏判负、完成阶段为0，根因归为跨栏动作控制失稳。没有状态日志，远景无法辨清具体触栏部位或进一步确定控制子因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "五个节点均未完成、断点在第1栏、平衡跌倒与控制根因均有视频和log step 1091的服务读数（outcome、stages_reached=0、俯仰/横滚）支持；未发现需改内容的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:08:47Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--sownetm/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-hurdles-freestanding-i00-standard--sownetm/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "456da059657ac7193e6b8e4cf20c13bb464b653048182da560a0b322580a99e2",
+   "video_sha256": "89b865777e3b2c2f2004ea4bf5de3af8a2f9cfa23a2402fb41a997d81408ea49",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--hbtgfuu.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--hbtgfuu.json
new file mode 100644
index 0000000000000000000000000000000000000000..8575ee28b6c8574d73cf59f7ba6c511f36a4957e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--hbtgfuu.json
@@ -0,0 +1,192 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-privileged--hbtgfuu",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1034,
+   "sim_steps": 1034,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 12.76,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.429,
+   "metric_mark_m": 1.252,
+   "metric_rise_m": 0.077,
+   "metric_takeoff_x_m": -0.239,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 907,
+   "agent_resets": 41,
+   "agent_replays": 9,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 5.078,
+   "peak_processes": 25,
+   "peak_disk_gb": 0.243,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-privileged--hbtgfuu/replay.mp4",
+  "duration_s": 10.36,
+  "fps": 25.0,
+  "frames": 259,
+  "sha256": "1ed9dba9958cc9b4cd2939e6747ff199bd4e5411e9fc22486875c065d0bf0c9a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      10.32,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.88,
+      "log_step": null,
+      "text_zh": "观察：视频 6.5–7.88 s，机器人从画面左侧沿红色跑道向白色起跳线奔跑，双脚交替支撑；视频 7.88–8.32 s，机器人从白线后跃出，身体向前翻转并跨越白线至黄色沙坑之间的红色间隔。"
+     },
+     {
+      "t": 8.36,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 8.20–8.40 s，机器人倒转着接近黄色沙坑近沿，约视频 8.3 s 头部附近首先到达沙面；视频 8.40–9.24 s，机器人继续翻落，躯干落在沙坑内。远景不能分辨首次接触的精确物理时刻。"
+     },
+     {
+      "t": 10.32,
+      "log_step": 155,
+      "text_zh": "观察：视频 9.24–10.32 s，机器人仰倒于黄色沙坑内，双腿抬起，躯干持续由沙面承托，末段未见返回跑道；log step 155 对最终交付 trajectory.npz 的正式回放输出 success、progress=1.0、executed_rows=1034，指标与 inputs/run.json 的 reward 一致。"
+     },
+     {
+      "t": 10.32,
+      "log_step": 155,
+      "text_zh": "推断：视频约 8.3 s 触沙后至视频 10.32 s 的末帧约经历两秒，结合评分器 success=1、replay_success=1、deterministic=1 和 stages_reached=2/2，将包含两秒观察窗的完整跳远节点记为约视频 10.3 s 完成，时间锚点取已检查的末帧视频 10.32 s；不是在刚触沙时即记完成。评分器报告腾空 0.429 s、骨盆升高 0.077 m、落地标记 1.252 m，支持其通过微观阈值与犯规判定；无状态日志，不能由远景独立量出这些值。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 6.5–7.88 s 双脚交替承重助跑并从白线后蹬离跑道；约视频 8.3 s 前翻时头部附近首先落沙，随后躯干翻落，视频 9.24–10.32 s 背部/躯干由黄色沙面承托、双腿抬起。跑道支撑与沙坑支撑依次发生，腾空期间无外界支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.429
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.077
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": 1.252
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": -0.239
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成唯一的“跳远落入沙坑”节点：视频约 7.9 s 从白线后跃出、约 8.3 s 前翻触沙，至视频约 10.3 s 完成落地观察窗，最终进度为 1/1。评分器确认成功，腾空 0.429 s、升高 0.077 m、标记 1.252 m；规则允许前翻及躯干落沙，因此该落地姿态不构成失败。没有状态日志，且助跑前段在固定镜头外；远景无法独立核验精确接触点和微小升高，节点末端时间为结合视频与成功判定的近似值。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点跳远成功，视频约7.9 s起跳、约8.3 s触沙、10.32 s为2秒观察窗末，与帧一致；接触标注（腿/躯干·支撑）合理，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:05:04Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--hbtgfuu/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--hbtgfuu/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "1b74e11f4979b9fde3be6d6c5457c319724b2f0a032fe16c8688141666f2c314",
+   "video_sha256": "1ed9dba9958cc9b4cd2939e6747ff199bd4e5411e9fc22486875c065d0bf0c9a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--kdehfgs.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--kdehfgs.json
new file mode 100644
index 0000000000000000000000000000000000000000..619662cc7c55bfc8c547b90d239c6820681f6415
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--kdehfgs.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-privileged--kdehfgs",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 910,
+   "sim_steps": 910,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 6.37,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.418,
+   "metric_mark_m": 1.725,
+   "metric_rise_m": 0.189,
+   "metric_takeoff_x_m": -0.405,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 11,
+   "agent_resets": 0,
+   "agent_replays": 3,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.896,
+   "peak_processes": 16,
+   "peak_disk_gb": 0.241,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-privileged--kdehfgs/replay.mp4",
+  "duration_s": 9.12,
+  "fps": 25.0,
+  "frames": 228,
+  "sha256": "95a80483e85a176f8ecbe36b4075411b0d10aff7bc9a779ff3dca4b24fff031b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.64,
+      "log_step": null,
+      "text_zh": "观察：视频 6.56–6.68 s，机器人沿红色跑道向黄色沙坑跑动，在白色起跳线后以脚支撑；视频 6.72–7.04 s，机器人腾空跨过白线后的红色间隔，躯干逐渐前倾。"
+     },
+     {
+      "t": 7.08,
+      "log_step": null,
+      "text_zh": "观察：视频 7.04–7.12 s，机器人头部下降至黄色沙面并开始触沙，首次触沙约在视频 7.1 s；视频 7.20–8.32 s，机器人向前翻滚、蜷起，头部及躯干落在沙坑内。"
+     },
+     {
+      "t": 9.08,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 8.12–9.08 s，机器人保持蜷卧在黄色沙坑内，未见退回白线与沙坑之间的红色间隔或移出沙坑。"
+     },
+     {
+      "t": null,
+      "log_step": 20,
+      "text_zh": "观察：log step 19 中 agent 的生成脚本保存交付轨迹后重放成功；log step 20 的独立官方重放返回 success=true、failed=null，take-off 和 landing 两阶段均完成。inputs/run.json 的评分器字段另记录 replay_success=1、deterministic=1，air_s=0.418、rise_m=0.189、mark_m=1.725、takeoff_x_m=-0.405。"
+     },
+     {
+      "t": 9.08,
+      "log_step": 20,
+      "text_zh": "推断：结合视频约 7.1 s 首次触沙、视频 9.08 s 末帧仍处于沙坑内，以及评分器已接受完整落地，节点在约视频 9.1 s 通过首次触沙后的 2.0 s 观察窗；区间起点取已检查的末帧视频 9.08 s，时间误差约 0.1 s。腾空时长、骨盆升高和微观越线接触由评分器结果支持，远景不能独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 6.56–6.68 s，机器人脚部在红色跑道承重并蹬地；视频约 7.1 s 头部先触黄色沙坑，随后躯干落沙、翻滚并由沙面承托，至视频 9.08 s 仍在坑内。以上接触依次发生，腾空期间无支撑接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.418
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.189
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": 1.725
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": -0.405
+  }
+ ],
+ "failure": null,
+ "summary_zh": "本次交付完成“跳远落入沙坑”节点：机器人在线后起跳，约视频 7.1 s 头部先触沙，随后翻滚留在坑内，约视频 9.1 s 通过两秒落地观察窗，最终为 1/1。评分器确认成功且重放确定，落地标记为 1.725 米，腾空 0.418 秒、骨盆升高 0.189 米；头部先落沙和翻滚均为规则允许的落地方式。无状态日志，远景无法独立核实毫秒级接触与精确升高，节点验收及这些阈值依赖评分器，完成时刻约有 0.1 秒误差。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功跑，节点 long_jump_landed 的时间（约 7.1 s 首次触沙、9.08 s 通过观察窗）、contact_actual（腿/躯干 支撑）与 final=true 均与视频和评分器字段一致，无失败层，未发现需要修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:07:37Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--kdehfgs/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--kdehfgs/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "eb09aae4967d4d53f9b3430e703f40e2b153882ce21f8a413b76f67f285dbb06",
+   "video_sha256": "95a80483e85a176f8ecbe36b4075411b0d10aff7bc9a779ff3dca4b24fff031b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--lsv6te7.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--lsv6te7.json
new file mode 100644
index 0000000000000000000000000000000000000000..8c40b382100015ae751361729f94a2b6938d9491
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--lsv6te7.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-privileged--lsv6te7",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 896,
+   "sim_steps": 896,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 11.34,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.414,
+   "metric_mark_m": 2.065,
+   "metric_rise_m": 0.085,
+   "metric_takeoff_x_m": -0.057,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 18,
+   "agent_resets": 19,
+   "agent_replays": 6,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.985,
+   "peak_processes": 26,
+   "peak_disk_gb": 0.259,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-privileged--lsv6te7/replay.mp4",
+  "duration_s": 9.0,
+  "fps": 25.0,
+  "frames": 225,
+  "sha256": "bfee103302fa77b74cf19f23bdf4240a2f3a9b88103c776d41a463b8590e4d4a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      8.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.48,
+      "log_step": null,
+      "text_zh": "观察：视频6.20–6.48 s，机器人沿红色跑道向白色起跳线助跑，脚部交替承重；视频6.60–6.84 s，机器人从线后离地，身体前倾腾空跨过白线与黄色沙坑之间的红色间隔。"
+     },
+     {
+      "t": 6.96,
+      "log_step": null,
+      "text_zh": "观察：视频6.88–7.00 s，机器人上身下落至黄色沙坑并发生落沙接触，随后在视频7.04–7.50 s向前翻滚；视频8.00–8.96 s逐帧检查中，机器人始终留在沙坑内。固定远景不能独立分辨首次触沙的毫秒时刻或各手臂的细小接触。"
+     },
+     {
+      "t": 8.96,
+      "log_step": null,
+      "text_zh": "观察：inputs/run.json的评分器字段为success=1、replay_success=1、deterministic=1、stages_reached=2/2、episode_over=1；同时记录air_s=0.414、rise_m=0.085、mark_m=2.065、takeoff_x_m=-0.057。裁判接受了本次交付的起跳和落地。"
+     },
+     {
+      "t": 8.96,
+      "log_step": null,
+      "text_zh": "推断：本次视频约6.9 s首次触沙，至视频8.96 s已约经过2秒，结合评分器成功及两阶段完成，跳远节点在视频末约8.9–9.0 s通过落地观察窗；以实际检查的最后一帧视频8.96 s作为达成锚点，时间为近似值。"
+     },
+     {
+      "t": null,
+      "log_step": 118,
+      "text_zh": "观察：log step 117写入两阶段助跑、起跳、腾空和触沙后翻滚的生成脚本，log step 118运行该脚本保存交付轨迹并启动重放验证；log step 119自述已采用2.065 m配置。之后日志继续进行参数测试，未再出现改写交付生成脚本的记录；节点取值依据本次视频及评分器结果，不采用其他测试的落地成绩。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频6.20–6.48 s，机器人脚部在红色跑道承重并蹬地；视频6.60–6.84 s腾空无地面接触；视频约6.9 s起头部、躯干随落地翻滚由黄色沙坑承托，至视频8.96 s身体仍在沙坑内。前后支撑依次发生；远景无法可靠区分各手臂是否及何时单独承重。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.414
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.085
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": 2.065
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": -0.057
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成唯一节点“跳远落入沙坑”：视频约6.5 s在线后起跳、约6.9 s落沙并翻滚，至视频8.96 s通过约两秒的落地观察窗，最终进度1/1。评分器确认成功且重放确定，腾空0.414秒、升高0.085米、落地标记2.065米；落沙后的翻滚本身不违反该节点验收要求。没有状态日志，固定远景不能独立核实微观接触、精确升高及首次触沙时刻，达成时间依据可见落地过程与成功判定近似定位。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标注与视频一致：机器人约6.6 s起跳、约6.9 s落入沙坑，评分器success=1、stages 2/2，节点达成、无失败，时间钟明确，接触标注合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:21Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--lsv6te7/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--lsv6te7/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a7f906937075867861a8357cfd5dfcaa35a0b4e19520b3211010e5e73be2f9d4",
+   "video_sha256": "bfee103302fa77b74cf19f23bdf4240a2f3a9b88103c776d41a463b8590e4d4a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--mdnye4r.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--mdnye4r.json
new file mode 100644
index 0000000000000000000000000000000000000000..357d16a83a9500c50ab924bf6abfb812eb83ae88
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--mdnye4r.json
@@ -0,0 +1,190 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-privileged--mdnye4r",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 922,
+   "sim_steps": 922,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 10.1,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.469,
+   "metric_mark_m": 2.519,
+   "metric_rise_m": 0.167,
+   "metric_takeoff_x_m": -0.033,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 94,
+   "agent_resets": 39,
+   "agent_replays": 13,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-privileged--mdnye4r/replay.mp4",
+  "duration_s": 9.24,
+  "fps": 25.0,
+  "frames": 231,
+  "sha256": "6ac7f6a60b2c121740aae1941e82afc5fa9ccb3c69fccc4c2e03384549caa5b9"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.8,
+      "log_step": null,
+      "text_zh": "观察：视频 6.40–6.72 s，机器人沿红色跑道跑至白色起跳板附近；视频 6.80–7.16 s，机器人全身腾空，躯干前倾并跨过起跳线与黄色沙坑之间的红色间隔。"
+     },
+     {
+      "t": 7.24,
+      "log_step": 190,
+      "text_zh": "观察：视频 7.20–7.28 s，机器人向下伸出的手臂接触黄色沙面，随后身体翻落；视频 7.52–9.20 s，机器人侧卧于沙坑内。log step 190 的最终交付文件重放裁判记录首次触沙部位为 left_hand，stages 为 take-off、landing，success=true、failed=null；inputs/run.json 的 reward 同时给出 replay_success=1、deterministic=1、stages_reached=2。"
+     },
+     {
+      "t": 9.2,
+      "log_step": 190,
+      "text_zh": "推断：从视频约 7.2 s 的首次触沙计入节点要求的两秒观察窗，结合视频 9.20 s 片尾机器人仍在沙坑内，以及 log step 190 最终交付重放和评分器均确认成功，将完成时刻标为视频约 9.2 s，而非刚触沙时；时间精度约 0.1 s。微观腾空与升高阈值由评分器字段 metric_air_s=0.469、metric_rise_m=0.167 支持，远景不能独立精测。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 6.40–6.72 s，机器人双脚交替由红色跑道承托并蹬地起跳；视频约 7.3 s 后身体翻落至黄色沙坑，躯干由沙面承托并侧卧至片尾。"
+     },
+     {
+      "who": "手指/夹爪",
+      "how": "支撑",
+      "note_zh": "观察：视频 7.20–7.28 s，机器人向下伸出的手部先触沙承接落地；log step 190 的最终交付重放裁判明确记录 left_hand。该接触端是固定拳形垫，未形成抓握。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.469
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.167
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": 2.519
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": -0.033
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成了唯一的跳远节点：视频约 6.8 s 腾空越过红色间隔，视频约 7.2 s 手部先触沙，至视频约 9.2 s 通过两秒落地观察窗，最终进度为 1/1。评分器确认成功且重放确定，记录腾空 0.469 秒、骨盆升高 0.167 米、落地标记 2.519 米；落沙后的翻转与侧卧符合本任务允许任意身体部位触沙的验收规则，不构成失败。没有状态日志，远景无法独立核验精确接触几何和厘米级升高，故微观合法性依据评分器与最终交付重放记录，完成时刻为视频近似值。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与视频一致：约6.8 s腾空越过红色间隔，约7.2 s手部先触沙，节点于约9.2 s通过两秒观察窗，final=true，无失败层；接触（腿/躯干支撑+手部支撑）合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:09:55Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--mdnye4r/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--mdnye4r/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "fa8cd887c7d2a8fac839d43be9ff389cac03f540308601f15aed1364f814299d",
+   "video_sha256": "6ac7f6a60b2c121740aae1941e82afc5fa9ccb3c69fccc4c2e03384549caa5b9",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--ngebusk.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--ngebusk.json
new file mode 100644
index 0000000000000000000000000000000000000000..46c6581c6f11ea72e1fb2bfd39ff4d5e1c501758
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--ngebusk.json
@@ -0,0 +1,192 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-privileged--ngebusk",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 940,
+   "sim_steps": 940,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 6.2,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.492,
+   "metric_mark_m": 1.343,
+   "metric_rise_m": 0.063,
+   "metric_takeoff_x_m": -0.306,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 68,
+   "agent_resets": 0,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.253,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.254,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-privileged--ngebusk/replay.mp4",
+  "duration_s": 9.44,
+  "fps": 25.0,
+  "frames": 236,
+  "sha256": "39e8998115b3e73bd45f64f0719909625d1efe9efba21e64973b4853fdd846fe"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.4,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.8,
+      "log_step": null,
+      "text_zh": "观察：视频 5.5–6.8 s，机器人沿红色跑道向白色起跳线助跑，双脚交替支撑；视频 6.8–6.92 s，机器人在线后蹬地并抬臂。"
+     },
+     {
+      "t": 7.16,
+      "log_step": null,
+      "text_zh": "观察：视频 6.96–7.28 s，机器人身体与跑道表面分离，向黄色沙坑越过线后红色间隔；视频约 7.4 s，机器人落到沙坑近端，随后身体转为躺卧，视频 7.56–9.4 s 始终留在沙坑内。"
+     },
+     {
+      "t": 9.4,
+      "log_step": 161,
+      "text_zh": "观察：log step 160 生成交付轨迹共940个控制步；log step 161 对该文件的官方重放返回 success=true、failed=null、stages=[take-off, landing]，log step 162 的第二次重放也成功且末态哈希相同。inputs/run.json 的评分器字段同样记录 success=1、replay_success=1、deterministic=1、stages_reached=2/2，腾空0.492秒、骨盆升高0.063米、落地标记1.343米。"
+     },
+     {
+      "t": 9.4,
+      "log_step": 161,
+      "text_zh": "推断：由视频约 7.4 s 的落沙及视频 8.4–9.4 s 的连续坑内躺卧，结合 log step 161 对交付文件的完整落地阶段验收，将包含首次触沙后两秒观察窗的跳远事件完成时间标在视频约 9.4 s，而非刚落沙时；完成后按 event 节点锁存。远景不能独立量测毫米级接触和精确骨盆升高，合法性与精确指标由本次评分器结果佐证。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 5.5–6.92 s，机器人双脚在红色跑道上交替承重并蹬地起跳；腾空后，视频约 7.4 s 腿脚落入黄色沙坑，随后躯干躺在沙坑上，至视频 9.4 s 由沙坑承托。前后支撑依次发生，腾空阶段无外界支撑接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.492
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.063
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": 1.343
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": -0.306
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人从白色起跳线后跃起、越过红色间隔并落入黄色沙坑，视频约 9.4 s 通过首次触沙后的两秒观察窗，完成唯一节点（1/1）；本次评分器与交付文件的两次官方重放均判成功。视频约 7.4 s 落沙后机器人躺卧在坑内至片尾，该任务允许任意身体部位落沙且不要求站稳，因此此姿态不构成失败。没有状态日志，远景无法独立核验精确接触、0.063米骨盆升高与0.492秒腾空；这些数值采用本次评分器字段，节点时间为视频近似锚点。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点跳远成功，视频约7.4 s落沙、约9.4 s过两秒观察窗，与帧及评分器字段（success=1、stages 2/2）一致；接触标注合理，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:01:05Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--ngebusk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--ngebusk/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a5f1191d3c4c02fc207a5e8ddd801d2a96bc6ba1b2af9e00964d2bf9a2d3851e",
+   "video_sha256": "39e8998115b3e73bd45f64f0719909625d1efe9efba21e64973b4853fdd846fe",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--ubbhkiz.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--ubbhkiz.json
new file mode 100644
index 0000000000000000000000000000000000000000..18caebda7597300f35d904a09cc3996801088837
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--ubbhkiz.json
@@ -0,0 +1,192 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-privileged--ubbhkiz",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 993,
+   "sim_steps": 922,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 5.95,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.519,
+   "metric_mark_m": 1.928,
+   "metric_rise_m": 0.3,
+   "metric_takeoff_x_m": -0.51,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 122,
+   "agent_resets": 12,
+   "agent_replays": 9,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 2.665,
+   "peak_processes": 18,
+   "peak_disk_gb": 0.258,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-privileged--ubbhkiz/replay.mp4",
+  "duration_s": 9.24,
+  "fps": 25.0,
+  "frames": 231,
+  "sha256": "f642ce11e0bcfceba1c5360d15f9ddc8578d1536ecb1d4d129928c6b0a174de5"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.68,
+      "log_step": null,
+      "text_zh": "观察：视频 5.5–6.68 s，机器人沿红色跑道向白色起跳线助跑；视频 6.68 s 脚仍位于白线后方，随后蹬地，视频 6.76–7.16 s 身体腾空越过白线与沙坑前的红色间隔。"
+     },
+     {
+      "t": 7.24,
+      "log_step": null,
+      "text_zh": "观察：视频约 7.2 s，机器人双脚前伸落向黄色沙坑；视频 7.24–7.6 s 身体在沙坑内落下并翻滚，视频 8.0–9.2 s 躺在沙坑内，未见回到坑外硬地。首次触沙时刻仅能估计为视频 7.2 s 左右。"
+     },
+     {
+      "t": 9.2,
+      "log_step": 86,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=stages_total=2，air_s=0.519、rise_m=0.300、mark_m=1.928、takeoff_x_m=-0.510；log step 86 对最终交付文件重新生成并两次重放，均成功且末态哈希相同。"
+     },
+     {
+      "t": 9.2,
+      "log_step": null,
+      "text_zh": "推断：结合视频约 7.2 s 首次触沙、此后至视频 9.2 s 始终留在沙坑内的画面，以及评分器的成功和两阶段完成字段，将含首次触沙后两秒观察窗的跳远事件记为视频约 9.2 s 达成，时间误差约 0.1 s；精确腾空、骨盆升高及微观犯规判据由评分器结果确认。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 5.5–6.7 s，机器人的脚在红色跑道上交替承重并蹬地；腾空后，视频约 7.2 s 脚先落入黄色沙坑，随后腿及躯干落在沙坑内，由沙坑承托至视频 9.2 s。跑道支撑、腾空与沙坑支撑依次发生。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.519
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.3
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": 1.928
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": -0.51
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人助跑后在白线后起跳，越过红色间隔并于视频约 7.2 s 落入沙坑，随后在坑内翻滚并停留，含两秒观察窗的唯一节点于视频约 9.2 s 完成，最终为 1/1。评分器确认成功，腾空 0.519 秒、骨盆升高 0.300 米、标记 1.928 米，最终交付文件在 log step 86 两次重放成功且末态哈希相同；落沙后倒地不违背本任务验收条件。无状态日志，远景无法独立核实毫秒级接触、精确升高与所有犯规阈值，完成时刻为视频估计，微观合法性依据评分器字段。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "节点、时间（首次触沙约7.2 s+2 s窗=9.2 s）、接触标签与成功结果均与视频和评分器字段一致，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:10:47Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--ubbhkiz/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--ubbhkiz/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a196b7890f00b4146137295885131fbaef83dc52dee761612b2919a4f52ba0ea",
+   "video_sha256": "f642ce11e0bcfceba1c5360d15f9ddc8578d1536ecb1d4d129928c6b0a174de5",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--zusuca2.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--zusuca2.json
new file mode 100644
index 0000000000000000000000000000000000000000..65855413018b12b5c360ff6adace3fc057358284
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-privileged--zusuca2.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-privileged--zusuca2",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 976,
+   "sim_steps": 976,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 6.47,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.287,
+   "metric_mark_m": 1.093,
+   "metric_rise_m": 0.141,
+   "metric_takeoff_x_m": -0.186,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 700,
+   "agent_resets": 0,
+   "agent_replays": 12,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.687,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.813,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-privileged--zusuca2/replay.mp4",
+  "duration_s": 9.8,
+  "fps": 25.0,
+  "frames": 245,
+  "sha256": "590a8d4828a6e56a920f52658d2e3b1d767d8515734bc651e2e1e3ec8749b30e"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.76,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.24,
+      "log_step": null,
+      "text_zh": "观察：视频 6.24–7.12 s，机器人沿红色跑道助跑并向前跃出；视频 7.24–7.44 s，机器人在线后前翻，手端短暂触及跑道，随后头部向下接近并支撑于白色起跳板附近，双腿转到上方。"
+     },
+     {
+      "t": 7.76,
+      "log_step": null,
+      "text_zh": "观察：视频 7.48–7.72 s，机器人从倒立姿态向沙坑翻转，身体越过白线至沙坑之间的红色间隔；视频 7.76 s，脚部已落在黄色沙坑近沿内，随后腿和躯干落沙。"
+     },
+     {
+      "t": 9.76,
+      "log_step": null,
+      "text_zh": "观察：视频 7.76–8.64 s，机器人在沙坑近沿内翻滚、伸腿并躺下；视频 8.80、8.96、9.12、9.28、9.44、9.60、9.76 s，机器人保持躺在沙坑内。inputs/run.json 的评分器字段为 success=1、replay_success=1、deterministic=1、stages_reached=2/2，报告 air_s=0.287、rise_m=0.141、mark_m=1.093、takeoff_x_m=-0.186。"
+     },
+     {
+      "t": 9.76,
+      "log_step": null,
+      "text_zh": "推断：以视频约 7.76 s 首次触沙及视频 9.76 s 末帧为锚点，结合评分器确认两阶段成功，将包含触沙后两秒观察窗的跳远事件记为视频约 9.76 s 达成；远景不能独立核验毫秒级接触、精确骨盆升高和支撑点坐标，阈值通过依据评分器结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 6.24–7.12 s，双脚在红色跑道上交替支撑并蹬地；视频 7.36–7.44 s，前翻中的头部在白色起跳板附近支撑；视频约 7.76 s 后，脚、腿及躯干依次由沙坑承托，最后躺在沙中。上述接触依次发生，中间有腾空。"
+     },
+     {
+      "who": "手指/夹爪",
+      "how": "支撑",
+      "note_zh": "观察：视频 7.24–7.32 s，前翻时可见手端短暂触及红色跑道形成支撑；没有抓握物体。远景不能可靠分辨左右手及两手是否同时承重，此项仅记录可见手端支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.287
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.141
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": 1.093
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": -0.186
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成助跑、在线后前翻支撑、再次腾空并落入沙坑，视频约 7.76 s 触沙后留在坑内，约视频 9.76 s 完成两秒观察窗，跳远节点最终达成（1/1）。评分器确认成功且重放确定，记录腾空 0.287 秒、骨盆升高 0.141 米、落点标记 1.093 米；本任务允许翻转和非站立落地，因此落沙后躺倒不作为失败。没有状态日志，固定远景不能独立核验精确支撑坐标、微观接触或升高阈值，也不能可靠区分触跑道时左右手是否同时承重，相关验收结合评分器结果判断。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，唯一节点 long_jump_landed 在视频约7.76 s首次触沙，+2 s观察窗≈9.76 s达成，与评分器 success=1、stages 2/2 一致；contact_actual（腿/躯干、手端支撑）与画面相符，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:45Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--zusuca2/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-privileged--zusuca2/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "98c2cb9aebadcb1d9e71f0c3b55124fb98541d2bd44a4b92e03acca27e7257b9",
+   "video_sha256": "590a8d4828a6e56a920f52658d2e3b1d767d8515734bc651e2e1e3ec8749b30e",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--3pjgr2p.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--3pjgr2p.json
new file mode 100644
index 0000000000000000000000000000000000000000..859161eb0dfc8c32a4e0743f72a983f7af94cc8b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--3pjgr2p.json
@@ -0,0 +1,218 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-standard--3pjgr2p",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 6000,
+   "sim_steps": 59331,
+   "calls": 183,
+   "rows": 59331,
+   "resets": 25,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5265.6,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 2.711,
+   "peak_processes": 13,
+   "peak_disk_gb": 1.257,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-standard--3pjgr2p/replay.mp4",
+  "duration_s": 60.04,
+  "fps": 25.0,
+  "frames": 1501,
+  "sha256": "55c48b87f5412c386b442263155efd151022912d9a5c0883f202ac61b1f02047"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 30.5,
+      "log_step": null,
+      "text_zh": "观察：视频约28.0–31.5 s，机器人沿红色跑道向白色起跳线方向行走，仍在线后；随后未见机器人越过白线与线后红色间隔进入黄色沙坑。"
+     },
+     {
+      "t": 32.7,
+      "log_step": null,
+      "text_zh": "观察：视频32.4–33.3 s，机器人躯干倾斜加剧、双腿失去稳定支撑，翻倒至跑道近侧草地区域，身体始终位于白色起跳线后方。"
+     },
+     {
+      "t": 60.0,
+      "log_step": null,
+      "text_zh": "观察：视频34.0–60.0 s（包括最后一秒的密集帧），机器人一直倒卧在起跳线后方的跑道旁，黄色沙坑内没有机器人；未发生合法触沙后的完成事件。"
+     },
+     {
+      "t": null,
+      "log_step": 352,
+      "text_zh": "观察：log step 350记录最后一次reset及分段助跑，log step 352记录lowcmd跳跃指令和后续保持指令，机器人服务返回outcome=time、reason=failed、done=True；run.json评分字段live_success=0。该服务是agent通过Robot客户端调用的仿真机器人接口。"
+     },
+     {
+      "t": 60.0,
+      "log_step": 356,
+      "text_zh": "观察：agent在log step 356自述“落入沙坑两次、标记短约5–15厘米”，但本次视频32.7–60.0 s显示机器人倒卧在线后远离沙坑；节点按评分视频判断，不将会话测试或agent自述计为进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频28.0–32.4 s机器人双脚交替由红色跑道承重；视频约33.2 s后机器人翻倒，躯干及腿部由起跳线后方跑道旁的地面承托，直到视频60.0 s；未见身体接触黄色沙坑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "long_jump_landed",
+   "t": 32.7,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频32.4–33.3 s，机器人在跳远尝试中尚未到达白色起跳线便倾倒、翻落至跑道近侧草地；视频34.0–60.0 s始终倒卧，未进入沙坑且未修复该步。log step 352的机器人服务最终返回time / failed。"
+  },
+  "unmet": {
+   "long_jump_landed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 32.7,
+    "log_step": null,
+    "evidence_zh": "观察：视频32.4 s机器人尚以双脚站立但已明显倾斜，视频32.8–33.3 s躯干降至接近水平并翻出跑道，随后倒卧地面至视频60.0 s；这次失去支撑发生在起跳线后方，并非落入沙坑后的允许翻倒。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：视频32.4–33.3 s显示机器人在没有可见障碍阻挡的情况下由站立倾倒，未执行出通向沙坑的跳跃。log step 288的stageB脚本将停止、起身及跳跃交给关节目标序列lowcmd，log step 350–352记录最后尝试沿用该脚本并实际提交跳跃指令；结合画面，整体动作控制未能维持所需身体支撑与姿态。缺少关节跟踪和接触力数据，无法进一步确定是轨迹、反馈还是增益问题。",
+    "source_zh": "视频 / 日志"
+   }
+  ],
+  "gap_zh": "没有状态日志，无法精确核验腾空时长、骨盆升高、接触部位或控制失稳的子类；run.json未报告air_s、rise_m、mark_m、takeoff_x_m，原生指标均留null。log step 351的agent像素估计和log step 356的“已落沙、仅差几厘米”自述与评分视频中倒卧在线后的位置不符，无法据此建立精确日志动作与视频帧的对应关系；采用视频时刻定位，不将agent时间换算为视频时间，也不据此认定交付或仿真故障。"
+ },
+ "summary_zh": "机器人进行了助跑和跳远尝试，但视频约32.7 s在线后失衡，随后倒卧在跑道旁直到视频60.0 s，未跨过白线和红色间隔进入沙坑，节点最终为0/1。整体动作控制未能维持支撑与姿态；agent在log step 356所称“落沙、标记略短”与评分视频不符，按视频判定。无状态日志及原生跳跃指标，具体控制失稳机制无法细分。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频帧确认机器人在线后远处于跑道上失衡倒下，从未进入沙坑，节点未达成、断点与平衡现象成立；根因“控制”以推断标注，合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:40Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--3pjgr2p/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--3pjgr2p/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "fe1170d5e27061737f990d4ba3f194428e787f46cb18d314b025af4c4fd7debf",
+   "video_sha256": "55c48b87f5412c386b442263155efd151022912d9a5c0883f202ac61b1f02047",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi.json
new file mode 100644
index 0000000000000000000000000000000000000000..17481a8f7197c30885707e30490c276ca1b078ed
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi.json
@@ -0,0 +1,232 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-standard--5hu2vzi",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 774,
+   "sim_steps": 4649,
+   "calls": 85,
+   "rows": 2426,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 591.9,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.23,
+   "peak_processes": 6,
+   "peak_disk_gb": 0.305,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi/replay.mp4",
+  "duration_s": 7.76,
+  "fps": 25.0,
+  "frames": 194,
+  "sha256": "7cacfcd046c8b6565cbab83b87700d973818fd7f98a58c387e78aec468b4974f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.8,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–5.80 s固定侧视镜头内未见机器人；视频6.00–7.28 s机器人从画面左侧沿红色跑道向白色起跳板助跑，脚交替由跑道支撑。"
+     },
+     {
+      "t": 7.6,
+      "log_step": 105,
+      "text_zh": "观察：视频7.40–7.56 s机器人蹬伸抬臂后离地、向沙坑方向腾空前飞；视频7.60–7.72 s身体前倾、双腿拖在后方，俯身落至白色起跳板与沙坑近沿之间的红色间隔，未出现入沙后的观察过程。log step 105显示脚本重置为episode 6后执行最终控制，服务判定“touched the ground beyond the take-off line outside the sand”，stages_reached=0/2；log step 107确认episode 6以774个控制步结束。"
+     },
+     {
+      "t": 7.72,
+      "log_step": 105,
+      "text_zh": "推断：本视频的助跑、蹬地腾空和坑前触地与log step 105最终一轮及其仿真7.74 s终止结果吻合；前五轮是会话测试，不计入本轨迹进度。机器人已离地前飞，但未能跨过红色间隔，首次合法触沙及其后2秒验收未完成，故跳远落入沙坑节点从未达到。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频6.00–7.40 s机器人双脚在红色跑道上交替承重并蹬伸，随后离地前飞；视频7.60–7.72 s机器人俯身落至沙坑前的红色间隔。末段首次触地的具体身体部位在远景中不能分清，不据此增加双手支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "long_jump_landed",
+   "t": 7.6,
+   "log_step": 105,
+   "where": "操作中",
+   "evidence_zh": "观察：视频7.40–7.56 s机器人蹬地后腾空向沙坑方向飞出，视频7.60–7.72 s前倾俯身落在白色起跳板与沙坑近沿之间的红色间隔，未跨入沙坑；log step 105中最终一轮的裁判服务以“起跳线后、沙坑外触地”终止该轮，阶段为0/2，之后没有修复。"
+  },
+  "unmet": {
+   "long_jump_landed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 7.6,
+    "log_step": 105,
+    "evidence_zh": "观察：视频7.40–7.56 s机器人蹬地离开跑道、抬臂腾空前飞，视频7.60–7.72 s双腿后拖、身体前倾俯身落在沙坑近沿前的红色间隔，未见起跳前失稳翻倒；log step 105裁判判定“起跳线后、沙坑外触地”，stages_reached=0/2。推断：跳跃未跨过间隔、距离不足，按步态标注。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 101的最终脚本安排由run切换至lowcmd，依次执行预设蹬伸和空中伸腿动作；log step 105确认该脚本在最终一轮实际执行。视频7.40–7.56 s机器人确已蹬地离地、腾空前飞，随后在视频7.60–7.72 s前倾俯身触及沙坑近沿前的红色间隔；结合服务的坑外触地判定，起跳及空中姿态控制未将机体送入沙坑。现有证据不足以锁定单个力矩、增益或切换时刻错误，保留控制大类。"
+   }
+  ],
+  "gap_zh": "没有状态日志；固定远景及放大帧可见蹬地后的腾空前飞，但仍无法分辨最终首次触地的确切部位、左右手接触或精确离地时刻，不能核实精确骨盆升高和腾空时长。评分字段未报告air_s、rise_m、mark_m、takeoff_x_m，原生指标均保留null；这些缺口不影响已由末段画面及最终一轮裁判结果确认的未完成节点。"
+ },
+ "summary_zh": "本次评分对应log step 105重置后的第六轮：机器人完成助跑、蹬地离地并腾空前飞，但视频7.60–7.72 s前倾俯身落在沙坑近沿前的红色间隔，跳远落入沙坑节点未达到，最终0/1。裁判以起跳线后、沙坑外触地终止，现象为全身步态（跳跃距离不足），根因推断为起跳与空中姿态控制不足。没有状态日志，远景不能确认首次触地部位或精确腾空指标；成功参考中的入沙及后续观察过程在本次视频中未出现。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "节点未达到、断点 long_jump_landed、时间与 final=0 均正确；但视频7.4–7.7 s 显示机器人实际已蹬地腾空并向前飞出，只是飞行太短、身体前倾在沙坑近沿前红色间隔上触地，并非‘失去支撑/跌倒’，现象应为步态（跳得太短）而非平衡，证据文字也把腾空写成了‘下坠’。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达到、断点 long_jump_landed、步态现象和控制根因均与视频及 log step 105 相符；上一轮意见已落实，无新增错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:16:47Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--5hu2vzi/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ff0e832b08f9b6099a066116533e960ce54a5f294a9f7c9210b84779fbd264b3",
+   "video_sha256": "7cacfcd046c8b6565cbab83b87700d973818fd7f98a58c387e78aec468b4974f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--7m4o5j2.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--7m4o5j2.json
new file mode 100644
index 0000000000000000000000000000000000000000..6070363aa7c3482cb27d02ad3ed9d866fe9c3acb
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--7m4o5j2.json
@@ -0,0 +1,191 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-standard--7m4o5j2",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "live_success": 1,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 1017,
+   "sim_steps": 2700,
+   "calls": 2091,
+   "rows": 2700,
+   "resets": 2,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1350.0,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 3,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.609,
+   "peak_processes": 12,
+   "peak_disk_gb": 0.492,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-standard--7m4o5j2/replay.mp4",
+  "duration_s": 10.2,
+  "fps": 25.0,
+  "frames": 255,
+  "sha256": "646062809c95b40aea20ea054b77f2dc10cbd0655b79a357efb70b31979fef4a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      10.17,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.6,
+      "log_step": 59,
+      "text_zh": "观察：视频 6.0–7.6 s，G1机器人从画面左侧沿红色跑道跑向白色起跳板；视频 7.56–7.64 s 可见脚在白线后支撑，视频 7.72–7.88 s 双脚离地、屈腿并向沙坑前进。log step 59 是重置后第三次现场回合，脚步计数到757后切换直接关节控制；此前试跳不属于这段视频。"
+     },
+     {
+      "t": 8.2,
+      "log_step": null,
+      "text_zh": "观察：视频 7.92–8.12 s，机器人腾空跨过白板之后的红色间隔；视频约 8.16–8.24 s 脚部落入黄色沙坑，之后屈腿下坐，视频 8.64–10.16 s 保持蜷坐姿态，身体留在沙坑内。首次触沙的精确接触帧受远景分辨率限制。"
+     },
+     {
+      "t": 10.16,
+      "log_step": 60,
+      "text_zh": "观察：log step 60 的机器人现场服务状态明确为 episode=3、control_steps=1017、sim_time_s=10.17、done=True、reason=success、stages_reached=2/2；inputs/run.json 的评分字段 live_success=1、graded_by_live=1、infra_error=0。视频 10.16 s 末帧机器人仍位于沙坑内。"
+     },
+     {
+      "t": 10.17,
+      "log_step": 60,
+      "text_zh": "推断：log step 60 的该回合1017个控制步乘每步0.01 s，对应视频约 10.17 s，亦与视频时长10.2 s一致；log step 59 的第757个控制步对应视频 7.57 s，已在视频 7.56–7.60 s 的起跳板前落脚处核对。结合视频约 8.2 s 触沙及服务成功判定，节点在首次触沙后的2秒观察窗结束时、视频约 10.17 s 达成；完全腾空时长、骨盆升高和微观犯规阈值依据裁判验收，远景不能独立精测。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 6.0–7.7 s，机器人的脚交替支撑红色跑道并蹬地；腾空越过间隔后，视频约 8.2 s 脚部落沙，继而屈腿下坐，臀部及腿部由沙坑承托，保持至视频 10.16 s。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "第三次现场回合完成跳远落入沙坑节点（1/1）：机器人在线后蹬地腾空，视频约 8.2 s 落沙并蜷坐在坑内，裁判在视频约 10.17 s 的观察窗末判成功。前两次试跳仅是会话历史，未列为本次失败；本任务允许非站立落地。没有状态日志，远景无法独立精测微观接触与骨盆升高阈值；air_s、rise_m、mark_m、takeoff_x_m 均未由评分器报告，保留为null。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功回合，单节点 long_jump_landed 视频约10.17 s 达成，与帧（8.2 s 落沙、10.1 s 仍在坑内）及评分字段一致；contact_actual 合理，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:58Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--7m4o5j2/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--7m4o5j2/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f4fe71cf14f2a391e9429f5be57af426916068da85c6b1d4ac60c7a898bb7ccf",
+   "video_sha256": "646062809c95b40aea20ea054b77f2dc10cbd0655b79a357efb70b31979fef4a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--iqckrrg.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--iqckrrg.json
new file mode 100644
index 0000000000000000000000000000000000000000..043b0a2bcb99bc07d782fe217e8640070189656a
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--iqckrrg.json
@@ -0,0 +1,191 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-standard--iqckrrg",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "live_success": 1,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 981,
+   "sim_steps": 2693,
+   "calls": 31,
+   "rows": 2693,
+   "resets": 3,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1258.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 2.249,
+   "peak_processes": 17,
+   "peak_disk_gb": 0.874,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-standard--iqckrrg/replay.mp4",
+  "duration_s": 9.84,
+  "fps": 25.0,
+  "frames": 246,
+  "sha256": "8e93562994ef45eb9df55eb81475c003a25b82d56e604792850ea46146c0a96f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.4,
+      "log_step": 65,
+      "text_zh": "观察：视频 7.2–7.4 s 机器人沿红色跑道助跑至白色起跳板附近，以脚支撑并蹬地；视频 7.44–7.76 s 身体向前倾转，离开跑道、腾空跨过起跳线后的红色间隔。"
+     },
+     {
+      "t": 7.8,
+      "log_step": null,
+      "text_zh": "观察：视频 7.76 s 机器人头部朝下接近黄色沙坑，视频 7.80–7.84 s 头部接触沙坑近沿内侧，随后身体前翻，视频 8.0–8.4 s 躯干和腿部落入沙坑；逐帧检查视频 8.84–9.80 s，机器人一直留在沙坑近端，末帧呈侧卧蜷曲姿态。"
+     },
+     {
+      "t": 9.8,
+      "log_step": 70,
+      "text_zh": "观察：log step 70 的机器人现场服务回执为 episode=4、control_steps=981、sim_time_s=9.81、done=true、reason=success、outcome=success、stages_reached=2、stages_total=2；run.json 的评分器字段 live_success=1、graded_by_live=1、finalized=1。"
+     },
+     {
+      "t": 9.8,
+      "log_step": 70,
+      "text_zh": "推断：log step 7 报告控制周期为 0.01 s；最终第4次尝试的控制步 981×0.01=9.81 s，与视频长度 9.84 s 一致，且 log step 65 的控制步742及 log step 68 的控制步767分别对应视频约 7.42 s 的蹬地前倾及视频约 7.67 s 的腾空姿态，已用视频 7.40–7.44 s、7.64–7.68 s 核对。结合视频约 7.8 s 首次触沙及现场成功判定，将含两秒观察窗的完整跳远事件首次达成时间标为视频约 9.8 s；微观腾空及骨盆升高阈值依据裁判验收，未从远景估算精确量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 6.8–7.4 s 机器人双脚交替在红色跑道上承重、蹬地；腾空后，视频约 7.8 s 头部先接触黄色沙坑，视频 8.0–8.4 s 身体翻滚，躯干和腿部相继由沙坑承托，至视频 9.8 s 仍卧在坑内。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "本次受评轨迹为重置后的第4次尝试：机器人助跑、起跳越过红色间隔，于视频约 7.8 s 头部先触沙，翻滚后留在沙坑内；现场裁判在完整落地观察窗后判定成功，唯一节点在视频约 9.8 s 达成，最终 1/1。落沙后倒地不违背本任务验收条件，failure 保持 null，前三次会话尝试不计入本次进度。无状态日志，远景无法独立核验精确升高和微观接触，相关阈值依据现场裁判成功回执；四项原生指标未在评分器字段中报告，保留 null。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点 long_jump_landed 在视频约 9.8 s 达成、final true，与现场回执（control_steps 981×0.01=9.81 s≈视频 9.84 s，视频约 7.8 s 首次触沙 + 2 s 观察窗）一致；contact_actual 为腿/躯干·支撑，符合画面；failure 为 null 合理，时钟换算有核对说明。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:15:04Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--iqckrrg/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--iqckrrg/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "fd33a23a16403dbc0f1465c3d53bc95a07c923fca44e4dc2540310ba990645bb",
+   "video_sha256": "8e93562994ef45eb9df55eb81475c003a25b82d56e604792850ea46146c0a96f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu.json
new file mode 100644
index 0000000000000000000000000000000000000000..e24c508f603317bebf08197b875b0e09619da281
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu.json
@@ -0,0 +1,233 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-standard--ky8h9bu",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 952,
+   "sim_steps": 6317,
+   "calls": 106,
+   "rows": 3261,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4265.6,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 3,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.153,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.793,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu/replay.mp4",
+  "duration_s": 9.56,
+  "fps": 25.0,
+  "frames": 239,
+  "sha256": "ae6a00f38efc0912541971e9aef32885d049555604d84990ba294b9dc2b5a978"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 7.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0–6.5 s 的固定侧视画面内未见机器人；视频约 7.0 s 机器人从画面左侧进入，沿红色跑道远侧的绿色地面向起跳线跑去，双腿交替落地支撑。"
+     },
+     {
+      "t": 9.52,
+      "log_step": 104,
+      "text_zh": "观察：逐帧检查视频 8.4–9.52 s，机器人持续在跑道旁跑动，到白色起跳板旁仍未跃向黄色沙坑，末帧身体直立、双脚在坑外；没有触沙及落地观察窗。log step 104 的第6回合脚本输出末次位置估计 x=-0.47 m 后 ABORT x gate，未执行后续起跳命令。"
+     },
+     {
+      "t": 9.52,
+      "log_step": 106,
+      "text_zh": "观察：log step 106 的机器人服务裁判状态为 episode=6、done=True、reason=failed、stages_reached=0，outcome 为 touched the ground beyond the take-off line outside the sand（起跳线外且沙坑外触地）。该状态与视频末段未进入沙坑一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频约 7.0–9.52 s，机器人双脚交替接触红色跑道旁的绿色硬地，承重并助跑至起跳线旁；未见身体任何部位接触黄色沙坑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "long_jump_landed",
+   "t": 9.5,
+   "log_step": 104,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 7.0–9.52 s，机器人持续助跑，视频约 9.5 s 到白色起跳板旁仍未跃向沙坑。log step 104 的脚本在末段跑动后读到位置估计 x=-0.47 m 并输出 ABORT x gate；log step 105 的恢复动作被服务以 409 episode finished 拒绝，log step 106 的服务裁判状态为第6回合 done=True、reason=failed，原因为起跳线外、沙坑外触地。推断：回合在助跑末段已被越线触地终结，x gate 中止是脚本事后的门限判断，并非先中止脚本、后触发裁判。"
+  },
+  "unmet": {
+   "long_jump_landed": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 9.5,
+    "log_step": 104,
+    "evidence_zh": "观察：视频 8.0 s 及约 9.5–9.52 s，机器人身体直立，持续跑到白色起跳板旁，未见向黄色沙坑起跳或触沙；log step 106 的服务裁判状态明确报告 touched the ground beyond the take-off line outside the sand，即越过起跳线在沙坑外触地。推断：助跑末段未在合法位置及时切换起跳，形成起跳前的位置过冲；log step 104 的 x=-0.47 m 仅是 agent 脚本位置估计，不是机器人真实接触点坐标。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "反馈控制",
+    "log_step": 104,
+    "source_zh": "日志",
+    "evidence_zh": "推断：本次助跑反馈控制未限制末段前进过冲并及时切换起跳。log step 104 的伺服代码根据当前位置估计逐块提交跑动，采用 run 速度命令 2.0 m/s；输出显示后续块用于计算时长的速度估计为 1.00 m/s，多块持续约0.45 s，末块从估计 x=-1.16 m 前进到 x=-0.47 m 后才输出 ABORT x gate，未执行起跳。可见代码没有按预测终点限制每块前进量的硬上限。结合 log step 105 恢复动作收到 409 episode finished 和 log step 106 的越线触地裁判结果，回合应在末段伺服动作中已结束，脚本事后才作门限中止；此归因由代码、执行输出和裁判状态推断，不将 agent 在 log step 113 的自述单独作为事实，也不把视觉上的横向位置作为失败原因。"
+   }
+  ],
+  "gap_zh": "没有状态日志；固定远景中机器人在视频约 6.8 s 前位于画面外，无法独立恢复精确越线接触点、接触部位及骨盆升高。log step 104 的位置与速度是 agent 脚本估计，未当作真实坐标；部分代码被输入日志截断，反馈控制过冲的归因保留为推断，不据估计 y 值断言横向越界。评分器未报告本次 air_s、rise_m、mark_m、takeoff_x_m，均保留 null。"
+ },
+ "summary_zh": "本次评分为第6回合，机器人完成助跑尝试，但未起跳进入沙坑，唯一节点“跳远落入沙坑”最终为0/1。视频约 9.5–9.52 s 显示机器人跑到起跳板旁，log step 105–106 的服务响应确认回合已因越线坑外触地结束，脚本门限中止及恢复尝试均未改变结果；现象为起跳前位姿不准，根因推断为助跑反馈控制未限制过冲并及时切换起跳。无状态日志，精确接触坐标及原生指标无法量化。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "WHERE 标签（节点0/1、断点 long_jump_landed、时钟、contact_actual）与视频和 log 一致，无需改。问题在现象：步态在证据中无支持——机器人跑动稳定、未失衡，失败是助跑冲过起跳线触地（位置越线），应为位姿不准。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "第2轮：上一轮修改（步态→位姿不准、断点证据顺序）已落实；节点0/1、断点、时钟、contact_actual 与视频和 log 一致，未发现新错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:19:17Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--ky8h9bu/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c1e0c1ed95a19c826358e059dc91faf37adee18d81edf922408f767a37e65b71",
+   "video_sha256": "ae6a00f38efc0912541971e9aef32885d049555604d84990ba294b9dc2b5a978",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--si2y5gz.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--si2y5gz.json
new file mode 100644
index 0000000000000000000000000000000000000000..eb0cc6d2f0ead80d9169dbc09ad0e64a44c0d0b9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--si2y5gz.json
@@ -0,0 +1,191 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-standard--si2y5gz",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "live_success": 1,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 989,
+   "sim_steps": 989,
+   "calls": 7,
+   "rows": 989,
+   "resets": 0,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1560.9,
+   "video_rendered": 1,
+   "first_success": 1,
+   "first_reason_code": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.62,
+   "peak_processes": 7,
+   "peak_disk_gb": 0.331,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-standard--si2y5gz/replay.mp4",
+  "duration_s": 9.92,
+  "fps": 25.0,
+  "frames": 248,
+  "sha256": "eff30a94cc7d84327e2f75073d0a85152a649ffb8b9dec7311afd22726e05c61"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.89,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.44,
+      "log_step": null,
+      "text_zh": "观察：视频 7.36–7.48 s，机器人在红色跑道白色起跳线附近蹬地，随后双脚离开跑道；视频 7.52–7.80 s，机器人收腿前翻，身体与地面之间可见间隙，跨过白线后的红色间隔接近黄色沙坑。"
+     },
+     {
+      "t": 7.88,
+      "log_step": null,
+      "text_zh": "观察：视频 7.84–8.04 s，机器人身体下降至黄色沙坑并滚转，首次触沙约在视频 7.9 s；视频 8.60–9.88 s，机器人躯干落在沙坑内、双腿抬起，至最后一帧仍在沙坑中。"
+     },
+     {
+      "t": 9.89,
+      "log_step": 56,
+      "text_zh": "观察：log step 56 的现场机器人服务返回 episode=1、control_steps=989、sim_time_s=9.89、done=true、reason=success、stages_reached=2/2；inputs/run.json 的评分器字段 success=1、live_success=1、graded_by_live=1、resets=0，说明本次单一现场回合已通过落地验收。"
+     },
+     {
+      "t": 9.89,
+      "log_step": 56,
+      "text_zh": "推断：log step 3 给出控制周期 0.01 s；log step 56 的本回合 control_steps=989 对应视频约 989×0.01=9.89 s，与视频 9.88 s 的末帧及视频 7.88 s 左右触沙后约两秒的观察窗相符，故将跳远落入沙坑事件锁存于视频约 9.89 s，时间误差约 0.1 s。精确腾空时长、骨盆升高和微观越线接触由现场成功判定支持，不能从远景独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 6.0–7.4 s，机器人双脚交替接触红色跑道助跑并蹬地；视频约 7.9 s 后身体落入黄色沙坑，滚转后由躯干承托，双腿抬起至视频 9.88 s。跑道与落沙支撑依次发生，中间腾空。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成唯一节点“跳远落入沙坑”：视频约 7.4 s 蹬地腾空，约 7.9 s 落沙并滚转，至视频约 9.89 s 通过两秒观察窗，最终进度为 1/1。现场服务在 log step 56 返回 success、stages_reached=2/2，与视频中机器人留在沙坑内的终态一致；按任务规则，落沙后的倒地翻转不否定成功。无状态日志，远景无法独立核验精确接触边界及升高阈值，相关有效性依据现场裁判成功结果；评分器未报告四项原生指标数值，均保留 null，未使用 agent 本地仿真估计替代。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点“跳远落入沙坑”达成、时间（视频约9.89 s，由 log step 56 的 control_steps=989×0.01 s 与末帧相符）、contact_actual（腿/躯干·支撑）、final=1、failure=null 均与视频和评分器字段一致，未发现需改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:57Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--si2y5gz/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--si2y5gz/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9e3c11e1b1a84c8b014c662eda6459891ce3f19e804cbd9adaab7eef6a5fa8d3",
+   "video_sha256": "eff30a94cc7d84327e2f75073d0a85152a649ffb8b9dec7311afd22726e05c61",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--zn2j6vd.json b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--zn2j6vd.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b50b3a04e97fab053b6adc9c2430701ff67995b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/long_jump/trajectories/embodied-olympics-fun-long-jump-i00-standard--zn2j6vd.json
@@ -0,0 +1,208 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-long-jump-i00-standard--zn2j6vd",
+ "taskKey": "embodied-olympics-fun/long_jump",
+ "dag_sha256": "d92df0ed5053f4785ff60db27806d1b00a34d82b90e5f57dd42b6342e176c70d",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 704,
+   "sim_steps": 30620,
+   "calls": 672,
+   "rows": 16813,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 1567.6,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.458,
+   "peak_processes": 11,
+   "peak_disk_gb": 1.121,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-long-jump-i00-standard--zn2j6vd/replay.mp4",
+  "duration_s": 7.08,
+  "fps": 25.0,
+  "frames": 177,
+  "sha256": "e009018fc2cadb48c2378161630a91fc252313ff762c08c9858ea3d487e31539"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "long_jump_landed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.48,
+      "log_step": 113,
+      "text_zh": "观察：视频 5.8–6.48 s 机器人在红色跑道上向白色起跳板助跑，视频 6.52–6.88 s 蹬伸、离地并向前俯转；已实际尝试跳远。"
+     },
+     {
+      "t": 7.0,
+      "log_step": 136,
+      "text_zh": "观察：视频 6.92–7.04 s 机器人下降至黄色沙坑近沿，身体仍跨在近沿前的红色间隔上，随后录像结束，未出现触沙后的两秒验收过程；log step 136 的机器人服务状态明确为 episode 51、control_steps=704、done=True，裁判报告 touched the ground beyond the take-off line outside the sand，stages 0/2。"
+     },
+     {
+      "t": 7.04,
+      "log_step": 113,
+      "text_zh": "推断：log step 113 最后一组 V4 输出 steps=704 及同一坑外触地判负，log step 115 随后的 reset 被拒绝，log step 117、136 均确认第51局结束，因此评分视频对应 V4 而非此前其他调参局；结合末段画面及裁判原因，本节点未达成。此处视频时刻直接取自帧，未用 agent 时间换算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 5.8–6.60 s 机器人的双脚先后由红色跑道承托并蹬伸，之后身体离地向前俯转；视频约 7.0 s 在沙坑近沿前下降触地，裁判确认坑外硬地接触。远景不能精确分辨末次接触的具体身体部位。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "takeoff_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "long_jump_landed",
+   "t": 7.0,
+   "log_step": 113,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 6.64–7.04 s 机器人跃向沙坑并前俯旋转，下降时仍未完全越过起跳板与沙坑之间的红色间隔；log step 113 最后一组 V4 在704控制步因起跳线后、沙坑外触地失败。log step 136 确认该结果就是最终第51局，跳远未获验收。"
+  },
+  "unmet": {
+   "long_jump_landed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 7.0,
+    "log_step": 136,
+    "evidence_zh": "观察：视频 6.64–6.88 s 机器人离地前移，视频 6.92–7.04 s 身体降到沙坑近沿处，后部仍在红色间隔上；log step 136 裁判确认首次有效落沙前已在起跳线后的坑外硬地接触。推断：这次跳跃的飞行与身体伸展未使机器人跨过间隔就先触地，属于跳跃距离不足。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "观察：log step 94、96、99 建立的控制代码在助跑后切换到 lowcmd，以预设关节目标和前馈力矩完成蹬伸、保持及飞行姿态；log step 113 的最终 V4 采用该控制器并调整摆动腿与飞行姿态，输出坑外触地失败，704控制步与 log step 136 最终第51局一致。视频 6.52–7.04 s 显示蹬伸后前俯飞行，但在沙坑近沿前触地。推断：本次蹬伸与飞行姿态的控制配合没有产生足够的跨越距离；现有证据只能归到控制，不能锁定单一增益、力矩或触发阈值。",
+    "source_zh": "日志、视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；固定远景不能精确还原首触部位、连续腾空时长、骨盆升高及毫米级落点，裁判仅报告坑外触地和阶段数。run.json 的 reward 未给 air_s、rise_m、mark_m、takeoff_x_m，四项原生指标均保留 null；日志中 agent 自算位置和其他调参局的估计不作为本局实测指标，也不足以细分控制根因。"
+ },
+ "summary_zh": "评分视频对应最终第51局（log step 113 的 V4），机器人完成助跑并蹬伸跃向沙坑，但在视频约 7.0 s 未跨过红色间隔便触及坑外硬地，跳远节点最终为0/1。现象为跳跃距离不足的步态问题；日志与视频支持蹬伸、飞行姿态配合的控制问题，不能确定具体参数。无状态日志，精确接触、腾空和升高数值不可核验，原生指标未报告。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与视频、日志一致：节点未达成，视频约6.5 s蹬伸起跳、约7.0 s在沙坑近沿前触地，log step 113 的 V4 为 704 控制步、坑外触地判负，与最终第51局一致。断点、步态现象、控制根因均有证据且未过度细分，未发现需要修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:09:49Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--zn2j6vd/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-long-jump-i00-standard--zn2j6vd/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "32759ea1f28119cc6dc9806f8e876957c8a181809585c0a839f203b72047f8b9",
+   "video_sha256": "e009018fc2cadb48c2378161630a91fc252313ff762c08c9858ea3d487e31539",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--asvwccv.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--asvwccv.json
new file mode 100644
index 0000000000000000000000000000000000000000..c65480e8a00b2e7861cf5faae0acb4d335ff6d1b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--asvwccv.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-privileged--asvwccv",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 65,
+   "sim_steps": 65,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 3.59,
+   "bad_trajectory": 0,
+   "metric_release_height_m": 1.604,
+   "metric_release_push_fraction": -0.464,
+   "metric_release_speed_m_s": 0.08,
+   "metric_release_time_s": 0.614,
+   "metric_stance_neck_distance_m": 0.159,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 1939,
+   "agent_resets": 0,
+   "agent_replays": 4,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 61.833,
+   "peak_processes": 19,
+   "peak_disk_gb": 0.98,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "over_memory_gb": 1,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-privileged--asvwccv/replay.mp4",
+  "duration_s": 0.68,
+  "fps": 25.0,
+  "frames": 17,
+  "sha256": "e7cbef8724de960eaa7d6f500aec326ca7eca0c083554ac9ec2e37fbe6988745"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s，机器人双脚站在投掷圈内，右臂折起，铅球位于右掌上方、颈侧附近。"
+     },
+     {
+      "t": 0.64,
+      "log_step": 246,
+      "text_zh": "观察：逐帧检查视频 0.00–0.64 s 的全部 17 帧，右手仅在颈侧小幅改变姿态，球未飞向扇区，也没有首次地面接触；视频 0.60、0.64 s 的放大图中球仍在颈侧附近。log step 246 对交付的 65 行轨迹重放，裁判返回 failed=\"the shot was not put from the shoulder\"；run.json 评分器记录 release_speed_m_s=0.08、release_push_fraction=-0.464，未达到肩部向外速度分量占比至少 0.5 的要求。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "视频 0.00–0.60 s，机器人折起的右臂以开放掌垫在颈侧承托铅球；没有合手抓握，末段右掌小幅转动。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "视频 0.00–0.64 s，机器人双脚始终支撑投掷圈内地面；开局铅球同时贴靠颈侧躯干。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.64,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.64 s，机器人双脚一直在圈内原站位附近，未向后迈出投掷圈，铅球也未落地。投掷前置步骤未完成，未开始后半圈退场，开局站立不构成退场站稳。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "release_push_fraction",
+   "value": -0.464,
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 0.64,
+   "log_step": 246,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.60–0.64 s，机器人右掌在颈侧小幅调整，球没有获得朝扇区的明显飞行运动，机器人仍站在圈内。log step 175 生成并保存这条 65 行轨迹，log step 246、252 对该交付文件重放均由裁判以“the shot was not put from the shoulder”结束；run.json 同样记录 release_push_fraction=-0.464、stages_reached=0。断点属于正在执行的投掷落地步骤。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 0.64,
+    "log_step": 246,
+    "evidence_zh": "推断：视频 0.00 s 可见右掌在颈侧托球，视频 0.60–0.64 s 转掌后球仍停留在颈侧附近，未形成投掷飞行；log step 246 的交付重放裁判已经检测到离手，出手速度仅 0.08 米/秒，向外推送比例为 -0.464，并以未从肩部推出判负。结合 log step 175 的转掌动作，判断为右掌在建立有效推送前失去承托；断触的细节无法单凭远景逐帧确认。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "log_step": 175,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 175 的交付生成脚本先维持初始承托 60 个控制采样，再将掌面法向在仿真 0.03 s 内转向归一化的 [0.5,-0.3,0.81]，同时按球位计算掌心目标并施加沿当前掌面法向的前馈力矩。log step 246 对同一文件重放，裁判检测到离手时速度仅 0.08 米/秒且肩部向外推送比例为负；视频 0.60–0.64 s 也没有球向扇区飞出的动作。这支持转掌时的承托与推送接触安排未能连续承载铅球，导致尚未有效推出就断触；是否存在能完成整项任务的替代接触方案未知。"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范视频。已查看视频全部帧及右手局部放大图，但远景分辨率和颈侧遮挡使右掌与球的精确断触、滑滚方向及接触力不可独立测定；离手与非法推出由交付文件的重放裁判和评分器字段佐证，接触设计根因仍属推断。评分器未报告首次落地距离，distance_m 保留 null；会话后续试验不作为交付轨迹进度。"
+ },
+ "summary_zh": "机器人在圈内承托颈侧铅球，末段右掌小幅转动，未将球有效推出或落入扇区，两个节点均未完成，后半圈退场未开始。断点为铅球达标落地：交付轨迹重放确认离手时肩部向外推送比例为 -0.464，支持转掌时失去有效承托，根因推断为接触设计不足。视频已逐帧检查，但无状态日志，精确断触和接触力无法独立确认。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "两个节点均未达成、断点为 shot_landed_valid、接触与根因（推断、alt_feasible 未知）均有评分器字段（release_speed 0.08、push_fraction -0.464、release_time 0.614）和重放裁判结果支撑，视频时钟未转换，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:01:56Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--asvwccv/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--asvwccv/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ead73fc5889be0f99b2d8c203e5a1438145d31c271775076913394bd288e0181",
+   "video_sha256": "e7cbef8724de960eaa7d6f500aec326ca7eca0c083554ac9ec2e37fbe6988745",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--iromrzv.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--iromrzv.json
new file mode 100644
index 0000000000000000000000000000000000000000..91e2f71e96b185784533adb39e8f5ca207a74ee4
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--iromrzv.json
@@ -0,0 +1,219 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-privileged--iromrzv",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 175,
+   "sim_steps": 175,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 3.26,
+   "bad_trajectory": 0,
+   "metric_distance_m": 1.992,
+   "metric_release_height_m": 1.456,
+   "metric_release_push_fraction": 0.914,
+   "metric_release_speed_m_s": 4.35,
+   "metric_release_time_s": 1.075,
+   "metric_stance_neck_distance_m": 0.159,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 11143,
+   "agent_resets": 10118,
+   "agent_replays": 0,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 83.673,
+   "peak_processes": 19,
+   "peak_disk_gb": 0.241,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "over_memory_gb": 1,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-privileged--iromrzv/replay.mp4",
+  "duration_s": 1.76,
+  "fps": 25.0,
+  "frames": 44,
+  "sha256": "0fc1873f980cdc508a53c9ca79ded107cf3bc8427083fd94defc8884dfafc7b8"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.08,
+      "log_step": 258,
+      "text_zh": "观察：视频 0.96–1.16 s 机器人从肩侧向前上方伸出右臂，铅球脱离右掌；视频 1.24–1.60 s 球在机器人前方飞行并下降，未到黄色资格线。log step 258 生成并保存的最终交付为 175 行，服务返回 distance_m=1.992、release_push_fraction=0.914，失败原因为“the put is short of the qualifying mark”；评分器 reward 的同名指标及 n_actions=175 与其一致。"
+     },
+     {
+      "t": 1.72,
+      "log_step": 279,
+      "text_zh": "推断：视频全程 0.00–1.72 s 仅有这一次投掷，末段球下降至近场；结合评分器 metric_distance_m=1.992（小于 6.0 米）及 log step 279 对最终交付再次运行所得的同一落地结果，铅球达标落地事件从未成立。落地接触的精确瞬间难以从远景小球辨清，不能仅凭评分器 stages_reached=1 将合法出手计作本节点完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–1.04 s 右手开放掌垫在肩颈旁从下方承托铅球，随后伸臂送出；视频约 1.08 s 球与掌垫分离，没有合手抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.72 s 双脚支撑投掷圈地面，机器人屈腿、伸腿并前倾完成投掷；此项记录可见的脚与地面支承。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 283,
+      "text_zh": "观察：逐帧检查视频 0.00–1.72 s，机器人始终留在投掷圈内，视频 1.48–1.72 s 明显向前倾斜，没有向后半圈退场或随后站稳的动作。log step 283 的 agent 总结自述完成恢复、后退及站立，但最终交付在 log step 279 只有 175 行且已因投掷过短结束；该自述不符合受评视频，不计为节点进度。"
+     },
+     {
+      "t": 1.72,
+      "log_step": null,
+      "text_zh": "推断：铅球达标落地这一前置事件未成立，受评视频也没有后半圈退场，故本 final 节点未达到；开局圈内站立不属于退场后站稳。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": 1.992
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": 0.914
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 1.08,
+   "log_step": 258,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.08 s 机器人右手将球送出，此后球只在近场飞行下降；评分器 metric_distance_m=1.992，小于要求的 6.0 米，log step 258 与 log step 279 对最终交付均返回“the put is short of the qualifying mark”。该次出手没有形成达标落地，后续退场未在受评轨迹中开始。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 1.28,
+    "log_step": 258,
+    "evidence_zh": "观察：视频 1.08–1.60 s 铅球离开右掌后在机器人前方近处形成短抛物线并下降，始终远未到黄色资格线；log step 258 的最终交付运行结果及评分器 metric_distance_m 均为 1.992 米。投掷落点过近，未命中至少 6.0 米的目标区域。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 279,
+    "evidence_zh": "推断：视频 0.96–1.32 s 可见机器人以屈伸腿和伸右臂发力出手；log step 258、279 的最终控制脚本运行及评分器一致报告出手速度 4.35 米/秒、出手高度 1.456 米、向外推出比例 0.914，合法推出但仅落地 1.992 米。结合 log step 239 的会话参数试验（改变手臂阻尼与出拳时机会改变出手速度、落地距离或导致摔倒），问题在于所交付全身投掷控制未产生足以达到目标距离的出手运动；不足以确定具体是接触布局、轨迹跟踪还是某个参数错误，保留控制大类。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范；已逐帧检查全部 44 帧，远景中球很小，无法精确核验首次地面接触点、掌球最后接触与肩部速度分解，成绩和合法出手由最终交付的服务结果及评分器指标补充。agent 在 log step 279、283 将搜索收敛解释为物理极限，但这些试验未排除所有合法方案，不能据此归因任务或环境；也不足以细分控制根因。log step 283 所称退场站稳未出现在视频中。"
+ },
+ "summary_zh": "机器人完成一次右掌肩侧出手，但评分器记录落地成绩仅 1.992 米，未达 6.0 米；铅球达标落地与后半圈退场站稳两个节点均未完成。断点在投掷操作中，现象为落点过近（位姿不准），证据支持控制大类，不能证实 agent 自述的任务物理极限。视频末帧（视频 1.72 s）机器人仍在圈内前倾，agent 最终报告所称后续退场未实际出现；无状态日志，细微接触及具体控制缺陷仍无法细分。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "两个节点均未达成（落地 1.992 m < 6.0 m；视频 0–1.72 s 无退场），断点 shot_landed_valid/操作中、现象位姿不准、根因停在控制大类均有评分器指标与 log step 258/279 支撑；时钟均为视频时间，未发现需改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:02:38Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--iromrzv/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--iromrzv/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "14ba1b0adb589400fae8e9546632e7b816457d27505a6d84741976b9100c1354",
+   "video_sha256": "0fc1873f980cdc508a53c9ca79ded107cf3bc8427083fd94defc8884dfafc7b8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--myju45a.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--myju45a.json
new file mode 100644
index 0000000000000000000000000000000000000000..452c6e9a8ff20cf6b8d440b4811d926bed44575f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--myju45a.json
@@ -0,0 +1,212 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-privileged--myju45a",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 225,
+   "sim_steps": 225,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 3.48,
+   "bad_trajectory": 0,
+   "metric_distance_m": 2.935,
+   "metric_release_height_m": 1.914,
+   "metric_release_push_fraction": 0.965,
+   "metric_release_speed_m_s": 5.09,
+   "metric_release_time_s": 1.166,
+   "metric_stance_neck_distance_m": 0.159,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 2,
+   "agent_resets": 3,
+   "agent_replays": 4,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-privileged--myju45a/replay.mp4",
+  "duration_s": 2.28,
+  "fps": 25.0,
+  "frames": 57,
+  "sha256": "ef5126441d6b975a6fab9892fd95c1f9dc413e55415ca14970181cafe020ff90"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 118,
+      "text_zh": "观察：视频 0.00–1.08 s，机器人右掌在肩颈侧托球；视频 1.12–1.24 s，右臂向前上方伸出，铅球离开右掌并飞行。log step 118 的交付文件重放由基准裁判报告 stages=[release]、release_push_fraction=0.965，确认通过合法出手阶段。"
+     },
+     {
+      "t": 2.24,
+      "log_step": 118,
+      "text_zh": "观察：逐帧检查视频 1.28–2.24 s，球飞出后下降，末帧落点位于黄色资格线靠近投掷圈的一侧；log step 118 的交付重放报告 distance_m=2.935、failed=the put is short of the qualifying mark，inputs/run.json 的 reward.metric_distance_m 同为 2.935，未达到 DAG 的 6.0 米要求。合法出手阶段不单独完成此落地节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–1.12 s，机器人开放右掌从下方承托肩颈侧的铅球，随后随右臂向前上方推出；视频 1.20–1.24 s 球与掌分离。没有合拢夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.24 s，机器人双脚支撑投掷圈地面，投掷时腿和躯干随姿态调整；未见机器人摔倒。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.24,
+      "log_step": 118,
+      "text_zh": "观察：视频 0.00–2.24 s，机器人双脚一直留在投掷圈内，最后一秒亦未从后半圈跨出；视频在球落地时结束，没有退场后持续站稳的过程。log step 118 的交付重放仅报告 release 阶段，因短投结束；log step 122 再次验证同一 225 行文件及相同成绩。会话中的退场测试不属于本次交付视频。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": 2.935
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": 0.965
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 2.24,
+   "log_step": 118,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.12–1.24 s，机器人右臂完成向前上方推出；视频 2.16–2.24 s，铅球下降至黄色资格线近侧地面，机器人仍在圈内。log step 118 的最终交付重放由基准裁判报告短投、distance_m=2.935、仅通过 release 阶段并结束试投；inputs/run.json 的评分字段与此一致。首次投掷未达标，后续退场尚未开始。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 2.24,
+    "log_step": 118,
+    "evidence_zh": "观察：视频 1.24–2.24 s，机器人推出的铅球仅飞到黄色资格线近侧便落地，落点明显偏短；log step 118 的最终交付重放报告短投成绩 2.935 米，要求为至少 6.0 米。问题发生在投掷落点，未见投掷后摔倒或退场动作。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 1.2,
+    "log_step": 118,
+    "source_zh": "日志 / 评分器字段 / 视频",
+    "evidence_zh": "推断：视频 1.12–1.24 s 的右臂推出已形成独立飞行，且 log step 118 的交付重放确认合法出手，出手速度仅 5.09 米/秒、高度 1.914 米，随后视频 2.24 s 的落点仍远在资格线近侧。结合 log step 117–118 对同一 ctrl6 参数组的保存及重放结果，本次全身与右臂的发力控制未产生足够的出手速度和射程；没有证据将其细分为某一参数、逆解或反馈故障。"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范；视频为单一远景，不能量出精确接触力、关节速度及释放速度方向，细微合法性由最终交付的裁判重放结果辅助确认。agent 在 log step 126 将速度不足归于肩关节限速和能量传递效率，这是其自述，缺少本次交付逐关节数据，不能确认这些具体机制。",
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  }
+ },
+ "summary_zh": "机器人完成右掌承托及肩部推出，但视频约 2.24 s 铅球在黄色资格线近侧落地，裁判成绩为 2.935 米，未达到 6.0 米；机器人始终留在圈内，两个 DAG 节点均未完成（原生 release 阶段的 1/3 不等于 DAG 完成一项）。断点为铅球达标落地，表现为落点偏短，证据支持出手发力控制不足。没有状态日志与成功示范，具体关节限速、接触力和控制子类无法核实。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点（投掷落地未达标、退场未开始）、断点、现象与根因均与视频和评分字段一致，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:04:38Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--myju45a/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--myju45a/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f69a521c61ded8dcfccd87b3ca307958b42a6af05633b26140181eb1df0930a0",
+   "video_sha256": "ef5126441d6b975a6fab9892fd95c1f9dc413e55415ca14970181cafe020ff90",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--n65mmor.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--n65mmor.json
new file mode 100644
index 0000000000000000000000000000000000000000..424b77befd8adad3c835506bbdc0132e16e67d14
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--n65mmor.json
@@ -0,0 +1,221 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-privileged--n65mmor",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 266,
+   "sim_steps": 266,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 5.34,
+   "bad_trajectory": 0,
+   "metric_distance_m": 2.56,
+   "metric_release_height_m": 1.97,
+   "metric_release_push_fraction": 0.91,
+   "metric_release_speed_m_s": 4.76,
+   "metric_release_time_s": 1.631,
+   "metric_stance_neck_distance_m": 0.159,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 241,
+   "agent_resets": 2,
+   "agent_replays": 11,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.79,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.843,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-privileged--n65mmor/replay.mp4",
+  "duration_s": 2.68,
+  "fps": 25.0,
+  "frames": 67,
+  "sha256": "0fc72ff0e558268a6394711d7efe271b418b2e402ba390d217dd3f5f6479356e"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.64,
+      "log_step": 610,
+      "text_zh": "观察：视频 0.00–1.56 s 铅球随机器人右侧开放掌垫从肩侧向前上方移动，视频约 1.64–1.72 s 离手飞出；log step 610 的交付轨迹运行结果与 log step 611、626 的两次独立重放均只记录 release 阶段。"
+     },
+     {
+      "t": 2.64,
+      "log_step": 626,
+      "text_zh": "观察：视频 2.36–2.64 s 铅球向扇区近端地面下降，仍在黄色资格线近侧；inputs/run.json 的评分器字段 metric_distance_m=2.56，log step 626 对最终交付文件的重放明确判定 the put is short of the qualifying mark。推断：首次落地成绩不足 6.0 米，因此出手虽完成，铅球达标落地节点从未达到；视频末帧前后的精确触地时刻以重放判定辅助，未将 agent 工作时间换算成视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–1.56 s，机器人右侧开放掌垫在球下方承托铅球，随后右臂向前上方伸展将球推出；掌垫没有合拢抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.72 s，机器人双脚支撑投掷圈地面，右臂在该支撑下完成推球；视频末段机器人逐渐后仰。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.64,
+      "log_step": 626,
+      "text_zh": "观察：视频 0.00–2.64 s 未见机器人在铅球落地后从后半圈退场并持续站稳；视频约 2.20 s 后机器人向后倾斜，视频 2.64 s 躯干已接近水平，脚仍在圈内区域。log step 626 的最终交付文件重放在落短时即结束，阶段只有 release。推断：有效落地前置未达到，后半圈退场站稳也未达到；末段后仰不作为已开始合法退场。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": 2.56
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": 0.91
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 2.64,
+   "log_step": 626,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.64–1.72 s 机器人右手推出铅球，视频 2.36–2.64 s 球落向黄色资格线近侧的地面；log step 626 对最终交付文件的独立重放给出 distance_m=2.56，并以 the put is short of the qualifying mark 判负。推断：未修复的失败发生在铅球达标落地这一步，视频 2.64 s 为球接近首次落地的导航锚点。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 2.64,
+    "log_step": 626,
+    "evidence_zh": "观察：视频 2.36–2.64 s 铅球在资格线前方的近端地面下降，没有到达至少 6.0 米的目标落地区域；log step 626 的交付文件重放及评分器 metric_distance_m 均给出 2.56 米。推断：这是推球后的落点过近，而不是到达目标后滚离。"
+   },
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 2.4,
+    "log_step": null,
+    "evidence_zh": "观察：视频 2.20–2.64 s 机器人上身持续向圈后方倾倒，视频 2.40 s 后倾倒加剧，视频 2.64 s 躯干接近水平且没有恢复直立。推断：机器人已后仰失衡；末帧尚不能确认非脚部触地，评分器 fell=0，故不声称已经触发摔倒判罚。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 1.64,
+    "log_step": 626,
+    "evidence_zh": "推断：机器人已建立右掌承托并完成合法肩部推出，但投掷控制产生的出手速度和方向组合不足以把球送到资格区。依据是视频约 1.48–1.72 s 的实际推球与视频 2.36–2.64 s 的近端落点，以及 log step 611、626 对同一交付轨迹重复报告的出手速度 4.76 米/秒、出手高度 1.97 米、推出比例 0.91、距离 2.56 米；合法推出比例已达 0.5，失败并非没有启动投掷。视频末段也显示姿态未能保持稳定；现有证据不能把这些控制不足细分为特定逆解、反馈或参数问题。",
+    "source_zh": "视频 / 日志 / 评分器字段"
+   }
+  ],
+  "gap_zh": "没有逐帧状态日志或成功示范；视频中球和掌垫较小，精确断触、肩部相对速度分解及首次接触瞬间无法独立量测，以最终交付文件的两次一致重放和评分器字段补充。现有证据支持控制层归因，但不能证明某一关节限位、接触几何或具体参数是根因；末段非脚部是否触地也无法确认。",
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  }
+ },
+ "summary_zh": "机器人完成了右掌承托和肩部推出，但铅球落在资格线之前，评分器成绩为 2.56 米，两个 DAG 节点最终均未完成。断点是铅球达标落地，现象为落点过近及出手后的后仰失衡，根因保留在控制层；未完成后半圈退场站稳。没有逐帧状态日志或成功示范，精确接触与具体控制子因仍有缺口；评分器的 1/3 阶段进度仅代表 release，不等于两步 DAG 完成了一步。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频一致：视频约1.6 s右手推出铅球，球落在资格线近侧，评分器距离2.56 m，两个节点未达成；断点、现象与根因证据充分。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:13:36Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--n65mmor/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--n65mmor/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a4c4d223530e92c0f5847100083257f5184f3098d444ae17dcb4d37da5cb90eb",
+   "video_sha256": "0fc72ff0e558268a6394711d7efe271b418b2e402ba390d217dd3f5f6479356e",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--puembbl.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--puembbl.json
new file mode 100644
index 0000000000000000000000000000000000000000..4c6aef8c997f08714f04f97a6f7437bd19e2f6d2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--puembbl.json
@@ -0,0 +1,236 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-privileged--puembbl",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3333,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 430,
+   "sim_steps": 430,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.3333,
+   "stages_reached": 1,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 4.8,
+   "bad_trajectory": 0,
+   "metric_distance_m": 3.024,
+   "metric_release_height_m": 1.904,
+   "metric_release_push_fraction": 0.888,
+   "metric_release_speed_m_s": 4.26,
+   "metric_release_time_s": 3.307,
+   "metric_stance_neck_distance_m": 0.159,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 258,
+   "agent_resets": 733,
+   "agent_replays": 6,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.545,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.272,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-privileged--puembbl/replay.mp4",
+  "duration_s": 4.32,
+  "fps": 25.0,
+  "frames": 108,
+  "sha256": "9a3496a11f602f888dea23c43e44c3e138e0ee6f3e1ca3480528393ddff9770f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人已站在投掷圈内，右侧开放掌垫承托颈侧铅球；视频 0.00–3.12 s 机器人持球向挡趾板方向迈步。"
+     },
+     {
+      "t": 3.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.12–3.36 s 机器人右臂从肩侧向前上方伸展，铅球离开右掌，随后独立飞行；未见双手合拢抓球。"
+     },
+     {
+      "t": 4.28,
+      "log_step": 545,
+      "text_zh": "观察：视频 4.08–4.28 s 铅球下降到黄色资格线近侧，末帧球与地面阴影接近，机器人仍在圈前部直立。log step 545 对最终交付文件重新生成并重放，裁判报告 distance_m=3.024、stages=[release]、failed=the put is short of the qualifying mark；inputs/run.json 的评分字段与此相同。"
+     },
+     {
+      "t": 4.28,
+      "log_step": 545,
+      "text_zh": "推断：末段短落画面与最终交付回放的 3.024 米成绩一致，低于节点要求的 6.0 米，因此合法出手虽发生，铅球达标落地事件始终未成立；裁判的 release 阶段不是本 DAG 的独立节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00 s 右侧无指掌垫从下方承托颈侧铅球；视频 3.12–3.36 s 右臂带动开放掌垫向前上方送球并离手。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.36 s 双脚在圈内交替支撑，躯干随迈步和右臂推出保持直立；视频 0.00 s 铅球贴靠颈侧躯干。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.8,
+      "log_step": 530,
+      "text_zh": "观察：视频 3.40–4.28 s 机器人收回右臂、双脚继续在挡趾板附近交替迈动，到末帧仍位于圈前部，未见后半圈出圈，更未出现退场后的连续站稳。log step 530 的交付生成脚本在推出及收臂阶段下达反向行走指令。"
+     },
+     {
+      "t": 4.28,
+      "log_step": 545,
+      "text_zh": "推断：反向行走指令及圈内迈脚属于退场准备尝试，但没有形成后半圈退场；且有效落地前置未达，log step 545 的交付回放已因短投终止，故后半圈退场站稳节点未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 3.40–4.28 s 收臂后双脚仍在圈前部交替接地支撑。推断：结合 log step 530 的反向行走命令，这是未能走出后半圈的退场准备，画面未证实实际向后移动。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": 3.024,
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "release_push_fraction",
+   "value": 0.888,
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 3.32,
+   "log_step": 545,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.32 s 机器人右掌将球向前上方送出，视频 4.08–4.28 s 球在黄色资格线近侧下降；log step 545 对最终 430 行交付轨迹的重放裁判报告成绩 3.024 米，并以投掷距离不足终止。推断：断点是未能投到达标区域的投掷步骤，出手时刻作为导航锚点；后续没有修复该步骤。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 3.32,
+    "log_step": 545,
+    "evidence_zh": "观察：视频 3.36–4.28 s 铅球飞向场地后在黄色资格线前方下降，末段明显没有到达资格线；log step 545 的最终交付回放记录 distance_m=3.024，明确报告短投。推断：这是投掷落点过近，未命中要求的距离区域。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 3.32,
+    "log_step": 534,
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 530 的最终脚本将右臂推出与躯干回转、反向行走制动同步执行；log step 534、545 对该交付文件的裁判回放均记录离手速度 4.26 米/秒、离手高度 1.904 米、推出分量比例 0.888 和成绩 3.024 米，与视频 3.12–4.28 s 的推出和短落一致。推断：肩部推出方式已被裁判接受，但这套全身与右臂动作未给铅球足够的离手速度来达到 6.0 米；证据支持投掷控制不足，不能进一步确定是接触布局、轨迹生成还是伺服跟踪的贡献。"
+   }
+  ],
+  "gap_zh": "没有状态日志或扇区俯视视频，单一场地视角中的球较小，不能精确分辨首次地面接触采样、全部球掌接触及肩部速度分解；是否达标由视频末段与最终交付回放裁判字段共同判断。视频截至 4.28 s 的末帧仅接近首次触地，精确触地时间不作断言。控制根因无法可靠细分；会话中的其他调试试投不作为本次节点进度或失败现象。"
+ },
+ "summary_zh": "机器人持球向圈前部迈步并从右肩侧推出铅球，但落点在黄色资格线近侧，最终交付回放裁判记录成绩 3.024 米，低于 6.0 米，两个 DAG 节点均未完成。断点为铅球达标落地，现象是落点过近，已接受的肩部推出动作离手速度不足；收臂后的圈内迈脚未形成后半圈退场。无状态日志且球在单视角中较小，首次触地采样及控制子原因不能精确确定。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "断点（shot_landed_valid，操作中）、两节点均未达成、位姿不准现象及停在“控制”的根因均有裁判字段（distance 3.024 m < 6.0 m，stages=[release]）和视频末段短落支持；时钟与 log step 均正确，未发现需改内容的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:09:20Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--puembbl/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--puembbl/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "7daf10e160cc9f4b840b35b3d2c72b9a46956479a256022e0b54911764361f1c",
+   "video_sha256": "9a3496a11f602f888dea23c43e44c3e138e0ee6f3e1ca3480528393ddff9770f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--zuhyzrw.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--zuhyzrw.json
new file mode 100644
index 0000000000000000000000000000000000000000..c062ac9f1614724f69d86a6af1b6ca54c846d59d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-privileged--zuhyzrw.json
@@ -0,0 +1,185 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-privileged--zuhyzrw",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 10,
+   "sim_steps": 10,
+   "horizon": 6000,
+   "episode_over": 0,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 2.36,
+   "bad_trajectory": 0,
+   "metric_stance_neck_distance_m": 0.159,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 64,
+   "agent_resets": 461,
+   "agent_replays": 0,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.742,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.252,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-privileged--zuhyzrw/replay.mp4",
+  "duration_s": 0.12,
+  "fps": 25.0,
+  "frames": 3,
+  "sha256": "b176755807b4b4965a8a834fc17377f2a6c31c1130de684032d8235d075a6692"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：视频 0.00、0.04、0.08 s 的全部三帧中，机器人保持圈内站姿，右臂弯曲停在肩颈侧，未见推出铅球、球飞入扇区或落地；log step 8 的脚本只执行 10 次初始 hold 指令并保存，服务返回 stages=[]、steps=10、time_s=0.1、done=False。"
+     },
+     {
+      "t": 0.08,
+      "log_step": null,
+      "text_zh": "观察：inputs/run.json 的评分器字段 n_actions=10、sim_steps=10、stages_reached=0、episode_over=0，与视频末帧仍停在初始姿态一致；此评分轨迹没有达标落地事件。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.08,
+      "log_step": 8,
+      "text_zh": "观察：视频 0.00、0.04、0.08 s 中，机器人双脚始终留在投掷圈内，没有向后退场动作，也没有铅球先落地的事件；log step 8 保存的仅为初始姿态保持。"
+     },
+     {
+      "t": 0.08,
+      "log_step": null,
+      "text_zh": "推断：根据视频全段未退场、前置节点铅球达标落地未达成，以及评分器 stages_reached=0，后半圈退场并站稳的终态判据不成立；开局站立不能视为完成退场。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "unknown",
+   "t": null,
+   "log_step": 90,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 0.00–0.08 s 只有圈内初始姿态保持，未发生投掷或退场；log step 8 保存该 10 步基线后，agent 继续编写和测试其他投掷脚本，log step 89 仍在返回参数测试结果，log step 90 的最终消息为“This request was blocked by Gemini's filters”。推断：会话在正式投掷交付完成前被外因截断，不能定位一次评分内的物理操作失败，故断点为 unknown／首步前。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [],
+  "root_causes": [],
+  "gap_zh": "观察：inputs/ 提供三帧回放及完整 run.json，没有状态日志或成功示范；视频 0.00、0.04、0.08 s 已全部检查。log step 8 保存的是仅保持初始姿态的基线，返回 success=False、done=False、failed=None；全日志未见随后覆盖保存正式投掷轨迹的调用，评分器 agent_replays=0、episode_over=0，log step 90 返回 Gemini 过滤拦截提示。推断：现有证据不满足 D37 的“交付已保存并验证或评分局已结束”例外，按 CASES.md FAIL-5 作为外因截断待重测，保留目录 success=0，但不记没尝试或控制、交付根因。会话测试中的出手、后摆和再次触球均不在评分回放中，不能移入现象层。评分轨迹没有启动任一节点的工作，初始站立和肩侧承球不单列 contact_actual。两项原生指标 distance_m、release_push_fraction 未在评分器 reward 中报告，均置 null，不能借用会话测试值。"
+ },
+ "summary_zh": "评分回放仅有初始姿态保持，机器人没有推出铅球或从后半圈退场，两节点均未达成，终态为 0/2。log step 8 保存的 10 步基线与回放相符，后续投掷测试不是评分轨迹；log step 90 返回 Gemini 过滤拦截提示，会话缺少已保存并验证的最终投掷交付。按外因截断处理并建议重测，保留目录 success=0，断点 unknown／首步前，现象和根因留空。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "评分回放仅 3 帧初始站姿，两节点均未达成、终态 0/2 与帧、评分器字段一致；log step 8 仅保存 10 步保持基线，之后无正式交付，step 90 为 Gemini 过滤截断，按 FAIL-5 外因截断处理（unknown/首步前、现象与根因为空且有 gap_zh）合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:09:32Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--zuhyzrw/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-privileged--zuhyzrw/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "afa912fd59a0f6eb7c61ac08d1387f815d04ddf572dd1d848a4c690b79a7a1c3",
+   "video_sha256": "b176755807b4b4965a8a834fc17377f2a6c31c1130de684032d8235d075a6692",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--2rgxdja.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--2rgxdja.json
new file mode 100644
index 0000000000000000000000000000000000000000..b918c9ddc3bed40149fa994c0a69dab4703d086d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--2rgxdja.json
@@ -0,0 +1,210 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-standard--2rgxdja",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 50,
+   "sim_steps": 558,
+   "calls": 26,
+   "rows": 558,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4761.0,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 76.316,
+   "peak_processes": 12,
+   "peak_disk_gb": 3.126,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "over_memory_gb": 1
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-standard--2rgxdja/replay.mp4",
+  "duration_s": 0.52,
+  "fps": 25.0,
+  "frames": 13,
+  "sha256": "b64a2d2ef7722b1c9d56d7420552c3cf34fddecacfedb3fdb3c28029388742c8"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.20 s，铅球位于机器人右肩颈侧、右掌上方；机器人双脚支撑在投掷圈内。"
+     },
+     {
+      "t": 0.48,
+      "log_step": 185,
+      "text_zh": "观察：逐帧检查视频 0.24–0.48 s，机器人抬起并伸展右臂，球仍在右肩和手臂附近，未出现飞向扇区并达标落地的过程。log step 185 的机器人服务返回最后一局 episode 6 的结果为“the shot was touched after the release”，stages_reached=1，control_steps=50，done=True、reason=failed；该局在投掷阶段已终止。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–0.20 s，机器人右侧开放掌垫从下方承托肩颈旁的铅球，随后右臂抬起伸展；掌垫未合拢抓握。log step 185 的服务裁判还确认出手后机器人再次触球，但未记录再次接触的具体部位。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.48 s，机器人双脚支撑投掷圈内地面，投掷过程中身体保持站立。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.48,
+      "log_step": 185,
+      "text_zh": "观察：视频 0.00–0.48 s 的全部画面中，机器人始终留在投掷圈内，没有向后迈出圈沿或在圈外站稳；log step 185 显示最后一局在推球后即因再次触球判负，随后脚本的继续提交被 EpisodeOver 拒绝，未执行退场。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 0.48,
+   "log_step": 185,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.24–0.48 s，机器人正在抬起、伸展右臂推球，尚未完成球在扇区内达标落地。log step 185 明确记录 reset 后的最后一局 episode 6，机器人服务裁判返回“the shot was touched after the release”并结束该局；断点定位在投掷操作中，视频 0.48 s 为末段动作的近似导航锚点，不是精确接触采样时刻。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "约束",
+    "item": "违反约束",
+    "t": 0.48,
+    "log_step": 185,
+    "evidence_zh": "观察：log step 185 中，最后一局 episode 6 的机器人服务裁判明确返回“the shot was touched after the release”，即机器人违反出手后不得再次触球的规则；同一局 done=True、reason=failed。视频 0.32–0.48 s 可见右臂伸展时铅球仍在肩臂附近，无法独立分辨断触与重触的精确瞬间。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：投掷动作未能让机器人在出手后持续避开铅球。log step 184 将最后一次动作设置为抬升推球的 lowcmd 关节控制序列，log step 185 执行该序列后，服务裁判确认出手后再次触球；视频 0.24–0.48 s 也显示右臂与球仍在相邻区域。agent 在 log step 193 自述最后一局为手臂再次穿过球的运动路径；这一解释与裁判结果相符，但接触几何和跟踪数据不足，因此只归到控制，不细分子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范；已逐帧检查全部 13 帧，并放大肩臂区域。25 fps 场地画面无法独立确定短暂断触、重触部位及精确时刻，出手后重触依据 log step 185 对应最后一局的服务裁判结果。缺少真实关节跟踪、接触力与接触对，不能区分接触设计、轨迹或反馈问题；agent 关于掌面几何和可达性的断言未经本次证据独立验证。评分器 reward 未报告 distance_m 或 release_push_fraction，两个原生指标保留 null；log step 184 的离线副本数值不作为受评局指标。"
+ },
+ "summary_zh": "受评的是 log step 185 重置后的最后一局 episode 6；视频 0.00–0.48 s 显示机器人从肩颈侧承托球的站姿开始抬臂推球，两个节点均未完成，后半圈退场尚未开始。机器人服务裁判确认出手后再次触球并立即判负，断点为“铅球达标落地”的操作中，根因保守归为控制。画面无法分辨精确断触与重触部位，且没有状态日志，不能进一步确定控制子类或受评局的距离、出手速度分量指标。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "标签与证据相符：视频仅 0.52 s（13 帧），对应 log step 185 的最后一局 episode 6（control_steps=50，服务裁判返回 touched after the release，done=True），两个节点未达成，断点在 shot_landed_valid 操作中，根因保守停在“控制”，未发现需要改内容的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:15:38Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--2rgxdja/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--2rgxdja/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "3497c311761a12c96c36708fd6ed848fdb021449b6355fc37c72a1f944554ed7",
+   "video_sha256": "b64a2d2ef7722b1c9d56d7420552c3cf34fddecacfedb3fdb3c28029388742c8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--5mwwtjh.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--5mwwtjh.json
new file mode 100644
index 0000000000000000000000000000000000000000..b7e020d0bbaa5cbc66f9fc00f652cc3eba2506a2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--5mwwtjh.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-standard--5mwwtjh",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 38,
+   "sim_steps": 2496,
+   "calls": 159,
+   "rows": 1426,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3050.1,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-standard--5mwwtjh/replay.mp4",
+  "duration_s": 0.4,
+  "fps": 25.0,
+  "frames": 10,
+  "sha256": "f9fd791c6935bc744881567e30dd3a6362b52e28c88946c880db1d6dd9a49eaf"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s，机器人站在投掷圈内，铅球位于右侧颈肩旁、右掌上方；视频 0.08–0.36 s 右臂抬起，球仍在头颈附近，未见球飞向扇区或落地。已检查全部 10 帧。"
+     },
+     {
+      "t": 0.36,
+      "log_step": 201,
+      "text_zh": "观察：log step 201 的机器人服务返回最后现场试投 episode 51 在仿真 0.38 s 结束，outcome=\"the shot was touched after the release\"，stages_reached=1、stages_total=3；这是服务裁判对出手后再次触球的判定，不是 agent 自述。视频末帧 0.36 s 仍无落地；裁判的出手阶段不等于 DAG 要求的达标落地。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–0.04 s 右侧开放掌垫位于颈侧铅球下方承托球，随后右臂抬起；没有合拢夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.36 s 双脚持续支撑投掷圈地面，机器人在原地进行右臂投掷动作。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.36,
+      "log_step": 201,
+      "text_zh": "观察：视频 0.00–0.36 s 机器人双脚一直在圈内，未开始向后退场；log step 201 的最后现场试投在出手后再次触球时已被裁判终止，尚未落地。"
+     },
+     {
+      "t": 0.36,
+      "log_step": 200,
+      "text_zh": "推断：log step 200 的 run_trial 脚本仅在投掷与等待落地均未结束 episode 时才发送后退行走指令；结合 log step 201 的判负和视频全程留圈，后半圈退场站稳既未尝试，也未满足前置落地节点。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "release_push_fraction",
+   "value": null,
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 0.36,
+   "log_step": 201,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.24–0.36 s 机器人右掌已抬至头部上方，球仍紧邻头颈，没有向扇区飞出或落地；log step 201 确认受评的最后现场试投 episode 51 在仿真 0.38 s 因出手后再次触及机器人而判负。失败发生于投掷落地步骤，未进入退场。视频 0.36 s 取作末段失败导航锚点，不将 agent 工作时间换算为视频时间。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "被挡/碰撞",
+    "t": 0.36,
+    "log_step": 201,
+    "evidence_zh": "观察：视频 0.24–0.36 s 的球仍在机器人头颈附近、与抬高的右掌分离；log step 201 的服务裁判明确报告 \"the shot was touched after the release\"，即球离手后再次碰到机器人，导致试投在落地前终止。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 0.36,
+    "log_step": 200,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 200 的 fire 先用 10 行位置目标驱动肩关节、保持肘部折叠，再用 10 行伸肘，并保持末姿势；log step 201 在 reset 后实际调用该脚本。视频 0.08–0.36 s 可见右臂向上抬起而球留在头颈附近，服务裁判确认离手后重触；这支持肩肘与离手运动协调不足的控制归因。没有足够的球速、掌面接触和关节跟踪数据区分接触设计、轨迹或反馈控制子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功 oracle；现有远景视频仅 10 帧（视频 0.00–0.36 s），无法精确分辨出手与再次接触的控制采样、接触的机器人部位及球的速度分量。再次触球事实由最后受评 episode 的服务裁判字段确认；控制根因仅能停留在大类，两个原生数值指标均未报告。"
+ },
+ "summary_zh": "受评的是 log step 201 reset 后的最后现场试投 episode 51；机器人在圈内抬起右臂，球出手后再次碰到机器人，裁判在仿真 0.38 s 判负，铅球达标落地和后半圈退场站稳均未完成。视频全部 10 帧显示球未飞向扇区、双脚未退场，断点为投掷落地步骤，根因推断为肩肘及离手运动协调的控制问题；缺少逐体接触和球速数据，不能细分控制子类。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "标注与证据一致：受评为最后现场试投 episode 51（log step 201，仿真 0.38 s 与 0.4 s 视频吻合），两节点均未达成，断点在投掷落地步骤，被挡/碰撞来自服务裁判字段，根因停留在控制大类且已说明证据不足。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:11Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--5mwwtjh/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--5mwwtjh/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c46192ef94d8392ef7fe688cd5ec4912a1ab1c2a862714037bbc141c7dfff63b",
+   "video_sha256": "f9fd791c6935bc744881567e30dd3a6362b52e28c88946c880db1d6dd9a49eaf",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--bgwxtcn.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--bgwxtcn.json
new file mode 100644
index 0000000000000000000000000000000000000000..eaeb972318e311cd7cb9e4a56b4d5fb986c3f924
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--bgwxtcn.json
@@ -0,0 +1,215 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-standard--bgwxtcn",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 143,
+   "sim_steps": 601,
+   "calls": 16,
+   "rows": 459,
+   "resets": 5,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 1265.2,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.752,
+   "peak_processes": 9,
+   "peak_disk_gb": 1.316,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-standard--bgwxtcn/replay.mp4",
+  "duration_s": 1.44,
+  "fps": 25.0,
+  "frames": 36,
+  "sha256": "61aead410a425a2ad02f72d0b76e7567d633a34f52fed5d928fd98a71a35bfa8"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.60 s，机器人双脚站在投掷圈内，右臂屈曲，开放右掌承托颈肩侧的铅球；视频 0.64–1.40 s 机器人转动上身并抬伸右臂，球仍在颈肩近旁，未见飞至扇区并首次落地。"
+     },
+     {
+      "t": 1.4,
+      "log_step": 117,
+      "text_zh": "观察：log step 117 中 agent 脚本先调用服务 reset，再运行最终站立模式投掷；机器人服务返回 done=True、reason=failed、stages=1/3、outcome=\"the shot was touched after the release\"。该结果是最后一次现场试投的裁判反馈；视频 1.28–1.40 s 与投掷末段相符。"
+     },
+     {
+      "t": 1.4,
+      "log_step": 117,
+      "text_zh": "推断：裁判的 1/3 表示出手阶段已达，但出手后再次触球即终止，不能把该内部阶段计为 DAG 的“铅球达标落地”；结合视频全程未见球落入扇区，该节点未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–1.24 s，右侧开放掌垫位于颈肩侧铅球下方承托；随后右臂抬伸。掌垫没有合拢抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.40 s，双脚始终支撑投掷圈内地面，上身转动；球初始贴近颈侧。推断：结合任务给定初态，颈侧躯干与右掌共同承托球，但末段再次触球的具体身体部位无法从画面确定。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.4,
+      "log_step": 117,
+      "text_zh": "观察：逐帧检查视频 0.00–1.40 s，机器人双脚一直留在圈内，末段仍在执行投掷动作，未出现向后迈出圈沿或圈外触地；log step 117 的最终现场裁判已因出手后再次触球结束试投。推断：铅球达标落地的前置节点未完成，机器人也未开始后半圈退场，故退场站稳未完成。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "release_push_fraction",
+   "value": null,
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 1.4,
+   "log_step": 117,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.28–1.40 s，机器人转体抬伸右臂，球仍在颈肩近旁，尚无扇区内落地；log step 117 最后一次 reset 后的现场裁判返回“the shot was touched after the release”，终止于投掷阶段。推断：失败发生在“铅球达标落地”的操作中；视频约 1.40 s 仅作为末段动作导航锚点，不能精确定位再次触球的控制采样。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "约束",
+    "item": "违反约束",
+    "t": 1.4,
+    "log_step": 117,
+    "evidence_zh": "观察：log step 117 的机器人服务最终裁判结果明确为“the shot was touched after the release”；视频 1.28–1.40 s 可见右臂在颈肩近旁继续运动，球未远离身体。推断：该次投掷触发 DAG 的 shot_retouched（出手后再次触球）禁令；画面不能确定触球部位或证明阻挡，故仅标这一规则违反。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "log_step": 69,
+    "t": 1.4,
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 69 的 agent 本地设计代码将球做成掌垫的固定子体，假设球刚性随掌运动；log step 86 的最终站立模式生成器只按预设时序转体、改变右肩肘腕目标，log step 117 重置后执行该生成器仍被裁判判为出手后再次触球。视频 1.12–1.40 s 中球仍在颈肩附近而右臂抬伸；agent 在 log step 119 自述本地固定球模型高估了承托能力。推断：用于设计动作的掌球承载假设未覆盖真实开放掌垫与颈侧的相互作用，接触布局和分离过程不适配，导致出手后再次接触；尚无已验证的合法替代方案。"
+   }
+  ],
+  "gap_zh": "未提供状态日志或成功示范。视频只有远景，虽已查看全部 36 帧及颈肩裁剪，仍无法分辨出手断触和再次触球的精确时刻、接触身体部位或相对肩部速度；再次触球事实依据 log step 117 最终现场裁判结果，不能把 agent 在 log step 119 所称“再次碰躯干”当成已核实部位。接触设计根因由本地代码、最终动作与裁判反馈推断；评分字段未报告 distance_m 或 release_push_fraction，均留 null。"
+ },
+ "summary_zh": "受评的是 log step 117 最后一次重置后的站立模式试投：机器人在圈内转体抬伸右臂，两项 DAG 节点均未完成（0/2）。视频约 1.28–1.40 s 仍处于颈肩附近的投掷动作，最终现场裁判确认出手后再次触球；本地将球固定随掌运动的设计假设与真实接触不符，推断属于接触设计问题。缺少状态日志，具体再次触球部位、精确时刻及两项原生指标无法核实。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "两节点均未完成（0/2）、断点 shot_landed_valid/操作中、现象“违反约束”（出手后再次触球，依据 log step 117 服务裁判结果）与根因“抓取和接触设计”均有证据支持；时钟无换算，log step 存在。受评是最后一次现场试投，标注合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:11:37Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--bgwxtcn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--bgwxtcn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9883e22fe11762a75404ea9b9146760ca91ee037cae67f623eae2be0a5f3873e",
+   "video_sha256": "61aead410a425a2ad02f72d0b76e7567d633a34f52fed5d928fd98a71a35bfa8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--jgscpud.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--jgscpud.json
new file mode 100644
index 0000000000000000000000000000000000000000..232ee66faeec687aba2fc1201aa8b11dad4d05b2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--jgscpud.json
@@ -0,0 +1,221 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-standard--jgscpud",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 445,
+   "sim_steps": 11067,
+   "calls": 142,
+   "rows": 6967,
+   "resets": 44,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 4440.9,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.639,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.328,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-standard--jgscpud/replay.mp4",
+  "duration_s": 4.48,
+  "fps": 25.0,
+  "frames": 112,
+  "sha256": "5bd823f1fc8aece4d40a4e2d59dc0ff15006c84cf5a27449164e3fab501afed9"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.84,
+      "log_step": 646,
+      "text_zh": "观察：视频 3.76–4.04 s，机器人将颈侧持球的右臂向前上方伸出，随后收回；视频 4.12–4.44 s 可见小球在机器人右前侧近处下降，未飞向远端黄色资格线。"
+     },
+     {
+      "t": 4.44,
+      "log_step": 649,
+      "text_zh": "观察：log step 649 是最后一次现场 Episode 45，机器人服务返回 done=True、stages_reached=1/3、outcome=\"the shot landed outside the sector\"；其仿真终点 4.45 s 与视频末帧 4.44 s 的近身落球相符。服务的一个出手阶段不等于本 DAG 的达标落地步骤，未获有效落地。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–3.76 s，机器人右侧开放掌垫承托颈旁铅球，视频 3.84–4.04 s 随右臂伸出后离球；未见合手夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.44 s，机器人双脚在投掷圈内交替支撑，投掷时保持直立；开局球贴近颈肩，躯干与球的精确接触无法由该远景分辨。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.44,
+      "log_step": 649,
+      "text_zh": "观察：视频 4.00–4.44 s，机器人收臂后仍仅在圈内小幅换步，没有后半圈圈沿或圈外触地，更没有完成退场后连续站稳。log step 646 的脚本在收臂阶段起发送后退指令，但 log step 649 的该局在落球时已终止，仅执行所提交 943 行中的 345 行。"
+     },
+     {
+      "t": 4.44,
+      "log_step": 649,
+      "text_zh": "推断：视频末帧仍在圈内，且 log step 649 裁判仅记录出手阶段、未接受有效落地；本 final 节点的前置及退场站稳条件均未满足。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.00–4.44 s，机器人双脚仍支撑圈内地面并小幅换步；结合 log step 646 的收臂后后退指令，该段已开始退场动作，但未到达后半圈边沿或圈外。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 3.9,
+   "log_step": 649,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.84–4.04 s，机器人伸右臂出球后收臂，球随即在身旁近处下降；视频 4.44 s 仍未到达远端目标区。log step 649 的最后一局服务裁判返回“the shot landed outside the sector”、stages_reached=1/3，终止于该次落球，达标落地步骤未完成且未修复。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 4.24,
+    "log_step": 649,
+    "evidence_zh": "观察：视频 3.84–4.44 s，右臂向前上方伸出后，球没有明显向扇区远端前进，而在机器人右前侧近处下落；log step 649 的服务裁判判该落点在扇区外。投掷落点未落入要求的目标范围。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 646 的最终脚本以预设 16 个控制步切换右臂至发力姿态，紧接 12 个控制步收臂，log step 649 确认执行该脚本；视频 3.84–4.44 s 显示这次出球仅在近身处下降。该手臂驱动没有产生将球送入目标区的出球运动，支持控制层根因；没有实测出球速度或关节跟踪误差，不能确定具体控制子类。",
+    "source_zh": "日志 / 视频",
+    "log_step": 646,
+    "t": 3.9
+   }
+  ],
+  "gap_zh": "没有状态日志或成功参考视频；现有视频只有远景固定视角，小球很小，不能精确恢复首次接地点坐标、出球速度及肩部速度分解，也不能分辨所有颈肩接触。log step 649 给出无效落点判决但未报告 distance_m 或 release_push_fraction，两项原生指标保留 null；log step 651 将该结果解释为距离不足是 agent 自述，不能替代距离测量。根因仅能定位为控制，无法进一步区分接触设计、轨迹跟踪或具体参数。"
+ },
+ "summary_zh": "受评的最后一局 Episode 45 完成了出手，但铅球在身旁近处下落，log step 649 的服务裁判判落点在扇区外，因此“铅球达标落地”和“后半圈退场站稳”均未完成（0/2）。断点为投掷操作中的落点偏差，现有动作与视频证据支持控制层根因。缺少状态日志及精确落点、出球速度记录，无法确定具体控制子类或原生指标数值。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "两节点未达成、断点 shot_landed_valid（操作中）、现象位姿不准+根因控制，均与视频及 log step 649 的服务判定（landed outside the sector，stages 1/3，仿真 4.45 s）一致；时钟均标视频时间，未发现需要改动的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:06Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--jgscpud/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--jgscpud/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "99146ba456f6b6705bed63ee14ae490a1c44251ea2bdfc76704e20a09bf5f629",
+   "video_sha256": "5bd823f1fc8aece4d40a4e2d59dc0ff15006c84cf5a27449164e3fab501afed9",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--jxnexpe.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--jxnexpe.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d8e7ec1f89f90ea629ee5af1dd9008621181b62
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--jxnexpe.json
@@ -0,0 +1,207 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-standard--jxnexpe",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 228,
+   "sim_steps": 6793,
+   "calls": 958,
+   "rows": 5934,
+   "resets": 33,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 2545.8,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.4,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.76,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-standard--jxnexpe/replay.mp4",
+  "duration_s": 2.32,
+  "fps": 25.0,
+  "frames": 58,
+  "sha256": "37cabd253354220260e2d334c7a72caa8950d0645474a7404433d73b69c9573a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在投掷圈内，右臂折起、右掌位于颈肩侧承托铅球；视频 0.64–1.92 s 机器人屈腿准备投掷。"
+     },
+     {
+      "t": 2.08,
+      "log_step": 136,
+      "text_zh": "观察：视频 2.00–2.12 s 机器人伸腿、右臂向前推出，铅球离开肩侧向扇区飞行；视频 2.28 s 球仍悬空，机器人已向前扑倒，没有首次达标落地。log step 136 的现场服务裁判结果为 outcome=fell、stages_reached=1/3、control_steps=228；该原生阶段计数不能当作本 DAG 已完成节点数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–1.92 s 机器人右侧开放掌垫在颈肩处承托铅球，视频约 2.00–2.08 s 随右臂前推将球送出；没有合手抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.92 s 机器人双脚支撑圈内地面并屈腿蓄力，视频约 2.00 s 伸腿发力，随后脚部离地并失去支撑；初始铅球贴靠颈肩侧。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.28,
+      "log_step": 136,
+      "text_zh": "观察：视频 0.00–2.28 s 机器人始终在圈内准备并向前投掷，末段向前扑倒，未见向后半圈退场或退场后站稳；log step 136 现场服务裁判以 fell 结束本次试投。推断：前置的有效落地未发生，本节点未到达且未开始执行。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 2.08,
+   "log_step": 136,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 2.00 s 机器人从屈腿姿势伸腿、右臂推球，视频 2.08–2.28 s 身体持续向前倾倒、骨盆下降且双脚失去支撑，球尚在空中；log step 136 的最后一次现场试投返回 outcome=fell，之后无新的机器人试投调用。推断：失败发生于铅球达标落地步骤，尚未进入落地后的退场步骤。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 2.08,
+    "log_step": 136,
+    "evidence_zh": "观察：视频 2.08–2.28 s 机器人出手后双脚离地，躯干从明显前倾变为接近水平，骨盆快速下降，未恢复站立；log step 136 现场服务裁判明确报告 fell。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：agent 的投掷控制未能在全身发力时维持支撑与平衡。log step 97 创建的驱动按预先生成的关节目标、速度与前馈力矩执行蹲起和推球，log step 110、122 增加髋与踝目标修改；log step 136 的评分试投采用更深蹲、前倾和踝部发力配置。视频 1.92–2.28 s 显示机器人伸腿推球后向前扑倒，服务结果为 fell；这些证据支持控制层失败，但不足以唯一确定失稳由哪个参数或控制环节导致。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 中没有状态日志或成功示范视频，评分器 reward 也未报告 distance_m 或 release_push_fraction。视频在机器人前扑、铅球尚未落地时结束，因此无法测量实际首次落点或精确出手速度；log step 136、138 的 LAND 与三角测量数值由 agent 自编脚本生成，不作为评分器原生指标。推断：可以确认全身失衡及两节点未完成，但无法进一步区分具体关节参数、接触受力或反馈控制机制的贡献。"
+ },
+ "summary_zh": "评分试投中机器人屈腿准备、用右侧开放掌垫从肩侧推出铅球，但在球尚未落地时向前扑倒，两项节点均未完成（0/2）。视频 2.08–2.28 s 的失衡与 log step 136 服务裁判的 fell 一致，断点为铅球达标落地，根因支持控制层失败。缺少状态日志及评分器原生距离、出手分量指标，不能把 agent 的飞行拟合数值当作实际落地成绩。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点均未达成、断点为铅球达标落地（操作中）、现象为平衡、根因停在控制，均与视频（2.0 s 伸腿推球后前扑、球仍在空中）和 log step 136 的 outcome=fell 一致；未发现需要改内容的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:11:02Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--jxnexpe/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--jxnexpe/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e94541b91b3aa119b0f43c10bed7f81cb46d9075d4074a54dae93f63d7ed217c",
+   "video_sha256": "37cabd253354220260e2d334c7a72caa8950d0645474a7404433d73b69c9573a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--mx5j9vs.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--mx5j9vs.json
new file mode 100644
index 0000000000000000000000000000000000000000..d33dc30a3354401e834979d3ea79b4605c2f7993
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--mx5j9vs.json
@@ -0,0 +1,212 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-standard--mx5j9vs",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 886,
+   "sim_steps": 18149,
+   "calls": 2950,
+   "rows": 17726,
+   "resets": 44,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7178.3,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.75,
+   "peak_processes": 13,
+   "peak_disk_gb": 1.081,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-standard--mx5j9vs/replay.mp4",
+  "duration_s": 8.88,
+  "fps": 25.0,
+  "frames": 222,
+  "sha256": "5f3a02d4a3118afe339f0972e015a38ad5097625fe6fee74ee88c3e0064154f0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s，机器人右掌在右肩颈侧承托铅球，双脚在圈内；视频 0.00–5.70 s，机器人保持该持球姿势向挡趾板方向迈步。"
+     },
+     {
+      "t": 8.36,
+      "log_step": null,
+      "text_zh": "观察：视频 7.00–8.24 s，机器人屈膝准备；视频 8.28–8.44 s，机器人伸腿并展开右臂，铅球与右掌分离；视频 8.56–8.84 s，球向挡趾板旁近处下坠，未飞到远处黄色资格线。"
+     },
+     {
+      "t": 8.84,
+      "log_step": null,
+      "text_zh": "推断：视频 8.84 s 的球仍仅在投掷圈前侧附近，结合视频 8.36–8.84 s 的短距离下坠轨迹，未达到至少 6.0 米的有效落地要求；不依赖先前重置试投的裁判结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–8.28 s，机器人开放右掌从下方承托肩颈侧铅球，随后随右臂伸展送出；视频 8.36 s 球已离掌，没有合拢抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–8.84 s，机器人双脚支撑圈内地面，持球向前迈步、屈膝后伸腿发力；开局铅球贴靠右肩颈侧躯干。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 8.84,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–8.84 s，机器人从圈内后部持球向前走至挡趾板旁并试投，末帧仍在圈内前侧，未向后半圈外退场，也未出现退场后连续站稳的片段。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "value": null,
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "release_push_fraction",
+   "value": null,
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 8.36,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 8.28–8.44 s，机器人伸腿、展开右臂后铅球离掌；视频 8.56–8.84 s，球向挡趾板旁的近地处下坠，未形成到达黄色资格线的投掷，后续没有修复或退场。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 8.36,
+    "log_step": null,
+    "evidence_zh": "观察：视频 8.36–8.84 s，机器人送出的铅球只在身体前侧附近作短距离飞行并快速下坠，末帧在挡趾板旁，明显未到黄色资格线所示目标距离。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 208 将最终入口接到力矩控制脚本，log step 222 启动最后一次试投并调整推掌力和伸腿时序；视频 8.28–8.84 s 可见机器人执行伸腿及右臂推送，但铅球仅近距离下坠，说明该动作未把足够的有效出射速度传给球。缺少最后试投的接触力与球速记录，无法进一步区分接触几何、轨迹或反馈控制。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志或成功示范视频；最后试投的日志截至 log step 224，仅打印了部分推送过程，没有该试投的终局裁判原因、精确首次落点或两项原生指标。视频可判断球明显未到目标距离，但不足以核实肩部出手速度分解、细微再接触和首次地面接触的精确时刻；此前试投的犯规原因不用于本次现象标签。"
+ },
+ "summary_zh": "评分视频中的机器人持球向圈前侧移动，屈膝后伸腿并用右臂送球；铅球仅在挡趾板旁短距离下坠，铅球达标落地与后半圈退场站稳均未完成。断点在投掷步骤，现象为位姿不准，推断为推送动作控制未形成足够有效出射速度。缺少最后试投的终局裁判反馈和状态日志，不能确定细微接触及具体控制子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点值（两节点均未完成）、断点（shot_landed_valid，操作中）、现象（位姿不准）和根因（控制，已注明无法细分）与视频和日志一致；没有发现需要修改的内容。最后一次试投的裁判原因未知，标签已在 gap_zh 中如实说明。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:04:45Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--mx5j9vs/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--mx5j9vs/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d8ce877be9ef6a61319b3655ed8c42110c5f4b08d664705824237f88d1ba389e",
+   "video_sha256": "5f3a02d4a3118afe339f0972e015a38ad5097625fe6fee74ee88c3e0064154f0",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--w9rlfph.json b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--w9rlfph.json
new file mode 100644
index 0000000000000000000000000000000000000000..31b059abff010ca290fbb6a4d7e60d67c3f5376f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/shot_put/trajectories/embodied-olympics-fun-shot-put-i00-standard--w9rlfph.json
@@ -0,0 +1,207 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-shot-put-i00-standard--w9rlfph",
+ "taskKey": "embodied-olympics-fun/shot_put",
+ "dag_sha256": "b330d54bdc4fab556e2c99f97d32becd13070b5a7fcba4a435eb7b97d8662afe",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 172,
+   "sim_steps": 693,
+   "calls": 26,
+   "rows": 493,
+   "resets": 5,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7154.6,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.527,
+   "peak_processes": 73,
+   "peak_disk_gb": 0.306,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-shot-put-i00-standard--w9rlfph/replay.mp4",
+  "duration_s": 1.76,
+  "fps": 25.0,
+  "frames": 44,
+  "sha256": "61395822e14f1ed787144e7a607f05ed977c69b150254505ca06f68a24f85ec2"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 2,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "shot_landed_valid": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.96 s，机器人站在投掷圈内，铅球位于右肩颈侧，右掌在球下方承托；随后右臂向前上方伸出。"
+     },
+     {
+      "t": 1.08,
+      "log_step": 271,
+      "text_zh": "观察：视频约 1.08–1.12 s，铅球离开机器人右掌，随后可见球在空中向扇区方向飞行；机器人在视频 1.20–1.72 s 持续倾斜并倒地，未见达标首次落地。log step 271 的最终现场 episode=6 返回 outcome=fell、stages_reached=1/3，服务阶段计数只到出手，未到有效落地；该原生三阶段计数不是本 DAG 的两节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–1.08 s，机器人右侧开放掌垫从下方承托肩侧铅球，并随右臂前上伸展将球送出；没有合拢夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.12 s，机器人双脚支撑投掷圈地面，腿和躯干随推球动作伸展、转动；视频约 1.20 s 后支撑未能维持，末尾倒在圈内。"
+     }
+    ]
+   },
+   "rear_exit_standing": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 271,
+      "text_zh": "观察：视频 0.00–1.72 s，机器人未在铅球有效落地后从后半圈退场并站稳，末帧已倒在投掷圈内。log step 251 的脚本和 log step 256 的修订将零速度 walk 用于等待落地，只有其未终止才发送后退命令；log step 271 的最终试投在等待落地的 walk 调用中因 fell 结束，未执行后退及退场站稳调用。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 6.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "release_push_fraction",
+   "unit": "1",
+   "threshold": 0.5,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "shot_landed_valid",
+   "t": 1.2,
+   "log_step": 271,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.08 s 机器人将球推出，视频约 1.20 s 起躯干明显倾斜，之后持续下倒至视频 1.72 s。最终现场 episode=6 在 log step 271 返回 fell、stages_reached=1/3，仍处于出手后等待落地的调用，尚未开始后退退场；投掷落地步骤未完成且未恢复。"
+  },
+  "unmet": {
+   "shot_landed_valid": false,
+   "rear_exit_standing": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.2,
+    "log_step": 271,
+    "evidence_zh": "观察：视频 1.20–1.72 s，机器人推出铅球后躯干逐渐大幅倾斜，双腿未能恢复直立支撑，最终身体倒在圈内地面；log step 271 的最终现场服务结果为 outcome=fell。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 251、256 的控制脚本在推球 lowcmd 后切换到零速度 walk 以恢复站立并等待落地；log step 271 最终试投使用 65 行推球命令，随后在该等待调用中摔倒。与视频 1.08–1.72 s 出手后倾斜持续增大、直至倒地相符，说明投掷动作及其后续站立控制未能维持全身稳定；无法进一步确定是轨迹、跟踪还是切换参数问题。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志及成功示范，场地远景不足以解析精确接触力、肩球相对速度和首次落地点；最终服务只报告阶段数与摔倒结果，未报告 distance_m 或 release_push_fraction，故两项指标留空。不能据本地模拟或其他重置试投的成绩为最终试投补值，也不足以细分控制根因。"
+ },
+ "summary_zh": "最终受评的是 log step 271 的第 6 次现场试投：机器人约在视频 1.08 s 将肩侧铅球推出，但尚未完成有效落地便失衡倒地，两个 DAG 节点均未完成。断点为铅球达标落地，现象为全身平衡失败，推断投掷及后续站立控制未能保持稳定；没有状态日志，无法细分控制原因或给出投掷原生指标。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频及服务读数一致：视频约1.08 s出手，1.2 s后倾倒，末帧倒在圈内；episode 6的sim_time 1.72 s与视频时长1.76 s对应，outcome=fell、stages 1/3。两节点未完成、断点shot_landed_valid/操作中/平衡均有证据支持。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:11:46Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--w9rlfph/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-shot-put-i00-standard--w9rlfph/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "684bb59a3c533bf386f8031db0f55219172e0e23a29296f5475b1282a641d986",
+   "video_sha256": "61395822e14f1ed787144e7a607f05ed977c69b150254505ca06f68a24f85ec2",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--ayufjsf.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--ayufjsf.json
new file mode 100644
index 0000000000000000000000000000000000000000..2efa24ad92dce64f134d566d184a6d1c93707922
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--ayufjsf.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-privileged--ayufjsf",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.5,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 420,
+   "sim_steps": 420,
+   "horizon": 1000,
+   "episode_over": 1,
+   "progress": 0.5,
+   "stages_reached": 2,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 5.33,
+   "bad_trajectory": 0,
+   "metric_grip_break_max_s": 0.055,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 61,
+   "agent_resets": 24,
+   "agent_replays": 1,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.489,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.24,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-privileged--ayufjsf/replay.mp4",
+  "duration_s": 4.24,
+  "fps": 25.0,
+  "frames": 106,
+  "sha256": "fe8e8abbed0409b0c79195bae7d25a7c7a17911d761097d649dabd27943f97e1"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": null,
+      "text_zh": "观察：视频全段粗查及视频3.00–4.20 s逐帧检查中，机器人在近侧底线附近侧移、抬起右手球拍并等待来球；双脚交替支撑，身体始终直立。"
+     },
+     {
+      "t": 4.12,
+      "log_step": null,
+      "text_zh": "观察：视频4.00、4.04、4.08 s网球逐渐接近右手球拍，视频4.12–4.16 s球从拍旁向上离开，拍面同时明显转动；截至最后一帧视频4.20 s，球仍在机器人近旁，未出现越网后在对场落地。"
+     },
+     {
+      "t": null,
+      "log_step": 101,
+      "text_zh": "观察：log step 101对交付trajectory.npz的独立CLI回放报告stages=[bounce,racket]、success=false、failed=the racket left your hand、executed_rows=420；评分器reward同样为stages_reached=2/4、deterministic=1及metric_grip_break_max_s=0.055。两项原生阶段不等于完成DAG的完整回球节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "观察：视频4.08–4.16 s机器人右手所持黄绿色球拍与来球相遇，球随后反向上飞；log step 101的交付回放确认racket阶段。候选：击打；现有怎么碰取值无击打，故用其他，持拍抓握不另重复记录。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–4.20 s机器人双脚接触场地地面，侧移、举拍及击球时由双腿与躯干支撑身体。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": 0.055
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.12,
+   "log_step": 101,
+   "where": "操作中",
+   "evidence_zh": "观察：视频4.08–4.20 s机器人正在持拍回击来球，击球后拍面迅速转动，球尚未越网落入对场就结束。log step 101交付文件独立回放明确以the racket left your hand终止，评分器记录最大有效握持中断0.055 s，超过DAG规定的0.05 s；失败步骤是完整回球。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 4.12,
+    "log_step": 101,
+    "evidence_zh": "观察：视频3.60–4.08 s球拍一直随机器人右手保持在身体侧前方，视频4.12–4.20 s击球后球拍明显转动。log step 101对交付文件的回放判定球拍脱手，评分器metric_grip_break_max_s=0.055；这是原有持拍接触丢失。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "log_step": 46,
+    "source_zh": "日志",
+    "evidence_zh": "推断：该击球动作的拍柄接触与承载布局未能承受碰球后的扰动。log step 43的grip_probe脚本沿用trial4控制器且始终设置右手闭合命令1；log step 46探针在击球前记录fing=1、tp=1，击球后先出现tp=0，随后fing=0、tp=0，其中fing是拍柄对手指的接触，tp是对拇指或手掌的接触。该探针与log step 97、101交付回放均报告同样的bounce/racket阶段及脱手失败，视频4.12–4.20 s也显示击球后拍面转动，支持接触承载不足；尚未验证具体可行的替代接触方案。"
+   }
+  ],
+  "gap_zh": "无状态日志；远景视频中手指和拍柄只有少量像素，不能独立分辨0.05 s有效握持中断，脱手细节由交付回放和评分器字段佐证。接触探针是同控制器的会话诊断，作为根因辅助证据；agent在log step 111提出的具体偏心碰撞及反冲力矩机制未独立核实，不能确定精确触点、力矩或替代方案。"
+ },
+ "summary_zh": "机器人完成侧移举拍，并在来球反弹后实际击中球，但未完成越网落入对场，完整回球节点终态为0/1。视频约4.12–4.20 s球拍在击球后明显转动，交付回放和评分器确认因握持中断超过0.05 s而失败；接触探针支持击球承载下持拍接触失效。无状态日志，精确手指接触与反冲机制仍有证据缺口。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点return_landed_in终态false、断点（操作中，球拍击球后脱手）、现象没保持住与根因抓取和接触设计均有grader字段（stages=[bounce,racket]、grip_break_max_s=0.055）和交付回放log step 101支持；时间用视频钟，未转换agent时间。远景下手指细节看不清已在gap_zh说明。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:00Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--ayufjsf/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--ayufjsf/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a3295ffef5446b81e4b341c9a8a1042f652d450b7e0f6489b3e29269c454fc02",
+   "video_sha256": "fe8e8abbed0409b0c79195bae7d25a7c7a17911d761097d649dabd27943f97e1",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--bi5dkdk.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--bi5dkdk.json
new file mode 100644
index 0000000000000000000000000000000000000000..746fee384a23c4bd7c0dcafe8752a46557246096
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--bi5dkdk.json
@@ -0,0 +1,195 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-privileged--bi5dkdk",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 567,
+   "sim_steps": 567,
+   "horizon": 1000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 7.83,
+   "bad_trajectory": 0,
+   "metric_grip_break_max_s": 0.001,
+   "metric_landing_x_m": 16.732,
+   "metric_landing_y_m": 3.82,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 51,
+   "agent_resets": 794,
+   "agent_replays": 6,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.79,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.272,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-privileged--bi5dkdk/replay.mp4",
+  "duration_s": 5.68,
+  "fps": 25.0,
+  "frames": 142,
+  "sha256": "3d66c352ae3c99f43dc10e7b2567fa2551cf6ef3df471926c9e1ea2f6063ee89"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.6,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在近侧底线后，右手连接黄绿色球拍；视频 0.40–2.40 s 机器人逐步侧移，视频 2.80–3.92 s 抬起并向侧前方展开持拍臂。"
+     },
+     {
+      "t": 4.04,
+      "log_step": null,
+      "text_zh": "观察：视频 3.96–4.12 s 机器人持拍臂与拍面向前运动，随后保持伸拍姿态；视频 4.68–5.64 s 机器人仍直立，球拍仍随右手。远景中的网球过小，不能仅凭这些帧独立辨明拍球接触、过网和首次触地。"
+     },
+     {
+      "t": null,
+      "log_step": 88,
+      "text_zh": "观察：log step 88 对最终交付轨迹的复验由基准裁判返回 success=true、failed=null，阶段依次为 bounce、racket、over the net、in，落点为 (16.732, 3.820) 米；log step 81、83 的同一交付文件复验给出相同终态哈希。inputs/run.json 的最终评分字段亦为 success=1、replay_success=1、deterministic=1、stages_reached=4/4，落点与复验一致。"
+     },
+     {
+      "t": 5.6,
+      "log_step": 88,
+      "text_zh": "推断：最终评分和交付复验共同确认已完成先弹地、持拍回击、合法越网及对场界内首次落地，因此回球落入对场节点为真。视频 5.28–5.64 s 已检查末段及末帧，以视频约 5.60 s 作为完成锚点（约半秒精度）；球体在远景中过小且落点接近球网遮挡区域，无状态日志，不能逐帧确定首次触地时刻。此处未把 agent 工作时钟换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "推断：候选“击打”；现有接触方式无击打项。视频 3.96–4.12 s 机器人右手持黄绿色球拍向前挥动，结合最终评分四阶段通过及 log step 88 的 racket 阶段确认球拍实际撞击网球；远景无法区分拍弦与拍框的具体接触部位。持拍抓握属于同一工具链，不另重复标注。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.40–2.40 s 机器人双脚交替踏步侧移；视频 3.96–5.64 s 双腿和躯干支撑持拍动作，脚部与场地接触，机器人保持直立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": 0.001
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": 16.732
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": 3.82
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人侧移后抬拍、前挥并继续保持站立，最终评分及交付轨迹复验均确认 bounce→racket→over the net→in，唯一节点“回球落入对场”完成，落点为 (16.732, 3.820) 米。节点完成锚点取视频约 5.60 s；本次无状态日志，远景中球体过小且落点接近球网遮挡区域，具体击球部位和首次落地时刻不能由画面独立精确分辨，合法回球结果结合评分器与交付复验确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一节点 return_landed_in 为真，依据评分器 4/4 阶段与 log 复验，视频锚点约 5.6 s 合理，contact_actual（其他+击打、腿/躯干支撑）与推断标注恰当，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:06:56Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--bi5dkdk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--bi5dkdk/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "428330a3a1d65961c387720f80ee9278e0bfe5135d381e4efb6e7d4498c36100",
+   "video_sha256": "3d66c352ae3c99f43dc10e7b2567fa2551cf6ef3df471926c9e1ea2f6063ee89",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--csyjhru.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--csyjhru.json
new file mode 100644
index 0000000000000000000000000000000000000000..fad1c70732b49d87e0847aec5c88d5d42cdb1970
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--csyjhru.json
@@ -0,0 +1,195 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-privileged--csyjhru",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 553,
+   "sim_steps": 553,
+   "horizon": 1000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 16.15,
+   "bad_trajectory": 0,
+   "metric_grip_break_max_s": 0.003,
+   "metric_landing_x_m": 15.549,
+   "metric_landing_y_m": 4.185,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 212,
+   "agent_resets": 0,
+   "agent_replays": 18,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.766,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.9,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-privileged--csyjhru/replay.mp4",
+  "duration_s": 5.56,
+  "fps": 25.0,
+  "frames": 139,
+  "sha256": "9dc90842437adfcfd9ced9231073adf4a3a4c47e80cb0bcecb9179616dd49b64"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.52,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.4,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.60 s，机器人从近侧底线附近向场内侧移，右手连着黄绿色球拍并将拍面摆到来球方向；双脚交替落地支撑。"
+     },
+     {
+      "t": 4.04,
+      "log_step": 319,
+      "text_zh": "观察：视频 3.60–3.96 s，细小来球向机器人持拍侧接近；视频 4.00–4.12 s，球在拍面附近改变方向，随后升起飞向球网。log step 319 读取的是 log step 318 对最终交付文件运行的官方重放结果，裁判事件依次记录仿真 3.682 s 的 bounce（己方弹地）及仿真 4.006 s 的 racket（球拍击球），与上述画面顺序一致。"
+     },
+     {
+      "t": 5.52,
+      "log_step": 319,
+      "text_zh": "观察：已逐帧检查视频 4.40–5.52 s，机器人保持站立，球拍仍在右手附近，回球飞向球网及远侧区域；远侧落地区域细小且部分被球网遮挡，画面不能独立判定精确触地瞬间。log step 319 的最终文件官方重放报告 success=true、failed=null，四阶段 bounce、racket、over the net、in 全通过，落点 x=15.549 m、y=4.185 m；本次评分字段也报告 replay_success=1、deterministic=1、stages_reached=4/4。"
+     },
+     {
+      "t": 5.52,
+      "log_step": 319,
+      "text_zh": "推断：结合视频末段回球轨迹与最终交付文件的官方重放成功结果，将回球落入对场节点记为约视频 5.52 s 达成并锁存，时刻精度约 0.1 s；落点在 DAG 指定的远侧单打界内。该判断依据评分器结果补足远景落地细节，不采用会话中其他调参试验的结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "观察：视频 4.00–4.12 s，机器人以右手持有的黄绿色球拍回击网球，球从拍面附近向球网方向飞走；log step 319 的最终文件官方重放确认 racket 阶段。候选：击打；现有怎么碰取值没有击打，按 S16 使用其他，持拍链路不重复标抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.60–4.20 s，机器人双腿带动侧移及转身，双脚交替接触球场地面；视频 4.40–5.52 s 继续以脚部接地支撑持拍身体，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": 0.003
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": 15.549
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": 4.185
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人侧移迎球并用右手持拍完成回击，回球越网后落入远侧单打场内，唯一节点于约视频 5.52 s 达成，最终为 1/1。最终交付文件的官方重放（log step 319）及本次评分均确认四阶段全通过，落点为 x=15.549 m、y=4.185 m，最大握持接触中断为 0.003 s，未超过 0.05 s 阈值。无状态日志，远景及球网遮挡使精确落地和毫秒级接触不能仅由画面判定，相关验收由官方重放与评分字段补充。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一节点于约视频 5.52 s 达成（裁判 in 事件仿真 5.521 s，与视频时长 5.56 s 吻合）；接触标注（其他+击打按 S16、腿/躯干支撑）合理，无失败层，结论一致。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:25Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--csyjhru/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--csyjhru/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "4dc2d5fb461f3a2097e53a9a002b5605e055704a561b04041466a135cadd8b9b",
+   "video_sha256": "9dc90842437adfcfd9ced9231073adf4a3a4c47e80cb0bcecb9179616dd49b64",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--ec979hs.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--ec979hs.json
new file mode 100644
index 0000000000000000000000000000000000000000..3271b31130af70a69cefbdb0ad63593d865ca8b2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--ec979hs.json
@@ -0,0 +1,217 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-privileged--ec979hs",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.5,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 529,
+   "sim_steps": 529,
+   "horizon": 1000,
+   "episode_over": 1,
+   "progress": 0.5,
+   "stages_reached": 2,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 10.47,
+   "bad_trajectory": 0,
+   "metric_grip_break_max_s": 0.003,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 71,
+   "agent_resets": 977,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.801,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.256,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-privileged--ec979hs/replay.mp4",
+  "duration_s": 5.32,
+  "fps": 25.0,
+  "frames": 133,
+  "sha256": "a592ffaff9db284982ba6cc04647047cd595de8e0ec0c406cda853a779fa061f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.68,
+      "log_step": null,
+      "text_zh": "观察：视频约3.52–3.84 s，来球进入近侧蓝色场地并弹起，机器人已侧移到来球路径附近，右手持黄绿色球拍准备回击。"
+     },
+     {
+      "t": 4.12,
+      "log_step": null,
+      "text_zh": "观察：视频4.08–4.20 s，来球到达机器人右手球拍附近后改变运动方向，随后离开球拍向球网方向飞行；机器人继续站立持拍。"
+     },
+     {
+      "t": 5.28,
+      "log_step": null,
+      "text_zh": "推断：逐帧检查视频4.32–5.28 s，回球先升起后下降，末段球点回到近侧发球线附近，未完成越网及对场首次落地；评分器stages_reached=2/4、success=0与此一致，因此完整回球节点从未达到。"
+     },
+     {
+      "t": null,
+      "log_step": 219,
+      "text_zh": "观察：log step 219中agent脚本更新并保存最终挥拍轨迹，log step 227再次执行同一生成脚本，log step 232确认交付文件含529行有限数值动作；评分器n_actions=529、deterministic=1。本标签依据交付视频，不将此前会话中的多次重置测试计入节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "候选：击打。视频约4.12 s，机器人以右手所持球拍撞击来球，球随后反向飞离；持拍抓握属于同一工具接触链，不重复标注。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "视频0.00–5.28 s，机器人双腿交替迈步侧移，双脚接触地面，支撑持拍准备和回击过程。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": 0.003
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.12,
+   "log_step": 219,
+   "where": "操作中",
+   "evidence_zh": "推断：机器人在视频约4.12 s持拍回击，但视频4.32–5.28 s的回球弧线没有完成越网，末段下降到己方场地；评分器只确认2/4阶段且episode_over=1。失败发生于这次回球操作，至结束未修复。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 5.28,
+    "log_step": null,
+    "evidence_zh": "推断：视频4.12 s机器人已击中来球，视频4.32–5.28 s球飞向球网后仍下降到己方近侧场地，回球弧线与落点未到达对场；评分器stages_reached=2/4支持未越网。这里是击中后的回球过短，而非未接触来球。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 219的交付脚本以预设肩俯仰、躯干转动及固定腕角执行一次挥拍；视频约4.12 s确已击球，但视频4.32–5.28 s的飞行距离不足以越网。该挥拍产生的出球运动未达到所需回球范围，归于控制；现有证据不能进一步分清拍面姿态、拍速或接触点各自的影响。",
+    "source_zh": "视频"
+   }
+  ],
+  "gap_zh": "没有状态日志。网球在640×360、25 fps远景中仅占少数像素，视频约5.28 s的触地时刻及具体落点只能近似判断，不能辨认毫秒级接触和精确拍面姿态；评分记录未报告landing_x_m、landing_y_m或具体判负原因。log step 222的重放调用只附后台启动信息，log step 233的精确击球速度和时刻属于agent自述，未据此填入原生指标或精确视频时间。"
+ },
+ "summary_zh": "机器人侧移持拍，完成来球弹地后的击球，但回球过短，未越网落入对场，完整节点最终为0/1；原生四阶段只达到2/4。断点是视频约4.12 s的回击，归为位姿不准和控制问题；没有状态日志，远景视频无法确定更细的拍面、拍速或接触点原因。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点未达成、断点（回击，约4.12 s）、接触标签与位姿不准+控制的推断都与视频和评分器2/4一致；远景下球仅数像素，细因已在gap_zh中如实保留。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:02:11Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--ec979hs/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--ec979hs/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ccc4e8f484a3ed2535d05d5459ad5449b6bebcf61b2adc14a47ead6a82d74499",
+   "video_sha256": "a592ffaff9db284982ba6cc04647047cd595de8e0ec0c406cda853a779fa061f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--edunhme.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--edunhme.json
new file mode 100644
index 0000000000000000000000000000000000000000..c09e586ac060065cc21c88883ac85583b6dec2cb
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--edunhme.json
@@ -0,0 +1,190 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-privileged--edunhme",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 544,
+   "sim_steps": 544,
+   "horizon": 1000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 7.98,
+   "bad_trajectory": 0,
+   "metric_grip_break_max_s": 0.001,
+   "metric_landing_x_m": 18.286,
+   "metric_landing_y_m": 1.802,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 22,
+   "agent_resets": 0,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.945,
+   "peak_processes": 20,
+   "peak_disk_gb": 0.24,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-privileged--edunhme/replay.mp4",
+  "duration_s": 5.48,
+  "fps": 25.0,
+  "frames": 137,
+  "sha256": "4ce2d8d503b495ebd0f53719cba23157d75eb85554cf8f0a4895692f1472b316"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.44,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.04,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.36 s，机器人从近侧底线附近向场内并向画面左侧移动，右手持黄绿色球拍；视频 3.64–4.12 s 的逐帧图中，来球靠近球拍，机器人转动上身挥拍，视频 4.04 s 可见球已离开拍面上方，随后向球网方向飞离。"
+     },
+     {
+      "t": 5.44,
+      "log_step": 43,
+      "text_zh": "观察：视频 4.32–5.44 s 已逐帧检查，机器人仍持拍直立，末段远侧蓝色场地可见极小球点，但触地瞬间难以独立分辨。log step 43 的工具输出记录已保存交付轨迹的原生重放裁判结果：success=true、failed=null，阶段依次为 bounce、racket、over the net、in，执行544行，落点为 x=18.286 m、y=1.802 m；inputs/run.json 的最终评分同为 success=1、replay_success=1、stages_reached=4/4、deterministic=1。"
+     },
+     {
+      "t": 5.44,
+      "log_step": 45,
+      "text_zh": "推断：结合视频约 4.0 s 的实际挥拍及离拍球路、视频结束前仍持拍站立、最终评分的四阶段全部通过，回球落入对场节点在视频末尾已完成，以所检查的终帧视频 5.44 s 为约略到达锚点，时间精度不作毫秒解释。log step 44 记录重新生成的544行交付动作完全一致，log step 45 记录两次交付重放均成功且终态哈希相同，因此采用交付重放结果辅助判断，而非早期调试候选的结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "观察：视频 3.96–4.12 s，机器人右手持球拍挥动，网球从拍前离开；结合 log step 43 交付重放裁判的 racket 阶段确认球拍击球。候选：击打；现有接触方式没有短时撞击的对应项，故用其他。握拍属于同一工具接触链路，不重复列抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.44–3.36 s，机器人双腿交替迈步移动到接球位置；视频 3.96–5.44 s，双脚在近侧球场交替着地，双腿与躯干支撑挥拍和随后的直立姿态。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": 0.001
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": 18.286
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": 1.802
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人移动到接球位置并持拍挥击，交付轨迹通过弹地、击球、越网、界内落地四阶段，唯一节点“回球落入对场”在视频约 5.44 s 达成，终态为1/1。最终评分成功且两次交付重放结果一致，原生落点为 x=18.286 m、y=1.802 m，最大握拍接触中断为0.001 s。无状态日志，640×360、25帧/秒远景中的球及手部接触较小，精确触地时刻和毫秒级接触依赖原生裁判结果，未把会话调试失败计入本次轨迹。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "成功运行，唯一节点 return_landed_in 终态 true，有评分四阶段全过与帧证据支持；时间锚点标注为约略，接触标注合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:09:15Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--edunhme/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--edunhme/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b126ba2ce77f5cfdc62da07b6a7fa13cbda75aebbf267bc9acfe2be961b4ea37",
+   "video_sha256": "4ce2d8d503b495ebd0f53719cba23157d75eb85554cf8f0a4895692f1472b316",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--rigzohc.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--rigzohc.json
new file mode 100644
index 0000000000000000000000000000000000000000..676e83a01bb25912358d5f71ad017e5aeedc6555
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-privileged--rigzohc.json
@@ -0,0 +1,190 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-privileged--rigzohc",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 583,
+   "sim_steps": 583,
+   "horizon": 1000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 7.97,
+   "bad_trajectory": 0,
+   "metric_grip_break_max_s": 0.001,
+   "metric_landing_x_m": 15.671,
+   "metric_landing_y_m": 1.554,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 332,
+   "agent_resets": 5660,
+   "agent_replays": 11,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 5.213,
+   "peak_processes": 38,
+   "peak_disk_gb": 0.984,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-privileged--rigzohc/replay.mp4",
+  "duration_s": 5.84,
+  "fps": 25.0,
+  "frames": 146,
+  "sha256": "e0e26d684de98b6097d2842291f0d4cf062e5689800523839bf07608ac8220ea"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.68,
+      "log_step": 269,
+      "text_zh": "推断：视频3.44–3.88 s连续帧中，来球进入近侧蓝色场地后朝机器人方向运动；球很小，单帧不足以独立确认触地。log step 269读取最终候选重放的原生裁判事件，记录仿真3.682 s完成bounce；其落点指标与最终评分一致，结合视频支持来球已在己方反弹。"
+     },
+     {
+      "t": 4.08,
+      "log_step": 275,
+      "text_zh": "观察：视频4.00–4.12 s，球接近机器人右手所持球拍，机器人右臂挥拍，随后球离开拍旁向场内飞出；视频4.16–4.40 s机器人继续随挥，球拍仍随右手运动。log step 275对最终583行交付文件重放，原生裁判依次确认bounce、racket、over the net、in。"
+     },
+     {
+      "t": 5.8,
+      "log_step": 277,
+      "text_zh": "推断：已逐帧检查视频4.80–5.80 s，机器人始终在近侧持拍站立；远侧球的像素很少，末段低位球受球网遮挡，无法仅凭末帧精确识别落地。最终评分success=1、replay_success=1、deterministic=1、stages_reached=4/4，落点为x=15.671 m、y=1.554 m，均在DAG指定对场范围内；log step 275和log step 277对最终交付文件的两次重放成功且终态哈希相同。因此节点在视频末端约5.8 s达到并锁存，时刻为近似值。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "候选：击打；现有接触方式没有击打取值。视频4.00–4.12 s机器人右手握持的黄绿色球拍迎击网球，球随后向场内飞出；最终交付重放的racket阶段确认球拍触球。工具与球的接触链路仅标一次，不另重复持拍抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–3.20 s机器人双腿交替踏地侧移调整接球位置；视频3.44–5.80 s双脚与球场地面交替或共同接触，双腿、躯干支撑挥拍及随挥，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": 0.001
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": 15.671
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": 1.554
+  }
+ ],
+ "failure": null,
+ "summary_zh": "本次评分轨迹完成“回球落入对场”节点，最终1/1：机器人侧移就位后右手持拍回击，最终评分及交付文件的两次一致重放均确认四个裁判阶段全部通过。节点完成时刻标为视频约5.8 s；评分落点x=15.671 m、y=1.554 m在对面单打场内，最大握拍接触中断0.001 s低于0.05 s阈值。没有状态日志，远景视频无法独立分辨毫秒级接触和被球网遮挡的远侧触地，故接触合法性及精确落点由评分器字段和最终交付重放结果补充。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，唯一目标节点 return_landed_in 终值 true；裁判事件（log step 269：bounce 3.682、racket 4.066、over the net 5.364、in/success 5.821 仿真秒）与视频约 5.8 s 一致，接触标注（手持工具 其他/击打、腿/躯干 支撑）合理，无失败层，无问题。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:08:56Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--rigzohc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-privileged--rigzohc/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f88e7c20444d58ed35c0f4399c159009ba018af1b6c8a0059ef3e563ede7a36e",
+   "video_sha256": "e0e26d684de98b6097d2842291f0d4cf062e5689800523839bf07608ac8220ea",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--7ikprsn.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--7ikprsn.json
new file mode 100644
index 0000000000000000000000000000000000000000..18d4fd26549b515be23d560f8ed6da289c7dd693
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--7ikprsn.json
@@ -0,0 +1,208 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--7ikprsn",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 491,
+   "sim_steps": 22421,
+   "calls": 121,
+   "rows": 10960,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 4197.2,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.689,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.364,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--7ikprsn/replay.mp4",
+  "duration_s": 4.92,
+  "fps": 25.0,
+  "frames": 123,
+  "sha256": "2b25b237fa2fe90a8257506f3a95ddab94d024211e036e4f555ebcd9429c74fc"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.60 s，机器人握拍沿近侧底线横移，来球进入己方半场；机器人已经开始拦截回球。"
+     },
+     {
+      "t": 4.12,
+      "log_step": null,
+      "text_zh": "观察：逐帧查看视频 3.96–4.32 s，来球经过机器人持拍侧旁并继续朝近侧底线外飞行，没有出现朝球网方向的回球；视频 4.32–4.88 s，机器人仍站立，远侧场地没有回球落入。"
+     },
+     {
+      "t": 4.88,
+      "log_step": 684,
+      "text_zh": "观察：log step 678 启动最后一次 Episode 51，log step 684 的机器人服务状态为 episode=51、control_steps=491、done=True、reason=failed；评分器字段 live_success=0、graded_by_live=1。该状态与本次视频末段未完成回球一致，不能把此前重置试验的击球进展计入本次。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.88 s，机器人双脚交替接触球场地面，双腿与躯干支撑持拍横移及摆臂；来球从旁掠过，未观察到球拍与球实际击打接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.12,
+   "log_step": 678,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 4.08–4.32 s，机器人正在持拍拦截来球，但球从持拍侧旁掠过并继续向近侧场外飞行，没有被回击越网；直到视频 4.88 s 均未修复。log step 678 是最后一次 Episode 51 的执行调用，log step 684 确认该局已失败。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 4.12,
+    "log_step": null,
+    "evidence_zh": "观察：视频 3.96–4.32 s 的连续帧显示，运动中的球到达机器人身旁后继续掠向近侧场外，机器人的持拍动作没有在球经过时将其拦截回击；这是对来球的漏接。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 676,
+    "evidence_zh": "推断：log step 676 的最后一局脚本按预设横移、关节插值和转体序列一次性提交全部动作，没有根据本局来球观测修正拦截；log step 678 执行该脚本，而视频 4.08–4.32 s 显示来球未被拦截。该持拍拦截控制未使球拍在来球经过时与球相交；证据不足以进一步区分接触几何、轨迹跟踪或具体参数的问题。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "本次没有状态日志，且日志未收录最后一次 Episode 51 返回的具体 outcome 与 stages_reached，只在 log step 684 保留 reason=failed；此前试验的脱拍、己方落地等判词不能移用于本次。视频 4.32 s 后球离开画面，无法直接确认终止时的第二次落地，也无法从远景区分拦截偏差的具体控制子类；原生握持中断时长与落点坐标均未报告。"
+ },
+ "summary_zh": "本次评分采用最后一次现场 Episode 51：机器人持拍横移接球，但唯一目标“回球落入对场”未完成，最终为 0/1。视频约 4.08–4.32 s 来球从机器人持拍侧旁掠过，断点在回球操作中，现象为动态时机，根因仅能归于持拍拦截控制未奏效。缺少该局具体裁判判词及状态日志，不能把此前试验的脱拍或己方落地归入本次。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点 return_landed_in、现象动态时机（来球从身旁掠过，符合 CASES 3fc229d319d2）与根因控制均有帧和日志依据，未发现需改内容的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:07:46Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--7ikprsn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--7ikprsn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "7b11a5a043e07b7dd2fec625cb86f30276f6ed65612a4ba8f613595e6a869ade",
+   "video_sha256": "2b25b237fa2fe90a8257506f3a95ddab94d024211e036e4f555ebcd9429c74fc",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--cfmnhv6.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--cfmnhv6.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc07953ae223d73c7099925001ed2a22b7aa7baa
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--cfmnhv6.json
@@ -0,0 +1,215 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--cfmnhv6",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 497,
+   "sim_steps": 3073,
+   "calls": 414,
+   "rows": 2484,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1658.3,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--cfmnhv6/replay.mp4",
+  "duration_s": 5.0,
+  "fps": 25.0,
+  "frames": 125,
+  "sha256": "59c4a4c2de9d896a44e921bcfe6aa69381c565fb3f6d94e219dc9b9a9c78618b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.6,
+      "log_step": 68,
+      "text_zh": "观察：视频 0.0–2.6 s，机器人持拍侧移；视频 3.0–4.2 s，机器人转动上身、摆动右臂迎击来球，确实尝试回球。"
+     },
+     {
+      "t": 4.12,
+      "log_step": 68,
+      "text_zh": "观察：视频 3.96–4.08 s，来球接近机器人右手球拍；视频 4.12–4.32 s，球与球拍分离后向画面近端继续飞行，越过己方底线的投影，未朝远侧球网回飞。视频 4.36–4.96 s 未见球进入对场，机器人仍站立持拍。"
+     },
+     {
+      "t": 4.96,
+      "log_step": 68,
+      "text_zh": "观察：log step 68 执行最后一次 reset，服务返回 episode 6、resets_left 0，并在挥拍后返回 done=True、outcome 为“the ball landed on your own side”、stages_reached=2；log step 69 再查服务状态为 episode 6、failed。该次动作与视频侧移、挥拍、球向己方后方飞行一致，支持已完成反弹和球拍击球，但未完成越网与对场界内落地，故节点从未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "候选：击打；现有怎么碰取值无击打。视频约 4.08–4.12 s，机器人右手持黄绿色球拍迎击网球，随后球拍与球分离；log step 68 的裁判阶段数2确认球拍已击球。工具—球接触只记一次，不重复记录握拍。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–4.96 s，机器人双脚接触球场地面，双腿及躯干支撑侧移、摆拍和挥拍；本次视频末尾仍站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.1,
+   "log_step": 68,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 4.08–4.12 s，机器人右手球拍迎击来球，但视频 4.12–4.32 s 的出球继续向己方底线后方飞行，没有回向球网；log step 68 中该次现场尝试的服务结果为“the ball landed on your own side”，裁判阶段止于2，回球落入对场未完成。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 4.12,
+    "log_step": 68,
+    "evidence_zh": "观察：视频 4.12–4.32 s，球拍挥过后，球向己方底线后方飞去，未被送往远侧场地；log step 68 的现场裁判确认球拍已击球，随后判“the ball landed on your own side”。出球方向未达到越网回球的目标。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 68,
+    "evidence_zh": "推断：agent 的击球动作生成未能得到有效的回球。log step 66 的控制脚本用假定的后续骨盆转角求球拍姿态并按预设关节曲线挥拍；log step 68 在挥拍前重算时，其自身模型输出球拍中心[0.960,-0.092,1.268]与预测球位置[1.046,-0.079,1.249]，已有约0.09米偏差，仍执行该挥拍。视频 4.12–4.32 s 显示实际出球继续向己方后方飞行；agent 在 log step 71 自述假设脚部会随腰部转动、最终偏心击球。模型偏差和自述支持击球控制不准，但不能证明实际接触点或区分拍面姿态、速度与跟踪误差，故仅标控制。",
+    "source_zh": "日志 / 视频 / agent 自述"
+   }
+  ],
+  "gap_zh": "无状态日志；25 fps固定远景无法分辨毫秒级球拍接触、拍面朝向及碰撞瞬间速度，实际偏心量也未独立测得。球在视频约 4.32 s 后离开可辨范围，己方落地判负由最后一次现场尝试的服务结果确认；三个原生指标均未在评分字段中报告。"
+ },
+ "summary_zh": "本次评分对应第六次现场尝试：机器人侧移后持拍挥击，裁判确认反弹和球拍击球，但完整节点“回球落入对场”未达，最终为0/1。视频约 4.1 s 击球后的球继续向己方后方飞行，服务判球落在己方；断点为回球操作，现象为位姿不准，日志中的姿态求解偏差支持控制层面的归因。缺少实际接触状态及拍面速度，不能进一步确定击球误差的具体来源。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点“回球落入对场”未达（final=false）、断点 return_landed_in/操作中、现象位姿不准、根因控制均有视频 4.08–4.32 s（球拍击球后球向己方底线外飞行）和 log step 68/71 的服务结果支持；时钟均为视频时间，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:07:21Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--cfmnhv6/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--cfmnhv6/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c491946f3ececc30a4d3191ba40e7ba988bd46969be7aa837eacf05bc66a03af",
+   "video_sha256": "59c4a4c2de9d896a44e921bcfe6aa69381c565fb3f6d94e219dc9b9a9c78618b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--em5spcw.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--em5spcw.json
new file mode 100644
index 0000000000000000000000000000000000000000..673bb188bb94bf9dba9d51ec9013427f43e49e5b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--em5spcw.json
@@ -0,0 +1,216 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--em5spcw",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 424,
+   "sim_steps": 2484,
+   "calls": 153,
+   "rows": 123,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4742.0,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.292,
+   "peak_processes": 11,
+   "peak_disk_gb": 1.392,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--em5spcw/replay.mp4",
+  "duration_s": 4.28,
+  "fps": 25.0,
+  "frames": 107,
+  "sha256": "096c9f048939bf05d93f35653c2c9da2eab7b553a4e57dd5c87e5901a46e83ca"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 163,
+      "text_zh": "观察：视频 0.00 s 机器人在近侧底线后站立，右手已持黄绿色球拍；随后侧移、转体并摆拍准备接发。log step 163 为第6次现场尝试的重置，前5次尝试不属于本段评分视频。"
+     },
+     {
+      "t": 4.08,
+      "log_step": 184,
+      "text_zh": "观察：视频 3.60–4.08 s 来球接近机器人，机器人右臂挥拍；视频 4.08–4.24 s 球从拍旁向球网方向上升，尚在己方半场上空。log step 184 的现场传感读数在控制步408出现短暂持拍接触中断；log step 190 裁判确认 stages_reached=2、stages_total=4，即反弹及球拍击球通过，越网及界内落地未通过。"
+     },
+     {
+      "t": 4.24,
+      "log_step": 190,
+      "text_zh": "观察：视频 4.24 s 结束时球尚未越网，未出现远侧首次落地；log step 190 的现场服务返回 done=true、outcome=\"the racket left your hand\"。推断：本次未完成回球落入对场。控制步424×0.01 s=视频 4.24 s，与末帧及视频约4.08 s的挥拍转向事件核对；采用的是本局控制步计数，不是agent工作时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "观察：机器人右手持黄绿色球拍挥向来球，视频约4.08 s球在拍旁改变飞行方向；log step 190 的现场裁判确认球拍击球阶段。候选：击打；现有怎么碰取值没有短时撞击球的对应项，按S16使用其他，不重复记录右手握拍链路。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.24 s 机器人以双脚接触球场地面，双腿及躯干支撑侧移、转体和右臂挥拍，未见身体倒地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.2,
+   "log_step": 190,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 4.08–4.24 s 机器人击球后继续随挥，球尚在己方上空，球拍相对右手的朝向快速变化；log step 189–190 的本局持拍传感值持续为0，现场裁判在控制步424以“the racket left your hand”终止，原生阶段仅2/4。推断：回球步骤在随挥持拍未能维持处失败，未修复，也未完成越网落地。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 4.2,
+    "log_step": 190,
+    "evidence_zh": "观察：视频 0.00–4.04 s 机器人右手持拍并完成摆拍，视频 4.08–4.24 s 击球后球拍在手旁转动；log step 188 的本局持拍传感值曾恢复为1，而log step 189–190 连续读为0，最终现场裁判明确判定球拍脱手。推断：已经建立的持拍接触在随挥时丢失，属于没保持住。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 4.2,
+    "log_step": 190,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：挥拍及回摆控制未能在击球后维持右手与拍柄的有效接触。log step 178 的实际挥拍脚本每行保持右手闭合命令1，log step 185、187、189 切换并继续执行回摆跟随控制；log step 188 显示接触一度恢复，log step 189–190 却再次持续丢失并被裁判终止，视频 4.08–4.24 s 可见球拍随挥转动。现有证据支持控制层失败，不能进一步分清握持几何、负载承受或腕部反馈跟踪各自的作用。"
+   }
+  ],
+  "gap_zh": "本工作目录没有状态日志；25 fps固定远景无法逐点辨认手指、拇指与拍柄接触或测量最大连续脱离时长，脱手判定以本局现场裁判和持拍传感读数补充。评分字段未报告grip_break_max_s、landing_x_m、landing_y_m，均保留null；根因仅能定位到控制层。"
+ },
+ "summary_zh": "观察：本次评分视频对应第6次现场尝试，机器人侧移、摆拍并在视频约4.08 s完成击球；现场裁判确认反弹、球拍击球两个阶段，但唯一语义节点“回球落入对场”未完成，终态0/1。推断：机器人在击球后的随挥中未保持住球拍，视频约4.20 s处为失败断点，现场裁判在视频4.24 s对应的控制步终止。没有状态日志，精确接触中断时长及控制子类无法独立确定。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点（击球后随挥脱拍，控制步424=视频4.24 s）、接触没保持住、根因控制均有 log step 187-190 的服务读数和视频帧支持；时钟换算说明了控制步×0.01 s 并核对了事件。未发现需改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:02:15Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--em5spcw/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--em5spcw/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8c0d97abcd848bcdd831b8b0e5de5e5d815e60774c31048e98982773be821c87",
+   "video_sha256": "096c9f048939bf05d93f35653c2c9da2eab7b553a4e57dd5c87e5901a46e83ca",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--fnysw3f.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--fnysw3f.json
new file mode 100644
index 0000000000000000000000000000000000000000..ecc17647e60d81cd84c6d201661519f785bb60c7
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--fnysw3f.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--fnysw3f",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 398,
+   "sim_steps": 20592,
+   "calls": 240,
+   "rows": 19270,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 4662.4,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--fnysw3f/replay.mp4",
+  "duration_s": 4.0,
+  "fps": 25.0,
+  "frames": 100,
+  "sha256": "1ac16a5d1f4c302fd9f102dc990b3cb859d81e3d17a09e9cd40210eba57a8dce"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人右手已持球拍；视频 0.40–3.60 s 机器人向场内移动并将拍面保持在肩侧，开始了接发回球尝试。"
+     },
+     {
+      "t": 3.9,
+      "log_step": null,
+      "text_zh": "观察：已检查视频全程的粗采样及视频 3.00–3.96 s 的全部帧；视频 3.76–3.96 s 来球亮点接近机器人头部附近，拍面位于画面中机体左侧，未见球被回击飞向球网，也未见对场落地。推断：完整的回球落入对场条件从未达到；成功参考视频中可见的伸拍回击及其后续飞行在本次没有出现。"
+     },
+     {
+      "t": null,
+      "log_step": 315,
+      "text_zh": "观察：run.json 的 reward 记录 graded_by_live=1、live_success=0、finalized=1；log step 313 执行最后一次 reset 和提交，log step 314–315 中 agent 自述最后一次于仿真 3.98 s 因“the ball touched you”结束且只到阶段 1。较早测试到阶段 2 的说法属于另一轮尝试（log step 310），不计入本次视频；最后一次接口原始输出为空，触球部位不能仅凭该自述确认。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频 0.00–3.96 s 右手持住拍柄并带动球拍移位，未见球拍脱离手部。本次没有可确认的球拍与网球接触，仅记录实际持拍抓握，不另记工具击球接触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.96 s 机器人双脚交替接触球场，双腿和躯干支撑持拍前进、横移，末帧仍保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 3.9,
+   "log_step": 313,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.76–3.96 s 机器人仍持拍行进，来球接近头部附近，而拍面停在肩侧，未出现向对场的回球；最后一次动作由 log step 313 提交。推断：在这一轮接发的拦截窗口未用球拍完成回击，回球落入对场这一步失败；视频约 3.9 s 为可见来球接近机体的导航锚点。agent 关于仿真 3.98 s 身体触球判负的说法见 log step 314–315，未将该时间直接转换为视频时间。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.9,
+    "log_step": 313,
+    "evidence_zh": "观察：视频 3.76–3.96 s 来球亮点逐帧接近机器人头部附近，右手球拍拍面仍靠肩侧，未见迎球挥动或击回后的球路。推断：机器人持拍动作未在移动来球经过时形成有效拦截，属于动态来球的接触窗口未匹配；不把同一次漏接再重复标成没建立接触。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 3.9,
+    "log_step": 313,
+    "source_zh": "日志",
+    "evidence_zh": "推断：最终脚本的行走与右臂持拍动作未能配合来球形成有效击球。log step 312 的 action(t) 将右臂目标在仿真 1.5 s 前渐变到固定姿态；log step 313 去掉腕俯仰并将行走减速安排在仿真 3.7–4.0 s，随后一次提交预生成的动作，提交期间没有根据来球观测更新目标。视频 3.76–3.96 s 中拍面仍靠肩侧、球却接近头部附近，支持动作配合失效；日志和远景不足以区分接触几何、目标轨迹与执行跟踪各自的贡献，故仅标控制。"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 含本次与成功参考视频及 run.json，但没有状态日志；最后一次接口调用（log step 313）及随后状态查询（log step 314）的原始返回文本为空。视频仅有 25 fps 固定远景，球点很小，末帧为视频 3.96 s，无法直接分辨 agent 所述仿真 3.98 s 的瞬时身体触球部位或排除帧间短暂拍球接触；该判负细节保留为 agent 自述。没有原生接触时长或落点指标，三个 native_metrics 均留 null；这些缺口不影响视频未出现回球越网并落入对场的判断。",
+  "unmet": {
+   "return_landed_in": false
+  }
+ },
+ "summary_zh": "评分视频中的机器人始终持拍并走向来球，但没有完成回球越网及落入对场，唯一节点最终为假。断点在接发操作中：视频约 3.9 s 来球接近头部附近而拍面仍靠肩侧，推断拦截时机与动作配合失败，根因仅归到控制；较早测试的击拍结果不属于最后一次评分尝试。缺少状态日志和最后一次接口原始返回，身体触球判负的细节仅有 log step 314–315 的 agent 自述，无法逐接触核实。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "唯一节点 return_landed_in 最终为假、断点在该节点（操作中）与视频一致：视频中机器人持拍前行，末几帧小球亮点出现在头部附近而拍面仍在肩侧，未见回球；log 313 的脚本改动与 312 的开环动作描述属实。现象动态时机与根因仅标控制（子类不明）有证据支撑且措辞克制，时钟均标明视频/仿真，未做换算。未发现需要改动的内容。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:17:03Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--fnysw3f/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--fnysw3f/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d89b48646662dc7621ac17c8a39ba314338980cf0fb21ff55608f7563bb37142",
+   "video_sha256": "1ac16a5d1f4c302fd9f102dc990b3cb859d81e3d17a09e9cd40210eba57a8dce",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--kuowxt6.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--kuowxt6.json
new file mode 100644
index 0000000000000000000000000000000000000000..7fa0722c996c31ee73c53ba1d10fc5732c98a0c7
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--kuowxt6.json
@@ -0,0 +1,213 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--kuowxt6",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 417,
+   "sim_steps": 2629,
+   "calls": 19,
+   "rows": 2030,
+   "resets": 5,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 4624.3,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.484,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.333,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--kuowxt6/replay.mp4",
+  "duration_s": 4.2,
+  "fps": 25.0,
+  "frames": 105,
+  "sha256": "da3c81adf7b42b82fe119b45b4482e689590be6a5c5841688e6c6326c6c4d00a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.8,
+      "log_step": 139,
+      "text_zh": "观察：视频 0.0–3.5 s 机器人持拍侧移，视频 3.6–4.08 s 右臂将黄绿色球拍摆至身体右前方并挥动，双脚持续支撑身体；log step 139 的最后一次现场控制脚本先 reset、侧移，再执行挥拍。"
+     },
+     {
+      "t": 4.16,
+      "log_step": 140,
+      "text_zh": "观察：视频 4.08–4.16 s 球在球拍附近改变运动方向，末帧仍在近侧机器人前上方，视频没有回球越网及远侧落地。log step 140 的机器人服务返回最后一局 episode=6、control_steps=417、sim_time_s=4.17、stages_reached=2/4、done=true，裁判结果为“the racket left your hand”；这两个阶段仅为反弹和击球，完整回球节点未达到。"
+     },
+     {
+      "t": 4.16,
+      "log_step": 144,
+      "text_zh": "观察：run.json 的 reward 记录 graded_by_live=1、n_actions=417、calls=19、success=0，与 log step 140 最后一局一致；log step 144 的模型过滤发生在该局已判败之后。推断：本视频是最后一局的评分尝试，之前各次 reset 的会话试验不计入节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "观察：视频 4.08–4.16 s 机器人右手所持球拍与来球相遇，球随后离拍；log step 140 的裁判确认已达反弹、击球两个阶段。候选：击打；现有怎么碰取值没有击打，记其他。持拍的手—拍接触不重复计入这条工具—球链路，随后有效握持丢失。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–4.16 s 机器人双脚交替触地侧移，随后双腿与躯干支撑身体摆拍、挥拍，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.1,
+   "log_step": 140,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 4.08–4.16 s 机器人正在用右手球拍回击，球刚离拍且仍在近侧；log step 140 的最后一局裁判报告“the racket left your hand”，只达 2/4 阶段并立即判败。log step 141 读取该局保存的本体感知，holding_right 在仿真 4.00 s 为 1、仿真 4.10 s 和 4.17 s 为 0。推断：持拍回击过程中失去球拍的有效握持，完整回球再未完成，视频约 4.1 s 为断点导航锚点。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 4.1,
+    "log_step": 140,
+    "evidence_zh": "观察：视频 3.6–4.08 s 球拍随机器人右臂摆动，视频 4.12–4.16 s 拍面朝向明显变化，球离拍后该局结束。log step 140 的机器人服务明确报告球拍脱手；log step 141 的该局本体感知从仿真 4.00 s 的 holding_right=1 变为仿真 4.10 s 的 0，持续至仿真 4.17 s。推断：已建立的持拍接触在挥拍击球期间丢失，并非从未接触球拍。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 139,
+    "evidence_zh": "推断：持拍挥击的控制未维持住有效握持。log step 139 的最终脚本在侧移与挥拍各行都保留右手闭合命令 1.0，未安排主动放拍；log step 140 返回该动作执行合法、n_clipped=0，却因球拍脱手判败；log step 141 显示该局挥拍期间 holding_right 从 1 变为 0。视频 4.08–4.16 s 与挥拍击球后结束相符，因此归控制；现有记录不能进一步区分接触布局、冲击载荷与关节跟踪因素。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "观察：本任务没有状态日志，视频为 25 fps 的固定远景，手指—拍柄接触对及短暂失接触不能直接分辨；log step 140 的原生裁判结果确认了脱手，但不足以细分控制根因。评分器未报告 grip_break_max_s、landing_x_m、landing_y_m，三项原生指标值均填 null。log step 144 的模型过滤在最后一局已判败后发生，不改变本次物理失败标签。"
+ },
+ "summary_zh": "观察：最后一次现场尝试中，机器人侧移并持拍回击，裁判仅确认反弹和击球两个阶段，完整“回球落入对场”节点最终为 0/1。观察：视频约 4.1 s 机器人挥拍击球，球尚在近侧，log step 140 已因球拍脱手判败。推断：闭手挥拍控制未维持住握持；缺少接触状态日志和手部近景，无法细分控制根因，末尾模型过滤发生在评分尝试结束之后。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与证据一致：回球节点未达成（裁判 2/4 阶段，球拍脱手判败），断点、接触、现象“没保持住”及根因“控制”均有视频与 log step 140/141 支撑，未发现需要修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:10:09Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--kuowxt6/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--kuowxt6/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "316a5eb773099dd0c0e7dd26e829bfe15c0e905f7c7fc66bfc37d24072f21830",
+   "video_sha256": "da3c81adf7b42b82fe119b45b4482e689590be6a5c5841688e6c6326c6c4d00a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--qrs4c2v.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--qrs4c2v.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f19b2a874a7a047ac63c6d417600d8729e09ccc
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--qrs4c2v.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--qrs4c2v",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 389,
+   "sim_steps": 2276,
+   "calls": 19,
+   "rows": 1785,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2990.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.771,
+   "peak_processes": 11,
+   "peak_disk_gb": 3.04,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--qrs4c2v/replay.mp4",
+  "duration_s": 3.92,
+  "fps": 25.0,
+  "frames": 98,
+  "sha256": "2c20a50ddd289a6c5b20c390467a4984611184ccf636c2252e545c4a4b8034e1"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.52,
+      "log_step": 73,
+      "text_zh": "观察：视频 0.00–3.40 s 机器人持拍站立并小幅移动；视频 3.48–3.88 s 机器人右臂抬起、球拍绕向头肩附近，录像结束前没有出现击球后越网并落入对场的完整过程。"
+     },
+     {
+      "t": 3.88,
+      "log_step": 73,
+      "text_zh": "观察：log step 73 的服务返回明确属于重置后的最后一次 E6：control_steps=389、sim_time_s=3.89、done=true、outcome=\"the racket left your hand\"，stages_reached=1/4；这是服务裁判记录，不是 agent 自述。log step 74 确认 episode=6 已结束且重置被拒绝，随后没有新的评分尝试。"
+     },
+     {
+      "t": 3.88,
+      "log_step": 73,
+      "text_zh": "推断：结合视频末段仍处于摆拍准备、log step 73 裁判仅通过 bounce 阶段且因脱手结束，E6 未到球拍击球阶段，更未完成回球落入对场；早先 E4 的击球记录（log step 53）不计入本次节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频 0.00–3.60 s 右手持黄绿色球拍并随右臂抬起；log step 73 裁判随后确认球拍脱手。这里只记录击球前实际存在的右手与拍柄抓握，没有建立球拍与球的击打接触，故不记手持工具×击打。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.88 s 机器人双脚交替踏地、小幅移位，随后支撑身体抬臂摆拍；末帧仍直立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 3.8,
+   "log_step": 73,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.48–3.88 s 机器人正在抬右臂摆拍准备回击，尚未完成击球；log step 73 的最后一次 E6 服务裁判在仿真 3.89 s 以“the racket left your hand”结束，阶段为 1/4。视频 3.80 s 用作末段摆拍失败的粗略导航锚点，不以 agent 工作时间换算视频时间。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 3.8,
+    "log_step": 73,
+    "evidence_zh": "观察：视频起始机器人右手已持拍，视频 3.52–3.88 s 抬臂转拍；log step 73 的 E6 服务裁判记录球拍离手并立即失败，且仅完成首次反弹阶段。原有持拍接触在摆拍中丢失，尚未发生合法拍球接触。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 71 的最终驱动代码 wrow 始终给右手闭合指令 grip_right=1，log step 73 以该驱动执行 E6；视频 3.48–3.88 s 的抬臂摆拍中，服务仍判球拍离手。所执行的持拍与摆拍控制未能维持握持，归为控制；现有证据不足以细分接触设计、跟踪或参数问题。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "没有状态日志；视频为固定远景，虽已逐帧检查视频 2.80–3.88 s，仍不能分辨拍柄与手指的毫秒级接触，也不能确认脱手起点及具体受力机制。agent 在 log step 76、78 将原因归为头部碰撞，但这是其解释，现有画面和服务记录不能独立确认，不另标碰撞。评分器未报告 grip_break_max_s、landing_x_m、landing_y_m，均填 null。"
+ },
+ "summary_zh": "最后一次评分尝试 E6 已移动并抬臂摆拍，裁判只确认来球首次反弹；完整回球节点未达成，最终为 0/1。视频约 3.8 s 的摆拍准备阶段发生持拍丢失，服务在仿真 3.89 s 判球拍离手，根因保留为控制。远景与缺少状态日志使具体滑脱或碰撞机制无法确认，早先会话试验的击球不计入本次进度。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "E6 为最终评分回合，视频 3.92 s 与 log step 73（control_steps 389、球拍脱手、stages 1/4）一致；节点未达成、断点、没保持住 + 控制（不细分）均有证据支持，未发现需改动之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:15:45Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--qrs4c2v/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--qrs4c2v/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "95b9492ba869cb6a58d51077580b2edd18907237eb493cf7de77d9ac641b9a3b",
+   "video_sha256": "2c20a50ddd289a6c5b20c390467a4984611184ccf636c2252e545c4a4b8034e1",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8.json
new file mode 100644
index 0000000000000000000000000000000000000000..d2e13285bfa441817fb9ade097aba039d9337934
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8.json
@@ -0,0 +1,244 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 469,
+   "sim_steps": 2582,
+   "calls": 31,
+   "rows": 2091,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3411.4,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 2.292,
+   "peak_processes": 12,
+   "peak_disk_gb": 2.156,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8/replay.mp4",
+  "duration_s": 4.72,
+  "fps": 25.0,
+  "frames": 118,
+  "sha256": "c892c60fc555ab6de2aa5bbc38359c8c85c488da5e16b363969debde3c282ba4"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.8,
+      "log_step": 217,
+      "text_zh": "观察：视频 0.0–3.8 s，机器人从近侧底线附近侧移并用右臂摆放黄绿色球拍，准备接发球；这属于本次评分现场 episode 6，log step 217 记录其最后一次 reset、侧移和准备动作。"
+     },
+     {
+      "t": 4.16,
+      "log_step": 219,
+      "text_zh": "观察：视频 4.04–4.32 s，来球接近右手球拍后继续朝近侧底线外飞行，在视频 4.24–4.32 s 已位于机器人身后的绿色区域上方；未出现球被回击朝远侧越网的球路。log step 219 的机器人服务终态为 episode=6、stages_reached=1/4、outcome=fell，只有首次弹地阶段被接受，没有完成球拍击球、越网和对场落地阶段。"
+     },
+     {
+      "t": 4.68,
+      "log_step": 219,
+      "text_zh": "观察：视频 4.32–4.68 s，机器人持续倾倒，录像结束前没有恢复或完成回球；该节点全程未达到。成功参考录像在相同场地视角中能看到球朝远场飞行，本次录像没有这一变化；参考录像仅用于辨认可见线索。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.4–4.2 s，机器人双脚在球场地面交替支撑侧移及持拍摆臂，随后身体倾倒。右手带动球拍尝试截击，但视频 4.04–4.32 s 的球路和 log step 219 仅通过弹地阶段的服务读数不支持实际拍球接触，故不把计划中的工具击打计为已发生接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.16,
+   "log_step": 219,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 4.08–4.32 s，机器人正在持拍接击弹起的来球，球却从球拍附近继续飞向机器人后方，没有转向对场；机器人随即持续倾倒至视频 4.68 s。log step 219 的现场服务报告 stages_reached=1/4、outcome=fell，本次回球步骤未得到修复。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 4.16,
+    "log_step": 219,
+    "evidence_zh": "观察：视频 4.04–4.32 s，运动中的网球掠过持拍右臂，继续飞出近侧底线，机器人摆动的拍面未将球截回；log step 219 的服务结果仍只有弹地阶段 1/4，没有记录成功击球阶段。"
+   },
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 4.4,
+    "log_step": 219,
+    "evidence_zh": "观察：视频 4.20–4.68 s，机器人躯干逐渐向一侧下压、腿部支撑塌落，末帧身体已明显倾倒；log step 219 的机器人服务明确报告 episode 6 以 outcome=fell 结束。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 217 的控制脚本在准备动作后因未定义变量 D 抛出 NameError；修复后，log step 219 的续接脚本删去了侧移和准备阶段，却重新定位并选择挥拍轨迹。log step 217 选用单元 (1.05,1.08)，log step 219 改为 (0.85,1.08)；log step 216 的代码直接以新单元 q0s 生成保持行，log step 219 未加入从原准备姿态到新 q0s 的过渡。推断：控制脚本恢复时没有保证已执行准备姿态与新挥拍轨迹连续，导致接击动作执行及全身稳定失败；视频 4.04–4.68 s 可见漏球和持续倾倒。"
+   },
+   {
+    "cat": "认知",
+    "item": "感知",
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 217 的定位脚本输出 blob (236.2,202.4)、dy=0.85 m、yc=1.023，并选用挥拍单元 (1.05,1.08)；只执行 stand 准备动作后，log step 219 在同一 episode 6 续接，输出 blob (229.4,201.7)、dy=1.05 m、yc=0.823，改选 (0.85,1.08)。log step 216 的 robot_blob 用暗色连通区域的像素均值定位，再按固定高度的投影反查侧移距离；视频 3.00–3.84 s 可见机器人摆臂和转动上身，未见与读数变化对应的新一段侧移。推断：这种定位受姿态变化影响，至少一个读数有偏差，续接时将偏差用于接触点计算和轨迹选择，促成球拍与来球错位及准备姿态不衔接；具体哪次读数更接近真值及误差大小仍无法独立确认。"
+   }
+  ],
+  "gap_zh": "无状态日志，远景视频无法量出球拍与网球的瞬时距离、手柄接触和实际关节跟踪误差；上述未完成结论由可见球路与最后现场 episode 6 的服务阶段读数共同支持。log step 217、219 的脚本定位输出及轨迹选择变化，结合视频中准备阶段的姿态变化，支持感知根因；log step 220、222 对具体失稳机制的解释仍是 agent 自述，没有独立位置真值或关节轨迹可判定哪次定位更准确、实际偏差大小和姿态跳变幅度，控制根因因此不细分子类。评分器未报告 DAG 所列三项原生指标数值，均保留 null。"
+ },
+ "summary_zh": "评分现场 episode 6 中，机器人侧移并持拍尝试接发，来球完成首次弹地，但没有被回击越网，回球落入对场节点未完成（终态 0/1）。视频 4.04–4.32 s 显示来球漏过球拍继续飞向身后，机器人随后倾倒，现场服务以 fell、阶段 1/4 结束；日志中准备动作前后的定位读数改变并切换轨迹，恢复脚本又未衔接原准备姿态，支持感知与控制问题。缺少状态日志，定位偏差大小及具体失稳机制无法独立确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "WHERE 标签（节点未达、断点 return_landed_in、时间、contact_actual）与视频一致；问题在根因：同一套 blob 定位脚本在 log step 217 与 219 对同一机器人读出 dy=0.85 与 1.05（均为脚本输出，不是 agent 叙述），这是有证据的错误位置估计，却被 gap_zh 明说不标感知，根因缺少感知。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达、断点 return_landed_in、时间、contact_actual 与视频和 log step 217/219 一致；上一轮提出的感知根因已加入，证据（dy 0.85→1.05、yc 1.023→0.823）与日志相符，未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:18:05Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
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+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8/03_label"
+   },
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+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8/05_reconcile_r1"
+   },
+   {
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+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard--uwc6gh8/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
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+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--y5vjhei.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--y5vjhei.json
new file mode 100644
index 0000000000000000000000000000000000000000..82a75ac34638384ff267232e71d9b1be48276202
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard--y5vjhei.json
@@ -0,0 +1,211 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard--y5vjhei",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
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+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard--y5vjhei/replay.mp4",
+  "duration_s": 4.92,
+  "fps": 25.0,
+  "frames": 123,
+  "sha256": "1f24cfd2d3c6a53e8aba5a9fa914dfb6d8d3029cacb3bc6a23ec79fcaafd06c0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.56,
+      "log_step": null,
+      "text_zh": "观察：视频约3.52–3.64 s，发球落向近侧蓝色场地后反弹；机器人已横移并转动上身、调整右手球拍，开始接发回球。"
+     },
+     {
+      "t": 4.12,
+      "log_step": 168,
+      "text_zh": "观察：视频3.96–4.32 s逐帧可见来球接近机器人后，从球拍旁继续飞向近侧底线外，没有反向飞往球网；视频4.12–4.24 s球与球拍明显分离。log step 168由机器人服务返回最后一局episode 6的裁判结果“the ball bounced twice before the racket hit it”，stages_reached=1、stages_total=4，确认只完成首次弹地，未完成拍击、回球越网及对场落地。"
+     },
+     {
+      "t": 4.88,
+      "log_step": 187,
+      "text_zh": "观察：视频4.32–4.88 s机器人继续站立持拍，未见回球飞向对场；log step 187再次查询机器人服务，结果仍为击球前二次弹地、阶段1/4。成功参考视频约4.08–4.24 s可见球在拍前折返向网，本次没有该回击轨迹。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–4.88 s，机器人双脚交替接触球场地面，双腿和躯干支撑横移及转身摆拍；右手仍持球拍，但视频4.12–4.24 s球从拍旁漏过，未发生球拍对网球的击打接触，故不填手持工具×击打。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.12,
+   "log_step": 168,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约4.12 s，来球已到机器人身旁，球拍未拦住球；视频4.16–4.32 s球继续朝近侧底线外飞行。log step 168记录最后一次reset后的episode 6，机器人服务裁判判定击球前二次弹地、阶段1/4；该次接发漏球此后没有修复。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 4.12,
+    "log_step": 168,
+    "evidence_zh": "观察：视频3.96–4.24 s来球快速靠近，机器人右手球拍未随来球位置完成拦截，球从拍旁掠过并继续飞向近侧底线外；log step 168的服务裁判结果确认在球拍击球前已二次弹地。推断：机器人未在来球经过时将拍面送入球路，属于运动目标漏接；同一次漏球不再另标没建立接触。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "反馈控制",
+    "t": 4.12,
+    "log_step": 168,
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 168实际执行的最后一局脚本以图像目标TARGET=[207,196]计算拍面反馈，输出obsB=[220.62,192.86]、Jroll=[7.00,-6.85]；肘部修正量dr经clip限于±0.9后，代码只在abs(dr)<0.9时应用，否则加0。此次输出using roll2=1.30，故达到限幅的负向修正被直接丢弃；脚本却仍按该未执行修正计算残差并调整肩部，随后obsC=None，仍保持该姿态等待来球。推断：反馈控制未执行所计算的对准修正，且拍面检测丢失后没有再次纠偏，造成视频约4.12 s的漏球。"
+   }
+  ],
+  "gap_zh": "没有状态日志，25 fps远景画面无法独立解析毫秒级接触或最大握持中断时间；末段球飞出固定镜头，二次弹地的确切时刻由最后一局服务裁判结果确认，未伪称在画面中直接看见。反馈代码错误可核实，但修正后能否合法回球未在本次会话验证；三个原生指标均未报告，值保留null。"
+ },
+ "summary_zh": "受评的是最后一局episode 6：机器人横移并持拍调整姿态，来球完成己方首次弹地，但视频约4.12 s从球拍旁漏过，“回球落入对场”节点最终0/1。最后一局服务裁判确认击球前二次弹地、阶段1/4；日志中的反馈修正分支丢弃了达到限幅的肘部修正，支持控制·反馈控制根因。无状态日志，二次弹地已离开镜头，精确接触时刻及原生指标无法独立恢复。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点未达成、断点return_landed_in、服务裁判“击球前二次弹地、阶段1/4”(log step 168/187)均与视频一致；视频约3.9–4.3 s球落在球拍旁并继续向近侧外飞，无回击。反馈控制根因的代码证据(roll2=1.30即dr被丢弃)属实且已标为推断，可接受。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
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+  "created": "2026-10-31T00:11:05Z",
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diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq.json
new file mode 100644
index 0000000000000000000000000000000000000000..1779fa85ffba3d98986984ecf78d404f031d758e
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+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq.json
@@ -0,0 +1,226 @@
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+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq/replay.mp4",
+  "duration_s": 4.92,
+  "fps": 25.0,
+  "frames": 123,
+  "sha256": "2af61ad7abd40bc3841e219620c88ecdcffada7f12658e8c9ac7f0c615afa8c5"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 22,
+      "text_zh": "观察：视频 0.00–4.88 s，机器人站在近侧底线附近，右手球拍保持初始竖立姿态，没有侧移、引拍或挥拍。log step 22 的机器人服务调用仅为 get_obs(seconds=6.0)，服务返回 done=True、stages_reached=1/4，以及“the ball bounced twice before the racket hit it”；全日志 submit=0、reset=0。"
+     },
+     {
+      "t": 4.08,
+      "log_step": null,
+      "text_zh": "观察：视频 3.68–3.76 s 来球在近侧蓝色场地触地后升起；视频 4.00–4.28 s 球从机器人画面左侧飞过底线，球拍未迎击，未见球朝远场返回。视频 4.32–4.88 s 机器人仍原地站立，未见补救动作或跌倒。"
+     },
+     {
+      "t": 4.88,
+      "log_step": 22,
+      "text_zh": "推断：本次只有来球首次反弹，未发生回击、回球越网及落入对场，故唯一事件节点始终为假。成功参考的球拍在参考视频 3.60–4.08 s 已伸向来球，参考视频 4.12–4.40 s 球明显向远场飞回；本次同一视角缺少这些可见动作，不能计作已击球。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.08,
+   "log_step": 22,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 4.00–4.28 s，来球经过原地持拍的机器人左侧，机器人没有启动回击；视频 0.00–4.88 s 均无挥拍。log step 22 的现场服务已报告击球前二次弹地、回合失败，仅完成原生首次反弹阶段。断点锚定在球经过机器人附近的时刻；回击这一步尚未启动。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 4.08,
+    "log_step": 22,
+    "evidence_zh": "观察：视频 0.00–4.88 s 机器人保持初始站姿和持拍姿态，视频 4.08–4.28 s 来球飞过时也没有引拍或挥拍。log step 22 只让现场服务记录来球，未提交控制动作；log step 44 的挥拍逆解计算发生在服务已报告回合结束之后，未在本次视频中执行。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "观察：没有状态日志；远景视频不能量出手指有效接触的连续中断时间，评分字段也未报告 grip_break_max_s、landing_x_m 或 landing_y_m，这三项保留 null。已核查 log step 21 的 NOTES：agent 明确计划先录制 Episode 1、重建来球，再设计保持握拍并在一次反弹后回击越网落入对场的挥拍；log step 22 确实只调用 get_obs(seconds=6.0)，服务返回 done=True、failed、stages_reached=1/4、control_steps=491。log step 3 服务状态同时明确给出 episode=1、resets_left=10，评分字段 resets=0；log step 23–46 继续离线重建和挥拍计算，未执行控制。推断：这些记录证明本次被评分回合被用于被动观察，但不能区分这是为后续重置准备的采样，还是误以为观察不推进被评分回合；日志没有“免费观察”或不知道回合会结束的记录。按 docs/03_trajectory.md Step 3.2–3.3 及 CASES.md FAIL-22，不能仅由有记录的未行动决定和失败结果推出策略错误，故根因仍留空，控制能力也无已执行挥拍可供判断。观察：log step 47 出现模型过滤提示，但 log step 22 的现场回合已结束，之后无重置；按 DECISIONS.md D37 的当前规则，本次仍按已发生的失败回合标注。"
+ },
+ "summary_zh": "观察：本次唯一目标“回球落入对场”未完成（终态 0/1）；视频 0.00–4.88 s 机器人原地持拍，视频约 4.08 s 来球从其左侧经过，log step 22 的现场服务以击球前二次弹地结束回合，断点为回击首步前、现象为没尝试。观察：log step 21 明确计划先录制首回合再设计挥拍，log step 3 服务显示还有 10 次重置机会，之后仅有离线计算且未重置；log step 47 的模型过滤发生在现场回合已结束之后。推断：不能确认被动采样反映错误的跨阶段策略，根因保留空；因无法排除审查所提规划错误、无状态日志和三项原生指标读数，置信度由 9 降至 7。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点、断点（首步前/没尝试）与视频一致；但根因留空不妥：log 明确记录 agent 在唯一被评分回合里只被动录像（get_obs 6 s、无任何控制），属有记录的策略选择，应标 认知·推理/规划。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点（首步前/没尝试）与视频一致：机器人全程原地持拍，约 4.1 s 来球经过未挥拍。根因留空并在 gap_zh 说明理由可接受：agent 的计划是先观察再重置（预算 10 次），日志中没有证据表明该计划本身错误（FAIL-22）。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:20:26Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--28w5zgq/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9d200d968d7f30a767936dce20f90b912d0f82959b03c59d5cd5b634976b164c",
+   "video_sha256": "2af61ad7abd40bc3841e219620c88ecdcffada7f12658e8c9ac7f0c615afa8c5",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--ckv554i.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--ckv554i.json
new file mode 100644
index 0000000000000000000000000000000000000000..dcbd50704eac09f88daf604b99709efcbe1c2804
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--ckv554i.json
@@ -0,0 +1,218 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard-realtime--ckv554i",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 605,
+   "sim_steps": 5431,
+   "calls": 946,
+   "rows": 30750,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 2358.6,
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+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 62.507,
+   "max_lag_s": 0.5072,
+   "stalls": 9,
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+   "requests_refused": 1,
+   "request_busy_s": 7.875,
+   "resource_enforced": 0,
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+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
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+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--ckv554i/replay.mp4",
+  "duration_s": 6.08,
+  "fps": 25.0,
+  "frames": 152,
+  "sha256": "83daa8a6c37219380adf116176d04ea89ae369deb403368638dbe290c4b53703"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.12,
+      "log_step": 81,
+      "text_zh": "观察：视频 3.64–4.16 s 的连续帧中，来球进入近侧场地后接近机器人，视频约 4.08–4.12 s 在右手球拍附近转向并向上、向球网方向飞出；机器人继续持拍站立。log step 81 的机器人服务裁判返回最终 episode=11、stages_reached=2、stages_total=4，确认已完成弹地与球拍击球阶段。"
+     },
+     {
+      "t": 6.04,
+      "log_step": 81,
+      "text_zh": "观察：视频 4.16–6.04 s 中回球升高后下降，末段球的投影落向球网近侧，未出现对场内落地完成画面；视频 6.04 s 机器人仍站立持拍。log step 80 启动最后一次重置后的 final 方案，log step 81 对应该次现场尝试的裁判结果为 failed、the ball landed on your own side，而非 agent 自述；因此完整回球节点从未达到。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "观察：机器人以右手握持的黄绿色球拍在视频约 4.08–4.12 s 击打网球，球随后反向飞出；log step 81 的裁判确认球拍阶段。候选：击打；现有怎么碰取值无击打，故用其他，持拍抓握不重复标注。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0–2.0 s 机器人双脚在地面交替支撑并侧移准备，视频约 4.1 s 挥拍及至视频 6.04 s 结束时双腿与躯干保持站立支撑，未见倒地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.12,
+   "log_step": 81,
+   "where": "操作中",
+   "evidence_zh": "观察：机器人在视频约 4.1 s 完成右手持拍击球，但视频 4.16–6.04 s 的回球随后下降至球网近侧，未完成越网落入对场。log step 81 的最终 episode=11 裁判记录 2/4 阶段并以 the ball landed on your own side 结束；断点取该次击球形成失败回球的时刻，所属步骤为回球落入对场。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 4.12,
+    "log_step": 81,
+    "evidence_zh": "观察：视频约 4.08–4.16 s 球拍确已将来球击回，视频 5.32–6.04 s 球下降至网前附近；log step 81 的裁判明确报回球落在己方且只达到 2/4 阶段。推断：该次击打产生的飞行轨迹与落点未到达对场，属于回球落点偏短，而非未触球。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "视频 / 日志",
+    "evidence_zh": "观察：log step 76、78 修改最后方案的拍面倾角与预定接触位置，log step 80 执行该方案；视频约 4.1 s 机器人实际持拍击球，随后球升高再落向网前，log step 81 的裁判确认落在己方。推断：回球目标和弹地后击打顺序均正确，但最终挥拍未产生足以完成越网落入对场的出球运动，归于控制；现有证据不足以确定具体控制子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志。固定远景中网球只有少量像素，视频末段球网遮挡了贴地接触细节，己方落地判定结合 log step 81 中明确对应最后一次现场尝试的裁判结果；未将此前十次尝试混入本次节点进度。缺少最终触球瞬间的拍面法向、球速和接触力，不能进一步区分接触几何、挥拍速度与关节跟踪的影响；三项原生指标均未在评分器字段报告，保留 null。"
+ },
+ "summary_zh": "最后一次现场尝试中，机器人侧移准备并在视频约 4.1 s 持右手球拍回击来球，裁判确认弹地和击球两个内部阶段，但完整语义节点为 0/1。回球升高后落向球网近侧，log step 81 明确判定落在己方，断在回球落入对场步骤，现象为位姿不准，根因归于控制。远景不能精确还原贴地接触与触球参数，因此落地结论结合该次现场裁判记录，控制不细分子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点在回球落入对场、位姿不准+控制（不细分子类）与视频及 log step 81（落在己方，2/4 阶段）一致；时间用视频钟，无转换。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
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+  "created": "2026-10-31T00:18:29Z",
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+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
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+  "calls": [
+   {
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+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--ckv554i/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--ckv554i/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "769dbc807d61de40eabdc89b3c1db4c5a43b0535c08aa9304f5580cb86ea6b94",
+   "video_sha256": "83daa8a6c37219380adf116176d04ea89ae369deb403368638dbe290c4b53703",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--hsmix5q.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--hsmix5q.json
new file mode 100644
index 0000000000000000000000000000000000000000..854fa4e9ea00f1898758a3061c48d9a04e035bd2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--hsmix5q.json
@@ -0,0 +1,218 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard-realtime--hsmix5q",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 491,
+   "sim_steps": 5325,
+   "calls": 120,
+   "rows": 11000,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 960.2,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 61.427,
+   "max_lag_s": 0.5059,
+   "stalls": 10,
+   "stalled_s": 5.017,
+   "stalled_share": 0.0817,
+   "held_steps": 0,
+   "late_steps": 0,
+   "requests_refused": 0,
+   "request_busy_s": 5.504,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--hsmix5q/replay.mp4",
+  "duration_s": 4.92,
+  "fps": 25.0,
+  "frames": 123,
+  "sha256": "f09bafa4b91b5f53bfa6b9f88e6b6b64b85897bf1ee3ce95eb2513e93fdc4c16"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.08,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.24 s，来球向近侧运动，在视频约 4.00–4.20 s 从机器人画面左侧通过并继续向底线外飞去；机器人虽已向前走入场内，黄绿色球拍仍靠近头肩，没有把来球击回球网方向。"
+     },
+     {
+      "t": 4.88,
+      "log_step": 99,
+      "text_zh": "观察：视频 4.24–4.88 s 未见回球越网或对场落地，机器人仍站立持拍；run.json 的 reward.success=0、graded_by_live=1。agent 在 log step 98 的笔记和 log step 99 的最终报告中自述裁判判为“the ball bounced twice before the racket hit it”，仅达原生四阶段中的第一阶段；此自述与视频中来球未经回击通过的表现一致。"
+     },
+     {
+      "t": 0,
+      "log_step": 96,
+      "text_zh": "观察：log step 96 中机器人服务重置到 episode 11（resets_left=0），并从 control_steps=0 提交最终动作计划；视频 0.00–4.88 s 只有一段接发尝试。此前各次 reset 的试验不计入本节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–4.88 s，机器人双脚交替接触球场，双腿和躯干支撑向前接发的动作，末尾保持站立；右手球拍随身体移动，但视频约 4.00–4.20 s 来球与球拍分离，未记录球拍击球接触，持拍抓握不重复计入工具作用链。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.08,
+   "log_step": 99,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 4.00–4.20 s，机器人正在持拍接发，来球从其画面左侧通过，球拍没有迎上来球；视频至 4.88 s 没有形成回击。agent 在 log step 99 自述本次因击球前二次弹地而失败，评分器 reward.success=0。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 4.08,
+    "log_step": null,
+    "evidence_zh": "观察：视频 3.60–4.24 s，运动中的网球接近并越过机器人所在位置，机器人仍把球拍保持在头肩附近，没有在来球经过时把拍面送到球的轨迹上，球继续飞向近侧底线外。推断：接发动作未跟上来球，错过首次反弹后的击球窗口。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "视频",
+    "evidence_zh": "推断：视频 2.00–4.20 s 机器人已向前移动、持拍准备接发，但视频约 4.00–4.20 s 拍面仍靠近上身，来球在画面左下方经过，身体与持拍动作未能实现拦截所需的时空配合；据此归为控制。无逐步目标和实际关节轨迹，不能进一步确定是轨迹、跟踪还是某个参数问题。"
+   }
+  ],
+  "gap_zh": "没有状态日志，固定远景中的球与手指较小，无法独立核实毫秒级接触、有效握拍中断时长或精确弹地时刻；log step 98–99 的具体裁判原因仅由 agent 转述，最终尝试的服务终态详细字段未出现在日志中。视频可判定未形成回击，但不足以区分拦截控制失败的具体子类；三个原生指标均未在评分器字段中报告。",
+  "unmet": {
+   "return_landed_in": false
+  }
+ },
+ "summary_zh": "本次评分对应 log step 96 启动的最后一局：机器人持拍向前移动，但唯一节点“回球落入对场”始终未达成，终态为 0/1。视频约 4.00–4.20 s 来球从机器人画面左侧掠过而球拍没有迎上，接发错过动态窗口；agent 在 log step 99 自述裁判以击球前二次弹地判负，与评分失败及视频表现一致。无状态日志，具体接触时刻和控制子类无法确定。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "唯一节点未达成、final=false、断点 return_landed_in、动态时机现象与视频一致；视频约 4.0–4.2 s 球从机器人左侧掠过，球拍未挥出，未见回击。未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:18:20Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--hsmix5q/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--hsmix5q/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "6f48b85433005485f720cc11fded9022bd5d2317596d7093168fd7d880fc1a88",
+   "video_sha256": "f09bafa4b91b5f53bfa6b9f88e6b6b64b85897bf1ee3ce95eb2513e93fdc4c16",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--rmeibzx.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--rmeibzx.json
new file mode 100644
index 0000000000000000000000000000000000000000..040aeed919e932ee7d67af0740f47e03e4763bd8
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--rmeibzx.json
@@ -0,0 +1,225 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard-realtime--rmeibzx",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 543,
+   "sim_steps": 5300,
+   "calls": 49,
+   "rows": 9865,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 1273.4,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 56.305,
+   "max_lag_s": 0.5075,
+   "stalls": 1,
+   "stalled_s": 0.507,
+   "stalled_share": 0.009,
+   "held_steps": 532,
+   "late_steps": 75,
+   "requests_refused": 0,
+   "request_busy_s": 4.15,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--rmeibzx/replay.mp4",
+  "duration_s": 5.44,
+  "fps": 25.0,
+  "frames": 136,
+  "sha256": "11014e49e95d59aad57a2c54c82437ad3d42151598d4717dbfaa2a46d2bc88d6"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.12,
+      "log_step": 69,
+      "text_zh": "观察：视频 0.0–4.12 s 中，机器人持拍侧移、转身并抬起右臂；视频 4.08–4.32 s 中，来球接近右手球拍后反向飞向球网。log step 69 的最后一次现场尝试打印服务裁判结果 stages_reached=2，确认反弹和球拍击球两个阶段。"
+     },
+     {
+      "t": 5.4,
+      "log_step": 69,
+      "text_zh": "观察：视频 4.32–5.40 s 中，击出球向前飞行后下降，未见成功参考视频所示的回球越网并落入远侧场地；机器人结束时仍站立持拍。log step 69 的服务裁判结果为 failed、the ball landed on your own side，log step 70 确认最后一局 episode=11 已结束，control_steps=543；reward 的 graded_by_live=1、live_success=0。"
+     },
+     {
+      "t": 5.4,
+      "log_step": 70,
+      "text_zh": "推断：评分视频对应最后一局而非前面重置的测试；最后一局已击球但落在己方，完整“回球落入对场”事件从未达成。此判断结合视频与裁判的具体失败原因，并非仅由总分为零推出。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "观察：视频 4.08–4.32 s，机器人右手持黄绿色球拍迎击网球，球在拍边附近改变飞行方向；log step 69 的裁判确认球拍击球阶段。候选：击打；短时撞击不属于推/扫、压/擦等现有方式，故用其他。持拍抓握不重复记录。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.2–4.32 s，机器人双腿交替踏地侧移、转身并支撑右臂挥拍；视频 4.32–5.40 s 保持站立，由双脚承重。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.12,
+   "log_step": 69,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 4.12 s，机器人右手球拍击中来球，随后视频 4.32–5.40 s 的回球未完成越网落入对场。log step 69 中，最后一局服务裁判确认仅达到反弹、击球两个阶段，并以“the ball landed on your own side”判失败；失败发生在这次完整回击步骤。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 4.12,
+    "log_step": 69,
+    "evidence_zh": "观察：视频 4.08–4.32 s 中，机器人确实用右手球拍将球打回，但视频后段未形成落入远侧场地的回球；log step 69 的裁判明确报告回球落在己方。推断：击出球的落点偏短，属于回击结果的位置未到目标。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 4.12,
+    "log_step": 69,
+    "source_zh": "视频",
+    "evidence_zh": "推断：视频 4.08–4.32 s 显示机器人已到达可击球位置并用球拍改变来球方向，而后续回球落在己方（log step 69 的裁判结果）；log step 69 的控制方案通过预设腰部转动完成挥拍。该挥拍未产生完成越网所需的出射轨迹，归于控制，现有证据不足以区分拍面接触几何、击球速度或跟踪误差。"
+   }
+  ],
+  "gap_zh": "没有状态日志；远景视频中的网球只有少量像素，不能精确测量末次触地坐标、手拍接触中断时长或击球冲量，因此三个原生指标均为 null。agent 在 log step 72 猜测恢复系数限制回球速度，但没有本次尝试的独立接触力与速度证据，不能据此细分控制根因。"
+ },
+ "summary_zh": "机器人完成侧移和右手持拍击球，原生裁判确认反弹、击球两个阶段；完整回球节点最终为 0/1。视频约 4.12 s 的回击未使球越网落入对场，最后一局裁判报告球落在己方，标为位姿不准、控制问题。没有状态日志，无法确认出射轨迹不足的具体接触或控制参数原因。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点 return_landed_in 未达成、contact_actual、断点（击打步骤，操作中）、位姿不准 + 控制均与视频和 log step 69/70 的服务裁判结果（stages_reached=2、落在己方、episode 11 done failed）一致；时钟均为视频时间，未见错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:16:27Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--rmeibzx/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--rmeibzx/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "98c273fda0b5fe3c604fc8079c803de4bfccf7271b67643df6557d69a1f8e797",
+   "video_sha256": "11014e49e95d59aad57a2c54c82437ad3d42151598d4717dbfaa2a46d2bc88d6",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--whj5vpe.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--whj5vpe.json
new file mode 100644
index 0000000000000000000000000000000000000000..b43f179e3194eda177ce37915a6a76cf703a6958
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--whj5vpe.json
@@ -0,0 +1,217 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard-realtime--whj5vpe",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 491,
+   "sim_steps": 2713,
+   "calls": 2727,
+   "rows": 6057,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4481.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 27.129,
+   "max_lag_s": 0.029,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 499,
+   "late_steps": 0,
+   "requests_refused": 1,
+   "request_busy_s": 3.226,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--whj5vpe/replay.mp4",
+  "duration_s": 4.92,
+  "fps": 25.0,
+  "frames": 123,
+  "sha256": "d96a0ea9079847be6f23aaf1b2664810f30be88a62419b82cddebb5005c72e91"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.12,
+      "log_step": 95,
+      "text_zh": "观察：视频 4.00–4.28 s，来球从场内接近机器人，机器人右臂挥动仍握在手中的黄绿色球拍；视频 4.12–4.28 s，球从拍旁继续向近侧场外飞去，未出现回向球网的轨迹。"
+     },
+     {
+      "t": 4.88,
+      "log_step": 95,
+      "text_zh": "观察：log step 95 中，机器人服务在最后一次重置后报告 episode 6、resets 0，终态为“the ball bounced twice before the racket hit it”，仅通过原生四阶段中的 1 阶段；该服务是运行仿真并返回裁判状态的机器人 API。视频 4.32–4.88 s，机器人仍直立持拍，未见球回到远侧场地；回球落入对场节点始终未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.60–3.00 s，机器人双脚交替支撑身体侧移；视频 3.00–4.88 s，双腿继续支撑转身及右臂挥拍。右手持拍但挥拍未触球，因此不把任务典型的球拍击球接触记为实际发生，也不重复标持工具的抓握。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.12,
+   "log_step": 95,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 4.08–4.28 s，机器人已开始持拍挥击，但来球掠过球拍后向机器人身后飞去，没有被回击；log step 95 的最后一次现场尝试由服务以击球前二次弹地判负。失败发生在回球操作中，时间锚点取视频 4.12 s 的挥空过程。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 4.12,
+    "log_step": 95,
+    "evidence_zh": "观察：视频 4.08–4.20 s，运动中的球经过机器人身旁时，右臂挥出的球拍未与球相遇；视频 4.24–4.28 s，球已飞到机器人后方，球拍仍在身体侧前方。log step 95 的服务反馈确认球拍尚未击球就发生第二次弹地。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 4.12,
+    "log_step": 95,
+    "evidence_zh": "推断：log step 86 编写、log step 87 和 log step 95 修改并实际运行的脚本，以固定控制步序列预定引拍、挥拍和随挥；发送整段动作后仅取观测，不依据来球继续修正挥拍。视频 4.08–4.28 s 显示这套动作没有使球拍与球的运动同步相交，支持回球控制未实现所需的时空配合；不能据此区分轨迹误差、关节跟踪滞后或球位置估计误差。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；远景视频为 25 帧/秒，无法定量核实拍面三维位置、关节跟踪误差或毫秒级接触。agent 在 log step 98、log step 99 自述最终来球偏离拍面约 0.2 米并归因于手臂滞后，但这不是独立测量，故根因只标控制，不细分。评分器未报告 DAG 所列的 grip_break_max_s、landing_x_m、landing_y_m，原生指标均置 null。",
+  "unmet": {
+   "return_landed_in": false
+  }
+ },
+ "summary_zh": "观察：评分对应 log step 95 的最后一次现场尝试；机器人侧移、持拍引拍并挥击，但视频 4.08–4.28 s 来球从拍旁飞过，没有回向球网，回球落入对场节点未完成，终态 0/1。观察：服务仅确认首次反弹阶段，以击球前二次弹地结束；推断：预定挥拍控制未能使拍球在运动中相遇。缺少状态日志及拍面三维测量，不能核实 agent 自述的手臂滞后这一具体机制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未完成、断点（操作中，击打失败）、动态时机现象与控制根因均与视频（球在4.12 s经过机器人身旁、拍未触球，4.40 s球已不在场内）和log step 95的服务判定（击球前二次弹地，1/4阶段）一致；时钟均为视频时间，根因已标为推断并说明了局限。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:18:50Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--whj5vpe/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--whj5vpe/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d4788a1f696f89a86548a56ed6367b399cfd4c623ed50f2a4827aa413c767958",
+   "video_sha256": "d96a0ea9079847be6f23aaf1b2664810f30be88a62419b82cddebb5005c72e91",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz.json
new file mode 100644
index 0000000000000000000000000000000000000000..245f24528174d8211fb8e2a23dc7dfa0aac84acd
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz.json
@@ -0,0 +1,249 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 427,
+   "sim_steps": 2874,
+   "calls": 25,
+   "rows": 3300,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 629.3,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 28.734,
+   "max_lag_s": 0.0365,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 491,
+   "late_steps": 0,
+   "requests_refused": 13,
+   "request_busy_s": 1.721,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz/replay.mp4",
+  "duration_s": 4.28,
+  "fps": 25.0,
+  "frames": 107,
+  "sha256": "1473ed1d98754902a7a4b424efe1101ab817fb283d22ec1f6769d9e6c42852ad"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 125,
+      "text_zh": "观察：视频0.00–3.60 s，机器人右手持拍并沿近侧底线侧移；视频3.60–4.24 s，机器人抬起右臂、转动躯干挥拍。核对视频4.04、4.12及4.24 s全景和机器人区域放大帧，远景分辨率不足以可靠辨认网球轨迹及球与拍面的接触、分离。推断：log step 127最后一次episode 6的现场裁判返回Stages reached=2/4，按任务的bounce、racket、over the net、in阶段顺序，只确认了己方弹地与球拍触球，尚未确认越网与界内落地，因此本节点未达成。"
+     },
+     {
+      "t": 4.24,
+      "log_step": 127,
+      "text_zh": "观察：log step 127的Robot现场服务返回最后一次episode 6的Done=True、Outcome=\"the racket left your hand\"、Stages reached=2/4、control_steps=427；该服务是仿真裁判状态接口，阶段2表示已确认己方弹地及球拍触球，尚未确认越网与界内落地。log step 128仍为同一episode 6的失败终态。"
+     },
+     {
+      "t": 4.24,
+      "log_step": 127,
+      "text_zh": "推断：log step 125提交的控制间隔为0.01 s，最后一次现场episode的427个控制步对应仿真4.27 s，与视频4.24 s最后一帧及4.28 s片长的挥拍终止相符；仅用这一局的服务结果辅助视频判断，前五次重置前的尝试不计入本节点。裁判在回球完成前判定失握，因此本节点全程未达成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手持工具",
+      "how": "其他",
+      "note_zh": "候选：击打。推断：log step 127最后一次episode 6的现场服务返回Stages reached=2/4，按任务阶段顺序已确认racket阶段，支持机器人通过右手握持的黄绿色球拍撞击网球；视频4.04–4.12 s无法可靠辨认球与拍面的接触及分离。现有怎么碰取值无击打，按S16使用其他；持拍抓握不重复记为另一条工具接触链路。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "视频0.00–4.24 s，机器人双脚交替触地侧移并支撑挥拍，末段保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better"
+  },
+  {
+   "name": "landing_x_m",
+   "value": null,
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target"
+  },
+  {
+   "name": "landing_y_m",
+   "value": null,
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 4.2,
+   "log_step": 127,
+   "where": "操作中",
+   "evidence_zh": "观察：视频3.60–4.24 s机器人正在右手挥拍回球，远景画面无法可靠辨认网球轨迹；log step 127中最后一次episode 6的现场裁判在control_steps=427时以“the racket left your hand”结束，并仅确认2/4阶段。推断：按裁判阶段顺序，终止前尚未完成合法越网和对场落地，故失败发生在完整回球步骤的操作中。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 4.2,
+    "log_step": 127,
+    "evidence_zh": "观察：视频0.00 s机器人已右手持拍，视频3.60–4.24 s持拍挥动；log step 127的最后一次现场服务明确返回“the racket left your hand”，而非未触球，且已到racket阶段。失去的是原已建立的右手与拍柄有效握持；视频远景无法单独辨清手指接触中断的精确起点。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 4.2,
+    "log_step": 125,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 125的最终控制脚本将右手闭合命令全程设为1.0，同时按预设时序插值右臂与躯干完成挥拍，未根据持拍状态调整运动；log step 127执行该脚本的最后一次现场episode却因球拍失握终止，视频3.60–4.24 s也显示该段挥拍。控制未能在挥拍中维持初始握持；现有证据只能支持控制大类，不能确定是握持几何、负载下接触滑移还是运动跟踪的问题。"
+   }
+  ],
+  "gap_zh": "没有状态日志；唯一录像为25帧/秒的固定远景，球拍仍在右手附近时无法逐一分辨手指、拇指与拍柄的接触，失握判定依据最后一次现场服务返回。未报告grip_break_max_s及落点坐标，原生指标均为null。缺少手部接触力和指关节时序，无法确认具体控制子类；agent在log step 130自述“冲击动量导致滑脱”，没有独立受力证据，不采作已证实原因。"
+ },
+ "summary_zh": "最后一次评分尝试中，机器人侧移并用右手球拍完成触球，现场裁判确认反弹及触球2/4阶段，但唯一语义节点“回球落入对场”未完成，最终0/1。视频约4.20 s挥拍末段对应的现场尝试因球拍失握终止，现象为没保持住，根因保守归为控制。远景录像不能辨清手指接触或冲击受力，具体失握机制及未报告的原生指标无法确定。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "节点（未达成）、断点（return_landed_in，操作中）、现象（没保持住）和根因（控制）与视频及 log step 127 的服务读数一致，无需改动；唯一问题是证据里“视频 4.04–4.12 s 小球经过拍面附近后离开、仍在近侧”的观察在 640×360 的远景视频中看不到球，应改为推断。",
+    "n_issues": 1,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频、log一致：最后一次现场episode 6在视频约4.24 s以球拍脱手终止，裁判阶段2/4，节点未达成、断点、没保持住与控制根因均有证据支持，观察与推断区分合理。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:18:43Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--wixdpbz/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9bb65b01a159516c2477ddb4dbcc7c89dd72a82f558d017d04ec563483972f76",
+   "video_sha256": "1473ed1d98754902a7a4b424efe1101ab817fb283d22ec1f6769d9e6c42852ad",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--x7wasxt.json b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--x7wasxt.json
new file mode 100644
index 0000000000000000000000000000000000000000..5d9de6ca6ba5482ebe92d4af129396df70410c39
--- /dev/null
+++ b/phase2/embodied-olympics-fun/tennis_return/trajectories/embodied-olympics-fun-tennis-return-i00-standard-realtime--x7wasxt.json
@@ -0,0 +1,227 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-tennis-return-i00-standard-realtime--x7wasxt",
+ "taskKey": "embodied-olympics-fun/tennis_return",
+ "dag_sha256": "ccffc71d0aa2a0e2f5f39987360ec83305903d4551c5e4b8aa3a2ecae36782d8",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 362,
+   "sim_steps": 1835,
+   "calls": 1787,
+   "rows": 1702,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2644.5,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 3,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 18.357,
+   "max_lag_s": 0.0339,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 632,
+   "late_steps": 0,
+   "requests_refused": 1,
+   "request_busy_s": 4.151,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--x7wasxt/replay.mp4",
+  "duration_s": 3.64,
+  "fps": 25.0,
+  "frames": 91,
+  "sha256": "2786ec50ed480327ab7b0731cb2e7e3285072de892af23957cda4e624b5dfce6"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "return_landed_in": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 196,
+      "text_zh": "观察：视频 0.00–3.32 s，机器人在近侧底线后持拍侧移，视频 3.40–3.60 s 右臂开始快速摆拍；全片未见网球被回击越网并落入远侧场地。"
+     },
+     {
+      "t": 3.6,
+      "log_step": 200,
+      "text_zh": "观察：log step 196 明确运行最后一次现场尝试；log step 198 的服务状态为 episode=6、control_steps=362、done=true、reason=failed、resets_left=0；log step 200 读取该次记录的原生裁判结果为 the racket left your hand、stages=0，故回球落入对场未完成。"
+     },
+     {
+      "t": 3.4,
+      "log_step": 202,
+      "text_zh": "推断：log step 6、13 给出每控制步 0.01 s，log step 177 的脚本使用 control_steps/100；最后一次尝试的控制步 340–360 对应视频约 3.40–3.60 s，已用视频该段右臂开始摆拍核对，控制步 362 的终止也与视频 3.64 s 总长相符。此前各次重置的试验不计本次进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "抓握",
+      "note_zh": "观察：视频 0.00 s 起右手持有竖起的球拍，随侧移保持，视频 3.56–3.60 s 摆拍；log step 200 的本次裁判结果确认随后球拍脱手。此处只记实际持拍接触，未发生可确认的球拍击球，不另填手持工具×击打。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.60 s 机器人双脚在近侧地面交替支承，双腿与躯干支撑侧移及持拍摆臂，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "grip_break_max_s",
+   "unit": "s",
+   "threshold": 0.05,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": [
+    12.385,
+    24.27
+   ],
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": [
+    -1.365,
+    6.865
+   ],
+   "direction": "target",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "return_landed_in",
+   "t": 3.6,
+   "log_step": 196,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.40–3.60 s，机器人在近侧底线后快速转动右臂和球拍，尚未完成回球；log step 196 的最后一次现场执行结束于 the racket left your hand，log step 198 确认该局已失败并终止。断在正在进行的回球步骤，视频约 3.60 s 为脱手判负的导航锚点。"
+  },
+  "unmet": {
+   "return_landed_in": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 3.6,
+    "log_step": 200,
+    "evidence_zh": "观察：视频 0.00 s 球拍随右手竖持，视频 3.56–3.60 s 球拍快速转至近水平；log step 200 读取最后一次现场尝试的原生裁判结果为 the racket left your hand，表明此前持有的拍柄接触未保持。远景不能分清手指与拍柄的短时分离，脱手判据由该次裁判结果确认。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 3.4,
+    "log_step": 202,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 188 的控制脚本持续发送右手闭合命令 grip_right=1，未计划放拍；log step 202 的最后一次记录中，控制步 340–360（视频约 3.40–3.60 s）右肩俯仰从约 0.02 rad 变到 -0.41 rad、肘俯仰从约 0.02 rad 变到 0.57 rad，随后该次裁判报告球拍脱手（log step 200）。视频 3.40–3.60 s 也显示对应的快速摆拍，支持控制动作未能兼顾持拍稳定；现有证据不足以在抓握接触设计、轨迹与反馈子类中确定一个。"
+   }
+  ],
+  "gap_zh": "无状态日志；25 fps 固定远景无法解析右手指与拍柄的接触对、脱离起点及接触力，脱手使用最后一次现场尝试的原生裁判结果确认。log step 221 中 agent 自述相机随躯干转动的模型错误、侧移估计冻结并令目标超出可达范围；log step 196 确有定位评分下降和估计停留的记录，但没有真实相机姿态与精确机身位移作对照，故不把该具体诊断另标为感知或够不着。评分字段未报告三项原生指标的数值，均保留 null。"
+ },
+ "summary_zh": "最后一次现场尝试中，机器人持拍侧移并开始摆拍，但回球落入对场节点始终未达到，最终为 0/1。视频约 3.60 s 的快速摆拍末段，原生裁判以球拍脱手结束该局；现象为没保持住，证据支持控制动作未能维持持拍稳定。远景及缺少接触日志限制了对具体握持失效机制和 agent 相机模型诊断的核实。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与证据一致：视频仅 3.64 s，全程未见球被回击，节点 return_landed_in 未达成；log step 198/200 的服务状态与原生裁判（球拍脱手、stages=0）支持断点和「没保持住」，根因停在「控制」且未过度细分，时钟换算（控制步 0.01 s）有核对。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:17:06Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--x7wasxt/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-tennis-return-i00-standard-realtime--x7wasxt/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "272038ad9230937f92f60020b6097dde3a57a8f99858c89c02b028a496a52e00",
+   "video_sha256": "2786ec50ed480327ab7b0731cb2e7e3285072de892af23957cda4e624b5dfce6",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--5o9nhmk.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--5o9nhmk.json
new file mode 100644
index 0000000000000000000000000000000000000000..0bcd90e21524cb5ecf90df4719a9efeace523002
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--5o9nhmk.json
@@ -0,0 +1,177 @@
+{
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+ "taxonomy": "v2",
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+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
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+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
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+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 833,
+   "sim_steps": 433,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
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+   "fell": 0,
+   "replay_s": 3.79,
+   "bad_trajectory": 0,
+   "metric_flights": 1.0,
+   "metric_tuck_jump_air_s": 0.37,
+   "metric_tuck_jump_com_rise_m": 0.2529,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 307,
+   "agent_resets": 275,
+   "agent_replays": 10,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 9.738,
+   "peak_processes": 16,
+   "peak_disk_gb": 0.986,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-privileged--5o9nhmk/replay.mp4",
+  "duration_s": 4.36,
+  "fps": 25.0,
+  "frames": 109,
+  "sha256": "3b22babe00dc2c5a0666d9db03ec5a92241141cf0d83809941e32900dee4c90f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.33,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.8,
+      "log_step": null,
+      "text_zh": "观察：视频0.52–0.68 s中机器人从床面上升、双脚离床；视频0.72–0.84 s中机器人在空中屈髋屈膝，并摆动双臂，随后伸展双腿下降。"
+     },
+     {
+      "t": 0.96,
+      "log_step": null,
+      "text_zh": "观察：视频0.92–1.00 s中机器人双脚回到黑色床面，身体随床面下沉；视频1.36–4.32 s中机器人留在床面中央附近，保持屈膝、躯干直立和双臂前伸，末段视频3.20–4.32 s的密集帧中姿态基本稳定。"
+     },
+     {
+      "t": 4.32,
+      "log_step": 170,
+      "text_zh": "观察：log step 170对最终交付轨迹的两次新进程重放均成功，终态哈希相同，执行433个控制步，依次通过tuck jump、landing、stop；inputs/run.json评分字段也给出success=1、replay_success=1、deterministic=1、stages_reached=3/3、fell=0，腾空0.37秒、质心上升0.2529米。视频4.32 s最后一帧中机器人仍在床面上直立。"
+     },
+     {
+      "t": 4.33,
+      "log_step": 170,
+      "text_zh": "推断：最终交付重放的433个控制步按每步0.01秒对应视频约4.33 s，与109帧、25 fps的完整视频长度4.36秒一致；log step 159同一最终控制器的落地事件为仿真0.94 s，已在视频0.92–0.96 s的落地画面核对该映射。因此将完整团身跳、双脚落地及连续三秒站稳的联合验收时刻标在视频约4.33 s，而不在空中团身或刚落地时提前计为完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚先在黑色蹦床床面承重并蹬床起跳，视频约0.60–0.92 s离床腾空，视频约0.96 s重新以双脚接触床面承接落地，随后屈膝站在床面上；双臂在空中和落地时摆动，未见手部接触外物。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.37
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.2529
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成一次团身跳并双脚落回床面，随后消除明显回弹、保持直立屈膝站姿，在视频约4.33 s通过完整验收，最终完成1/1个节点，无失败断点。视频中的腾空、屈腿、落地和末段稳定姿态与最终交付重放及评分器的成功结果一致。无状态日志，单相机画面不能独立精确测量团身角度、短时窗口和站稳速度阈值，这些条件由评分器成功及其腾空、高度指标支持。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标注与视频和评分字段一致：团身跳、落地、站稳在433控制步（约4.33 s）通过，无失败断点；接触为腿/躯干支撑，未发现错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:07:44Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--5o9nhmk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--5o9nhmk/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "0e46683e66da5fe25340d43b8fda812ee5c30be4cf88d9dd53e210cfd2b4ee0c",
+   "video_sha256": "3b22babe00dc2c5a0666d9db03ec5a92241141cf0d83809941e32900dee4c90f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--5q6mufv.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--5q6mufv.json
new file mode 100644
index 0000000000000000000000000000000000000000..d350c5263822f0337602f9848934181240335125
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--5q6mufv.json
@@ -0,0 +1,182 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-privileged--5q6mufv",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1034,
+   "sim_steps": 1034,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 6.35,
+   "bad_trajectory": 0,
+   "metric_flights": 6.0,
+   "metric_tuck_jump_air_s": 0.4,
+   "metric_tuck_jump_com_rise_m": 0.2435,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 27,
+   "agent_resets": 22,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.67,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.24,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-privileged--5q6mufv/replay.mp4",
+  "duration_s": 10.36,
+  "fps": 25.0,
+  "frames": 259,
+  "sha256": "66e2d683d2e8007233083706c5e4d1142c28428f5e7c6166de082da984bc0d69"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      10.3,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频开局机器人双脚站在黑色红线床面中央，随后反复屈伸双腿并随床面上下预弹跳；开局站立尚未完成团身跳后落稳。"
+     },
+     {
+      "t": 4.88,
+      "log_step": null,
+      "text_zh": "观察：视频4.72–4.76 s机器人向上腾起；视频4.80–4.96 s双脚离开床面、双腿明显屈髋屈膝，随后视频5.00–5.12 s展开双腿并回落触床。此处已逐帧检查视频4.40–5.60 s。"
+     },
+     {
+      "t": 7.32,
+      "log_step": null,
+      "text_zh": "观察：视频5.64–7.32 s机器人落地后的上下运动逐渐减弱、膝部进一步弯曲；视频7.32–10.32 s保持双脚位于床面中央、躯干直立的屈膝站姿，仅有小幅上下起伏。视频9.20–10.32 s按0.08秒间隔检查，最后一帧未见摔倒或重新明显腾空。"
+     },
+     {
+      "t": 10.32,
+      "log_step": 23,
+      "text_zh": "观察：log step 23中agent脚本生成并保存最终交付轨迹，模拟器裁判返回success=True、failed=None、stages=[tuck jump, landing, stop]、steps=1034；对该交付文件的重放同样成功。log step 24的第二次重放输出True success，表示终态哈希一致且成功。inputs/run.json的评分字段同时记录replay_success=1、deterministic=1、stages_reached=3/3、fell=0。"
+     },
+     {
+      "t": 10.3,
+      "log_step": 23,
+      "text_zh": "推断：结合视频末段连续站姿与最终交付的裁判三阶段通过记录，团身跳后落稳在录像末端约视频10.3 s完成，区间起点为近似定位，不将视频5.12 s的初次落地提前记为完成。没有状态日志，录像不能独立测定关节角、骨盆速度及300控制步站稳计数，按本次评分器成功判决确认终态为真。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人左右脚先后在黑色红线蹦床床面蹬床预弹跳、起跳和承接落地；视频4.80–4.96 s团身腾空时双脚离床，随后恢复脚底支撑，并在视频7.32–10.32 s屈膝直立站稳。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.4
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.2435
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成预弹跳、空中团身、回落及消除明显回弹后的站稳，唯一节点“团身跳后落稳”在约视频10.3 s完成，终态1/1；评分器记录三个阶段全部通过且两次重放成功、确定。视频4.80–4.96 s可见腾空屈腿，视频7.32–10.32 s可见躯干直立的屈膝站姿，与成功参考的落稳表现一致。无状态日志，角度、速度和精确站稳计数无法仅凭录像独立核验，精确阈值合格由本次评分字段支持。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点“团身跳后落稳”final=true 与成功评分（stages 3/3、fell=0、replay_success=1）及视频帧一致；视频4.9 s腾空屈腿、7.3与10.3 s直立屈膝站稳；1034步≈10.34 s与区间起点10.3 s吻合；接触标签腿/躯干·支撑合理；无失败标签正确。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-30T23:59:37Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--5q6mufv/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--5q6mufv/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "416394c1c16ce3e7b81d9fd1257bfb9108ab8f04733b115dc597ae2c7837c728",
+   "video_sha256": "66e2d683d2e8007233083706c5e4d1142c28428f5e7c6166de082da984bc0d69",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--oeqgnzg.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--oeqgnzg.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a37b823700e8d92bf4d53ca1ad4a71bfa2f6741
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--oeqgnzg.json
@@ -0,0 +1,182 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-privileged--oeqgnzg",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 507,
+   "sim_steps": 507,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 4.45,
+   "bad_trajectory": 0,
+   "metric_flights": 1.0,
+   "metric_tuck_jump_air_s": 0.345,
+   "metric_tuck_jump_com_rise_m": 0.196,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 92,
+   "agent_resets": 0,
+   "agent_replays": 5,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 2.405,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.249,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-privileged--oeqgnzg/replay.mp4",
+  "duration_s": 5.08,
+  "fps": 25.0,
+  "frames": 127,
+  "sha256": "f89c04a2bb749d5bd7c6c932b0e7b627e0e7dbe2cecb111951ccd7d80231a81b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.07,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人站在黑色红线蹦床床面中央，尚未进行团身跳，开局站立不满足本复合节点。"
+     },
+     {
+      "t": 1.2,
+      "log_step": null,
+      "text_zh": "观察：逐帧查看视频 0.48–1.76 s；机器人先屈腿下沉再向上伸展，视频约 1.12 s 双脚与床面之间出现间隙，视频 1.16–1.24 s 空中双腿屈髋屈膝，随后伸腿下降，视频约 1.44 s 双脚回到床面。此时仅完成跳跃与落地，尚不能计为站稳三秒。"
+     },
+     {
+      "t": 5.04,
+      "log_step": null,
+      "text_zh": "观察：视频 1.44–2.32 s 机器人落地后仍有上下运动，视频约 2.20–5.04 s 保持床面中央的近直立站姿，上下运动明显减小；视频 4.04–5.04 s 已逐帧检查，未见跌倒或再次明显腾空。"
+     },
+     {
+      "t": 5.04,
+      "log_step": 73,
+      "text_zh": "观察：log step 72 重新生成并保存最终交付的 507 行轨迹，裁判事件依次记为团身跳、落地、停止；log step 73 对该文件进行两次独立新进程重放，均为 success=true、failed=null、steps=507，终态哈希一致。inputs/run.json 的评分器字段同样给出 success=1、replay_success=1、deterministic=1、stages_reached=3/3、metric_flights=1、腾空 0.345 s、质心上升 0.196 m。"
+     },
+     {
+      "t": 5.07,
+      "log_step": 73,
+      "text_zh": "推断：log step 24 记录每个控制步为 10 毫秒，log step 72–73 的最终交付重放共 507 步，即仿真 5.07 s，与视频时长 5.08 s 一致；log step 72 的落地事件仿真 1.434 s 也与视频约 1.44 s 的触床相符。因此按控制步映射将完整节点首次达成锚定为视频约 5.07 s（最后已检查画面为视频 5.04 s，精度约一帧）；连续站稳三秒及精确角度、速度条件由成功裁判结果确认，不能从较早的静止外观提前计完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人左右脚作用于黑色红线蹦床床面，视频 0.48–1.08 s 屈伸腿蹬床；视频约 1.12–1.40 s 腾空期间双脚离床；视频约 1.44 s 双脚落回床面，随后通过脚底承重与腿部屈伸消除回弹，至视频 5.04 s 保持站立。未见上肢参与接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.345
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.196
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成一次团身腾空，于视频约 1.44 s 双脚落回蹦床，随后逐渐抑制回弹并保持近直立站姿，完整节点在视频末端约 5.07 s 达成，最终 1/1。评分器确认三个阶段全部通过，腾空 0.345 s、质心上升 0.196 m，且最终交付文件的两次独立重放均成功、终态哈希一致（log step 73）。无状态日志，视频难以独立精确测量团身角度窗口、脚部落地同步差与站稳速度阈值；这些验收依评分器和交付重放结果确认，完成时间由控制步数映射并以视频落地画面核对。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与视频、评分器字段一致：单节点最终达成，时间由控制步映射（507步=5.07 s）并以落地画面核对，接触为腿/躯干支撑，无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:01:38Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--oeqgnzg/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--oeqgnzg/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "058d140ee6a0c03ee6d9248cc2fa4302c5dcfeef604f73fe84cbee7ec70408f2",
+   "video_sha256": "f89c04a2bb749d5bd7c6c932b0e7b627e0e7dbe2cecb111951ccd7d80231a81b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--rfn9dn7.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--rfn9dn7.json
new file mode 100644
index 0000000000000000000000000000000000000000..d11ba4dc97e5ee526ab12ff38f3123ca28da300d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--rfn9dn7.json
@@ -0,0 +1,177 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-privileged--rfn9dn7",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 647,
+   "sim_steps": 647,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 5.33,
+   "bad_trajectory": 0,
+   "metric_flights": 1.0,
+   "metric_tuck_jump_air_s": 0.365,
+   "metric_tuck_jump_com_rise_m": 0.2098,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 239,
+   "agent_resets": 1058,
+   "agent_replays": 70,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.927,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.843,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-privileged--rfn9dn7/replay.mp4",
+  "duration_s": 6.48,
+  "fps": 25.0,
+  "frames": 162,
+  "sha256": "3e43b666df32b05327fa6bb1ad14c5e76e5358a0b74d00425ed8ac3768427e93"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.44,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": null,
+      "text_zh": "观察：视频 1.60–1.88 s 机器人屈腿蓄力，视频约 1.96–2.28 s 双脚离开黑色床面，其中视频 2.12–2.24 s 可见屈髋屈膝团身；视频约 2.32–2.40 s 双脚回到床面并屈腿承重。"
+     },
+     {
+      "t": 6.44,
+      "log_step": null,
+      "text_zh": "观察：视频 2.64–3.44 s 机器人在床面上调整腿部并消减回弹，视频 3.52–6.44 s 躯干保持基本直立、双脚靠近且没有明显腾空；逐帧检查视频 5.44–6.44 s 未见倒下或离开床面。"
+     },
+     {
+      "t": 6.44,
+      "log_step": 766,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=3/3、metric_flights=1；log step 765–766 对最终保存文件的两次新进程重放均返回 tuck jump、landing、stop 三阶段通过，且终态哈希一致，报告腾空 0.365 s、质心升高 0.2098 m。"
+     },
+     {
+      "t": 6.44,
+      "log_step": null,
+      "text_zh": "推断：结合末段视频与评分器成功结果，完整“团身跳后落稳”节点在视频结束附近通过；以最后实帧视频 6.44 s 作完成锚点，约有 0.1 s 的时间不确定性。无状态日志，不能从画面独立精确核验团身角度、50 毫秒窗口、落脚时差及站稳速度阈值；这些细项依据本次评分器验收，不将起跳或刚落地提前记为完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人以左右脚接触黑色蹦床床面蓄力起跳，视频约 1.96–2.28 s 腾空团身时双脚离床，随后双脚重新触床承重并通过腿部调整消减回弹，末段由脚部支撑站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.365
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.2098
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：机器人完成一次团身腾空并回落床面，随后消减回弹、保持直立，完整跳跃节点在视频结束附近达到，最终为 1/1。观察：评分器判定成功，三个验收阶段全部通过，报告腾空 0.365 s、质心升高 0.2098 m，最终文件的两次重放结果与终态哈希一致。推断：完成时间以视频 6.44 s 末帧近似定位；无状态日志，精确关节角、接触时差和连续三秒站稳计数依赖评分器结果。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "节点时间、接触、final=1 与视频及评分器一致：n_actions=647（约6.47 s）且 episode_over=1，成功即在末尾，6.44 s 锚点合理；无失败层，无需修改。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:08:33Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--rfn9dn7/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--rfn9dn7/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "97658c8ad6592be5c7801db727dd243d916f0a086d52ad73539890babe0a2d21",
+   "video_sha256": "3e43b666df32b05327fa6bb1ad14c5e76e5358a0b74d00425ed8ac3768427e93",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu.json
new file mode 100644
index 0000000000000000000000000000000000000000..84016cdc6ae8695052688fb5ea42554d88fde542
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu.json
@@ -0,0 +1,204 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-privileged--thfw4gu",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 621,
+   "sim_steps": 621,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 6.21,
+   "bad_trajectory": 0,
+   "metric_flights": 1.0,
+   "metric_tuck_jump_air_s": 0.46,
+   "metric_tuck_jump_com_rise_m": 0.3265,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 125,
+   "agent_resets": 6514,
+   "agent_replays": 22,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 3.393,
+   "peak_processes": 25,
+   "peak_disk_gb": 0.873,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu/replay.mp4",
+  "duration_s": 6.24,
+  "fps": 25.0,
+  "frames": 156,
+  "sha256": "7f32cad99829f53fb0ed97b438ca96913006b6740cbb6cacd3bfcf860bf88dce"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人双脚站在黑色红线床面中央，尚未起跳；开局站姿不满足团身跳后落稳的复合判据。"
+     },
+     {
+      "t": 0.76,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 0.00–1.44 s，机器人先屈膝蹬床，视频约 0.60 s 双脚离床；视频 0.68–0.88 s 可见腾空时屈髋屈膝、双脚收向身体，随后伸腿下降。"
+     },
+     {
+      "t": 1.08,
+      "log_step": null,
+      "text_zh": "观察：视频 1.04–1.12 s 机器人双脚回到中央床面，随后屈膝吸收回弹；视频 1.20–3.60 s 身体先保持较低姿态再缓慢伸展，未见再次明显腾空或倒下。落地时尚未完成后续连续三秒站稳的验收。"
+     },
+     {
+      "t": 6.2,
+      "log_step": 158,
+      "text_zh": "观察：视频 3.60–6.20 s 机器人在中央床面保持近直立站姿，逐帧检查视频 5.16–6.20 s 未见再腾空或失去支撑。inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=3/3、metric_flights=1；log step 158 对最终交付文件的两次新进程重放均报告 tuck jump、landing、stop 全部通过，且终态哈希相同。"
+     },
+     {
+      "t": 6.2,
+      "log_step": 146,
+      "text_zh": "推断：log step 157 的最终生成器使用每控制步 0.01 s，log step 158 的最终文件执行 621 步，即仿真 6.21 s，与视频总长 6.24 s 相符；同一终态哈希版本在 log step 146 的落地事件为仿真 1.056 s，已与视频 1.04–1.08 s 的触床核对。因此将停止验收完成定位到末帧视频约 6.20 s，时间按 25 fps 近似；节点此时达到并保持至片尾。精确团身角度、速度及站稳计数依据评分器通过结果，不能由该远景画面独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.56 s 机器人的左右脚在黑色床面支撑并蹬床；视频约 0.60–1.04 s 双脚离床完成空中团身；视频约 1.08 s 双脚落回床面，经屈膝缓冲和缓慢恢复站姿后持续支撑至视频 6.20 s。双臂前摆后放下，未见手、膝或躯干接触床面。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.46
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.3265
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成一次团身跳，视频约 1.08 s 双脚落回床面，随后屈膝吸收回弹并恢复站姿；结合最终交付重放的停止验收，唯一节点在视频约 6.20 s 达成，最终为 1/1，评分成功。评分器报告腾空 0.46 s、质心升高 0.3265 m，分别超过 0.10 s 与 0.10 m 的阈值；无状态日志，远景录像不能独立精确测量关节角度、速度和连续站稳计数，这些验收细节依据评分器及最终文件的两次一致重放结果。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "唯一节点已达成（final=1 正确，评分器 success=1、stages 3/3、metric_flights=1），但达成时间定位错误：把区间起点放在视频末帧 6.2 s，而停止验收只需落地后连续 300 个 10 ms 控制步（约 3 s），落地在视频约 1.06–1.08 s，故最早约 4.1 s 达成。同一任务的 oracle 成功视频也在落地后约 3 s（4.36 s）结束。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一节点 final=true 正确；裁判原始事件（run.json log step 146）给出 stop 与 success 的仿真时间为 6.21 s，落地 1.056 s，说明停止验收在片尾才完成（站稳计数在落地后经过恢复期才满足），区间起点 6.2 s 有裁判事件支持。上轮 I1 的 4.1 s 推测被该事件否定。接触、摘要均无误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:16:31Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--thfw4gu/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "71087a9a08d8af215c113a8795326e836e78eaf1f2106c65bb15434c82304fbb",
+   "video_sha256": "7f32cad99829f53fb0ed97b438ca96913006b6740cbb6cacd3bfcf860bf88dce",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--unjqdpk.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--unjqdpk.json
new file mode 100644
index 0000000000000000000000000000000000000000..7906576b6baeb40fc7cf2a2843cc623df1cafebb
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--unjqdpk.json
@@ -0,0 +1,177 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-privileged--unjqdpk",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 524,
+   "sim_steps": 524,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 4.5,
+   "bad_trajectory": 0,
+   "metric_flights": 1.0,
+   "metric_tuck_jump_air_s": 0.28,
+   "metric_tuck_jump_com_rise_m": 0.1563,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 42,
+   "agent_resets": 134,
+   "agent_replays": 3,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.719,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.251,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-privileged--unjqdpk/replay.mp4",
+  "duration_s": 5.28,
+  "fps": 25.0,
+  "frames": 132,
+  "sha256": "b31b1a57ef8656d4c23c845b1e4c78ac0c76590c8e3a82c59f73f47c3055a6a9"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.24,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.68,
+      "log_step": null,
+      "text_zh": "观察：视频0.40–0.56 s机器人由床面向上伸展；视频0.60–0.80 s双脚离开黑色红线床面，双腿屈髋屈膝，随后展开回落。视频0.88–0.96 s双脚回到床面，躯干仍直立；这是本次评分录像中的一次团身跳。"
+     },
+     {
+      "t": 2.4,
+      "log_step": null,
+      "text_zh": "观察：视频1.00–2.20 s机器人在床面上吸收回弹并小幅调整站姿；视频2.40–5.24 s保持屈膝直立，脚留在床面上，身体位置基本稳定。已逐帧检查视频0.40–1.20 s，并加密检查视频4.00–5.24 s，末帧未见倒下或重新起跳。"
+     },
+     {
+      "t": 5.24,
+      "log_step": null,
+      "text_zh": "观察：本次run.json评分器字段success=1、replay_success=1、deterministic=1、stages_reached=3/3、fell=0，metric_flights=1，metric_tuck_jump_air_s=0.28 s、metric_tuck_jump_com_rise_m=0.1563 m；评分器确认完整动作及停止验收通过。"
+     },
+     {
+      "t": 5.24,
+      "log_step": 74,
+      "text_zh": "推断：本节点包含落地后连续站稳三秒，不能在视频约0.88 s落地时计为完成。结合评分器确认成功与视频5.24 s末帧的稳定站姿，将完成锚点记在视频5.24 s（约数）；log step 74的agent最终报告自述交付524个控制步并通过两次重放，与评分器n_actions=524一致，但不以agent工作时间换算视频时间。无逐帧状态日志，三秒计数及精确关节角、速度由成功判决支持，不能单凭画面精确复测。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人左右脚先在黑色蹦床床面上承重并蹬床起跳；视频0.60–0.80 s空中屈腿时双脚离床；视频约0.88 s回到床面后由脚承接落地，随后在床面上支撑站稳至视频5.24 s。双臂随身体调整，未见手接触床面。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.28
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.1563
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成一次团身跳，视频约0.88 s落回床面并吸收回弹，视频2.40–5.24 s保持稳定屈膝站姿；评分器确认团身跳、落地、停止三个阶段全部通过，唯一语义节点于视频末段完成，终态1/1。评分器记录腾空0.28秒、质心上升0.1563米，均超过任务阈值，本次无失败断点。无状态日志，画面不能独立精确复核团身角度、双脚触床间隔及连续三秒的速度等数值条件，相关验收以本次评分器成功判决为依据。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "唯一节点视频 5.24 s 完成、final true，与评分器 success=1、stages 3/3、fell=0、n_actions=524（100 Hz → 5.24 s）一致；contact_actual 为腿/躯干×支撑，合理；无失败标签正确。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:06:42Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--unjqdpk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--unjqdpk/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f262d73af1fcd964a036497a8b6a4796ed9c88332f7b9b8d094e5281c3ee246e",
+   "video_sha256": "b31b1a57ef8656d4c23c845b1e4c78ac0c76590c8e3a82c59f73f47c3055a6a9",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--xmt2x76.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--xmt2x76.json
new file mode 100644
index 0000000000000000000000000000000000000000..9f98e91b892454a6918557711ecc46b08819e3de
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-privileged--xmt2x76.json
@@ -0,0 +1,182 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-privileged--xmt2x76",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 688,
+   "sim_steps": 688,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 8.42,
+   "bad_trajectory": 0,
+   "metric_flights": 2.0,
+   "metric_tuck_jump_air_s": 0.416,
+   "metric_tuck_jump_com_rise_m": 0.2697,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 170,
+   "agent_resets": 28,
+   "agent_replays": 4,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.321,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.24,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0,
+   "session_log_tampered": 0,
+   "session_log_from_monitor": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-privileged--xmt2x76/replay.mp4",
+  "duration_s": 6.92,
+  "fps": 25.0,
+  "frames": 173,
+  "sha256": "866212650fb3cf408153618e0aaa18795a224c7521671e838afeb3bfe89aee88"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.88,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 1.24,
+      "log_step": null,
+      "text_zh": "观察：视频约1.04–1.36 s，灰色机器人双脚离开黑色红线床面，双腿在视频1.20–1.32 s明显屈髋屈膝，随后伸腿下降；开局站姿不计为已完成团身跳。"
+     },
+     {
+      "t": 1.44,
+      "log_step": null,
+      "text_zh": "观察：视频1.40–1.44 s，机器人双脚回到黑色床面，随后屈腿承接床面回弹；视频1.84–2.04 s有一次短促、腿部较伸展的收尾回弹，之后保持脚部支承，未见倒下。"
+     },
+     {
+      "t": 6.88,
+      "log_step": null,
+      "text_zh": "观察：视频2.88–5.76 s的放大帧显示机器人躯干基本直立、双膝弯曲，后期上下运动逐渐减小；视频5.76–6.88 s逐帧检查中机器人保持床内站姿，双手远离床面，末帧未见姿态失稳。"
+     },
+     {
+      "t": 6.88,
+      "log_step": 185,
+      "text_zh": "观察：log step 184的脚本生成并保存688行交付轨迹；log step 185对该文件的重放输出success=true、failed=null、stages=[tuck jump, landing, stop]、steps=688、time_s=6.88。评分器reward亦报告replay_success=1、deterministic=1、stages_reached=3/3，团身腾空0.416秒、质心上升0.2697米。"
+     },
+     {
+      "t": 6.88,
+      "log_step": 185,
+      "text_zh": "推断：交付文件在log step 185重放的688个控制步对应仿真6.88 s，即每步0.01 s；该总时长与视频6.92 s相符。相同控制器在log step 183报告的仿真1.41 s团身落地事件与视频1.40–1.44 s落地吻合，仿真6.88 s停止验收对应视频约6.88 s末帧，故将完整节点首次达成记在视频6.88 s，而非首次落床时；精确团身角度、速度及连续站稳窗口由交付重放验收支持。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚在黑色床面支承并蹬床起跳；视频约1.04–1.36 s团身腾空时双脚离床，视频约1.40–1.44 s以双脚落床承重，随后承接一次短促回弹并继续以脚部支承至视频6.88 s。未见手、膝或躯干接触床面。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.416
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.2697
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成团身腾空、双脚落床及收尾回弹后的站稳，完整节点在视频约6.88 s达成，最终1/1；交付文件重放和评分器均确认成功。无状态日志，视频能辨认跳跃、屈腿和末段站姿，但无法独立精测团身角度、速度及连续三秒站稳窗口，精确阈值依据交付重放的裁判验收。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，单一目标节点达成、final=1 与评分器 3/3 阶段、视频（约1.0–1.4 s腾空团身、之后站稳至末帧）及 log step 185 重放一致；688步×0.01 s=6.88 s 的步数换算有证据并已标为推断，contact_actual 为腿/躯干支撑，合理；无失败层。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:00:14Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--xmt2x76/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-privileged--xmt2x76/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "5d25bae4d87d04bc75356c2b337bbbec18ba4dd612cd4e6f211bd417dc386eaa",
+   "video_sha256": "866212650fb3cf408153618e0aaa18795a224c7521671e838afeb3bfe89aee88",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--74s8lg5.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--74s8lg5.json
new file mode 100644
index 0000000000000000000000000000000000000000..a21d09640228dc9229bcba32d67dae40921b0b6d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--74s8lg5.json
@@ -0,0 +1,191 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-standard--74s8lg5",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 129,
+   "sim_steps": 1280,
+   "calls": 26,
+   "rows": 1280,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2714.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.718,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.339,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-standard--74s8lg5/replay.mp4",
+  "duration_s": 1.32,
+  "fps": 25.0,
+  "frames": 33,
+  "sha256": "adb1b49a219edc801817804e994f3b7ec49b193e394cc9055bdf19b855b770cb"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": null,
+      "text_zh": "观察：已检查本次视频全部33帧（视频0.00–1.28 s）；机器人先屈膝下沉、伸腿，再于视频0.52–0.72 s屈腿并摆臂，之后没有完成团身跳后连续站稳。成功参考视频0.56–1.00 s可辨腾空、屈腿和回落，参考视频1.40–4.20 s保持站姿，仅用于识别完成外观。"
+     },
+     {
+      "t": 1.28,
+      "log_step": 416,
+      "text_zh": "观察：本次视频0.80 s起机器人后仰，视频1.12–1.28 s持续向后倒下，末帧躯干落到床面。log step 416记录agent重置到episode 6并实际提交499行关节目标；现场服务只执行129个控制步即返回failed、stages_reached=0/3，具体outcome为“a different element before the tuck jump (a pike or a bent jump)”。这与未完成团身跳并落稳相符，先前episode及离线自测不计入本次节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–0.36 s机器人双脚在黑色红线床面上承重并屈伸腿，随后在床面中央上下运动；视频0.80–1.28 s双脚支撑未能阻止后仰，最后躯干倒落到床面。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "tuck_jump_landed_stopped",
+   "t": 0.8,
+   "log_step": 416,
+   "where": "操作中",
+   "evidence_zh": "观察：机器人正在执行团身跳及落稳尝试，视频0.52–0.72 s屈腿摆臂后，视频约0.80 s开始后仰，视频1.24–1.28 s倒落床面，始终未恢复站稳。log step 416的本次现场服务反馈为团身跳前出现其他动作、三个阶段均未达成；故失败步骤为团身跳后落稳，而非把终止规则另作断点。"
+  },
+  "unmet": {
+   "tuck_jump_landed_stopped": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 0.8,
+    "log_step": 416,
+    "evidence_zh": "观察：视频0.80–0.92 s机器人躯干明显后仰，视频1.00–1.20 s屈膝时躯干继续向后下方倾倒，视频1.24–1.28 s躯干落到床面，未恢复脚部支撑下的直立站姿。现场服务在log step 416结束本次尝试；其报告的判负原因为团身前其他动作，不将跌倒臆作服务返回的判负原因。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 411的交付脚本按固定行数依次给出蹬伸、短暂团身、展开和吸收回弹的关节目标，并将整个序列一次性提交，不依据现场离床、触床或躯干姿态调整时序。log step 416确认该脚本用于本次episode 6，但服务没有接受团身阶段；视频0.80–1.28 s还显示持续后仰直至倒床。预定关节序列未能在现场实现所需动作和稳定支撑，支持控制层归因；不能据此确定具体增益、关节参数或动力学误差。"
+   }
+  ],
+  "gap_zh": "没有状态日志；固定远景视频为25 fps，无法精确量出双腿髋膝角、连续0.05秒团身窗口、质心升高及站稳速度阈值，具体动作违规的首个控制步也不可定位。log step 409–410的高度、腾空和站稳数值来自agent自建离线仿真，不能充当本次现场指标或节点证据；现场评分字段未报告DAG的两项原生指标，均填null。现场控制与离线预测为何不同缺乏直接测量，因此根因不细分。"
+ },
+ "summary_zh": "本次评分对应log step 416重置后执行的episode 6，团身跳后落稳节点从未完成，最终0/1。机器人屈伸腿和摆臂后于视频约0.80 s开始后仰，视频1.24–1.28 s倒落床面；现场裁判报告团身跳前出现其他动作且阶段为0/3，交付的固定关节时序未能实现合格动作与落稳，根因归控制。无状态日志，无法核验精确团身窗口及高度，也无法确定控制偏差的具体参数来源。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "视频全33帧显示机器人屈伸腿、摆臂后约0.8 s后仰并在1.2–1.32 s倒落床面，与标注一致；log step 416的现场服务读数（control_steps=129≈视频1.29 s、failed、0/3、团身前其他动作）与视频时长吻合，节点false、最终0、断点与平衡现象、控制根因均有证据支持，未发现需改动之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:12:08Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--74s8lg5/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--74s8lg5/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e2a4e58fed2132fa66559b2c607fa2b8175b615e26145114092f15fa9a364719",
+   "video_sha256": "adb1b49a219edc801817804e994f3b7ec49b193e394cc9055bdf19b855b770cb",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--9wfstwe.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--9wfstwe.json
new file mode 100644
index 0000000000000000000000000000000000000000..12b4751aded6d98a5882ad849a816e1cdbaa1fd7
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--9wfstwe.json
@@ -0,0 +1,194 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-standard--9wfstwe",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 193,
+   "sim_steps": 9282,
+   "calls": 1363,
+   "rows": 9209,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 2089.1,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 1,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.0,
+   "peak_processes": 0.0,
+   "peak_disk_gb": 0.0,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-standard--9wfstwe/replay.mp4",
+  "duration_s": 1.96,
+  "fps": 25.0,
+  "frames": 49,
+  "sha256": "6a43a8a58c6580b42404321479707a17c26fd056f1eebf7638eeb9a4f6736ad8"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.84,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.72 s 机器人在黑色床面上站立、屈腿并蹬伸，视频 0.76–0.92 s 双脚离床、双腿屈髋屈膝，视频约 0.96–1.04 s 回落到床面。"
+     },
+     {
+      "t": 1.92,
+      "log_step": 198,
+      "text_zh": "观察：视频 1.12–1.76 s 机器人仍随床面上下回弹，视频 1.80–1.92 s 躯干倾斜迅速增大、双腿前后错开，未站稳；log step 198 的最后一次现场尝试由服务裁判报告 stages_reached=2、stages_total=3，失败原因为团身后第二次腾空。log step 199 确认终局为 episode 51、control_steps=193，与评分器 n_actions=193 一致。"
+     },
+     {
+      "t": 1.92,
+      "log_step": null,
+      "text_zh": "推断：已逐帧检查视频 0.00–1.92 s；团身与落地的部分阶段不构成整个节点完成，落地后继续弹跳并失衡，且整段视频仅 1.96 s，未满足落地后连续站稳三秒，因此节点全程未达成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人左右脚先在黑色蹦床床面承重、蹬床起跳，团身腾空时双脚离床，随后以脚承接落地并继续回弹；视频末段失衡。未据此推定手或躯干已触床。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "tuck_jump_landed_stopped",
+   "t": 1.8,
+   "log_step": 198,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 0.96–1.04 s 机器人团身后落床，但视频 1.12–1.76 s 仍回弹，视频 1.80–1.92 s 躯干持续倾倒而未恢复直立。log step 198 的最终现场裁判报告团身、落地两阶段通过，因团身后的第二次腾空而失败，尚未完成停止阶段；失败发生在同一跳跃步骤的落地恢复过程中。"
+  },
+  "unmet": {
+   "tuck_jump_landed_stopped": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.8,
+    "log_step": 198,
+    "evidence_zh": "观察：视频 1.80–1.92 s 机器人的躯干从倾斜变为接近横卧，双腿错开，未保持脚下支撑与直立姿态；视频此前的回弹也没有转为稳定站立。log step 198 的最终裁判结果为团身后第二次腾空判负。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "反馈控制",
+    "evidence_zh": "推断：落地恢复控制未能消除回弹并稳定躯干。log step 198 记录最终尝试的 recovery_s=0.25、0.50、0.75 的俯仰和角速度反馈，终局躯干角速度 imu_torso_gy=6.314；log step 199 展示控制脚本按反馈施加 lowcmd，并在 i==94 切到零速度命令的 walk_falcon，log step 198 终局 mode=5。视频 1.80–1.92 s 可见最终倾倒，支持控制恢复失稳；没有证据将失败进一步确定为某个增益设置错误。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志；视频可辨团身、落床、回弹及末段倾倒，但不能独立精确核验团身持续时间、质心增高和逐脚接触阈值，部分阶段通过以 log step 198 的最终现场裁判结果补充。日志中控制脚本正文有截断，无法确定反馈增益与切换到 walk_falcon 各自对多余腾空和失衡的贡献；原生两项指标未在评分器字段报告，保留 null。"
+ },
+ "summary_zh": "最终受评分的现场尝试完成团身和落地两个裁判阶段，但落床后继续回弹，视频 1.80–1.92 s 明显失衡，裁判因团身后的第二次腾空判负；完整“团身跳后落稳”节点未完成，终态为 0/1。日志与视频支持落地恢复反馈控制未能稳定身体，具体增益和控制器切换的贡献无法分离；无状态日志，精确团身阈值及原生指标不可独立核验。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点、平衡现象与反馈控制根因均与视频及 log step 198/199 一致（裁判 stages 2/3，团身后第二次腾空；视频 1.6–1.92 s 末段躯干后仰倾倒）。未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:14:05Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--9wfstwe/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--9wfstwe/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "dcbbf185caea10bebcaf0f38a2a37a28b4e541f0b31fc7c71619b9a5a20a693c",
+   "video_sha256": "6a43a8a58c6580b42404321479707a17c26fd056f1eebf7638eeb9a4f6736ad8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--drproyf.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--drproyf.json
new file mode 100644
index 0000000000000000000000000000000000000000..a52e5314bc851a6aad278e91831b00e5a305cff8
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--drproyf.json
@@ -0,0 +1,219 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-standard--drproyf",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 395,
+   "sim_steps": 1692,
+   "calls": 15,
+   "rows": 1692,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2616.8,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 1.222,
+   "peak_processes": 12,
+   "peak_disk_gb": 0.348,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-standard--drproyf/replay.mp4",
+  "duration_s": 3.96,
+  "fps": 25.0,
+  "frames": 99,
+  "sha256": "bfff7c00f9724b595bcccb9b62f863c622f7b212d00fbf118a3fac4bbd2411a4"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–3.80 s，机器人在黑色红线床面中央基本保持直立，双脚承重；开局站立之前未发生团身跳，不能计为本节点完成。"
+     },
+     {
+      "t": 3.88,
+      "log_step": 161,
+      "text_zh": "观察：视频 3.84–3.92 s 机器人开始屈膝、身体下降，至末帧仍未出现完整团身跳及其后的落地站稳过程。log step 161 的最后一次现场尝试经 reset 后为 episode 6，服务返回 stages=0/3、done=True、reason=failed，判词为团身跳前出现其他屈体动作；这与录像末段即结束相符。"
+     },
+     {
+      "t": 3.92,
+      "log_step": 161,
+      "text_zh": "推断：log step 3 给出控制周期 0.01 s；log step 161 的本回合 control_steps=395 对应仿真 3.95 s，与视频总长 3.96 s 及视频 3.84–3.92 s 的末段屈膝相核对。1692 是历次回合累计步数，不用于本视频计时；日志中的本地仿真起跳、落地事件也不是本回合已达节点的证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.80 s，机器人双脚与蹦床黑色床面接触承重；视频 3.84–3.92 s 在床面中央开始屈膝准备跳跃。脚部瞬时离床和回触的精确时刻不能由这些远景帧可靠辨清，未据此补写成功落地接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "tuck_jump_landed_stopped",
+   "t": 3.84,
+   "log_step": 161,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.84–3.92 s 机器人开始屈膝，尚未完成团身跳；log step 161 明确记录最后一次 reset 后 episode 6 在控制步 395 结束，现场裁判判定“a different element before the tuck jump (a pike or a bent jump)”，stages=0/3。失败发生在跳跃动作的准备与启动过程中，此后没有修复。"
+  },
+  "unmet": {
+   "tuck_jump_landed_stopped": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 3.88,
+    "log_step": 161,
+    "evidence_zh": "观察：视频 3.84–3.92 s 机器人只出现屈膝下沉，未形成参考成功录像中可见的完整腾空团身、落地和后续站稳，末帧没有翻倒。log step 161 的现场裁判将本次动作认定为合格团身前的其他屈体腾空，并在 stages=0/3 时终止；跳跃动作形态未满足要求。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "evidence_zh": "观察：log step 131、135、136、161 的现场服务在 episode 3、4、5、6 均返回 outcome=\"a different element before the tuck jump (a pike or a bent jump)\"、reason=failed、stages=0/3；log step 135、136 的提交代码分别设置500、900毫秒床面屈腿过程，log step 160 将最后方案设为1400毫秒且 push_delay=0，log step 161 执行该方案仍在 control_steps=395、仿真3.95 s 终止。视频3.84–3.92 s 可见机器人在床面中央屈膝，未见完整团身跳。推断：所试先在床面屈腿、再蹬床起跳的承载与接触时序设计不适配现场蹦床响应，在合格团身前产生了裁判认定的弯腿腾空；多种屈腿时长下重复出现这一结果，支持接触设计归因，不足以证明某个参数错误或反馈跟踪失稳。log step 165 关于床面卸载及所有折叠速度均失败的解释是 agent 自述，仅作旁证，不据此断言所有下蹲方案必然失败。替代接触方案能否成功未验证。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "本次无状态日志；远景录像只有25 fps，末段轻微屈膝可见，但不能独立核验裁判所用的瞬时离床、髋膝角度及连续团身窗口。动作违规的具体类别采用 log step 161 最后回合的服务裁判结果；此前回合的服务判词只用于根因推断，其传感分析与本地仿真不作为本次接触或节点达成的证据。评分字段未报告两个原生指标，均保留 null。接触设计归因由多次现场提交及其相同判词推断，床面卸载的具体动力学机制及替代方案是否可行仍未验证；不能由 agent 自述认定所有床面下蹲方案均不可行。"
+ },
+ "summary_zh": "本次评分录像中机器人先在床面中央站立，视频约3.84 s 开始屈膝，未完成“团身跳后落稳”，最终节点为0/1；最后一次现场回合在控制步395因团身前出现其他屈体动作终止（log step 161）。多种屈腿时长下现场服务均返回同类违规，推断所试床面下蹲方案的承载与接触时序设计不适配，根因归为控制·抓取和接触设计。无状态日志，具体卸载机制和替代方案未验证，根因仍属推断，置信度由7降至6。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点0/1、断点 tuck_jump_landed_stopped、时钟换算（395步=3.95 s≈视频3.96 s）均与视频和服务读数相符；问题在根因：把失败归为“开环控制未奏效”，但证据显示是折叠/下蹲方案本身在床面上必然触发≥0.1 s的屈体腾空（六次回合、不同折叠速度均同一判词），应按判别次序归接触/动作设计而非停在控制；另外根因证据引用的 log step 130、160 内容不符。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点0/1、断点 tuck_jump_landed_stopped、时钟换算（395控制步=3.95 s≈视频3.96 s）均与视频和 log step 161 服务读数相符；第1轮改后的根因（接触设计，标为推断，agent自述仅作旁证）与现象（步态）有证据且措辞克制，未见需改内容。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:14:51Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--drproyf/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--drproyf/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--drproyf/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--drproyf/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "02b537dbfda7081e781fe65baf1ad476591d9ede0f9fac60cf5fb00c2608f28f",
+   "video_sha256": "bfff7c00f9724b595bcccb9b62f863c622f7b212d00fbf118a3fac4bbd2411a4",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--hhstbpp.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--hhstbpp.json
new file mode 100644
index 0000000000000000000000000000000000000000..ffd5ce74607f699fc4bbe7bea785113e62ab832d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--hhstbpp.json
@@ -0,0 +1,177 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-standard--hhstbpp",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "live_success": 1,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
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+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-standard--hhstbpp/replay.mp4",
+  "duration_s": 4.88,
+  "fps": 25.0,
+  "frames": 122,
+  "sha256": "752017ae3fcccb22ce70810db385428b4fee9dae87d8625776c15182ba736da5"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.84,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.92,
+      "log_step": null,
+      "text_zh": "观察：视频0.72–0.84 s机器人从黑色红线床面上升，视频0.88、0.92、0.96 s双脚离床、髋膝弯曲形成团身；视频1.00–1.08 s伸腿回落，双脚重新落在床面。逐帧检查视频0.40–1.56 s，未见倒下。"
+     },
+     {
+      "t": 2.44,
+      "log_step": null,
+      "text_zh": "观察：视频1.20–1.60 s机器人落地后屈膝缓冲，视频1.72–2.44 s逐渐伸腿恢复直立；视频2.44–4.84 s双脚留在床面、身体基本静止。视频3.88–4.84 s逐帧检查，终帧仍为直立站姿。"
+     },
+     {
+      "t": 4.84,
+      "log_step": 95,
+      "text_zh": "观察：log step 95中机器人现场服务的最终状态为episode=1、control_steps=486、done=true、reason=success，服务元数据为stages_reached=3、stages_total=3、sim_time_s=4.86；inputs/run.json的评分器字段live_success=1、graded_by_live=1、resets=0，与视频的单次起跳和最终站立一致。"
+     },
+     {
+      "t": 4.84,
+      "log_step": 95,
+      "text_zh": "推断：log step 7提供控制周期0.01 s，log step 95的486个现场控制步对应仿真4.86 s；该终止点与视频4.84 s最后一帧及4.88 s片长在一帧内吻合。结合现场裁判三阶段通过，将含三秒站稳窗口的完整节点在视频约4.84 s记为达到（末帧锚点，约有一帧误差），开局站立、空中团身及刚落地均不提前计入完成。无逐帧状态日志，细小速度、角度及接触时差阈值依据现场裁判成功验收。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人左右脚在黑色红线蹦床床面蹬伸起跳，视频0.88–0.96 s团身腾空时双脚离床，视频约1.04–1.08 s双脚落回床面承重；随后屈膝缓冲、伸腿并站立至视频4.84 s。手臂未见与床面接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成唯一节点“团身跳后落稳”：视频0.88–0.96 s可见腾空团身，视频约1.04–1.08 s落回床面，随后缓冲并恢复直立，现场裁判在终止时确认全部3个验收阶段通过，节点于视频约4.84 s达到，最终1/1。未见失败；无状态日志，无法由画面独立精确测量团身持续时间、质心高度和站稳速度等阈值，完整验收依据log step 95的现场服务成功结果；评分器未报告两项原生指标数值，均保留null。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "节点“团身跳后落稳”在视频约4.84 s达到、最终1/1、无失败层，与帧、现场服务成功结果和评分器字段一致；未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-30T23:59:23Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--hhstbpp/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--hhstbpp/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e202ba9419bb214ba8d6169cf1b66e090574dda8a5cf428405bd13c84d00d938",
+   "video_sha256": "752017ae3fcccb22ce70810db385428b4fee9dae87d8625776c15182ba736da5",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--nlzf9by.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--nlzf9by.json
new file mode 100644
index 0000000000000000000000000000000000000000..168ed97deb4f364f5555061391c91ef49fcaac8d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--nlzf9by.json
@@ -0,0 +1,192 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-standard--nlzf9by",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 168,
+   "sim_steps": 1295,
+   "calls": 267,
+   "rows": 1295,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 6294.9,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.893,
+   "peak_processes": 12,
+   "peak_disk_gb": 2.526,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-standard--nlzf9by/replay.mp4",
+  "duration_s": 1.72,
+  "fps": 25.0,
+  "frames": 43,
+  "sha256": "e47cf0f39ab95acb8d22481ef206836e06b3dfd800f58457e356c769929f977e"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.32,
+      "log_step": null,
+      "text_zh": "观察：视频 0.60–0.88 s 机器人屈腿下蹲，视频 1.20–1.40 s 双脚离开黑色床面、双腿收屈，随后下降；这仅是复合跳跃步骤的部分过程。"
+     },
+     {
+      "t": 1.68,
+      "log_step": 163,
+      "text_zh": "观察：视频 1.48–1.56 s 机器人双脚回到床面附近，躯干已明显倾斜；视频 1.60–1.68 s 身体继续倒低，末帧接近横卧，未出现落地后连续三秒站稳。log step 163 的最后一局服务结果为 episode=6、stages_reached=2、stages_total=3、done=true、reason=failed，outcome 为非脚部触床；log step 164 再次读取服务得到同一判负原因。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.92 s 双脚承重并蹬压黑色蹦床床面，随后腾空；视频 1.48–1.56 s 双脚回落床面，视频 1.60–1.68 s 身体倒向床面，最终增加非脚部触床（log step 163、164 的服务判决确认），未恢复脚部站立支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "tuck_jump_landed_stopped",
+   "t": 1.52,
+   "log_step": 163,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.48–1.56 s 机器人在回落时躯干大幅倾斜，视频 1.60–1.68 s 持续倒下且未恢复站立。log step 163 显示最后一次 reset 进入 episode=6，服务在 control_steps=168、sim_time_s=1.68 时以非脚部触床判负，仅通过团身和落地两阶段；该局与本视频末尾一致，断点为团身跳后落稳步骤。"
+  },
+  "unmet": {
+   "tuck_jump_landed_stopped": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.52,
+    "log_step": 163,
+    "evidence_zh": "观察：视频 1.48–1.68 s 机器人落床过程中躯干逐渐接近水平，无法保持脚部支承下的站姿，最后身体倒在黑色床面上；log step 163、164 的服务 outcome 均为 on the bed with a part other than the feet。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 163,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：落地姿态与承接控制未能抑制倾倒。log step 162 的控制脚本已加入腰部伸展、踝部补偿及双臂前摆以调节落地姿态，log step 163 在沿用该脚本的最后一局调低起跳并设置收腿展开时序；但视频 1.40–1.68 s 显示机器人下降及触床时倾斜持续增大，未恢复直立。服务确认团身、落地阶段通过而站稳失败，支持运动控制层面的归因；无法据此确定具体增益、力矩或状态估计误差。"
+   }
+  ],
+  "gap_zh": "无逐帧状态日志，场地相机中机器人较小，不能精确量测团身角度、质心高度和最先触床的非脚部位；团身与双脚落地通过由最后一局服务阶段结果辅助确认。inputs/run.json 的若干工具输出本身已截断，两项 DAG 原生指标在 reward 中均未报告，故 value 为 null；agent 在 log step 168 所称离线模型能量差异及速度积分偏差缺乏独立验证，根因保留在控制大类。"
+ },
+ "summary_zh": "评分对象为 log step 163 最后一次重置后的第 6 局：机器人完成了腾空屈腿和落地两阶段，但视频 1.48–1.68 s 持续倾倒并以非脚部触床结束，因此“团身跳后落稳”始终未完成，最终 0/1。失败现象为平衡，日志中的落地补偿措施与画面支持控制层面的归因。无状态日志且原生指标未报告，无法独立确认具体控制误差。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点任务：视频 0–1.72 s 与标签一致（腾空团身、回落后向前倒下，非脚部触床），log step 163/164 的服务读数（episode 6、control_steps=168、sim_time 1.68 s、非脚部触床）支持判负；节点 false、断点、平衡现象与控制根因均有证据支持，未发现需要修改之处。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:14:11Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--nlzf9by/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--nlzf9by/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c4d97956bd872cc3638374cd351d3c72e3bb9df318aa929978efeafe6d4eabb8",
+   "video_sha256": "e47cf0f39ab95acb8d22481ef206836e06b3dfd800f58457e356c769929f977e",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--pbngtn5.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--pbngtn5.json
new file mode 100644
index 0000000000000000000000000000000000000000..44959a1c7e966283ddc9085e556189ddeea249a1
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--pbngtn5.json
@@ -0,0 +1,177 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-standard--pbngtn5",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "live_success": 1,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 628,
+   "sim_steps": 1243,
+   "calls": 807,
+   "rows": 1141,
+   "resets": 2,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 934.3,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.312,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.847,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-standard--pbngtn5/replay.mp4",
+  "duration_s": 6.32,
+  "fps": 25.0,
+  "frames": 158,
+  "sha256": "1bf03fcf370249147906e14e74cdbc9ef45ec5d99e7ffc60169e61e543e6b677"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.28,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 53,
+      "text_zh": "观察：log step 53 中 agent 的脚本重置后启动第3次尝试；log step 54 的服务状态为 episode=3。log step 69 的同一局服务终态为 done=true、reason=success、outcome=success、stages_reached=3、stages_total=3；评分记录 live_success=1、graded_by_live=1，前两局失败不属于本视频的评分片段。"
+     },
+     {
+      "t": 2.04,
+      "log_step": null,
+      "text_zh": "观察：视频全程按约0.2秒间隔检查，并逐帧检查视频1.68–3.36 s；机器人在床面中部伸腿起跳，视频1.88–2.12 s 可见离床、屈髋屈膝团身及随后伸腿回落，视频2.16–2.40 s 双脚重新支撑在黑色床面上。"
+     },
+     {
+      "t": 2.76,
+      "log_step": 62,
+      "text_zh": "观察：视频2.48–2.72 s 机器人在首次落地后再次弹起，双腿比团身时伸展；视频2.76–2.96 s 回到床面并屈膝缓冲，随后视频3.32–6.28 s 保持躯干基本直立、脚部支撑的站姿。已逐帧检查视频5.28–6.28 s，未见再次腾空或倒下。"
+     },
+     {
+      "t": 6.28,
+      "log_step": 69,
+      "text_zh": "推断：完成时刻由本评分局的服务计步定位；log step 7 报告 control_dt=0.01 s，log step 69 的 episode=3、control_steps=628 对应视频628×0.01=6.28 s。已用 log step 62 所记仿真2.74 s 的落床接触与视频2.72–2.80 s 的回落核对，且视频最后一帧6.28 s 仍为站姿，故在视频6.28 s 记复合节点完成，而不是在首次落地时提前记完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0–1.84 s 机器人左右脚在黑色红线蹦床床面上承重并蹬床；团身腾空时脚部离床，视频约2.16 s 落回床面，追加一次弹跳后视频约2.76 s 再次以脚部承接落地，继而屈膝吸收回弹并站稳至视频6.28 s。接触执行端是双脚，手臂未参与床面支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "最终评分的是第3次尝试：机器人完成团身跳、脚部落地及一次收尾弹跳，随后消除回弹并保持直立站姿，唯一节点在视频约6.28 s 完成（1/1）。服务在 log step 69 返回成功且三阶段全达，与视频终态相符，因此无失败断点。无状态日志，无法由画面独立精测团身持续窗口、质心高度和站稳速度等阈值；这些验收依照服务成功判决，两项原生指标未在评分记录中报告。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一节点在视频6.28 s 完成，与服务终态（log step 69：done=true、success、3/3阶段、control_steps=628，control_dt=0.01）及视频末帧站姿一致；成功运行无失败断点，contact_actual（双脚支撑）合理，时钟换算有可见事件核对。未发现需要修改的错误。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:05:23Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
+    "stage": "traj",
+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--pbngtn5/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--pbngtn5/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "4e9fa8522e5dbfe486adfce1a44d3a17435b703177e4a7d72dda22b397ff3fe6",
+   "video_sha256": "1bf03fcf370249147906e14e74cdbc9ef45ec5d99e7ffc60169e61e543e6b677",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--svyzzdr.json b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--svyzzdr.json
new file mode 100644
index 0000000000000000000000000000000000000000..f95914b2cff9f6ccd9e706423b374fddf83d3ed5
--- /dev/null
+++ b/phase2/embodied-olympics-fun/trampoline/trajectories/embodied-olympics-fun-trampoline-i00-standard--svyzzdr.json
@@ -0,0 +1,198 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-trampoline-i00-standard--svyzzdr",
+ "taskKey": "embodied-olympics-fun/trampoline",
+ "dag_sha256": "467e0daf3fcc1ae10c9a68b89f8f4ac3308e5963dcf682523cd06fef86f93cf3",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "live_success": 0,
+   "graded_by_live": 1,
+   "replays": 0,
+   "live_rule": 1,
+   "live_verdict_error": 0,
+   "finalized": 1,
+   "missing_log": 0,
+   "infra_error": 0,
+   "grader_error": 0,
+   "sim_error": 0,
+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 215,
+   "sim_steps": 1517,
+   "calls": 321,
+   "rows": 1517,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1986.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 3,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.213,
+   "peak_processes": 11,
+   "peak_disk_gb": 1.251,
+   "resource_emergency_kills": 0,
+   "resource_oom_kills": 0,
+   "resource_host_oom_kills": 0,
+   "resource_service_oom_kills": 0
+  }
+ },
+ "video": {
+  "kind": "hf",
+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-trampoline-i00-standard--svyzzdr/replay.mp4",
+  "duration_s": 2.16,
+  "fps": 25.0,
+  "frames": 54,
+  "sha256": "3a315ffb7699e0e2efba63ad1b366c5f80b23ff89e06036556ff9733e3463a19"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "tuck_jump_landed_stopped": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.24,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–0.68 s机器人双脚站在黑色红线床面，视频0.72–1.08 s屈腿蹬床，视频1.12–1.44 s双脚离床且双腿屈髋屈膝，随后伸腿回落。"
+     },
+     {
+      "t": 1.76,
+      "log_step": 173,
+      "text_zh": "观察：视频1.60–1.72 s机器人脚部回到床面，视频1.76–2.12 s躯干持续向前倾倒，末帧倒伏在床面；没有出现落地后连续站稳三秒的过程。"
+     },
+     {
+      "t": 2.12,
+      "log_step": 181,
+      "text_zh": "观察：log step 181中现场服务返回episode=6、control_steps=215、done=True、reason=failed、stages_reached=2、stages_total=3，具体判负为“on the bed with a part other than the feet”；对应本次录像末段倒伏。服务的两个阶段通过不等于DAG中包含站稳验收的完整节点完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–1.08 s机器人双脚由床面支撑并蹬床，视频1.12–1.44 s腾空无外部支撑，视频约1.60 s脚部重新接触床面；随后前倾倒伏。log step 181确认最终发生非脚部触床，画面不足以确定最先触床的非脚部位。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "tuck_jump_air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "tuck_jump_com_rise_m",
+   "unit": "m",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "tuck_jump_landed_stopped",
+   "t": 1.76,
+   "log_step": 173,
+   "where": "操作中",
+   "evidence_zh": "观察：视频1.60–1.72 s机器人回到床面后，视频1.76 s起前倾加重，至视频2.12 s倒伏，未恢复站稳；log step 181的第六次现场尝试终态为2/3阶段、非脚部触床判负。失败发生在团身跳的落地稳定过程中。"
+  },
+  "unmet": {
+   "tuck_jump_landed_stopped": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.76,
+    "log_step": 181,
+    "evidence_zh": "观察：视频1.76–2.12 s机器人在落床后持续前倾，躯干由倾斜变为近水平并倒伏在黑色床面，双脚未能保持直立支撑；log step 181现场裁判确认非脚部触床。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 1.76,
+    "log_step": 173,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 173显示agent的控制脚本已执行团身、伸腿、落地缓冲与恢复阶段，配置包含姿态和质心偏移反馈及hip_land落地修正；然而视频1.60–2.12 s机器人落床后前倾不断增大并倒伏，说明该控制未能完成落地后的姿态稳定。log step 175才加入新的落地几何反馈，log step 179因重置额度耗尽未能开始新尝试，故该修正没有修复评分录像中的失稳。现有证据不足以将原因进一步限定为接触布局、轨迹、反馈律或某个参数。"
+   }
+  ],
+  "gap_zh": "无仿真状态日志，无法独立核验团身角度持续窗口、质心升高、双脚接触同步及最先触床的非脚部位；run.json的评分器字段未报告DAG的两项原生指标，均保留null。log step 173的质心偏移为agent基于自建模型的估计，未将其数值或agent自述冲击力矩视为已验证的物理事实；控制根因保留在大类。"
+ },
+ "summary_zh": "本次评分对应第六次现场尝试：机器人完成可见的腾空屈腿和脚部回床，但没有落地站稳，完整节点最终0/1。视频约1.76 s起机器人持续前倾，至视频2.12 s倒伏，现场服务确认非脚部触床且只通过2/3阶段；现象为全身平衡失败，根因推断为落地稳定控制不足。无状态日志及原生指标实测值，无法进一步核实具体接触时序或控制子因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频、log一致：第六次现场尝试腾空屈腿后落床前倾倒伏，服务判负2/3阶段、非脚部触床；节点未完成、断点、平衡现象与控制根因（保持大类）均有证据支持。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
+  "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
+  "engine": "codex",
+  "model": "gpt-6.1-sol",
+  "effort": "high",
+  "created": "2026-10-31T00:03:44Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
+  "reconcile_prompt": "prompts/05_reconcile.md",
+  "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
+  "calls": [
+   {
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+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--svyzzdr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-trampoline-i00-standard--svyzzdr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "dcc2319488aa0416c9e6fd9b7a2483447194ef1bf9addf42dc71b09a363e0e96",
+   "video_sha256": "3a315ffb7699e0e2efba63ad1b366c5f80b23ff89e06036556ff9733e3463a19",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}