diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--26tx94n.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--26tx94n.json
new file mode 100644
index 0000000000000000000000000000000000000000..d3ac5c1d3a137f85095ecff6b45a2b6df0b99ac3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--26tx94n.json
@@ -0,0 +1,186 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-privileged--26tx94n",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 2000,
+   "sim_steps": 413,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 3.42,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.429,
+   "metric_turn_deg": 315.3,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 18,
+   "agent_resets": 20,
+   "agent_replays": 13,
+   "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": 4.427,
+   "peak_processes": 29,
+   "peak_disk_gb": 1.0,
+   "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-backflip-i00-privileged--26tx94n/replay.mp4",
+  "duration_s": 4.16,
+  "fps": 25.0,
+  "frames": 104,
+  "sha256": "eb4173e821cf560d79cd695ff94dc1e2fd059d134325d05d7937dfb75f9baa43"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.12,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.64,
+      "log_step": null,
+      "text_zh": "观察：视频 0.32–0.64 s，机器人在蓝色场地上屈腿准备后伸腿、摆臂；视频 0.64 s 脚仍支撑地面，开局站立本身尚未完成后空翻节点。"
+     },
+     {
+      "t": 0.84,
+      "log_step": null,
+      "text_zh": "观察：视频 0.72–1.04 s，机器人全身离地，收腿并向后翻转；视频 0.80–0.88 s 可见头在下、脚翻到上方，随后身体继续后转并展开准备落地。"
+     },
+     {
+      "t": 1.08,
+      "log_step": null,
+      "text_zh": "观察：视频 1.04 s 机器人脚接近地面，视频 1.08–1.12 s 可见脚先承重、双膝屈曲缓冲，双手在身体上方；视频 1.16–2.12 s 机器人通过小幅踏步与身体调整恢复直立，未见手、膝或躯干撑地。"
+     },
+     {
+      "t": 4.12,
+      "log_step": null,
+      "text_zh": "观察：视频 2.16–4.12 s 机器人保持基本直立、脚支撑地面；逐帧检查视频 3.04–4.12 s，直至末帧仍站立。inputs/run.json 的评分器 reward 记录 success=1、replay_success=1、deterministic=1、stages_reached=4/4、fell=0，metric_turn_deg=315.3、metric_air_s=0.429。"
+     },
+     {
+      "t": 4.12,
+      "log_step": 321,
+      "text_zh": "观察：log step 321 中，agent 脚本重新生成最终交付的 2000 行轨迹并核对一致；官方回放器执行 413 行后报告 success=true，四阶段 take-off、full turn、landing、stand 全部完成，转角 315.3°、腾空 0.429 s。log step 329 记录三次新进程回放均成功且终态哈希一致；这些结果与本次评分器字段和视频动作一致。"
+     },
+     {
+      "t": 4.12,
+      "log_step": null,
+      "text_zh": "推断：结合评分器成功和视频末帧站立，将包含合法后翻、脚先落地及连续站稳验收的整个节点标为视频末尾约 4.12 s 完成，时间为末帧导航锚点，非独立测得的精确验收采样时刻；没有状态日志，25 fps 录像无法逐采样核验累计转角、速度及连续 200 次站立条件，数值边界依评分器结果确认。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.40–0.68 s 机器人以脚对蓝色场地地面的支撑发力起跳；视频 0.72–1.04 s 全身腾空，随后视频约 1.08 s 起脚接地承重并屈腿缓冲，调整后继续用脚支撑站立至视频 4.12 s。未见手、膝或躯干撑地；双臂摆动协调，未见其接触场地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": 315.3
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": 0.429
+  }
+ ],
+ "failure": null,
+ "summary_zh": "本次交付轨迹完成唯一节点“后空翻并落地站稳”：机器人从脚支撑起跳、空中后翻、脚先落地，调整后站立至视频 4.12 s 末帧，评分器确认四阶段全部完成且回放一致。评分器记录空中后转 315.3°、腾空 0.429 s，未摔倒，无失败断点。缺少状态日志，具体数值边界及连续站稳采样依评分器确认，节点完成时间取视频末尾约 4.12 s；oracle 元数据所指 runId 与本次相同，没有独立参考视频。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "节点完成、末帧站立、评分器 success=1/fell=0、无断点，标注与视频和评分器字段一致；时间取末帧锚点并已说明为推断。",
+    "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": "2026-10-31T00:32:47Z",
+  "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-backflip-i00-privileged--26tx94n/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--26tx94n/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e65d5f838874d4360acf308fb8b4e7eab20bd3a59ebea84cecd2aef14765acf6",
+   "video_sha256": "eb4173e821cf560d79cd695ff94dc1e2fd059d134325d05d7937dfb75f9baa43",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--btmnxme.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--btmnxme.json
new file mode 100644
index 0000000000000000000000000000000000000000..8b4508ca536bcd567c13a944845613b6336beda5
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--btmnxme.json
@@ -0,0 +1,181 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-privileged--btmnxme",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 368,
+   "sim_steps": 368,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 5.06,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.682,
+   "metric_turn_deg": 313.8,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 10,
+   "agent_resets": 25,
+   "agent_replays": 4,
+   "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": 0.738,
+   "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-backflip-i00-privileged--btmnxme/replay.mp4",
+  "duration_s": 3.72,
+  "fps": 25.0,
+  "frames": 93,
+  "sha256": "38b61a8954a2a4c9f12e0b732dd8a0e5f9fea1551089decadb2625e334f94fdb"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.68,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.48,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–0.48 s，机器人先以双脚站在蓝色场地上，屈膝下蹲后伸腿、摆臂起跳；开局站立尚未完成后空翻。"
+     },
+     {
+      "t": 0.84,
+      "log_step": null,
+      "text_zh": "观察：视频0.52–1.08 s的逐帧画面显示机器人全身离地，头向后运动、屈髋收腿，翻过头低脚高的倒立姿态后展开双腿；机器人在这一连续腾空中完成后翻。"
+     },
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：视频1.08 s机器人双脚仍在地面上方，视频1.12–1.16 s脚部先接近并接触地面承重；视频1.20–1.52 s机器人调整身体恢复直立，未见手、膝或躯干撑地。"
+     },
+     {
+      "t": 3.68,
+      "log_step": null,
+      "text_zh": "观察：视频1.68–3.68 s机器人保持双脚支撑、躯干接近直立且位置基本不变；视频2.72–3.68 s逐帧检查直至最后一帧，未见摔倒。inputs/run.json评分器字段为success=1、replay_success=1、stages_reached=4/4、fell=0、metric_turn_deg=313.8、metric_air_s=0.682。"
+     },
+     {
+      "t": 3.68,
+      "log_step": null,
+      "text_zh": "推断：视频中的后翻、脚先落地及末段站稳与评分器成功结果一致，据此判定包含连续站稳验收的完整节点达成；首次达成时间近似记在视频末帧3.68 s，未将视频约1.16 s的落地提前算作完成。没有状态日志，25帧/秒画面不能独立核验逐控制采样的接触、角度、骨盆速度及200次站稳计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–0.48 s机器人双脚在蓝色场地上支撑并蹬地起跳；视频0.52–1.08 s腾空；视频约1.12–1.16 s脚先触地，随后双脚承重站稳至视频3.68 s。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": 313.8
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": 0.682
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人从双脚支撑起跳，在空中完成后翻，双脚先落地并恢复直立，持续站稳至视频3.68 s，完成「后空翻并落地站稳」节点（1/1），无失败断点。评分器确认四个原生阶段全部通过，后转角313.8°、腾空0.682秒；无状态日志，完整验收时刻近似记在视频末帧，精确接触采样、速度与连续站稳计数依评分器结果确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "视频0–3.68 s显示起跳、空中后翻、脚先落地并直立站稳，与评分器success=1、fell=0一致；节点时间、contact_actual与无失败断点均成立。",
+    "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": "2026-10-31T00:37:29Z",
+  "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-backflip-i00-privileged--btmnxme/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--btmnxme/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "735b4f0fe1d4e6eddacf3a19b88a5fa45f05eec955506518b6a68d14dd74fefd",
+   "video_sha256": "38b61a8954a2a4c9f12e0b732dd8a0e5f9fea1551089decadb2625e334f94fdb",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--l6om7hm.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--l6om7hm.json
new file mode 100644
index 0000000000000000000000000000000000000000..68ffcb815fdf175d01b67e57035fe3e0b0139eed
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--l6om7hm.json
@@ -0,0 +1,181 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-privileged--l6om7hm",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 352,
+   "sim_steps": 352,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 4.37,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.436,
+   "metric_turn_deg": 304.2,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 164,
+   "agent_resets": 26253,
+   "agent_replays": 5,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 3.289,
+   "peak_processes": 22,
+   "peak_disk_gb": 0.845,
+   "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-backflip-i00-privileged--l6om7hm/replay.mp4",
+  "duration_s": 3.56,
+  "fps": 25.0,
+  "frames": 89,
+  "sha256": "f2bcf858a5a557aa4759a1a984e746d5cdc85684204874b04bc7713415719799"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.52,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查本次视频 0.00–0.56 s，机器人在蓝色场地上由站立转为双腿屈曲，再伸腿发力；起跳前可见脚部承重，双手未撑地。开局站立尚未完成后空翻，不计为节点已达。"
+     },
+     {
+      "t": 0.76,
+      "log_step": null,
+      "text_zh": "观察：本次视频 0.64–0.96 s，机器人双脚离地、身体与地面分离；连续帧中机器人收腿向后翻，视频 0.76–0.84 s 可见脚高于头的倒立翻转姿态，随后展开双腿。"
+     },
+     {
+      "t": 1.04,
+      "log_step": null,
+      "text_zh": "观察：本次视频 0.96 s 机器人仍在空中，视频 1.00–1.04 s 脚部先到达蓝色地面并开始承重；随后机器人屈膝缓冲、直起躯干。视频 1.04–1.52 s 未见手、膝或躯干撑地。"
+     },
+     {
+      "t": 3.52,
+      "log_step": 163,
+      "text_zh": "推断：log step 163 的最终封装输出与 log step 167 的逐行一致复现均对应交付的352行轨迹，裁判记录控制步352完成stand并成功；每控制步0.01秒，故对应视频约3.52 s。已用裁判仿真1.008 s落地事件与视频1.00–1.04 s脚先承重核对时钟，且视频末帧为3.52 s；因此完整后翻及连续站稳验收的节点从视频约3.52 s成立，不能提前在刚落地时记完成。"
+     },
+     {
+      "t": 3.52,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查本次视频 1.52–3.52 s，机器人保持脚部支撑、躯干接近竖直，末段基本停稳；包括视频最后一秒在内均未见倒地。inputs/run.json评分器字段success=1、replay_success=1、deterministic=1、stages_reached=4/4、fell=0，metric_turn_deg=304.2、metric_air_s=0.436，与可见动作一致，支持终态完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：本次视频 0.00–0.56 s 机器人双脚接触蓝色场地承重并起跳发力；视频 0.64–0.96 s 腾空，与地面分离；视频约1.00 s起脚部落地承重，之后双脚支撑直至视频3.52 s末帧。双臂摆动协调，未见手部撑地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": 304.2
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": 0.436
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成「后空翻并落地站稳」节点，终态为1/1：视频约0.64–0.96 s可见腾空后翻，视频约1.00 s脚先落地，随后恢复直立并保持至视频3.52 s验收完成。评分器确认后转304.2°、腾空0.436秒、四阶段全部通过且确定性回放成功，无失败断点。缺少状态日志，无法仅凭25帧/秒录像独立复核毫秒接触及姿态、速度的精确数值边界；完成时刻结合交付轨迹控制步记录与视频事件核对确定。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点后空翻落地站稳：视频约0.6–1.0 s腾空后翻、脚先落地，之后直立站稳至末帧；评分器字段success=1、fell=0支持，3.52 s完成时刻按控制步352×0.01换算并有落地事件核对，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": "2026-10-31T00:40:12Z",
+  "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-backflip-i00-privileged--l6om7hm/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--l6om7hm/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "20bfbd9defceaef491a82da91e84d4a25dc9e41b1993e63167ce51c114b9eadf",
+   "video_sha256": "f2bcf858a5a557aa4759a1a984e746d5cdc85684204874b04bc7713415719799",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--njqpcrg.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--njqpcrg.json
new file mode 100644
index 0000000000000000000000000000000000000000..5177f9f0d8907ab3cb958dab80a314d6ebf5f7e1
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--njqpcrg.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-privileged--njqpcrg",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "outcome": {
+  "success": 0,
+  "reward": 0.75,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 115,
+   "sim_steps": 115,
+   "horizon": 2000,
+   "episode_over": 0,
+   "progress": 0.75,
+   "stages_reached": 3,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 2.57,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.59,
+   "metric_turn_deg": 310.9,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 6992,
+   "agent_resets": 77,
+   "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": 107.948,
+   "peak_processes": 17,
+   "peak_disk_gb": 0.298,
+   "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": 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-backflip-i00-privileged--njqpcrg/replay.mp4",
+  "duration_s": 1.16,
+  "fps": 25.0,
+  "frames": 29,
+  "sha256": "503d4c80c10bd8e4fd12b2bc5aa7963c1bbbd91c2007493743ca6e363713e12b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.4,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 0.00–1.12 s；机器人先双脚站立并下蹲，在视频约 0.36–0.40 s 离地，随后收腿向后翻过倒立位置。开局站立没有后翻历史，不满足本节点。"
+     },
+     {
+      "t": 0.92,
+      "log_step": 1069,
+      "text_zh": "观察：视频 0.88 s 双脚仍在地面上方，视频约 0.92 s 双脚先落地，随后躯干前倾、双臂向前伸出；手、膝和躯干未见撑地。log step 1069 对交付文件的回放报告 stages=[take-off, full turn, landing]、turn_deg=310.9、air_s=0.59，与评分器同名指标及可见动作相符。"
+     },
+     {
+      "t": 1.08,
+      "log_step": 1069,
+      "text_zh": "观察：视频 0.96–1.12 s 机器人落地后躯干逐渐抬起，骨盆仍明显在脚后，末段向后倾；交付视频随即结束，没有连续站稳 2.0 秒的片段。log step 1069 回放交付文件仅执行 115 个控制步，success=false、done=false、failed=null、episode_over=false；评分器同样记录 stages_reached=3/4、fell=0。推断：完整的“后空翻并落地站稳”从未完成，原生三阶段进度不等于这个合并节点已达到。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–约 0.36 s 机器人双脚支承蓝色场地，屈腿后蹬地起跳；腾空期间脚离地，视频约 0.92 s 起双脚先接触场地并承重，末段脚掌抬起、主要在脚跟附近支承。双臂摆动与前伸，未见手臂触地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "value": 310.9,
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "air_s",
+   "value": 0.59,
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 1.08,
+   "log_step": 1069,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 0.92 s 机器人脚先落地；视频 1.04–1.12 s 双脚留在前方、骨盆后移，机器人以脚跟附近为支点向后倾，交付轨迹在落地恢复过程中结束。log step 1069 对该文件的回放与评分器均只有起跳、完整转体和落地三阶段，尚无站稳成功；该连续后翻动作未被修复完成。"
+  },
+  "unmet": {
+   "backflip_landed_stable": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.08,
+    "log_step": null,
+    "evidence_zh": "观察：视频 0.96–1.12 s 机器人落地后双脚基本留在前方，骨盆持续退到脚后，脚掌翘起、围绕脚跟附近后仰；视频 1.08–1.12 s 躯干抬起时整个人继续向后转动。推断：这是落地后的后向失衡，未形成稳定站姿；交付片段中尚未出现倒地。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "log_step": 1075,
+    "evidence_zh": "观察：log step 1026 的交付生成脚本用固定的关节目标与分段增益控制落地，仅运行 22 个落地后控制步即保存；log step 1069 已验证该文件为 115 步、三阶段、尚未成功。log step 1075 使用同一组起跳、收腿和落地控制参数做延长测试，站立计数仅短暂从 1 增至 3，接着归零；log step 1088 的同参数测试中躯干由前倾经过直立后继续后转。推断：落地控制未能制止后向俯仰并维持承重平衡，解释了交付末段的后倾与未站稳；延长测试只作为控制根因证据，不计作交付片段内的后续运动。具体是轨迹、增益还是反馈律不足，证据不足以细分。"
+   }
+  ],
+  "gap_zh": "无模拟器状态日志，25 帧/秒录像不能精确确定瞬时接触及姿态、速度阈值。交付视频仅 1.16 秒、最后可见帧为视频 1.12 s，落地后的完整站稳窗口未交付；末段可见后倾失衡，但没有看到倒地，且评分器 fell=0。log step 1075、1088 的延长测试属于会话诊断，不能把其中超出交付长度的运动补入本次轨迹；控制根因子类保持未细分。"
+ },
+ "summary_zh": "机器人完成脚支撑起跳、空中后翻和脚先落地，评分器记录转角 310.9°、腾空 0.59 秒及原生阶段 3/4，但合并节点“后空翻并落地站稳”最终为 0/1。视频约 0.92 s 落地后机器人向后倾，落地控制没有建立持续稳定站姿，交付文件仅含 115 个控制步，未完成站稳验收。无状态日志，交付末段尚未倒地；会话延长测试仅用于支持控制根因，不作为本次轨迹的后续进度或摔倒证据。",
+ "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）、0.4 s 起跳、0.92 s 脚先落地、末段后倾，均与视频及 log step 1069 回放（3/4 阶段、310.9°、0.59 s、115 步）相符；断点、平衡现象和控制根因有证据支持，未见需改动之处。",
+    "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": "2026-10-31T00:34:23Z",
+  "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-backflip-i00-privileged--njqpcrg/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--njqpcrg/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f5476814692387cb0dc50623a200a7f38c9a5dbd5f202c1c5a30caacfbeab3ff",
+   "video_sha256": "503d4c80c10bd8e4fd12b2bc5aa7963c1bbbd91c2007493743ca6e363713e12b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--o3j4nwb.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--o3j4nwb.json
new file mode 100644
index 0000000000000000000000000000000000000000..770392e04d860f068a436ff6e7fc54403d304731
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--o3j4nwb.json
@@ -0,0 +1,179 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-privileged--o3j4nwb",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 2000,
+   "sim_steps": 477,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 3.7,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.917,
+   "metric_turn_deg": 330.2,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 125,
+   "agent_resets": 16780,
+   "agent_replays": 9,
+   "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-backflip-i00-privileged--o3j4nwb/replay.mp4",
+  "duration_s": 4.8,
+  "fps": 25.0,
+  "frames": 120,
+  "sha256": "6410c317d20d7bb748f1fcab5e338a4b4490efdd6224bcfa2e75e7f93fe67e67"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.76,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.68,
+      "log_step": null,
+      "text_zh": "观察：视频0.56–0.68 s，机器人从深蹲伸腿、上摆双臂，双脚为地面支撑；视频0.72 s身体已与蓝色地面分离，视频0.80–1.28 s头向后、脚向前翻过倒立位置。"
+     },
+     {
+      "t": 1.6,
+      "log_step": null,
+      "text_zh": "观察：视频1.52 s机器人仍在空中，视频1.56–1.60 s双脚首先落到蓝色地面，随后屈膝缓冲；视频1.68–1.72 s深蹲时未见手、膝或躯干撑地，视频1.84–2.32 s又有回弹和姿态调整，不能在首次落脚时就计作完成站稳验收。"
+     },
+     {
+      "t": 4.76,
+      "log_step": null,
+      "text_zh": "观察：视频2.72–4.76 s机器人已直身，以脚承重，位置变化很小；逐帧检查视频3.76–4.76 s，末尾仍直立，未见倒地。inputs/run.json的reward记录success=1、replay_success=1、deterministic=1、stages_reached=4/4、fell=0，原生指标metric_turn_deg=330.2、metric_air_s=0.917。"
+     },
+     {
+      "t": 4.76,
+      "log_step": 87,
+      "text_zh": "观察：log step 77将选定参数生成最终trajectory.npz并回放成功；log step 87重新生成的文件逐字节一致，对此文件的两次独立验证回放均输出success且终态哈希相同，指标为后转330.2°、腾空0.917秒。后续log step 88–93是额外扰动搜索与说明更新，未见替换已验证的交付轨迹。"
+     },
+     {
+      "t": 4.76,
+      "log_step": null,
+      "text_zh": "推断：视频中的完整后翻、脚先落地和末尾持续站立与本次评分器四阶段成功一致，节点最终成立；将视频4.76 s末帧作为完成时间的近似锚点，误差约0.2秒。录像没有裁判连续站稳计数或骨盆速度，不能从画面独立精确定位200次采样验收的首个时刻；该数值验收由本次评分器成功结果支持，未把首次落地或开局站立当作节点完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚在视频0.56–0.68 s抵住蓝色地面起跳发力，视频0.72–1.52 s后翻腾空，视频1.56–1.60 s脚先落地承重，随后以双脚支撑恢复直立并站稳；未见双手撑地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": 330.2
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": 0.917
+  }
+ ],
+ "failure": null,
+ "summary_zh": "本次评分轨迹完成唯一节点“后空翻并落地站稳”：视频约0.72 s离地后翻、约1.56–1.60 s脚先落地，经回弹调整后直立至视频4.76 s末帧，最终进度1/1。评分器记录后转330.2°、腾空0.917秒、四阶段全部通过且未摔倒，最终文件在log step 87的两次验证回放均成功且终态一致。缺少状态日志和逐帧裁判计数，速度、倾角和连续站稳窗口由成功判定支持，节点完成时间以视频末帧近似标注。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点成功轨迹：视频0.6–1.3 s起跳后翻、1.56 s脚先落地、1.7 s深蹲、2.4–4.76 s直立，与评分器success=1、四阶段4/4、fell=0一致；节点值、时间锚点、contact_actual（腿/躯干 支撑）和无失败层均成立。",
+    "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": "2026-10-31T00:32:23Z",
+  "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-backflip-i00-privileged--o3j4nwb/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--o3j4nwb/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "4501bed864a98761237c0e013e41f4028950bfe15c885d8734929f76cdbc2167",
+   "video_sha256": "6410c317d20d7bb748f1fcab5e338a4b4490efdd6224bcfa2e75e7f93fe67e67",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--prucqee.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--prucqee.json
new file mode 100644
index 0000000000000000000000000000000000000000..6e06d0df0e63a46b680e4d76943a02a2d566cfa4
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--prucqee.json
@@ -0,0 +1,228 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-privileged--prucqee",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "outcome": {
+  "success": 0,
+  "reward": 0.25,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 432,
+   "sim_steps": 52,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 0.25,
+   "stages_reached": 1,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 2.64,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.271,
+   "metric_turn_deg": -101.9,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 201,
+   "agent_resets": 7945,
+   "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": 3.07,
+   "peak_processes": 19,
+   "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-backflip-i00-privileged--prucqee/replay.mp4",
+  "duration_s": 0.56,
+  "fps": 25.0,
+  "frames": 14,
+  "sha256": "d0c47c93ac9ef36a4e15538fa7d3892465b117bc800f8250b21020501f7503b6"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.08 s，机器人双脚站在蓝色场地上，尚未执行空翻；初始站立不满足后空翻并落地站稳的完整条件。"
+     },
+     {
+      "t": 0.4,
+      "log_step": null,
+      "text_zh": "观察：逐帧查看视频 0.00–0.52 s 的全部14帧及末段裁剪图；机器人先屈腿、躯干前倾，再短暂离地，视频 0.36–0.52 s 头和躯干向前俯冲，手臂前伸，最终身体接近水平并贴近蓝色场地，未出现完整后翻和落地直身站稳。"
+     },
+     {
+      "t": 0.52,
+      "log_step": null,
+      "text_zh": "观察：inputs/run.json 的评分器字段为 stages_reached=1/4、metric_air_s=0.271、metric_turn_deg=-101.9、success=0、fell=0、deterministic=1；仅起跳阶段得到确认，负转角及视频中向前俯下的动作均不满足累计后转300°。"
+     },
+     {
+      "t": null,
+      "log_step": 183,
+      "text_zh": "观察：agent 在 log step 183 自述交付轨迹约后转100°且未成功；但这只是会话总结，评分器实际报告转角为−101.9°，视频也未显示后翻。节点按实际评分回放标为未完成，不采用该自述的旋转方向。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.28 s 机器人双脚接触蓝色场地并承重，随后短暂腾空；此条记录脚与地面的起跳支撑。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 0.44–0.52 s 机器人向前翻倒，手臂前伸，躯干及上肢贴近蓝色场地，末段并非稳定的脚支撑落地。推断：手臂或躯干可能触地；无状态接触日志，25帧/秒画面不能确认末段首次触地的部位及承重方式，故此段接触标未知。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": -101.9
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": 0.271
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 0.48,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.40–0.52 s，机器人在本次跳跃中向前俯冲并翻倒，身体最终接近水平、手臂前伸贴近地面；评分器记录腾空0.271秒、转角−101.9°且只到达起跳阶段，后空翻并落地站稳这一步未完成。"
+  },
+  "unmet": {
+   "backflip_landed_stable": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 0.48,
+    "log_step": null,
+    "evidence_zh": "观察：视频 0.36–0.52 s 机器人头和躯干向前俯冲，手臂向前伸出，最终身体接近水平并趴向蓝色场地，未维持脚支撑站姿，也未完成后翻；这是可见的向前翻倒。inputs/run.json 的评分器记录 metric_turn_deg=-101.9、fell=0；fell=0 是裁判记录，不能据此把画面中的翻倒改记为无失衡的跳跃不足，末段首次触地部位仍无法精确确认。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 158,
+    "evidence_zh": "推断：agent 的控制搜索评价在 log step 158 用 attempt=dict(turn=abs(t), ...) 将正负转角都计为正收益；log step 163 随后以自定义评价 max_turn_deg=100.0 保存432行轨迹，log step 176 再次生成同样行数的交付文件。实际评分器 metric_turn_deg=-101.9，与视频 0.40–0.52 s 的前俯动作一致，支持控制轨迹及转角评价实现不当；log step 173 将交付自述为“后转100°”并不能消除该符号错误。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "观察：本任务没有提供状态日志；已检查 inputs/ 中的完整日志、全部14帧评分视频及成功参考视频。25帧/秒画面不足以精确判断末段首次触地部位、关节力矩和角动量，不能将 agent 在 log step 183 自述的起跳角动量数值当作评分轨迹事实；自定义测试的阶段结果（log step 163 全部为假）也与实际评分器确认起跳不同，不能用于节点时间。控制根因保留在大类，不进一步指定反馈、逆解或某个参数。"
+ },
+ "summary_zh": "机器人进入起跳与短暂腾空，随后向前俯冲翻倒，没有完成后空翻并落地站稳，语义节点最终为0/1；评分器仅确认原生起跳阶段，腾空0.271秒、转角−101.9°、fell=0。断点在空翻操作中，现象为全身失衡，日志中的绝对值转角评价支持控制实现不当；agent 自述的“后转约100°”不符合实际评分回放。缺少状态日志，无法精确判定末段首次触地部位及力矩原因。",
+ "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0/1、断点 backflip_landed_stable、控制根因基本有据；但现象与接触读错：视频 0.40–0.52 s 机器人向前扑倒，躯干/手臂伸向前方、整体趴到场地上，不是“屈腿低姿态回落”，应记 全身·平衡 而非 步态，并补充手/躯干触地的 contact_actual。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点0/1、断点 backflip_landed_stable（操作中）、全身·平衡现象与控制根因均有帧和评分字段（turn=-101.9°、stages 1/4）支持；时钟均为视频时间，contact_actual 对末段如实标未知。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": "2026-10-31T00:48:24Z",
+  "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-backflip-i00-privileged--prucqee/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--prucqee/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--prucqee/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--prucqee/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9c4a1f38314cb40c3951bc120c384edfec88b757f4e9339a772c12d5a91c248a",
+   "video_sha256": "d0c47c93ac9ef36a4e15538fa7d3892465b117bc800f8250b21020501f7503b6",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--zgfqyyv.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--zgfqyyv.json
new file mode 100644
index 0000000000000000000000000000000000000000..f44746409cefd93abe5421242bd19d3f7978967f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-privileged--zgfqyyv.json
@@ -0,0 +1,186 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-privileged--zgfqyyv",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 900,
+   "sim_steps": 400,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 5.07,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.609,
+   "metric_turn_deg": 319.5,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 2,
+   "agent_resets": 5,
+   "agent_replays": 14,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 3.223,
+   "peak_processes": 23,
+   "peak_disk_gb": 0.009,
+   "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-backflip-i00-privileged--zgfqyyv/replay.mp4",
+  "duration_s": 4.04,
+  "fps": 25.0,
+  "frames": 101,
+  "sha256": "c6cdc0d1b6512aab31a3e99843b185af97c885d875d44fa2d0408023317a0d2d"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.0,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s 机器人双脚站在蓝色场地上，尚未完成后翻；视频 0.28–0.60 s 机器人屈膝下蹲、向后倾身并蹬地。开局站立不满足包含后翻历史和落地验收的完整节点。"
+     },
+     {
+      "t": 0.64,
+      "log_step": null,
+      "text_zh": "观察：视频 0.64–1.16 s 机器人身体与地面分离，头向后、双脚向前翻转；视频约 0.88–0.96 s 机器人经过头朝下的倒立姿态，随后展开身体使脚朝向地面。"
+     },
+     {
+      "t": 1.2,
+      "log_step": null,
+      "text_zh": "观察：视频 1.16 s 机器人双脚仍在地面上方，视频 1.20–1.32 s 可见脚先承重、双臂高举，手、膝和躯干均离地；视频 1.40–1.80 s 机器人屈膝缓冲并重新伸直身体。首次落地约在视频 1.20 s，按录像帧率估计。"
+     },
+     {
+      "t": 4.0,
+      "log_step": null,
+      "text_zh": "观察：视频约 2.00 s 起机器人恢复近直立，双脚支撑且身体基本停稳；逐帧检查视频 2.96–4.00 s，机器人保持该姿态至片尾，没有可见倒地或手、膝撑地。"
+     },
+     {
+      "t": null,
+      "log_step": 123,
+      "text_zh": "观察：log step 113 保存最终候选并回放，log step 119、123 再次核验同一交付轨迹，输出 success=True、四阶段 take-off/full turn/landing/stand 全部完成、两次回放终态哈希相同。inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=4/4、fell=0，metric_turn_deg=319.5、metric_air_s=0.609。"
+     },
+     {
+      "t": 4.0,
+      "log_step": 124,
+      "text_zh": "推断：log step 124 渲染最终交付轨迹，记录 executed_rows=400、success=true 和 101 帧，与本次视频一致；log step 36 的生成器控制间隔为 0.01 s，因此第 400 个控制步对应视频约 4.00 s。已用视频约 0.60–1.20 s 的腾空及视频 4.00 s 的直立终帧核对：前者与评分器记录的 0.609 s 腾空相符，后者与回放结束相符。完整节点需计入连续站稳验收，首次达成锚定视频约 4.00 s，非首次落脚时刻；数值阈值及连续采样通过由评分器成功结果确认。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.28–0.60 s 机器人双脚在蓝色场地上支撑蹬地；视频 0.64–1.16 s 腾空时与地面分离；视频约 1.20 s 双脚先落地承重，随后双脚支撑屈膝缓冲、起身并站立至视频 4.00 s。双臂摆动协调，未见手部撑地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "value": 319.5,
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "air_s",
+   "value": 0.609,
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：本次评分录像显示机器人从双脚支撑起跳、空中后翻经过倒立，视频约 1.20 s 脚先落地，随后缓冲起身并保持近直立至视频 4.00 s；评分器记录后转 319.5°、腾空 0.609 s、四阶段全达成和回放成功。推断：结合最终交付轨迹的 400 个控制步及片尾姿态，“后空翻并落地站稳”节点在视频约 4.00 s 完成，最终为 1/1，无失败断点。观察：本次没有状态日志，25 帧/秒录像不能独立核验毫秒级触地先后、精确速度和连续站稳计数，这些数值验收依评分器结果确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标注与视频一致：起跳、倒立、脚先落地、站稳至片尾；成功节点在约4.00 s（400控制步=结束）完成，接触与总结无误，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": "2026-10-31T00:42:15Z",
+  "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-backflip-i00-privileged--zgfqyyv/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-privileged--zgfqyyv/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "cfdf841758b25a746963ebfa64fe5e21cccd88d742da713a064ddfbfd579a199",
+   "video_sha256": "c6cdc0d1b6512aab31a3e99843b185af97c885d875d44fa2d0408023317a0d2d",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--7u2lrch.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--7u2lrch.json
new file mode 100644
index 0000000000000000000000000000000000000000..8fb56d9d20db743c6f294a3f5c2729c65f6b2ecf
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--7u2lrch.json
@@ -0,0 +1,182 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-standard--7u2lrch",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "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": 361,
+   "sim_steps": 1131,
+   "calls": 1142,
+   "rows": 1131,
+   "resets": 4,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4755.8,
+   "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": 4.394,
+   "peak_processes": 22,
+   "peak_disk_gb": 0.332,
+   "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-backflip-i00-standard--7u2lrch/replay.mp4",
+  "duration_s": 3.64,
+  "fps": 25.0,
+  "frames": 91,
+  "sha256": "5acfa900a1e624b244db37d4ce7f7f57d5ba61cc8b0a1f029e04cfbbad493a47"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.6,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–0.60 s，机器人从双脚站立转为屈膝下蹲、摆臂蹬地；初始站立尚未包含合法后翻及落地历史，因此节点不从开局成立。"
+     },
+     {
+      "t": 0.84,
+      "log_step": null,
+      "text_zh": "观察：视频0.68–1.12 s，机器人全身与蓝色场地分离，收腿向后翻转，视频0.76–0.84 s经过倒立姿态；视频1.16 s双脚已落地承重，随后屈膝吸收冲击，未见手、膝或躯干撑地。"
+     },
+     {
+      "t": 3.6,
+      "log_step": null,
+      "text_zh": "观察：视频1.60–3.60 s，机器人仅由脚支撑，双臂前伸、躯干近竖直，位置基本稳定；逐帧检查视频2.60–3.60 s，直到末帧仍站立，没有翻倒或其他身体部位触地。"
+     },
+     {
+      "t": 3.6,
+      "log_step": 116,
+      "text_zh": "观察：log step 116的第5次实时尝试返回“DONE 360 success success 4 / 4”，服务状态为episode=5、control_steps=361、done=true、reason=success；log step 118再次查询得到success、stages_reached=4。inputs/run.json评分字段success=1、live_success=1、graded_by_live=1、finalized=1，确认评分的是这次成功尝试。"
+     },
+     {
+      "t": 3.6,
+      "log_step": 118,
+      "text_zh": "推断：结合视频中后翻、脚先落地及持续站立，与第5次尝试的原生成功终态，将包含连续站稳窗口的完整节点首次达成锚定在视频约3.60 s末帧，而非首次落地时。没有状态日志，精确转角、速度、倾角及连续200次采样由该次原生裁判成功结果确认，无法从25帧/秒录像独立复算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–0.64 s，机器人双脚在蓝色场地上支撑、屈膝蹬地；视频0.68–1.12 s腾空无地面接触；视频1.16–3.60 s双脚落地承重并保持站立。双臂摆动协调，未见上肢接触场地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "评分尝试为log step 116执行并由log step 118确认的第5次实时尝试：机器人在视频约0.68 s离地后翻、约1.16 s脚先落地，随后站稳至视频约3.60 s，完整节点完成1/1，原生裁判成功且无失败断点。会话中此前的失败测试不属于这段评分视频；成功参考录像也呈现后翻、脚落地再站稳的顺序。没有状态日志，视频无法独立核实精确转角、速度及采样窗口，相关数值条件依据本次原生成功结果确认；评分字段未报告turn_deg、air_s，二者保留null。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "评分视频为第5次实时尝试（361控制步≈3.64 s）：0.68 s起离地、视频约0.8 s倒立、约1.16 s脚先落地并站稳至末帧，节点在约3.60 s达成、无失败断点、contact_actual（腿/躯干·支撑）与log step 116/118的服务读数一致；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": "2026-10-31T00:39:10Z",
+  "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-backflip-i00-standard--7u2lrch/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--7u2lrch/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a990f725f29ff2de7421f7820f8fc128cb1afebfa631625655a1be4877c36090",
+   "video_sha256": "5acfa900a1e624b244db37d4ce7f7f57d5ba61cc8b0a1f029e04cfbbad493a47",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--ccgnbbs.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--ccgnbbs.json
new file mode 100644
index 0000000000000000000000000000000000000000..2bac0fcdd694811e998ca8fdb3ee179bfc4188a4
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--ccgnbbs.json
@@ -0,0 +1,190 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-standard--ccgnbbs",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "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": 184,
+   "calls": 27,
+   "rows": 184,
+   "resets": 1,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 1975.5,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 3.326,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.318,
+   "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-backflip-i00-standard--ccgnbbs/replay.mp4",
+  "duration_s": 1.24,
+  "fps": 25.0,
+  "frames": 31,
+  "sha256": "71d31056cd1ef8025bc1bfeecb2196177e74f91684107459a97d7daf3a6e1713"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.6,
+      "log_step": 67,
+      "text_zh": "观察：视频 0.00–0.52 s 机器人由双脚站立下蹲并摆臂，视频 0.60–1.12 s 离地后向后翻过倒立位置；视频 1.16 s 双脚落地，视频 1.20 s 躯干已明显前倾、双手下探，没有落地后连续站稳。"
+     },
+     {
+      "t": 1.2,
+      "log_step": 71,
+      "text_zh": "观察：log step 71 的机器人实时控制服务（执行关节命令并返回原生裁判状态的接口）报告 episode=2、done=True、outcome=fell、stages_reached=3、stages_total=4；该局前三阶段通过，站稳阶段未通过。log step 67 重置后执行119个10毫秒控制步，log step 71 再执行4步结束，共123步，与这段视频的下蹲、翻转、落地前倾及约1.24秒总长一致；这些是最终评分局的服务结果，而非本地模拟结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.56 s 机器人双脚支撑蓝色场地以完成下蹲与起跳；腾空后，视频约 1.16–1.20 s 双脚再次接地承重，但躯干前倾，未稳住。最后画面双手接近地面，不能确认具体非脚触地部位，未另记手部接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 1.16,
+   "log_step": 71,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.12 s 机器人仍在下降，视频 1.16 s 脚着地时膝屈、身体后仰，至视频 1.20 s 躯干迅速向前倒、双臂下垂，未恢复直立；log step 71 的最终实时裁判结果为 fell、3/4阶段。失败发生在后空翻动作的落地稳定过程中。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.2,
+    "log_step": 71,
+    "evidence_zh": "观察：视频 1.16–1.20 s 机器人脚着地后躯干由后仰快速转为近水平前倾，头与双手向地面下降；log step 71 原生裁判报告 outcome=fell，尚未完成站稳验收。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 67,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 67 的 agent 脚本依据本地模拟器状态一次性生成并向实时机器人提交119行 lowcmd，实际执行期间没有根据服务返回的机器人姿态更新落地命令；log step 71 随后只提交固定站姿关节目标，执行4个控制步即得到 fell。结合视频 1.16–1.20 s 落地后快速前倾，说明该动作序列及落地接续控制未能消除落地姿态与运动偏差；证据不足以区分轨迹、反馈或参数的具体问题，保留上位标签。"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 中没有状态日志；视频最后一帧为视频 1.20 s，原生裁判在 log step 71 报告仿真 1.23 s 摔倒，故不能从画面独立确认最终是哪一非脚部位先触地。评分字段和最终服务结果未报告 turn_deg、air_s 数值，均留空，不把本地模拟器的角度当作本次真实指标；控制根因的具体子类无法确定。log step 80 的模型过滤发生在 log step 71 实时局已经结束判负之后，不改变对该物理失败的标注。",
+  "unmet": {
+   "backflip_landed_stable": false
+  }
+ },
+ "summary_zh": "评分局完成起跳、空中后转和脚先落地三个原生阶段，但未完成落地站稳，唯一节点始终未达成，最终为0/1。视频 1.16–1.20 s 机器人落地后迅速前倾，log step 71 裁判判定摔倒；提交的动作序列与固定站姿接续未能稳住机器人，根因归为控制。没有状态日志，具体非脚触地部位及转角、腾空时长数值无法核实；log step 80 的过滤发生在本局判负之后。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频和日志一致：评分局视频 1.16–1.20 s 脚落地后躯干前倾，log step 71 服务报告 outcome=fell、3/4 阶段，节点未达成、断点和平衡/控制标签有证据支持，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": "2026-10-31T00:41:56Z",
+  "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-backflip-i00-standard--ccgnbbs/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--ccgnbbs/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "fa6ed3f42508da19d33b17dcf5d155201cff2b671ae661af38b7ef521da78d97",
+   "video_sha256": "71d31056cd1ef8025bc1bfeecb2196177e74f91684107459a97d7daf3a6e1713",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--dv6r3pr.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--dv6r3pr.json
new file mode 100644
index 0000000000000000000000000000000000000000..4927fe185892b8afcaf0fbe87e7fc2f3c125ad7c
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--dv6r3pr.json
@@ -0,0 +1,196 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-standard--dv6r3pr",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "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": 127,
+   "sim_steps": 5916,
+   "calls": 1075,
+   "rows": 5916,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5040.1,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.261,
+   "peak_processes": 15,
+   "peak_disk_gb": 0.383,
+   "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-backflip-i00-standard--dv6r3pr/replay.mp4",
+  "duration_s": 1.28,
+  "fps": 25.0,
+  "frames": 32,
+  "sha256": "cf5b8abad0d9bc56cc45374caa31b22f2250e439bbe50e5da2cec724db68058d"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.72,
+      "log_step": null,
+      "text_zh": "观察：已逐帧检查本次视频 0.00–1.24 s 的全部32帧；机器人先以双脚支撑下蹲，视频约 0.72 s 完全离地，随后头向后、脚向前翻过倒立位置，视频 1.16–1.20 s 脚部先接地。"
+     },
+     {
+      "t": 1.24,
+      "log_step": 224,
+      "text_zh": "观察：视频 1.20–1.24 s 机器人落地后未直身停稳，骨盆继续下降、身体向后倾倒；log step 224 的最后一次实时尝试在 reset 后返回 resets_left=0、done=True、reason=failed、outcome=fell、stages=3/4。该日志结果与视频动作一致，未出现后翻后连续站稳的验收阶段。"
+     },
+     {
+      "t": 1.24,
+      "log_step": 237,
+      "text_zh": "推断：log step 237 的 agent 最终报告明确称最后一次尝试为评分局，与 log step 224 的服务结果及本次短视频一致，因此此前50次重置中的测试不计入节点进度。成功参考 inputs/oracle/replay.mp4 在参考视频约 1.12 s 脚落地后恢复直立，并在参考视频约 2.08–4.12 s 持续站立；本次视频没有出现这一完成表现，节点全程未满足。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.68 s 机器人双脚与蓝色地面接触，承重下蹲并蹬地起跳；视频约 0.72–1.12 s 腾空，无地面接触；视频 1.16–1.20 s 脚部重新接地承重，随后身体下沉失衡。未将末帧难以分辨的非脚部接触记作确定接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "air_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 1.2,
+   "log_step": 224,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.16–1.20 s 机器人后翻后脚先落地，至视频 1.24 s 身体后倾、骨盆下沉，未恢复站稳；log step 224 的最后一次实时尝试由基准机器人服务返回 outcome=fell、stages=3/4，后续日志没有新的实时尝试。失败发生在后空翻的落地承重阶段。"
+  },
+  "unmet": {
+   "backflip_landed_stable": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.2,
+    "log_step": 224,
+    "evidence_zh": "观察：视频 1.16–1.24 s 机器人从空中后翻转为脚部承重，但身体继续后倾、骨盆快速下沉，未能建立站立姿态；同一最终尝试的服务结果在 log step 224 为 fell、stages=3/4。故为落地失衡，不另重复记录摔倒约束。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 224 显示 agent 的控制脚本以转角跟踪阈值220触发伸腿，并将伸腿目标调整为髋关节-0.60、膝关节0.80；服务确认该最终尝试达到3/4阶段后摔倒。视频 1.16–1.24 s 同时显示脚先接地后未控制住身体下沉和后倾，说明后翻控制未能完成落地稳定；只能归到控制，不能凭先前测试的分析确定本次的关节动量、增益或反馈子类。",
+    "source_zh": "日志 / 视频",
+    "log_step": 224,
+    "t": 1.2
+   }
+  ],
+  "gap_zh": "没有状态日志，视频为25帧/秒且在视频 1.24 s 的最后一帧仍为下沉姿态，不能独立区分服务判定 fell 的具体触发项（骨盆低于阈值或非脚部触地），也不能精确核验空中转角、速度和接触采样。最后一次尝试未输出完整落地本体传感器轨迹；log step 221 的详细轨迹属于此前测试，故不据此量化本次失衡机制。评分字段未报告 turn_deg、air_s，两个原生指标保留null。"
+ },
+ "summary_zh": "评分局完成腾空后翻并脚先接地，但在视频约 1.20–1.24 s 落地后失衡下沉；log step 224 的服务结果为 fell、stages=3/4，因此唯一节点“后空翻并落地站稳”始终未完成，最终0/1。根因按可见落地失稳及控制日志归为控制；无状态日志和最终尝试的完整本体传感器轨迹，无法进一步确定具体失稳机制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "唯一节点未完成、断点在落地稳定、平衡现象与控制根因均有视频和服务结果（log step 224：fell、stages=3/4）支持；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": "2026-10-31T00:41:16Z",
+  "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-backflip-i00-standard--dv6r3pr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--dv6r3pr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "5244f6d32cbf7a3d8f69a4947eece56f7d930ee06a13570b960bbb85e3d79bf6",
+   "video_sha256": "cf5b8abad0d9bc56cc45374caa31b22f2250e439bbe50e5da2cec724db68058d",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--gqxoge4.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--gqxoge4.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f236156b02032c640ac6fc6e692ea2d2f86cd33
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--gqxoge4.json
@@ -0,0 +1,211 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-standard--gqxoge4",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "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": 84,
+   "sim_steps": 4180,
+   "calls": 156,
+   "rows": 4180,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 2744.2,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.504,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.834,
+   "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-backflip-i00-standard--gqxoge4/replay.mp4",
+  "duration_s": 0.88,
+  "fps": 25.0,
+  "frames": 22,
+  "sha256": "939a5cd8e6782f9720258cfccce71137b9e922c8c983f591992a8eb5f54f2163"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": null,
+      "text_zh": "观察：已逐帧检查视频 0.00–0.84 s；机器人先以双脚支撑蹲身、后仰和摆臂，视频 0.56 s 双脚已离开地面，随后收腿向后翻转。开局站立不满足完成后空翻的历史条件。"
+     },
+     {
+      "t": 0.84,
+      "log_step": null,
+      "text_zh": "观察：视频 0.72–0.84 s 机器人仍蜷曲翻转并下降；视频 0.84 s 末帧双脚仍抬起，未见脚先落地或直立站稳，随后录像结束。末帧不足以确认是否已触地及首次触地部位。评分字段 success=0、live_success=0，与未完成节点的录像表现一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.52 s 机器人双脚接触蓝色场地，蹲身并伸腿起跳；视频 0.56–0.80 s 可见身体腾空，视频 0.84 s 仍蜷曲且双脚抬起，未见双脚落地承重；末帧是否已触地及首次触地部位未知。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 0.84,
+   "log_step": 168,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.56–0.84 s 机器人起跳后蜷身后翻并下降，末帧双脚仍抬高，未见脚先落地和站稳，录像在此结束；末帧不能确认触地部位。log step 168 是最后一次重置并执行控制器；agent 在 log step 169、171 自述最后一次尝试未完成后转并摔倒，评分字段 success=0、live_success=0 确认该尝试失败，具体摔倒时刻仍仅有自述。"
+  },
+  "unmet": {
+   "backflip_landed_stable": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 0.84,
+    "log_step": null,
+    "evidence_zh": "观察：视频 0.76–0.84 s 机器人蜷曲下降，末帧双脚仍抬起，后翻尚未形成脚朝下的落地姿态，没有出现落地后的脚支撑或站稳，随后录像结束；是否已经发生非脚部触地不能由末帧确认。推断：结合评分失败与这段下降姿态，保留全身平衡失败，不能表述为已落地后才失衡。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 169 展示最终控制器按固定时长切换蹲身、伸腿及收腿关节目标，以 lowcmd PD 执行；视频 0.56–0.84 s 显示机器人起跳后蜷身后翻，录像结束时仍未形成脚朝下的落地姿态，也未站稳。该关节控制序列未产生完成翻转并安全落地的全身运动；现有证据不足以进一步区分轨迹、跟踪或具体参数问题。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志；最终执行调用及状态查询的完整服务返回未保留在 run.json 中。agent 在 log step 169–171 自述约253°转角、约0.42秒腾空及摔倒和阶段结果，不能当作原生评分数值；reward 未报告 turn_deg 或 air_s，故两项为 null。25帧/秒的侧视录像显示末帧仍未建立双脚落地支撑或站稳，但不能确认末帧是否已经触地及首次触地部位，不能精确核验接触的控制采样或累计骨盆转角，也不足以确定控制根因的子类。"
+ },
+ "summary_zh": "最后一次评分尝试完成蹲身和起跳并在空中蜷身后翻，但未见脚先落地；视频 0.84 s 末帧双脚仍抬起、未站稳，后空翻并落地站稳节点始终未达成，终态为0/1。失败发生在翻腾操作中，保留全身平衡现象及控制根因，但不能确定控制子类或称为落地后失衡。末帧触地部位未知，无状态日志或原生转角与腾空时长；agent 在 log step 169–171 自述约253°、未达300°及摔倒，仅作自述保留。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "单节点未达成、断点 backflip_landed_stable、终态 0/1 均与录像和评分字段一致；但「0.84 s 上半身触地」不是帧上可见的观察，且摘要把空中后翻写成已完成，与 agent 自述转角约253°<300° 的失败原因不符。",
+    "n_issues": 2,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点未达成、断点 backflip_landed_stable、平衡现象与控制根因均与录像一致；末帧触地部位已标为未知，自述数值已标为自述，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": "2026-10-31T00:50:39Z",
+  "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-backflip-i00-standard--gqxoge4/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--gqxoge4/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--gqxoge4/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--gqxoge4/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e6717635d13da1f8bdbafe1afce4ef4f0dace8e11ada718c82b5cb017ff97181",
+   "video_sha256": "939a5cd8e6782f9720258cfccce71137b9e922c8c983f591992a8eb5f54f2163",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--jceja9k.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--jceja9k.json
new file mode 100644
index 0000000000000000000000000000000000000000..404846db264297861c4606a7b1b352ae48bd9bf7
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--jceja9k.json
@@ -0,0 +1,202 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-standard--jceja9k",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "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": 332,
+   "sim_steps": 10084,
+   "calls": 1670,
+   "rows": 10064,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3946.5,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 12.314,
+   "peak_processes": 41,
+   "peak_disk_gb": 1.101,
+   "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-backflip-i00-standard--jceja9k/replay.mp4",
+  "duration_s": 3.36,
+  "fps": 25.0,
+  "frames": 84,
+  "sha256": "f04646f59803a7d5d0d0537abb4f18ccd1aa8eab5888a75d4182b76b87926a82"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.52,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.48 s 机器人以脚支撑下蹲、蹬地，视频 0.52–1.04 s 全身离地并向后翻过倒立姿态；视频 1.08 s 双脚先到达地面，手和膝仍离地。"
+     },
+     {
+      "t": 3.0,
+      "log_step": 437,
+      "text_zh": "观察：视频 1.20–2.88 s 机器人落地后有反弹、前倾和屈膝，没有形成持续直立停稳；视频 3.00–3.32 s 骨盆向脚后方下沉并向后坐倒，末帧可见近侧手部触地，完整的后翻并落地站稳条件从未成立。log step 437 的最后一次服务尝试返回 OUTCOME fell、stages 3/4、episode 51、control_steps 332；log step 448 再次查询仍是该终结状态，与 reward 的 n_actions=332、resets=50 一致。"
+     },
+     {
+      "t": 3.32,
+      "log_step": 437,
+      "text_zh": "推断：以 log step 8 的 control_dt=0.01 s 和 log step 437 的最后一局 control_steps=332 核对，控制步末为视频 3.32 s，正好对应所见向后坐倒的末帧；只将最后一局用于节点判断，不把其他重置局的阶段或本地模拟成功计入本次进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.48 s 机器人双脚接触蓝色地面承重并蹬地，视频 0.52–1.04 s 腾空无地面接触，视频 1.08 s 脚先落地，之后双脚承重但身体逐渐失衡。"
+     },
+     {
+      "who": "手指/夹爪",
+      "how": "支撑",
+      "note_zh": "观察：视频 3.32 s 向后坐倒的末帧中，机器人近侧手部的固定拳垫触地撑住身体；远侧手被身体遮挡，不能确认是否同时触地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "air_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 3.0,
+   "log_step": 437,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.08 s 机器人脚先落地，此后仍在完成同一次后翻的落地稳定阶段；视频 3.00–3.32 s 机器人明显向后坐倒、近侧手部触地，未恢复站立。log step 437 的最后一局服务裁判给出 fell、stages 3/4，未通过站稳阶段。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 3.0,
+    "log_step": 437,
+    "evidence_zh": "观察：视频 2.88–3.32 s 机器人保持屈膝，随后骨盆向脚后方移动并下降，身体向后坐倒，末帧近侧手部撑地；log step 437 的服务裁判终结原因为 fell。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "反馈控制",
+    "t": 3.0,
+    "log_step": 437,
+    "evidence_zh": "推断：log step 265 的控制器修改使落地恢复后保持设定的 hold 关节姿态；log step 428 记录的全身俯仰修正仅在 bal_k 非零时生效，而最后一局 log step 437 明确设置 bal_k=0、吸收和保持姿态相同。该局日志中控制器已处于 stand 阶段，关节位置基本维持不变，机器人却在视频 2.88–3.32 s 持续向后倾倒，说明落地后的全身姿态稳定控制未能抑制俯仰漂移并收敛到站稳状态。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志，无法独立核验毫秒级首次接触、骨盆累计转角、三维速度和连续站稳计数；reward 未报告 turn_deg、air_s 的数值，原生指标保留 null。log step 449 中 agent 自述“向前漂移”的总结涵盖多次会话尝试，而最后评分视频 3.00–3.32 s 显示向后坐倒，具体方向以视频为准；不能据此进一步确定某个增益或目标角度的数值错误。",
+  "unmet": {
+   "backflip_landed_stable": false
+  }
+ },
+ "summary_zh": "机器人完成可见的脚支撑起跳、空中后翻和脚先落地，最后一局服务裁判记录 stages 3/4；落地后未持续站稳，视频 3.00–3.32 s 向后坐倒并用近侧手部撑地，唯一节点未完成（0/1）。落地保持控制未抑制俯仰漂移，断点为“后空翻并落地站稳”的操作中。无状态日志且原生转角、腾空时长数值未报告，精确阈值依服务裁判结果辅助判断；agent 的会话总结不能替代最后一局视频。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "唯一节点未完成、断点在落地站稳、控制步计数 332 对应视频 3.32 s 的映射均与视频和 log step 437/448 一致；现象“平衡”与根因“反馈控制”（bal_k=0、落地后保持姿态）有日志支撑，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": "2026-10-31T00:38:48Z",
+  "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-backflip-i00-standard--jceja9k/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--jceja9k/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "30348a1bd6bdc577ed124e9c34349caad93fec1ecdc7042da2afafe9e044ab3d",
+   "video_sha256": "f04646f59803a7d5d0d0537abb4f18ccd1aa8eab5888a75d4182b76b87926a82",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--oexfg2a.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--oexfg2a.json
new file mode 100644
index 0000000000000000000000000000000000000000..5847f873d9afc4c5edcd1dd9a7b5d29646082050
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--oexfg2a.json
@@ -0,0 +1,182 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-standard--oexfg2a",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "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": 20,
+   "sim_steps": 1794,
+   "calls": 40,
+   "rows": 1794,
+   "resets": 12,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7145.6,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 3.07,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.389,
+   "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-backflip-i00-standard--oexfg2a/replay.mp4",
+  "duration_s": 0.24,
+  "fps": 25.0,
+  "frames": 6,
+  "sha256": "fa6db33957a15962340634eaaac2b5de7566950e1db0502adb559be1b50eaee0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：已逐帧查看本次视频全部6帧（视频0.00、0.04、0.08、0.12、0.16、0.20 s）；机器人始终双脚站在蓝色场地上，没有可见的下蹲起跳、腾空、后转或翻后落地。与成功参考视频中清晰可见的腾空后翻及落地站稳相比，本次没有启动后空翻，开局站立不满足本节点。"
+     },
+     {
+      "t": 0.2,
+      "log_step": 1052,
+      "text_zh": "观察：log step 1052中agent脚本先调用实时机器人服务的reset，再提交20行stand动作（dt=0.01）；服务返回episode=13、control_steps=20、sim_time_s=0.2、done=False、calls=40、rows=1794。评分器reward同为calls=40、rows=1794、n_actions=20、live_success=0且graded_by_live=1，视频末帧仍为站立；本节点未完成。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 0.0,
+   "log_step": 1052,
+   "where": "首步前",
+   "evidence_zh": "观察：本次视频0.00–0.20 s全部帧只显示机器人站立，未出现后空翻的起跳动作。log step 1052的最后实时局由agent脚本重置后仅执行20行stand；后续log step 1053–1060没有再次向实时服务提交动作。该局停在后空翻启动前。"
+  },
+  "unmet": {
+   "backflip_landed_stable": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0.0,
+    "log_step": 1052,
+    "evidence_zh": "观察：视频0.00、0.04、0.08、0.12、0.16及0.20 s中机器人保持原地双脚站立，未起跳或翻腾；log step 1052明确只提交stand动作。较早测试局的翻转和摔倒不在本次评分视频中。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "交付",
+    "item": "交付操作出错",
+    "source_zh": "日志 / 评分器字段 / 视频",
+    "evidence_zh": "推断：agent把实时评分局重置为站立诊断局后，没有再执行后空翻控制器，最终交付了该诊断局。依据：log step 1047曾向实时服务运行后空翻控制器，但该测试局返回fell；log step 1051及1052随后调用实时reset，log step 1052仅提交20行stand。此后log step 1053–1060只做本地模拟分析或读取spec；log step 1060的SUCCESS来自BackflipRunner本地模拟，并未提交实时服务。评分器graded_by_live=1、n_actions=20、calls=40、rows=1794与log step 1052的服务回执完全一致，视频0.00–0.20 s也只显示站立，证实最终受评的是站立测试局。"
+   }
+  ],
+  "gap_zh": "没有状态日志，不能精确复核足底接触、空中转角和速度等数值；但本次视频全部帧可见机器人始终站立，足以判定后空翻未启动。评分器没有报告turn_deg和air_s，原生指标留null；会话中其他局及本地模拟的指标不能替代本次评分局。"
+ },
+ "summary_zh": "本次评分视频全部6帧仅显示机器人原地站立，后空翻并落地站稳节点未达到，最终进度0/1。最后实时操作在log step 1052重置后只执行20行站立动作，后续本地模拟成功未提交实时服务，最终评分停留在站立诊断局，属于交付操作出错。无状态日志且评分器未报告转角和腾空时长，但不影响对未启动后空翻的判断。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与证据一致：评分视频6帧全程站立，节点未达成，没尝试/首步前，交付操作出错有log step 1047、1052及评分器字段支撑。",
+    "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": "2026-10-31T00:40:22Z",
+  "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-backflip-i00-standard--oexfg2a/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--oexfg2a/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a2c85a5c8d8942d262bac3c2845785ae6f4784dd61bacb29d29eafeaf7fa3c40",
+   "video_sha256": "fa6db33957a15962340634eaaac2b5de7566950e1db0502adb559be1b50eaee0",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--pu6ny3q.json b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--pu6ny3q.json
new file mode 100644
index 0000000000000000000000000000000000000000..19e663e1a7080b76897c322e724dfb5e11cf5bf8
--- /dev/null
+++ b/phase2/embodied-olympics-fun/backflip/trajectories/embodied-olympics-fun-backflip-i00-standard--pu6ny3q.json
@@ -0,0 +1,198 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-backflip-i00-standard--pu6ny3q",
+ "taskKey": "embodied-olympics-fun/backflip",
+ "dag_sha256": "a2dce89dd7f0391d67651e778f82fd48e6fb3121b94be3c140496cb25fc4241d",
+ "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": 121,
+   "sim_steps": 720,
+   "calls": 13,
+   "rows": 720,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 6063.9,
+   "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": 1.972,
+   "peak_processes": 25,
+   "peak_disk_gb": 0.324,
+   "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-backflip-i00-standard--pu6ny3q/replay.mp4",
+  "duration_s": 1.24,
+  "fps": 25.0,
+  "frames": 31,
+  "sha256": "b4060780855a98c493676052a6f51b2d8caaf6b06ee813ac27f9f09468e61e82"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "backflip_landed_stable": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.68,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.60 s，机器人从双脚支撑下蹲、蹬地并向后仰；视频 0.68–1.16 s 可见机器人离地、收腿后翻并展开，视频 1.20 s 脚部触地、膝部仍弯曲。整段视频到 1.24 s 结束，没有落地后连续站稳的过程。"
+     },
+     {
+      "t": 1.2,
+      "log_step": 136,
+      "text_zh": "观察：log step 136 中，agent 脚本重置后提交第 6 局动作，机器人服务返回 outcome=fell、stages_reached=3/4、done=True、reason=failed、control_steps=121；这些是服务裁判结果，表示已通过合法腾空、后转及脚先落地阶段，未通过站稳阶段。log step 139、141 的服务状态仍为 episode=6、control_steps=121、failed，第 7 局重置被拒绝，因此第 6 局是最终评分尝试。"
+     },
+     {
+      "t": 1.2,
+      "log_step": 136,
+      "text_zh": "推断：依据视频 1.20 s 的落地画面及 log step 136 的第 6 局裁判结果，机器人在落地时失衡判负，后空翻并落地站稳节点从未成立。起始直立未包含后翻历史，不计为本节点已完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.60 s，机器人双脚接触蓝色场地地面，承担下蹲与蹬地支撑；视频 0.68–1.16 s 为腾空阶段，视频 1.20 s 脚部重新接地承重。未观察到手部撑地，不据裁判的 fell 结果虚构具体非脚接触部位。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 300.0,
+   "direction": "higher_better"
+  },
+  {
+   "name": "air_s",
+   "value": null,
+   "unit": "s",
+   "threshold": 0.2,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "backflip_landed_stable",
+   "t": 1.2,
+   "log_step": 136,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.12–1.20 s，机器人翻身后展开双腿下降，脚部在视频 1.20 s 接地，未进入持续站稳。log step 136 的本局服务裁判返回 fell、3/4 阶段和 failed；log step 139、141 确认此后没有新局，故断点为后空翻动作的落地站稳阶段。"
+  },
+  "unmet": {
+   "backflip_landed_stable": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.2,
+    "log_step": 136,
+    "evidence_zh": "观察：视频 1.04–1.20 s 中机器人仍在快速翻身、展开和屈膝接地，末帧没有稳定直立停留；log step 136 的第 6 局服务裁判明确报告 outcome=fell、stages_reached=3/4，并结束本局。失衡由本局裁判结果确认；视频止于落地附近，没有拍到完整倒地过程。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 1.2,
+    "log_step": 137,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 31 的 agent 控制脚本预生成整段关节目标、增益和力矩序列并一次性提交 lowcmd；log step 136 用该脚本提交第 6 局，未根据本局落地姿态在线修正动作。log step 137 对本局返回的本体传感数据作诊断，在仿真 1.20 s 和仿真 1.21 s 打印骨盆 gy 分别为 -8.53 和 -12.15 rad/s，说明落地附近仍有较大角速度；结合视频 1.12–1.20 s 的展开接地及 log step 136 的 fell，支持所执行控制未能在落地时消除旋转并稳定承重。现有证据不足以单独确定某个增益、开腿时刻或控制子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志，25 fps 视频末帧为视频 1.20 s，未覆盖服务报告摔倒的全部细节，无法辨认最终触发判负的具体身体接触部位或独立核验骨盆高度、速度等数值。log step 137 是 agent 对返回传感数据的诊断而非完整原始状态，不能精确重建落地接触与控制误差链；agent 在 log step 144 自述空中转角约 321°，不作为原生评分数值。run.json 的评分字段未报告 turn_deg、air_s，故两项 native_metrics 的 value 均为 null。"
+ },
+ "summary_zh": "最终评分为第 6 局：机器人确实起跳并完成空中后翻，服务裁判确认通过前三个原生阶段，但在视频约 1.20 s 落地处判定摔倒，后空翻并落地站稳节点始终未完成，最终为 0/1。日志中的开环动作提交和落地附近较大骨盆角速度支持落地控制未能稳定承重；没有状态日志且视频止于落地附近，无法确认最终非脚接触部位或精确原生转角、腾空时长。",
+ "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 1.24 s 为第 6 局（control_steps=121），可见起跳、后翻、约 1.20 s 脚先落地且未站稳；服务裁判 fell、3/4 阶段，节点 false、断点落地站稳、平衡现象和停在“控制”的根因均有支撑，log_step 使用 steps[].id 且存在。仅有可补充但非错误之处：log step 137 的本体读数还显示骨盆累计后转 378°/384°（落地过转），可佐证根因。",
+    "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": "2026-10-31T00:48:14Z",
+  "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-backflip-i00-standard--pu6ny3q/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-backflip-i00-standard--pu6ny3q/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "0b59c9e7257c7c9425e8dfad5ed4ad4801fb90b6ef0cbe462359e59b6723a176",
+   "video_sha256": "b4060780855a98c493676052a6f51b2d8caaf6b06ee813ac27f9f09468e61e82",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--acj2kf9.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--acj2kf9.json
new file mode 100644
index 0000000000000000000000000000000000000000..577d7474d0c991d9c5e3b5b363264bc80a1764f0
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--acj2kf9.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-privileged--acj2kf9",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1291,
+   "sim_steps": 1291,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 19.04,
+   "bad_trajectory": 0,
+   "metric_entry_angle_deg": -0.25,
+   "metric_entry_speed_m_s": 2.33,
+   "metric_entry_y_m": -0.11,
+   "metric_pins_down": 8.0,
+   "metric_release_speed_m_s": 3.19,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 2097,
+   "agent_resets": 2274,
+   "agent_replays": 4,
+   "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": 15.193,
+   "peak_processes": 28,
+   "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": 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-bowling-i00-privileged--acj2kf9/replay.mp4",
+  "duration_s": 12.92,
+  "fps": 25.0,
+  "frames": 323,
+  "sha256": "dd95a916a50083302822cb842d713c328f3ba714ae69c72f3dc7c91a25a51f5d"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.48,
+      "log_step": 221,
+      "text_zh": "观察：视频 0.00–0.44 s 机器人双掌在髋前夹住球；视频 0.48 s 双臂前送，视频 0.52–0.68 s 紫色球与双掌分离并向球道前进，双脚始终支撑在助走区。log step 221 重新生成最终交付文件，报告 delivery、pins 两个阶段。"
+     },
+     {
+      "t": 7.9,
+      "log_step": null,
+      "text_zh": "观察：视频 7.4–7.8 s 球接近远端瓶阵，视频约 7.9–9.6 s 球进入瓶区后，多只白色球瓶相继倾倒；视频 9.6–12.88 s 瓶台仍可见两根分开的直立瓶身，未呈现全中。"
+     },
+     {
+      "t": 12.88,
+      "log_step": 245,
+      "text_zh": "观察：log step 245 对最终 trajectory.npz 重新生成并回放，输出 1291 行、not a strike、pins_down=8、stages=[delivery,pins]；inputs/run.json 的评分字段 metric_pins_down=8、deterministic=1 与之相符。视频 12.00–12.88 s 仍有残瓶，机器人保持站立，因此投球全中节点未达到。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.48 s 左右平掌垫从两侧夹压紫色球，并共同向前送球；视频 0.52–0.68 s 球与双掌分离。候选：夹持；单掌没有闭合手指或夹爪，不符合抓握，未见明确改为从下方承托的阶段。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–12.88 s 机器人双脚接触助走区承重，送球时身体轻微摆动，随后保持原地站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": 8.0,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 9.6,
+   "log_step": 245,
+   "where": "操作中",
+   "evidence_zh": "观察：机器人在视频 0.48–0.68 s 送球，视频约 7.9 s 球开始碰瓶，视频 9.6–12.88 s 碰撞链结束后仍有两只球瓶直立。log step 245 对交付文件的回放返回 not a strike、pins_down=8；本次仅尝试这一球，未补救投球全中步骤。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "其他",
+    "t": 9.6,
+    "log_step": 245,
+    "evidence_zh": "观察：视频约 7.9–9.6 s 球进入瓶阵并带倒多瓶，视频 10.0、11.2、12.0、12.88 s 的瓶区放大画面仍见两只分开的直立白瓶，其他瓶体倒在附近；log step 245 的交付回放点数为 8。",
+    "note_zh": "候选：击瓶后残瓶直立。现有条目没有准确覆盖已命中瓶阵却只造成部分倒瓶的结果；画面不能证明具体是位姿不准或接触力异常。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 215、221 的最终生成脚本以固定双臂关节斜坡和回摆送球；log step 181 的同类送球试验改变摆臂时长即改变出球速度、入瓶偏移及倒瓶数。log step 245 对最终文件测得离手速度 3.19 m/s、入瓶速度 2.33 m/s、横向偏移 -0.11 m、入射角 -0.25°，与视频 0.48–0.68 s 出球、视频 9.6–12.88 s 留有残瓶的过程相符。所执行的送球运动未形成全中的碰撞链，归为控制；证据不能进一步区分接触几何、轨迹或参数哪一项主导。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "未提供本次轨迹的逐帧状态日志；640×360 远景及放大图可辨末态残瓶，但不能可靠测量逐瓶倾角、掌球接触力或交付投球的自旋。8 瓶精确计数依评分器及交付文件回放，不能仅凭画面独立复算；也不能由单次入瓶速度断言全中所需的普适速度阈值。agent 在 log step 256 对平掌夹持无法产生所需旋转的解释只是自述，未据此认定任务无解或细分根因。",
+  "unmet": {
+   "strike_completed": false
+  }
+ },
+ "summary_zh": "机器人在犯规线后由双掌夹压送出一球，视频约 7.9 s 碰瓶，至视频 12.88 s 仍有两只球瓶直立；评分器及最终文件回放均记录击倒 8 瓶，因此唯一节点“投球全中”未完成。断点为投球全中操作中的残瓶结果，根因保守归为送球控制，不能确定速度、旋转或入射方向哪项主导。无逐帧状态日志，精确倒瓶计数依原生评分，远景仅支持残瓶与接触方式的视觉判断。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频显示 0.6 s 送出球、约 8 s 起球与球瓶碰撞、12.8 s 仍有残瓶直立，评分 pins_down=8，节点未达成、断点、接触与根因保守归控制均有证据支持。",
+    "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": "2026-10-31T00:33:28Z",
+  "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-bowling-i00-privileged--acj2kf9/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--acj2kf9/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "7d09e3f6540f015566c94ec29b68cf9d84a6f935fb770b029b2b57933b7f155b",
+   "video_sha256": "dd95a916a50083302822cb842d713c328f3ba714ae69c72f3dc7c91a25a51f5d",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--fbpjn5r.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--fbpjn5r.json
new file mode 100644
index 0000000000000000000000000000000000000000..7e1c3ce409fd8b62accfa248d1ee159bd98d6d47
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--fbpjn5r.json
@@ -0,0 +1,178 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-privileged--fbpjn5r",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 971,
+   "sim_steps": 971,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 11.05,
+   "bad_trajectory": 0,
+   "metric_entry_angle_deg": -0.18,
+   "metric_entry_speed_m_s": 4.25,
+   "metric_entry_y_m": -0.059,
+   "metric_pins_down": 10.0,
+   "metric_release_speed_m_s": 5.7,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 1374,
+   "agent_resets": 1106,
+   "agent_replays": 2,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 24.243,
+   "peak_processes": 20,
+   "peak_disk_gb": 0.242,
+   "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-bowling-i00-privileged--fbpjn5r/replay.mp4",
+  "duration_s": 9.72,
+  "fps": 25.0,
+  "frames": 243,
+  "sha256": "3f0fe4763279eea7b6a352a58e84e3dc6a2ca46927f8a86aa1a4c247afae2960"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.68,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.72,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.64 s 机器人双脚留在犯规线后的助走区，双臂共同持紫色球；视频 0.72 s 双掌位于球的下后方并向前上方摆动，视频 0.80–0.96 s 球已与两掌分离并向球道飞出。"
+     },
+     {
+      "t": 4.72,
+      "log_step": null,
+      "text_zh": "观察：视频 1.00–4.64 s 紫球沿木质球道前进，视频 4.64–4.80 s 抵达白色红颈球瓶阵列；视频 4.96–6.72 s 球瓶逐渐倾斜、散开，原有直立阵列消失。远端像素不足以逐瓶判定倾角或清点遮挡球瓶。"
+     },
+     {
+      "t": 9.68,
+      "log_step": 83,
+      "text_zh": "观察：视频 8.76–9.68 s 机器人仍双脚站在助走区，瓶区仅见低矮散落的白色瓶体；inputs/run.json 的 reward 记录 success=1、replay_success=1、deterministic=1、metric_pins_down=10、stages_reached=3。log step 83 对已保存交付文件的官方回放返回 success=true、failed=null、stages=[delivery,pins,strike]、pins_down=10；log step 84 的第二次回放返回成功且终态哈希相同。"
+     },
+     {
+      "t": 9.68,
+      "log_step": 83,
+      "text_zh": "推断：结合视频约 4.7 s 首次碰瓶、DAG 的碰瓶后 5.0 秒点数条件和交付文件的官方成功回放，投球全中在视频末端约 9.7 s 完成；区间起点取已检查的末帧视频 9.68 s 为近似导航锚点，不在球刚离手或瓶刚倒下时提前记完成。该判断采用评分器结果补足远景逐瓶不可辨的部分，未将 agent 会话时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.40–0.72 s 机器人两臂共同送球，两块平掌垫在紫球下后方承托；视频 0.80 s 球已离手。推断：结合 inputs/run.json 的开局双掌夹压说明，持球从两掌侧向夹压转为下后方承托；两手无可闭合手指，不属于抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–9.68 s 机器人双脚接触木质助走区承重，双臂送球时脚仍留在原处，出手后继续站立至结束。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": 10.0,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人双脚原地支撑，以双掌承托送球，紫球约在视频 0.8 s 离手、视频 4.7 s 碰瓶，按五秒点数延迟在视频末端约 9.7 s 完成投球全中，最终节点 1/1；评分器记录十瓶全倒，交付文件两次官方回放均成功且终态哈希相同。无状态日志，远景无法逐瓶量角或辨认细微接触，全中及合法性细节由评分器成功结果佐证，完成时刻使用视频 9.68 s 末帧作近似锚点。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点投球全中：视频 0.72 s 双掌承托送球、4.7 s 碰瓶、末帧约 9.68 s 记完成（碰瓶后 5 s 点数），与评分器成功结果一致；接触标签（双臂协作·托/舀 + 腿/躯干·支撑）与画面相符，无失败层合理。",
+    "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": "2026-10-31T00:32:41Z",
+  "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-bowling-i00-privileged--fbpjn5r/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--fbpjn5r/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "878703737678b7c2e69f03fd75c39745ba991403fcaea8361abe3f028fa7cb16",
+   "video_sha256": "3f0fe4763279eea7b6a352a58e84e3dc6a2ca46927f8a86aa1a4c247afae2960",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--flmmlvx.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--flmmlvx.json
new file mode 100644
index 0000000000000000000000000000000000000000..d061dc3f61ebf32b7f547e9e8f68710d02b413d1
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--flmmlvx.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-privileged--flmmlvx",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1869,
+   "sim_steps": 1869,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 27.09,
+   "bad_trajectory": 0,
+   "metric_entry_angle_deg": 0.43,
+   "metric_entry_speed_m_s": 1.35,
+   "metric_entry_y_m": 0.088,
+   "metric_pins_down": 7.0,
+   "metric_release_speed_m_s": 2.13,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 110,
+   "agent_resets": 324,
+   "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": 1.099,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.84,
+   "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-bowling-i00-privileged--flmmlvx/replay.mp4",
+  "duration_s": 18.72,
+  "fps": 25.0,
+  "frames": 468,
+  "sha256": "ff20a458f7989823b85bd277440c9768382e03e7aad95eba4ea6987184bfc64c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–0.68 s，机器人双脚站在助走区，紫色球位于两掌之间；视频 0.72–0.80 s 双臂向前送球，视频 0.84–1.08 s 球与双掌分离并向球道落下。"
+     },
+     {
+      "t": 13.8,
+      "log_step": null,
+      "text_zh": "观察：视频 13.2–13.6 s 紫色球沿木质球道接近瓶阵，视频 13.8–15.4 s 球进入瓶阵并引起部分球瓶倾倒，仍有白色球瓶直立；视频 17.6–18.68 s 这些直立球瓶仍在，机器人始终双脚站立。"
+     },
+     {
+      "t": 18.68,
+      "log_step": 329,
+      "text_zh": "观察：log step 327 对最终生成的交付文件进行两次独立回放；log step 329 两次均报告 delivery、pins 两阶段已到达，pins_down=7、failed=\"not a strike\"，且终态哈希相同；run.json 的评分字段 metric_pins_down=7、deterministic=1、fell=0 与之相符。推断：结合视频 18.68 s 仍有球瓶直立，满五秒点数未全中，整个视频内本节点均未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.0–0.76 s 两掌从球两侧夹压持球，并共同前送，随后球离掌；log step 195 的交付生成器同时控制左右掌前推，与画面一致。候选：夹持；平掌之间的夹压没有任何一只手闭合包围球，不能归为抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–18.68 s，机器人双脚接触助走区木质地面承重，在送球和等待倒瓶期间保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": 7.0,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 13.8,
+   "log_step": 329,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 13.8–15.4 s，机器人送出的球进入瓶阵后只引起局部倾倒，部分球瓶一直留立至视频 18.68 s；log step 329 的最终交付回放以 not a strike 结束并点数 7 瓶。推断：失败发生于投球全中这一步，视频 13.8 s 以碰瓶阶段作粗略定位；球已送出并碰瓶，但未形成全中。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "其他",
+    "t": 14.8,
+    "log_step": 329,
+    "evidence_zh": "观察：视频 14.4–15.4 s，紫色球进入瓶阵前部后向画面左侧偏转，周围球瓶倒下，但另一些球瓶仍竖立；视频 17.6–18.68 s 球留在瓶台附近，直立球瓶未被后续碰撞带倒。log step 329 的点数为 7 瓶。",
+    "note_zh": "候选：倒瓶连锁不足。可见问题是球与球瓶碰撞后未能使剩余球瓶连锁倾倒；球确已碰瓶，且没有足够证据把该结果具体标成瞄准位姿偏差、动态时机或失去持球，因此使用其他。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 195 的交付生成器采用双掌保持朝向的短程前推，以固定方向和微小左右差速送球；log step 327 重新运行该生成器，log step 329 两次最终回放均得到离手速度 2.13 m/s、入瓶速度 1.35 m/s、入瓶横向偏移 0.088 m 和 7 瓶。结合视频 13.8–18.68 s 的局部倒瓶，交付的投球控制未产生能清倒整个瓶阵的出球运动；只能归到控制，不能确定接触设计、轨迹跟踪或参数中的具体原因。"
+   }
+  ],
+  "gap_zh": "没有逐帧状态或接触日志；远景球瓶只有少量像素，无法逐瓶核对倾角、身份和碰撞传递顺序，最终数量取评分器及交付回放的 7 瓶。视频与日志能确认未全中，但无法分离球速、旋转、入射路线和掌球传力各自的因果贡献，故现象使用候选“倒瓶连锁不足”，根因仅标控制，不指定子类。"
+ },
+ "summary_zh": "机器人从犯规线后双掌送出紫色球并有效碰瓶，但点数仅倒 7 瓶，唯一的“投球全中”节点始终未完成，最终为 0/1。断点定位于视频约 13.8 s 的碰瓶阶段：球进入瓶阵后只造成局部连锁倾倒，余瓶直立至视频 18.68 s，机器人未跌倒；最终文件的两次回放结果一致。投球控制未达到全中效果，但缺少逐帧接触和逐瓶状态，不能进一步确定球速、入射路线或传力中的具体根因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标注与视频、评分字段一致：球约 13.8 s 入瓶阵，仅局部倒瓶（7 瓶），节点未达成，断点、接触与根因（控制，不分子类）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": "2026-10-31T00:35:30Z",
+  "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-bowling-i00-privileged--flmmlvx/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--flmmlvx/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "7ed91b77ad9b11380aa5f3dbef781033bb6456f74f1d4a797dfebcfef82da3f1",
+   "video_sha256": "ff20a458f7989823b85bd277440c9768382e03e7aad95eba4ea6987184bfc64c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--pdhbyit.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--pdhbyit.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b6050bde5a5ebf618b67cb95588f2b9a3ddccb3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--pdhbyit.json
@@ -0,0 +1,206 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-privileged--pdhbyit",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1185,
+   "sim_steps": 1185,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 21.25,
+   "bad_trajectory": 0,
+   "metric_entry_angle_deg": -0.51,
+   "metric_entry_speed_m_s": 2.5,
+   "metric_entry_y_m": -0.126,
+   "metric_pins_down": 9.0,
+   "metric_release_speed_m_s": 3.84,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 470,
+   "agent_resets": 228,
+   "agent_replays": 7,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 4.307,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.28,
+   "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-bowling-i00-privileged--pdhbyit/replay.mp4",
+  "duration_s": 11.88,
+  "fps": 25.0,
+  "frames": 297,
+  "sha256": "e3353649328e85999efce7a29d508fb4822b3e4d412c2eff28da1271e805340a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.2,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.20 s，机器人两掌夹托紫球并向前上方送出；视频 0.28 s 球已与双掌明显分离，随后沿木质球道前进，机器人双脚留在助走区。"
+     },
+     {
+      "t": 7.0,
+      "log_step": null,
+      "text_zh": "观察：视频约 6.8–7.4 s，球到达瓶区并引起球瓶倾斜、散开；视频 8.0–11.84 s 的瓶台放大画面仍见画面右侧一只球瓶直立，机器人全程站立。"
+     },
+     {
+      "t": 11.84,
+      "log_step": null,
+      "text_zh": "观察：inputs/run.json 的评分器字段 metric_pins_down=9、stages_reached=2/3、success=0、deterministic=1、fell=0；与视频末尾仍有球瓶直立相符，因此投球全中判据从未成立。"
+     },
+     {
+      "t": null,
+      "log_step": 563,
+      "text_zh": "观察：log step 563 的调试会话结果为 8 瓶、1201 控制步，不能当作本次评分结果；评分器实际回放为 9 瓶、1185 控制步。log step 592–593 又创建并运行允许大于 8 瓶时保存轨迹的脚本，但没有返回结果，无法从这段日志唯一确认最终保存的参数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.16 s 左右平掌从两侧共同夹压紫球；候选：夹持。单掌没有闭合包围球体，现有抓握标签不适用。"
+     },
+     {
+      "who": "双臂协作",
+      "how": "托/舀",
+      "note_zh": "观察：视频约 0.16–0.24 s，双掌由夹球转为从球的下后方共同托送，之后球离开双掌；这是同一次出球中依次发生的接触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–11.84 s，机器人双脚接触木质助走区承重，出球及等待球瓶运动期间保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": 9.0,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 7.0,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 7.0 s 紫球抵达瓶区并开始引起倒瓶，但视频 8.0–11.84 s 仍有一只球瓶直立，评分器 metric_pins_down=9，success=0。推断：这次投球未形成覆盖全部球瓶的碰撞连锁，投球全中这一步未完成；视频时间为碰瓶附近的粗略导航锚点。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 7.0,
+    "log_step": null,
+    "evidence_zh": "观察：视频约 6.8–8.0 s，紫球进入瓶阵并撞散多数球瓶，画面右侧的一只球瓶未随其余球瓶倒下，至视频 11.84 s 仍直立；评分器记录 9 瓶倒下。推断：球与倒瓶的运动路径没有击倒剩余静止目标，归为投球位姿不准。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：视频 0.16–0.28 s 显示机器人完成双掌前送与释放，视频约 7.0–11.84 s 显示球实际撞瓶后留下一只直立球瓶；评分器记录离手速度 3.84 m/s、入瓶速度 2.50 m/s、入瓶横向位置 -0.126 m、入射角 -0.51°。结合 log step 592 中通过肩、肘、腕与躯干角度设定投球的脚本，问题可归于出球运动控制尚未形成全中所需的球路；没有证据确定某一参数错误，因此不细分控制子类。",
+    "source_zh": "视频 / 评分器字段 / 日志"
+   }
+  ],
+  "gap_zh": "无状态日志或逐瓶接触记录；远景虽可辨一只球瓶始终直立，不能可靠确定其编号、精确倾角及每次碰撞。日志中 log step 563 的 8 瓶会话与评分回放的 9 瓶不同，log step 592–593 的末次脚本运行又未返回保存结果，故不把调试结果或其控制步时间映射为本视频事实。无法进一步区分出球速度、横向落点、旋转和入射角对漏瓶的贡献。",
+  "unmet": {
+   "strike_completed": false
+  }
+ },
+ "summary_zh": "机器人完成双掌送球、离手和有效碰瓶，保持站立，但点数只击倒 9/10 瓶；唯一节点“投球全中”始终未达到，最终为 0/1。视频约 7.0 s 的碰瓶是断点锚点，之后仍有一瓶直立，现象为位姿不准，根因保守归于投球控制。缺少状态及逐瓶接触记录，且会话调试结果与最终回放不同，无法确定漏瓶的具体控制参数原因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "唯一节点未达成（9/10 瓶，评分器 metric_pins_down=9）、断点、接触、现象与保守根因均有视频与评分器字段支持，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": "2026-10-31T00:33:13Z",
+  "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-bowling-i00-privileged--pdhbyit/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--pdhbyit/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "5d4ef448d9adee89f0c0f32636afa2041ea30c44fdaee9ecf2b0d209ea58ef2a",
+   "video_sha256": "e3353649328e85999efce7a29d508fb4822b3e4d412c2eff28da1271e805340a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--svlk5hb.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--svlk5hb.json
new file mode 100644
index 0000000000000000000000000000000000000000..9baf8a893fd69e28d0df6daa9bf27a5ad5a2473e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--svlk5hb.json
@@ -0,0 +1,213 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-privileged--svlk5hb",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1179,
+   "sim_steps": 1179,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 12.33,
+   "bad_trajectory": 0,
+   "metric_entry_angle_deg": -0.24,
+   "metric_entry_speed_m_s": 2.81,
+   "metric_entry_y_m": -0.058,
+   "metric_pins_down": 8.0,
+   "metric_release_speed_m_s": 3.26,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 68,
+   "agent_resets": 1464,
+   "agent_replays": 3,
+   "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-bowling-i00-privileged--svlk5hb/replay.mp4",
+  "duration_s": 11.8,
+  "fps": 25.0,
+  "frames": 295,
+  "sha256": "90b39193cffa7b0ede05ec89ab379b9492c4295fa1065336608266d77a3b1e2f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.48 s，机器人在助走区站立，紫球起初位于两掌之间，双臂随后向前摆送；视频 0.52–0.80 s 可见球与双掌分离并向球道前进。"
+     },
+     {
+      "t": 6.8,
+      "log_step": 94,
+      "text_zh": "观察：视频 6.20–7.70 s 的瓶区放大帧显示紫球到达球瓶阵列，随后部分球瓶倾倒，仍有球瓶直立；视频 10.80–11.76 s 仍可见直立瓶。log step 94 对已交付文件的独立回放报告 stages=[delivery,pins]、failed=not a strike、pins_down=8、standing=[7,8]；评分器 reward.metric_pins_down=8、stages_reached=2/3、fell=0、deterministic=1，与视频一致。"
+     },
+     {
+      "t": 11.76,
+      "log_step": 95,
+      "text_zh": "推断：本节点要求首次有效碰瓶后点数时十瓶全倒；视频终态仍有直立瓶，且 log step 94–95 对交付文件的回放均只判八瓶，故节点从未成立，final=false。原生 delivery、pins 两个阶段不是本 DAG 的已完成语义节点，不能折算为本节点达到。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00 s 紫球位于机器人两只平掌垫之间，随后两臂共同送球。候选：夹持；初始双掌从两侧夹压球，各掌没有能闭合包围球的手指，不符合抓握。"
+     },
+     {
+      "who": "双臂协作",
+      "how": "托/舀",
+      "note_zh": "推断：视频 0.12–0.48 s 双臂保持紫球并向前送出，随后双掌抬起、球离手；结合 log step 91 生成脚本中的双臂 scoop_pose 与摆送段，以及 log step 93 生成动作与交付文件完全相同的检查，初始夹压之后转为两只平掌垫从下后方共同承托送球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.80 s 双脚接触助走区支撑送球，视频 11.76 s 机器人仍双脚站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": 8.0,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 7.6,
+   "log_step": 94,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 6.8 s 球到达瓶区，视频 7.4–7.7 s 已有多瓶倒下但仍有直立瓶，直到视频 11.76 s 也未全部倾倒。log step 90 保存的 1179 行投球文件在 log step 94–95 独立回放均达到 delivery、pins，最终以 not a strike 结束，裁判记录仅八瓶倒下；本次投球的连锁击倒没有完成投球全中节点。"
+  },
+  "phenomena": [],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 90、94–95 对实际交付动作记录离手速度 3.26 m/s、入瓶速度 2.81 m/s、入瓶横向位置 -0.058 m、入瓶角度 -0.24°，多次确定性回放均留下两瓶。会话调试 log step 80 改变夹压与摆臂加速度后出球速度、方向发生变化，log step 89 改变躯干朝向产生八瓶或入沟的不同结果，说明待解决的是送球动作对球运动状态的控制；结合视频 6.8–11.76 s 的局部倒瓶，归为控制层面。现有证据不足以进一步区分速度、旋转、方向或具体接触设计的贡献。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "视频 6.8–7.6 s 可见球进入瓶阵后部分球瓶倾倒，视频 10.8–11.76 s 仍有直立瓶；log step 94–95 的交付文件回放记录 pins_down=8、failed=not a strike，其中 log step 94 记录 standing=[7,8]。这些证据确认结果未全中，但不能单独指认运动或接触缺陷；“连锁击倒不足”只是复述未达标指标，故按 docs/03_trajectory.md Step 3.1、DECISIONS.md N10 与 CASES.md FAIL-15 将现象层留空。没有逐帧状态日志，远景视频中的掌垫接触面和球瓶倾角分辨率有限；精确倒瓶数及剩余瓶编号采用实际交付文件的回放裁判记录，并由末段仍有直立瓶的画面支持。缺少本次动作的逐时掌球接触力、跟踪误差及足以区分速度、旋转和瞄准影响的对照，因此控制根因不细分；入瓶速度 2.81 m/s 本身没有已验证的成功阈值，不能单凭该值标注出球偏慢。agent 在 log step 106 自述的“速度上限使全中不可达”未被当作任务或环境问题，不能据此排除所有合法方案。",
+  "unmet": {
+   "strike_completed": false
+  }
+ },
+ "summary_zh": "机器人从助走区双掌送出一球并保持站立，球抵达瓶阵，但仅八瓶倒下；投球全中节点最终为 0/1。断点为投球全中，交付文件的多次确定性回放均判 not a strike，视频末段仍有直立瓶，精确倒瓶数由裁判记录补足。现有证据不能单独指认具体运动或接触缺陷，现象层留空；保留控制根因，但具体速度、旋转或方向因素尚不能分清。",
+ "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、时间、断点、contact_actual 与视频和评分器数字一致（球约 6.8–7.2 s 到瓶区，终帧仍有直立瓶，pins_down=8）。唯一问题：失败现象“运动·其他：连锁击倒不足”只是复述 pins_down<10 这一指标（N10），不是可见的运动缺陷。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "节点 final=false、断点、contact_actual、控制根因与空现象层（含 gap_zh）均与视频、评分器数字（pins_down=8、stages 2/3、fell=0）一致；第 1 轮意见已正确落实，未发现新问题。",
+    "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": "2026-10-31T00:47:45Z",
+  "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-bowling-i00-privileged--svlk5hb/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--svlk5hb/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--svlk5hb/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--svlk5hb/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d97f869a42b0359231ea96510c947dd5432f8c15a29972ec668918523963d730",
+   "video_sha256": "90b39193cffa7b0ede05ec89ab379b9492c4295fa1065336608266d77a3b1e2f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--xnyayjs.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--xnyayjs.json
new file mode 100644
index 0000000000000000000000000000000000000000..40610c97cb5e0098a964b02a1cf07fa91fd0ddeb
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--xnyayjs.json
@@ -0,0 +1,173 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-privileged--xnyayjs",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 10,
+   "sim_steps": 10,
+   "horizon": 4000,
+   "episode_over": 0,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 3.49,
+   "bad_trajectory": 0,
+   "metric_pins_down": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 4,
+   "agent_resets": 1,
+   "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": 0.824,
+   "peak_processes": 17,
+   "peak_disk_gb": 0.261,
+   "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-bowling-i00-privileged--xnyayjs/replay.mp4",
+  "duration_s": 0.12,
+  "fps": 25.0,
+  "frames": 3,
+  "sha256": "da2555daaa17e3fd54db7fe7cd5dd7e2014b06fe1153a860dc1405336e79ebea"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 6,
+      "text_zh": "观察：视频 0.00、0.04、0.08 s（全部三帧，含末帧）中，机器人均站在犯规线后的初始位置，双臂停在腰前持球姿态，未见向前送球或球进入球道，远端球瓶仍在瓶台上；投球全中条件始终未成立。仅维持初始姿态，未开始本节点的投球动作，故不列动作接触。"
+     },
+     {
+      "t": null,
+      "log_step": 6,
+      "text_zh": "观察：log step 6 中 agent 的交付脚本调用 Session.hold()，仅执行十次相同保持命令后调用 save_trajectory()；附带说明将其称为初始占位轨迹。评分器字段 n_actions=10、sim_steps=10、stages_reached=0、metric_pins_down=0，与短视频一致。"
+     },
+     {
+      "t": null,
+      "log_step": 190,
+      "text_zh": "观察：log step 129 的会话测试曾报告 delivery 阶段，log step 188—190 仍在启动投球参数扫描并等待；这些测试之后未见再次保存交付轨迹的调用，且测试动作不出现在本次视频中，不能计入节点进度。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": 0.0,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 0.0,
+   "log_step": 6,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 0.00—0.08 s 的全部三帧中，机器人维持初始站立持球姿态，未开始送球；log step 6 保存的脚本只运行十步 hold 命令。推断：评分回放停留在初始保持阶段，失败步骤为投球全中，锚点取视频 0.00 s。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0.0,
+    "log_step": 6,
+    "evidence_zh": "观察：视频 0.00、0.04、0.08 s 未见机器人启动摆臂送球，球未进入球道；log step 6 的已保存轨迹只含十步保持命令，评分器 n_actions=10、episode_over=0。推断：本次交付为未启动投球的占位轨迹，而非一次投球失误。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "已检查 inputs/，没有状态日志；评分视频完整但只有三帧。log step 6 明确保存占位轨迹，log step 188—190 仍在会话测试与等待，但现有记录不足以确定未形成正式投球交付的具体能力根因；会话测试中的控制偏差不能直接作为本次静止回放的失败原因，根因层留空。"
+ },
+ "summary_zh": "评分回放仅含十步初始保持命令，视频 0.00—0.08 s 的全部三帧均未见机器人出球，投球全中未达成，最终为 0/1 节点，倒瓶指标为 0/10。断点为投球全中的首步前，现象为没尝试；log step 129 等会话投球测试未进入交付，不能计作进度。没有状态日志，且记录不足以可靠确定占位轨迹未被替换的具体能力根因，根因层留空。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标签与证据一致：评分回放只有十步 hold（n_actions=10，pins_down=0），视频三帧均无送球；节点未达成，断点首步前/没尝试，根因层留空并有 gap_zh；会话测试未计入进度。",
+    "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": "2026-10-31T00:32:38Z",
+  "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-bowling-i00-privileged--xnyayjs/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--xnyayjs/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "1befa2c1aaa5b5e533a4a0fdd77d1d9c2dd7c8e53fe37bf8403bbc0425d083ae",
+   "video_sha256": "da2555daaa17e3fd54db7fe7cd5dd7e2014b06fe1153a860dc1405336e79ebea",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--zeqwg9e.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--zeqwg9e.json
new file mode 100644
index 0000000000000000000000000000000000000000..a24adbb6fbbbbeb275fb5c04c3836011be285cb1
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-privileged--zeqwg9e.json
@@ -0,0 +1,182 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-privileged--zeqwg9e",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 881,
+   "sim_steps": 881,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 11.12,
+   "bad_trajectory": 0,
+   "metric_entry_angle_deg": -0.41,
+   "metric_entry_speed_m_s": 4.66,
+   "metric_entry_y_m": -0.065,
+   "metric_pins_down": 10.0,
+   "metric_release_speed_m_s": 6.28,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 186,
+   "agent_resets": 1481,
+   "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": 1.603,
+   "peak_processes": 15,
+   "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-bowling-i00-privileged--zeqwg9e/replay.mp4",
+  "duration_s": 8.84,
+  "fps": 25.0,
+  "frames": 221,
+  "sha256": "c78c9ac32dbd862c00cd7d4252c9cc3e5af315b061a43f2165338ad97c867682"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [
+     [
+      8.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.24,
+      "log_step": null,
+      "text_zh": "观察：视频 0.24–0.28 s，紫球随机器人前摆的双臂向前上方移动，视频 0.32 s 球与掌垫已明显分离，随后双臂上抬；机器人双脚仍在犯规线后的助走区。"
+     },
+     {
+      "t": 3.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0.36–3.76 s，已离手的紫球沿木质球道向远端白色球瓶运动；视频约 3.8–4.4 s 球进入瓶阵，瓶阵随后散开、降低。远景分辨率不足以逐瓶量角或精确区分全部十瓶。"
+     },
+     {
+      "t": 8.8,
+      "log_step": 131,
+      "text_zh": "观察：视频 7.8–8.8 s 逐帧检查中，瓶台仅见低伏的白色瓶体，机器人仍以双脚站立；inputs/run.json 的评分器 reward 记录 success=1、replay_success=1、deterministic=1、stages_reached=3/3、metric_pins_down=10、fell=0。log step 130 重新生成最终 881 行轨迹，log step 131 对该文件独立回放返回 success=True、executed_rows=881，与评分器动作数及指标相符。"
+     },
+     {
+      "t": 8.8,
+      "log_step": null,
+      "text_zh": "推断：由视频约 3.8 s 的入瓶事件、DAG 所述首次有效碰瓶后延迟五秒点数，以及评分器的全中成功结果，将投球全中首次成立标在视频约 8.8 s，时间为近似值；此前即使已倒瓶也未完成点数验收。该时刻并非由 agent 工作时间换算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "推断：候选“夹持”。结合开局双掌夹球的已知初态、视频 0.00–0.24 s 的双臂送球动作，机器人左右平掌垫先从两侧夹压紫球；掌垫无闭合手指，故不标抓握。球和内侧掌垫在开局部分被躯干遮挡。"
+     },
+     {
+      "who": "双臂协作",
+      "how": "托/舀",
+      "note_zh": "推断：视频 0.24–0.28 s 紫球随掌垫向前上方运动，近侧掌垫位于球的下后方；结合 log step 100 的双臂镜像关节控制代码及 log step 109、130 对同一生成脚本的更新，机器人在开局夹压后转为双掌共同承托并送出紫球，视频 0.32 s 已离手。远侧掌垫受遮挡，无法逐帧确认两侧各自最后接触的时刻。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–8.80 s，机器人双脚接触犯规线后的木质助走区，承重并支撑双臂送球及之后的等待；末尾逐帧检查未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": 10.0,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人在犯规线后以双掌夹压、承托并前摆送出紫球，球于视频约 0.32 s 离手、约 3.8 s 到达瓶阵，机器人保持站立至结束。评分器记录十瓶全倒且三个原生阶段全部完成，投球全中节点在视频约 8.8 s 的延迟点数时刻成立，最终完成 1/1 个节点。证据缺口：没有状态日志，远端球瓶和远侧掌垫细节受分辨率及遮挡限制，逐瓶判定与合法性以评分器成功结果佐证，完成时刻为近似值。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "strike_completed 在视频约 8.8 s 成立与评分器成功（十瓶全倒、3/3 阶段、fell=0）及视频相符；球约 3.8–4.0 s 入瓶阵，+5 s 约在视频末尾，近似时间已标注。contact_actual 与画面一致，无失败层，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": "2026-10-31T00:33:00Z",
+  "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-bowling-i00-privileged--zeqwg9e/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-privileged--zeqwg9e/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "001ecefd6619f56c2c1d2c69a891afa15773aa8f44f291eca98dd5132893f7ac",
+   "video_sha256": "c78c9ac32dbd862c00cd7d4252c9cc3e5af315b061a43f2165338ad97c867682",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--6x5p58r.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--6x5p58r.json
new file mode 100644
index 0000000000000000000000000000000000000000..783b6edcb9f7317917dfcaa2dca658afad095f3f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--6x5p58r.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-standard--6x5p58r",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "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": 2282,
+   "sim_steps": 74140,
+   "calls": 200,
+   "rows": 5146,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5971.9,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.739,
+   "peak_processes": 9,
+   "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-bowling-i00-standard--6x5p58r/replay.mp4",
+  "duration_s": 22.84,
+  "fps": 25.0,
+  "frames": 571,
+  "sha256": "b23ba32129e58ec26bdab017a0ccec2dadca16968506e0a5bb6875a3e7ac72a4"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.64,
+      "log_step": 742,
+      "text_zh": "观察：视频 0.00–0.60 s 机器人两掌夹住紫色球，约视频 0.64–0.72 s 双臂张开、球与手分离；视频 0.96–1.20 s 球在木质球道上向远端运动，机器人双脚仍在助走区。log step 742 启动最后一次在线投球，区别于此前重置后的调试局。"
+     },
+     {
+      "t": 17.8,
+      "log_step": null,
+      "text_zh": "观察：视频 16.5–17.7 s 紫色球沿画面左侧接近瓶阵，视频 17.8–18.4 s 球进入瓶区、部分白色瓶体发生倾倒和位移，但瓶阵未全部倒下。"
+     },
+     {
+      "t": 22.8,
+      "log_step": 750,
+      "text_zh": "观察：逐帧检查视频 21.80–22.80 s，瓶台仍有多只明显直立的白色球瓶；同相机的成功参考在其视频 9.20–9.68 s 已无此直立瓶阵。log step 750 的在线服务状态为 episode=51、done=True、reason=failed，run.json 的评分字段 live_success=0，与未全中画面一致。"
+     },
+     {
+      "t": 22.8,
+      "log_step": 751,
+      "text_zh": "观察：agent 在 log step 751 自述最终击倒八瓶、留下三号和十号瓶；提供的评分字段没有 pins_down 数值，远景也不足以可靠逐瓶计数，故不把该自述作为原生计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.60 s 左右平掌垫从球的两侧共同夹压并随双臂摆动，随后在视频约 0.64–0.72 s 张开释放。候选：夹持；两掌没有可闭合手指，且无单手包围球体，不适用抓握；远景不能进一步分辨瞬时单掌接触切换。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.20 s 投球时机器人双脚在犯规线后的木质助走区承重；后续保持站立至视频 22.80 s。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": null,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 17.8,
+   "log_step": 742,
+   "where": "操作中",
+   "evidence_zh": "观察：最后一次在线投球对应 log step 742；视频约 17.8 s 球从画面左侧进入瓶阵并造成部分瓶体运动，视频 21.80–22.80 s 仍有多只球瓶直立，投球全中未达成。log step 750 的服务状态确认此局已以 failed 结束。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 17.8,
+    "log_step": null,
+    "evidence_zh": "观察：视频 16.5–18.4 s 紫色球偏向画面左侧进入瓶阵，冲击后只改变部分瓶体的位置和姿态；视频 21.80–22.80 s 瓶台仍保留多只直立瓶体，未形成成功参考中球瓶全部倒下的结果。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 616 的控制脚本以预设肩、肘和躯干目标序列夹球、摆臂和开掌，log step 742 以 torso_aim=-0.01578880 启动最后一局；视频 0.64–1.20 s 球已离手沿球道前进，但视频约 17.8 s 入瓶位置偏向瓶阵一侧，之后仍留下直立球瓶。目标明确为全中，失败落在送球运动的实际效果，支持归于控制；缺乏实际关节跟踪、接触力和离手速度记录，不能确定更细的控制子类或具体错误参数。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志，所提供视频只有场地远景；可确认仍有直立球瓶，但不能可靠识别各瓶编号、精确倾角和倒瓶总数。run.json 的评分字段未报告 pins_down，故该原生指标为 null；agent 在 log step 751 的“八瓶”说法未获逐瓶证据支持。缺少最后一局完整裁判元数据、关节跟踪和接触力记录，无法进一步区分入瓶偏差的具体控制机制。"
+ },
+ "summary_zh": "本次评分为最后一次在线投球：机器人双掌夹压后开掌送球，双脚持续支撑，球抵达瓶阵并撞动部分球瓶，但“投球全中”始终未达成，最终为 0/1 节点。断点在视频约 17.8 s 的入瓶冲击，球偏向瓶阵一侧，末秒仍有多只瓶直立，归为位姿不准及控制问题。远景和评分字段不足以核实精确倒瓶数及更细控制根因，agent 自述的八瓶未作为原生指标。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点在strike_completed、双臂协作/其他与腿支撑的接触、位姿不准与控制根因均与视频一致；球在约15–18 s 缓慢接近并在约18 s 后撞瓶，末帧仍有直立瓶，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": "2026-10-31T00:35:42Z",
+  "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-bowling-i00-standard--6x5p58r/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--6x5p58r/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f565b0e9464ceb932b25b64e3a2e5fd6c112d614a9e8b918dfed653b532feaff",
+   "video_sha256": "b23ba32129e58ec26bdab017a0ccec2dadca16968506e0a5bb6875a3e7ac72a4",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--aydgyd7.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--aydgyd7.json
new file mode 100644
index 0000000000000000000000000000000000000000..9477babe40eae06d013024ba35427429fc4f7a07
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--aydgyd7.json
@@ -0,0 +1,217 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-standard--aydgyd7",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "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": 475,
+   "sim_steps": 20922,
+   "calls": 61,
+   "rows": 3600,
+   "resets": 17,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7154.9,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.502,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.442,
+   "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-bowling-i00-standard--aydgyd7/replay.mp4",
+  "duration_s": 4.76,
+  "fps": 25.0,
+  "frames": 119,
+  "sha256": "7d9be4ee52eece646638e9f54533e0fc098dfc5aa9f2d4a19274538252a69f51"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.32 s，机器人在犯规线后的助走区持紫色球并向前上方摆臂；视频 0.36–0.48 s 球与可见掌垫分开，随后沿球道前进。机器人确实开始了投球。"
+     },
+     {
+      "t": 3.6,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.72 s 逐帧检查中，紫色球沿画面左侧木质球道与灰色沟槽的交界前进，末段越来越贴近沟槽；视频 4.72 s 球仍在瓶阵前，远端白色球瓶仍成组直立，机器人保持站立。未见碰瓶及其后的点数阶段。"
+     },
+     {
+      "t": 4.72,
+      "log_step": null,
+      "text_zh": "推断：本次视频结束前没有形成十瓶全倒且完成碰瓶后点数的结果；结合评分器字段 live_success=0、graded_by_live=1，本步未完成。成功参考在参考视频约 4.5–5.0 s 球到瓶区后仍继续至约 9.7 s，本次不能把单纯送球记为全中。"
+     },
+     {
+      "t": null,
+      "log_step": 243,
+      "text_zh": "观察：log step 241–242 中 agent 将送球脚本改成多次重置的瞄准参数扫描并启动；log step 243 的最后发言只是声称已启动扫描、等待结果，没有给出末次尝试的裁判返回。日志此前各次试验的倒瓶数不能作为本次视频的节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "候选：夹持。视频 0.00–0.12 s 的初始持球阶段，结合任务给定双掌压球初态，左右平掌垫夹压紫色球；掌垫无可闭合手指，不构成抓握。部分内侧接触被躯干遮挡。"
+     },
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "视频 0.16–0.32 s，画面右侧的平掌垫可见位于紫球下后方，随摆臂承托并送球；视频 0.36 s 可见球与该掌分离。另一掌的脱离先后被遮挡，未据此认定全程为单掌出球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "视频 0.00–4.72 s，机器人双脚在犯规线后的助走区承重，摆臂送球后仍站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": null,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 3.6,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 3.60–4.72 s，机器人送出的球沿木质球道左缘前进；视频 4.72 s 球仍在瓶阵前，瓶阵仍直立，机器人保持站立，录像随后结束，未显示入沟、碰瓶或点数结局。inputs/run.json 的 reward.live_success=0、graded_by_live=1。推断：投球全中未完成，断点仍为该步／操作中；视频 3.60 s 仅作偏左球路的导航锚点，不能确定具体判负事件及其时刻。日志未给出末次参数扫描的逐次裁判返回，无法核实该录像对应扫描中的哪次投球；“偏向沟槽后没有修复”不能作为已观察到的失败经过。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 3.6,
+    "log_step": null,
+    "evidence_zh": "观察：视频 1.00–3.60 s，球向远端运动并逐渐靠近画面左侧边缘；视频 3.60–4.72 s 球路偏左，视频 4.72 s 球仍贴近木质球道左缘、尚未到瓶阵，结局未见。推断：送球方向可能偏离有效击瓶球路，暂归位姿不准；这一解释不确定，画面没有显示入沟或错过瓶阵，也不能排除随后击中左侧球瓶但倒瓶不足，评分器的失败字段本身不能确认该现象。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "没有状态日志；仅有场地远景，视频在 4.72 s 的末帧仍显示球位于瓶阵前的球道左缘，缺少后续碰瓶、点数或入沟画面及对应裁判详情。inputs/run.json 的 reward.live_success=0 支持投球全中未完成，但不说明具体判负原因；log step 241–243 记录启动多次重置的参数扫描，未给出逐次裁判返回，无法把录像可靠对应到具体扫描参数或移用早期试验的入沟判词、倒瓶数。位姿不准仅为偏左球路的暂定解释，缺少其导致失败的直接证据；没有本次手球接触、离手速度或关节跟踪记录，原先送球控制失败的因果判断不能确立，根因留空。pins_down 未由本次评分器字段报告，保留 null。"
+ },
+ "summary_zh": "机器人完成持球摆臂和送球，视频 4.72 s 球仍在木质球道左缘、尚未到瓶阵，录像未显示后续结局；结合评分器 live_success=0，投球全中最终为 0/1，断点保留投球全中／操作中。偏左球路暂归位姿不准，但不能据此确认入沟、未击瓶或控制失败，根因留空。因缺少状态日志、投球结局及末次扫描的对应裁判详情，现象和失误时刻存在不确定性，置信度降为 4；先前试验的倒瓶数不计入本次进度。",
+ "conf": 4,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点 strike_completed=false、断点 strike_completed/操作中 与评分器字段（live_success=0）一致，未见 WHERE 错误。但视频（4.76 s）在球到达瓶阵之前就结束，球在 4.72 s 仍在木质球道内的左缘，并未入沟；\"球路偏向沟槽后没有修复\"及位姿不准/控制根因超出了画面所能支持的程度，conf 7 偏高。",
+    "n_issues": 3,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点未完成、断点（投球全中/操作中）与评分器 live_success=0 一致；视频 4.76 s 在结局前截止，文件已把球路偏左与位姿不准标为不确定推断、根因留空并说明缺口，未见需要修改的错误。",
+    "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": "2026-10-31T00:47:59Z",
+  "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-bowling-i00-standard--aydgyd7/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--aydgyd7/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--aydgyd7/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--aydgyd7/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f3bd3b6e513034063faa2ec854f4d14623e555d49e736047672c6c00f94e1a2a",
+   "video_sha256": "7d9be4ee52eece646638e9f54533e0fc098dfc5aa9f2d4a19274538252a69f51",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--d3sfheq.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--d3sfheq.json
new file mode 100644
index 0000000000000000000000000000000000000000..3cb9796b5accc50f83e24fad0f1552f0fa40add9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--d3sfheq.json
@@ -0,0 +1,186 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-standard--d3sfheq",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "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": 1393,
+   "sim_steps": 57336,
+   "calls": 317,
+   "rows": 202,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3976.4,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.349,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.916,
+   "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-bowling-i00-standard--d3sfheq/replay.mp4",
+  "duration_s": 13.96,
+  "fps": 25.0,
+  "frames": 349,
+  "sha256": "1a6ced533abc117473b03163830686b83466a9de93bc2831485a0ef52c73ae1b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.12,
+      "log_step": 195,
+      "text_zh": "观察：视频 0.00–0.08 s，机器人双掌在髋前夹着紫色球并向前摆臂；视频 0.12–0.20 s，球已与双掌分离，随后沿木质球道向瓶阵运动。log step 195 启动最后一次重置后的投球，log step 196 服务返回 episode 51；此前各次重置属于会话试验，不计入本段视频。"
+     },
+     {
+      "t": 9.0,
+      "log_step": null,
+      "text_zh": "观察：视频 8.80–10.00 s 的瓶区裁剪画面中，球到达瓶阵，画面右侧部分球瓶倒下或移开，左中仍有多只白色球瓶直立；视频 12.92–13.92 s 逐帧检查仍见这些直立球瓶，机器人双脚始终支撑身体。"
+     },
+     {
+      "t": 13.92,
+      "log_step": 196,
+      "text_zh": "观察：log step 196 中机器人在线服务的最终裁判状态为 episode 51、done=true、outcome=\"not a strike\"、stages_reached=2/3，表示合法送球与碰瓶已达成但全中未达成；其 control_steps=1393、sim_time_s=13.93。视频 13.92 s 的终帧仍见直立球瓶，与该裁判结果一致，因此投球全中从未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.08 s，左右平掌共同夹压髋前紫色保龄球并向前送球，随后双掌离球。候选：夹持；两只平掌之间的夹压没有单手合拢包围或手指闭合，现有“抓握”不适用。球离手后由球与球瓶碰撞造成局部倒瓶。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–13.92 s，机器人双脚接触助走区承重，在送球和随后等待球瓶点数期间保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": null,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 9.0,
+   "log_step": 196,
+   "where": "操作中",
+   "evidence_zh": "观察：机器人在视频 0.12–0.20 s 已送出球，视频约 8.9–10.0 s 球进入瓶阵后仅造成局部倒瓶，左中多瓶保持直立且至视频 13.92 s 未修复；log step 196 的最终在线裁判判为“not a strike”、阶段 2/3。断点为这次投球全中步骤，视频约 9.0 s 用作入瓶结果开始显现的导航锚点。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "其他",
+    "t": 9.5,
+    "log_step": 196,
+    "evidence_zh": "观察：视频 8.80 s 的瓶阵与视频 9.48、10.00、12.00、13.92 s 对比，瓶阵画面右侧有球瓶倒下或离开，左中仍留有一组直立球瓶，未出现扫倒整阵的连锁碰撞。log step 196 的服务裁判同时确认已碰瓶但非全中。",
+    "note_zh": "候选：局部漏击。球确实接触并击倒部分目标，不能标“没建立接触”；远景不足以区分入瓶位姿偏差与撞击动量不足，也无力传感证据，故不强选“位姿不准”或“接触力异常”。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "观察：inputs/ 提供本次及成功参考视频、运行日志，但没有状态日志；本次视频只有 640×360 场地远景，瓶阵很小且互相遮挡，原生裁判未报告 pins_down 数值、逐瓶状态、入瓶速度或角度。推断：可以确认局部倒瓶和全中失败，不能可靠数出倒瓶总数，或确定主要原因是入瓶位置、角度、速度还是释放接触细节；根因层留空。log step 195 的参数调整意图与早先试验不能单独证明最终投球的具体控制缺陷。",
+  "unmet": {
+   "strike_completed": false
+  }
+ },
+ "summary_zh": "观察：本次评分对应最后的 episode 51，机器人从线后送出紫色球并保持站立，在线服务裁判确认合法送球与碰瓶达到 2/3 阶段；视频 13.92 s 仍有多只球瓶直立，“投球全中”节点最终为 0/1。观察：视频约 9.0–10.0 s 出现局部倒瓶而左中瓶群仍直立，断点为投球全中步骤的操作中；缺少逐瓶状态和入瓶运动数据，无法进一步确定漏击的控制根因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未达成、断点（投球全中·操作中）、双臂协作/其他接触与脚部支撑均与视频和 log step 196/197 的裁判结果（not a strike，2/3）一致；局部漏击现象与留空根因有证据支持，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": "2026-10-31T00:33:32Z",
+  "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-bowling-i00-standard--d3sfheq/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--d3sfheq/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
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+   "video_sha256": "1a6ced533abc117473b03163830686b83466a9de93bc2831485a0ef52c73ae1b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
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+ }
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diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--rsflhfc.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--rsflhfc.json
new file mode 100644
index 0000000000000000000000000000000000000000..9c66ea4b3cec944dc96d2f7857d8538eb66082ac
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--rsflhfc.json
@@ -0,0 +1,191 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-standard--rsflhfc",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "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": 65,
+   "sim_steps": 13370,
+   "calls": 222,
+   "rows": 2430,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3756.7,
+   "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-bowling-i00-standard--rsflhfc/replay.mp4",
+  "duration_s": 0.68,
+  "fps": 25.0,
+  "frames": 17,
+  "sha256": "8225e88e51cfdec2fd7d83774729baa209e9ad2dba02108e5dd7187a1f47f74c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.64 s 的全部 17 帧中，机器人站在助走区，紫色球留在髋前双掌附近；视频 0.48–0.64 s 双臂向内收拢，球没有沿球道飞出或滚出，远端球瓶未受球撞击。未出现投球全中的验收结果。"
+     },
+     {
+      "t": 0.64,
+      "log_step": 82,
+      "text_zh": "观察：log step 82 的机器人在线服务先报告 reset 到 episode 6，随后报告 done=True、outcome=\"the ball touched a part other than the hands before the release\"、stages_reached=0/3、control_steps=65，且 resets_left=0；这是最后一次受评尝试，与视频 0.64 s 球仍在身体前方的末帧相符。前五次尝试的投球或滑落不计入本次节点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.64 s 左右平掌共同夹压紫色保龄球，末段双臂继续内收。候选：夹持；平掌没有能闭合包围球的手指，不标抓握。log step 82 的裁判还确认离手前球接触了非手部位，具体部位在此视角中不能辨清。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.64 s 机器人双脚接触助走区并支撑身体，配合髋前双掌夹球，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": null,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 0.64,
+   "log_step": 82,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.48–0.64 s 机器人在双掌夹球准备送球时向内收臂，球仍在身体前方；log step 82 的最后一次在线尝试（episode 6）由服务裁判以“离手前球接触非手部位”立即判负，阶段为 0/3。投球已开始准备，但尚未合法送出，之后没有修复。视频 0.64 s 是末段接触事件的导航锚点，细微接触本身由服务裁判确认。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "约束",
+    "item": "违反约束",
+    "t": 0.64,
+    "log_step": 82,
+    "evidence_zh": "观察：log step 82 的 episode 6 服务裁判明确报告“the ball touched a part other than the hands before the release”，即违反出手前碰身（pre_release_body_touch）规则；视频 0.48–0.64 s 可见双臂内收且球没有送出。远景不能分辨碰身的具体部位，也未显示可独立确认的阻挡、滑脱或跌倒，故不另加这些现象。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "已验证有",
+    "log_step": 80,
+    "evidence_zh": "推断：log step 80 的已执行代码将左右肩偏航目标设为相反方向的 2.0 rad、左右腕偏航目标设为相反方向的 1.27 rad，并在摆臂前加入持续内压的夹球动作；log step 82 执行该版本，服务随即确认离手前非手部触球，视频 0.48–0.64 s 也显示内收臂而球仍贴近身体。所选夹持接触布局把球带入了不允许的身体接触，故归入接触设计，而非仅凭失败猜测感知或参数错误。agent 在 log step 83 自述球被压到前臂，具体前臂接触仍待核实。可行替代由成功参考佐证：inputs/oracle/oracle.json 的 success=1，参考视频约 0.5–1.0 s 可见从同类开局双掌持球姿态将球向球道送出；这只证明存在合法替代，不作为本次进度证据。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "已逐帧检查完整受评视频，但只有场地远景，球与掌、前臂和躯干的局部接触受本体遮挡，且本任务未提供状态日志，不能独立确认裁判所指的具体非手部位、接触力或精确触碰时刻；“压到前臂”仅为 agent 在 log step 83 的自述。原生 pins_down 数值未由评分字段或最后一次服务结果报告，故保留 null。"
+ },
+ "summary_zh": "最后一次受评尝试只完成髋前双掌夹球及内收准备，未合法送球，投球全中节点最终为 0/1。视频 0.48–0.64 s 的内收动作与 log step 82 的裁判结果相符：离手前球接触非手部位，尝试立即终止；代码中的持续内压夹持布局支持控制·抓取和接触设计归因。具体碰身部位被遮挡，前臂说法仅来自 agent 自述，原生倒瓶数未报告。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与证据一致：最后一次受评尝试（episode 6）被服务裁判以离手前非手部触球判负，节点 0/1，断点在 strike_completed，违反约束现象与抓取和接触设计归因有 log step 80/82 与成功参考支撑；具体碰身部位在远景中不可辨，文件已如实声明。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
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+  "effort": "high",
+  "created": "2026-10-31T00:47:46Z",
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+   },
+   {
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+    "ok": true,
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+  ],
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+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
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+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--xwpktq7.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--xwpktq7.json
new file mode 100644
index 0000000000000000000000000000000000000000..d4feccf39bf2682a14d18cdcaeac1e22d2e20e85
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--xwpktq7.json
@@ -0,0 +1,193 @@
+{
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+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-standard--xwpktq7",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
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+   "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-bowling-i00-standard--xwpktq7/replay.mp4",
+  "duration_s": 29.32,
+  "fps": 25.0,
+  "frames": 733,
+  "sha256": "86aa2643a83254d74a372b06fffd9cc053ab5bd172f77d782d5971d3884b4e0c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.12,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.08 s，机器人在髋前以双掌接触紫色球；视频 0.12 s 双掌已抬起并与球分开，球随后落到近处木质球道，视频 0.60–23.80 s 沿球道缓慢向瓶区滚动。"
+     },
+     {
+      "t": 24.4,
+      "log_step": 285,
+      "text_zh": "观察：视频 24.00–25.20 s，紫色球到达瓶阵前部，局部球瓶有移动，但后排仍见多只白色红颈球瓶直立；视频 28.32–29.28 s 末段仍有直立球瓶，机器人始终站在助走区。log step 285 中机器人服务返回 outcome=\"not a strike\"、stages_reached=2/3、control_steps=2929；这是 log step 284 启动的最后一次尝试，log step 286 确认为 episode=50、done=true，与本视频一致。"
+     },
+     {
+      "t": 29.28,
+      "log_step": 285,
+      "text_zh": "推断：最终在线尝试已通过送球及有效碰瓶阶段，但在碰瓶后的点数验收未全中，因此“投球全中”从未成立。视频 29.28 s 仍有直立球瓶，与裁判的 not a strike 相符；不从 reward=0 单独推断未投球。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.08 s，左右平掌在髋前从两侧夹压同一紫色保龄球，随后双臂摆动、掌球分离。候选：夹持；两只无手指掌垫不各自包围物体，故不适用抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–29.28 s，机器人双脚接触木质助走区承重，送球及等待倒瓶期间保持站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": null,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 24.3,
+   "log_step": 285,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 24.20–24.60 s，缓慢滚行的紫色球进入瓶阵前部后，未引发整排球瓶连锁倾倒；视频 29.28 s 仍见直立球瓶。log step 285 的机器人服务最终返回 not a strike、stages_reached=2/3。断点锚在这次未能造成全中的碰瓶附近，时间约有 0.3 s 不确定性。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "其他",
+    "t": 24.3,
+    "log_step": 285,
+    "note_zh": "候选：出球速度不足。球已到达并有效接触球瓶，主要可见问题是缓慢入瓶、未产生足够的连锁倒瓶；不是没有接触，也没有证据证明单纯位置偏差，现有条目不能准确描述这一速度表现。",
+    "evidence_zh": "观察：视频 0.12 s 球已离掌，视频 0.60–23.80 s 球缓慢滚过球道，约视频 24.30 s 才接触瓶阵；视频 24.40–29.28 s 瓶阵只发生局部变化，仍有多只瓶直立。推断：这次送球的入瓶速度不足以产生所需的全中倒瓶链；未测量具体速度或冲量。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "视频 / 日志",
+    "evidence_zh": "推断：机器人双臂送球与离手动作未给球形成足够有效的前向运动；视频 0.00–0.52 s 可见双掌迅速抬离、球落在机器人近处，随后至视频约 24.30 s 才缓慢到瓶阵。log step 279、283 中 agent 自述正在保留出球动作并微调入瓶方向，log step 284–285 执行最后版本仍得到 not a strike，支持送球控制未调成，而非目标理解错误。日志未保留最后几次 edit 的完整补丁，无法进一步归到某个已证实错误的参数或接触几何。"
+   }
+  ],
+  "gap_zh": "无状态日志；视频只有 640×360 场地远景，远端瓶子重叠且像素很少，无法可靠逐瓶计数或测量倾角、入瓶速度和接触冲量，原生 pins_down 数值也未报告，故该指标留 null。最后几次脚本修改仅记录为 edit，缺少完整内容，控制根因不细分。成功参考的同一远景在参考视频 9.64 s 可见瓶台已无成排直立瓶，但参考不作为本次尝试的倒瓶证据。"
+ },
+ "summary_zh": "最终评分尝试中，机器人双掌夹球后送出，球沿球道滚到瓶阵，裁判记录送球和碰瓶两阶段完成，但“投球全中”节点始终未达成，最终为 0/1。视频约 24.30 s 的入瓶缓慢，未产生全中所需的连锁倒瓶，至视频 29.28 s 仍有多只瓶直立；根因归为送球控制未调成。无状态日志且仅有远景，倒瓶个数、入瓶速度及具体控制子因无法精确确定。",
+ "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、日志一致：最终评分尝试（log step 284–285，control_steps=2929，not a strike，stages 2/3）球离手后缓慢滚到瓶阵，视频 29.28 s 仍有直立球瓶，节点未达成、断点与时间可接受；现象“出球速度不足”有视频依据（对照成功参考球约 3–4 s 即到瓶阵，本次约 24 s），根因停在“控制”未细分也符合分类规则。",
+    "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": "2026-10-31T00:47:59Z",
+  "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-bowling-i00-standard--xwpktq7/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--xwpktq7/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "2a5cf4d35e9a96943300309d39f6de5d3bf71bed99e947fecc0e2547ac51a0f8",
+   "video_sha256": "86aa2643a83254d74a372b06fffd9cc053ab5bd172f77d782d5971d3884b4e0c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--yyaavju.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--yyaavju.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a1407966a9730ab58eb3e4c45cfca1408ad2454
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--yyaavju.json
@@ -0,0 +1,202 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-standard--yyaavju",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "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": 1455,
+   "sim_steps": 33483,
+   "calls": 232,
+   "rows": 17812,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5504.0,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.539,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.516,
+   "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-bowling-i00-standard--yyaavju/replay.mp4",
+  "duration_s": 14.56,
+  "fps": 25.0,
+  "frames": 364,
+  "sha256": "b0735882ed7f498ef9b477500704cd99a7e2f8580db22bfce435bdec1bec0979"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0 s 球仍在机器人髋前双掌之间，远端球瓶组直立，投球全中条件尚未成立。"
+     },
+     {
+      "t": 1.36,
+      "log_step": 313,
+      "text_zh": "观察：视频 1.08–1.24 s 机器人双掌共同承托紫球向前上方摆动，视频 1.36–1.48 s 球与双掌明显分离并向球道飞出；机器人双脚留在犯规线后的助走区。log step 313 执行最后一次重置后的 throw24 投球，随后没有再重置。"
+     },
+     {
+      "t": 10.3,
+      "log_step": null,
+      "text_zh": "观察：视频 9.8–10.6 s 球进入瓶区画面偏右部分，部分球瓶倾倒，而画面左侧仍有直立球瓶；视频 11.6 s 及视频 13.6–14.52 s 的末尾画面仍可见直立瓶形，机器人保持站立。"
+     },
+     {
+      "t": 14.52,
+      "log_step": 314,
+      "text_zh": "观察：log step 314 的机器人仿真服务返回 done True、outcome 为 not a strike、reason 为 failed；这是 log step 313 最后一次在线投球的裁判结果，与视频末尾仍有直立球瓶一致。成功参考视频 7.0–9.5 s 则可见瓶台上已无直立瓶形；本次没有达到该结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.0–0.3 s 左右掌垫在髋前两侧共同夹住紫球。候选：夹持；两块平掌垫对压，单手没有合拢包住球，故不标抓握。"
+     },
+     {
+      "who": "双臂协作",
+      "how": "托/舀",
+      "note_zh": "观察：随后双掌转成朝上的承托姿态，视频 0.8–1.24 s 球位于两掌上方并随双臂前摆升高，约视频 1.3 s 离手；此承托发生在开局夹持之后。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–14.52 s 双脚在犯规线后的助走区承重，送球和等待碰瓶期间机器人始终站立。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": null,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 10.3,
+   "log_step": 314,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 10.0–10.6 s，机器人送出的球从瓶组画面偏右处进入，部分球瓶倒下，另一侧仍有球瓶直立；视频 14.52 s 仍未清空瓶台上的直立球瓶。log step 314 的仿真服务裁判对这次最终在线投球返回 not a strike，因此失败步骤为投球全中。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 10.3,
+    "log_step": 314,
+    "evidence_zh": "观察：视频 9.8–10.6 s 球沿画面偏右的入瓶线路撞入球瓶组，只带倒部分球瓶，画面左侧的直立瓶形保留至视频 14.52 s；log step 314 裁判返回 not a strike。推断：此次送球的入瓶位置和方向未形成全中所需的碰撞效果。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 313 的最终控制脚本将躯干偏航目标设为 -0.055，并执行固定摆臂、开掌和制动轨迹；视频 1.36 s 可见球已正常送离双掌，视频 10.0–11.6 s 却见入瓶碰撞集中于画面偏右部分，另一侧球瓶仍站立。证据支持送球轨迹的控制未达到所需入瓶效果；不足以细分为具体增益、速度、旋转或反馈问题。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "本次视频仅有场地远景，无状态日志，评分器字段也未报告 pins_down 数值；无法可靠数清具体倒瓶总数、逐瓶身份，或测定入瓶速度、旋转和精确接触力。因此原生倒瓶数留为 null，控制根因不细分；不将 agent 在 log step 317、320 自述的“约 7–8 瓶倒下”当作评分器计数。"
+ },
+ "summary_zh": "最后一次评分投球中，机器人由双掌夹持转为承托并将球送入球道，保持站立，球到达瓶区并带倒部分球瓶，但“投球全中”节点始终未完成，终态为 0/1。视频约 10.0–10.6 s 可见入瓶碰撞偏于画面一侧，末尾仍有直立球瓶，log step 314 裁判确认 not a strike，支持位姿不准及控制层面的失败。远景和缺少逐瓶状态使准确倒瓶数及更细控制原因无法确定，早先重置试验中的跌倒和入沟不计入本次评分轨迹。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标注与视频一致：球约 1.4 s 离手，约 8–10.6 s 到达瓶区，部分球瓶倒下，末尾仍有直立瓶，节点未完成，终态 0/1，断点与位姿不准、控制归因有据且未过度细分。",
+    "n_issues": 0,
+    "n_major": 0
+   }
+  ],
+  "open_zh": []
+ },
+ "provenance": {
+  "prompt": "prompts/03_trajectory.md",
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+  "effort": "high",
+  "created": "2026-10-31T00:33:27Z",
+  "review_prompt": "prompts/04_trajectory_review.md",
+  "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+  "calls": [
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+    "round": 0,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--yyaavju/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--yyaavju/04_review_r1"
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+  ],
+  "review_engine": "claude",
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+  "inputs": {
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+   "video_sha256": "b0735882ed7f498ef9b477500704cd99a7e2f8580db22bfce435bdec1bec0979",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--z8v7dg3.json b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--z8v7dg3.json
new file mode 100644
index 0000000000000000000000000000000000000000..d79fc6be38c8db445528be6b2588e3fe5c03b678
--- /dev/null
+++ b/phase2/embodied-olympics-fun/bowling/trajectories/embodied-olympics-fun-bowling-i00-standard--z8v7dg3.json
@@ -0,0 +1,193 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-bowling-i00-standard--z8v7dg3",
+ "taskKey": "embodied-olympics-fun/bowling",
+ "dag_sha256": "958dbc6f1b15aea49b7fbb6f67f6fe11ebb2ebd0b8c66ca9ec74face659152c2",
+ "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": 1465,
+   "sim_steps": 55615,
+   "calls": 272,
+   "rows": 6585,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 2764.0,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.481,
+   "peak_processes": 12,
+   "peak_disk_gb": 1.815,
+   "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-bowling-i00-standard--z8v7dg3/replay.mp4",
+  "duration_s": 14.68,
+  "fps": 25.0,
+  "frames": 367,
+  "sha256": "853ef7bf6a2fa7070079b3febd692a2484f9f4e141356178164d0db382e8b248"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "strike_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.52 s，机器人站在犯规线后，紫球保持在髋前两只平掌之间；视频 0.56–0.64 s 双臂前摆，球与双掌分离，随后落到木质球道并向瓶阵滚动。"
+     },
+     {
+      "t": 9.64,
+      "log_step": 153,
+      "text_zh": "观察：视频 9.28–10.40 s，紫球从瓶阵画面左侧进入，部分球瓶倾倒，仍有多根白色瓶身直立。log step 153 是最后一次在线尝试 fin.json，机器人服务返回 stages_reached=2、outcome=\"not a strike\"、episode=51、control_steps=1465，与评分记录 n_actions=1465 及本段视频相符；前面的重置测试不计入本次进度。"
+     },
+     {
+      "t": 14.64,
+      "log_step": 153,
+      "text_zh": "观察：视频 13.68–14.64 s 的末段密集帧仍显示多只球瓶直立，机器人双脚站在助走区，未见跌倒；log step 153 的服务终局为 not a strike、2/3 阶段。推断：本次合法送球与有效碰瓶已经完成，但碰瓶后的点数未达到十瓶全倒，投球全中节点始终未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.56 s，左右平掌从两侧共同夹压紫球并随双臂前摆送出。候选：夹持；两只平掌之间的夹压没有单手包围或夹爪闭合，不符合抓握，故按 D12 使用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–14.64 s，机器人双脚接触助走区承重，配合双臂送球，随后保持站立等待倒瓶结果。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "pins_down",
+   "value": null,
+   "unit": "个",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "strike_completed",
+   "t": 9.64,
+   "log_step": 153,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 9.6 s，机器人送出的紫球进入瓶阵的一侧，只引发局部倒瓶；视频 10.4–14.64 s 仍有多只瓶直立，未形成全中。log step 153 的最后一次在线尝试由机器人服务判为 not a strike、stages_reached=2/3；失败发生在投球全中这一步，非前面重置测试中的入沟或跌倒。"
+  },
+  "unmet": {
+   "strike_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 9.64,
+    "log_step": 153,
+    "evidence_zh": "观察：视频 9.28–10.40 s 的瓶区连续帧中，紫球由画面左侧切入瓶阵，局部瓶身倒下，画面右侧仍保留多根直立白色瓶身；视频 14.64 s 这些残瓶仍未倒下。推断：面对静止瓶阵，这次入瓶路径偏侧，未产生覆盖全阵的撞击结果，记为位姿不准；不把主动送球离手记成没保持住。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "log_step": 153,
+    "evidence_zh": "推断：送球的方向和速度控制未产生全中所需的入瓶运动。log steps 151–152 显示 agent 脚本采用固定的双肩加速、前臂转动与张臂时序；log step 153 的脚本视觉追踪估计滚动速度约 2.05 m/s，并估计球在 x≈18.45 米处横向 y≈0.15 米（这些是 agent 的估计，非原生状态）。视频 0.56–9.64 s 可核对球离手后缓慢滚向瓶阵并偏侧入瓶、留下残瓶；agent 在 log step 155 自述无法稳定瞄准。证据支持送球控制不足，但不能区分接触布局、轨迹跟踪或具体参数哪个是主要原因，故停留在控制大项。"
+   }
+  ],
+  "gap_zh": "无状态日志，所提供的本次视频只有场地远景；虽可见残瓶，无法可靠逐瓶计数或测量碰撞速度、旋转和接触力。run.json 的 reward 与最终服务输出未报告 pins_down 数值，故原生指标留 null；agent 的视觉估计不足以分离球速与横向偏移对残瓶的贡献，也不支持其“无法投得更快”的物理上限说法。"
+ },
+ "summary_zh": "评分对象是最后一次在线投球：机器人双掌夹球前摆，约视频 0.6 s 离手、视频 9.6 s 有效碰瓶，但至视频 14.64 s 仍有多只球瓶直立，投球全中未完成，节点终值 0/1。断点为投球全中的操作中，偏侧入瓶表现为位姿不准，结合固定送球脚本与最终日志推断为控制不足。远景及无状态日志限制了逐瓶计数和球速、旋转、落点贡献的细分，pins_down 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": "节点未达成（0/1）、断点、位姿不准与控制大项均与视频及 log step 153 的服务读数（not a strike、2/3 阶段）一致；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": "2026-10-31T00:33:58Z",
+  "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-bowling-i00-standard--z8v7dg3/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-bowling-i00-standard--z8v7dg3/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b99759783a2b7606d78e6d7bdefb2bfa5a5f9d9307ec0cbd47eea6b1617a2c09",
+   "video_sha256": "853ef7bf6a2fa7070079b3febd692a2484f9f4e141356178164d0db382e8b248",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--87ojykg.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--87ojykg.json
new file mode 100644
index 0000000000000000000000000000000000000000..ab6313dd3489f6076f3990c6769baf430d132d00
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--87ojykg.json
@@ -0,0 +1,198 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-privileged--87ojykg",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "outcome": {
+  "success": 0,
+  "reward": 0.75,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1220,
+   "sim_steps": 1220,
+   "horizon": 4000,
+   "episode_over": 0,
+   "progress": 0.75,
+   "stages_reached": 3,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 13.36,
+   "bad_trajectory": 0,
+   "metric_air_s": 1.705,
+   "metric_from_knoll_m": 0.99,
+   "metric_height_m": 2.54,
+   "metric_speed_m_s": 15.569,
+   "metric_trick_flip_deg": 16.4,
+   "metric_trick_flips": 0.0,
+   "metric_trick_half_turns": 2.0,
+   "metric_trick_pelvis_spin_deg": 278.7,
+   "metric_trick_short_deg": 50.6,
+   "metric_trick_spin_deg": 410.6,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 52,
+   "agent_resets": 33,
+   "agent_replays": 0,
+   "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-freeski-360-i00-privileged--87ojykg/replay.mp4",
+  "duration_s": 12.24,
+  "fps": 25.0,
+  "frames": 306,
+  "sha256": "229f78dacc32fcd75206db661e6e538b2dcc8157e55df097a0a64bcbbffbce94"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": null,
+      "text_zh": "观察：inputs/run.json 的评分器 reward 报告 stages_reached=3、stages_total=4、progress=0.75、success=0、replay_success=0、episode_over=0、fell=0；交付轨迹含1220个动作，deterministic=1、bad_trajectory=0。评分器记录空中雪板转角410.6度、空翻数0。"
+     },
+     {
+      "t": null,
+      "log_step": null,
+      "text_zh": "推断：结合DAG规定的起滑、起跳、落地、滑出顺序与评分器仅接受三个阶段，交付轨迹未完成受控滑出终点，故完整事件节点从未达成、final=false；原生0.75不是该单节点的完成比例。"
+     },
+     {
+      "t": 12.2,
+      "log_step": null,
+      "text_zh": "观察：逐0.5秒检查视频全程，并密查视频10.0–12.2 s及视频12.20 s最后一帧，画面均是固定雪场远景，近景坡面遮住主要运动区域，无法可靠辨认机器人及雪板；成功参考视频的全程抽帧与参考视频17.48 s帧也有同样的可见性缺口。不能从这些空景判断转体、落地接触或过线的时刻，节点值依据本次评分器字段。"
+     },
+     {
+      "t": null,
+      "log_step": 128,
+      "text_zh": "观察：agent在log step 128编写的调参脚本于done或phase等于landed时检查结果，仅在landing阶段已接受且落地评分改善时调用save_trajectory，随后break；log step 114和124也按落地阶段保存候选。它们是会话保存逻辑，未提供可与本次视频逐事件核对的最终候选状态记录。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频0.0–12.2 s无法可靠辨认机器人双靴、雪板与雪面的接触，且本次没有状态日志；不能把DAG的腿/躯干经雪板支撑方案直接当作已观察接触。评分器的阶段进度说明已有动作尝试，故保留未知接触而非省略。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "value": 410.6,
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target"
+  },
+  {
+   "name": "landing_heading_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better"
+  },
+  {
+   "name": "ride_turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "推断：本次评分器reward的三个已接受阶段及410.6度转体、0次空翻记录表明连续大跳台动作已有进展，但完整转体落地滑出事件尚未完成；episode_over=0且fell=0，并无已报告的摔倒终止。断点定位到这一唯一动作步骤，视频0.0–12.2 s无法辨认机器人，不能定位物理失误瞬间，故t=null。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [],
+  "root_causes": [],
+  "gap_zh": "观察：本次inputs/内有视频和运行日志，但没有状态日志；视频全程抽帧、视频10.0–12.2 s密查及最后一帧均无法可靠辨认机器人，成功参考也不能补足本次动作证据。评分器未报告landing_heading_deg或ride_turn_deg，二者保留null；会话log step 119的落地方向错误属于另一调参试验，不能移植到本次交付。log step 134为提供方过滤中断，发生在agent继续调参且没有完整成功验收记录时；reward报告agent_replays=0、episode_over=0，不能证实过滤前已固定完整结果，因此保留这一外因中断信息，不把中断或未滑出本身归成机器人现象或根因。推断：现有证据只足以判定完整节点未达成，不足以区分姿态、平衡、滑行控制或保存选择的责任，也不能给出视频断点时间，故两层均为空。"
+ },
+ "summary_zh": "评分器记录本次交付达到起滑、起跳、落地三个原生阶段，雪板空中转角410.6度且空翻数为0，但未完成受控滑出，DAG完整节点最终为0/1。视频全程及末段均无法可靠辨认机器人，接触和物理失误时刻无法核实；会话最后在log step 134被提供方过滤中断，未见完整结果验收，故不臆造机器人失败现象或根因。",
+ "conf": 6,
+ "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：视频全程为固定远景、近景坡面遮挡运动区，看不到机器人；节点final=false、断点定位到唯一节点、两层为空并有gap_zh，均由评分器字段（stages 3/4、success=0）支持，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": "2026-10-31T00:45:40Z",
+  "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-freeski-360-i00-privileged--87ojykg/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--87ojykg/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "228984e4e405f48d3624abcdef9d71c3ca3ab650d7104b30fdc05d34a79c8c3f",
+   "video_sha256": "229f78dacc32fcd75206db661e6e538b2dcc8157e55df097a0a64bcbbffbce94",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--bcpa6ao.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--bcpa6ao.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d0c143766c313bc6fab102cd4960a54b61c9e0f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--bcpa6ao.json
@@ -0,0 +1,202 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-privileged--bcpa6ao",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "outcome": {
+  "success": 0,
+  "reward": 0.75,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1557,
+   "sim_steps": 1557,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.75,
+   "stages_reached": 3,
+   "stages_total": 4,
+   "fell": 1,
+   "replay_s": 15.32,
+   "bad_trajectory": 0,
+   "metric_air_s": 1.443,
+   "metric_from_knoll_m": -3.61,
+   "metric_height_m": 1.93,
+   "metric_speed_m_s": 13.399,
+   "metric_trick_flip_deg": 70.3,
+   "metric_trick_flips": 0.0,
+   "metric_trick_half_turns": 2.0,
+   "metric_trick_pelvis_spin_deg": 249.1,
+   "metric_trick_short_deg": 1.3,
+   "metric_trick_spin_deg": 361.3,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 238,
+   "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,
+   "peak_memory_gb": 3.344,
+   "peak_processes": 15,
+   "peak_disk_gb": 0.29,
+   "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-freeski-360-i00-privileged--bcpa6ao/replay.mp4",
+  "duration_s": 15.6,
+  "fps": 25.0,
+  "frames": 390,
+  "sha256": "d2e7e5856613f4e3393152db38cf4def803c55851d1e45c87539770cb197864d"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 15.56,
+      "log_step": null,
+      "text_zh": "观察：已检查本次视频全程逐秒远景，以及视频 0.00 s、3.56 s、14.12 s 原分辨率帧和视频 14.56–15.56 s 的全部逐帧画面；近景雪坡遮挡主要动作区域，只能辨认场地及极小的暗点，无法可靠辨认机器人姿态、雪板转体、落地接触或越线。成功参考视频全程逐秒画面和视频 17.52 s 帧也有相同可见性缺口，不能用本次画面中未见动作独立判定未完成。"
+     },
+     {
+      "t": null,
+      "log_step": 139,
+      "text_zh": "观察：inputs/run.json 的评分器字段为 success=0、replay_success=0、deterministic=1、stages_reached=3/4、fell=1、metric_trick_spin_deg=361.3、metric_trick_flips=0；log step 139 重新运行并保存交付生成脚本，服务结果也为 start、take-off、landing 三阶段和 failed=fell，动作总数1557与评分记录相同。"
+     },
+     {
+      "t": null,
+      "log_step": 139,
+      "text_zh": "推断：评分器明确未接受 ride-away，且整套动作是仅在受控滑出后才锁存的唯一 event 节点，因此该节点从未完整达到、终值为 false；原生3/4阶段不折算为DAG节点进度。此结论依赖评分结果，不将会话测试中的落地宣称当作视觉完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：本次视频全程远景及视频 14.56–15.56 s 逐帧画面均不能可靠辨认双靴、雪板或身体的触雪关系，且未提供状态日志；实际作用端和接触方式无法核实，不照抄任务级支撑方案。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "value": 361.3,
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target"
+  },
+  {
+   "name": "landing_heading_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better"
+  },
+  {
+   "name": "ride_turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 139,
+   "where": "操作中",
+   "evidence_zh": "推断：本任务只有“转体落地滑出”一个连续动作节点。评分器在 inputs/run.json 报告三阶段完成后 fell=1，未完成第四阶段；log step 133、139 的交付生成及保存过程同样报告落地后 failed=fell，故失败发生在该节点的落地滑出过程中。视频 14.56–15.56 s 逐帧检查不能辨认摔倒瞬间，未把日志中的仿真时间直接写成视频断点时间。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 129 保存所选控制器轨迹时，脚本诊断输出的骨盆竖轴水平分量由仿真 15.11 s 的(-0.13,0.21)增至仿真 15.51 s 的(-0.38,0.81)，随后服务先报告 landing 再报告 fell、触雪部位head；log step 133、139 运行并保存同一生成脚本，复现361.3度转体、0次空翻、1557步及相同失败结果，与评分器字段一致。这支持所交付控制器未能稳定落地姿态的控制根因；这些是会话内的数值诊断，不能据此宣称视频直接显示了头部触雪，也不足以确定反馈、接触设计或某个参数的具体责任。"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 提供本次及成功参考视频，但均为主要动作区被雪坡遮挡的固定远景；本次视频 14.56–15.56 s 已逐帧检查，仍无法核实摔倒姿态、雪板及身体接触或精确失败时刻。没有 inputs/states.jsonl。评分器的 fell=1 支持失败事实，但不提供可见的失败运动细节，因此现象层留空、contact_actual记未知、视频断点时间留null；交付脚本的会话诊断只用于控制根因推断。landing_heading_deg 与 ride_turn_deg 未出现在 run.json 的 reward 字段中，原生指标值留null，未用会话结果代填。"
+ },
+ "summary_zh": "评分器记录起滑、起跳、落地三个原生阶段完成，雪板转体361.3度、空翻0次，但随后摔倒，未完成受控滑出；DAG唯一节点“转体落地滑出”未达到，最终0/1。交付生成脚本的重复运行和姿态诊断支持落地姿态控制未稳定的根因。两段视频均为遮挡严重的场地远景，无法直接核实接触、失败现象及视频断点时刻，相关字段保留未知或空缺。",
+ "conf": 6,
+ "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（评分器 success=0、fell=1、stages 3/4）、终值0、断点ref正确且t留null、contact_actual记未知均有依据；视频为被雪坡遮挡的远景，无法核实动作，现象层留空并带gap_zh可接受。未发现需改动的内容。",
+    "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": "2026-10-31T00:44:01Z",
+  "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-freeski-360-i00-privileged--bcpa6ao/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--bcpa6ao/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "73090ce7ad6e781cc2a62600a3d90127e647b3dc1e3c5d45317625730a59ce81",
+   "video_sha256": "d2e7e5856613f4e3393152db38cf4def803c55851d1e45c87539770cb197864d",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--bgejpwd.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--bgejpwd.json
new file mode 100644
index 0000000000000000000000000000000000000000..70c555189d62fd7ead2b921b821284d43bdd4f9a
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--bgejpwd.json
@@ -0,0 +1,235 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-privileged--bgejpwd",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "outcome": {
+  "success": 0,
+  "reward": 0.75,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1602,
+   "sim_steps": 1602,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.75,
+   "stages_reached": 3,
+   "stages_total": 4,
+   "fell": 1,
+   "replay_s": 12.86,
+   "bad_trajectory": 0,
+   "metric_air_s": 1.628,
+   "metric_from_knoll_m": -0.33,
+   "metric_height_m": 2.35,
+   "metric_speed_m_s": 20.501,
+   "metric_trick_flip_deg": -32.7,
+   "metric_trick_flips": 0.0,
+   "metric_trick_half_turns": 2.0,
+   "metric_trick_pelvis_spin_deg": 177.9,
+   "metric_trick_short_deg": 13.3,
+   "metric_trick_spin_deg": 373.3,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 378,
+   "agent_resets": 3159,
+   "agent_replays": 4,
+   "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": 4.619,
+   "peak_processes": 34,
+   "peak_disk_gb": 0.246,
+   "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-freeski-360-i00-privileged--bgejpwd/replay.mp4",
+  "duration_s": 16.04,
+  "fps": 25.0,
+  "frames": 401,
+  "sha256": "1e84a90f4ff01c45cfab8d68324bd9a1b9d1371bfa8cf7458d35fafd36e32673"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 158,
+      "text_zh": "观察：inputs/run.json 的评分字段为 success=0、replay_success=0、stages_reached=3/4、fell=1、deterministic=1、n_actions=1602；log step 157 重新生成最终交付文件，log step 158 对该文件重放，输出1602行且全部有限，裁判阶段只有 start、take-off、landing，随后 failed=fell。其转体373.3度、空翻角-32.7度和腾空1.628秒与评分字段一致。"
+     },
+     {
+      "t": null,
+      "log_step": 158,
+      "text_zh": "推断：该节点要求整次转体、落地并受控滑出终点，而最终文件的裁判在落地后因摔倒终止，未到滑出阶段，故整个事件从未完成；原生三阶段通过不等于此单节点完成。log step 156 的雪上转体失败属于随后被覆盖的另一个文件，不作为本次失败现象。"
+     },
+     {
+      "t": 16.0,
+      "log_step": null,
+      "text_zh": "观察：本次视频0.0–15.5 s以0.5秒间隔检查，并逐帧检查视频15.0–16.0 s，画面主要是固定场地远景，近景雪坡遮挡滑行区域；原分辨率视频13.8 s及16.0 s也不能可靠辨认机器人和雪板。成功参考视频0.0–17.0 s及17.5 s同样缺少可辨认的完整动作，不能据这些空景判断是否起跳、落地或触雪；节点结论来自明确的裁判结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：本次视频全程抽帧及视频15.0–16.0 s逐帧画面无法可靠显示机器人的作用端与雪面的接触，也没有状态日志。log step 158 的最终文件重放裁判报告左手触雪，但帧中不能复核实际支承及触雪方式，故不从任务的典型雪板支撑方案复制接触标签。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "value": 373.3,
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target"
+  },
+  {
+   "name": "landing_heading_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better"
+  },
+  {
+   "name": "ride_turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 158,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 157 生成并保存最终文件，log step 158 重放该文件，裁判记录 landing 后 failed=fell、on_the_snow=[left_hand]，与本次评分 fell=1、三阶段通过相符。推断：失败发生在整套转体动作的落地后滑出过程中，故断点为转体落地滑出；本次视频13.8 s和末段视频15.0–16.0 s无法辨认失衡发生时刻，t留空。log step 158 的仿真13.802 s落地、仿真16.019 s触雪仅作为重放事件记录，未换算为视频时刻。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": null,
+    "log_step": 158,
+    "source_zh": "日志",
+    "evidence_zh": "观察：inputs/run.json 的评分字段为 fell=1、stages_reached=3/4、deterministic=1。log step 157 生成最终交付文件，log step 158 对该文件的重放裁判报告 landing 后 failed=fell、on_the_snow=[left_hand]；转体373.3度、空翻角-32.7度、腾空1.628秒及1602行动行均与本次评分一致，支持这是被评分交付的摔倒现象，而非其他会话测试或 agent 自述。视频全程逐秒抽帧、视频13.8 s原图及视频15.0–16.0 s逐帧画面无法可靠辨认摔倒姿态或时刻，t留空；不把仿真事件时间换算为视频时间。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": null,
+    "log_step": 158,
+    "source_zh": "日志",
+    "evidence_zh": "推断：落地后稳定滑出的控制未能维持机器人姿态。会话诊断 log step 146 使用后来最终交付所选的cfg6配置，输出落地后躯干倾角从37度逐渐增至78度、骨盆高度从0.52米降至0.24米，最终手触雪；这些是会话测试证据，不作为本次视频的姿态或时间。log step 137 修改航向阻尼反馈后仍有摔倒或雪上转体的测试结果，最终生成与重放（log steps 157–158）仍在落地后以fell结束，评分也报告fell=1，支持宽泛控制归因；不足以证明某一增益、逆解或具体反馈环节是本次根因。"
+   }
+  ],
+  "gap_zh": "观察：inputs/有本次与成功参考视频、run.json，但没有逐帧状态日志。本次视频全程抽帧、视频13.8 s原图及视频15.0–16.0 s逐帧检查均无法可靠分辨机器人、雪板或手触雪；参考视频也存在同样可见性限制。评分明确报告fell=1，最终文件重放裁判在log step 158报告左手触雪，但无法独立视觉复核摔倒姿态、实际接触方式及其视频时刻，故依评分字段及最终文件重放裁判记录摔倒现象“全身·平衡”，接触记未知、现象与断点的t均留空；不把会话里其他文件的摔倒或雪上转体直接当作本次可见现象。根因仅由会话诊断及最终文件裁判结果支持宽泛控制归因，具体失稳机制未确认。评分未报告landing_heading_deg和ride_turn_deg，两个原生指标保留null。"
+ },
+ "summary_zh": "评分及最终文件重放报告机器人完成起滑、起跳和落地三个原生阶段，雪板空中转体373.3度且无计入空翻，但落地后滑出时因左手触雪被裁判判为摔倒；DAG唯一节点“转体落地滑出”未完成，最终为0/1。会话姿态诊断及最终文件失败结果支持宽泛的控制问题归因。本次与参考视频的固定远景均无法可靠辨认动作，缺少状态日志，故摔倒现象“全身·平衡”依据评分及最终文件重放裁判记录，具体姿态、接触方式和视频时刻仍无法视觉复核。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "节点未完成、0/1、断点落在转体落地滑出均与评分字段（success=0、stages 3/4、fell=1）一致，视频确为固定空景，未发现时钟或节点值错误。但现象层留空不当：评分 fell=1 与 log step 158 重放裁判 failed=fell 是服务/裁判读数，已足以支持「全身·平衡」现象，不需要视频辨认。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未完成、0/1、断点在转体落地滑出、现象全身·平衡（fell=1，log 158 裁判读数）及宽泛控制根因均有评分字段和日志支持；视频为固定空景，时间均留空，未发现时钟或节点错误。validator 通过。",
+    "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": "2026-10-31T00:48:54Z",
+  "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-freeski-360-i00-privileged--bgejpwd/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--bgejpwd/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--bgejpwd/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--bgejpwd/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9f235a3a0d2fee834d1e267f68a3ca652bc53c36cfe7eb8ea0b1c6db6e3e3674",
+   "video_sha256": "1e84a90f4ff01c45cfab8d68324bd9a1b9d1371bfa8cf7458d35fafd36e32673",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--pabks3e.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--pabks3e.json
new file mode 100644
index 0000000000000000000000000000000000000000..9f4851968f0559648efd43ac8ad1cf5e7ddcdeef
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--pabks3e.json
@@ -0,0 +1,203 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-privileged--pabks3e",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "outcome": {
+  "success": 0,
+  "reward": 0.25,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1382,
+   "sim_steps": 1382,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.25,
+   "stages_reached": 1,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 14.44,
+   "bad_trajectory": 0,
+   "metric_speed_m_s": 14.573,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 382,
+   "agent_resets": 13,
+   "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": 2.744,
+   "peak_processes": 16,
+   "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-freeski-360-i00-privileged--pabks3e/replay.mp4",
+  "duration_s": 13.84,
+  "fps": 25.0,
+  "frames": 346,
+  "sha256": "b134ede4458142772526f7184c4dcff6835dd562ff4c9f840253fc523f7ca1d8"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 160,
+      "text_zh": "观察：log step 160 中，基准 CLI 对已交付 trajectory.npz 的独立重放返回 failed=\"no jump\"、stages=[\"start\"]、executed_rows=1382、bad_row=null、instance_ok=true、speed_m_s=14.573。log step 176 最终重新生成并验证的文件仍为1382行、同一状态散列和同一阶段；这些行数、阶段数及速度与本次 reward 一致。"
+     },
+     {
+      "t": null,
+      "log_step": 176,
+      "text_zh": "推断：交付轨迹只被裁判接受了起滑，未完成起跳及其后的空中转体、落地滑出；本节点要求整次动作完成，因此全程未达成，final=false。原生阶段1/4不等于语义节点1/1。"
+     },
+     {
+      "t": 13.8,
+      "log_step": null,
+      "text_zh": "观察：本次视频全程按约0.5秒间隔检查，另检查视频12.8–13.8 s每约0.1秒的末段画面及视频12.0 s、13.8 s原分辨率帧，均为近景雪坡遮挡的固定场地远景，无法可靠分辨机器人及雪板。成功参考视频全程及参考视频12.0 s、17.6 s原分辨率帧也有同样可见性缺口；不能用空景证明本次没有动作。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "裁判重放确认本次已起滑并尝试整次滑雪动作，但视频无法可靠辨认机器人、双靴、雪板及雪面之间的接触，且无状态接触日志；不把任务级典型的腿/躯干支撑直接当作实际观测。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 160,
+   "where": "操作中",
+   "evidence_zh": "推断：log step 151 保存的VY07轨迹、log step 160 独立重放及log step 176 最终重放均只达到start，裁判明确返回no jump；本次reward也只有1/4阶段且fell=0。故断在转体落地滑出这一个连续动作的起跳环节，属于操作中。视频12.8–13.8 s看不清机器人，无法定位动作出错的可见瞬间，t留空，不把日志仿真时间直接换成视频时间。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": null,
+    "log_step": 160,
+    "evidence_zh": "推断：已交付轨迹的基准重放器在log step 160 返回failed=\"no jump\"且stages仅为start，最终交付复核log step 176仍相同；本次reward的fell=0。可确定机器人已开始滑行但未实现合格起跳，归为全身·步态。此判断来自交付文件的裁判重放结果，远景视频本身不能显示起跳不足的具体姿态，不将其描述为目视摔倒。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": null,
+    "log_step": 141,
+    "evidence_zh": "推断：agent自写的VY07诊断探针在log step 141 的会话测试中读到接近唇口时竖直速度约-0.26至-0.14米每秒，探针标记的雪面法向力仍约380–458牛；log step 150 的VY07对照也给出接近唇口时vz=-0.24、fn=380.5。该配置随后在log step 151 被保存，log step 160及176的交付重放持续报no jump。综合这些会话诊断与交付验收，支持控制器未产生有效上跳运动的控制根因；探针不是逐帧状态日志，不据其断言精确接触、仿真穿透或某个参数必然错误。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "本次视频与成功参考视频都主要呈现被近景雪坡遮挡的固定远景；本次视频末秒密集检查及原分辨率帧仍无法可靠辨认机器人和雪板，因此无法视觉核验实际接触、腾空窗口、具体姿态或失败时刻。inputs/没有states.jsonl；节点未达及步态现象依据最终交付文件的基准重放结果和一致的reward，控制根因仅由同配置会话诊断辅助推断，不能细分为反馈控制、轨迹或参数问题。DAG所列三个原生转体/落地方向指标均未由本次reward报告，保留null。"
+ },
+ "summary_zh": "本次交付轨迹经独立重放只达到起滑阶段（原生阶段1/4），因no jump结束，未完成“转体落地滑出”，语义节点最终为0/1。失败位于连续动作的起跳环节，依据裁判结果标全身·步态，同配置诊断支持控制器未产生有效起跳的控制根因；本次及成功参考视频均无法可靠辨认机器人，实际接触和失败视频时刻无法核验。",
+ "conf": 6,
+ "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、final=false、断点（操作中、t留空）、步态现象及控制根因均与证据一致：视频全程为被雪坡遮挡的空景，无法辨认机器人，裁判重放（failed=no jump, stages=[start], reward 0.25, fell=0）一致。log step 引用采用 step id，与run.json对应。",
+    "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": "2026-10-31T00:46:04Z",
+  "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-freeski-360-i00-privileged--pabks3e/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--pabks3e/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b5ad1a721aa7954bc41fc379b007c1c674f27ac5c3b950be585a879a87b0ea0f",
+   "video_sha256": "b134ede4458142772526f7184c4dcff6835dd562ff4c9f840253fc523f7ca1d8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--uismxwn.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--uismxwn.json
new file mode 100644
index 0000000000000000000000000000000000000000..627296c9d95daa35f90a80e5e0ef1b10236f51fa
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--uismxwn.json
@@ -0,0 +1,209 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-privileged--uismxwn",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "outcome": {
+  "success": 0,
+  "reward": 0.5,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1991,
+   "sim_steps": 1991,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.5,
+   "stages_reached": 2,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 23.45,
+   "bad_trajectory": 0,
+   "metric_air_s": 1.393,
+   "metric_from_knoll_m": -4.89,
+   "metric_height_m": 1.92,
+   "metric_speed_m_s": 12.379,
+   "metric_trick_flip_deg": -178.7,
+   "metric_trick_flips": 0.0,
+   "metric_trick_half_turns": 2.0,
+   "metric_trick_pelvis_spin_deg": -199.8,
+   "metric_trick_short_deg": 72.3,
+   "metric_trick_spin_deg": -287.7,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 163,
+   "agent_resets": 151,
+   "agent_replays": 3,
+   "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-freeski-360-i00-privileged--uismxwn/replay.mp4",
+  "duration_s": 19.92,
+  "fps": 25.0,
+  "frames": 498,
+  "sha256": "50b08f00bd06a3b461cf8ec05a506adfbe51db5579289e92417984f074af91dd"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 18.6,
+      "log_step": null,
+      "text_zh": "观察：视频全程按约1秒间隔检查，并放大检查视频17.8–19.88 s；视频约18.6–19.8 s可见远处小型机器人轮廓离开跳台、向台面末端移动并下降，视频19.88 s仍在末端蓝线的上游侧；分辨率不足以辨认两块雪板的完整转角或首次触雪部位。"
+     },
+     {
+      "t": 19.88,
+      "log_step": null,
+      "text_zh": "观察：本次run.json评分器字段为stages_reached=2/4、progress=0.5、success=0、replay_success=0、deterministic=1；metric_trick_spin_deg=-287.7、metric_trick_flips=0、metric_from_knoll_m=-4.89。"
+     },
+     {
+      "t": null,
+      "log_step": 598,
+      "text_zh": "推断：原生四阶段只到起滑和起跳，落点距台面末端边界仍差4.89米，故完整的“转体落地滑出”事件从未成立，区间为空且final=false；不把原生阶段2/4换算为语义节点完成。agent在log step 598对交付文件也自述落在边界之前4.89米并明确承认失败，与评分器相符。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频约18.1–19.88 s可辨认机器人沿跳台运动及短暂腾空，但机器人和固定雪板只有少量像素，不能可靠区分双靴、雪板与其他身体部位的触雪情况；无状态日志，实际接触保留未知。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "value": -287.7,
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target"
+  },
+  {
+   "name": "landing_heading_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better"
+  },
+  {
+   "name": "ride_turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": 19.8,
+   "log_step": 598,
+   "where": "操作中",
+   "evidence_zh": "推断：视频约19.4–19.88 s的放大帧显示机器人轮廓下降至蓝线之前的台面区域；评分器metric_from_knoll_m=-4.89、stages_reached=2/4确认未通过落地阶段。失败发生于整次转体跳跃的落地过程，尚未进入合格滑出；视频19.8 s仅作下降末段的导航锚点，并非精确触雪时刻。agent在log step 598确认交付的是这一落短的轨迹。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 19.8,
+    "log_step": 598,
+    "evidence_zh": "推断：视频约18.6–19.88 s可见机器人从跳台腾空后下降，末帧的轮廓仍处在蓝线之前；结合本次评分器metric_from_knoll_m=-4.89、metric_air_s=1.393和fell=0，失败表现为跳跃距离不足，未越过台面末端完成要求的落地，而非已证实的摔倒。agent在log step 598也自述交付轨迹落短4.89米。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 541,
+    "evidence_zh": "推断：log step 541展示交付生成脚本：agent用walk模式助滑，在骨盆横坐标达到69米后切换joints模式，持续使用固定的髋、膝、踝和腰目标；log step 524将腰俯仰目标设为+0.2，log step 593再次运行该生成器，log step 595确认交付有1991行有限动作。评分器确认这组控制实现了-287.7度雪板转体、零计数空翻，却仍落短4.89米；据此归为起跳及飞行控制未实现所需距离。缺乏逐帧速度、受力和关节跟踪数据，不能进一步认定某一参数、反馈或逆解子类。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "没有状态日志。本次视频全程粗查，视频17.8–19.88 s按约0.1秒放大检查；成功参照全程粗查并放大检查参照视频11–17.5 s，均为远景且主要过程被近景雪坡遮挡，机器人只占少量像素。能判断末段腾空和下降的大致轨迹，但无法直接复核精确板转角、首次触雪部位、落地航向或具体接触，故contact_actual为未知；landing_heading_deg及ride_turn_deg未由评分器报告，保留null。断点时间为粗略视觉锚点，距离及转角来自本次评分器；控制根因只到大类，不推断具体力学失配。"
+ },
+ "summary_zh": "本次评分器记录起滑、起跳两阶段完成，雪板空中净转角−287.7度、计数空翻为零，但落点在台面末端之前4.89米，未完成“转体落地滑出”，语义节点最终为0/1。断点在跳跃落地过程中，现象为距离不足（步态），日志中的交付控制未实现所需飞行距离，根因记控制。远景只能辨认末段的小型机器人轮廓，实际接触与精确姿态无法核实，未报告的落地航向和滑出转向指标保留未知。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点final=false、断点为spin_360_ridden_away、现象步态（跳跃距离不足，无摔倒）、根因控制（只到大类）均与评分器字段（stages 2/4、metric_from_knoll_m=-4.89、fell=0）和远景视频一致；远景下机器人仅数像素，contact_actual记未知合理，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": "2026-10-31T00:44:45Z",
+  "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-freeski-360-i00-privileged--uismxwn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--uismxwn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "0528d42a9f76cb5fb44afe73dee6e7dc1ec2f19834d41501f3c2fb62d285b31a",
+   "video_sha256": "50b08f00bd06a3b461cf8ec05a506adfbe51db5579289e92417984f074af91dd",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--wz6sfpn.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--wz6sfpn.json
new file mode 100644
index 0000000000000000000000000000000000000000..99f198e3def889a4b80df06cdda6de8cbfb1527d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-privileged--wz6sfpn.json
@@ -0,0 +1,214 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-privileged--wz6sfpn",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "outcome": {
+  "success": 0,
+  "reward": 0.75,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 1628,
+   "sim_steps": 1628,
+   "horizon": 4000,
+   "episode_over": 1,
+   "progress": 0.75,
+   "stages_reached": 3,
+   "stages_total": 4,
+   "fell": 1,
+   "replay_s": 17.1,
+   "bad_trajectory": 0,
+   "metric_air_s": 1.756,
+   "metric_from_knoll_m": 2.07,
+   "metric_height_m": 2.46,
+   "metric_speed_m_s": 19.969,
+   "metric_trick_flip_deg": -20.4,
+   "metric_trick_flips": 0.0,
+   "metric_trick_half_turns": 2.0,
+   "metric_trick_pelvis_spin_deg": -283.8,
+   "metric_trick_short_deg": 33.5,
+   "metric_trick_spin_deg": -326.5,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 479,
+   "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": 2.957,
+   "peak_processes": 20,
+   "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-freeski-360-i00-privileged--wz6sfpn/replay.mp4",
+  "duration_s": 16.32,
+  "fps": 25.0,
+  "frames": 408,
+  "sha256": "dcc8c236ee1aea3b187ebdead5931566b41f71fc7b17c98c0ee7af1f31b505ac"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 190,
+      "text_zh": "观察：log step 190 的轨迹生成脚本保存交付文件后，基准重放工具对该文件执行1628行，报告 success=false、failed=fell、stages=[start,take-off,landing]、progress=0.75；这是基准裁判的重放结果，不是 agent 对动作的口头判断。log step 198 的两次新进程重放终态散列一致，log step 215 最终交付验证仍为同一散列和摔倒结果；inputs/run.json 的 reward 同样报告 deterministic=1、fell=1、stages_reached=3/4。"
+     },
+     {
+      "t": 16.24,
+      "log_step": null,
+      "text_zh": "观察：已检查视频全程逐秒远景、视频 12.4–14.2 s 及视频 13.8–16.0 s 每约0.2秒放大帧、视频 16.24 s 末段帧；机器人仅呈细小模糊轮廓，近侧雪坡遮挡动作细节，无法可靠判断雪板转角、首次触雪或摔倒姿态。成功参考同样使用远景，参考视频 17.52 s 也不能提供可可靠辨认的完成动作对照。"
+     },
+     {
+      "t": null,
+      "log_step": 215,
+      "text_zh": "推断：交付轨迹的基准裁判确认已起滑、起跳并接受落地，但在滑出阶段摔倒，完整的“转体落地滑出”从未成立；因此 event 节点没有达成区间，final=false。原生阶段进度0.75不换算为这个单节点的完成。视频不具备判定该完整动作的可用细节，故以交付文件重放结果判定，method=log；未把会话测试的仿真时刻换成视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 12.4–16.24 s 放大后仍无法可靠分辨双靴、雪板与雪面的实际接触，也没有逐帧状态接触日志；不能仅依据任务的固定雪板配置或裁判阶段记录，把典型的腿部支撑接触当作本轨迹的可见接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "value": -326.5,
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target"
+  },
+  {
+   "name": "landing_heading_deg",
+   "value": [
+    6.4,
+    6.4
+   ],
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better"
+  },
+  {
+   "name": "ride_turn_deg",
+   "value": null,
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 215,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 215 对最终交付文件的重放报告 outcome=fell、stages=[start,take-off,landing]，且与 log step 190 的重放终态散列一致；评分器 reward 报告 fell=1、success=0。失败发生在机器人落地后继续滑出的连续动作中，该节点未完成；视频 15.4–16.24 s 远景无法辨认失衡开始的瞬间，故不指定视频断点时间。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": null,
+    "log_step": 215,
+    "evidence_zh": "观察：评分器 reward 的 fell=1，log step 190 和 log step 215 对交付文件的基准重放均报告 failed/outcome=fell，已接受 landing 而没有 ride-away；这支持落地滑出时摔倒的现象。视频 15.4–16.24 s 中机器人太小且受遮挡，无法独立辨认具体倒向或身体触雪部位，未从其他测试移用摔倒画面。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 153,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 153 用与 log step 184 最终生成配置相同的参数进行会话诊断，记录落地后航向来回偏转，仿真 15.91 s 至仿真 16.21 s 横滚从12.1度增至47.4度、骨盆法向净高从0.67米降至0.44米，随后裁判判 fell；最终交付重放在 log step 190、198、215 一致复现相同阶段和摔倒结果。结合这些诊断，支持落地后姿态控制未能稳定滑出的控制问题；会话诊断只用于根因，不作为本次视频节点的时间或接触证据，现有信息不足以细分反馈控制、轨迹或参数问题。"
+   }
+  ],
+  "gap_zh": "视频为640×360固定远景，已检查全程粗采样、起跳至落地附近及片尾最后一秒密集帧并放大；机器人细小且被坡面遮挡，不能可靠辨认实际支撑接触、雪板姿态或失衡起点，故 contact_actual=未知、breakpoint.t=null。inputs/没有逐帧状态日志；已提供的成功参考视频也存在相同可见性限制。现象依据最终交付文件的裁判重放与评分器 fell 字段，控制根因仅由相同配置的会话诊断作有限推断，具体失稳机制未定。landing_heading_deg=[6.4,6.4]来自 log step 190 交付文件重放的裁判 metrics；reward直接报告 trick_spin_deg=-326.5，ride_turn_deg在评分与交付重放结果中均未报告，填null。",
+  "unmet": {
+   "spin_360_ridden_away": false
+  }
+ },
+ "summary_zh": "基准裁判确认交付轨迹完成起滑、起跳和落地，雪板空中转角为−326.5度、空翻计数为零，但机器人在继续滑出时摔倒，唯一的“转体落地滑出”节点最终为0/1。相同配置的会话诊断支持落地后姿态控制失稳，交付文件多次确定性重放均得到摔倒结果。视频与成功参考均为细节不足的远景，实际接触和视频失衡时刻无法可靠辨认，已保留未知及空时间。",
+ "conf": 6,
+ "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：视频为远景，机器人不可见（已核对），节点 final=false、断点在唯一节点、现象为平衡（fell=1，基准重放 log step 190/198/215 一致）、根因为有限推断的控制，均有支持；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": "2026-10-31T00:44:33Z",
+  "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-freeski-360-i00-privileged--wz6sfpn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-privileged--wz6sfpn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8695c11ef987626d4b8b34898970e7a6939f3194db20219b4d96e514e2545c58",
+   "video_sha256": "dcc8c236ee1aea3b187ebdead5931566b41f71fc7b17c98c0ee7af1f31b505ac",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--cgsbh2j.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--cgsbh2j.json
new file mode 100644
index 0000000000000000000000000000000000000000..127dac97b7df8749c6d0f48177e925cb070d6b86
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--cgsbh2j.json
@@ -0,0 +1,199 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-standard--cgsbh2j",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "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": 1109,
+   "sim_steps": 8552,
+   "calls": 665,
+   "rows": 8552,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2359.0,
+   "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,
+   "peak_memory_gb": 4.209,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.51,
+   "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-freeski-360-i00-standard--cgsbh2j/replay.mp4",
+  "duration_s": 11.12,
+  "fps": 25.0,
+  "frames": 278,
+  "sha256": "3b589783a580a919341df43988ec49426b02621c677248d08c8327ff4229cd47"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 87,
+      "text_zh": "观察：log step 87 中 agent 用最后一次 reset 启动 episode 6，机器人服务返回的最终 reason、outcome、stages_reached、stages_total 被脚本原样打印为“END failed fell 1 4”；打印代码见 log step 80。log step 88 的服务状态确认 episode=6、done=true、control_steps=1109、rows=8552、calls=665、resets_left=0，动作数、总步数和调用数与本次评分器字段一致，后续未再执行机器人动作。这是评分末局的服务结果，完整转体落地滑出事件未成立，不能把原生阶段1/4算作语义节点完成。"
+     },
+     {
+      "t": 11.08,
+      "log_step": null,
+      "text_zh": "观察：本次视频从视频 0 s 起每0.5秒检查至末段，并密查视频 9.2–11.08 s；画面为近处雪坡遮挡的固定远景，末帧不能可靠辨认机器人或雪板。成功参考视频全程每秒抽帧及参考视频 12 s 原分辨率帧也有同样可见性缺口，因此空景本身不证明未完成；节点否定依据是本次末局服务的明确终止结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：评分末局确有动作执行且服务报告阶段1/4后摔倒（log step 87–88），但本次视频全程及视频 9.2–11.08 s 密集帧均无法可靠辨认机器人、双靴或雪板；没有状态接触日志，不能核定实际支承链路或摔倒时触雪部位。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 87,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 87 的最后一次 reset 明确进入 episode 6，机器人运行起滑脚本后，服务终态为 failed / fell、stages_reached=1、stages_total=4；log step 88 确认本局已终止、无剩余重置，且动作计数与评分器一致。推断：失败发生在整次转体落地滑出动作的起滑阶段，尚未完成跳台动作；本次视频末段仍为遮挡远景，无法从帧定位失衡时刻，故视频时间留空。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": null,
+    "log_step": 87,
+    "evidence_zh": "观察：评分末局的机器人服务裁判 outcome 为 fell（log step 87），随后 log step 88 查询同一 episode 6 显示 done=true；并非取自早先练习局的摔倒或仅引用 agent 的总结。log step 88 对该局已存传感读数的诊断显示，仿真 9.46 s 骨盆俯仰约14.5度，仿真 10.59 s 约-72.7度；这些读数支持明显后仰失衡，视频本身因遮挡未直接显示摔倒。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 87,
+    "evidence_zh": "推断：评分末局的姿态控制未维持起滑平衡。log step 80 的脚本在起滑序列后立即用30个控制步切换到 ride 姿态；log step 87 将双髋、双膝、双踝目标改为-0.8、1.2、-0.25弧度并运行该脚本。log step 88 对同一末局保存读数的诊断显示，切换时髋膝读数跟随目标改变，骨盆随后连续后仰，最终服务报告 fell（log step 87）。这支持姿态切换导致控制失稳的解释，但没有真实质心、雪面接触力或力矩记录，故不细分为参数调试或接触设计，也不把 log step 86 本地模型估计的质心偏移当作评分场景真值。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "本次视频和成功参考视频都是被近处雪坡遮挡的场地远景，无法可靠辨认机器人和雪板；已检查本次全程抽帧、视频 9.2–11.08 s 密集帧和视频 11.08 s 原分辨率末帧。inputs/ 有运行日志和两段视频，但没有 states.jsonl 或其他接触状态日志；实际接触记未知。末局的 episode、裁判结果和计数可与评分器对应，但没有可见物理事件可核对仿真到视频的精确映射，不将仿真时间转换成视频断点时间。转角、落地航向和滑出转向三个原生指标均未由本次评分器报告，值留空；控制根因属于脚本与同局诊断共同支持的推断。",
+  "unmet": {
+   "spin_360_ridden_away": false
+  }
+ },
+ "summary_zh": "评分末局为 episode 6：机器人服务仅报告完成1/4个原生阶段，随后以 fell 终止，完整“转体落地滑出”节点未达到，语义进度为0/1（log step 87–88）。脚本在起滑后立即切换为深屈膝后坐姿态，同局诊断随后显示骨盆持续后仰，支持控制失稳导致起滑阶段摔倒的解释。两段视频均无法可靠辨认机器人，实际接触和视频断点时间无法核定；未把 早先重置局的动作或本地自由飞行测试计入本次进度。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标注与证据一致：评分末局（episode 6）服务终态 failed/fell、阶段 1/4，节点未达为 false；视频为被雪坡遮挡的空景，看不到机器人，所以接触记未知、断点时间留空合理；平衡现象与控制根因（停在“控制”不细分）有 log step 87–88 的同局读数支持，且已标为推断。",
+    "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": "2026-10-31T00:47:26Z",
+  "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-freeski-360-i00-standard--cgsbh2j/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-standard--cgsbh2j/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "eb27f7b3b59cdb17fe7c90e1967eab680038dae52d094a78d895682899da0ef5",
+   "video_sha256": "3b589783a580a919341df43988ec49426b02621c677248d08c8327ff4229cd47",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--ftisjrc.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--ftisjrc.json
new file mode 100644
index 0000000000000000000000000000000000000000..ff7015489133a247967c488f6f2613c61d988e14
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--ftisjrc.json
@@ -0,0 +1,193 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-standard--ftisjrc",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "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": 738,
+   "sim_steps": 3164,
+   "calls": 58,
+   "rows": 3158,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 488.8,
+   "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": 0.313,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.834,
+   "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-freeski-360-i00-standard--ftisjrc/replay.mp4",
+  "duration_s": 7.4,
+  "fps": 25.0,
+  "frames": 185,
+  "sha256": "313ae9e700169ce0fc7a15c5142f76dc12d07bf669d5f058718cf9b6c880e43a"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 7,
+      "text_zh": "观察：log step 7 的机器人服务规格明确规定只评分最后一个 episode；log step 59 的 agent 脚本发起最后一次 reset，log step 64 继续运行同一助滑脚本，随后未再重置。inputs/run.json 的评分器字段为 graded_by_live=1、finalized=1、live_success=0、infra_error=0，说明最后一次实时尝试已完成评分且未通过。"
+     },
+     {
+      "t": null,
+      "log_step": null,
+      "text_zh": "推断：本任务只有“转体落地滑出”这一个与整次成功绑定的 event 节点；评分器 live_success=0 且已 finalized，因此该完整动作未被验收，final=false、达成区间为空。这不证明某个助滑或转体子阶段完全没有发生。"
+     },
+     {
+      "t": 7.36,
+      "log_step": null,
+      "text_zh": "观察：按视频 0.00–7.20 s 每隔约0.40 s 检查全程，并逐帧检查视频 6.36–7.36 s；固定远景显示雪坡、跳台和落地区，近景雪坡遮挡部分赛道，无法可靠辨认本次机器人、雪板或摔倒动作。成功参考视频全程及参考视频 17.60 s 的原分辨率末帧也不足以提供本次动作的可核查接触证据；不能仅凭本次画面无人判定未尝试。"
+     },
+     {
+      "t": null,
+      "log_step": 66,
+      "text_zh": "观察：agent 在 log step 66 自述最后一局“起滑后、起跳前摔倒，阶段1/4”，并在 log step 68 重复该结果；log step 67 输出的 agent 自写记录也作同样描述。这些是 agent 自述，相关服务调用的实际裁判输出未保留在可读日志中，故不据此填入摔倒时刻、接触或独立的阶段达成时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：log step 59、64 记录了 agent 启动并延续助滑控制脚本，评分器记录最后尝试 n_actions=738；但视频 0.00–7.36 s 无法可靠辨认机器人的靴、雪板或躯干，且没有状态日志，无法确认实际支承或身体触雪，故接触标未知。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 64,
+   "where": "操作中",
+   "evidence_zh": "推断：log step 59 的 agent 脚本重置后执行助滑控制，log step 64 延续该尝试；评分器记录最后尝试 n_actions=738、live_success=0、finalized=1。助滑是唯一节点“转体落地滑出”的连续动作组成部分，故断点归该节点的操作中。视频 0.00–7.36 s 不能可靠辨认机器人，无法定位动作何时变坏，t留空；不把 agent 在 log step 66 自述的仿真 7.38 s 当作已核实的视频锚点。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [],
+  "root_causes": [],
+  "gap_zh": "本次视频已检查全程与末秒逐帧，但固定远景和近景雪坡遮挡使机器人及其雪板无法可靠辨认；成功参考视频也没有可供本次接触核验的清晰动作视角。inputs/ 中没有状态日志；log step 59–65 的相关服务工具输出只有会话编号或空文本，log step 67 没有实际裁判状态输出，保存脚本的中段也被日志截断。agent 在 log step 66、68 自述起跳前摔倒、阶段1/4，不能替代本次动作观测；评分器只报告未通过而未给出可解释的原生失败状态，first_reason_code=2在现有输入中无可核对的码义。因此能判定唯一目标未通过和尝试已启动，实际接触、摔倒现象、断点视频时刻及具体根因均缺乏独立证据，现象和根因留空。trick_spin_deg、landing_heading_deg、ride_turn_deg均未由本次评分器字段报告。"
+ },
+ "summary_zh": "最后一次实时尝试已终结且评分未通过，唯一的“转体落地滑出”节点未获验收，终态为0/1。agent 在 log step 66、68 自述起滑后、起跳前摔倒，阶段1/4，但本次视频全程及末秒逐帧检查均无法可靠辨认机器人，无法独立核实该描述。断点归连续滑雪动作的操作中，接触标未知，视频时刻、失败现象和根因因缺少清晰动作画面与原生状态记录而留空。",
+ "conf": 5,
+ "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：视频固定远景中看不到机器人（本次与参考视频均如此），评分器 live_success=0、finalized=1，故唯一节点 final=false；接触未知、现象与根因留空且有 gap_zh，处理保守但合理。日志中没有保留服务裁判输出，摔倒/阶段1/4 只来自 agent 自述，未被当作事实。",
+    "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": "2026-10-31T00:45:10Z",
+  "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-freeski-360-i00-standard--ftisjrc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-standard--ftisjrc/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e61b4dc3e68127fc66467c82c33569cc2110df556d1f5026799bd45a5ee21f5e",
+   "video_sha256": "313ae9e700169ce0fc7a15c5142f76dc12d07bf669d5f058718cf9b6c880e43a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--moc8bqh.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--moc8bqh.json
new file mode 100644
index 0000000000000000000000000000000000000000..1c9c3d1a0ef598525cf11a141aefdd31d6de635e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--moc8bqh.json
@@ -0,0 +1,198 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-standard--moc8bqh",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "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": 1410,
+   "sim_steps": 7309,
+   "calls": 636,
+   "rows": 2006,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3167.9,
+   "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": 0.306,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.853,
+   "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-freeski-360-i00-standard--moc8bqh/replay.mp4",
+  "duration_s": 14.12,
+  "fps": 25.0,
+  "frames": 353,
+  "sha256": "827424f7e3fcca06c14559a6792da962c941b9b53511f909277296f8f6514e87"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 134,
+      "text_zh": "观察：log step 134 中机器人实时服务报告最后评分局 episode=6、control_steps=1410、sim_time_s=14.1、done=true、outcome=\"fell\"、stages_reached=1、stages_total=4；log step 132 发起最后一次 reset，log step 133 的该次执行返回同一摔倒结果。此为服务裁判结果，不是前一次试验或 agent 自述；完整转体落地滑出未被接受，节点为 false。"
+     },
+     {
+      "t": 14.08,
+      "log_step": null,
+      "text_zh": "观察：本次视频 0–13 s 的逐秒帧、视频 12.4–14.0 s 的约0.2秒间隔帧及视频 14.08 s 的末帧均为固定场地远景，近景雪坡遮挡助滑区域，无法可靠辨认机器人、雪板或触雪部位；成功参考视频 0–17 s 的逐秒帧和参考视频 17.56 s 的末帧也有同样可见性限制，不能根据空景判断动作完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：本次视频全程远景及视频 12.4–14.08 s 的末段检查无法辨认机器人与雪板接触；无状态日志。最后评分局确有执行并被服务判为摔倒（log step 133–134），但实际承重及身体触雪的作用部位不能从画面核实，故接触记未知。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 134,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 131–132 的 agent 脚本为最后评分局执行此前记录的助滑关节序列；log step 133 返回 replay 14.1 True / fell，log step 134 的服务最终结果为 episode=6、1/4阶段、outcome=\"fell\"。该连续动作在助滑执行中失败，未完成转体落地滑出。视频 12.4–14.08 s 看不清机器人，无法给出视觉核实的失衡瞬间；仿真 14.1 s 不直接当作视频断点时间。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": null,
+    "log_step": 134,
+    "evidence_zh": "观察：log step 134 的实时服务裁判对最后评分局 episode=6 明确返回 outcome=\"fell\"、done=true、stages_reached=1/4；log step 133 的执行输出也为 fell，说明机器人在该局发生摔倒。视频 12.4–14.08 s 的远景无法核实具体倒向或触雪部位；不把前一局的空中倾斜与落地方向错误当成本局现象。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：最终助滑执行的控制未维持平衡。log step 64、80 的原助滑脚本每次读取新IMU及关节反馈并更新踝、髋目标；log step 131–132 却把其已记录的目标插值成固定序列，分两批提交，不根据本局传感反馈重新计算助滑目标。log step 134 显示在仿真 9.2 s 的对比检查点关节和IMU已存在差异，最终服务在仿真 14.1 s 判 fell；log step 135 的 agent 记录也承认最终改成了开环回放。证据支持控制执行失稳，但没有末段姿态或接触记录，无法单独确定反馈缺失、插值改变或某个参数各自的贡献，故停在控制大项。"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 提供本次及成功参考视频和完整运行日志，但无逐帧状态日志。本次视频全程逐秒检查及视频 12.4–14.08 s 加密检查均无法可靠辨认机器人；成功参考同一视角也无法解除遮挡，因此实际接触、摔倒方向和视频发生时刻均不能独立核实。最后评分局由 log step 132–134 的 reset、执行结果和服务 episode=6 明确定位；节点未完成和摔倒取自该局服务裁判，而非 agent 的前五次试验。未找到可见事件核对控制步到视频的映射，故断点 t 留空；三个原生指标未在本局评分字段报告，均为 null。控制细分原因缺少末段传感与接触证据。"
+ },
+ "summary_zh": "最后评分局为第6次实时尝试，服务在仿真 14.1 s 报告摔倒、仅达到1/4个原生阶段，完整“转体落地滑出”节点未完成，语义进度为0/1。断点在该连续动作的助滑执行中；日志支持控制执行失稳，最终脚本将此前依赖传感反馈生成的目标改为固定开环序列。两段视频均受远景及雪坡遮挡，不能核实机器人实际接触和摔倒的视频时刻，接触记未知、断点时间留空。",
+ "conf": 6,
+ "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：视频（时长14.12 s，对应最后评分局）全程远景且雪坡遮挡，看不到机器人，接触记未知合理；服务在 log step 134 报 episode=6、outcome=fell、1/4 阶段，节点 false、断点在助滑、平衡现象、控制根因（标为推断）均有日志支撑，t 留空保守可接受。",
+    "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": "2026-10-31T00:46:37Z",
+  "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-freeski-360-i00-standard--moc8bqh/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-standard--moc8bqh/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "929a8341cfc0b40a8349baccfb9099882c4063d6a69886b91f8d938150cfdf4e",
+   "video_sha256": "827424f7e3fcca06c14559a6792da962c941b9b53511f909277296f8f6514e87",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--peodoez.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--peodoez.json
new file mode 100644
index 0000000000000000000000000000000000000000..3be062f2f548bd371dbc46ff92f750f8673f1b04
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--peodoez.json
@@ -0,0 +1,203 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-standard--peodoez",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "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": 1116,
+   "sim_steps": 3578,
+   "calls": 189,
+   "rows": 3578,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 5264.8,
+   "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": 0.934,
+   "peak_processes": 13,
+   "peak_disk_gb": 2.548,
+   "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-freeski-360-i00-standard--peodoez/replay.mp4",
+  "duration_s": 11.2,
+  "fps": 25.0,
+  "frames": 280,
+  "sha256": "c6a26a926b538666e5b4e67e932ab048af0c26d3187434488237fb02b0f6c449"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 128,
+      "text_zh": "观察：log step 125 重置并启动最后一次实时尝试；log step 128 的服务返回标明 episode=6、control_steps=1116、sim_time_s=11.16、done=true、reason=failed，其累计 control_steps_total=3578 与本次 reward.sim_steps 一致。此前五局为会话试验，不合并计入本视频。"
+     },
+     {
+      "t": null,
+      "log_step": 129,
+      "text_zh": "观察：log step 129 读取最后一局 att_6 的服务裁判 meta，得到 outcome=fell、stages_reached=1、stages_total=4；log step 112 说明这些 meta 字段是服务裁判对已结束尝试的结果。推断：该局只完成起滑阶段，尚未完成起跳、合格转体落地与滑出这一完整事件，节点未达到。"
+     },
+     {
+      "t": 11.12,
+      "log_step": null,
+      "text_zh": "观察：已按视频每约0.5秒检查全程，并加密检查视频10.0–11.1 s及视频11.12 s原分辨率帧；画面为固定场地远景，近景雪坡遮住路线，不能可靠辨认机器人或雪板。成功参考视频每约1秒的全程画面及参考视频12.0 s帧也有相同可见性缺口；因此不以空景作为未起滑或未完成的证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：本次视频0.0–11.12 s所检帧不能可靠辨认机器人、雪板和触雪点，且无逐帧状态日志，无法确认实际作用端与接触方式；未复制任务DAG中的典型支撑方案。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 129,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 128 显示最后一次实时尝试由控制脚本持续发出滑行关节指令，随后服务以 failed 结束；log step 129 从该局服务裁判 meta 读取 fell、1/4 阶段。推断：机器人在同一次转体滑出动作的助滑至起跳准备过程中失衡，完整动作未完成；本视频不能看清失败瞬间，故不填视频断点时刻。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": null,
+    "log_step": 129,
+    "evidence_zh": "观察：log step 129 读取评分最后一局的服务裁判结果 outcome=fell、stages_reached=1/4；这是真实服务返回的摔倒判定，而非仅引用agent最终总结。视频10.0–11.12 s所检帧被雪坡遮挡，无法视觉定位身体失去支撑或触雪的瞬间。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "反馈控制",
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 125 的最终控制脚本保留姿态修正环，Kpb=1.2、trim_lim=0.25；log step 129 对最后一局保存的服务本体传感读数计算出仿真8.84–11.00 s骨盆俯仰约1.06–1.23 rad、左踝约−0.88至−0.91 rad，期间俯仰未恢复，随后该局裁判报告fell。推断：滑行过程中持续前倾未被姿态反馈纠正，支持姿态稳定控制失败；不能据此独立证明某个增益或起步参数必然不当。"
+   }
+  ],
+  "gap_zh": "本次视频全程所检帧（视频0.0–11.12 s）及成功参考视频均无法可靠辨认机器人，输入中无状态日志，实际支撑链、起跳地点和摔倒瞬间不可核验。log step 128 的服务控制步数1116与0.01秒控制周期对应仿真11.16 s，接近视频11.2 s长度，但没有可见动作事件可核对映射，故未把日志仿真时刻转成视频断点时间。反馈控制归因为末段本体传感数据与裁判结果支持的推断；agent在log step 134自述起步踝部塌陷、修正权限不足，其精确因果链未获独立验证。评分器未报告DAG的三个原生指标，均留null。"
+ },
+ "summary_zh": "最后一次实时评分尝试完成起滑，但服务裁判报告fell、仅达到1/4原生阶段，因此完整“转体落地滑出”节点未完成，最终进度0/1。末段传感记录显示持续大幅前倾未恢复，支持姿态反馈控制失败；本次及成功参考视频均被近景雪坡遮挡，实际接触、摔倒视频时刻及更具体的控制参数因果关系无法独立核验。",
+ "conf": 6,
+ "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、contact 未知、断点 spin_360_ridden_away（操作中）、平衡现象与反馈控制根因均有服务读数（outcome=fell、stages 1/4、本体传感）支持；视频被雪坡遮挡，标注如实，未把仿真时间转成视频时间。",
+    "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": "2026-10-31T00:49:53Z",
+  "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-freeski-360-i00-standard--peodoez/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-standard--peodoez/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c1ecf32cbbbcc94070840a8aee4f565672c67ea204c59c8cc1793e70fa3c0be0",
+   "video_sha256": "c6a26a926b538666e5b4e67e932ab048af0c26d3187434488237fb02b0f6c449",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--pqakdp5.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--pqakdp5.json
new file mode 100644
index 0000000000000000000000000000000000000000..fba7d64e4b65e6f4f2818d5946050a84aa43ee0d
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--pqakdp5.json
@@ -0,0 +1,196 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-standard--pqakdp5",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "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": 894,
+   "sim_steps": 5822,
+   "calls": 249,
+   "rows": 5822,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1819.2,
+   "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,
+   "peak_memory_gb": 0.207,
+   "peak_processes": 11,
+   "peak_disk_gb": 2.531,
+   "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-freeski-360-i00-standard--pqakdp5/replay.mp4",
+  "duration_s": 8.96,
+  "fps": 25.0,
+  "frames": 224,
+  "sha256": "a82e74cc88ea5e0679b836d4f88d7c2e00652a4c18ba0b64de330b0fc542c6b9"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 90,
+      "text_zh": "观察：log step 90 中 agent 的脚本执行最后一次 reset（resets_left=0）并启动 att6；该次机器人服务返回 DONE: failed | outcome: fell | stages: 1 / 4。log step 53 的驱动代码表明这些字段直接读取服务响应 res.meta，而非 agent 对画面的描述；因此完整转体落地滑出事件未达成。"
+     },
+     {
+      "t": null,
+      "log_step": 117,
+      "text_zh": "观察：log step 117 的机器人实时服务 /status 返回 episode=6、done=true、reason=failed、control_steps=894；log step 114 的后续 att7 提交已被拒绝，未产生新的评分尝试。"
+     },
+     {
+      "t": 8.92,
+      "log_step": null,
+      "text_zh": "观察：本次视频 0.00–8.50 s 的每隔约0.5秒采样、视频 7.96–8.92 s 的逐帧检查以及视频 8.92 s 原尺寸末帧均为雪坡遮挡的远景，无法可靠辨认机器人和雪板；成功参考视频 0.00–17.00 s 的逐秒采样及参考视频 12.00 s 原尺寸帧也如此，不能用空景判断动作发生与否。本节点最终值依据本次服务的阶段与终止结果。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "本次视频无法辨认机器人、雪板及触雪部位，且没有状态接触日志。log step 89–90 表明脚本已尝试以 walk 转 ride 执行起滑，但无法由此确认实际接触方式，不照抄任务的典型支撑方案。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 90,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 89–90 的脚本以 walk 起滑并切换 ride，随后本次实时服务返回 outcome=fell、stages_reached=1、stages_total=4；log step 117 确认第6局已经失败终止。推断：失败发生在完整转体落地滑出动作的起滑/助滑尝试中；视频无法定位失衡开始，故不把日志中的估计时间换成视频断点。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": null,
+    "log_step": 90,
+    "evidence_zh": "观察：log step 90 的 att6 执行输出中，机器人服务明确返回 outcome=fell，且仅达到1/4原生裁判阶段；log step 53 显示驱动直接打印 res.meta.outcome。该摔倒结论来自本次评分局的服务反馈，视频远景不能独立复核倒地姿态或触雪部位。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "本次视频全程及最后一秒逐帧均无法可靠辨认机器人；成功参考同样被近景雪坡遮挡。没有状态日志，实际接触、失衡开始的视频时刻及姿态变化无法核实；保留服务明确报告的摔倒现象。log step 90 的 pitch、slope、速度和雪板方向为 agent 脚本的估计量，log step 119–120 的“原地蹭步、楔形自锁”等为 agent 自述，缺少独立的姿态、接触力及控制跟踪证据，无法可靠区分具体控制问题或其他根因，根因留空。DAG三项原生指标均未在本次评分字段中报告。"
+ },
+ "summary_zh": "第6次实时评分尝试仅达到1/4原生裁判阶段，完整“转体落地滑出”节点未完成，最终为0/1。机器人服务明确返回摔倒，断点属于该连续动作的操作中；后续 att7 被拒绝，没有替代此结果。本次与成功参考视频均无法可靠辨认机器人，实际接触、视频失衡时刻和根因无法独立核实。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标注与证据一致：视频8.96 s对应control_steps=894（约100 Hz），末段仅见雪坡远景无法辨认机器人；log id 90的服务返回 fell、stages 1/4，节点未达成、平衡现象、根因留空并写明gap_zh，均有依据，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": "2026-10-31T00:46:28Z",
+  "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-freeski-360-i00-standard--pqakdp5/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-standard--pqakdp5/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "76d4a3b247b107085f331e95473923f97b46de7b04595fa455e3bd423b67311b",
+   "video_sha256": "a82e74cc88ea5e0679b836d4f88d7c2e00652a4c18ba0b64de330b0fc542c6b9",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--srekgg4.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--srekgg4.json
new file mode 100644
index 0000000000000000000000000000000000000000..f88ec9fbf2d2fbba2dcf5ee627438a49eac14749
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--srekgg4.json
@@ -0,0 +1,205 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-standard--srekgg4",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "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": 574,
+   "sim_steps": 5552,
+   "calls": 224,
+   "rows": 2608,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1225.0,
+   "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-freeski-360-i00-standard--srekgg4/replay.mp4",
+  "duration_s": 5.76,
+  "fps": 25.0,
+  "frames": 144,
+  "sha256": "9820720124ec304d89d87ba7c0dade76799f1382aa27fab710e4f037429492f8"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 87,
+      "text_zh": "观察：log step 85 的控制脚本重置后执行本次人字形蹬伸起滑；log step 87 打印实时机器人服务的裁判返回值（服务内置裁判，而非 agent 的完成自评）：episode=6、control_steps=574、done=true、reason=failed、outcome=stopped、stages_reached=1。log step 89 再次确认第6局已结束且无法重置；因此评分对象是该局，不是此前五局试验或之后改写的 gen.py。"
+     },
+     {
+      "t": null,
+      "log_step": 87,
+      "text_zh": "推断：本节点要求起滑、起跳、转体落地及滑出完整完成；第6局裁判仅接受起滑阶段并以 stopped 终止，故该整段事件未达成，final=false、无达成区间；这依据具体阶段与结束原因，不是仅由 success=0 反推。"
+     },
+     {
+      "t": 5.72,
+      "log_step": null,
+      "text_zh": "观察：已查看本次视频全程约每0.25秒的帧、视频1.4—3.3 s的密集帧及视频4.72—5.72 s的逐帧画面，均为场地远景，近景雪坡遮挡部分赛道，无法可靠辨认机器人和雪板；视频5.72 s亦不能检查转体、落地或过线。成功参考视频全程抽帧也存在相同可见性缺口，不能用空景断定没有动作。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频0—5.72 s无法可靠辨认机器人、雪板及触雪点，且无状态接触日志；虽第6局执行了起滑控制并被裁判接受起滑，仍无法核实实际作用端及接触方式，故不照抄DAG的典型支撑方案。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 87,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 85 的脚本已实际执行起滑蹬伸及后续固定姿态控制；log step 87 的第6局服务裁判报告 stages_reached=1、outcome=stopped、done=true，未进入完成整次转体滑出的结果。视频全程不能辨认机器人，不能定位动作出错的视频时刻，故 t=null；断点为正在执行且未修复的“转体落地滑出”节点。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": null,
+    "log_step": 87,
+    "evidence_zh": "推断：log step 87 的实时服务裁判对第6局返回 outcome=stopped、stages_reached=1；按本任务滑行停滞判据，这是起滑后速度连续低于0.3米/秒达到3秒，机器人未能保持向跳台的滑行。因此记全身·步态（滑行停滞）；依据是该局裁判的物理规则结果，而非早先局的摔倒或 agent 最终总结。画面不能核实支撑丢失，故不另标平衡。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": null,
+    "log_step": 85,
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 85 的已执行脚本在蹬伸时设置双踝 lean=0.18，检测前俯后切换到固定 Q0，后续循环持续保持 Q0而未按姿态误差调整。log step 87 中 agent 对该局服务本体感受数据的计算输出显示，仿真2.40 s俯仰约−57度、仿真2.85 s约−73度，后续仍大幅前俯，最后服务裁判返回 stopped；这些代码及反馈支持起滑到滑行的控制未能维持有效运动。仅归总体控制：无法从远景核实接触布局，也没有验证删除 lean 参数就能修复，故不细分参数调试或抓取和接触设计。"
+   }
+  ],
+  "gap_zh": "本次及成功参考视频均缺乏可辨认机器人和雪板的视角；无 inputs/states.jsonl 或逐帧状态路径，无法核实支撑、身体触雪、精确停滞起点及具体接触，contact_actual记未知。第6局具体裁判结果可判定整段事件未完成及滑行停滞，但姿态变化仅来自agent对本体感受数据的计算，控制根因为推断。未找到能与控制步计数核对的可见事件，故未把仿真5.74 s或任何agent时钟映射为视频断点，breakpoint.t为空。评分器未报告三个原生指标的数值，均记null。"
+ },
+ "summary_zh": "评分对应最后一次第6局：服务裁判仅接受起滑（原生阶段1/4），随后以 stopped 结束，完整“转体落地滑出”节点未达成，最终0/1。起滑后的滑行停滞记全身·步态；执行脚本切换为固定姿态后仍持续大幅前俯的日志支持总体控制问题。视频及成功参考均无法可靠辨认机器人，实际接触和出错的视频时刻无法核实，控制细分原因亦未获验证。",
+ "conf": 6,
+ "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、t=null、contact_actual 未知与根因停在「控制」均有 log step 87 的服务裁判读数（stopped、stages_reached=1）支持；视频全程为无机器人的远景，与标签所述一致，未发现需改动的内容。",
+    "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": "2026-10-31T00:46:44Z",
+  "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-freeski-360-i00-standard--srekgg4/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-standard--srekgg4/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "107bd788ad69a592baf35f4eb4f8b9831061cdd123d7a8974f2d64f92238e59d",
+   "video_sha256": "9820720124ec304d89d87ba7c0dade76799f1382aa27fab710e4f037429492f8",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--tachtmw.json b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--tachtmw.json
new file mode 100644
index 0000000000000000000000000000000000000000..f52955ba865f8171977b936606a16bfbdd470cea
--- /dev/null
+++ b/phase2/embodied-olympics-fun/freeski_360/trajectories/embodied-olympics-fun-freeski-360-i00-standard--tachtmw.json
@@ -0,0 +1,193 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-freeski-360-i00-standard--tachtmw",
+ "taskKey": "embodied-olympics-fun/freeski_360",
+ "dag_sha256": "861efa8ce64a6c121798b9927345b65cbb761cb3b91579bd06a292aa528db572",
+ "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": 1041,
+   "sim_steps": 4961,
+   "calls": 107,
+   "rows": 4951,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 5834.9,
+   "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-freeski-360-i00-standard--tachtmw/replay.mp4",
+  "duration_s": 10.44,
+  "fps": 25.0,
+  "frames": 261,
+  "sha256": "c6790c7681a10a4e43f4ac8a87aa1491dd2f87ee6562f2638eccf8249716dc49"
+ },
+ "state": null,
+ "progress": {
+  "method": "log",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "spin_360_ridden_away": {
+    "method": "log",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": null,
+      "log_step": 178,
+      "text_zh": "观察：log step 178 的机器人实时服务返回重置至 episode 6、resets_left=0，随后返回六轮双腿关节指令后的骨盆 IMU 读数；log steps 179–182 继续提交起滑和助滑指令。该回合为最后一次实时尝试，先前回合和本地 MuJoCo 模型测试不计入本节点。"
+     },
+     {
+      "t": 5.88,
+      "log_step": null,
+      "text_zh": "观察：本次视频按约0.5秒间隔检查全程，并查看视频 5.88 s 原分辨率帧及视频 9.20–10.40 s 每帧；画面为固定场地远景，近景雪坡遮挡运动区域，无法可靠辨认机器人、雪板及其接触。成功参考视频全程粗查及参考视频 12.00 s 原分辨率帧同样无法辨认动作，故不能凭本次空景判定起跳、转体或摔倒。"
+     },
+     {
+      "t": null,
+      "log_step": 186,
+      "text_zh": "观察：log step 186 的机器人实时服务状态为 episode=6、control_steps=1041、done=True、reason=failed；run.json 的评分字段为 graded_by_live=1、live_success=0、finalized=1、infra_error=0。"
+     },
+     {
+      "t": null,
+      "log_step": 186,
+      "text_zh": "推断：本 DAG 唯一事件节点绑定整次有效转体、落地并滑出终点的成功验收；最后实时回合已由服务终结为 failed，且评分确认 live_success=0，故完整节点从未锁存达成，intervals=[]、final=false。这不能判定各中间动作是否发生，也不表示没有尝试。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频全程远景无法可靠辨认双靴、雪板或身体与雪面的接触，且未提供状态接触日志；log steps 178–183 表明已实施本节点的关节控制尝试，但不能据指令将典型的腿部经雪板支撑接触当作已观察事实。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "trick_spin_deg",
+   "unit": "deg",
+   "threshold": 360,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_heading_deg",
+   "unit": "deg",
+   "threshold": 45,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "ride_turn_deg",
+   "unit": "deg",
+   "threshold": 90,
+   "direction": "lower_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "spin_360_ridden_away",
+   "t": null,
+   "log_step": 186,
+   "where": "操作中",
+   "evidence_zh": "推断：log steps 178–182 显示最后的 episode 6 已执行双腿起滑与助滑控制，log step 183 启动继续助滑的闭环脚本，log step 186 的实时服务随后报告该回合 done=True、reason=failed，因此失败归于正在尝试的完整转体落地滑出节点。视频全程及视频 9.20–10.40 s 的逐帧检查均不能可靠辨认机器人，无法定位失败发生的画面时刻，t 保留 null；不把视频结束点当作失败时刻。"
+  },
+  "unmet": {
+   "spin_360_ridden_away": false
+  },
+  "phenomena": [],
+  "root_causes": [],
+  "gap_zh": "观察：inputs/ 提供本次视频、run.json、video.json 和成功参考视频，但没有逐帧状态日志。视频全程及末尾密集检查均无法可靠辨认机器人和雪板，成功参考视频同样存在遮挡；最终 episode 6 的 log step 186 只返回 failed，未记录具体裁判 outcome、stages_reached、接触对或三项原生指标，log step 183 的后台脚本后续逐段观测输出也未见于提供的日志。推断：这些证据足以确认完整事件节点未达成及其已被尝试，却不能区分失衡、滑行偏航、起跳或转体不合格等具体失败现象，更不能确定根因；两层留空，接触标未知。log step 70 的 outcome=fell、stages_reached=1 属于重置前的 episode 1，不能套用到评分回合；log step 188 在评分回合结束后写出的含转体阶段的 gen.py 未执行，也不能当作视频动作。"
+ },
+ "summary_zh": "最后一次实时评分尝试为 episode 6，已执行起滑及助滑关节控制，但服务在 log step 186 报告 failed，完整“转体落地滑出”节点未达成，最终为0/1。断点归于该节点操作中；本次及成功参考视频均为无法可靠辨认机器人的遮挡远景，且最终回合缺少具体裁判判负原因和后段观测，故失败时刻、实际接触、失败现象及根因无法确定。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签保守且与证据一致：视频（约10.44 s，对应最后回合 control_steps=1041×0.01 s）全程为遮挡远景，无法辨认机器人；log step 186 服务报告 episode 6 done=True、reason=failed，run.json 评分 live_success=0，故节点 final=false、断点在该节点、t 为 null、现象与根因留空并有 gap_zh 均成立。log 中 episode 6 最后一段闭环脚本（step 183）输出缺失，无法区分具体失败现象。",
+    "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": "2026-10-31T00:43:44Z",
+  "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-freeski-360-i00-standard--tachtmw/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-freeski-360-i00-standard--tachtmw/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "06da8c7d1d49009bc42784e858b2a601ee6e54de7ff60cc0a63329379d7091e4",
+   "video_sha256": "c6790c7681a10a4e43f4ac8a87aa1491dd2f87ee6562f2638eccf8249716dc49",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--6gqj8cq.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--6gqj8cq.json
new file mode 100644
index 0000000000000000000000000000000000000000..345475974ed4112472f2d5d6d261540b9f75fadf
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--6gqj8cq.json
@@ -0,0 +1,338 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-privileged--6gqj8cq",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 331,
+   "sim_steps": 331,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 2.79,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.095,
+   "metric_touches": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 71,
+   "agent_resets": 2,
+   "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": 0.512,
+   "peak_processes": 11,
+   "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-juggling-i00-privileged--6gqj8cq/replay.mp4",
+  "duration_s": 3.32,
+  "fps": 25.0,
+  "frames": 83,
+  "sha256": "cdc4d65381318ba46c1aa2c6a907cd8680f5b1b3510be8c3d2bd2c68efc232ff"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.4,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–2.92 s，机器人先在双掌之间持球，随后把重心移到支撑腿并抬起右腿，球仍在手前，尚无离体击起后的回升。"
+     },
+     {
+      "t": 3.12,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 2.92–3.28 s，机器人张开双掌，球持续下降，从抬起的腿旁经过并落到草地；未见合法部位把球击起后回升一个球直径。inputs/run.json 的评分器字段 metric_touches=0、stages_reached=0，与画面一致，第1次有效颠球未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.0–2.92 s，两臂末端平掌共同夹持并移动足球，之后分开释放。候选：双掌挤压夹持；单掌没有合围或夹爪闭合，故不标抓握。此为首次颠球尝试的持球、释放准备接触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.0–1.8 s，双脚接触草地支撑身体；视频约 2.0–3.28 s，左脚承重，右腿抬起尝试迎球。未观察到右腿实际击起足球，不把尝试击打写成已发生的击打接触。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第2次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第3次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第4次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第5次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第6次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第7次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第8次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第9次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.28,
+      "log_step": null,
+      "text_zh": "推断：视频 0.0–3.28 s 仅出现持球、抬腿、放球和持续下落，球未出现第1次有效颠球所需的离体回升；评分器 metric_touches=0、stages_reached=0 进一步确认计数为零。因此依次锁存的第10次颠球未成立，其前置计数也未达到，评分尝试没有进入这一轮击球。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 0.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": 0.095,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 3.12,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 2.0 s 起机器人抬右腿准备首次颠球；视频 3.04–3.20 s，已释放的球从右腿旁持续下降，右腿的迎击没有使球回升，视频 3.28 s 球到达草地。评分器记录 0 次有效颠球且 episode_over=1；log step 86 对当时331行交付文件的官方回放也返回 the ball touched the ground。首次颠球一直未修复，故断点为 valid_touch_1。"
+  },
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 3.12,
+    "log_step": null,
+    "evidence_zh": "观察：视频 3.00–3.28 s，球离开双掌后从抬起的右腿旁持续下降并落到草地，未见被腿击起后回升；机器人保持左脚支撑。推断：放球路线横向偏离右大腿迎击面；inputs/run.json 的 log step 84 会话测试在控制步295记录球 y=+0.095 m、右大腿参考点 y=-0.03 m，支持空间错位，画面没有提供接触过早或过晚的独立证据。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "已验证有",
+    "t": 3.12,
+    "log_step": 84,
+    "evidence_zh": "推断：视频 3.04–3.28 s 的落球路线没有与右大腿迎击面接合，符合持球到腿部击球之间的接触几何未对齐。inputs/run.json 的 log step 84 测试采用随后写入 gen.py 并在 log step 86 回放验证的参数：控制步295的球 y=+0.095 m、横向速度 vy=+0.27 m/s，右大腿参考点 y=-0.03 m；控制步310的球 y=+0.135 m，而右大腿参考点 y=-0.04 m、右膝参考点 y=-0.06 m。log step 88 的 NOTES 是 agent 对该版本横向漏球的自述，与这些测试读数一致，仅作补充。log step 89 改大腰部调平参数后的另一场会话测试，控制步310的球 y=+0.133 m、右大腿参考点 y=-0.05 m、右膝参考点 y=-0.06 m，也呈横向分离；这组读数与 log step 84 分开引用，两者均不当作本次视频的逐帧状态。成功参考 inputs/oracle/replay.mp4 的参考视频 8.24–8.64 s 可见头球后离体上升，oracle.json 标明该参考成功，验证了另一种合法接触方案存在。",
+    "source_zh": "日志",
+    "note_zh": "已验证的替代方案是成功参考中的头球路线；本次右大腿方案的可行修正没有经过成功验证。"
+   }
+  ],
+  "gap_zh": "本次没有状态日志或逐物理步接触记录；单一远景可确认持续下落和无有效回升，但不能排除未计数的极短擦碰，也不能精确测量持球滑移及接触力。横向错位根因结合视频与会话诊断推断。inputs/run.json 的 log step 86 对当时331行文件回放并记录了末状态哈希；log step 89 改参数后运行 fftest.py，没有再调用官方回放。该脚本已在 log step 79 加入 s.save_trajectory()，log step 81 的后续编辑未删除该调用，且 log step 89 的输出筛选会隐藏 saved 提示，因此不能称其为不保存的纯测试。log step 90 仅有分钟级时间戳和相同的331行形状，不能据此证明文件未被改写；最后文件与 log step 86 哈希的对应关系仍未直接核实。log step 84 和89的读数分别作为不同参数的会话证据，不与视频逐帧绑定。"
+ },
+ "summary_zh": "机器人完成了持球、向左支撑腿转移重心、抬右腿和放球准备，但视频 3.04–3.28 s 中球从腿旁持续下落并触地，十次颠球节点均未达到，原生有效计数为 0。断点是首次颠球，现象为位姿不准，视频与会话诊断支持放球路线和右大腿接触几何横向错位的控制根因。缺少本次状态及接触日志，横向滑移的细节属于推断，最后文件与 log step 86 回放哈希的对应关系仍未直接核实；会话早期的摔倒不属于本次评分视频。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "进度全假、断点 valid_touch_1 与视频一致（球约 2.96 s 离手，3.28 s 落地，无回升，metric_touches=0）。但现象“动态时机”与自己的根因证据（球横向漂移、释放时落点偏离大腿）自相矛盾：日志指出的是横向落点错位，不是时机早晚，应为位姿不准。gap_zh 对 log step 89 的描述也不准确。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "十个节点全为假，断点 valid_touch_1 与视频及评分器（metric_touches=0）一致；位姿不准与根因证据自洽，gap_zh 如实标明版本对应缺口。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": "2026-10-31T00:50:50Z",
+  "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-juggling-i00-privileged--6gqj8cq/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--6gqj8cq/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--6gqj8cq/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--6gqj8cq/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "1d179fbbced8e76d70149f1228ec6aec5d8e4baf3c48c31261a245d7802118fe",
+   "video_sha256": "cdc4d65381318ba46c1aa2c6a907cd8680f5b1b3510be8c3d2bd2c68efc232ff",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--ae4cve4.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--ae4cve4.json
new file mode 100644
index 0000000000000000000000000000000000000000..3d3aad95d456ae9878de3ccbb9c3ed9736c93ea3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--ae4cve4.json
@@ -0,0 +1,477 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-privileged--ae4cve4",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 905,
+   "sim_steps": 905,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 10,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 5.41,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 1.628,
+   "metric_touches": 10.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 104,
+   "agent_resets": 106,
+   "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": 14.721,
+   "peak_processes": 25,
+   "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-juggling-i00-privileged--ae4cve4/replay.mp4",
+  "duration_s": 9.08,
+  "fps": 25.0,
+  "frames": 227,
+  "sha256": "3e198791e13f775d11036ae95b55e3d98577732ad011385685dcece1b539046a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 10,
+  "final": 10,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.84,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.68,
+      "log_step": null,
+      "text_zh": "观察：视频约 3.68 s，足球从已分开的双掌之间下落至机器人头顶，随后被顶起；已逐帧检查视频 3.56 s 至视频 3.96 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 3.84,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 3.84 s 的离头回升画面定位第1次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第1次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.32,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.2,
+      "log_step": null,
+      "text_zh": "观察：视频约 4.20 s，足球再次落到机器人头顶，随后离头回升；已逐帧检查视频 4.08 s 至视频 4.44 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 4.32,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 4.32 s 的离头回升画面定位第2次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第2次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.84,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.68,
+      "log_step": null,
+      "text_zh": "观察：视频约 4.68 s，足球下落至机器人头顶，机器人伸膝抬头后球重新上升；已逐帧检查视频 4.56 s 至视频 4.96 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 4.84,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 4.84 s 的离头回升画面定位第3次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第3次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.36,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.24,
+      "log_step": null,
+      "text_zh": "观察：视频约 5.24 s，足球落近机器人头顶后再次向上弹离；已逐帧检查视频 5.12 s 至视频 5.48 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 5.36,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 5.36 s 的离头回升画面定位第4次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第4次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.76,
+      "log_step": null,
+      "text_zh": "观察：视频约 5.76 s，机器人在球下落时抬高头部，球离头向上飞起；已逐帧检查视频 5.64 s 至视频 6.00 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 5.92,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 5.92 s 的离头回升画面定位第5次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第5次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.44,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.28,
+      "log_step": null,
+      "text_zh": "观察：视频约 6.28 s，足球落到机器人偏左倾的头顶后再度升高；已逐帧检查视频 6.16 s 至视频 6.60 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 6.44,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 6.44 s 的离头回升画面定位第6次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第6次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.96,
+      "log_step": null,
+      "text_zh": "观察：视频约 6.96 s，足球从较高位置落回机器人头顶，随后离头向上飞起；已逐帧检查视频 6.84 s 至视频 7.24 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 7.08,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 7.08 s 的离头回升画面定位第7次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第7次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.72,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.6,
+      "log_step": null,
+      "text_zh": "观察：视频约 7.60 s，足球下落接近机器人头顶后再次回升；已逐帧检查视频 7.48 s 至视频 7.92 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 7.72,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 7.72 s 的离头回升画面定位第8次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第8次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [
+     [
+      8.44,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 8.32,
+      "log_step": null,
+      "text_zh": "观察：视频约 8.32 s，足球落至机器人头顶附近后再次上升，与头部分离；已逐帧检查视频 8.20 s 至视频 8.60 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 8.44,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 8.44 s 的离头回升画面定位第9次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第9次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.04,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 8.96,
+      "log_step": null,
+      "text_zh": "观察：视频约 8.96 s，足球最后一次落近机器人头顶后被顶起，末帧球已在头顶上方且机器人仍站立；已逐帧检查视频 8.84 s 至视频 9.04 s 的下落、头顶邻接和离体回升画面，双掌处于球两侧，未见再次夹球。"
+     },
+     {
+      "t": 9.04,
+      "log_step": 112,
+      "text_zh": "推断：以视频约 9.04 s 的离头回升画面定位第10次有效颠球达成，视频时间为近似值（约有 0.1 s 误差）；log step 112 对实际交付轨迹的官方回放明确列出 touch 1 至 touch 10，metrics.touches=10、success=True，支持本次通过高度、时窗及速度判据，非仅凭一次可见碰球计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选：击打；第10次由机器人头顶短促撞击足球，使球离头上升。现有怎么碰取值不能准确表示击打，故用其他；不是脚或腿击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在草地上承重，双腿屈伸配合头部迎球，未见倒地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better",
+   "value": 10.0
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.628
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人先把双掌夹持的足球举过头顶并释放，在视频约 3.68 s 至视频 9.04 s 连续用头顶击球，十个事件节点全部完成并锁存，末帧机器人仍站立、球仍在空中。评分器记录 touches=10、stages_reached=10/10、success=1；log step 112、113 显示实际交付轨迹两次官方回放均成功且末状态哈希一致。无状态日志，也无独立参考成功视频；各次达成时间按逐帧回升画面近似定位，毫秒级接触时窗和离球/入球速度比例不能从此视角独立测定，其有效性由原生裁判结果确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，十个触球节点均到达，视频 3.84–9.04 s 的时间与 log step 112 的官方回放（touch 1–10、time_s 9.05）一致；接触标注（头击打=腿/躯干+其他、双脚支撑）符合 S16，无 failure 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": "2026-10-31T00:46:05Z",
+  "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-juggling-i00-privileged--ae4cve4/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--ae4cve4/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "98ba1d8f809a7fe686fcc43fbc5cf44d5ed867151fa6e0f48d5dfb95cf2891a2",
+   "video_sha256": "3e198791e13f775d11036ae95b55e3d98577732ad011385685dcece1b539046a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--d9mbrka.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--d9mbrka.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e78f56bd277571a2d051ae7583216909eaffbb8
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--d9mbrka.json
@@ -0,0 +1,425 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-privileged--d9mbrka",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1015,
+   "sim_steps": 1015,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 10,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 13.15,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 1.609,
+   "metric_touches": 10.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 92,
+   "agent_resets": 698,
+   "agent_replays": 6,
+   "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-juggling-i00-privileged--d9mbrka/replay.mp4",
+  "duration_s": 10.16,
+  "fps": 25.0,
+  "frames": 254,
+  "sha256": "0432f93aaf531c3bac1a02c47e815046202f34743eb1d3a1855ab177f28b7f01"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 10,
+  "final": 10,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.32,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 4.12–4.20 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 4.24–4.40 s，球反向上升并与头分离，构成按顺序观察到的第1次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第1次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第1次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。此前视频 0–4.04 s，机器人用左右平掌共同挤持足球并举至头顶，随后双掌分开释放；该先行接触为双臂挤持，无手指包围或单手夹紧，不能称为抓握。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.76,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.76,
+      "log_step": null,
+      "text_zh": "观察：视频 4.56–4.64 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 4.68–4.88 s，球反向上升并与头分离，构成按顺序观察到的第2次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 4.76,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第2次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第2次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.28,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.28,
+      "log_step": null,
+      "text_zh": "观察：视频 5.08–5.20 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 5.24–5.48 s，球反向上升并与头分离，构成按顺序观察到的第3次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 5.28,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第3次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第3次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.92,
+      "log_step": null,
+      "text_zh": "观察：视频 5.68–5.80 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 5.84–6.08 s，球反向上升并与头分离，构成按顺序观察到的第4次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 5.92,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第4次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第4次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.56,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.56,
+      "log_step": null,
+      "text_zh": "观察：视频 6.36–6.48 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 6.52–6.76 s，球反向上升并与头分离，构成按顺序观察到的第5次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 6.56,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第5次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第5次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.2,
+      "log_step": null,
+      "text_zh": "观察：视频 7.00–7.12 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 7.16–7.40 s，球反向上升并与头分离，构成按顺序观察到的第6次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 7.2,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第6次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第6次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.92,
+      "log_step": null,
+      "text_zh": "观察：视频 7.68–7.84 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 7.88–8.12 s，球反向上升并与头分离，构成按顺序观察到的第7次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 7.92,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第7次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第7次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [
+     [
+      8.64,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 8.64,
+      "log_step": null,
+      "text_zh": "观察：视频 8.44–8.56 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 8.60–8.84 s，球反向上升并与头分离，构成按顺序观察到的第8次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 8.64,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第8次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第8次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.4,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 9.4,
+      "log_step": null,
+      "text_zh": "观察：视频 9.20–9.32 s，足球下降至机器人头顶，机器人屈伸身体迎球；视频 9.36–9.60 s，球反向上升并与头分离，构成按顺序观察到的第9次头顶回弹。节点时间取回升阶段的近似帧锚点。"
+     },
+     {
+      "t": 9.4,
+      "log_step": null,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第9次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第9次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [
+     [
+      10.12,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 10.12,
+      "log_step": null,
+      "text_zh": "观察：视频 9.92–10.08 s，足球下降至机器人头顶；视频 10.12 s 的末帧中球已重新上升，机器人仍双脚站立，双掌分在球两侧。末次回升未完整录出。"
+     },
+     {
+      "t": 10.12,
+      "log_step": 220,
+      "text_zh": "推断：本次评分器字段 replay_success=1、deterministic=1、stages_reached=10、metric_touches=10，结合视频中顺序可辨的十次头顶回弹，判第10次有效计数成立并锁存；接触时长和速度比例采用评分器验收结果，未从像素独立测量。末次起点取视频 10.12 s 的最后可见回升帧，时间约有 0.1 s 不确定性；log step 220 核对最终候选两次成功回放，log step 222–223 确认保存文件及生成器复现一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头顶短促击起足球，双腿支撑并通过身体屈伸配合第10次顶球；候选“击打”，现有推/扫、压/擦、托/舀均不能表达短促碰撞后离体上升。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better",
+   "value": 10.0
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 1.609
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人先用双掌将球举至头顶并释放，视频约 4.32–10.12 s 可顺序辨认十次头顶回弹，十个颠球节点最终全部完成。评分器记录 touches=10、stages_reached=10、replay_success=1、deterministic=1，与最终保存轨迹的验证日志及视频表现一致，无失败断点。没有状态日志，毫秒级触球时长、精确回升高度与速度比例不能由视频独立核验，采用评分器验收结果；第十次回升仅录至视频 10.12 s，完成时间为末帧附近的近似锚点。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "十个颠球节点与评分器 touches=10、stages_reached=10、replay_success=1 及视频一致，约 4.3–10.1 s 可顺序辨认头顶回弹；节点时间、contact_actual（腿/躯干·其他+击打）和无失败断点均合理，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": "2026-10-31T00:42:32Z",
+  "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-juggling-i00-privileged--d9mbrka/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--d9mbrka/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9ca639476ce35ccf71cb3d97cfa27211aaac39101daa529b8a17c7b874f4733d",
+   "video_sha256": "0432f93aaf531c3bac1a02c47e815046202f34743eb1d3a1855ab177f28b7f01",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--de6wseu.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--de6wseu.json
new file mode 100644
index 0000000000000000000000000000000000000000..a615c4a7f4ae938ddd853a91b6e16db2688e33a9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--de6wseu.json
@@ -0,0 +1,326 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-privileged--de6wseu",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "outcome": {
+  "success": 0,
+  "reward": 0.2,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 120,
+   "sim_steps": 120,
+   "horizon": 3000,
+   "episode_over": 0,
+   "progress": 0.2,
+   "stages_reached": 2,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 4.56,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.651,
+   "metric_touches": 2.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 868,
+   "agent_resets": 1496,
+   "agent_replays": 4,
+   "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": 5.967,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.271,
+   "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-juggling-i00-privileged--de6wseu/replay.mp4",
+  "duration_s": 1.24,
+  "fps": 25.0,
+  "frames": 31,
+  "sha256": "5fcabb1fa198db85d4637b0dcc33ec03101c227ff6557dbfb5ddc2abecb3e970"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 2,
+  "final": 2,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      0.6,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.6,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.12–0.40 s，机器人张开双掌让球下落；视频 0.44–0.60 s，右腿迎球后黑白球由低处回升并与腿分离。log step 590 对最终交付文件的重放记录只含顺序阶段 touch 1、touch 2，第一阶段记录于仿真 0.565 s，确认此次回升通过原生判据；视频达到时刻取约 0.60 s，受帧间隔影响。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 0.44–0.52 s，机器人右脚/小腿迎击足球，另一脚支撑草地；候选：击打，现有 how 项不能准确表达短促踢球。初始双掌夹球及释放发生在击球之前。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      0.84,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.84,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.64–0.84 s，机器人抬起左腿再次击球，球离腿后继续向前上方飞行；log step 590 对最终交付文件的重放记录 touch 2 于仿真 0.785 s 成立，metric touches=2，评分器字段 metric_touches=2.0。视频达到时刻取约 0.84 s；此前的第一次计数已成立，此后到视频 1.20 s 未见第三次触球。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 0.68–0.80 s，机器人左脚/小腿击足球，右脚在草地支撑；候选：击打，现有 how 项不能准确表达短促踢球。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.96,
+      "log_step": 405,
+      "text_zh": "观察：视频 0.84–1.20 s，机器人收回左腿，球持续向前飞离，躯干从近直立逐渐向后倾倒，始终没有第三次击球。log step 405 展示的交付生成脚本只安排右、左各一次踢球及随后收腿；log step 589–590 重新生成并重放该文件，仍只有两次计数，未达到第三次。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.92–1.20 s，机器人在第二次击球后的收腿转场中以脚接触草地尝试恢复站姿，身体持续后倾；没有第三次腿球接触。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.00–1.20 s 全部帧只见两次腿部击球，末段球已飞离机器人，未见第4次击球；log step 590 的最终交付重放阶段仅 touch 1、touch 2，评分器 stages_reached=2、metric_touches=2.0，故第4次顺序计数未达到。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.00–1.20 s 全部帧只见两次腿部击球，末段球已飞离机器人，未见第5次击球；log step 590 的最终交付重放阶段仅 touch 1、touch 2，评分器 stages_reached=2、metric_touches=2.0，故第5次顺序计数未达到。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.00–1.20 s 全部帧只见两次腿部击球，末段球已飞离机器人，未见第6次击球；log step 590 的最终交付重放阶段仅 touch 1、touch 2，评分器 stages_reached=2、metric_touches=2.0，故第6次顺序计数未达到。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.00–1.20 s 全部帧只见两次腿部击球，末段球已飞离机器人，未见第7次击球；log step 590 的最终交付重放阶段仅 touch 1、touch 2，评分器 stages_reached=2、metric_touches=2.0，故第7次顺序计数未达到。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.00–1.20 s 全部帧只见两次腿部击球，末段球已飞离机器人，未见第8次击球；log step 590 的最终交付重放阶段仅 touch 1、touch 2，评分器 stages_reached=2、metric_touches=2.0，故第8次顺序计数未达到。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.00–1.20 s 全部帧只见两次腿部击球，末段球已飞离机器人，未见第9次击球；log step 590 的最终交付重放阶段仅 touch 1、touch 2，评分器 stages_reached=2、metric_touches=2.0，故第9次顺序计数未达到。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.2,
+      "log_step": 590,
+      "text_zh": "观察：视频 0.00–1.20 s 全部帧只见两次腿部击球，末段球已飞离机器人，未见第10次击球；log step 590 的最终交付重放阶段仅 touch 1、touch 2，评分器 stages_reached=2、metric_touches=2.0，故第10次顺序计数未达到。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 2.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": 0.651,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_3",
+   "t": 0.96,
+   "log_step": 405,
+   "where": "转场",
+   "evidence_zh": "观察：视频 0.84–0.92 s，第二次击球后机器人收腿，球向前远离；视频 0.96–1.20 s，机器人躯干持续后倾、身体下降，未恢复稳定支撑或接续第三次击球。log step 405 的最终生成脚本在两次踢球后只收腿，log step 590 的交付重放只有两阶段；评分器 episode_over=0、fell=0，交付在正式判倒或球落地之前结束。"
+  },
+  "unmet": {
+   "valid_touch_1": true,
+   "valid_touch_2": true,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 0.96,
+    "log_step": null,
+    "evidence_zh": "观察：视频 0.96–1.20 s，机器人收腿过程中躯干明显向后翻倾，骨盆及上身逐帧降低，到视频 1.20 s 已大幅偏离直立姿态，期间未恢复；球仍在空中飞离。这里标记可见的失衡，不将视频结束之后的倒地或触地当作已发生。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：交付控制未能在第二次踢球后稳定支撑并接续后续颠球。log step 385、405 的生成代码使用预定关节目标，在控制步 80–90 将左腿插值收回，未依据身体姿态或球位修正；log step 589–590 确认该脚本生成的最终文件仍只有两次计数，视频 0.96–1.20 s 显示该收腿阶段持续后倾失衡。log step 552–553 的会话第三次踢球测试另显示脚未跟上飞行中的球，但该测试没有写入最终交付，不用作本次轨迹的触球事实；现有证据不足以细分控制子类。"
+   }
+  ],
+  "gap_zh": "无状态日志，无法逐物理步复核触球部位、接触时窗、回升及速度比例，前两次通过以最终文件重放的裁判阶段和评分器计数佐证，视频时刻为近似。交付在回合尚未终止时结束，不能宣称机器人已触发跌倒判负或足球已经触地；会话中更长测试及第三次踢球测试不属于交付轨迹，不能用来延长节点或补记接触。"
+ },
+ "summary_zh": "机器人释放足球后完成右、左两次有效颠球，最终达到 2/10；两次计数由视频回升动作及最终交付重放的裁判阶段共同支持。第二次击球后的收腿转场中机器人持续后倾失衡，球向前飞离，断点为第3次颠球，根因归为控制；最终脚本没有第三次踢球动作。缺少状态日志，精确接触阈值无法独立复核，且交付结束时裁判尚未判倒或判球触地。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "两次击球节点、第3次起未达到、断点valid_touch_3与后倾失衡现象均与视频帧及评分器字段(stages_reached=2、metric_touches=2、fell=0)一致，未发现需改动的内容。",
+    "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": "2026-10-31T00:44:30Z",
+  "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-juggling-i00-privileged--de6wseu/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--de6wseu/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
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+   "video_sha256": "5fcabb1fa198db85d4637b0dcc33ec03101c227ff6557dbfb5ddc2abecb3e970",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--mwme26l.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--mwme26l.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd286cadd1df8e52a9eebccd740e9c7a2345a593
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--mwme26l.json
@@ -0,0 +1,299 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-privileged--mwme26l",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "outcome": {
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+  "reward": 0.0,
+  "source": "catalog",
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+   "deterministic": 1,
+   "n_actions": 180,
+   "sim_steps": 180,
+   "horizon": 3000,
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+   "stages_reached": 0,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 4.47,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.837,
+   "metric_touches": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 179,
+   "agent_resets": 13,
+   "agent_replays": 8,
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+   "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": {
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+  "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-juggling-i00-privileged--mwme26l/replay.mp4",
+  "duration_s": 1.84,
+  "fps": 25.0,
+  "frames": 46,
+  "sha256": "687f9e510a9cfcb66f557a579103787b658de59759e0bbe76060793703a59ba3"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 0.00–1.80 s（全片46帧），机器人保持双掌夹球，仅轻微调整站姿；球始终在腹前双掌之间，没有离手下落，也没有脚、腿或头击球后的离体回升，第1次颠球未启动。初始持球接触未转入颠球操作，故不列该节点的 contact_actual。"
+     },
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：log step 249 的最终生成脚本只运行 settle 与 narrow 两阶段；log step 250 对该180行交付文件两次回放均报告 touches=0、ball_height_m=0.837，末状态哈希相同；inputs/run.json 的评分器字段 metric_touches=0、stages_reached=0、fell=0、episode_over=0，与视频末帧仍持球一致。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第2次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第3次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第4次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第5次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第6次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第7次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第8次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第9次颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.8,
+      "log_step": 250,
+      "text_zh": "观察：视频 0.00–1.80 s 全片中球一直留在机器人双掌间，未出现离手后连续弹起的球路；log step 250 的最终交付回放及评分器 metric_touches 均为0，第10次颠球未发生。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 0.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": 0.837,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 0.0,
+   "log_step": 249,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 0.00–1.80 s 机器人始终双掌持球，虽收窄站姿，但未释放球或发起首次颠球。log step 249 明确将最终脚本限制为 settle 0.30 s 与 narrow 1.50 s 两个仿真准备阶段并保存；log step 250 证实此交付仅180行、0次有效颠球。评分器未报告跌倒或回合终止，失败发生在首次颠球尚未启动的交付前缀。"
+  },
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0.0,
+    "log_step": 249,
+    "evidence_zh": "观察：视频 0.00–1.80 s 只有机器人持球站立和双脚收窄，球始终没有离开双掌，未出现向脚、腿或头落球的颠球尝试。log step 249 保存的脚本主动省略 lift、release、juggle 等后续阶段；这是未启动第1次颠球的基线前缀。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 248,
+    "source_zh": "日志",
+    "evidence_zh": "推断：未能形成稳定的抬脚控制使 agent 最终只交付持球准备前缀。会话测试 log step 243、245、247、248 的工具输出均显示 narrow 阶段后，在 lift 阶段侧向重心偏移并以 failed=fell 结束、touches=0；log step 248 的低踢变体仍未解决，随后 log step 249 重新生成只含 settle+narrow 的交付，log step 250 验证0次颠球。上述测试解释控制能力缺口，不是本次视频内发生的跌倒；证据不足以细分具体反馈或逆解机制。"
+   }
+  ],
+  "gap_zh": "本目录没有状态日志，无法测量毫秒级接触与力矩；会话中的较长测试不属于评分视频，不能把其中跌倒作为本次失败现象。日志支持抬脚阶段控制未稳定，但无法独立确认 agent 所猜测的髋偏航反力等单一机制，根因仅标控制。参考成功视频仅用于确认可见的离手及头顶弹球形态，不用于本次计数。"
+ },
+ "summary_zh": "观察：本次评分视频 0.00–1.80 s 仅显示机器人双掌持球并收窄站姿，球没有离手或被击起，十个颠球节点均未达到，评分器有效次数为0。推断：断点为第1次颠球的首步前；会话抬脚测试反复控制失稳，agent 最终交付仅含持球准备的180行前缀，本次视频未跌倒。缺少状态日志及会话测试视频，无法确认侧向失稳的具体机制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "视频全程持球、无颠球，10个节点均未达成，断点首步前+没尝试、根因控制（会话证据）均符合规则；日志步号与视频时钟无误。",
+    "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": "2026-10-31T00:42:44Z",
+  "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-juggling-i00-privileged--mwme26l/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--mwme26l/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "0b838041f476b9ffc54e2b27a6b0a31d6022febc5d8591753631d99417b977b5",
+   "video_sha256": "687f9e510a9cfcb66f557a579103787b658de59759e0bbe76060793703a59ba3",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--zg4fqfs.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--zg4fqfs.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc3adbead558ef4f6cdf1d505b097942b63b7f9e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--zg4fqfs.json
@@ -0,0 +1,309 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-privileged--zg4fqfs",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 221,
+   "sim_steps": 221,
+   "horizon": 3000,
+   "episode_over": 1,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 4.39,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.097,
+   "metric_touches": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 69,
+   "agent_resets": 1,
+   "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": 0.977,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.98,
+   "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-juggling-i00-privileged--zg4fqfs/replay.mp4",
+  "duration_s": 2.24,
+  "fps": 25.0,
+  "frames": 56,
+  "sha256": "dab2feb1257d87cc05c114aae36f4cbbc86889bcac7f14b96dedd36283c62387"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–1.84 s 足球保持在机器人双掌之间；视频 1.88–2.20 s 松掌后球下落，机器人抬左腿，球经过左膝/小腿前侧后继续下降至草地，没有出现离体回升一个球直径的过程。log step 126 对最终交付文件的重放返回 touches=0、stages=[]、failed=\"the ball touched the ground\"，与视频末段一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–1.84 s 机器人两只平掌从两侧共同夹住足球，随后双掌分开使球下落。这是首次颠球前的持球及释放准备，依次先于腿部迎球；候选：双掌挤压。没有单手包合，现有方式无准确对应项，故不标抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 1.96–2.08 s 机器人抬左腿迎向下落足球，球与左膝/小腿前侧相接并偏移，随后继续下落；未见脚背从球底将球击起。候选：击打；现有接触方式无击打项，具体碰撞连杆仅凭该视角不能精确区分。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第2次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第3次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第4次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第5次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第6次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第7次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第8次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第9次有效颠球也未达到。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 126,
+      "text_zh": "观察：视频 0.00–2.20 s 仅有初始持球、松掌和一次左腿迎球，随后球落地，没有连续颠球。log step 126 的最终文件重放返回 touches=0、stages=[]；评分器 metric_touches=0。推断：第1次有效颠球尚未成立，按计数顺序，第10次有效颠球也未达到。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 0.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": 0.097,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 2.04,
+   "log_step": 126,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.96–2.08 s 机器人已抬左腿尝试迎球，但下落足球经过膝/小腿前侧后未转为上升，视频 2.20 s 球到达草地，机器人仍站立。log step 123 保存221行最终轨迹，log step 126 重放同一交付文件返回0次触球及球触地终止；首次颠球始终未补成。"
+  },
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.04,
+    "log_step": 126,
+    "evidence_zh": "观察：视频 1.96–2.08 s 足球下落时，机器人左腿正在抬起，球先经过膝/小腿前侧，脚仍在球下方偏后，未形成由脚背向上的迎击；视频 2.12–2.20 s 球继续落地。推断：左腿的迎球动作没有与球的下落配合到有效上击的时空位置，首次颠球失配；不是已经有效颠起后再次漏接。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "log_step": 117,
+    "evidence_zh": "推断：机器人所用左脚迎球布局没有避开同侧膝/小腿对足球下落路径的先行接触，导致脚背尚未到球底时球已被腿部偏转。依据是视频 2.00–2.08 s 的膝/小腿邻接及随后侧移下降；会话诊断 log step 113、115、117 也记录抬腿时球在膝附近出现水平速度突变，而脚仍较低（这些是调试测试，只用于解释根因）。log step 123 最终只修改目标触球高度和脚端高度，重放 log step 126 仍为0次并触地。未验证该左脚布局的可行替代。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 无状态日志；视频仅有一个远景视角，放大后可定位腿部迎球及球落地，但无法精确区分首次接触的膝或小腿碰撞壳，也不能量出毫秒级接触时长和击球速度。推断：接触布局根因结合会话诊断与末段画面判断，未把会话中的其他测试时刻或计数移入本次评分轨迹。"
+ },
+ "summary_zh": "本次评分轨迹完成了双掌释放和左腿迎球尝试，但没有完成第1次有效颠球，最终为0/10。视频约 2.04 s 左腿未在球下落时形成有效向上迎击，球随后触地；推断主要问题是迎球布局让膝/小腿先碰到球，最终文件重放同样报告0次。缺少状态日志，具体碰撞连杆及接触参数不能精确复核。",
+ "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 0–1.84 s 双掌持球，随后松掌，约 2.0 s 球经过左膝/小腿前侧后继续下落，2.2 s 触地；没有离体回升一个球直径的触球，valid_touch_1..10 全为 false、final=0 与评分器 touches=0、stages 0/10 一致。breakpoint 在 valid_touch_1、动态时机与根因判断有视频支持，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": "2026-10-31T00:42:21Z",
+  "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-juggling-i00-privileged--zg4fqfs/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--zg4fqfs/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "5f25abd1521831220ffd6f36cac383bf0a1e1eb649ce20f7371af67f47b90a4a",
+   "video_sha256": "dab2feb1257d87cc05c114aae36f4cbbc86889bcac7f14b96dedd36283c62387",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--zmql697.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--zmql697.json
new file mode 100644
index 0000000000000000000000000000000000000000..9d6c48f31f715e269b006cc190c980eb07fb6269
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-privileged--zmql697.json
@@ -0,0 +1,338 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-privileged--zmql697",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "outcome": {
+  "success": 0,
+  "reward": 0.3,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 174,
+   "sim_steps": 174,
+   "horizon": 3000,
+   "episode_over": 0,
+   "progress": 0.3,
+   "stages_reached": 3,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 3.39,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.909,
+   "metric_touches": 3.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 611,
+   "agent_resets": 0,
+   "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": 1.119,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.849,
+   "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-juggling-i00-privileged--zmql697/replay.mp4",
+  "duration_s": 1.76,
+  "fps": 25.0,
+  "frames": 44,
+  "sha256": "089ed7fb778a15bff32a589945c514ac1e5efacb8b380d82d38c9c623841dac6"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 3,
+  "final": 3,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      0.48,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.48,
+      "log_step": 703,
+      "text_zh": "观察：视频 0.20–0.36 s，机器人张开双掌，球下落到抬起的腿脚处；视频 0.40–0.68 s 球离开腿部并明显回升。log step 701 保存最终文件后，log step 703 的两次独立回放均报告 touch 1、touch 2、touch 3，末状态哈希相同，且球高 0.909 m，与本次评分器字段一致；据画面回升将本节点达到时刻标在视频约 0.48 s，精确接触时窗及速度比例由裁判计数支持。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：机器人用腿脚短促击起足球，球随后离体回升；候选“击打”，现有方式中的推/扫、压/擦和支撑均不能准确表示这种短促碰撞。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      1.04,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 1.04,
+      "log_step": 703,
+      "text_zh": "观察：视频 0.80–0.96 s，机器人另一条腿迎向下落的球；视频 1.00–1.20 s 球再次离腿上升。log step 701 保存最终文件后，log step 703 的两次独立回放均报告 touch 1、touch 2、touch 3，末状态哈希相同，且球高 0.909 m，与本次评分器字段一致；据画面回升将本节点达到时刻标在视频约 1.04 s，精确接触时窗及速度比例由裁判计数支持。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：机器人用腿脚短促击起足球，球随后离体回升；候选“击打”，现有方式中的推/扫、压/擦和支撑均不能准确表示这种短促碰撞。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      1.6,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 703,
+      "text_zh": "观察：视频 1.40–1.48 s，球下降到机器人抬起的腿部附近；视频 1.52–1.72 s 球再次离体上升。log step 701 保存最终文件后，log step 703 的两次独立回放均报告 touch 1、touch 2、touch 3，末状态哈希相同，且球高 0.909 m，与本次评分器字段一致；据画面回升将本节点达到时刻标在视频约 1.60 s，精确接触时窗及速度比例由裁判计数支持。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：机器人在侧倾调整身体时，抬起的腿部附近触球并使球弹起；候选“击打”，现有方式无短促击球项。腿部与球有局部遮挡，无法可靠细分为脚、小腿或大腿。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.64,
+      "log_step": 703,
+      "text_zh": "观察：视频 1.60–1.72 s，第三次回升后的足球仍在空中，与机器人逐渐分离；机器人侧后倾并继续降低身体，没有出现第四次击球及回升。log step 703 的最终文件回放均只列出三个 touch 阶段；评分器 metric_touches=3、stages_reached=3，故第4次未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.60–1.72 s，机器人脚部接地并调整双腿支撑姿态，但身体继续侧后倾；该段未再次触到足球。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 703,
+      "text_zh": "观察：检查视频 0.00–1.72 s 全部帧，仅见三段击球回升，末段球仍悬空；log step 703 的最终文件两次回放及评分器均确认累计仅3次。推断：顺序计数未达到第5次，本节点未完成，视频中也无该节点的独立尝试。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 703,
+      "text_zh": "观察：检查视频 0.00–1.72 s 全部帧，仅见三段击球回升，末段球仍悬空；log step 703 的最终文件两次回放及评分器均确认累计仅3次。推断：顺序计数未达到第6次，本节点未完成，视频中也无该节点的独立尝试。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 703,
+      "text_zh": "观察：检查视频 0.00–1.72 s 全部帧，仅见三段击球回升，末段球仍悬空；log step 703 的最终文件两次回放及评分器均确认累计仅3次。推断：顺序计数未达到第7次，本节点未完成，视频中也无该节点的独立尝试。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 703,
+      "text_zh": "观察：检查视频 0.00–1.72 s 全部帧，仅见三段击球回升，末段球仍悬空；log step 703 的最终文件两次回放及评分器均确认累计仅3次。推断：顺序计数未达到第8次，本节点未完成，视频中也无该节点的独立尝试。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 703,
+      "text_zh": "观察：检查视频 0.00–1.72 s 全部帧，仅见三段击球回升，末段球仍悬空；log step 703 的最终文件两次回放及评分器均确认累计仅3次。推断：顺序计数未达到第9次，本节点未完成，视频中也无该节点的独立尝试。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.72,
+      "log_step": 703,
+      "text_zh": "观察：检查视频 0.00–1.72 s 全部帧，仅见三段击球回升，末段球仍悬空；log step 703 的最终文件两次回放及评分器均确认累计仅3次。推断：顺序计数未达到第10次，本节点未完成，视频中也无该节点的独立尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 3.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": 0.909,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_4",
+   "t": 1.6,
+   "log_step": 703,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.60 s 第三次回升已发生，机器人仍在移动双腿调整身体，随后至视频 1.72 s 持续侧后倾、骨盆下沉，球与身体分开而未再被击起。log step 701 保存的174行文件在 log step 703 两次回放均停在3次计数、done=false、failed=null；评分器 episode_over=0、fell=0。推断：连续颠球在准备后续触球时中断，下一未完成步骤为第4次；没有证据把本段称为已经倒地或球已触地。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.6,
+    "log_step": null,
+    "evidence_zh": "观察：视频 1.60、1.64、1.68、1.72 s 连续帧中，机器人上身持续侧后倾，骨盆逐渐下沉，末帧身体已明显偏离直立支撑姿态，未恢复。推断：机器人未能稳住连续踢球后的全身平衡；这里记录可见的失衡过程，评分器 fell=0，尚无倒地判罚。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：视频 1.60–1.72 s 中，机器人调整双腿仍未抑制持续侧后倾和身体下沉，无法维持后续击球所需的支撑姿态，支持全身控制不足。log step 701、704 显示最终脚本仍使用双腿支撑力矩（左0.54、右0.535倍 support_tau），最终回放 log step 703 只达到3次；现有证据不足以进一步区分轨迹跟踪、反馈策略或具体参数问题。",
+    "source_zh": "视频 / 日志"
+   }
+  ],
+  "gap_zh": "没有状态日志；25 fps 的远景无法独立测出毫秒级接触时窗、0.95速度比及第三次击球的精确腿段，前三次有效性由与画面一致的最终回放裁判阶段支持。交付轨迹在球仍悬空、裁判尚未判负时结束，不能推断继续执行后一定跌倒或漏球；全身控制的具体失效机制也无法确定。",
+  "unmet": {
+   "valid_touch_1": true,
+   "valid_touch_2": true,
+   "valid_touch_3": true,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  }
+ },
+ "summary_zh": "观察：交付轨迹释放足球后，以腿部完成三次有效颠球，视频约 0.48、1.04、1.60 s 的回升与最终文件两次一致回放的3次计数相符，最终完成3/10节点。推断：第4次颠球的准备过程中，机器人未稳住身体并持续侧后倾，支撑控制不足；轨迹在球仍悬空且未触发裁判终局时结束。没有状态日志，精细接触阈值依靠裁判记录，无法确认截断后的动作及具体控制故障。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "三次有效颠球（约0.48/1.04/1.60 s）与评分器 touches=3 一致，第4次为断点，机器人后段侧后倾失衡的画面可见；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": "2026-10-31T00:44:47Z",
+  "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-juggling-i00-privileged--zmql697/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-privileged--zmql697/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "bb1cc7e6fce8c5a2b2591e16f89c50c1c4e092b34215089e191761a4151bb470",
+   "video_sha256": "089ed7fb778a15bff32a589945c514ac1e5efacb8b380d82d38c9c623841dac6",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--5dytmqi.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--5dytmqi.json
new file mode 100644
index 0000000000000000000000000000000000000000..94db72ac2905130ba57739ae821c908cf2590c99
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--5dytmqi.json
@@ -0,0 +1,311 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-standard--5dytmqi",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "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": 7089.4,
+   "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,
+   "peak_memory_gb": 1.296,
+   "peak_processes": 10,
+   "peak_disk_gb": 2.547,
+   "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-juggling-i00-standard--5dytmqi/replay.mp4",
+  "duration_s": 0.04,
+  "fps": 25.0,
+  "frames": 1,
+  "sha256": "3a2b3d2acae150890a4ff672e79a8dfb55d1ab15b43f610833cc238c6b1d2aef"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "观察：视频唯一一帧（视频 0.00 s，片长 0.04 s）中机器人直立，足球仍在身前双掌之间，没有离手或合法部位击球；log step 8 的正式机器人服务观测给出 control_steps=0、sim_time_s=0、rows=0。评分器最终记录 n_actions=0、sim_steps=0、rows=0，正式 episode 未推进，第1次颠球未开始。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第2次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第3次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第4次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第5次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第6次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第7次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第8次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第9次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0,
+      "log_step": 8,
+      "text_zh": "推断：视频 0.00 s 的唯一画面仍是双掌夹球初态；log step 8 正式服务记录 control_steps=0，评分器最终 n_actions=0、sim_steps=0、rows=0。整个受评 episode 未执行动作，第1次有效颠球尚未发生，故顺序累计的第10次颠球亦未达到；本地测试的计数不计入本次视频。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": null,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 0,
+   "log_step": 8,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 0.00 s（全部视频仅此一帧）显示机器人保持初始双掌夹球姿态，未释放或击球。log step 8 仅调用正式服务的 get_obs（读取相机与传感器，不推进仿真），返回 control_steps=0；评分器最终 n_actions=0、sim_steps=0、rows=0。第1次颠球的工作没有启动，视频 0.00 s 仅作为初态导航锚点。"
+  },
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0,
+    "log_step": 8,
+    "evidence_zh": "观察：视频 0.00 s 的唯一帧中球仍夹在双掌间，机器人站在初位；log step 8 正式服务返回 control_steps=0、rows=0，评分器最终也记录 n_actions=0、sim_steps=0。日志后续运行的是 agent 自建本地模型，正式受评机器人从未开始第1次颠球。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "没有状态日志，正式受评视频仅包含视频 0.00 s 的初始一帧，不能展示任何运动过程；但评分器记录 n_actions=0、sim_steps=0，足以确认正式 episode 未推进。log step 12、17-18 显示 agent 自建 MuJoCo 模型并开发控制器，log steps 74、153、154 的 fall_pelvis 均为本地测试结果；log step 155 预算服务报告剩余墙钟 69.7 秒，run.wall_s=7207、time_limit_s=7200，整个会话结束前仍未向正式服务提交动作。自建模型与正式服务的物理一致性未验证，本地失衡不能迁移为受评机器人的控制根因；按 DECISIONS.md D23 Now (a) 保留根因空层，不以预算耗尽作根因。正式 episode 有零动作初态视频，按 03_trajectory.md Step 3.1-3.2 保留首步前及没尝试。评分器未报告 touches、ball_height_m，原生指标值保留 null；本地测试输出不替代正式指标。"
+ },
+ "summary_zh": "受评视频只有视频 0.00 s 的初始双掌夹球画面，评分器记录动作数与仿真步数均为 0，十个颠球节点均未达到（0/10）。断点为第1次颠球／首步前，现象是没尝试；agent 在自建模型中开发控制器直至墙钟预算结束，未向正式服务提交动作。正式 episode 没有运动证据，自建模型与正式服务的一致性未核实，本地失衡不足以确定受评机器人的失败根因，故根因留空。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点全 false、断点首步前/没尝试均有评分器 n_actions=0、sim_steps=0 与唯一帧支持，无异议。问题在根因：“控制”完全依据 agent 在自建 MuJoCo 模型里的失衡测试，那不是受评机器人，日志中正式服务从未提交动作（所有步 sim.submit=0），不能据此归因正式机器人的控制能力；按 DECISIONS D23 Now 应留空并写 gap_zh。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "第1轮问题已修复：根因层为空并有 gap_zh；节点全 false、断点首步前/没尝试均有评分器 n_actions=0、sim_steps=0 与唯一帧支持，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": "2026-10-31T00:50:57Z",
+  "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-juggling-i00-standard--5dytmqi/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--5dytmqi/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--5dytmqi/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--5dytmqi/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8b39c3f261b8f62c166e0bdefd835095a98204285103def09f947a24635927f8",
+   "video_sha256": "3a2b3d2acae150890a4ff672e79a8dfb55d1ab15b43f610833cc238c6b1d2aef",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--eeqc8ou.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--eeqc8ou.json
new file mode 100644
index 0000000000000000000000000000000000000000..be80e0146382acbcbbb39952b6b81f7b831e10a2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--eeqc8ou.json
@@ -0,0 +1,318 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-standard--eeqc8ou",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "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": 163,
+   "sim_steps": 7189,
+   "calls": 681,
+   "rows": 7189,
+   "resets": 47,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 4864.3,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.144,
+   "peak_processes": 15,
+   "peak_disk_gb": 2.641,
+   "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-juggling-i00-standard--eeqc8ou/replay.mp4",
+  "duration_s": 1.64,
+  "fps": 25.0,
+  "frames": 41,
+  "sha256": "4e1040735a041317bda072ea545225ecbe9e3a950fb2e2e30b7db4292143d5ce"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.24,
+      "log_step": null,
+      "text_zh": "观察：已逐帧检查视频 0.00–1.60 s。机器人先用双掌夹球并屈膝、调整脚位；视频 1.16 s 球仍在双掌附近，视频 1.24–1.40 s 球降到掌下和腿前，视频 1.44–1.60 s 继续落向草地，未见合法部位将球击起并回升一个球直径。"
+     },
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：log step 242 明确运行交付的 gen.py 作为最后评分局；机器人服务返回 episode=48、control_steps=163、sim_time_s=1.63、outcome=\"the ball touched the ground\"、stages_reached=0、stages_total=10。视频 1.60 s 末帧球已在脚前接近草地，和该局结束状态一致，第1次有效颠球未成立。"
+     },
+     {
+      "t": 1.24,
+      "log_step": 197,
+      "text_zh": "推断：log step 197 保存的交付脚本以每控制步 0.01 s 运行，log step 242 最后评分局的 163 步对应仿真 1.63 s，与视频总长 1.64 s 及视频 1.56–1.60 s 球落近地面的事件相符，可在一帧量级误差内对照。脚本设仿真 1.55 s 才开始张掌，视频约 1.24 s 球已在掌下，因此是持球摆臂过程中提前脱落，而非预定释放后完成颠球。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "候选：双掌挤夹。机器人两只平掌从足球两侧同时挤压持球并随双臂移球，随后球从掌间脱出；没有手指包围球，抓握不适用。该初始持球及释放过程并入首次颠球的尝试。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人用双脚与草地接触承重，屈膝、移重并调整脚位，为首次脚部接球作准备；未观察到把球击起的有效脚、腿或头部接触，不据计划添加击打接触。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第2次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第3次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第4次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第5次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第6次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第7次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第8次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第9次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.6,
+      "log_step": 242,
+      "text_zh": "观察：视频 0.00–1.60 s 仅有首次持球准备、球离掌并落向脚前草地的过程，没有连续颠起；最后评分局 episode=48 的机器人服务在 log step 242 返回 stages_reached=0/10。推断：第10次有效颠球及其顺序前置均未成立，该节点未被实际执行。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 1.24,
+   "log_step": 242,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.24 s，机器人为首次脚部颠球而持球调整姿势时，足球已降到双掌下方，随后在视频 1.28–1.60 s 持续落向脚前草地，没有被有效颠起。log step 242 最后评分局的机器人服务报告球触地、有效阶段 0/10；首次颠球的失败没有得到修复。"
+  },
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没保持住",
+    "t": 1.24,
+    "log_step": 197,
+    "evidence_zh": "观察：视频 1.16 s 足球仍在机器人双掌附近，视频 1.24–1.32 s 已滑到双掌下方、腿部前方并继续下落。log step 197 保存的交付动作将张掌安排在仿真 1.55 s，log step 242 确认最后评分局运行此交付脚本。推断：球在预定张掌前从双掌挤夹中提前脱落，机器人未保持住持球接触，直至球触地也未补救。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 1.24,
+    "log_step": 197,
+    "evidence_zh": "推断：交付控制未能在移重、屈膝与持球摆臂时保持球和双掌的稳定相对位置，导致预定释放前滑落。依据是视频 0.48–1.24 s 机器人明显摇摆、球随后降到掌下；log step 197 的交付脚本在仿真 1.20–1.55 s 执行持球摆臂，仿真 1.55 s 才张掌，脚踝颠球动作更晚才启动；log step 242 的同一评分局还报告仿真 1.30 s 起左踝俯仰目标被限位裁剪。视频和指令偏离支持控制层归因，但不足以确定掌间受力、轨迹跟踪或反馈增益中哪项主导。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志或双掌接触力记录，无法确定滑脱的毫秒级时刻和具体受力原因，也无法排除下降中极短的腿部擦碰；视频及最后评分局服务的 0/10 阶段记录足以确认所有有效颠球节点均未达成。视频最后采样帧为视频 1.60 s，球触地的终止判定来自 log step 242 的仿真 1.63 s 服务结果；ball_height_m 未报告，保留 null。会话中较早的跌倒和抬膝试验均未作为本评分局现象。"
+ },
+ "summary_zh": "最后评分局中，机器人完成了持球移重和脚位调整，但在视频约 1.24 s 持球摆臂时足球提前滑出双掌，未形成第1次有效颠球，十个节点最终均未达成。log step 242 的机器人服务以球触地结束该局并报告 0/10；现象为没保持住，根因归于控制。缺少掌间接触力和状态日志，无法进一步判定具体控制子类或短暂擦碰，球心绝对高度指标也未报告。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频 0–1.64 s 与标注一致：球在双掌间被带动，约 1.24 s 起滑落并在 1.60 s 前接近草地；log step 242 服务返回 episode=48、control_steps=163、stages_reached=0/10、球触地，十个节点均未达成，断点 valid_touch_1、现象没保持住、根因控制均有证据支持，时钟与 log 步号有效。",
+    "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": "2026-10-31T00:46:59Z",
+  "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-juggling-i00-standard--eeqc8ou/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--eeqc8ou/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d89b8b8757c038defa674313e7d367550e684082909a3f99a1b08c8f3b33766f",
+   "video_sha256": "4e1040735a041317bda072ea545225ecbe9e3a950fb2e2e30b7db4292143d5ce",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--k6gbyep.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--k6gbyep.json
new file mode 100644
index 0000000000000000000000000000000000000000..299ea909e83134c400aea0a686700d540ee60901
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--k6gbyep.json
@@ -0,0 +1,337 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-standard--k6gbyep",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "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": 490,
+   "sim_steps": 19373,
+   "calls": 4613,
+   "rows": 19349,
+   "resets": 49,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 1746.4,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.017,
+   "peak_processes": 12,
+   "peak_disk_gb": 2.94,
+   "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-juggling-i00-standard--k6gbyep/replay.mp4",
+  "duration_s": 4.92,
+  "fps": 25.0,
+  "frames": 123,
+  "sha256": "4358b70df207a1529a3847b4e06775867afc5a7e8b44833d6d12dcebfba18e35"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 3,
+  "final": 3,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.36,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.36,
+      "log_step": 112,
+      "text_zh": "观察：视频 3.12–3.24 s 机器人张开双掌，足球落向抬起的右大腿；视频 3.28–3.52 s 球离开腿向上回升，回升超过约一个球直径。log step 112 的机器人服务最终返回 stages_reached=3、stages_total=10，确认包含第1次有效计数；达标锚点取视频约 3.36 s。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：机器人以右大腿短促击打足球完成第1次回升，左脚同时接触草地支撑身体；how=其他，候选“击打”，持续推、压或托不能表达该短促击球。 此前双掌平垫挤夹球并张开释放，未见手指包围式抓握。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.96,
+      "log_step": 112,
+      "text_zh": "观察：视频 3.60–3.84 s 足球回落至右大腿，视频 3.88–4.16 s 再次离腿上升，回升超过约一个球直径；机器人保持左脚单脚支撑。log step 112 的服务最终计数为3，确认包含第2次；达标锚点取视频约 3.96 s。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：机器人以右大腿短促击打足球完成第2次回升，左脚同时接触草地支撑身体；how=其他，候选“击打”，持续推、压或托不能表达该短促击球。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.64,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.64,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.36–4.52 s 足球第三次落向右大腿，视频 4.56–4.76 s 球再次向上回升，超过约一个球直径。log step 112 的服务最终计数为3，确认本次有效；达标锚点取视频约 4.64 s。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：机器人以右大腿短促击打足球完成第3次回升，左脚同时接触草地支撑身体；how=其他，候选“击打”，持续推、压或托不能表达该短促击球。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.88,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.64–4.88 s 第三次回升后的球仍在空中，机器人继续抬着右腿，但身体快速侧倾、支撑脚翻转，最后一帧手掌接近草地；未出现第四次击球。log step 112 的机器人服务对最后一轮 episode=50 返回 outcome=fell、stages_reached=3/10，故第4次未达成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.64–4.88 s 机器人左脚仍承担单脚支撑，右腿保持抬起等待下一次来球，随后支撑脚翻转并侧倒；没有第四次腿与足球的击打接触。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.88,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.64–4.88 s 球仍在第三次击球后的飞行中，机器人侧倒，未继续进行第5次击球；log step 112 的机器人服务最终为 fell、stages_reached=3/10。推断：顺序计数未到4，故第5次节点未达成。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.88,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.64–4.88 s 球仍在第三次击球后的飞行中，机器人侧倒，未继续进行第6次击球；log step 112 的机器人服务最终为 fell、stages_reached=3/10。推断：顺序计数未到4，故第6次节点未达成。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.88,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.64–4.88 s 球仍在第三次击球后的飞行中，机器人侧倒，未继续进行第7次击球；log step 112 的机器人服务最终为 fell、stages_reached=3/10。推断：顺序计数未到4，故第7次节点未达成。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.88,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.64–4.88 s 球仍在第三次击球后的飞行中，机器人侧倒，未继续进行第8次击球；log step 112 的机器人服务最终为 fell、stages_reached=3/10。推断：顺序计数未到4，故第8次节点未达成。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.88,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.64–4.88 s 球仍在第三次击球后的飞行中，机器人侧倒，未继续进行第9次击球；log step 112 的机器人服务最终为 fell、stages_reached=3/10。推断：顺序计数未到4，故第9次节点未达成。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.88,
+      "log_step": 112,
+      "text_zh": "观察：视频 4.64–4.88 s 球仍在第三次击球后的飞行中，机器人侧倒，未继续进行第10次击球；log step 112 的机器人服务最终为 fell、stages_reached=3/10。推断：顺序计数未到4，故第10次节点未达成。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 3,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_4",
+   "t": 4.68,
+   "log_step": 112,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 4.64–4.88 s 第三次回升后机器人仍抬右腿等待来球，身体侧倾加剧并倒下，未能进行第四次击球；log step 112 的机器人服务确认最后一轮 episode=50、control_steps=490、done=True、outcome=fell、计数3/10。此前三次已完成，未见更早仍未修复的步骤失败。"
+  },
+  "unmet": {
+   "valid_touch_1": true,
+   "valid_touch_2": true,
+   "valid_touch_3": true,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 4.68,
+    "log_step": 112,
+    "evidence_zh": "观察：视频 4.40–4.88 s 机器人在左脚单脚支撑、右腿抬起的姿态下持续侧倾，随后左脚翻转、身体塌向草地，手掌下探；足球仍在空中。log step 112 的机器人服务终局原因为 fell。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "反馈控制",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "观察：log step 111 的最终执行命令将踝部及腰部姿态反馈系数 bkr、bdr、bkp、bdp、bki、wkr、wki 均置0；log step 88、94、102 展示这些项用于根据骨盆姿态及角速度修正支撑腿或腰部。log step 111 对最终尝试打印的骨盆滚转从仿真 4.4 s 的约0.25 rad 增至仿真 4.8 s 的约0.826 rad，最后服务返回 fell、3次；log step 112 确认此轮为最后的 episode=50。视频 4.40–4.88 s 同样显示单脚支撑下侧倾不断扩大。推断：最终控制器未抑制单腿颠球中的身体滚转，姿态稳定控制不足使第四次无法继续。"
+   }
+  ],
+  "gap_zh": "没有逐物理步状态日志或逐次裁判计数时刻，无法独立复核各次接触持续时间、离球速度比例及精确回升阈值；前三次有效性由最后一轮服务计数3/10和视频三次回升共同确定，视频达标锚点约有0.1秒误差。ball_height_m 未在评分字段或最终服务结果中报告，故为null。最后一帧为视频4.88 s，跌倒判定由服务终局fell补充确认。"
+ },
+ "summary_zh": "最后受评的是第50轮现场尝试：机器人张开双掌放球，以右大腿连续完成3次有效颠球，事件节点锁存为3/10。第三次回升后机器人继续单脚等待来球，却在视频约4.68–4.88 s 快速侧倒，断于第4次颠球；最终关闭的姿态反馈及持续增大的滚转支持稳定控制不足这一归因。没有逐物理步状态日志，逐次达标时间由密集视频帧估计，有效计数由最后一轮服务结果确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "三次有效颠球（视频约3.36/3.96/4.64 s）、断点valid_touch_4、平衡现象和反馈控制根因均与视频、log step 111–112 及服务读数（fell、3/10）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": "2026-10-31T00:43:13Z",
+  "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-juggling-i00-standard--k6gbyep/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--k6gbyep/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "11d793a33f1e5ff015622f6638dba34135fd53f8a8c8506898d4c143e2feccaa",
+   "video_sha256": "4358b70df207a1529a3847b4e06775867afc5a7e8b44833d6d12dcebfba18e35",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--nbohiex.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--nbohiex.json
new file mode 100644
index 0000000000000000000000000000000000000000..d04ce471d99dc959453b75797d2d4e9509b22695
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--nbohiex.json
@@ -0,0 +1,335 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-standard--nbohiex",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "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": 119,
+   "sim_steps": 5192,
+   "calls": 116,
+   "rows": 5147,
+   "resets": 44,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7097.9,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 1.213,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.814,
+   "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-juggling-i00-standard--nbohiex/replay.mp4",
+  "duration_s": 1.2,
+  "fps": 25.0,
+  "frames": 30,
+  "sha256": "e64f3fa3abcd0c04b269bb16e87906bb99cec9ace810ca1064704b5c3fa5c17b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.52,
+      "log_step": 997,
+      "text_zh": "观察：视频 0.00–0.52 s，机器人双掌夹着足球从腹前举至头顶附近；视频 0.60–0.76 s 双臂张开并下放，足球离开双掌后下落。log step 997 是最后一次 reset 后的现场提交，代码执行双臂抬球、释放及收臂。"
+     },
+     {
+      "t": 0.84,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 0.68–1.16 s，足球从头侧掠过，继续降到躯干旁及腿旁，没有出现下落后被合法部位击起并回升一个球直径的过程；第1次有效颠球未成立。成功参考视频可见球在头顶反复离体弹起，本局没有这一可见变化。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.60 s，机器人两侧平掌垫共同挤压夹持足球并抬高，随后张臂释放。候选：双掌挤压夹持；单手均未合拢包住球，不能标抓握，现有方式没有这一双掌挤压项。此接触属于首次颠球的抬球释放准备，不能当作有效击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.16 s，机器人双脚在草地上承重站立，支撑抬球和释放的过程；没有可确认的脚或腿击球。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第2次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第3次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第4次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第5次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第6次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第7次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第8次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第9次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 1.16,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.16 s 的全部30帧，仅见一次双掌举球释放及随后持续下落，没有连续的离体回升；视频 1.16 s 球已落至腿旁。推断：第1次有效颠球尚未成立，依次锁存的第10次颠球也未达到，机器人未进入该次击球。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 0.8,
+   "log_step": 997,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.68–0.92 s，机器人收下双臂后，足球下落至头侧并继续向下，未被顶回空中；视频 1.00–1.16 s 球降至躯干及腿旁，首次有效颠球始终没有建立。log step 997 的最后一次现场提交包含抬球释放，故此时已在执行第1次颠球的工作。"
+  },
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 0.8,
+    "log_step": 997,
+    "evidence_zh": "观察：视频 0.56–0.72 s，机器人双掌在头侧张开并收下，足球离开双掌；视频 0.76–1.16 s，球从头侧持续降到躯干旁及腿旁，没有可见的头或腿击球及离体回升。推断：释放没有把球送入能形成首次有效击球的相对位置，表现为释放位置不准；未观察到已执行迎击但时机出错的动作。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "log_step": 997,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "观察：log step 997 的提交代码预生成180行动作，动作行索引10–51为双臂举球，52–56为张臂释放，57–71为收臂，此后保持双臂在髋侧；腰部从动作行索引52起复位，到70后保持 -0.048 rad，代码没有单独的迎球击打阶段。视频 0.56–1.16 s 可见球在头侧释放后向身体一侧下落，没有可见的合法部位击起回升。推断：该次方案的举球释放与头部相对接触布局未建立有效击球条件，归为抓取和接触设计，不再归结为已交付迎击动作的时序或跟踪失误。缺少本局三维球轨迹及接触记录，具体几何偏差和同一起点的可行替代均未验证，alt_feasible 为未知。"
+   }
+  ],
+  "gap_zh": "未提供本局状态日志；视频为25 fps，不能确认头侧是否有极短的擦碰，亦不能测定毫秒级接触时长和冲量，但全部帧可确认没有一次符合判据的击后回升。log step 997 的后台任务在 log step 998 仅返回 DONE，未保留本局最终 outcome、stages_reached 或球高结果；此前其他 reset 局的再触失败和计数不作为本局事实。评分器 reward 未报告 touches、ball_height_m，两项原生指标均填 null；不据此指定本局终止的具体规则。 最后一次提交没有单独的迎球击打阶段；接触设计归因是由动作表和视频中的释放下落路径作出的推断，二维画面不能量化球与头部的三维错位，也不能仅凭未安排主动击打就断言所有被动反弹方案不可行。"
+ },
+ "summary_zh": "评分视频中机器人完成双掌举球和释放，球从头侧持续降到腿旁，没有首次有效颠球，10个节点最终均未达到，断点仍为第1次颠球操作中。现象改为释放位置不准，结合 log step 997 的举球、释放、收臂及腰部复位方案，推断为抓取和接触设计不适配。缺少本局状态日志与最终分项裁判输出，三维接触几何、极短擦碰和可行替代均未验证，因此置信度由8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": "节点值（10个均未达成）、断点节点 valid_touch_1 与 0.0 起点时钟无误；问题在原因层：视频只显示足球被双掌举到头侧后松手落下、从未被头/腿接触，标签却把它写成'头球迎击时机没对上'（动态时机+控制），这是把agent意图当成了已交付的击球动作；实际的可见现象是松手时球不在可击打的位置。",
+    "n_issues": 2,
+    "n_major": 2
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "第2轮复核：视频仅1.2 s（30帧），可见双掌举球、张臂释放、球从头侧下落至腿旁，无击后回升；10个节点均未达成、断点 valid_touch_1、位姿不准现象与抓取和接触设计根因（alt_feasible 未知、推断已标注）均有证据支持，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": "2026-10-31T00:49:18Z",
+  "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-juggling-i00-standard--nbohiex/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--nbohiex/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--nbohiex/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--nbohiex/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "28435e8506267fb34c3d5aeee9cf78e3d3f1a5553a04fffb613dfd9c03e2878d",
+   "video_sha256": "e64f3fa3abcd0c04b269bb16e87906bb99cec9ace810ca1064704b5c3fa5c17b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--t4nezqm.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--t4nezqm.json
new file mode 100644
index 0000000000000000000000000000000000000000..ac0e033b3a266aa02017f0d75ac6133b691201df
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--t4nezqm.json
@@ -0,0 +1,311 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-standard--t4nezqm",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "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": 57,
+   "sim_steps": 3417,
+   "calls": 317,
+   "rows": 2959,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3357.3,
+   "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-juggling-i00-standard--t4nezqm/replay.mp4",
+  "duration_s": 0.6,
+  "fps": 25.0,
+  "frames": 15,
+  "sha256": "20e7753271663aad07f31e033c727e5a57787a66421f155b03763c50d3fdb6d5"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 297,
+      "text_zh": "观察：log step 297 的服务输出在最后一次 reset 后进入第51局；视频 0.00 s 足球位于机器人双掌之间，随后机器人抬腿并抬动双臂。此前测试局的计数不属于这段评分视频。"
+     },
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：逐帧检查视频 0.00–0.56 s，足球在双掌前上移、离掌后向前下落，未见脚、腿或头将其击起并回升一个球直径；log step 298 同一第51局服务终局输出 stages_reached=0、stages_total=10、outcome=\"fell\"，首次有效颠球未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "双臂协作",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–约0.24 s 双平掌在球两侧夹持并抬动，随后双臂分开释放足球。候选：双掌挤压；平掌无手指包围球，故不标抓握，现有接触方式未单列这种挤压夹持。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.56 s 机器人双脚起始着地，抬腿时由另一脚支撑，随后放低抬起的腿；未见腿脚实际击中足球，不把击打计划当成已发生接触。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第2次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第3次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第4次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第5次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第6次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第7次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第8次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第9次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.56,
+      "log_step": 298,
+      "text_zh": "观察：视频 0.00–0.56 s 未出现连续颠球，足球离掌后在机器人前方下落；log step 298 最后一局服务裁判输出为0/10有效次数。推断：第10次颠球的计数及前序条件均未成立，本局未开始该次击球。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 0.56,
+   "log_step": 298,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.00–0.56 s 机器人已抬腿、抬球并释放，正在准备首次颠球，尚未见有效击球回升。log step 298 的最后一局服务输出在 recover_and_follow 动作内终止，outcome=\"fell\"、stages_reached=0、control_steps=57、仿真0.57 s；因此失败步骤是第1次颠球。视频0.56 s 为末尾导航锚点，画面尚未显示躯干倒地。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 0.56,
+    "log_step": 298,
+    "evidence_zh": "观察：视频 0.28–0.56 s 机器人单腿抬起、随后放低该腿调整支撑，足球在前方下落；末帧机器人躯干仍大致直立。log step 298 同一最后局的服务裁判在 recover_and_follow 阶段报告 outcome=\"fell\"、done=true（仿真0.57 s），以跌倒终止，而非足球触地终止；具体触地部位未被视频末帧显示。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 297–298 的最后一局脚本执行 raise_and_preposition、release_and_strike 后接 recover_and_follow；视频 0.08–0.56 s 确实出现抬腿、松臂和收腿调整支撑，服务随后在该恢复动作内以 fell 终止、有效次数仍为0。此动作组合未能保持身体支撑，支持控制层归因；没有关节力矩或接触日志，不能进一步确定是轨迹、切换跟踪还是接触布局的问题。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "没有状态日志；视频仅15帧，最后采样为视频0.56 s，未显示躯干倒地、非足部触地或骨盆低于阈值的瞬间。最后一局服务裁判在log step 298报告仿真0.57 s跌倒，故平衡标签依该局服务终局记录，画面不能独立复核具体跌倒判据；没有足够证据细分控制根因。ball_height_m未报告；有效颠球数0取自同一局裁判的stages_reached=0/10，不取此前测试局的1次。",
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  }
+ },
+ "summary_zh": "最后评分局完成0/10次有效颠球：视频中机器人抬腿、抬球并释放，足球随后向前下落，未形成首次有效回升。首次颠球操作中，最后一局服务裁判报告跌倒并终止，动作组合的支撑控制未成功；此前测试局的1次计数不属于本局。视频止于视频0.56 s，尚未显示明确倒地，缺少状态与接触日志，无法独立复核跌倒的具体触发部位或细分控制根因。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与证据一致：最后一局（第51局）0/10，视频0.56 s止于跌倒前，服务输出 outcome=fell、0/10；断点为第1次颠球，平衡现象与控制根因有服务读数支持，且已标明为推断，未把此前测试局计数当作本局事实。",
+    "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": "2026-10-31T00:49:26Z",
+  "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-juggling-i00-standard--t4nezqm/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--t4nezqm/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9e8907e5907544e1f7af3982242d6779a168a5a9e4f4c91abd33e0668e8bfa6d",
+   "video_sha256": "20e7753271663aad07f31e033c727e5a57787a66421f155b03763c50d3fdb6d5",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--xb9sq92.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--xb9sq92.json
new file mode 100644
index 0000000000000000000000000000000000000000..536c621286b7fbd28625440beba3a13db93b2f65
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--xb9sq92.json
@@ -0,0 +1,340 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-standard--xb9sq92",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "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": 1178,
+   "sim_steps": 35055,
+   "calls": 17839,
+   "rows": 17534,
+   "resets": 34,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7113.5,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.45,
+   "peak_processes": 9,
+   "peak_disk_gb": 1.182,
+   "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-juggling-i00-standard--xb9sq92/replay.mp4",
+  "duration_s": 11.8,
+  "fps": 25.0,
+  "frames": 295,
+  "sha256": "5141e5cab80d6193f9bc2a76412ba0e9355bbafd7f652ca0e0f7d22eb9d84f3f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 2,
+  "final": 2,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      10.6,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 10.6,
+      "log_step": 142,
+      "text_zh": "观察：视频 10.16–10.44 s，机器人分开双掌，足球落向抬起的左脚；视频 10.44–10.76 s，球在左脚处转为离体上升，回升超过约一个球直径，首次达标时刻取视频约 10.6 s。log step 142 的机器人服务裁判返回最后一次现场尝试 episode 35 的 stages_reached=2；这两次回弹与视频相符。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 10.44–10.76 s，机器人左脚短促击起足球。候选：击打；现有接触方式无击打项，不能用持续推压或托举表示。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 10.44–10.76 s，机器人以右脚接触草地承重，左脚抬起迎球。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      11.24,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 11.24,
+      "log_step": 142,
+      "text_zh": "观察：视频 10.80–11.08 s，足球再次下落至机器人左脚；视频 11.12–11.36 s，球第二次离脚上升，回升超过约一个球直径，达标时刻取视频约 11.24 s。log step 142 的机器人服务裁判确认最后一次现场尝试 stages_reached=2，支持此次回弹已通过有效触球验收。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 11.08–11.36 s，机器人左脚再次短促击起足球。候选：击打；现有接触方式无击打项，不能用持续推压或托举表示。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 11.08–11.36 s，机器人以右脚接触草地承重，左脚抬起迎球。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.72,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，机器人仍抬左腿迎球，但足球从左脚前方下落到草地附近，没有第三次离体回升；log step 142 的机器人服务裁判返回 episode 35 已失败，outcome 为 the ball touched the ground，stages_reached=2。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 11.52–11.76 s，机器人抬左脚迎向足球，但未形成可见的击起回升；末段是否有轻擦不能分辨。候选：击打；现有接触方式无击打项，不能用持续推压或托举表示。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 11.52–11.76 s，机器人以右脚接触草地承重，左脚抬起迎球。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.76,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，第三次下落的足球没有再次弹起，片段随球落到草地附近结束；log step 142 的机器人服务裁判报告最后一次现场尝试 stages_reached=2 且球触地失败。推断：累计未到第4次有效颠球，前置计数未满足，本节点未被尝试。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.76,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，第三次下落的足球没有再次弹起，片段随球落到草地附近结束；log step 142 的机器人服务裁判报告最后一次现场尝试 stages_reached=2 且球触地失败。推断：累计未到第5次有效颠球，前置计数未满足，本节点未被尝试。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.76,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，第三次下落的足球没有再次弹起，片段随球落到草地附近结束；log step 142 的机器人服务裁判报告最后一次现场尝试 stages_reached=2 且球触地失败。推断：累计未到第6次有效颠球，前置计数未满足，本节点未被尝试。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.76,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，第三次下落的足球没有再次弹起，片段随球落到草地附近结束；log step 142 的机器人服务裁判报告最后一次现场尝试 stages_reached=2 且球触地失败。推断：累计未到第7次有效颠球，前置计数未满足，本节点未被尝试。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.76,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，第三次下落的足球没有再次弹起，片段随球落到草地附近结束；log step 142 的机器人服务裁判报告最后一次现场尝试 stages_reached=2 且球触地失败。推断：累计未到第8次有效颠球，前置计数未满足，本节点未被尝试。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.76,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，第三次下落的足球没有再次弹起，片段随球落到草地附近结束；log step 142 的机器人服务裁判报告最后一次现场尝试 stages_reached=2 且球触地失败。推断：累计未到第9次有效颠球，前置计数未满足，本节点未被尝试。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 11.76,
+      "log_step": 142,
+      "text_zh": "观察：视频 11.52–11.76 s，第三次下落的足球没有再次弹起，片段随球落到草地附近结束；log step 142 的机器人服务裁判报告最后一次现场尝试 stages_reached=2 且球触地失败。推断：累计未到第10次有效颠球，前置计数未满足，本节点未被尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "value": 2,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  },
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_3",
+   "t": 11.7,
+   "log_step": 142,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 11.52–11.76 s，机器人抬左腿迎接第三次下落的足球，脚没有把球重新送入上升段，球落向草地；log step 142 的机器人服务裁判返回 episode 35 球触地失败、有效阶段仅 2/10。该条结果的 calls=17839、rows=17534、control_steps_total=35055 与评分器 reward 一致，且视频两次回弹后落地，与最后一次现场尝试相符。"
+  },
+  "unmet": {
+   "valid_touch_1": true,
+   "valid_touch_2": true,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 11.7,
+    "log_step": 142,
+    "evidence_zh": "观察：视频 11.60–11.76 s，足球快速下落到机器人左脚前方，机器人抬脚动作未跟上这次来球，未出现前两次在视频 10.44 s、11.08 s 附近的向上反弹；log step 142 的机器人服务裁判随后判球触地。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 130、134、136、138、141 展示 agent 的脚面朝向、身体平移、支撑腿起伏和击球腿姿态控制修改，最后在 log step 141 重置并运行该控制器；log step 142 的脚本输出仍给出了第三次 KICK 指令，但视频 11.60–11.76 s 的机器人左脚未将下落球击回空中。控制器未实现连续接球与击起；不足以进一步区分接触几何、轨迹跟踪或反馈调节问题。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志，场边单视角和每秒 25 帧不能复核毫秒级接触时窗、第二次击球速度比例，也不能分辨第三次迎球末段是否有轻擦；前两次有效性由视频回弹和最后一次现场裁判 stages_reached=2 共同确认，达标时间为约值。未报告原生 ball_height_m；log step 142 的球高数组来自 agent 的视觉跟踪器，不能作为评分器原生指标。具体控制子类证据不足。"
+ },
+ "summary_zh": "机器人分开双掌后用左脚完成两次有效颠球，节点最终达到 2/10；视频约 10.6 s、11.24 s 的回升与 log step 142 最后一次现场裁判的两阶段计数一致。第三次迎球时，机器人左脚未跟上下落足球，视频约 11.7 s 球落向草地而失败，断点为第3次颠球，根因归于控制。无状态日志，精确接触、速度阈值及具体控制子类无法复核。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "两次有效颠球（视频约10.6 s、11.24 s，与log step 142的KICK/BOUNCE时序及stages_reached=2一致）和第3次未接住（球落在脚外侧）的标注与视频、日志相符；断点valid_touch_3、动态时机与控制根因有证据支持。",
+    "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": "2026-10-31T00:46:58Z",
+  "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-juggling-i00-standard--xb9sq92/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--xb9sq92/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9e744dc93383534670d20f116032c862d04e87c650daf0de446bb1580504ff92",
+   "video_sha256": "5141e5cab80d6193f9bc2a76412ba0e9355bbafd7f652ca0e0f7d22eb9d84f3f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--yz24dgb.json b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--yz24dgb.json
new file mode 100644
index 0000000000000000000000000000000000000000..fca5677b177c9ecf4e9d7021114c82f4c0cfc889
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling/trajectories/embodied-olympics-fun-juggling-i00-standard--yz24dgb.json
@@ -0,0 +1,287 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-i00-standard--yz24dgb",
+ "taskKey": "embodied-olympics-fun/juggling",
+ "dag_sha256": "25e819f9f1251e0a7ce9add4f150f9227df00d011426943d8c29867bd2eff282",
+ "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": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7189.4,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.914,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.349,
+   "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-juggling-i00-standard--yz24dgb/replay.mp4",
+  "duration_s": 0.04,
+  "fps": 25.0,
+  "frames": 1,
+  "sha256": "3a2b3d2acae150890a4ff672e79a8dfb55d1ab15b43f610833cc238c6b1d2aef"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "valid_touch_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第1次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第2次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第3次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第4次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第5次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第6次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第7次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第8次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第9次有效颠球未发生。"
+     }
+    ]
+   },
+   "valid_touch_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 8,
+      "text_zh": "观察：本次视频唯一帧（视频 0.00 s，文件总长 0.04 s）中机器人站立、足球仍在胸前双掌之间，没有离掌后由脚、腿或头击起的过程；log step 8 仅调用现场机器人接口 get_obs(seconds=0.0) 读取初态。评分器字段 n_actions=0、sim_steps=0、rows=0，现场回合没有推进，第10次有效颠球未发生。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "touches",
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "valid_touch_1",
+   "t": 0.0,
+   "log_step": 8,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 0.00 s 的唯一帧是机器人双掌持球、双脚站地的初态；log step 8 只读取零秒观测，评分器记录 n_actions=0、sim_steps=0、rows=0，第一次颠球的释放与击打均未开始。log step 157、162 的触球输出来自 agent 自建 MuJoCo 模型的离线测试，未出现在现场评分视频中。"
+  },
+  "unmet": {
+   "valid_touch_1": false,
+   "valid_touch_2": false,
+   "valid_touch_3": false,
+   "valid_touch_4": false,
+   "valid_touch_5": false,
+   "valid_touch_6": false,
+   "valid_touch_7": false,
+   "valid_touch_8": false,
+   "valid_touch_9": false,
+   "valid_touch_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0.0,
+    "log_step": 8,
+    "evidence_zh": "观察：现场机器人接口在 log step 8 仅获取初始观测；最终评分器字段 n_actions=0、sim_steps=0、calls=1、resets=0，视频 0.00 s 唯一帧仍是双掌持球初态，没有开始第一次颠球。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "观察：本次有视频但仅含视频 0.00 s 的初态，无状态日志；评分器未报告 touches 或 ball_height_m，原生指标值保留 null。log step 157、162、237 均为 agent 自建 MuJoCo 模型的离线仿真，最后一次非空发言（log step 216）也仅自述正在等待离线动态过渡优化，没有现场执行或完成报告。推断：可确认现场首步未启动，但现有记录不足以判定未执行源于错误任务规划、接触设计还是控制实现，故根因留空；不能用离线测试中的反弹或跌倒替代现场失败。"
+ },
+ "summary_zh": "现场评分回合没有推进：视频唯一帧（视频 0.00 s）仍是双掌持球初态，评分器 n_actions=0、sim_steps=0，十个有效颠球节点最终均为 false（0/10）。断点为第1次颠球的首步前，现象为没尝试；log step 157、162 的离线触球测试不计入现场进度。缺少可确定现场为何未执行的证据，根因留空；评分器未报告两项原生指标。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "视频仅一帧（0.00 s）初态，评分器 n_actions=0、sim_steps=0，十个节点均为 false、断点在 valid_touch_1 首步前、现象没尝试均有证据支持；根因留空并有 gap_zh，未把超时或离线测试当作现象或进度。",
+    "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": "2026-10-31T00:41:00Z",
+  "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-juggling-i00-standard--yz24dgb/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-i00-standard--yz24dgb/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "229ffbb5fdd0093c6fdb249de654a02de37734794345e5161852d68fec672a99",
+   "video_sha256": "3a2b3d2acae150890a4ff672e79a8dfb55d1ab15b43f610833cc238c6b1d2aef",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--gyqu5ad.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--gyqu5ad.json
new file mode 100644
index 0000000000000000000000000000000000000000..aaddcee335fbc0043a5378dc4e205eb994f84e92
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--gyqu5ad.json
@@ -0,0 +1,470 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-privileged--gyqu5ad",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 857,
+   "sim_steps": 857,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 10,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 6.61,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 1.659,
+   "metric_headers": 10.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 343,
+   "agent_resets": 46,
+   "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": 5.372,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.261,
+   "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-juggling-head-i00-privileged--gyqu5ad/replay.mp4",
+  "duration_s": 8.6,
+  "fps": 25.0,
+  "frames": 215,
+  "sha256": "f65faa4e3c6ce289057d3f06bf158a66cebb8ee72625a6c450b769648973c1e4"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 10,
+  "final": 10,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": null,
+      "text_zh": "观察：视频 2.08–2.24 s，足球第1次降至机器人头顶附近（视频 2.12 s），随后离开头顶向上运动；按顺序记录第1次反弹，达成锚点取视频 2.20 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 2.2,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第1次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 2.12–2.24 s 的第1次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": null,
+      "text_zh": "观察：视频 2.80–2.96 s，足球第2次降至机器人头顶附近（视频 2.84 s），随后离开头顶向上运动；按顺序记录第2次反弹，达成锚点取视频 2.92 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 2.92,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第2次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 2.84–2.96 s 的第2次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.68,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.68,
+      "log_step": null,
+      "text_zh": "观察：视频 3.56–3.72 s，足球第3次降至机器人头顶附近（视频 3.60 s），随后离开头顶向上运动；按顺序记录第3次反弹，达成锚点取视频 3.68 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 3.68,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第3次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 3.60–3.72 s 的第3次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.4,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.4,
+      "log_step": null,
+      "text_zh": "观察：视频 4.28–4.44 s，足球第4次降至机器人头顶附近（视频 4.32 s），随后离开头顶向上运动；按顺序记录第4次反弹，达成锚点取视频 4.40 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 4.4,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第4次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 4.32–4.44 s 的第4次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.12,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.12,
+      "log_step": null,
+      "text_zh": "观察：视频 5.00–5.16 s，足球第5次降至机器人头顶附近（视频 5.04 s），随后离开头顶向上运动；按顺序记录第5次反弹，达成锚点取视频 5.12 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 5.12,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第5次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 5.04–5.16 s 的第5次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.84,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.84,
+      "log_step": null,
+      "text_zh": "观察：视频 5.68–5.88 s，足球第6次降至机器人头顶附近（视频 5.72 s），随后离开头顶向上运动；按顺序记录第6次反弹，达成锚点取视频 5.84 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 5.84,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第6次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 5.72–5.88 s 的第6次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.52,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.52,
+      "log_step": null,
+      "text_zh": "观察：视频 6.36–6.56 s，足球第7次降至机器人头顶附近（视频 6.40 s），随后离开头顶向上运动；按顺序记录第7次反弹，达成锚点取视频 6.52 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 6.52,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第7次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 6.40–6.56 s 的第7次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.2,
+      "log_step": null,
+      "text_zh": "观察：视频 7.08–7.24 s，足球第8次降至机器人头顶附近（视频 7.12 s），随后离开头顶向上运动；按顺序记录第8次反弹，达成锚点取视频 7.20 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 7.2,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第8次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 7.12–7.24 s 的第8次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.92,
+      "log_step": null,
+      "text_zh": "观察：视频 7.76–7.96 s，足球第9次降至机器人头顶附近（视频 7.80 s），随后离开头顶向上运动；按顺序记录第9次反弹，达成锚点取视频 7.92 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 7.92,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第9次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 7.80–7.96 s 的第9次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [
+     [
+      8.56,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 8.56,
+      "log_step": null,
+      "text_zh": "观察：视频 8.44–8.56 s，足球第10次降至机器人头顶附近（视频 8.48 s），随后离开头顶向上运动；按顺序记录第10次反弹，达成锚点取视频 8.56 s，时间约有0.1秒误差。"
+     },
+     {
+      "t": 8.56,
+      "log_step": 373,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、stages_reached=10、metric_headers=10；log step 373 对最终重新生成的交付文件执行官方重放，裁判返回 header 1 至 header 10 全部达成且 failed=null。"
+     },
+     {
+      "t": 8.56,
+      "log_step": null,
+      "text_zh": "推断：结合视频中第10次头顶反弹与评分器十次合格计数，该次满足节点的触球、升高及速率验收；25 fps 画面不单独用于量测毫秒级触球时长或精确速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人头顶击打足球，形成视频 8.48–8.56 s 的第10次向上反弹；候选接触方式为“击打”，现有接触方式没有对应条目，故用其他。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 10.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：视频中足球由发球机送出，机器人保持站立，以头顶连续将下落足球击起，十个头颠球事件节点均达成，最后一次反弹见视频 8.48–8.56 s。观察：评分器报告 success=1、metric_headers=10、stages_reached=10、deterministic=1，log step 373 对最终交付文件的官方重放同样返回成功。推断：合格计数由画面中的十次反弹及评分器结果共同确认；本作业无状态日志，25 fps 视频无法独立核实每次触球不超过0.05秒及0.95速率比，节点时间为视频估计。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "十个节点全部达成与评分器 success=1、stages_reached=10、metric_headers=10 一致；视频中球在各引用时刻位于头顶附近，时间锚点合理，contact_actual 为腿/躯干+其他（击打），无失败层，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": "2026-10-31T00:41:54Z",
+  "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-juggling-head-i00-privileged--gyqu5ad/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--gyqu5ad/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a9a90cb67c1133dd3d39337e12eacc986f41ba72d9b12430f465864cc39ecb7a",
+   "video_sha256": "f65faa4e3c6ce289057d3f06bf158a66cebb8ee72625a6c450b769648973c1e4",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--hbaxucg.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--hbaxucg.json
new file mode 100644
index 0000000000000000000000000000000000000000..f63231433d3467bcd29cfd2a579a6bfdcb8c000b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--hbaxucg.json
@@ -0,0 +1,341 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-privileged--hbaxucg",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "outcome": {
+  "success": 0,
+  "reward": 0.2,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 400,
+   "sim_steps": 378,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.2,
+   "stages_reached": 2,
+   "stages_total": 10,
+   "fell": 1,
+   "replay_s": 10.21,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 1.333,
+   "metric_headers": 2.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 57,
+   "agent_resets": 93,
+   "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": 0.83,
+   "peak_processes": 12,
+   "peak_disk_gb": 0.98,
+   "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-juggling-head-i00-privileged--hbaxucg/replay.mp4",
+  "duration_s": 3.8,
+  "fps": 25.0,
+  "frames": 95,
+  "sha256": "db4083b3ca14c0397cb19e0601051e1ac688bda6829a2db438fcf9944845d1b2"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 2,
+  "final": 2,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 103,
+      "text_zh": "观察：视频 2.08–2.12 s，足球下降至机器人头顶；视频 2.16–2.24 s，足球离头后明显上升。最终交付轨迹的回放结果（log step 103，log step 107 再次核验）列出 header 1、header 2；评分器 metric_headers=2、stages_reached=2。"
+     },
+     {
+      "t": 2.2,
+      "log_step": null,
+      "text_zh": "推断：结合可见的第1次反弹上升和裁判两次合格计数，将第1次事件达成锚定在视频 2.20 s 左右；25帧/秒视频不能单独验证毫秒级触球时长与速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.12 s 前后，机器人头壳将下降的足球短暂击起；候选接触名“击打”，现有方式无对应项，按S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.88–2.24 s，机器人以双足接触草地，腿部屈伸配合头部迎球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.0,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 103,
+      "text_zh": "观察：视频 2.84–2.92 s，足球再次下降至机器人头顶；视频 2.96–3.08 s，足球再次离头上升。最终交付轨迹的回放结果（log step 103，log step 107 再次核验）列出 header 1、header 2；评分器 metric_headers=2、stages_reached=2。"
+     },
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "推断：结合可见的第2次反弹上升和裁判两次合格计数，将第2次事件达成锚定在视频 3.00 s 左右；25帧/秒视频不能单独验证毫秒级触球时长与速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.92 s 前后，机器人头壳将下降的足球短暂击起；候选接触名“击打”，现有方式无对应项，按S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.64–3.08 s，机器人以双足接触草地，腿部屈伸配合头部迎球。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.4,
+      "log_step": 103,
+      "text_zh": "观察：视频 3.00–3.76 s，第二次反弹后的足球升高再下落，机器人持续调整身体，但躯干倾斜逐渐加剧，未见第三次头部击球；视频 3.76 s 末帧足球仍与头部分离。交付回放在 log step 103、107 均报告 fell，只有两个 header 阶段，评分器 metric_headers=2。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 3.08–3.76 s，机器人在迎接下一次落球时以双脚支承并调整腿、躯干，随后身体倾倒、支撑失稳；未发生第三次头壳与足球的可见接触。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 103,
+      "text_zh": "观察：完整视频 0.00–3.76 s 只出现两次头部反弹，末段机器人倾倒；最终交付回放（log step 103、107）只列出 header 1、header 2，评分器 metric_headers=2。推断：按顺序计数及前置关系，第4次头颠球未达到，机器人未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 103,
+      "text_zh": "观察：完整视频 0.00–3.76 s 只出现两次头部反弹，末段机器人倾倒；最终交付回放（log step 103、107）只列出 header 1、header 2，评分器 metric_headers=2。推断：按顺序计数及前置关系，第5次头颠球未达到，机器人未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 103,
+      "text_zh": "观察：完整视频 0.00–3.76 s 只出现两次头部反弹，末段机器人倾倒；最终交付回放（log step 103、107）只列出 header 1、header 2，评分器 metric_headers=2。推断：按顺序计数及前置关系，第6次头颠球未达到，机器人未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 103,
+      "text_zh": "观察：完整视频 0.00–3.76 s 只出现两次头部反弹，末段机器人倾倒；最终交付回放（log step 103、107）只列出 header 1、header 2，评分器 metric_headers=2。推断：按顺序计数及前置关系，第7次头颠球未达到，机器人未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 103,
+      "text_zh": "观察：完整视频 0.00–3.76 s 只出现两次头部反弹，末段机器人倾倒；最终交付回放（log step 103、107）只列出 header 1、header 2，评分器 metric_headers=2。推断：按顺序计数及前置关系，第8次头颠球未达到，机器人未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 103,
+      "text_zh": "观察：完整视频 0.00–3.76 s 只出现两次头部反弹，末段机器人倾倒；最终交付回放（log step 103、107）只列出 header 1、header 2，评分器 metric_headers=2。推断：按顺序计数及前置关系，第9次头颠球未达到，机器人未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 103,
+      "text_zh": "观察：完整视频 0.00–3.76 s 只出现两次头部反弹，末段机器人倾倒；最终交付回放（log step 103、107）只列出 header 1、header 2，评分器 metric_headers=2。推断：按顺序计数及前置关系，第10次头颠球未达到，机器人未开始该次尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 2.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_3",
+   "t": 3.4,
+   "log_step": 103,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.00 s 第二次反弹后，机器人继续以腿、腰和躯干调整迎接下一次落球；视频 3.20–3.76 s 身体倾斜持续加剧且未恢复，未完成第三次头球。log step 103 对最终交付文件的回放报告 failed=fell、stages=[header 1, header 2]，log step 107 再次复现，评分器 fell=1。推断：首次未修复的失败发生在第3次头颠球的操作中，视频约 3.4 s 为失衡导航锚点。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 3.4,
+    "log_step": 103,
+    "evidence_zh": "观察：视频 3.20–3.76 s，机器人躯干由轻微倾斜发展为明显倾倒，双腿未能将身体重新支承于直立位置，末帧仍在倒下；评分器 fell=1，交付回放日志（log step 103、107）均以 fell 结束。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 3.4,
+    "log_step": 103,
+    "evidence_zh": "观察：log step 94 的控制代码根据足球预测落点计算腰、踝关节角，并叠加蹲起；log step 95–97 修正代码后，log step 103 将该控制器及 C=0.7、T_down=0.30、T_up=0.13 的参数生成并保存为最终交付文件，回放复现两次头球后 fell。视频 3.20–3.76 s 显示这些迎球调整未能阻止身体倾倒。推断：迎球过程中的全身控制未维持稳定支撑，导致第3次头球中止；现有证据不足以进一步锁定反馈、关节跟踪或某个参数。",
+    "source_zh": "日志 / 视频 / 评分器字段"
+   }
+  ],
+  "gap_zh": "本作业没有状态日志；25帧/秒视频只能提供两次头球达成的近似时刻，触球时长和速率合格由交付回放阶段及评分器计数核对。末帧尚未清楚显示具体触地部位，摔倒判定由 fell 字段确认；缺少重心、足底力和关节跟踪数据，根因保留在“控制”，不将 agent 自述的头壳分面误差当作已证实的失衡原因。",
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": true,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  }
+ },
+ "summary_zh": "本次交付轨迹完成第1、2次合格头颠球，约在视频 2.2 s、3.0 s 达成，最终保留2/10个事件节点。机器人在准备第3次头球时持续失衡，视频约 3.4 s 起明显倾倒，交付回放与评分器均以摔倒结束。没有状态日志，精确触球阈值依裁判计数核对，失衡根因只能确定到控制层。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频逐帧（每0.16 s）显示足球约2.1 s、2.9–3.1 s两次被头部击起，随后躯干自约3.2 s起倾倒，与评分器 metric_headers=2、fell=1 一致；节点、断点（第3次头颠球操作中）、平衡现象与控制根因均有证据支持，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": "2026-10-31T00:41:06Z",
+  "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-juggling-head-i00-privileged--hbaxucg/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--hbaxucg/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "316bf4d605643134f878e4dfe2947eb6d638904c282851a9c3ebf56a18b85535",
+   "video_sha256": "db4083b3ca14c0397cb19e0601051e1ac688bda6829a2db438fcf9944845d1b2",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--j3wzwhc.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--j3wzwhc.json
new file mode 100644
index 0000000000000000000000000000000000000000..052b7296fe729bdf24b3f20112e4a0f5469e7f4b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--j3wzwhc.json
@@ -0,0 +1,442 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-privileged--j3wzwhc",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 904,
+   "sim_steps": 904,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 10,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 6.03,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 1.645,
+   "metric_headers": 10.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 33,
+   "agent_resets": 26,
+   "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": 0.702,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.25,
+   "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-juggling-head-i00-privileged--j3wzwhc/replay.mp4",
+  "duration_s": 9.08,
+  "fps": 25.0,
+  "frames": 227,
+  "sha256": "25a136a9d57ed382b3d95049dcf45be55fbd89e11b8c739c2a035c1ba864ff41"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 10,
+  "final": 10,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.16,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": null,
+      "text_zh": "观察：视频 2.08 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 2.16 s 已离开头顶，构成按画面顺序辨认的第1次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 2.16,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第1次属于裁判认可的合格头颠球。视频 2.16 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第1次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.96,
+      "log_step": null,
+      "text_zh": "观察：视频 2.84 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 2.96 s 已离开头顶，构成按画面顺序辨认的第2次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 2.96,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第2次属于裁判认可的合格头颠球。视频 2.96 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第2次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.72,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.72,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 3.72 s 已离开头顶，构成按画面顺序辨认的第3次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 3.72,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第3次属于裁判认可的合格头颠球。视频 3.72 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第3次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.48,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.48,
+      "log_step": null,
+      "text_zh": "观察：视频 4.36 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 4.48 s 已离开头顶，构成按画面顺序辨认的第4次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 4.48,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第4次属于裁判认可的合格头颠球。视频 4.48 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第4次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.24,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.24,
+      "log_step": null,
+      "text_zh": "观察：视频 5.12 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 5.24 s 已离开头顶，构成按画面顺序辨认的第5次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 5.24,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第5次属于裁判认可的合格头颠球。视频 5.24 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第5次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.0,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.0,
+      "log_step": null,
+      "text_zh": "观察：视频 5.88 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 6.00 s 已离开头顶，构成按画面顺序辨认的第6次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 6.0,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第6次属于裁判认可的合格头颠球。视频 6.00 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第6次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.76,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.76,
+      "log_step": null,
+      "text_zh": "观察：视频 6.64 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 6.76 s 已离开头顶，构成按画面顺序辨认的第7次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 6.76,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第7次属于裁判认可的合格头颠球。视频 6.76 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第7次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.52,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.52,
+      "log_step": null,
+      "text_zh": "观察：视频 7.40 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 7.52 s 已离开头顶，构成按画面顺序辨认的第8次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 7.52,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第8次属于裁判认可的合格头颠球。视频 7.52 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第8次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [
+     [
+      8.28,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 8.28,
+      "log_step": null,
+      "text_zh": "观察：视频 8.16 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 8.28 s 已离开头顶，构成按画面顺序辨认的第9次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 8.28,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第9次属于裁判认可的合格头颠球。视频 8.28 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第9次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.04,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 9.04,
+      "log_step": null,
+      "text_zh": "观察：视频 8.96 s 前后，足球下落至机器人头顶，机器人伸膝抬升头部；随后球反向上升，视频 9.04 s 已离开头顶，构成按画面顺序辨认的第10次头部击球。双手保持在身体两侧。"
+     },
+     {
+      "t": 9.04,
+      "log_step": null,
+      "text_zh": "推断：本次评分器 reward 中 metric_headers=10.0、stages_reached=10、replay_success=1、deterministic=1，与视频中的十次连续反弹一致，故第10次属于裁判认可的合格头颠球。视频 9.04 s 为本次击球后升球阶段的近似达成锚点，误差约0.1秒；精确触球时长与速率门槛由评分结果核对。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "机器人以头壳接触并向上击起足球，完成第10次头颠球；候选接触方式为“击打”，现有方式没有对应值，按S16记其他。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 10.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：视频中发球机送球后，机器人以头部连续将球颠起十次，视频约 2.16 s 至 9.04 s 依次达到十个事件节点；末帧机器人仍站立，评分器记录 headers=10、stages_reached=10、replay_success=1。推断：机器人配合伸膝与小幅躯干调整维持球在头顶上方反复起落，完成本次评分任务，无失败断点。观察：本作业无状态日志，25 fps 视频无法独立精确测定逐次触球时长与速率比，因此节点时间采用升球画面的近似锚点，合格性结合评分器总计数确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 8,
+    "summary_zh": "十个节点全部 final=true 与评分器（headers=10、stages 10/10）一致，无失败断点，这部分不需改。但各节点的视频时间和“观察”文字与画面不符：视频 2.16 s 时球仍在头顶上方高处下落，第1次触头实际约在视频 2.9 s（帧72），之后约每 0.76 s 一次，第9次约 8.96 s（帧224），第10次触球在 9.08 s 视频结束前未出现（视频末帧球仍在下落）。所有节点时间系统性偏早约 0.7 s，且第10次的“观察”不成立。",
+    "n_issues": 4,
+    "n_major": 3
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "十个头颠球节点 final=true 与评分器（headers=10、stages 10/10、replay_success=1）一致；独立逐帧复核视频，球在帧 53-54（2.12-2.16 s）首次触头反弹，约每 0.76 s 一次，末帧 PTS 9.04 s，节点时间与画面相符，无失败断点。第1轮评审所称偏早约 0.7 s 不成立，不再重复。",
+    "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": "2026-10-31T00:51:11Z",
+  "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-juggling-head-i00-privileged--j3wzwhc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--j3wzwhc/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--j3wzwhc/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--j3wzwhc/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "70ebd89d4f958b1941d244ea9e914a46eda23d1b9599f66340ff207c756e4c21",
+   "video_sha256": "25a136a9d57ed382b3d95049dcf45be55fbd89e11b8c739c2a035c1ba864ff41",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--ok2aeu2.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--ok2aeu2.json
new file mode 100644
index 0000000000000000000000000000000000000000..42251b9ef4bd0759d8f0dd75f63110da3dfb41ec
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--ok2aeu2.json
@@ -0,0 +1,306 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-privileged--ok2aeu2",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 302,
+   "sim_steps": 302,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 2.83,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.095,
+   "metric_headers": 0.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 283,
+   "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": 1.02,
+   "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-juggling-head-i00-privileged--ok2aeu2/replay.mp4",
+  "duration_s": 3.04,
+  "fps": 25.0,
+  "frames": 76,
+  "sha256": "9f94395dd0d9204f4c58edd4faece217ad081a558c13878052a0e73302cb3e84"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.12,
+      "log_step": 16,
+      "text_zh": "观察：视频0.00–3.00 s中机器人维持直立姿势；足球在视频2.08–2.12 s间到达头顶并反弹，视频2.40 s附近到达较低顶点，视频2.76–3.00 s从头旁继续下落到脚边。未见主动蹲起、顶球或追球动作。log step 16的脚本重复执行Session.hold()返回的同一站立指令，保存302行占位轨迹，并报告足球触地。"
+     },
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：inputs/run.json评分器字段metric_headers=0、stages_reached=0、stages_total=10、deterministic=1、n_actions=302，与视频中一次被动反弹后落球一致；首次合格头颠球未完成。参考成功视频0.00–8.40 s可见球反复在头顶上升、下降，本次没有形成该连续过程。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频2.08–2.12 s间足球到达机器人头顶，随后向上反弹，说明头壳与球实际相碰；这是站立占位轨迹中的被动碰撞，未形成合格颠球。候选接触名“击打”，现有方式无直接对应，故用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–3.00 s中机器人双脚持续支承于草地，维持站姿等待发球，没有迈步追球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第2次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第2次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第3次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第3次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第4次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第4次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第5次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第5次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第6次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第6次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第7次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第7次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第8次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第8次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第9次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第9次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–3.00 s只有发球、一次头顶被动反弹及随后落球，未出现第10次合格头颠球的连续击球过程；评分器metric_headers=0、stages_reached=0。推断：第1次合格头颠球未完成，本事件的顺序前置未达，第10次节点全程不成立；后续调试试验不计入交付轨迹。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 0.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 0.0,
+   "log_step": 16,
+   "where": "首步前",
+   "evidence_zh": "观察：log step 16明确将保存对象称为placeholder，实际脚本仅重复站立指令并保存302行；视频0.00–3.00 s没有主动颠球动作，视频2.08–2.12 s间虽发生头球相碰并反弹，机器人仍保持原站姿，球随后落到脚边。推断：交付的站立基线未启动第1次主动头颠球，以视频0.00 s作为未启动的导航锚点；首次被动反弹不能替代合格颠球。"
+  },
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0.0,
+    "log_step": 16,
+    "evidence_zh": "观察：视频0.00–3.00 s中机器人始终维持站姿，没有为下落足球蹲起发力、调整头部或追球；log step 16保存脚本只执行同一站立保持指令。推断：第1次主动颠球动作未启动；此标签指未启动动作，实际头球碰撞仍记录在contact_actual中。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "交付",
+    "item": "交付操作出错",
+    "log_step": 16,
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 16调用save_trajectory()保存已知以足球触地失败的302行站立占位轨迹；log step 29、34、38中的save仅用numpy.save写诊断数组，log step 42之后的轨迹保存分支要求save参数，而后续实际试验调用没有传入该参数。直到log step 115结束，完整日志没有再次执行轨迹保存；评分器n_actions=302、deterministic=1，视频也显示原站立基线。推断：后续控制器试验未替换正式交付，最终仍评测早期占位文件，构成交付选择/更新错误。"
+   }
+  ],
+  "gap_zh": "没有状态日志，25 fps视频无法精确测定毫秒级触球时长及裁判所用速率比，因此不从反弹画面猜测具体未过的数值门槛。log step 9、10的站立诊断和后续控制器试验均属会话证据，未将其仿真事件时刻转换为本次视频时间；无法确定agent为何一直未更新占位交付。"
+ },
+ "summary_zh": "本次交付为log step 16保存的302步站立占位轨迹：足球在视频约2.10 s碰头后被动反弹，随后在视频约3.00 s落到脚边，合格头颠球为0/10。第1次主动颠球始终未启动，后续调试控制器未覆盖正式交付，根因记交付操作出错。无状态日志，触球时长及速率门槛细节无法从25 fps视频精确复核。",
+ "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：交付为log step 16保存的302行站立占位轨迹，球碰头后被动反弹并落地，合格头颠球0/10；断点、现象、根因（交付操作出错）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": "2026-10-31T00:41:24Z",
+  "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-juggling-head-i00-privileged--ok2aeu2/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--ok2aeu2/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "83ac3c83c0e39578c6a8cbf0d63ead5c1b559efc0d9b6bca6977011fdaa1ac31",
+   "video_sha256": "9f94395dd0d9204f4c58edd4faece217ad081a558c13878052a0e73302cb3e84",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--uf98bya.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--uf98bya.json
new file mode 100644
index 0000000000000000000000000000000000000000..699b2d5840b4f63222c13a655b48d5338a75e568
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--uf98bya.json
@@ -0,0 +1,383 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-privileged--uf98bya",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "outcome": {
+  "success": 0,
+  "reward": 0.4,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 582,
+   "sim_steps": 582,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.4,
+   "stages_reached": 4,
+   "stages_total": 10,
+   "fell": 1,
+   "replay_s": 4.89,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 2.754,
+   "metric_headers": 4.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 593,
+   "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": 1.595,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.845,
+   "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-juggling-head-i00-privileged--uf98bya/replay.mp4",
+  "duration_s": 5.84,
+  "fps": 25.0,
+  "frames": 146,
+  "sha256": "0a525cd20784b60789810201af7b54eceb69a6f6db52cac92271da6315cac015"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 4,
+  "final": 4,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.16,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": null,
+      "text_zh": "观察：视频 2.04–2.24 s，足球下落到机器人头顶后转为上升，机器人以蹲起、伸腿带动头部击球；这是本次视频中第1次头部反弹。达成时刻取视频约 2.16 s。"
+     },
+     {
+      "t": 2.16,
+      "log_step": 766,
+      "text_zh": "推断：视频中的前四次反弹均对应合格计数；最终交付文件的两次新进程复放在 log step 766 均列出 header 1 至 header 4，末状态哈希相同，且 inputs/run.json 的评分器字段 stages_reached=4、metric_headers=4、deterministic=1。因此第1次计数成立并作为事件保留；并非只凭画面反弹判定毫秒级触球和速率阈值。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.04–2.24 s，机器人头壳直接击打足球，球随后上升。候选接触名“击打”，现有方式没有相应项，依 S16 用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：第1次头颠球的蹲起及起落过程中，机器人双腿、脚与草地形成支撑，带动头部迎球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.12,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": null,
+      "text_zh": "观察：视频 3.00–3.24 s，足球下落到机器人头顶后转为上升，机器人以蹲起、伸腿带动头部击球；这是本次视频中第2次头部反弹。达成时刻取视频约 3.12 s。"
+     },
+     {
+      "t": 3.12,
+      "log_step": 766,
+      "text_zh": "推断：视频中的前四次反弹均对应合格计数；最终交付文件的两次新进程复放在 log step 766 均列出 header 1 至 header 4，末状态哈希相同，且 inputs/run.json 的评分器字段 stages_reached=4、metric_headers=4、deterministic=1。因此第2次计数成立并作为事件保留；并非只凭画面反弹判定毫秒级触球和速率阈值。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 3.00–3.24 s，机器人头壳直接击打足球，球随后上升。候选接触名“击打”，现有方式没有相应项，依 S16 用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：第2次头颠球的蹲起及起落过程中，机器人双腿、脚与草地形成支撑，带动头部迎球。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.16,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.16,
+      "log_step": null,
+      "text_zh": "观察：视频 4.04–4.32 s，足球下落到机器人头顶后转为上升，机器人以蹲起、伸腿带动头部击球；这是本次视频中第3次头部反弹。达成时刻取视频约 4.16 s。"
+     },
+     {
+      "t": 4.16,
+      "log_step": 766,
+      "text_zh": "推断：视频中的前四次反弹均对应合格计数；最终交付文件的两次新进程复放在 log step 766 均列出 header 1 至 header 4，末状态哈希相同，且 inputs/run.json 的评分器字段 stages_reached=4、metric_headers=4、deterministic=1。因此第3次计数成立并作为事件保留；并非只凭画面反弹判定毫秒级触球和速率阈值。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 4.04–4.32 s，机器人头壳直接击打足球，球随后上升。候选接触名“击打”，现有方式没有相应项，依 S16 用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：第3次头颠球的蹲起及起落过程中，机器人双腿、脚与草地形成支撑，带动头部迎球。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.44,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.44,
+      "log_step": null,
+      "text_zh": "观察：视频 5.32–5.56 s，足球下落到机器人头顶后转为上升，机器人以蹲起、伸腿带动头部击球；这是本次视频中第4次头部反弹。达成时刻取视频约 5.44 s。"
+     },
+     {
+      "t": 5.44,
+      "log_step": 766,
+      "text_zh": "推断：视频中的前四次反弹均对应合格计数；最终交付文件的两次新进程复放在 log step 766 均列出 header 1 至 header 4，末状态哈希相同，且 inputs/run.json 的评分器字段 stages_reached=4、metric_headers=4、deterministic=1。因此第4次计数成立并作为事件保留；并非只凭画面反弹判定毫秒级触球和速率阈值。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 5.32–5.56 s，机器人头壳直接击打足球，球随后上升。候选接触名“击打”，现有方式没有相应项，依 S16 用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：第4次头颠球的蹲起及起落过程中，机器人双腿、脚与草地形成支撑，带动头部迎球。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.6,
+      "log_step": 766,
+      "text_zh": "观察：视频 5.44–5.80 s，第四次击球后的足球仍在上升，机器人却向前倾倒、骨盆快速降低，末帧躯干接近水平；没有第五次头球接触。log step 766 的交付复放结果仅列出前四阶段，failed=fell，与评分器 fell=1、metric_headers=4 一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 5.44–5.80 s，机器人在第四次击球后继续伸腿、以脚接触草地支承身体，等待下一次头颠球期间向前失衡塌落；未建立第五次头部与足球接触。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.8,
+      "log_step": 766,
+      "text_zh": "推断：视频 5.44–5.80 s 仅见第四次击起后的足球上升及机器人倒下，之后没有新的头球循环；log step 766 的最终交付复放和评分器均确认只完成四次。DAG 要求顺序累计，故第6次头颠球未达成，且本次轨迹没有开展该次动作。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.8,
+      "log_step": 766,
+      "text_zh": "推断：视频 5.44–5.80 s 仅见第四次击起后的足球上升及机器人倒下，之后没有新的头球循环；log step 766 的最终交付复放和评分器均确认只完成四次。DAG 要求顺序累计，故第7次头颠球未达成，且本次轨迹没有开展该次动作。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.8,
+      "log_step": 766,
+      "text_zh": "推断：视频 5.44–5.80 s 仅见第四次击起后的足球上升及机器人倒下，之后没有新的头球循环；log step 766 的最终交付复放和评分器均确认只完成四次。DAG 要求顺序累计，故第8次头颠球未达成，且本次轨迹没有开展该次动作。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.8,
+      "log_step": 766,
+      "text_zh": "推断：视频 5.44–5.80 s 仅见第四次击起后的足球上升及机器人倒下，之后没有新的头球循环；log step 766 的最终交付复放和评分器均确认只完成四次。DAG 要求顺序累计，故第9次头颠球未达成，且本次轨迹没有开展该次动作。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 5.8,
+      "log_step": 766,
+      "text_zh": "推断：视频 5.44–5.80 s 仅见第四次击起后的足球上升及机器人倒下，之后没有新的头球循环；log step 766 的最终交付复放和评分器均确认只完成四次。DAG 要求顺序累计，故第10次头颠球未达成，且本次轨迹没有开展该次动作。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 4.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_5",
+   "t": 5.6,
+   "log_step": 766,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 5.44 s 已见第四次击球后足球离头上升；视频 5.56–5.80 s 机器人持续前倾、脚部支撑失效、骨盆塌低，尚未等到下一次球下降便倒下。log step 766 的最终交付两次复放均为四阶段后 fell，故未修复的失败步骤是继续完成第5次头颠球。"
+  },
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": true,
+   "headers_completed_3": true,
+   "headers_completed_4": true,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 5.6,
+    "log_step": 766,
+    "evidence_zh": "观察：视频 5.56–5.80 s，机器人在第四次头颠球后身体向前越倾越低，末帧躯干接近水平，无法保持脚部支撑站立；足球仍在上方。最终交付复放在 log step 766 报告 failed=fell，评分器也记录 fell=1。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 746 展示的交付生成脚本在仿真 5.30 s 后反复执行髋、膝、踝的伸展速度和力矩指令，第四次计数完成后仍进入同一分支，没有转入落地恢复动作；log step 762–766 重新运行该生成脚本并复放，确认交付仍为四次后摔倒。视频 5.44–5.80 s 对应出现击球后持续伸腿、前倾塌落，支持击球后的全身稳定控制不足；不足以进一步认定某个参数或控制子类。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有逐帧状态日志；25 fps 视频不能独立核实每次不超过0.05秒的触球时长、0.22米升高和0.95速率比，合格性结合最终交付复放阶段及评分器计数判定，达成时刻为视频近似值。脚本与画面支持控制归因，但缺少关节跟踪和支撑力记录，不能细分为反馈控制、轨迹或某个参数错误。"
+ },
+ "summary_zh": "本次轨迹在视频约 2.16、3.12、4.16、5.44 s 完成前四次合格头颠球，最终进度为4/10，与评分器及交付文件两次复放一致。第四次之后，机器人在继续第5次颠球的过程中于视频约 5.60–5.80 s 前倾塌落；脚本持续执行伸腿驱动而未恢复稳定支撑，根因保守归为控制。无逐帧状态日志，毫秒级接触及速率阈值依裁判计数核对，节点时刻取视频近似值。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "前四次头颠球时刻（视频约2.1、3.1、4.2、5.4 s）与画面相符，与评分器 stages_reached=4、fell=1 一致；断点为第5次、现象平衡、根因停在控制，均有证据支持，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": "2026-10-31T00:40:20Z",
+  "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-juggling-head-i00-privileged--uf98bya/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--uf98bya/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "886bf9c1f702c4a4646d1cd13be7b47056f1f1f3e5d2d2b88355d2181ed0dd6f",
+   "video_sha256": "0a525cd20784b60789810201af7b54eceb69a6f6db52cac92271da6315cac015",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--vt5caky.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--vt5caky.json
new file mode 100644
index 0000000000000000000000000000000000000000..6c72a1a88fc453d8d737196e1a88f73ae6c4de26
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--vt5caky.json
@@ -0,0 +1,327 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-privileged--vt5caky",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "outcome": {
+  "success": 0,
+  "reward": 0.2,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 379,
+   "sim_steps": 379,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 0.2,
+   "stages_reached": 2,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 4.05,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.094,
+   "metric_headers": 2.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 238,
+   "agent_resets": 16,
+   "agent_replays": 3,
+   "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-juggling-head-i00-privileged--vt5caky/replay.mp4",
+  "duration_s": 3.8,
+  "fps": 25.0,
+  "frames": 95,
+  "sha256": "03189534be475eae2483af82dc559aa2d2a259868ee6c8fbfcaf9527623f8545"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 2,
+  "final": 2,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 200,
+      "text_zh": "观察：视频 2.04–2.12 s，足球下落至机器人头顶后反向上升；视频 2.20–2.48 s，球已离头并继续升高。log step 200 的最终保存局裁判记录包含 header 1；log step 201 复现文件校验和不变，log step 202 官方回放为同一 379 行交付且进度为0.2，因此该裁判记录可用于核对本视频的合格次数。首次合格事件以视频约 2.20 s 为锚点。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.10 s，机器人头壳直接击打足球，使其由下降转为上升；候选接触名“击打”，现有接触方式无对应条目，故用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.04–2.24 s，机器人双脚着地支承，腰腿运动配合头部触球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 200,
+      "text_zh": "观察：视频 2.84–2.96 s，足球再次下降至机器人头部，随后在视频 3.00–3.12 s 离头上升并明显向画面左侧偏出。log step 200 的最终保存局裁判记录包含 header 2（触球时长0.011秒、入速4.00米/秒、还原出速3.92米/秒）；log step 201–202 确认该局文件复现及官方回放进度为0.2，reward.metric_headers=2，故本次虽横向偏出仍是合格第2次，约视频 3.08 s 达成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.94 s，机器人头壳直接击打足球，使其由下降转为上升；候选接触名“击打”，现有接触方式无对应条目，故用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.84–3.12 s，机器人双脚着地支承，腰腿运动配合头部触球。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.4,
+      "log_step": 200,
+      "text_zh": "观察：视频 3.08–3.76 s，第二次颠起的球持续向画面左侧、机器人后方飞离并下降；机器人身体反而向发球机方向倾斜，头部没有再次与球相遇。log step 200 的最终保存局裁判以足球触地结束，只有 header 1、header 2；最终 reward.metric_headers=2、stages_reached=2，第三次合格事件未发生。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 3.08–3.76 s，机器人以足部支承继续调整腰腿和头部姿态，后段身体明显前倾；球飞向其后方，未发生第三次头球接触。此处仅记录实际可见的足地支承，不虚构头球击打。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 202,
+      "text_zh": "观察：视频 3.08–3.76 s，足球在第二次触球后飞离机器人并降向地面，没有后续头部触球；最终评分器 metric_headers=2、stages_reached=2，log step 202 官方回放同为0.2进度。推断：按顺序计数，第4次合格头颠球从未达成，且尚未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 202,
+      "text_zh": "观察：视频 3.08–3.76 s，足球在第二次触球后飞离机器人并降向地面，没有后续头部触球；最终评分器 metric_headers=2、stages_reached=2，log step 202 官方回放同为0.2进度。推断：按顺序计数，第5次合格头颠球从未达成，且尚未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 202,
+      "text_zh": "观察：视频 3.08–3.76 s，足球在第二次触球后飞离机器人并降向地面，没有后续头部触球；最终评分器 metric_headers=2、stages_reached=2，log step 202 官方回放同为0.2进度。推断：按顺序计数，第6次合格头颠球从未达成，且尚未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 202,
+      "text_zh": "观察：视频 3.08–3.76 s，足球在第二次触球后飞离机器人并降向地面，没有后续头部触球；最终评分器 metric_headers=2、stages_reached=2，log step 202 官方回放同为0.2进度。推断：按顺序计数，第7次合格头颠球从未达成，且尚未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 202,
+      "text_zh": "观察：视频 3.08–3.76 s，足球在第二次触球后飞离机器人并降向地面，没有后续头部触球；最终评分器 metric_headers=2、stages_reached=2，log step 202 官方回放同为0.2进度。推断：按顺序计数，第8次合格头颠球从未达成，且尚未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 202,
+      "text_zh": "观察：视频 3.08–3.76 s，足球在第二次触球后飞离机器人并降向地面，没有后续头部触球；最终评分器 metric_headers=2、stages_reached=2，log step 202 官方回放同为0.2进度。推断：按顺序计数，第9次合格头颠球从未达成，且尚未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": 202,
+      "text_zh": "观察：视频 3.08–3.76 s，足球在第二次触球后飞离机器人并降向地面，没有后续头部触球；最终评分器 metric_headers=2、stages_reached=2，log step 202 官方回放同为0.2进度。推断：按顺序计数，第10次合格头颠球从未达成，且尚未进入该次尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 2.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_3",
+   "t": 3.08,
+   "log_step": 200,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.96–3.20 s，机器人第二次触球使足球升起，但球迅速向画面左侧、机器人后方飞离；视频 3.20–3.76 s，机器人未将头部移到球的后续路径上，球继续下降，始终没有第三次触球。log step 200 的最终保存局记录两次合格头球后因足球触地终止，log step 201–202 验证同一交付回放为2/10。推断：第二次事件已经完成，最先未修复的是继续第三次头颠球，取球刚明显飞离的约视频 3.08 s 为断点锚点。"
+  },
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": true,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 3.2,
+    "log_step": 200,
+    "evidence_zh": "观察：视频 3.08–3.76 s，足球向机器人后方飞行并下降，机器人头部没有跟随到它的路径上，二者距离持续增大，第三次头球未接续；机器人后段向发球机方向前倾。推断：这是连续击球过程中没有跟上运动中的球，以动态时机标记这一失误。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "视频 / 日志",
+    "evidence_zh": "推断：视频 2.96–3.20 s 的第二次出球带有明显横向分量，此后视频 3.20–3.76 s 机器人未能恢复头部与足球的相对位置，说明连续头球的出球方向和后续对球控制未维持住。log step 200 是最终交付对应的保存局，其脚本诊断第二次触球横向偏移为−0.085米、横向出速为−2.85米/秒；log step 201–202 确认该交付复现，支持画面中的偏出。上述数值属于agent脚本诊断，仅作辅助；现有证据不足以进一步区分接触设计、伺服跟踪或具体增益问题，故停在控制。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25帧/秒的固定视角不能独立测量毫秒级触球时长及还原速率，前两次是否合格由与交付及画面一致的裁判阶段记录和最终计数核对，达成时刻取画面上升阶段的近似锚点。最后可见帧为视频 3.76 s，球已接近地面，最终触地由log step 200 的对应保存局裁判记录确认；无法从现有记录可靠拆分控制根因的子类。"
+ },
+ "summary_zh": "机器人完成第1、2次合格头颠球，最终为2/10；第二次出球明显偏向后方，机器人未能跟上球的后续路径，断在第3次头颠球，随后球触地结束。视频支持连续对球控制失误，最终交付与官方回放记录一致；没有状态日志，接触时长和速率阈值依裁判记录核对，具体控制子类无法确定。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "节点1、2已达成、3–10未达成与评分器 metric_headers=2、stages_reached=2 一致；断点在第3次头颠球、现象与根因有证据支持。视频中球出界高飞，头球接触瞬间在25fps下难以逐帧确认，但计数由评分器结果界定。",
+    "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": "2026-10-31T00:41:24Z",
+  "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-juggling-head-i00-privileged--vt5caky/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--vt5caky/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "cfe7f1027a7986073221c88e6816bc0aa7743b493c211608f404234681512277",
+   "video_sha256": "03189534be475eae2483af82dc559aa2d2a259868ee6c8fbfcaf9527623f8545",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--ytl3oaj.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--ytl3oaj.json
new file mode 100644
index 0000000000000000000000000000000000000000..11dd289b1345b76d037ebec00fe3cf4181a2c16b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-privileged--ytl3oaj.json
@@ -0,0 +1,471 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-privileged--ytl3oaj",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 908,
+   "sim_steps": 908,
+   "horizon": 6000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 10,
+   "stages_total": 10,
+   "fell": 0,
+   "replay_s": 10.67,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 1.608,
+   "metric_headers": 10.0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 3154,
+   "agent_resets": 0,
+   "agent_replays": 10,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 54.0,
+   "peak_processes": 22,
+   "peak_disk_gb": 0.859,
+   "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-juggling-head-i00-privileged--ytl3oaj/replay.mp4",
+  "duration_s": 9.12,
+  "fps": 25.0,
+  "frames": 228,
+  "sha256": "c1e0ba6857486f922caedb2e92a5a3259b00025ecc50e5e9df41d62cd7e14063"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 10,
+  "final": 10,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": null,
+      "text_zh": "观察：视频约 2.12 s，足球下落至机器人头顶后转为上升；视频 2.20 s 球已离开头部并明显升高，为本局按顺序第1次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 1 于仿真 2.186 s 通过阶段验收，touch_s=0.011，speed_in=3.71、speed_out=3.75 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 164,
+      "text_zh": "推断：视频第1次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 2.20 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.12 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.96,
+      "log_step": null,
+      "text_zh": "观察：视频约 2.88 s，足球下落至机器人头顶后转为上升；视频 2.96 s 球已离开头部并明显升高，为本局按顺序第2次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 2.96,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 2 于仿真 2.957 s 通过阶段验收，touch_s=0.011，speed_in=3.70、speed_out=3.76 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 2.96,
+      "log_step": 164,
+      "text_zh": "推断：视频第2次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 2.96 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.88 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.76,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": null,
+      "text_zh": "观察：视频约 3.68 s，足球下落至机器人头顶后转为上升；视频 3.76 s 球已离开头部并明显升高，为本局按顺序第3次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 3.76,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 3 于仿真 3.732 s 通过阶段验收，touch_s=0.011，speed_in=3.74、speed_out=3.77 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 3.76,
+      "log_step": 164,
+      "text_zh": "推断：视频第3次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 3.76 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 3.68 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.52,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.52,
+      "log_step": null,
+      "text_zh": "观察：视频约 4.44 s，足球下落至机器人头顶后转为上升；视频 4.52 s 球已离开头部并明显升高，为本局按顺序第4次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 4.52,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 4 于仿真 4.511 s 通过阶段验收，touch_s=0.011，speed_in=3.74、speed_out=3.77 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 4.52,
+      "log_step": 164,
+      "text_zh": "推断：视频第4次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 4.52 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 4.44 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.32,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.32,
+      "log_step": null,
+      "text_zh": "观察：视频约 5.24 s，足球下落至机器人头顶后转为上升；视频 5.32 s 球已离开头部并明显升高，为本局按顺序第5次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 5.32,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 5 于仿真 5.290 s 通过阶段验收，touch_s=0.011，speed_in=3.74、speed_out=3.72 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 5.32,
+      "log_step": 164,
+      "text_zh": "推断：视频第5次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 5.32 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 5.24 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.08,
+      "log_step": null,
+      "text_zh": "观察：视频约 6.00 s，足球下落至机器人头顶后转为上升；视频 6.08 s 球已离开头部并明显升高，为本局按顺序第6次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 6.08,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 6 于仿真 6.059 s 通过阶段验收，touch_s=0.012，speed_in=3.69、speed_out=3.66 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 6.08,
+      "log_step": 164,
+      "text_zh": "推断：视频第6次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 6.08 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 6.00 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [
+     [
+      6.84,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.84,
+      "log_step": null,
+      "text_zh": "观察：视频约 6.76 s，足球下落至机器人头顶后转为上升；视频 6.84 s 球已离开头部并明显升高，为本局按顺序第7次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 6.84,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 7 于仿真 6.813 s 通过阶段验收，touch_s=0.011，speed_in=3.64、speed_out=3.69 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 6.84,
+      "log_step": 164,
+      "text_zh": "推断：视频第7次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 6.84 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 6.76 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [
+     [
+      7.6,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 7.6,
+      "log_step": null,
+      "text_zh": "观察：视频约 7.52 s，足球下落至机器人头顶后转为上升；视频 7.60 s 球已离开头部并明显升高，为本局按顺序第8次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 7.6,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 8 于仿真 7.575 s 通过阶段验收，touch_s=0.011，speed_in=3.66、speed_out=3.65 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 7.6,
+      "log_step": 164,
+      "text_zh": "推断：视频第8次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 7.60 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 7.52 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [
+     [
+      8.36,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 8.36,
+      "log_step": null,
+      "text_zh": "观察：视频约 8.28 s，足球下落至机器人头顶后转为上升；视频 8.36 s 球已离开头部并明显升高，为本局按顺序第9次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 8.36,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 9 于仿真 8.331 s 通过阶段验收，touch_s=0.012，speed_in=3.62、speed_out=3.59 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 8.36,
+      "log_step": 164,
+      "text_zh": "推断：视频第9次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 8.36 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 8.28 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [
+     [
+      9.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 9.08,
+      "log_step": null,
+      "text_zh": "观察：视频约 9.00 s，足球下落至机器人头顶后转为上升；视频 9.08 s 球已离开头部并明显升高，为本局按顺序第10次反弹。机器人双臂垂在球下方，实际击球部位为头壳。"
+     },
+     {
+      "t": 9.08,
+      "log_step": 164,
+      "text_zh": "观察：log step 164 输出最终生成的908行轨迹的裁判记录，header 10 于仿真 9.073 s 通过阶段验收，touch_s=0.011，speed_in=3.57、speed_out=3.60 m/s；log step 168、169 验证最终交付文件两次新进程回放成功且末状态哈希与该记录一致。"
+     },
+     {
+      "t": 9.08,
+      "log_step": 164,
+      "text_zh": "推断：视频第10次反弹与最终交付裁判阶段的顺序及运动相符，结合评分器 stages_reached=10、metric_headers=10，认定本次满足升高、触球时长及速率门槛。达成时间取已检查的视频 9.08 s 帧，精度约0.04–0.08秒；未将agent工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 9.00 s，机器人以躯干上方头壳击打下落足球，随后球向上离头；候选接触名“击打”，现有接触方式无对应值，按S16填其他。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 10.0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人在发球后连续用头部击起足球，十个事件节点全部达成；视频约 2.20 s 完成首次合格头颠球，视频约 9.08 s 完成第十次，末帧球已离头上升且机器人仍站稳。最终交付为908行轨迹，评分器报告十阶段全部通过、replay_success=1、deterministic=1，与已检查的视频相符；成功参考视频仅用于对照头部反弹的可见形态。没有状态日志，25 fps画面不能独立测准毫秒级触球时长和速率比，这些验收细节由最终交付版本的裁判记录（log step 164、168、169）佐证，节点时刻取视频帧作近似定位。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功局，十个事件节点均达成；视频帧显示第1次约2.12 s、第2次约2.88 s反弹，末次约9.0 s，与标注时间一致；接触（头壳击打，腿/躯干+其他）符合S16，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": "2026-10-31T00:40:50Z",
+  "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-juggling-head-i00-privileged--ytl3oaj/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-privileged--ytl3oaj/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9169bdb672cc69f9275f4735cf6e9aecbce488e98f47da21588d5e395ced5554",
+   "video_sha256": "c1e0ba6857486f922caedb2e92a5a3259b00025ecc50e5e9df41d62cd7e14063",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--4jmtlsx.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--4jmtlsx.json
new file mode 100644
index 0000000000000000000000000000000000000000..36d25f3fbb649725559f4ddc6e593712b8a079df
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--4jmtlsx.json
@@ -0,0 +1,313 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard--4jmtlsx",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 10903,
+   "calls": 191,
+   "rows": 5140,
+   "resets": 35,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5125.0,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.721,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.757,
+   "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-juggling-head-i00-standard--4jmtlsx/replay.mp4",
+  "duration_s": 3.04,
+  "fps": 25.0,
+  "frames": 76,
+  "sha256": "863912a28246bcd8bb1da9907b2420dfb8bc9c85f20de7a67769c5e54260dd86"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 310,
+      "text_zh": "观察：视频 2.04–2.12 s 足球下落至机器人头顶并转为上升，视频 2.20–2.52 s 球明显离头升高；log step 310 最后一局 a35 的裁判元数据 stages_reached=1。该局与视频的一次击起、第二次回落结束一致；首次合格头颠球约在视频 2.2 s 达成，时间为目测近似，并非把脚本拟合时间直接换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.08–2.16 s 机器人头壳使下落足球反弹；候选接触名“击打”，现有方式无对应条目，按S16填其他。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.96,
+      "log_step": 310,
+      "text_zh": "观察：视频 2.76–3.00 s 足球第二次下落至机器人头侧，未出现第二次向上反弹；log step 310 最后一局 a35 在 pop2 返回 stages_reached=1、reason=failed，裁判 outcome 为“the ball was touched by a part other than the head”。机器人已尝试迎接回落球，但第2次合格头颠球未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.76–3.00 s 机器人双脚支撑草地，并以腿和躯干姿态迎接回落足球。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 2.96–3.00 s 足球与机器人头颈投影重叠后被遮挡；log step 310 裁判确认有非头部触球，但现有单视角不能分辨具体是躯干、肩部还是手臂，不能确定该次实际球体接触的作用端及方式。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第3次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第4次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第5次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第6次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第7次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第8次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第9次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 310,
+      "text_zh": "观察：完整视频 0.00–3.00 s 仅见一次头部击起足球，随后回落结束；log step 310 最后一局 a35 的裁判 stages_reached=1 并因非头部触球判负。推断：按顺序累计计数，第10次头颠球未达成，且该局未进入此步的尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": null,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_2",
+   "t": 2.96,
+   "log_step": 310,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.76–3.00 s 机器人迎接第一次击起后的回落球，足球落至头侧后没有被再次击起；log step 310 的最后一局 a35 返回裁判 stages_reached=1，并以非头部触球判负。推断：与视频一致的最后在线评分局停在第2次头颠球，后续没有修复；该犯规是此步失败的结束事件。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.96,
+    "log_step": 310,
+    "evidence_zh": "观察：视频 2.80–3.00 s 足球持续回落，机器人头部未能跟上球的回落位置并将它击起，球与头颈区域重叠后消失在遮挡中；log step 310 裁判确认此次回落触及非头部部位。推断：这是迎击运动目标时未跟上的一次失配。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 2.96,
+    "log_step": 310,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "观察：log step 308 的脚本说明采用蹲伸击球，按拟合触球时间加飞行时长安排下一次蹲伸，并用腰俯仰和侧倾调整球的方向；log step 310 最后一局使用 wp0=-0.0395、wr0=0.0219、Kwr=0，仍只完成一个裁判阶段。视频 2.08–2.52 s 首次击球成功，视频 2.80–3.00 s 回落球未被头部再次击起。推断：该击球方向与迎球动作的控制未能形成连续循环；现有证据不足以进一步区分接触几何、轨迹跟踪或具体参数问题。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25帧/秒的固定场地视角不能独立量出0.05秒触球时长及0.95速率比，因此第一次合格计数结合最后一局裁判阶段记录确认，视频时间仅作近似定位。视频 2.96–3.00 s 的重叠遮挡不能确定最后触球的具体非头部部位，也不足以确定控制根因的子类型；agent 在 log step 313 对头壳面片及漂移量的自述未作为已验证的物理事实。reward 未单列 headers 原生指标值，故 native_metrics.value 留 null；裁判 stages_reached=1 用于节点判定。",
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  }
+ },
+ "summary_zh": "最后在线评分局与视频一致：机器人约在视频 2.2 s 完成第1次合格头颠球，最终进度为1/10。视频约 2.96 s 迎接回落球时未能再次用头部击起，裁判在 log step 310 以非头部触球判负，断点为第2次头颠球；证据支持连续迎球控制失败。缺少状态日志，精细接触阈值依裁判阶段核对，最终触球部位及更具体的控制机制无法确定。",
+ "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、断点和接触标注与视频及 log step 310 一致：视频约 2.1–2.3 s 球被击起并上升，约 3.0 s 回落球落到头颈处且未再升起，与 stages_reached=1、非头部触球判负相符；第2次为断点，其余节点未达成。\"动态时机\"现象和\"控制\"根因证据有限，但文中已声明不能进一步区分，未发现需要改变内容的错误。",
+    "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": "2026-10-31T00:47:06Z",
+  "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-juggling-head-i00-standard--4jmtlsx/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--4jmtlsx/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "29f33cb5958529306fc836e88c97b0c231ae3c225f5204bdefaae3fa671f2288",
+   "video_sha256": "863912a28246bcd8bb1da9907b2420dfb8bc9c85f20de7a67769c5e54260dd86",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--55hwbzj.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--55hwbzj.json
new file mode 100644
index 0000000000000000000000000000000000000000..0813907ad8b3f70cbd274c8a5d39a69bc0f6f1a3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--55hwbzj.json
@@ -0,0 +1,299 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard--55hwbzj",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 219,
+   "sim_steps": 13198,
+   "calls": 157,
+   "rows": 13198,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 2771.2,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0.0,
+   "peak_memory_gb": 0.313,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.911,
+   "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-juggling-head-i00-standard--55hwbzj/replay.mp4",
+  "duration_s": 2.2,
+  "fps": 25.0,
+  "frames": 55,
+  "sha256": "e7833d8a11b43c97fed8e544bcce5b511107303fa60e420b30b921c055543a25"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：已检查视频 0.00–2.16 s 全部55帧；发球机送出的足球在视频 2.08–2.16 s 从机器人头旁下落到肩部高度，机器人起身但没有把球击起。log step 238 的基准服务记录最后重置为 episode 51，随后返回 stages_reached=0、stages_total=10 及非头部触球终止，故第1次合格头颠球未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.16 s，机器人双足在草地上支承身体，并在接球动作中屈伸双腿、起身。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 2.12–2.16 s 足球从机器人头旁落向肩部区域；log step 238 的服务裁判明确报告非头部触球。末帧早于最终接触，无法区分碰到肩部躯干还是上臂，也无法确认具体接触方式，故不记为头部击打。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第2次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第3次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第4次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第5次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第6次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第7次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第8次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第9次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.16,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.00–2.16 s 只有发球及首次迎球过程，没有连续头颠球；log step 238 的最后一局 episode 51 服务结果为 stages_reached=0/10，非头部触球后终止。推断：按顺序锁存的第10次合格头颠球未达成；该步骤尚未开始。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 2.16,
+   "log_step": 238,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.08–2.16 s，足球下降到机器人头部旁边，机器人伸腿起身时球已接近肩部，未见头部将球向上击起。log step 238 显示最后一局 episode 51 在仿真 2.19 s 因“the ball was touched by a part other than the head”终止，阶段为0/10；log step 239 确认终局 control_steps=219。推断：未修复的失败发生在第1次头颠球的迎球动作中。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.16,
+    "log_step": 238,
+    "evidence_zh": "观察：视频 2.08 s 足球仍在头部上方偏侧，视频 2.12–2.16 s 已从头旁降至肩部高度，而机器人正在起身；本局服务裁判在 log step 238 报告非头部触球、阶段0/10。推断：机器人未在球经过头部高度时完成头部迎击，运动中的球先到达非头部区域。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "观察：log step 236 记录 agent 为最后一局采用向前左方预移、对称伸腿击球及恢复站姿的控制方案；log step 237 执行最后一次重置并运行该控制器，log step 238 返回非头部触球、0/10。视频 2.08–2.16 s 显示机器人起身时球沿头旁下降到肩部区域。推断：该控制器未将头部位置及起身动作与来球轨迹匹配；现有记录不足以再区分接触设计、轨迹或反馈控制子类。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "没有状态日志；视频为25帧/秒，最后一帧是视频 2.16 s，服务在仿真 2.19 s 判罚，非头部接触的准确碰撞体与毫秒级时序无法由画面确定。该局219个控制步乘以log step 7 的 control_dt=0.01 s 为2.19 s，与视频约2.20 s长度及末段迎球位置一致；此处视频导航仍取已检视的2.16 s帧。无法进一步确定控制根因的子类。",
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  }
+ },
+ "summary_zh": "本次评分是最后一局 episode 51：机器人迎接发球并起身，但足球从头旁落至肩部区域，因非头部触球结束，十个头颠球节点均未达成（log step 238，视频 2.08–2.16 s）。推断：第1次头颠球的迎击时机未与来球匹配，根因归为控制；较早测试达到一次头颠球不属于本次评分局。没有状态日志，25帧/秒视频不足以确定最终触球的具体非头部碰撞体及更细控制子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频和服务读数一致：最后一局 episode 51 在仿真 2.19 s 因非头部触球终止，stages 0/10，十个节点均未达成；断点、动态时机现象和控制根因有日志与画面支持，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": "2026-10-31T00:48:35Z",
+  "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-juggling-head-i00-standard--55hwbzj/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--55hwbzj/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b937ad1d8fcba8b6da2415b888f1bc00e1c2a54dcfa53ecd5a400da5e7ceccfe",
+   "video_sha256": "e7833d8a11b43c97fed8e544bcce5b511107303fa60e420b30b921c055543a25",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--a3shchv.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--a3shchv.json
new file mode 100644
index 0000000000000000000000000000000000000000..4cb193de0c3c6f733558c19de7e2a509a89e9c35
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--a3shchv.json
@@ -0,0 +1,389 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard--a3shchv",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 650,
+   "sim_steps": 19402,
+   "calls": 1174,
+   "rows": 15663,
+   "resets": 40,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7226.3,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.71,
+   "peak_processes": 10,
+   "peak_disk_gb": 1.311,
+   "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-juggling-head-i00-standard--a3shchv/replay.mp4",
+  "duration_s": 6.52,
+  "fps": 25.0,
+  "frames": 163,
+  "sha256": "d2dafcae11690a971daf33df605a444c169659915c024e3636bb9ff9864a16e1"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 5,
+  "final": 5,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": null,
+      "text_zh": "观察：本局视频 2.08–2.12 s，足球在机器人头顶由下降转为上升；视频 2.20 s 已离头上升约一个球直径以上，随后继续升至视频约 2.48 s 的高点。机器人以腰腿动作迎球，未见此次球碰其他身体部位或发球机。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 196,
+      "text_zh": "推断：按本局可见的第1段触头反弹、离头升幅及前后弹道高度/飞行时间判断第1次合格颠球约在视频 2.20 s 达成（时刻约有0.1秒误差）。log step 196 的服务记录确认最后一局为 episode 41，控制步推进至636、仿真6.36 s仍未终止；它不提供本局阶段计数，不能把先前 episode 的 stages_reached 直接当成本局计数。25帧/秒画面不能精确复核0.05秒接触窗及0.95速率比，达成判断含弹道推断。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.08–2.12 s，机器人头壳与足球发生第1次可见触头反弹；候选接触名“击打”，现有方式无对应条目，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触草地承重，腰腿屈伸和躯干倾斜配合此次头部击球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.92,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": null,
+      "text_zh": "观察：本局视频 2.80–2.84 s，足球在机器人头顶由下降转为上升；视频 2.92 s 已离头上升约一个球直径以上，随后继续升至视频约 3.32 s 的高点。机器人以腰腿动作迎球，未见此次球碰其他身体部位或发球机。"
+     },
+     {
+      "t": 2.92,
+      "log_step": 196,
+      "text_zh": "推断：按本局可见的第2段触头反弹、离头升幅及前后弹道高度/飞行时间判断第2次合格颠球约在视频 2.92 s 达成（时刻约有0.1秒误差）。log step 196 的服务记录确认最后一局为 episode 41，控制步推进至636、仿真6.36 s仍未终止；它不提供本局阶段计数，不能把先前 episode 的 stages_reached 直接当成本局计数。25帧/秒画面不能精确复核0.05秒接触窗及0.95速率比，达成判断含弹道推断。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.80–2.84 s，机器人头壳与足球发生第2次可见触头反弹；候选接触名“击打”，现有方式无对应条目，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触草地承重，腰腿屈伸和躯干倾斜配合此次头部击球。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.8,
+      "log_step": null,
+      "text_zh": "观察：本局视频 3.68–3.76 s，足球在机器人头顶由下降转为上升；视频 3.80 s 已离头上升约一个球直径以上，随后继续升至视频约 4.16 s 的高点。机器人以腰腿动作迎球，未见此次球碰其他身体部位或发球机。"
+     },
+     {
+      "t": 3.8,
+      "log_step": 196,
+      "text_zh": "推断：按本局可见的第3段触头反弹、离头升幅及前后弹道高度/飞行时间判断第3次合格颠球约在视频 3.80 s 达成（时刻约有0.1秒误差）。log step 196 的服务记录确认最后一局为 episode 41，控制步推进至636、仿真6.36 s仍未终止；它不提供本局阶段计数，不能把先前 episode 的 stages_reached 直接当成本局计数。25帧/秒画面不能精确复核0.05秒接触窗及0.95速率比，达成判断含弹道推断。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 3.68–3.76 s，机器人头壳与足球发生第3次可见触头反弹；候选接触名“击打”，现有方式无对应条目，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触草地承重，腰腿屈伸和躯干倾斜配合此次头部击球。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.72,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.72,
+      "log_step": null,
+      "text_zh": "观察：本局视频 4.60–4.64 s，足球在机器人头顶由下降转为上升；视频 4.72 s 已离头上升约一个球直径以上，随后继续升至视频约 5.12 s 的高点。机器人以腰腿动作迎球，未见此次球碰其他身体部位或发球机。"
+     },
+     {
+      "t": 4.72,
+      "log_step": 196,
+      "text_zh": "推断：按本局可见的第4段触头反弹、离头升幅及前后弹道高度/飞行时间判断第4次合格颠球约在视频 4.72 s 达成（时刻约有0.1秒误差）。log step 196 的服务记录确认最后一局为 episode 41，控制步推进至636、仿真6.36 s仍未终止；它不提供本局阶段计数，不能把先前 episode 的 stages_reached 直接当成本局计数。25帧/秒画面不能精确复核0.05秒接触窗及0.95速率比，达成判断含弹道推断。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 4.60–4.64 s，机器人头壳与足球发生第4次可见触头反弹；候选接触名“击打”，现有方式无对应条目，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触草地承重，腰腿屈伸和躯干倾斜配合此次头部击球。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.76,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.76,
+      "log_step": null,
+      "text_zh": "观察：本局视频 5.64–5.68 s，足球在机器人头顶由下降转为上升；视频 5.76 s 已离头上升约一个球直径以上，随后继续升至视频约 6.16 s 的高点。机器人以腰腿动作迎球，未见此次球碰其他身体部位或发球机。"
+     },
+     {
+      "t": 5.76,
+      "log_step": 196,
+      "text_zh": "推断：按本局可见的第5段触头反弹、离头升幅及前后弹道高度/飞行时间判断第5次合格颠球约在视频 5.76 s 达成（时刻约有0.1秒误差）。log step 196 的服务记录确认最后一局为 episode 41，控制步推进至636、仿真6.36 s仍未终止；它不提供本局阶段计数，不能把先前 episode 的 stages_reached 直接当成本局计数。25帧/秒画面不能精确复核0.05秒接触窗及0.95速率比，达成判断含弹道推断。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 5.64–5.68 s，机器人头壳与足球发生第5次可见触头反弹；候选接触名“击打”，现有方式无对应条目，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触草地承重，腰腿屈伸和躯干倾斜配合此次头部击球。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.48,
+      "log_step": 196,
+      "text_zh": "观察：已检查本局视频全程及视频5.52–6.48 s的逐帧结尾；第五次反弹后足球升出画面上缘，再于视频6.36–6.48 s返回，仍高于机器人头部，没有第六次触头反弹，也没有第6次合格颠球的离头升高过程。视频结尾机器人仍站立；参考成功视频显示后续颠球应有新的下降触头和上升，不能把本局同一段飞行重复计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频5.88–6.48 s机器人双脚在草地上承重并调整姿态，恢复站立准备承接下一次回球；本段尚无第六次头球接触。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.48,
+      "log_step": null,
+      "text_zh": "观察：已检查本局视频全程及视频5.52–6.48 s的逐帧结尾；第五次反弹后足球升出画面上缘，再于视频6.36–6.48 s返回，仍高于机器人头部，没有第六次触头反弹，也没有第7次合格颠球的离头升高过程。视频结尾机器人仍站立；参考成功视频显示后续颠球应有新的下降触头和上升，不能把本局同一段飞行重复计数。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.48,
+      "log_step": null,
+      "text_zh": "观察：已检查本局视频全程及视频5.52–6.48 s的逐帧结尾；第五次反弹后足球升出画面上缘，再于视频6.36–6.48 s返回，仍高于机器人头部，没有第六次触头反弹，也没有第8次合格颠球的离头升高过程。视频结尾机器人仍站立；参考成功视频显示后续颠球应有新的下降触头和上升，不能把本局同一段飞行重复计数。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.48,
+      "log_step": null,
+      "text_zh": "观察：已检查本局视频全程及视频5.52–6.48 s的逐帧结尾；第五次反弹后足球升出画面上缘，再于视频6.36–6.48 s返回，仍高于机器人头部，没有第六次触头反弹，也没有第9次合格颠球的离头升高过程。视频结尾机器人仍站立；参考成功视频显示后续颠球应有新的下降触头和上升，不能把本局同一段飞行重复计数。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.48,
+      "log_step": null,
+      "text_zh": "观察：已检查本局视频全程及视频5.52–6.48 s的逐帧结尾；第五次反弹后足球升出画面上缘，再于视频6.36–6.48 s返回，仍高于机器人头部，没有第六次触头反弹，也没有第10次合格颠球的离头升高过程。视频结尾机器人仍站立；参考成功视频显示后续颠球应有新的下降触头和上升，不能把本局同一段飞行重复计数。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": null,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_6",
+   "t": 6.48,
+   "log_step": 196,
+   "where": "操作中",
+   "evidence_zh": "观察：视频5.88–6.48 s，机器人在第五次反弹后恢复站姿，足球仍在空中，结尾正在向头部方向返回，未完成第六次头颠球。log step 195–196 启动最后一局 episode 41，执行第五次击球修正后用零平移速度的 walk_falcon 控制恢复站立；log step 196 随后仅请求观察0.14秒。推断：本局停在承接下一次回球的操作过程中，断点记第六次；视频6.48 s只是未完成步骤的导航锚点，不代表此刻已发生漏接、落地或摔倒。"
+  },
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": true,
+   "headers_completed_3": true,
+   "headers_completed_4": true,
+   "headers_completed_5": true,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [],
+  "root_causes": [],
+  "gap_zh": "观察：inputs/没有状态日志；reward 未报告 headers 或最后一局 stages_reached，log step 196 的 episode 41 服务输出仍为 done=False，log step 197 只有 agent 的弹道拟合与预算信息，没有本局终止裁判记录。本局视频最后可见帧为视频6.48 s，球仍在空中、机器人仍站立；较早 episode 38 的摔倒（log step 188）及 episode 40 的球触地、5个阶段（log step 195）均非本局，不能移作本局现象。推断：五次达成是基于可见离头升幅、前后弹道与执行上下文的判断，0.05秒触球时长和0.95速率比无法由25帧/秒单视角精确核实，尤其第五次没有本局原生计数确认；headers 指标保留null。结尾未呈现可归类的物理失败，故现象层留空；日志也未证实造成最后一局未完成第六次的具体控制、感知或规划错误，根因层留空，不把预算耗尽当成原因。"
+ },
+ "summary_zh": "本局视频支持机器人通过腰腿配合完成五次可见头部反弹，按离头升高和弹道推断第1至第5次节点达成，最终为5/10。断点为第6次头颠球：视频6.48 s结尾机器人仍站立，球还在空中返回，尚未再次触头，不能沿用早先重置局的落球或摔倒。没有最后一局的原生颠球计数及终止原因，精确接触时长和速率门槛未能核实，因此计数含推断，失败现象和根因均留空。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "视频(6.52 s，最后一局 episode 41)可见约 2.1/2.8/3.7/4.6/5.65 s 五次球在机器人头部高度下落后反弹上升，与五个节点时间一致，第6次未出现；断点记第6次合理。视频结束时该局仍在进行，未见失败现象，现象/根因留空并有 gap_zh，符合规则。",
+    "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": "2026-10-31T00:45:13Z",
+  "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-juggling-head-i00-standard--a3shchv/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--a3shchv/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b63fc0122b9ff741213a333e44be24f30a4a20bf3e12b86fc85b2106681722b6",
+   "video_sha256": "d2dafcae11690a971daf33df605a444c169659915c024e3636bb9ff9864a16e1",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--awdcnwc.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--awdcnwc.json
new file mode 100644
index 0000000000000000000000000000000000000000..489fa192718c8c40c9514f8083355b72dd38a58e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--awdcnwc.json
@@ -0,0 +1,326 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard--awdcnwc",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 245,
+   "sim_steps": 1621,
+   "calls": 46,
+   "rows": 1017,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4164.5,
+   "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,
+   "peak_memory_gb": 0.384,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.245,
+   "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-juggling-head-i00-standard--awdcnwc/replay.mp4",
+  "duration_s": 2.48,
+  "fps": 25.0,
+  "frames": 62,
+  "sha256": "30e4b8ded079f0729f9e34ba3c29cfabb560b17327ddeb5ffc14e292c896b3a4"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.12,
+      "log_step": 121,
+      "text_zh": "观察：视频 1.92–2.12 s 机器人屈膝并倾斜躯干迎接下落足球；视频 2.12–2.20 s 足球经过头壳画面左侧后继续向左下方运动，视频 2.44 s 已在脚旁近地面，全程没有离头后升高一个球直径的反弹。log step 121 的第6局服务返回球触地及 stages_reached=0（脚本打印为 DONE the ball touched the ground 0），与画面一致，第1次合格头颠球未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "候选接触名“击打”：视频 2.12–2.16 s 足球与头壳侧缘相邻并向侧下方偏出，推断头壳发生擦击，未形成向上颠球；无更贴切的现有接触方式。25帧/秒画面不能精确确定瞬时接触点。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "视频 1.92–2.44 s 机器人双足支承草地，膝、腰运动带动头部迎球；未见本体摔倒。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第2次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第3次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第4次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第5次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第6次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第7次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第8次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第9次也未达到，且未开始该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.44,
+      "log_step": 121,
+      "text_zh": "观察：视频 2.12–2.44 s 足球从机器人头侧向下离开并落到脚旁，没有后续头部反弹；log step 121 的第6局服务报告球触地且完成阶段数为0。推断：本局尚未完成第1次合格头颠球，依原生计数顺序，第10次也未达到，且未开始该次尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 2.12,
+   "log_step": 121,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.92–2.12 s 机器人已屈膝、倾斜躯干进行首次迎球；视频 2.12–2.20 s 足球由头壳侧缘向画面左下方离开，随后持续下落，视频 2.44 s 在脚旁近地面，没有向上颠起或修复。log step 121 显示本局为最后的第6局，服务报告球触地、stages_reached=0、done=True；失败发生在第1次头颠球的操作中。"
+  },
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 2.12,
+    "log_step": 121,
+    "evidence_zh": "观察：视频 2.04–2.12 s 足球下落至机器人头部附近，头壳位于球的画面右下方；视频 2.12–2.20 s 球经过头壳侧缘后向画面左下方离开，至视频 2.44 s 接近草地，没有向上反弹。log step 121 的脚本计划为本局仿真 tc=2.108 s；log step 4 给出控制步长0.01 s，log step 121 的本局 control_steps=245 对应仿真2.45 s，与视频 2.44 s 末帧球近地事件核对一致，故仅在帧级精度下将计划与视频约2.1 s 的头侧接近作近似比对。推断：可见偏差是头壳相对来球的位置与姿态未形成有效向上击球，归为位姿不准；现有证据不足以认定接触过早、过晚，也不能证明计划与实际触球时刻精确相同。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "抓取和接触设计",
+    "alt_feasible": "未知",
+    "t": 2.12,
+    "log_step": 121,
+    "evidence_zh": "观察：log step 105 的脚本修改按来球横向速度选取预倾角；log step 121 的第6局首击计划采用 al=+0.177、be=+0.015、dxp=-0.083、vh=0.55。视频 1.92–2.20 s 机器人屈膝、倾斜躯干迎球，但足球从头壳侧缘向左下方离开。log step 111 的第5局也采用 al=+0.177、be=+0.015、dxp=-0.083（vh=0.45），服务同样报告球触地且完成阶段数0；该局仅作方案的会话证据。推断：首击所选头壳相对来球的接触几何未形成向上颠球，支持接触设计失配；没有实际关节姿态偏离指令的记录，不据此归为执行跟踪误差。agent 在 log step 123、126 自述倾角符号错误、应改用负倾角，但未验证，不能将 al 的符号单独认定为已证实的错误参数；针对该接触设计的可行替代仍为未知。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志或毫秒级接触记录，视频为25帧/秒，头球瞬时擦碰由侧缘接近及后续偏转推断，无法核实准确接触点、触球时长及离球速率。服务在 log step 121 明确报告本局完成阶段数0，因此节点进度可确定；headers原生指标按该阶段数对应头颠球计数填写为0。log step 122 的检测在本局仿真2.05 s 后断档至仿真2.17 s，仿真2.31–2.45 s 又停留在约(u=223,v=128)；视频 2.32–2.44 s 的真实足球已从头侧向草地下落。结合本局控制步计时与末帧事件的近似核对，推断末段检测可能受到头部附近斑块污染，但该异常晚于首击偏球，且无证据证明正确检测可在余下运动中挽救本局，不列为失败根因。agent 所称倾角符号错误及应改用负倾角（log step 123、126）均未验证，实际姿态与指令的误差也未记录；接触设计失配保留为推断，不断言某个倾角修正必然可行。"
+ },
+ "summary_zh": "评分视频对应 log step 121 的最后第6局：机器人尝试首次头颠球，但足球在视频约 2.12 s 经过头壳侧缘后向左下方偏出，至视频 2.44 s 落到脚旁；服务报告球触地、完成阶段数0，十个节点均未达到。现象为位姿不准，日志中的预倾角方案与侧缘偏球支持接触设计失配的推断；末段检测异常不再列为根因。置信度保持7：无状态日志，瞬时接触、实际姿态误差及具体倾角修正仍无法核实。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点进度（十个均未达成、断点在 headers_completed_1）与视频、服务读数一致；但现象「动态时机」与日志中的计划击球时刻相矛盾，应为位姿不准；根因「感知」不能解释首击失败，且是后验读数，建议删除。",
+    "n_issues": 3,
+    "n_major": 2
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "十个节点均未达成、断点 headers_completed_1、现象位姿不准与视频一致：视频约 2.0–2.2 s 球落到头壳侧缘后向左下偏出，至 2.44 s 落到脚旁，无向上反弹；接触设计根因有计划参数支持且未过度断言。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": "2026-10-31T00:52:30Z",
+  "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-juggling-head-i00-standard--awdcnwc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--awdcnwc/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--awdcnwc/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--awdcnwc/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ec22d03777307881dd3c22d80626d985d0ae9cc90dbe3e547355c97102a059c7",
+   "video_sha256": "30e4b8ded079f0729f9e34ba3c29cfabb560b17327ddeb5ffc14e292c896b3a4",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--cgvk36v.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--cgvk36v.json
new file mode 100644
index 0000000000000000000000000000000000000000..a7905ac0aed7ec30bea7a1e8080bb2d2fddf07d3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--cgvk36v.json
@@ -0,0 +1,313 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard--cgvk36v",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 309,
+   "sim_steps": 15285,
+   "calls": 113,
+   "rows": 14681,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3865.2,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.593,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.334,
+   "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-juggling-head-i00-standard--cgvk36v/replay.mp4",
+  "duration_s": 3.12,
+  "fps": 25.0,
+  "frames": 78,
+  "sha256": "39b1fdc9968cd29639d5ab7ca365c37e294b4049a768d0a9bd7edcf98da84e9e"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 605,
+      "text_zh": "观察：视频 0.00–1.20 s 足球仍在发球机内，随后被发出；视频 2.08–2.12 s 足球在机器人头顶转为向上运动，视频 2.16–2.32 s 持续离头升高。log step 605 是最后一次重置后执行最终脚本的服务返回，裁判阶段数为 1/10；据此核对第1次合格头颠球已完成，达标时刻取视频约 2.20 s。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.08–2.12 s 机器人头壳将足球击起；候选接触名“击打”，现有接触方式无对应条目，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.68–2.32 s 机器人以双足在草地上支撑，腰腿配合完成第一次头球动作。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.88,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.48 s 左右足球到达第一次反弹的高点，随后下降；视频 2.84–2.92 s 球从机器人头前降至胸前，视频 2.96–3.08 s 继续落到脚边，未见第二次上升反弹。log step 605 的最终裁判返回为足球触地、阶段数 1/10，第2次合格头颠球未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.32–3.08 s 机器人双足支撑在草地上等待并尝试第二次顶球，球下落经过头前，未见头部再次把球击起；不把第一次头球的击打接触复制到本节点。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 3，第3次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 4，第4次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 5，第5次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 6，第6次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 7，第7次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 8，第8次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 9，第9次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 605,
+      "text_zh": "观察：视频 2.84–3.08 s 足球经过机器人头前后连续下落至草地，视频结束前没有继续颠球；log step 605 的最终裁判记录为 1/10 次合格头颠球、足球触地结束。推断：顺序计数未达到 10，第10次头颠球未完成，也未进入该次动作。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 1,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_2",
+   "t": 2.88,
+   "log_step": 605,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 2.20 s 第一次反弹已上升，视频 2.84–2.92 s 足球再次下落时从机器人头前通过而未再被顶起，至视频 3.08 s 落至脚边；机器人始终站立。log step 605 在最后一次重置后的最终提交中返回裁判阶段数 1/10 和“the ball touched the ground”，log step 606 确认 episode 51 已结束；断在正在尝试的第2次头颠球。"
+  },
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.88,
+    "log_step": 600,
+    "evidence_zh": "观察：视频 2.84–2.92 s 足球下降通过头前时，机器人没有及时上顶使球转为上升，视频 2.96–3.08 s 球继续落向地面。log step 600 的最终控制脚本把第二次上顶开始设在控制步 300、预计触球设在控制步 306。推断：第二次上顶晚于球经过头部的窗口，未跟上下落的运动目标。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "参数调试",
+    "t": 2.88,
+    "log_step": 600,
+    "source_zh": "日志",
+    "evidence_zh": "推断：最终脚本的第二次上顶时间参数过晚。log step 600 明确使用 dt=0.01 s、contact_steps 首项306、s_thrust_start=300，即仿真 3.00 s 开始第二次上顶；脚本注释预计仿真 3.05–3.07 s 才到头高。log step 605–606 确认最终 episode 51 在控制步309、仿真 3.09 s 因球触地结束，与视频 3.08 s 末帧球到草地的可见事件相符，控制步×0.01 s 与视频时钟在一帧内吻合；实际视频 2.84–2.92 s 球已通过头部。因此该参数使上顶发生在球已降到头下之后，而非仅由失败结果反推控制问题。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25 fps 场地视频不能独立量出不超过0.05秒的触球持续时间或0.95速率比，第1次合格计数依据最终提交的裁判阶段记录核对，达标时刻为视频约 2.20 s 的视觉估计。单一场地视角不能完全排除第二次下降中的瞬时头部擦触，因此只记录可见的双足支撑，不另声称发生第二次头球击打。"
+ },
+ "summary_zh": "最终评分局完成第1次合格头颠球（视频约 2.20 s），最终保留 1/10 个节点；第2次头颠球时未跟上下落的足球，视频约 2.88 s 球通过头前后落地。最终脚本将第二次上顶安排在仿真 3.00 s 才开始，晚于视频中实际下降窗口，支持控制参数调试失当；log step 605 的最终裁判返回同为 1/10、足球触地。无状态日志，毫秒级触球和速率门槛依最终裁判计数核对，不能由25 fps画面独立测定。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "逐帧核对：球在视频约 2.10–2.14 s 触头后上升，约 2.45 s 达顶，2.84–2.92 s 回落到头部高度未被再顶起，约 3.0 s 落地，与标注一致；log step 605 返回 1/10、球触地，step 600 脚本第二次上顶起于控制步300（3.00 s），晚于球实际经过头部的时刻，动态时机/参数调试有证据支持。节点、断点、接触与 unmet 均无需修改。",
+    "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": "2026-10-31T00:49:05Z",
+  "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-juggling-head-i00-standard--cgvk36v/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--cgvk36v/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "abba7b5bb4b8858537968581e1b9badc9ae55e18fa1939c3353fc034b37ea898",
+   "video_sha256": "39b1fdc9968cd29639d5ab7ca365c37e294b4049a768d0a9bd7edcf98da84e9e",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--hlavd56.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--hlavd56.json
new file mode 100644
index 0000000000000000000000000000000000000000..6c627a7dbc4d48830b789f1af7880e1e1a96d468
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--hlavd56.json
@@ -0,0 +1,333 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard--hlavd56",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 435,
+   "sim_steps": 4209,
+   "calls": 53,
+   "rows": 2673,
+   "resets": 11,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5266.8,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.932,
+   "peak_processes": 8,
+   "peak_disk_gb": 0.354,
+   "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-juggling-head-i00-standard--hlavd56/replay.mp4",
+  "duration_s": 4.36,
+  "fps": 25.0,
+  "frames": 109,
+  "sha256": "eb3966afa5ef4c6055f7992c61d49bdbbb72afb41e10b029861871c5c15c75d0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 2,
+  "final": 2,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": null,
+      "text_zh": "观察：视频 2.04–2.12 s 下落足球在机器人头顶改变方向，视频 2.20–2.48 s 已离头并明显升高超过一个球直径；机器人以腿部蹲起配合头部击球。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 192,
+      "text_zh": "推断：本次前两次回弹的高度与来球高度相近，结合成功参考中的合格回弹形态，判断达到本次计数；达成时间取可见升足约一个球直径的时刻，误差约0.1秒。log step 192 比较的本次第12局与第10局在前两次回弹期间轨迹接近，作为辅助核对；未把第10局的裁判计数直接移用于本局。25帧视频不能精确验证0.05秒接触及0.95速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.10 s，机器人蹲起并用头壳击打足球。候选名称“击打”；现有接触方式没有击打条目，按S16使用其他。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.96,
+      "log_step": null,
+      "text_zh": "观察：视频 2.76–2.84 s 足球再次落到机器人头顶并反弹，视频 2.96–3.20 s 已离头且升高超过一个球直径；机器人以腿部蹲起配合头部击球。"
+     },
+     {
+      "t": 2.96,
+      "log_step": 192,
+      "text_zh": "推断：本次前两次回弹的高度与来球高度相近，结合成功参考中的合格回弹形态，判断达到本次计数；达成时间取可见升足约一个球直径的时刻，误差约0.1秒。log step 192 比较的本次第12局与第10局在前两次回弹期间轨迹接近，作为辅助核对；未把第10局的裁判计数直接移用于本局。25帧视频不能精确验证0.05秒接触及0.95速率比。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.84 s，机器人蹲起并用头壳击打足球。候选名称“击打”；现有接触方式没有击打条目，按S16使用其他。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": null,
+      "text_zh": "观察：视频 3.52–3.60 s，机器人头部与下落足球接触，足球随后向画面右侧、发球机方向飞离；视频 3.64–3.80 s 只有很小的上升，远低于前两次回弹，之后持续下落，视频 4.32 s 已被发球机遮住。"
+     },
+     {
+      "t": 3.76,
+      "log_step": null,
+      "text_zh": "推断：比较视频 3.60 s 离头位置与视频约 3.76 s 的回弹最高处，球心上升不足约一个足球直径，未达到本节点0.22米升高要求，故第3次合格计数未达成；此为画面尺度推断，未取得本局终局裁判阶段数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 3.56–3.60 s，机器人头壳实际击中足球，球向画面右侧偏出。候选名称“击打”；现有接触方式没有对应条目，按S16使用其他。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.32 s 足球离开机器人头顶后向发球机方向偏出并下落，机器人仍站在原处，未出现第4次或后续头部触球。推断：第3次合格头颠球未达成，且其后无新增回弹，第4次合格头颠球未达成。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.32 s 足球离开机器人头顶后向发球机方向偏出并下落，机器人仍站在原处，未出现第4次或后续头部触球。推断：第3次合格头颠球未达成，且其后无新增回弹，第5次合格头颠球未达成。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.32 s 足球离开机器人头顶后向发球机方向偏出并下落，机器人仍站在原处，未出现第4次或后续头部触球。推断：第3次合格头颠球未达成，且其后无新增回弹，第6次合格头颠球未达成。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.32 s 足球离开机器人头顶后向发球机方向偏出并下落，机器人仍站在原处，未出现第4次或后续头部触球。推断：第3次合格头颠球未达成，且其后无新增回弹，第7次合格头颠球未达成。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.32 s 足球离开机器人头顶后向发球机方向偏出并下落，机器人仍站在原处，未出现第4次或后续头部触球。推断：第3次合格头颠球未达成，且其后无新增回弹，第8次合格头颠球未达成。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.32 s 足球离开机器人头顶后向发球机方向偏出并下落，机器人仍站在原处，未出现第4次或后续头部触球。推断：第3次合格头颠球未达成，且其后无新增回弹，第9次合格头颠球未达成。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 4.32,
+      "log_step": null,
+      "text_zh": "观察：视频 3.60–4.32 s 足球离开机器人头顶后向发球机方向偏出并下落，机器人仍站在原处，未出现第4次或后续头部触球。推断：第3次合格头颠球未达成，且其后无新增回弹，第10次合格头颠球未达成。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": null,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_3",
+   "t": 3.6,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 3.56–3.60 s 机器人正在用头迎击第三次下落足球；该次接触后足球向右偏出，视频 3.64–3.80 s 仅小幅升起，此后下落至发球机遮挡区，结束前未再回到头部。推断：第三次击球未满足升高要求，是首个未修复的失败步骤。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 3.6,
+    "log_step": null,
+    "evidence_zh": "观察：视频 3.56–3.80 s，机器人第三次头部击球后，足球明显横向飞离头顶，只小幅上升；视频 3.84–4.32 s 球持续远离机器人并下落。推断：该次击球方向偏离持续向上颠球所需方向；接触已经发生，不能标没建立接触。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "视频",
+    "evidence_zh": "推断：视频 2.08–3.20 s 的前两次击球能使球回到头顶；视频 3.56–3.80 s 第三次头部击球却将球打向侧前方且升高不足，表明本次击球姿态与输出方向控制未能维持连续颠球。log step 171 是本局蹲起并调节腰俯仰、侧倾的控制脚本，log step 198 对本局第三次击球前腰姿态的读数支持机器人确在执行该动作；证据不足以细分接触设计、估计误差或反馈控制。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25帧/秒视频不足以逐次精确核验0.05秒接触时长和0.95速率比，前两次达成及第三次升高不足由可见回弹轨迹推断。inputs/run.json 的 reward 未报告 headers，本局后台执行（log step 172）的终局裁判阶段数与终止原因也未保留在可见输出中；log step 202 的 stages=3 属第10局，不能用于本局。视频 4.32 s 球被发球机遮挡，不能仅凭本视角确定最终触地还是碰机。最后一局身份由11次重置、log step 171–172 的第12局执行及视频回弹序列与该局分析相合确定；agent 最后自述（log step 217）仍在分析旧数据，未声明成功。",
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": true,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  }
+ },
+ "summary_zh": "本次评分视频对应最后的第12局：机器人完成前两次明显向上的头颠球，第三次触球后球仅小幅升起便向发球机方向偏出，第3至第10次合格计数未达成。断点位于视频约 3.60 s 的第3次头颠球，表现为击球方向偏差，根因保守归为控制。无状态日志且缺少本局终局裁判计数，毫秒级接触、速率门槛与最终遮挡处的终止接触无法直接核实。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "逐帧核对：视频约 2.1 s、2.84 s 球落到头顶后升高明显超过一个球直径，约 3.55–3.6 s 第三次触头后球只在头顶附近小幅起伏并向右偏出，之后下落；节点 1、2 达成、3–10 未达成，断点 headers_completed_3、操作中、位姿不准、控制根因均有帧证据支持，且已注明证据不足处（无状态日志、无本局裁判计数）。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": "2026-10-31T00:45:01Z",
+  "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-juggling-head-i00-standard--hlavd56/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--hlavd56/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8fa6360366907ae55ec3f2aa1fb487c23c070fd70c4cf41fb44d5bce6ebfb20d",
+   "video_sha256": "eb3966afa5ef4c6055f7992c61d49bdbbb72afb41e10b029861871c5c15c75d0",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--sncbhr7.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--sncbhr7.json
new file mode 100644
index 0000000000000000000000000000000000000000..234f41c0194ae36a6f855fe1fe73c2c2308952e4
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard--sncbhr7.json
@@ -0,0 +1,394 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard--sncbhr7",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 621,
+   "sim_steps": 25147,
+   "calls": 16220,
+   "rows": 24443,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 3378.4,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.806,
+   "peak_processes": 12,
+   "peak_disk_gb": 2.191,
+   "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-juggling-head-i00-standard--sncbhr7/replay.mp4",
+  "duration_s": 6.24,
+  "fps": 25.0,
+  "frames": 156,
+  "sha256": "2f31f1dccd4aafed6fb0c4a8a1cb0b05477e5c7e72f2b06e624716d5ef1bb00b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 4,
+  "final": 4,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 130,
+      "text_zh": "观察：视频 2.08–2.12 s 足球落至机器人头顶，随后视频 2.20–2.32 s 明显离头上升，构成按顺序的第1次反弹；双腿配合屈伸，双手未参与击球。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 130,
+      "text_zh": "推断：log step 37 的脚本直接打印服务裁判 res.meta.stages_reached；log step 130 的末次第51局输出该值为4，且621个控制步、零剩余重置与评分记录一致。因此视频中的前四次反弹均获裁判接受，第1次达成时间约取视频 2.20 s（离头后升高的可见锚点，非毫秒级验收时刻）。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：第1次反弹由机器人头壳接触足球并击起；候选接触方式“击打”，现有方式无对应值，按S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚支承草地，腰腿屈伸带动头部升起击球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.08,
+      "log_step": 130,
+      "text_zh": "观察：视频 2.96–3.00 s 足球落至机器人头顶，随后视频 3.08–3.24 s 明显离头上升，构成按顺序的第2次反弹；双腿配合屈伸，双手未参与击球。"
+     },
+     {
+      "t": 3.08,
+      "log_step": 130,
+      "text_zh": "推断：log step 37 的脚本直接打印服务裁判 res.meta.stages_reached；log step 130 的末次第51局输出该值为4，且621个控制步、零剩余重置与评分记录一致。因此视频中的前四次反弹均获裁判接受，第2次达成时间约取视频 3.08 s（离头后升高的可见锚点，非毫秒级验收时刻）。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：第2次反弹由机器人头壳接触足球并击起；候选接触方式“击打”，现有方式无对应值，按S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚支承草地，腰腿屈伸带动头部升起击球。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [
+     [
+      4.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.08,
+      "log_step": 130,
+      "text_zh": "观察：视频 3.92–3.96 s 足球落至机器人头顶，随后视频 4.08–4.24 s 明显离头上升，构成按顺序的第3次反弹；双腿配合屈伸，双手未参与击球。"
+     },
+     {
+      "t": 4.08,
+      "log_step": 130,
+      "text_zh": "推断：log step 37 的脚本直接打印服务裁判 res.meta.stages_reached；log step 130 的末次第51局输出该值为4，且621个控制步、零剩余重置与评分记录一致。因此视频中的前四次反弹均获裁判接受，第3次达成时间约取视频 4.08 s（离头后升高的可见锚点，非毫秒级验收时刻）。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：第3次反弹由机器人头壳接触足球并击起；候选接触方式“击打”，现有方式无对应值，按S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚支承草地，腰腿屈伸带动头部升起击球。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [
+     [
+      5.08,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 5.08,
+      "log_step": 130,
+      "text_zh": "观察：视频 4.92–4.96 s 足球落至机器人头顶，随后视频 5.08–5.24 s 明显离头上升，构成按顺序的第4次反弹；双腿配合屈伸，双手未参与击球。"
+     },
+     {
+      "t": 5.08,
+      "log_step": 130,
+      "text_zh": "推断：log step 37 的脚本直接打印服务裁判 res.meta.stages_reached；log step 130 的末次第51局输出该值为4，且621个控制步、零剩余重置与评分记录一致。因此视频中的前四次反弹均获裁判接受，第4次达成时间约取视频 5.08 s（离头后升高的可见锚点，非毫秒级验收时刻）。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：第4次反弹由机器人头壳接触足球并击起；候选接触方式“击打”，现有方式无对应值，按S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚支承草地，腰腿屈伸带动头部升起击球。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.04,
+      "log_step": 130,
+      "text_zh": "观察：视频 5.76–6.00 s 足球再次下落，机器人调整上身并起身迎球；视频 6.04 s 球位于头侧，视频 6.08–6.20 s 未出现再次向上飞行，机器人仍站立，球的后续路径被身体和发球机遮挡。"
+     },
+     {
+      "t": 6.2,
+      "log_step": 130,
+      "text_zh": "观察：log step 130 为最后一次重置后的第51局，脚本打印服务裁判 stages_reached=4、outcome=the ball touched the ground，服务状态 control_steps=621、done=True、resets_left=0；评分 reward 也记录 n_actions=621、resets=50、graded_by_live=1。第5次合格头颠球未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 5.76–6.20 s 机器人双脚支承草地，腰腿调整及起身迎接第五次来球；头与球在视频 6.04 s 投影重叠，但不能确认是否擦到头壳，不计为已证实的击打。"
+     },
+     {
+      "who": "未知",
+      "how": "未知",
+      "note_zh": "观察：视频 6.04–6.08 s 球经过头侧后被遮挡，无接触日志，无法确定第五次迎球是否有短暂头球接触。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.2,
+      "log_step": 130,
+      "text_zh": "观察：视频中仅出现前四次头顶反弹，第五次下落后未再弹起；log step 130 的末次第51局服务裁判阶段数为4，并因足球触地结束。故第6次合格头颠球未达到，视频中也未进入该次击球尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.2,
+      "log_step": 130,
+      "text_zh": "观察：视频中仅出现前四次头顶反弹，第五次下落后未再弹起；log step 130 的末次第51局服务裁判阶段数为4，并因足球触地结束。故第7次合格头颠球未达到，视频中也未进入该次击球尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.2,
+      "log_step": 130,
+      "text_zh": "观察：视频中仅出现前四次头顶反弹，第五次下落后未再弹起；log step 130 的末次第51局服务裁判阶段数为4，并因足球触地结束。故第8次合格头颠球未达到，视频中也未进入该次击球尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.2,
+      "log_step": 130,
+      "text_zh": "观察：视频中仅出现前四次头顶反弹，第五次下落后未再弹起；log step 130 的末次第51局服务裁判阶段数为4，并因足球触地结束。故第9次合格头颠球未达到，视频中也未进入该次击球尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 6.2,
+      "log_step": 130,
+      "text_zh": "观察：视频中仅出现前四次头顶反弹，第五次下落后未再弹起；log step 130 的末次第51局服务裁判阶段数为4，并因足球触地结束。故第10次合格头颠球未达到，视频中也未进入该次击球尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 4,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_5",
+   "t": 6.04,
+   "log_step": 130,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 5.76–6.04 s 机器人正在调整头部迎接第五次下落的足球，随后球从头侧漏下，视频至 6.20 s 都没有再次上升；log step 130 的末次第51局服务裁判记录4个已达阶段并以足球触地结束，此后未重置或修复。断点为第5次头颠球。"
+  },
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": true,
+   "headers_completed_3": true,
+   "headers_completed_4": true,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 6.04,
+    "log_step": 130,
+    "evidence_zh": "观察：视频 5.92–6.04 s 足球下降至头顶高度时，机器人起身和调整上身未能将球再次颠起，球沿头侧继续下降；视频 6.08–6.20 s 未再见上升轨迹。log step 130 的服务裁判仍只计4次并报告球触地，说明第五次迎击没有跟上运动中的球。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 6.04,
+    "log_step": 130,
+    "evidence_zh": "推断：log step 37 的 multi.py 依据预设控制步及腰、踝参数生成 target(t)，相机检测结果只记录，不用于修正该控制目标；log step 130 的末次调用沿用此前四次动作并为第五次设置固定参数 [595,0,-0.056,0.017]。视频 5.76–6.04 s 显示机器人执行迎球姿态变化，但未在来球通过头侧时产生有效上顶，随后裁判计数仍为4。证据支持该次迎球运动控制未形成合格反弹；无法进一步区分接触几何、时序或实际关节跟踪误差。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态或接触日志；25 fps画面不能逐次测定0.05 s触球时长和0.95速率比，前四次是否合格由末次服务裁判 stages_reached=4 核对，节点时间为视频可见上升的近似锚点。视频 6.04–6.20 s 头侧及地面球路受到身体、发球机遮挡，第五次是否擦头及实际触地瞬间不可直接确认，触地原因来自 log step 130 的该局裁判返回；未将早先各重置局的碰身或失衡计入本次。控制根因的具体子类证据不足。"
+ },
+ "summary_zh": "本次受评分的末次第51局完成前4次合格头颠球，达成锚点约为视频 2.20、3.08、4.08、5.08 s，最终4/10。机器人在第5次迎球时未能跟上落球并再次颠起，断点约在视频 6.04 s；log step 130 的服务裁判以足球触地结束该局，固定参数迎球控制未奏效。无接触日志，前四次精确阈值依裁判计数核对，第五次是否擦头及触地瞬间因遮挡无法确认。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "前4次反弹的视频锚点（约2.1/3.0/4.1/5.1 s）与末次第51局裁判 stages_reached=4、log step 130 的 sim 6.21 s 触地一致；断点第5次头颠球、动态时机现象、控制根因均有证据支持，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": "2026-10-31T00:38:37Z",
+  "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-juggling-head-i00-standard--sncbhr7/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard--sncbhr7/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b13ee73991eec9dbc784572825a41f112ac07ed9748163a685084aa3ad3112be",
+   "video_sha256": "2f31f1dccd4aafed6fb0c4a8a1cb0b05477e5c7e72f2b06e624716d5ef1bb00b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--387hfqj.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--387hfqj.json
new file mode 100644
index 0000000000000000000000000000000000000000..83450a7f4f5b1146ed7e120d5ae4175bd3cd062a
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--387hfqj.json
@@ -0,0 +1,362 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--387hfqj",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 275,
+   "sim_steps": 1672,
+   "calls": 2756,
+   "rows": 44706,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 4680.6,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 16.7,
+   "max_lag_s": 0.0064,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 306,
+   "late_steps": 0,
+   "requests_refused": 5,
+   "request_busy_s": 1.432,
+   "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-juggling-head-i00-standard-realtime--387hfqj/replay.mp4",
+  "duration_s": 2.76,
+  "fps": 25.0,
+  "frames": 69,
+  "sha256": "0e54f11857817968f23bf88ae1421300282f34d5badd4f819d2b452e689fbcfb"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.12,
+      "log_step": 127,
+      "text_zh": "观察：视频 2.08–2.12 s 足球下落到机器人头部边缘，视频 2.16–2.24 s 球离头后仅轻微回升，升幅明显小于同处球体的一个直径；视频 2.28–2.72 s 球向画面左侧持续下落，未再回到头顶。"
+     },
+     {
+      "t": 2.24,
+      "log_step": null,
+      "text_zh": "推断：首次触球后的升高不足节点要求的0.22米，故第1次合格头颠球未完成；不是由总分为零反推。"
+     },
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：log step 127 服务状态确认最后一局为 episode 6，control_steps=275、done=True，裁判反馈为“the ball touched the ground”；脚本打印的“touch 1 assumed”是其自行假定的触球，不是裁判合格计数。视频 2.72 s 球已接近机器人画面左侧草地，机器人仍站立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.08–2.24 s 机器人以头部边缘触及足球，球短暂反弹后离头向画面左侧偏出；作用端为头壳，对象为足球。候选方式“击打”，现有方式无对应项，使用其他。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第2次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第2次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第3次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第3次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第4次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第4次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第5次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第5次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第6次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第6次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第7次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第7次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第8次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第8次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第9次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第9次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.72,
+      "log_step": 127,
+      "text_zh": "观察：完整视频 0.00–2.72 s 只有视频约 2.12 s 一次头部触球，此后足球向画面左侧落下，没有第10次触球或连续颠起；log step 127 服务裁判报告最后一局因足球触地结束。"
+     },
+     {
+      "t": 2.72,
+      "log_step": null,
+      "text_zh": "推断：第1次合格头颠球未完成，且无后续头颠球，第10次合格头颠球所需计数和前置均未达到。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": null,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 2.12,
+   "log_step": 127,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 2.12 s 机器人头部触球后，足球仅轻微回升，视频 2.24–2.72 s 随即向画面左侧落下，未形成合格的首次颠球，也未补救。log step 127 确认评分的最后一局 episode 6 因足球触地终止。"
+  },
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "接触力异常",
+    "t": 2.12,
+    "log_step": 127,
+    "evidence_zh": "观察：视频 2.12–2.24 s 足球与机器人头部相遇后只出现远小于一个球直径的回升，同时明显向画面左侧偏离；视频 2.28–2.72 s 球下落至近地面，机器人保持站立，log step 127 裁判报告球触地。推断：头部击球的向上冲量不足，未把球有效颠起至要求高度。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "观察：log step 121 将控制器改为 lowcmd 关节目标与显式PD增益，log step 126 调整蹲起幅度、恢复时长及腰部偏置，log step 127 运行该控制器完成最后一局；视频 1.44–2.24 s 机器人腰腿运动并使头部倾移，但视频约 2.12 s 触球后球仅轻微回升并偏出。推断：控制器未实现该次头颠球所需的头部运动和有效向上击球；尚不能确定是跟踪、触球几何还是参数问题，故保留控制宽类。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志及裁判逐次 headers/stages 记录；25帧/秒单固定视角不能精确测量接触持续时间、三维离球速率比或头部速度，原生指标 headers 的评分器值未报告，故填 null。首个节点为 false 依据画面中回升不足一个球直径，不依赖这些缺失数值。log step 128 是 agent 自写诊断文件的加速度摘录，log step 129–130 关于腿部下沉、速率比及补偿力矩的解释未经独立验证，不据此细分控制根因；log step 126 的本地两次合格颠球属于会话测试，未计入本次评分局。"
+ },
+ "summary_zh": "评分采用 log step 127 的最后一局 episode 6：机器人在视频约 2.12 s 用头部触球，但球仅轻微回升，随后向画面左侧落地，十个合格头颠球节点均未达成（0/10）。断点为第1次头颠球，现象是击球向上作用不足，根因保留为控制；机器人在本次视频中未摔倒。缺少裁判逐次计数及状态日志，无法精确核实接触时长、速率比或控制失效的具体机制。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "评分局 episode 6（control_steps=275≈视频2.76 s）与视频吻合：视频约2.0–2.2 s球落到头部高度后仅被轻微弹开并向左落地，十个节点均未达成，断点、现象与控制根因有证据且未把agent会话诊断当事实。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": "2026-10-31T00:52:32Z",
+  "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-juggling-head-i00-standard-realtime--387hfqj/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--387hfqj/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c8213780cc527fdf21de0dad7f30fd451d5d5c9d5c537ce8e37528c8eb624afd",
+   "video_sha256": "0e54f11857817968f23bf88ae1421300282f34d5badd4f819d2b452e689fbcfb",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--4qyhrmk.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--4qyhrmk.json
new file mode 100644
index 0000000000000000000000000000000000000000..f00d9ca9edf43e48f051ae8f58acff4f9d9f1f5b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--4qyhrmk.json
@@ -0,0 +1,363 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--4qyhrmk",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 4072,
+   "calls": 3619,
+   "rows": 12999,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 6914.1,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 40.695,
+   "max_lag_s": 0.0525,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 760,
+   "late_steps": 416,
+   "requests_refused": 9,
+   "request_busy_s": 3.3,
+   "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-juggling-head-i00-standard-realtime--4qyhrmk/replay.mp4",
+  "duration_s": 3.64,
+  "fps": 25.0,
+  "frames": 91,
+  "sha256": "737efefa9c537c04c27051469d485f427b482ffd074a0759dbd16b99a08a18b4"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 2,
+  "final": 2,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.24,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.24,
+      "log_step": 217,
+      "text_zh": "观察：视频 2.04–2.12 s 足球落到机器人头顶，视频 2.16–2.40 s 球离头向上反弹，至视频约 2.24 s 已升高约一个球直径；log step 217 的最后一局服务裁判结果为 stages_reached=2、stages_total=10，与两次可见反弹相符。该服务结果是场地在线裁判的累计合格次数，不是 agent 脚本打印的 TOUCH 预测次数；首次达成时间按视频近似标注。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.12 s 机器人头壳与足球短暂接触，使足球反弹；候选接触名为“击打”，现有接触方式无对应值，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触草地，腰腿配合蹲起和调整头部位置，为本次头颠球提供支承。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.96,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.96,
+      "log_step": 217,
+      "text_zh": "观察：视频 2.72–2.88 s 足球再次下降至机器人头顶，视频 2.92–3.12 s 再次离头上升，至视频约 2.96 s 升高约一个球直径；log step 217 的最后一局在线裁判结果 stages_reached=2 确认前两次均计数，故第2次事件保留至片尾。时间来自所检视频帧，未把 agent 工作时间或脚本 TOUCH 预测值换算成视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.88 s 机器人头壳与足球短暂接触，使足球反弹；候选接触名为“击打”，现有接触方式无对应值，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚接触草地，腰腿配合蹲起和调整头部位置，为本次头颠球提供支承。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.32,
+      "log_step": 217,
+      "text_zh": "观察：视频 2.96–3.28 s 机器人在第二次反弹后挪动支撑、调整躯干以跟随足球；视频 3.32–3.60 s 身体持续倾斜并塌低，足球仍在空中下降，没有第三次头顶触球及击起。log step 217 中最后一局 episode=11 的服务裁判返回 outcome=\"fell\"、stages_reached=2、resets_left=0；因此第3次未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.96–3.32 s 机器人双脚在草地上支撑并挪动，躯干调整以追随第二次反弹后的足球，随后失衡塌落；本节点未发生可见的头部击球，故不记击打。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 217,
+      "text_zh": "观察：已检查视频全程及视频 2.64–3.60 s 的逐帧结尾，机器人仅出现两次头顶反弹，随后失衡塌落；log step 217 的最后一局在线裁判终局记录 stages_reached=2、stages_total=10。推断：累计次数未达到4，第4次头颠球未达成，前置第3次也未完成，未见对本节点的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 217,
+      "text_zh": "观察：已检查视频全程及视频 2.64–3.60 s 的逐帧结尾，机器人仅出现两次头顶反弹，随后失衡塌落；log step 217 的最后一局在线裁判终局记录 stages_reached=2、stages_total=10。推断：累计次数未达到5，第5次头颠球未达成，前置第3次也未完成，未见对本节点的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 217,
+      "text_zh": "观察：已检查视频全程及视频 2.64–3.60 s 的逐帧结尾，机器人仅出现两次头顶反弹，随后失衡塌落；log step 217 的最后一局在线裁判终局记录 stages_reached=2、stages_total=10。推断：累计次数未达到6，第6次头颠球未达成，前置第3次也未完成，未见对本节点的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 217,
+      "text_zh": "观察：已检查视频全程及视频 2.64–3.60 s 的逐帧结尾，机器人仅出现两次头顶反弹，随后失衡塌落；log step 217 的最后一局在线裁判终局记录 stages_reached=2、stages_total=10。推断：累计次数未达到7，第7次头颠球未达成，前置第3次也未完成，未见对本节点的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 217,
+      "text_zh": "观察：已检查视频全程及视频 2.64–3.60 s 的逐帧结尾，机器人仅出现两次头顶反弹，随后失衡塌落；log step 217 的最后一局在线裁判终局记录 stages_reached=2、stages_total=10。推断：累计次数未达到8，第8次头颠球未达成，前置第3次也未完成，未见对本节点的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 217,
+      "text_zh": "观察：已检查视频全程及视频 2.64–3.60 s 的逐帧结尾，机器人仅出现两次头顶反弹，随后失衡塌落；log step 217 的最后一局在线裁判终局记录 stages_reached=2、stages_total=10。推断：累计次数未达到9，第9次头颠球未达成，前置第3次也未完成，未见对本节点的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": 217,
+      "text_zh": "观察：已检查视频全程及视频 2.64–3.60 s 的逐帧结尾，机器人仅出现两次头顶反弹，随后失衡塌落；log step 217 的最后一局在线裁判终局记录 stages_reached=2、stages_total=10。推断：累计次数未达到10，第10次头颠球未达成，前置第3次也未完成，未见对本节点的独立尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 2,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_3",
+   "t": 3.2,
+   "log_step": 217,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 2.96 s 第二次头颠球完成后，机器人继续调整头部和脚部去接下一球；视频约 3.20 s 起身体明显倾斜，视频 3.40–3.60 s 双腿伸出、骨盆和躯干塌低，未能再用头击起足球。log step 217 的最后一局 episode=11 服务结果为 outcome=\"fell\"、stages_reached=2；第3次头颠球是失衡时正在进行且未补成的步骤。"
+  },
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": true,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 3.2,
+    "log_step": 217,
+    "evidence_zh": "观察：视频 3.20–3.60 s 机器人上身向画面右侧倾斜，脚部支撑未能跟上，双腿伸出、身体塌落；足球仍在其上方空中，未出现第三次击球。log step 217 在线裁判以 outcome=\"fell\" 结束最后一局。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 3.2,
+    "log_step": 216,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "观察：log step 216 对相机反馈控制器加入反弹偏置修正并启动最终 gen.py 10；log step 217 的控制器记录在第二次预计触球后继续改变头部目标位置，随后服务返回 fell。视频 2.96–3.60 s 显示机器人追球调整身体时支撑未能维持并塌落。推断：该最终控制器没有在连续头颠球的姿态调整中保持全身稳定，归为控制；这些记录不足以区分轨迹、反馈增益或球轨迹估计中哪一项首先出错。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25 fps 的固定视角无法独立测出每次不超过0.05秒的接触时长及离球速率比，前两次合格性由 log step 217 的最后一局服务裁判累计次数核对，达成时间为视频近似值。最终局未提供足够的逐步目标与实际姿态误差、力或接触数据，无法进一步定位失衡的控制子原因；会话其他局的三次计数及本地模型多次接触均不计入本次进度。"
+ },
+ "summary_zh": "最后一局在视频约 2.24 s、2.96 s 完成前两次合格头颠球，最终为2/10；log step 217 的在线裁判累计次数与可见两次反弹一致，较早调试局的进度不计入。机器人在接第三球的身体调整中失衡，视频约 3.20 s 起倾斜并在片尾塌落，裁判以“fell”终止，断点为第3次头颠球，根因保留在控制层。无状态日志，毫秒级触球门槛与具体失衡机制无法仅凭画面独立复核。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 8,
+    "summary_zh": "WHERE 标签（两次头颠球约 2.24/2.96 s、第3次未达成、断点 headers_completed_3、平衡失稳）与视频和 log step 217 一致。唯一问题：根因 item 写成“控制”，不是分类表 控制 下的合法 item，需改为具体 item。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频逐帧核对：约2.1 s和2.9 s头顶两次击球反弹，之后约3.2 s起失衡倒地、球仍在空中，与2/10、断点第3次、平衡现象和控制根因一致；log step 217服务结果 outcome=fell、stages_reached=2 支持。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": "2026-10-31T00:53:27Z",
+  "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-juggling-head-i00-standard-realtime--4qyhrmk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--4qyhrmk/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--4qyhrmk/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--4qyhrmk/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "8eb09c296e80649c70e30af47924745bb1f59e0c68e8de4a947565fdea07795b",
+   "video_sha256": "737efefa9c537c04c27051469d485f427b482ffd074a0759dbd16b99a08a18b4",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--a3w6w56.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--a3w6w56.json
new file mode 100644
index 0000000000000000000000000000000000000000..b83589c11466d01c8b0fd5f5791c8107b03106a9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--a3w6w56.json
@@ -0,0 +1,305 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--a3w6w56",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 295,
+   "sim_steps": 2982,
+   "calls": 33,
+   "rows": 10001,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 978.9,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 29.81,
+   "max_lag_s": 0.0241,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 297,
+   "late_steps": 0,
+   "requests_refused": 0,
+   "request_busy_s": 0.753,
+   "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-juggling-head-i00-standard-realtime--a3w6w56/replay.mp4",
+  "duration_s": 2.96,
+  "fps": 25.0,
+  "frames": 74,
+  "sha256": "c5c0d07eae2a8319575e394e23596fb09b997b03016482ae2b9759b0666a3a84"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.12,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.04–2.12 s，足球降到机器人头顶附近后转为上升，视频 2.32 s 左右到达短暂反弹的最高处，随后向画面左侧偏离；视频 2.92 s 球已降至机器人左侧近地面。log step 100 的基准服务返回最终第11局 stages_reached=0、stages_total=10，并报告球触地结束；这次可见反弹未获第1次合格计数。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.08–2.12 s 足球在机器人头壳上方极近处由下落转为上升，随后离头；候选接触方式为“击打”，现有方式无对应项，采用其他。机器人以双脚支承并作腰腿屈伸。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第2次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第3次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第4次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第5次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第6次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第7次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第8次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第9次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.92,
+      "log_step": 100,
+      "text_zh": "观察：视频 2.12–2.92 s，球仅短暂上升后向画面左侧落下，机器人没有形成后续连续头球；log step 100 的基准服务返回最终第11局 stages_reached=0/10。推断：未获得第1次合格计数，顺序锁存的第10次头颠球也未达到，且未进入该计数步骤。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 2.12,
+   "log_step": 100,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.08–2.12 s 球在机器人头顶发生短暂反弹，但机器人未把球持续维持在头顶上方，视频 2.48–2.92 s 球向画面左侧下落。log step 100 的基准服务明确报告最终第11局为0/10、因球触地判负；第1次合格头颠球始终未完成。"
+  },
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.12,
+    "log_step": 100,
+    "evidence_zh": "观察：视频 2.04–2.12 s 来球到达头顶并短暂反弹时，机器人仍基本直立；视频 2.32–2.48 s 才出现明显屈膝和躯干俯仰，此时球已离开头顶并向画面左侧移动，视频 2.60–2.92 s 机器人未跟上落球。推断：机器人腰腿击球动作未配合来球经过头顶的时机，未形成合格的连续头颠球。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "观察：log step 98 中 agent 自述最终改用定时的对称膝踝伸展脉冲；log step 101 展示的最终局控制脚本以固定周期生成整段 joints 目标，并在一次 submit 后等待观测。视频 2.08–2.48 s 显示头顶反弹与明显腰腿动作错开，视频 2.60–2.92 s 球偏离后也未被追上；log step 100 的最终局服务计数为0/10。推断：这套定时关节控制未能协调头部运动与实际来球，控制是可支持的归因；现有证据不足以细分为跟踪、接触几何或某个参数错误。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有状态日志或逐次裁判接触记录；25帧/秒的固定视角不足以精确测量头球接触时长、三维升高量及离球速率比，因此不能确定首次反弹具体未通过哪个计数门槛，也不能进一步确定控制子类。视频最后一帧为 2.92 s，球已近地面；触地终止由 log step 100 的最终局服务结果确认。该局 control_steps=295、control_dt=0.01 s 对应仿真 2.95 s，与视频末段落球相符；未将 agent 工作时间换算为视频时间。"
+ },
+ "summary_zh": "最终评分第11局中，机器人头部使球短暂反弹，但基准服务记录合格头颠球为0/10，十个节点均未达到。失败断点是第1次头颠球：来球经过头顶与腰腿动作未同步，球随后偏离并落地，根因保留为控制。缺少逐次接触与速率记录，无法确定首次反弹被拒计的具体门槛。",
+ "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11局视频 2.96 s 对应 control_steps=295，球在 2.12 s 前后经过头顶上方后向左下落，服务报告 stages_reached=0/10，十个节点均未达到；断点首个节点、动态时机、控制（控制/控制，DECISIONS 允许）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": "2026-10-31T00:51:35Z",
+  "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-juggling-head-i00-standard-realtime--a3w6w56/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--a3w6w56/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ef82c01632798e8bbe6dd74520a24cc9d537fed37080e9ea1c967788aa45e806",
+   "video_sha256": "c5c0d07eae2a8319575e394e23596fb09b997b03016482ae2b9759b0666a3a84",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--itdjwug.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--itdjwug.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa67e763da8f0be8b4485ec4faeeef94355b9f0a
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--itdjwug.json
@@ -0,0 +1,317 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--itdjwug",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 301,
+   "sim_steps": 1679,
+   "calls": 261,
+   "rows": 1618,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 794.1,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 16.775,
+   "max_lag_s": 0.0265,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 305,
+   "late_steps": 26,
+   "requests_refused": 6,
+   "request_busy_s": 1.217,
+   "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-juggling-head-i00-standard-realtime--itdjwug/replay.mp4",
+  "duration_s": 3.04,
+  "fps": 25.0,
+  "frames": 76,
+  "sha256": "66f5cad164b59c482394215ab7efb2867f4bb9c966a1f19f7a8b9aa9d3785ccf"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.12,
+      "log_step": null,
+      "text_zh": "观察：视频 2.04–2.16 s，足球向机器人头顶下落，约视频 2.1 s 触头后向上反弹；视频 2.36–2.48 s 球仍在空中，但随后向画面左侧偏离。可见一次反弹不等于一次合格计数。"
+     },
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 2.72–3.00 s，足球从机器人头部的画面左侧落下，机器人仍站立，球在末帧接近脚旁草地；log step 126 启动并结束最后的 episode 6，log step 128 的基准在线裁判返回该局 control_steps=301、sim_time_s=3.01、stages_reached=0/10、outcome=\"the ball touched the ground\"，确认第1次合格颠球未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.1 s，机器人头壳与下落足球短暂接触，使球反弹；候选接触方式为“击打”，现有方式无对应项，按S16填其他；该接触未获合格计数。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.00 s，机器人双脚持续支承身体，机器人通过腰部与上身动作尝试调整头部位置。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第2次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第3次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第4次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第5次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第6次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第7次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第8次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第9次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 128,
+      "text_zh": "观察：视频 0.00–3.00 s 仅显示足球一次触头反弹，随后从头旁落下；log step 128 的最后一局在线裁判记录 stages_reached=0/10，球触地终止。推断：顺序计数尚未达到第1次，第10次头颠球也未达成，未见该计数步骤的独立尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 2.1,
+   "log_step": 128,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 2.1 s，机器人头部使来球反弹，但视频 2.72–2.84 s 未能顶到再次下落、已向画面左侧偏离的球，足球随后落到脚旁；log step 128 的最后一局基准裁判记录 0/10，触地判负。推断：首次触头未形成合格颠球，之后也未补成第1次，断点为第1次头颠球。"
+  },
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.76,
+    "log_step": 128,
+    "evidence_zh": "观察：视频 2.64–2.84 s，足球再次下落并持续向画面左侧偏离；机器人虽有腰部及上身调整，头部仍未跟到球下方，球从头旁降到头部以下，视频 2.88–3.00 s 继续落向草地；log step 128 确认最终因球触地而结束。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 122 的控制器代码使用视觉落点预测及腰部俯仰、侧倾来对球并击球，log step 126 确认该控制器用于最后的 episode 6；视频 2.64–2.84 s 中机器人调整上身仍未跟上偏离的下落球，未形成下一次头部接触。证据支持击球与对球控制未奏效，但不足以细分为接触几何、轨迹跟踪或参数问题。",
+    "source_zh": "视频 / 日志"
+   }
+  ],
+  "gap_zh": "无状态日志或最后一局逐物理步接触、离球速度及裁判中间计数记录，25 fps 视频不能精确核实0.05秒触球时长与0.95速率比；首次反弹未计数由最终0/10确认，具体未满足哪项阈值不能直接测定。log step 122 的初始击球计划片段已在输入日志中被截断，不能据此确定首次击球的指令时序。log step 126 的 EpisodeOver 报错发生在在线裁判已判负之后，不据此归因为控制脚本崩溃。"
+ },
+ "summary_zh": "评分采用 log step 126 启动的最后一局 episode 6：机器人约在视频 2.1 s 用头部使足球反弹，但基准裁判最终记录合格颠球0/10，十个节点均未达成。机器人随后未跟上再次下落且偏向画面左侧的球，视频约 2.8 s 球从头旁落下，末尾触地判负，断点为第1次头颠球，支持动态时机现象及控制根因。缺少逐物理步接触和速度记录，无法确定首次反弹未计数的具体阈值原因。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "终局 episode 6（control_steps=301、sim 3.01 s，与 3.04 s 视频吻合）0/10、球触地；视频 2.08 s 球在头部高度附近反弹后上升再落到头左侧触地，十个节点未达成、断点为第1次头颠球、接触标注均与证据一致；因果只定到\"控制\"并在 gap_zh 说明了不确定处，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": "2026-10-31T00:50:45Z",
+  "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-juggling-head-i00-standard-realtime--itdjwug/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--itdjwug/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "3e905781526afd606ff60dbd9634b3d98a78cf104267e271cc9c6541d817b737",
+   "video_sha256": "66f5cad164b59c482394215ab7efb2867f4bb9c966a1f19f7a8b9aa9d3785ccf",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--m2vfhvk.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--m2vfhvk.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9cfedcad623e25b1fda113e404041f4d8b90a7c
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--m2vfhvk.json
@@ -0,0 +1,324 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--m2vfhvk",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 280,
+   "sim_steps": 1632,
+   "calls": 99945,
+   "rows": 3217,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1909.7,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 16.306,
+   "max_lag_s": 0.2428,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 4,
+   "late_steps": 8,
+   "requests_refused": 4,
+   "request_busy_s": 21.277,
+   "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-juggling-head-i00-standard-realtime--m2vfhvk/replay.mp4",
+  "duration_s": 2.84,
+  "fps": 25.0,
+  "frames": 71,
+  "sha256": "9f16855d8297a8093bed8ffa053f856418eb85b3f34055964934305e25580710"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.12,
+      "log_step": null,
+      "text_zh": "观察：视频 2.08–2.16 s，足球下降至机器人头壳后反弹；视频 2.32–2.40 s 达到较低的弧顶并继续向画面右侧偏出，视频 2.80 s 落至发球机轮组上沿；全片只有这一次头球接触。"
+     },
+     {
+      "t": 2.36,
+      "log_step": 70,
+      "text_zh": "推断：对比视频 1.84–2.08 s 的来球下降与视频 2.16–2.72 s 的反弹轨迹，触后升速及总速率低于来球，未达到合格头颠球要求的0.95速率比，故第1次合格计数未达成；此为画面推断，非裁判计数读数。log step 70 的 impact 和 vout 来自 agent 脚本的IMU触发和接触模型，不是服务裁判认证。"
+     },
+     {
+      "t": 2.8,
+      "log_step": 71,
+      "text_zh": "观察：log step 71 的机器人服务状态为 episode=6、control_steps=280、done=true、reason=failed，但 stages_reached、score、outcome 均未返回值；agent 在 log step 73 自述“1 counted header”，其数值依据是脚本估算，不能直接作为节点达成证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "视频约 2.12 s，机器人头壳与下落足球发生一次击打/反弹接触；候选名称“击打”，现有接触方式无对应条目。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚支承草地，腰腿运动配合迎球，整局保持站立。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第2次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第3次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第4次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第5次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第6次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第7次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第8次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第9次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0–2.80 s 仅见视频约 2.12 s 的一次头球接触，其后球向画面右侧飞离头部，落向发球机，未出现第10次头颠球；成功参考视频中的反复回到头顶、再次弹起的轨迹在本局未出现。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": null,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 2.12,
+   "log_step": 70,
+   "where": "操作中",
+   "evidence_zh": "推断：视频约 2.12 s 机器人首次迎球接触时，球被弹向画面右侧且反弹速度不足，未形成第1次合格头颠球；视频 2.16–2.80 s 没有修复或再次触球，末帧球已降至发球机上沿。log step 71 确认最后第6局在 control_steps=280 失败；没有将其他重置局的结果计入本视频。"
+  },
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.12,
+    "log_step": 70,
+    "evidence_zh": "推断：视频约 2.12 s 的球头接触早于 agent 脚本在 log step 70 中按本局控制时钟报告的 impact=2.20 s 及重规划目标2.234 s，顶球动作没有在实际来球时刻形成所需向上击打，球仅作较低的侧向反弹后飞离。视频 2.16–2.80 s 可见偏出过程，机器人保持站立。服务 control_dt=0.01 s（log step 4），最终280步对应视频 2.80 s 的终止处已核对；该映射仅用于本局控制时钟，未换算 agent 工作时间。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 2.12,
+    "log_step": 60,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：agent 在 log step 60 重写的控制器将 HIPP=(2,8) 当作左右髋俯仰；但服务给出的机器人关节顺序（log step 5）及 agent 自己提取的表格（log step 59）显示索引2、8实际是髋偏航，髋俯仰为0、6。log step 66–68 的最终补丁没有修正该映射，log step 69 用此脚本运行最后一局，说明所设计的腰腿上顶动作没有被正确分配到髋俯仰关节；同时 log step 70 的首次触球检测晚于视频约 2.12 s 的真实接触。这些控制实现问题支持未能形成合格击球的归因，具体贡献无法分离。"
+   }
+  ],
+  "gap_zh": "无状态日志；最终局服务在 log step 71 未提供裁判阶段数、具体犯规原因或触前/触后速率，headers 原生指标因此为null。第1次不合格由视频中的来球和较慢侧向反弹推断，不能精确核实0.05秒接触时长及0.95速率比；scratch中的球轨迹拟合仅作辅助，其相机参数来自agent代码，未独立标定。agent 在 log step 73 所称“1 counted header”及4.28 m/s是自算模型值，未作为裁判事实；最终具体终止规则也不据此臆定。"
+ },
+ "summary_zh": "评分视频对应最后第6局：机器人保持站立，视频约 2.12 s 发生一次头球接触，随后足球侧偏并在视频 2.80 s 降至发球机轮组上沿，没有连续回到头顶。首次触后的速率不足由画面推断，十个合格头颠球节点均未达成，断点为第1次头颠球；日志显示最终控制器的髋关节映射错误且触球检测滞后。没有状态日志或最终裁判计数，首次合格性及具体终止规则缺少精确读数，agent自述的一次计数不能替代裁判记录。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "视频时钟与 280 步=2.80 s 的映射、十个节点均未达成、断点为第1次头颠球均与帧一致；视频约 2.12 s 仅一次头球接触，其后球偏向右侧、升高有限。关节映射（服务关节表中索引2、8为 hip_yaw）与根因证据成立。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": "2026-10-31T00:52:04Z",
+  "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-juggling-head-i00-standard-realtime--m2vfhvk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--m2vfhvk/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "92958e1bd9fcb7d618f29ddfce794c32ce6e563f77bee4482c2adcf92a5c0e4f",
+   "video_sha256": "9f16855d8297a8093bed8ffa053f856418eb85b3f34055964934305e25580710",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--sq6sm29.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--sq6sm29.json
new file mode 100644
index 0000000000000000000000000000000000000000..ccf4e98b303fdcb01ed67d9fd0bb381c33a0b76c
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--sq6sm29.json
@@ -0,0 +1,324 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--sq6sm29",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 323,
+   "sim_steps": 3418,
+   "calls": 4722,
+   "rows": 72300,
+   "resets": 10,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 1574.0,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 34.151,
+   "max_lag_s": 0.0084,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 302,
+   "late_steps": 360,
+   "requests_refused": 10,
+   "request_busy_s": 7.437,
+   "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-juggling-head-i00-standard-realtime--sq6sm29/replay.mp4",
+  "duration_s": 3.24,
+  "fps": 25.0,
+  "frames": 81,
+  "sha256": "12262a6bc30210a9ea7c0647775b5e24c6e2bca3243e97e419dc4f185559e186"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 2.08–2.12 s 足球在机器人头顶附近由下降转为上升，视频 2.20 s 已明显离头，随后继续升至视频约 2.52 s 的高点；log step 76 中最后一局的服务裁判结果为 stages_reached=1、stages_total=10，确认这次反弹通过合格头颠球验收。达成时间按画面估计为视频约 2.20 s。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.08–2.16 s，机器人头壳与下落足球相遇并将球弹起。候选接触名为“击打”；现有接触方式没有对应条目，依 S16 使用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.92–2.20 s，机器人双脚支撑草地，腿部屈伸并配合躯干调整完成首次顶球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.96,
+      "log_step": 76,
+      "text_zh": "观察：视频 2.76–3.00 s 足球再次下落，机器人调整躯干和头部位置，但球经过头前侧后继续下降，视频 3.04–3.20 s 未出现第二次上升而是落向脚前；log step 76 中该局服务裁判最终只记录 stages_reached=1/10，并以 the ball touched the ground 结束。第2次合格头颠球未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.76–3.20 s，机器人双脚支撑草地，腿部屈伸、躯干摆动以尝试对准第二次来球。画面没有第二次成功击起足球的接触证据，故仅记录可确认的足地支撑；不能把头部与球的图像重叠当成已发生击打。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第3次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第4次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第5次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第6次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第7次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第8次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第9次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.2,
+      "log_step": 76,
+      "text_zh": "观察：视频 0.00–3.20 s 只见一次头顶反弹；第二次来球在视频 2.92–3.20 s 持续落下，未继续颠球。log step 76 中最后一局服务裁判记录 stages_reached=1、stages_total=10 且 done=True。推断：顺序计数仅达第1次，第10次合格头颠球未达成，也未进入该次尝试。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 1,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_2",
+   "t": 2.96,
+   "log_step": 76,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 2.88–3.08 s，机器人在第二次来球下落时摆动躯干，但未将球再次颠起；视频 3.20 s 球已落到脚前近地处。log step 76 记录这就是重置余额为零的最后一局，服务裁判以足球触地终止，只完成 1/10 次。推断：首次已计数，首次未修复的失败步骤为第2次头颠球；断点取视频约 2.96 s 的来球错过时刻。"
+  },
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.96,
+    "log_step": 76,
+    "evidence_zh": "观察：视频 2.88–3.00 s 足球下落到头部附近时，机器人仍在调整躯干；视频 3.04、3.08、3.12、3.16、3.20 s 球连续下降至脚前，没有第二次颠起。推断：机器人未及时使头部与运动中的来球形成有效击球，属于动态目标的跟踪与接触时机失败。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "反馈控制",
+    "t": 2.96,
+    "log_step": 78,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 77 中最后一局控制器诊断显示，第二次击球目标的腰部 pitch/roll 从仿真 2.60 s 的 -0.339/-0.069 改至仿真 2.83 s 的 -0.109/0.166；log step 78 中 agent 脚本依据实测关节计算的头部中心从仿真 2.89 s 的 [-0.089,-0.017,1.185] 变至仿真 2.99 s 的 [-0.003,-0.113,1.204]，显示来球临近时仍在明显横向调整。视频 2.88–3.08 s 也可见机器人调整姿态而足球错过后继续下降；这些证据支持末段反馈修正未使头部及时稳定在有效击球位置。上述诊断来自该局 a11，并非此前重置试验。"
+   }
+  ],
+  "gap_zh": "没有状态日志；固定视角的 25 fps 画面不能独立测量 0.05 s 接触时长、0.95 速率比或排除第二次来球的瞬间轻擦，合格计数以 log step 76 的本局服务裁判结果核对。agent 在 log step 79、81 将失败归因于单相机深度偏差和过晚修正，但缺少独立球位真值，具体深度误差数值待核实，不另标感知根因。原生 headers=1 由 log step 76 的裁判顺序阶段数 1/10 对应得到；运行汇总 reward 未单列 headers。"
+ },
+ "summary_zh": "评分采用十次重置后的最后一局：机器人在视频约 2.20 s 完成第1次合格头颠球，最终为 1/10。第二次来球在视频约 2.96 s 到达头部附近时，机器人仍在调整姿态，未将球再次颠起，随后足球触地结束；本局控制诊断支持末段反馈修正不及时。没有状态日志，毫秒级接触验收依赖本局服务裁判记录，agent 所称具体深度估计误差尚无独立真值核实。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "标签与视频、log 一致：视频约 2.2 s 第1次头颠球，约 2.6–3.2 s 第二次来球落在机器人身前越过头部后触地，log step 76 服务裁判 stages_reached=1/10、球触地；断点、现象与根因（来自本局 a11 诊断）有证据支持，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": "2026-10-31T00:50:34Z",
+  "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-juggling-head-i00-standard-realtime--sq6sm29/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--sq6sm29/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "be44a4cc99ac479b036b852b8728a7dfa4fc5194c66dbaa809dcc25a87adf701",
+   "video_sha256": "12262a6bc30210a9ea7c0647775b5e24c6e2bca3243e97e419dc4f185559e186",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--uukyuqj.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--uukyuqj.json
new file mode 100644
index 0000000000000000000000000000000000000000..b744034a29a48c4c03c6655e4d717e039b0d5783
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--uukyuqj.json
@@ -0,0 +1,326 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--uukyuqj",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 1853,
+   "calls": 107,
+   "rows": 5550,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2307.2,
+   "video_rendered": 1,
+   "first_success": 0,
+   "first_reason_code": 2,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 18.507,
+   "max_lag_s": 0.0139,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 0,
+   "late_steps": 0,
+   "requests_refused": 22,
+   "request_busy_s": 0.428,
+   "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-juggling-head-i00-standard-realtime--uukyuqj/replay.mp4",
+  "duration_s": 3.16,
+  "fps": 25.0,
+  "frames": 79,
+  "sha256": "69805e20f263c257d4df396a71dba9c96d4a42aab2751191fa197b2beec3e885"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 2.2,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.08–2.12 s，足球在机器人头顶由下落转为上升；视频 2.20–2.48 s 已明显离头并升高超过约一个球直径。log step 191 的最终在线评分局（episode 6）服务输出 stages_reached=1，终止原因为足球触地；该计数支持第1次通过精细接触与速率验收，达成时间取视频约 2.20 s。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频 2.08–2.16 s，机器人头部将下落足球击起；候选接触名“击打”，现有接触方式没有对应条目，依S16填其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 1.84–2.24 s，机器人双脚支承草地，通过屈膝及伸腿带动头部完成击球。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.88,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.56–2.88 s，机器人再次屈膝、伸腿，足球回落至头部高度；视频 2.92–3.12 s 足球继续下降至脚边，未出现第二次向上飞行。log step 191 最终在线局的 stages_reached=1，终止原因为足球触地，第2次未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 2.56–2.92 s，机器人双脚在草地上支承，屈膝后伸腿尝试第二次头颠球；球经过头部附近后继续下落，画面不能确认是否有短暂擦头，故不把头球接触记为已发生。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第3次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第4次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第5次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第6次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第7次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第8次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第9次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.12,
+      "log_step": 191,
+      "text_zh": "观察：视频 2.12–3.12 s 只出现一次头顶击起，随后足球从头部附近落到脚边，未开始第10次头颠球；log step 191 最终在线局服务报告 stages_reached=1、足球触地终止。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 1,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_2",
+   "t": 2.88,
+   "log_step": 191,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 2.56–2.88 s，机器人再次屈伸膝准备击球，但回落足球经过头部高度后没有被击起，视频 2.92–3.12 s 继续落至脚边；log step 191 明确是最终 episode 6，服务报告仅1阶段完成、足球触地终止。因此未修复的失败步骤是第2次头颠球。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 2.88,
+    "log_step": 191,
+    "evidence_zh": "观察：视频 2.56–2.88 s，机器人做出第二轮屈膝、伸腿，足球回到头部附近时未形成向上的击球，视频 2.92–3.12 s 连续下降到脚边。推断：机器人头部的运动未能配合下落足球完成第二次击打。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 2.88,
+    "log_step": 189,
+    "source_zh": "日志",
+    "evidence_zh": "观察：log step 157 的控制代码按预设接触时刻生成屈伸膝动作，log step 159 给出固定屈伸曲线；log step 189 将最终重复周期设为0.73秒并生成整段动作，log step 191 提交后由服务报告仅1次完成。视频 2.56–3.12 s 显示第二轮屈伸没有将回落球再次击起。推断：预生成的头部击球运动未能在第二球回落时建立有效击打，归为控制；缺少头部位置及接触状态记录，不细分轨迹跟踪或参数问题。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25帧/秒的场地视角不能精确测量每次触球的毫秒级时长及离球速率比，第1次合格与最终计数由log step 191 的在线裁判结果核对。视频 2.84–2.92 s 球与头部投影接近，不能确认是否短暂擦头；agent 在log step 199 自述头部偏低约3厘米，未获独立状态测量证实，未将该数值作为事实。",
+  "unmet": {
+   "headers_completed_1": true,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  }
+ },
+ "summary_zh": "最终评分局为log step 191 的episode 6，机器人在视频约 2.12 s 将足球头顶击起，约视频 2.20 s 达到第1次合格头颠球，最终完成1/10。视频约 2.88 s 第二次回落未被再次击起，足球随后落至脚边；预设屈伸动作未能配合球的回落，现象为动态时机，根因保留为控制。无状态日志，第二次是否短暂擦头及具体位置偏差无法精确核实。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "第1次头颠球约视频2.2 s达成、第2次回落未被击起，帧与log step 191/193一致；断点、现象（动态时机）与根因（控制）有证据支持，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": "2026-10-31T00:50:07Z",
+  "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-juggling-head-i00-standard-realtime--uukyuqj/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--uukyuqj/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "198ef3d70ff3d6319254249916adf9409f04e69f21af31a7ab4fa78cba40a577",
+   "video_sha256": "69805e20f263c257d4df396a71dba9c96d4a42aab2751191fa197b2beec3e885",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--wtb7f7s.json b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--wtb7f7s.json
new file mode 100644
index 0000000000000000000000000000000000000000..a9229c558ae57dd96b5bfe7b5208631e1b33881f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/juggling_head/trajectories/embodied-olympics-fun-juggling-head-i00-standard-realtime--wtb7f7s.json
@@ -0,0 +1,330 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-juggling-head-i00-standard-realtime--wtb7f7s",
+ "taskKey": "embodied-olympics-fun/juggling_head",
+ "dag_sha256": "5722cb99791490ed645d86f106e5e23c0dc047ed2499de490059b8e27ac55eb6",
+ "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": 302,
+   "sim_steps": 302,
+   "calls": 37,
+   "rows": 0,
+   "resets": 0,
+   "reset_budget": 10,
+   "sim_startups": 1,
+   "elapsed_s": 230.1,
+   "video_rendered": 1,
+   "realtime": 1,
+   "slowdown": 1.0,
+   "clock_s": 3.015,
+   "max_lag_s": 0.0013,
+   "stalls": 0,
+   "stalled_s": 0.0,
+   "stalled_share": 0.0,
+   "held_steps": 302,
+   "late_steps": 0,
+   "requests_refused": 0,
+   "request_busy_s": 0.257,
+   "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-juggling-head-i00-standard-realtime--wtb7f7s/replay.mp4",
+  "duration_s": 3.04,
+  "fps": 25.0,
+  "frames": 76,
+  "sha256": "24a9b3cbcb4e0987ae9f74164bbd7bb2bf1c4ed4f8c27132dfcd27b07598ab37"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 10,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "headers_completed_1": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 2.12,
+      "log_step": 15,
+      "text_zh": "观察：视频 2.04–2.16 s 足球落到机器人头顶后向上反弹，视频 2.40–3.00 s 球偏向画面左侧并下落，机器人一直保持站姿，没有主动蹲起、顶球或追球。log step 15 的在线基准服务返回 rows=0、control_steps=302、stages_reached=0/10、outcome=\"the ball touched the ground\"；这次被动反弹未被裁判计为第1次合格头颠球。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "其他",
+      "note_zh": "观察：视频约 2.1 s 足球与机器人头壳碰撞后反弹；候选接触名“击打”，实际为静止头壳上的被动反弹，没有主动顶球，不表示本节点达成。"
+     }
+    ]
+   },
+   "headers_completed_2": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第2次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_3": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第3次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_4": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第4次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_5": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第5次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_6": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第6次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_7": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第7次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_8": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第8次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_9": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第9次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   },
+   "headers_completed_10": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 3.0,
+      "log_step": 15,
+      "text_zh": "观察：视频 0–3.00 s 只出现一次球头碰撞后的反弹，之后足球偏离头顶并落地；log step 15 的在线基准服务报告 stages_reached=0、stages_total=10。推断：第10次合格头颠球及其计数前置均未达成，视频中也没有对本次计数开展后续动作。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "headers",
+   "value": 0,
+   "unit": "count",
+   "threshold": 10,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "headers_completed_1",
+   "t": 0.0,
+   "log_step": 15,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 0–3.00 s 机器人保持初始站姿，没有主动颠球动作。log step 15 中 agent 仅调用 get_obs(seconds=4.0) 进行校准观察；在线基准服务返回 rows=0、planned_steps=0、stages_reached=0，足球触地后本局已结束。run.json 的评分记录为 resets=0、rows=0、held_steps=302；后续本地仿真调参没有成为在线局的动作。推断：评分局从未启动第1次主动头颠球，断点锚定视频 0 s。"
+  },
+  "unmet": {
+   "headers_completed_1": false,
+   "headers_completed_2": false,
+   "headers_completed_3": false,
+   "headers_completed_4": false,
+   "headers_completed_5": false,
+   "headers_completed_6": false,
+   "headers_completed_7": false,
+   "headers_completed_8": false,
+   "headers_completed_9": false,
+   "headers_completed_10": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0.0,
+    "log_step": 15,
+    "evidence_zh": "观察：视频 0–3.00 s 机器人始终保持站姿，视频约 2.1 s 仅有来球在头顶被动反弹；log step 15 的服务记录 rows=0、planned_steps=0，且评分记录中全部302个控制步为 held_steps，没有提交动作。推断：该交付是未开始主动头颠球的站立基线，不能把被动碰球视为已启动的击球控制。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "认知",
+    "item": "推理/规划",
+    "log_step": 15,
+    "source_zh": "日志",
+    "alt_feasible": "已验证有",
+    "evidence_zh": "观察：log step 2 读取的 rcb_client 文档第7–11行写明，首次 submit() 或 get_obs(seconds>0) 会启动回合时钟，未排入后续动作时保持最后目标；log step 3 调用 get_obs(seconds=0.0) 后服务仍为 control_steps=0、running=false、planned_steps=0。log step 15 的代码以“Episode 1 calibration watch”为目的调用 get_obs(seconds=4.0)，没有提交动作，服务返回 rows=0、planned_steps=0、control_steps=302、done=true、reason=\"failed\"、outcome=\"the ball touched the ground\"、stages_reached=0；评分记录为 held_steps=302、rows=0、resets=0。视频 0–3.00 s 机器人保持站姿，视频约2.1 s 只有头顶被动反弹。推断：agent 在动作计划尚未排入时将评分局用于被动标定，先启动会持续运行的回合再准备主动控制，造成该评分局未尝试主动头颠球便触地结束，属于跨阶段策略选择错误。log step 3 已验证可用零时长观测保留暂停状态，作为避免提前启动的替代；这不证明完整颠球控制器已可行。",
+    "note_zh": "log step 15 返回 resets_left=10，说明这次失败后仍可重置；此归因只解释实际评分局的被动启动，不把标定视为耗尽全部机会，也不把后来未重置、未提交或停止本身另列为根因。"
+   }
+  ],
+  "gap_zh": "观察：本作业没有状态日志，在线服务只给出零阶段计数和足球触地的终止原因，没有逐次接触时长、升高量及速度比诊断，无法确定首次被动反弹未计数的具体阈值项。"
+ },
+ "summary_zh": "评分局没有提交动作，机器人保持站姿，十个头颠球节点均未达成；视频约2.1 s 足球在头顶被动反弹后偏离并触地，断点为第1次头颠球尚未主动启动，现象为没尝试。由 log step 2、3、15 的接口规则、调用顺序和服务反馈推断，agent 在未排入动作时用正时长观测启动评分局做被动标定，根因为认知·推理/规划；失败后仍有10次重置机会，不能说全部评分机会已耗尽。根因包含策略推断，故置信度由9降至8；首次被动反弹具体未过哪项阈值仍缺少诊断。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "WHERE 标签（十个节点全 false、断点 headers_completed_1 / 首步前 / 没尝试、时钟与证据）与视频和服务读数一致，无误。唯一问题：根因层留空，但日志 step 15 的代码本身（非自述）显示 agent 在没有任何控制器的情况下，主动用 get_obs(seconds=4.0) 启动并耗掉了评分局（rcb_client 文档与 spec 写明 get_obs(seconds>0) 即启动回合时钟），这是有证据的跨阶段策略选择，应补根因（规划），而不是留空。",
+    "n_issues": 1,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "十个节点全 false、断点 headers_completed_1 / 首步前 / 没尝试、被动反弹的 contact_actual 与视频和服务读数一致；第1轮提出的根因（log step 15 用 get_obs(seconds=4.0) 启动评分局做被动标定）已补入且有 step 2/3/15 与 run.json 字段支持。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": "2026-10-31T00:51:45Z",
+  "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-juggling-head-i00-standard-realtime--wtb7f7s/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--wtb7f7s/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--wtb7f7s/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-juggling-head-i00-standard-realtime--wtb7f7s/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "38ce84484261ab58c5971220f8a2e1724536e2e6ea91af792c282420b3a956eb",
+   "video_sha256": "24a9b3cbcb4e0987ae9f74164bbd7bb2bf1c4ed4f8c27132dfcd27b07598ab37",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--azahkai.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--azahkai.json
new file mode 100644
index 0000000000000000000000000000000000000000..b5ec43c759ca0adf94a9539d3be887586fc8280a
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--azahkai.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-privileged--azahkai",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1779,
+   "sim_steps": 1779,
+   "horizon": 3420,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 9.11,
+   "bad_trajectory": 0,
+   "metric_distance_m": 50.0,
+   "metric_reaction_s": 0.28,
+   "metric_time_s": 14.048,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 196,
+   "agent_resets": 0,
+   "agent_replays": 7,
+   "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": 5.81,
+   "peak_processes": 12,
+   "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-sprint-i00-privileged--azahkai/replay.mp4",
+  "duration_s": 17.8,
+  "fps": 25.0,
+  "frames": 445,
+  "sha256": "6ea074a7b8905e782d83805b95a60f6d4c75e6dc127d3cd23810eb8c4bc6a8df"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      17.79,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.76,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00、2.00、3.60–3.72 s 机器人留在左侧起点；视频 3.72 s 发令灯仍呈黄色，视频 3.76 s 变绿，视频 4.00–4.40 s 机器人开始迈步向右前进。"
+     },
+     {
+      "t": 17.76,
+      "log_step": null,
+      "text_zh": "观察：视频 5.00、6.00、8.00、10.00、12.00、14.00、16.00 s 机器人逐渐沿红色直道中间跑道向右行进，双腿交替着地；逐帧检查视频 16.80–17.76 s，机器人保持跑动并到达两根白色终点柱之间的终点线附近，未见倒地。"
+     },
+     {
+      "t": 17.79,
+      "log_step": 93,
+      "text_zh": "推断：log step 93 对最终交付文件的两次回放均成功且末态哈希相同，裁判在仿真 17.789 s 锁存 finish；log step 103 再次确认同一文件执行 1779 控制步成功。log step 8、34 记录控制步长 0.01 s，log step 40 的渲染代码从仿真零点每四控制步取帧、以 25 fps 编码，故视频时间对应仿真时间；1779×0.01=17.79 s 与视频总长 17.80 s 相符，枪响仿真 3.74 s 也已由视频 3.72 s 黄灯、3.76 s 绿灯核对。完赛记为视频约 17.79 s；最后图像为视频 17.76 s，精确躯干越线由裁判记录确认。"
+     },
+     {
+      "t": 17.79,
+      "log_step": 103,
+      "text_zh": "观察：本次 run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2/2、fell=0，metric_distance_m=50.0、metric_reaction_s=0.28、metric_time_s=14.048；log step 103 的最终文件回放报告 start、finish 均已认可且 failed=null，与视频的起跑和到达终点顺序一致。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00 s 机器人双脚立在红色跑道上；视频 4.00–4.40 s 起步，视频 8.00、10.00 s 及 16.80–17.76 s 可见双腿交替迈步、脚与跑道地面接触，支撑机体向终点行进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": 50.0
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": 14.048
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.28
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待发令后沿中间跑道跑向终点，视频约 17.79 s 完成“跑完五十米”，最终节点 1/1。评分器确认合法起跑与冲线，反应时间 0.28 秒、枪响后完赛用时 14.048 秒，最终交付文件重复回放成功且末态一致。没有逐帧状态日志或独立参考录像；远景机体较小，最后图像为视频 17.76 s，精确躯干冲线和反应阈值由最终回放的裁判记录及已核对的控制步映射确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "成功运行，单节点 sprint_finished 在视频约 17.79 s 到达，与评分器字段（success=1、stages 2/2、fell=0）及视频 17.76 s 机器人到达右侧终点一致；接触标签（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": "2026-10-31T00:36:33Z",
+  "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-sprint-i00-privileged--azahkai/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-privileged--azahkai/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "3d834f83b9af3ec15ca8811fb3355b1098574da3d86b4dbfc25d7829f0c90385",
+   "video_sha256": "6ea074a7b8905e782d83805b95a60f6d4c75e6dc127d3cd23810eb8c4bc6a8df",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--ftntu7k.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--ftntu7k.json
new file mode 100644
index 0000000000000000000000000000000000000000..867fb1738b3fa67a290133227d38642d7e142a06
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--ftntu7k.json
@@ -0,0 +1,189 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-privileged--ftntu7k",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1974,
+   "sim_steps": 1974,
+   "horizon": 3420,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 18.83,
+   "bad_trajectory": 0,
+   "metric_distance_m": 50.0,
+   "metric_reaction_s": 0.35,
+   "metric_time_s": 15.998,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 5,
+   "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": 0.673,
+   "peak_processes": 8,
+   "peak_disk_gb": 0.75,
+   "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-sprint-i00-privileged--ftntu7k/replay.mp4",
+  "duration_s": 19.76,
+  "fps": 25.0,
+  "frames": 494,
+  "sha256": "448b75c2771a2ccd0e065915d00f398650a7cb010bfcb5fb3c8d9675de4bd825"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      19.72,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0、2.0、3.4、3.6 s 中机器人在左侧起跑线后站立；视频 3.8 s 发令灯已呈绿色，视频 4.2–4.8 s 机器人开始迈步并向右前进。"
+     },
+     {
+      "t": 12.0,
+      "log_step": null,
+      "text_zh": "观察：视频 5.0–19.0 s 的逐秒跑道裁剪帧显示机器人双腿交替迈步，由左向右沿红色直道中间跑道前进，机体保持直立；视频 12.0 s 已行进到跑道中段。"
+     },
+     {
+      "t": 19.72,
+      "log_step": null,
+      "text_zh": "观察：视频 18.8、19.0、19.2、19.4、19.6 s 中机器人持续接近右侧两根白色终点柱间的虚线；视频 19.60、19.64、19.68、19.72 s 的连续末帧显示机体前进到终点虚线处，未见倒地。成功参考视频 17.76 s 的终点构图与此相符，参考仅用于识别终点外观。"
+     },
+     {
+      "t": null,
+      "log_step": 6,
+      "text_zh": "观察：log step 6 中 agent 的脚本保存本次轨迹后，回放工具返回 success=true、failed=null、stages=[start, finish]、executed_rows=1974；log step 7 再次回放成功且末态哈希相同。本次 inputs/run.json 的评分器字段为 replay_success=1、deterministic=1、stages_reached=2、stages_total=2、metric_distance_m=50.0、metric_reaction_s=0.35、metric_time_s=15.998。"
+     },
+     {
+      "t": 19.72,
+      "log_step": 6,
+      "text_zh": "推断：末段视频中机器人抵达终点的位置与本次评分器认可的合法起跑及冲线结果一致，故“跑完五十米”在视频约 19.7 s 达成并锁存；以已检查的末帧视频 19.72 s 作为导航锚点，时间精度约 0.1 s。远景像素不能独立分辨躯干碰撞网格前缘及反应阈值，精细验收依据本次裁判记录。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.2–4.8 s 的起跑裁剪帧、视频 5.0–19.0 s 的行进帧及视频 19.60–19.72 s 的末段帧显示，机器人以双脚交替接触红色跑道地面并支承机体，双腿迈步使躯干向终点前进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": 50.0
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": 15.998
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.35
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待发令灯变绿后沿中间跑道跑向右侧终点，在视频约 19.7 s 完成“跑完五十米”，最终完成 1/1 个节点。评分器认可合法起跑和冲线，记录距离 50.0 米、反应时间 0.35 秒、枪响后用时 15.998 秒，交付轨迹的两次回放均成功。没有逐帧状态日志，远景无法独立核实精确躯干冲线瞬间及反应阈值，节点时刻为末段画面估计，精细验收由本次裁判记录佐证。",
+ "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 sprint_finished 成功，视频末帧 19.72 s 机器人已到右侧终点线，起跑约 3.8 s，与评分器 time_s=15.998 相符；contact_actual 腿/躯干·支撑合理，无失败层，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": "2026-10-31T00:35:42Z",
+  "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-sprint-i00-privileged--ftntu7k/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-privileged--ftntu7k/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "7c722cf6e1bd01cdb5ec0c361798b2a7ead2d55119bbe2c58e028c12db22ddf3",
+   "video_sha256": "448b75c2771a2ccd0e065915d00f398650a7cb010bfcb5fb3c8d9675de4bd825",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--hni3v7q.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--hni3v7q.json
new file mode 100644
index 0000000000000000000000000000000000000000..c72b8208ce9810a15b4a748dd969a9fea9e5be00
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--hni3v7q.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-privileged--hni3v7q",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1968,
+   "sim_steps": 1968,
+   "horizon": 3420,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 10.12,
+   "bad_trajectory": 0,
+   "metric_distance_m": 50.0,
+   "metric_reaction_s": 0.28,
+   "metric_time_s": 15.932,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 3,
+   "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": 0.641,
+   "peak_processes": 7,
+   "peak_disk_gb": 0.244,
+   "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-sprint-i00-privileged--hni3v7q/replay.mp4",
+  "duration_s": 19.72,
+  "fps": 25.0,
+  "frames": 493,
+  "sha256": "ea805cf835b6bd3a04036251f248ac9ec912cea3ea887a5cb2cf9e8cb5d3168a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      19.68,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–4.00 s，机器人在画面左侧起跑线附近保持站立；视频 3.64 s 起跑灯尚未变绿，视频 3.88 s 已呈绿色。"
+     },
+     {
+      "t": 8.24,
+      "log_step": null,
+      "text_zh": "观察：视频 4.48–19.68 s，机器人从左向右沿红色直道前进；视频 8.00–8.40 s 的加密帧可见双腿交替迈步、脚落在跑道上承重。全程按视频每秒检查，未见机器人倒地。"
+     },
+     {
+      "t": 19.68,
+      "log_step": null,
+      "text_zh": "观察：视频 18.72–19.68 s 的加密帧显示机器人持续接近两根白色终点柱之间的终点线，视频 19.68 s 末帧机体到达终点线处；终点位置与参考成功录像的终态一致。"
+     },
+     {
+      "t": 19.68,
+      "log_step": null,
+      "text_zh": "推断：结合视频 19.68 s 的终点画面及 inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2/2、metric_distance_m=50.0，可确认合法起跑并完成躯干冲线，将节点首次达成标在视频约 19.68 s。评分器记录枪响后完赛用时 15.932 秒、反应时间 0.28 秒，均满足验收；这些成绩不是视频时间。远景不能独立分辨躯干前缘的精确越线瞬间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.48–19.68 s，机器人用双腿沿红色跑道前进；视频 8.00–8.40 s 可见双脚交替落地支撑身体并迈步。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": 50.0
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": 15.932
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.28
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待起跑灯变绿后沿直道前进，在视频约 19.68 s 到达终点，完成唯一节点“跑完五十米”（1/1）。评分器确认合法起跑及冲线，反应时间为 0.28 秒，枪响后完赛用时为 15.932 秒，回放成功且确定性一致。无状态日志，远景分辨率不足以独立核实精确躯干越线时刻及起跑、跑道边界，相关验收结合评分器记录判断。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点 sprint_finished 在视频约 19.68 s 到达，与终点画面、评分器字段（success=1、stages 2/2、50.0 m、15.932 s）一致；接触标签为腿/躯干·支撑，合理；成功运行无失败层，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": "2026-10-31T00:39:19Z",
+  "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-sprint-i00-privileged--hni3v7q/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-privileged--hni3v7q/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c9ab1da35a1894cf2da8148e240832c93abed6565be86315d2ebab61b4b1aa2e",
+   "video_sha256": "ea805cf835b6bd3a04036251f248ac9ec912cea3ea887a5cb2cf9e8cb5d3168a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--pp2ccsj.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--pp2ccsj.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d8b1ed71a72c8b16d4c71809e63514aea08f800
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--pp2ccsj.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-privileged--pp2ccsj",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1569,
+   "sim_steps": 1569,
+   "horizon": 3420,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 14.43,
+   "bad_trajectory": 0,
+   "metric_distance_m": 50.0,
+   "metric_reaction_s": 0.25,
+   "metric_time_s": 11.946,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 37,
+   "agent_resets": 1198,
+   "agent_replays": 14,
+   "agent_cost_self_reported": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 2.196,
+   "peak_processes": 17,
+   "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-sprint-i00-privileged--pp2ccsj/replay.mp4",
+  "duration_s": 15.72,
+  "fps": 25.0,
+  "frames": 393,
+  "sha256": "8851b77a5fa7792b2f42a5f6a6a77a5581dc8a7985ba5b3d40958bca75b9087d"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      15.68,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.2,
+      "log_step": null,
+      "text_zh": "观察：视频 3.6 s 机器人仍在左侧起点，视频 3.8 s 起跑灯已变绿；视频 4.2–5.6 s 机器人开始向右迈步，随后视频 6.0–14.0 s 沿红色直道的中间跑道持续前进，双腿交替落脚承重。"
+     },
+     {
+      "t": 15.68,
+      "log_step": null,
+      "text_zh": "观察：视频 14.72–15.68 s 的密集帧显示机器人继续向右跑向两根白色终点柱之间，视频 15.68 s 末帧躯干已到终点线附近；远景无法分辨躯干碰撞网格前缘，完成时刻取末帧附近约视频 15.68 s，视觉误差约 0.2 s。"
+     },
+     {
+      "t": 15.68,
+      "log_step": 155,
+      "text_zh": "观察：inputs/run.json 的评分器 reward 记录 success=1、replay_success=1、deterministic=1、stages_reached=2/2、metric_distance_m=50.0、metric_reaction_s=0.25、metric_time_s=11.946；log step 155 的最终交付核验输出也记录 1569 行动作、相同成绩及两次回放末态一致。"
+     },
+     {
+      "t": 15.68,
+      "log_step": null,
+      "text_zh": "推断：本次视频中的起跑、全程前进及末尾到达终点，与评分器认可的合法起跑和冲线一致，故“跑完五十米”在视频约 15.68 s 达成并锁存至结束；枪响后的 11.946 秒是原生成绩，不是视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.2–15.68 s，机器人双脚交替落在红色跑道上，腿部承重并推动躯干向右跑至终点。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": 50.0
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": 11.946
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.25
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待发令灯变绿后沿中间跑道前进，在视频约 15.68 s 到达终点，唯一节点“跑完五十米”完成，最终为 1/1。评分器确认合法完赛：距离 50.0 米、反应时间 0.250 秒、枪响后用时 11.946 秒，最终交付的两次回放核验一致。无逐帧状态日志，远景不能精确辨认躯干前缘及起跑阈值，冲线视频时刻为末帧附近的视觉估计，精细合法性依据评分器记录。",
+ "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“跑完五十米”视频约15.68 s到达终点，与评分器success=1、距离50 m一致；接触标签（腿/躯干·支撑）与时钟均正确，成功运行无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": "2026-10-31T00:43:34Z",
+  "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-sprint-i00-privileged--pp2ccsj/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-privileged--pp2ccsj/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "cd89a67f25f6d07122677ed71c04975db0bbe7cb9a4f38414337729286c33592",
+   "video_sha256": "8851b77a5fa7792b2f42a5f6a6a77a5581dc8a7985ba5b3d40958bca75b9087d",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--ppsyihb.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--ppsyihb.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b05b8296f91f5f1301b654ef1620d15e05cffd2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--ppsyihb.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-privileged--ppsyihb",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1789,
+   "sim_steps": 1789,
+   "horizon": 3420,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 13.29,
+   "bad_trajectory": 0,
+   "metric_distance_m": 50.0,
+   "metric_reaction_s": 0.38,
+   "metric_time_s": 14.142,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 43,
+   "agent_resets": 0,
+   "agent_replays": 4,
+   "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": 1.393,
+   "peak_processes": 10,
+   "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-sprint-i00-privileged--ppsyihb/replay.mp4",
+  "duration_s": 17.92,
+  "fps": 25.0,
+  "frames": 448,
+  "sha256": "5aac0a2ee1e76005bbdf09ddc438e4756b96179b06afba69d18ac2054e18ee24"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      17.88,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–3.0 s 的逐秒全景显示机器人站在画面左侧起点；视频 3.52–4.80 s 的逐帧起点裁剪显示发令灯变绿后机器人开始迈步，随后沿红色直道向右前进。"
+     },
+     {
+      "t": 17.88,
+      "log_step": null,
+      "text_zh": "观察：视频 5.0–17.0 s 的逐秒全景中机器人持续沿中间跑道向右跑动；视频 16.80–17.88 s 逐帧终点裁剪中机器人接近并到达两根白色终点柱所标的终点线，视频 17.88 s 末帧机体仍直立。远景无法分辨躯干网格前缘的精确过线瞬间，完成锚点取视频约 17.9 s。"
+     },
+     {
+      "t": 17.88,
+      "log_step": 26,
+      "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 23 生成并回放交付轨迹，log step 26 对同一交付文件的带视频回放报告裁判 stages=[start,finish]、failed=null、distance_m=50.0、reaction_s=0.38、time_s=14.142。这里 time_s 指枪响后比赛用时，并非视频时刻。"
+     },
+     {
+      "t": 17.88,
+      "log_step": null,
+      "text_zh": "推断：本次视频末段到达终点的可见位置与参考成功视频 17.40–17.76 s 的终点视图相符，结合本次评分器认可合法起跑与冲线，判定跑完五十米事件在本次视频末尾约 17.9 s 达成并锁存。参考视频只用于辨认终点视图，不作为本次成绩证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 3.52–4.80 s 的起点裁剪及视频 16.80–17.88 s 的终点裁剪显示机器人双腿交替迈步、脚部依次落在红色跑道上，支撑身体并使躯干向终点前进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": 50.0
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": 14.142
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.38
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待发令后沿中间跑道持续跑向终点，在视频约 17.9 s 完成“跑完五十米”，最终节点为 1/1。评分器确认合法起跑及冲线，距离 50.0 米、反应时间 0.38 秒、枪响后用时 14.142 秒，交付轨迹成功且回放一致。无状态日志，远景无法独立核实躯干前缘、反应阈值和跑道边界的精细判定，相关验收由本次裁判记录补足，视频完成时刻为近似锚点。",
+ "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，唯一目标节点 sprint_finished 在视频约 17.9 s 达成，与评分器 stages 2/2、枪响约 3.5 s 加 14.14 s 用时一致；接触标注（腿/躯干 支撑）合理，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": "2026-10-31T00:36:38Z",
+  "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-sprint-i00-privileged--ppsyihb/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-privileged--ppsyihb/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e80cbb531b771c36711b799c6df13db90dd22b4d0af84e52be781cc9b5c85de1",
+   "video_sha256": "5aac0a2ee1e76005bbdf09ddc438e4756b96179b06afba69d18ac2054e18ee24",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--vvurey2.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--vvurey2.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f8b8079c09cb2c1be98f82685162fe6f8fcddd9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--vvurey2.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-privileged--vvurey2",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1747,
+   "sim_steps": 1747,
+   "horizon": 3420,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 8.91,
+   "bad_trajectory": 0,
+   "metric_distance_m": 50.0,
+   "metric_reaction_s": 0.25,
+   "metric_time_s": 13.719,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 50,
+   "agent_resets": 0,
+   "agent_replays": 4,
+   "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": 1.097,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.834,
+   "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-sprint-i00-privileged--vvurey2/replay.mp4",
+  "duration_s": 17.48,
+  "fps": 25.0,
+  "frames": 437,
+  "sha256": "a6d53f5e02e9967b58ca87e6d8a7eb19e08fc406c2bfe59279bdde336ae69f02"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      17.44,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 4.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–3.6 s 机器人站在左侧起点；视频 4.0–4.6 s 开始向右迈步，视频 5.0–16.0 s 持续沿红色直道前进，双腿交替落脚支撑身体。"
+     },
+     {
+      "t": 17.44,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频 16.4–17.44 s，机器人接近两根白色终点柱之间的斜向终点标线，末段身体降低、前倾，最后一帧到达终点线附近；同视角 oracle 视频 17.4–17.76 s 显示相同终点位置。远景无法分辨躯干碰撞网格前缘的精确越线瞬间。"
+     },
+     {
+      "t": 17.44,
+      "log_step": 142,
+      "text_zh": "观察：log step 140 调用基准回放器验证已保存的 trajectory.npz，log step 142 的两次回放输出均为 success=true、failed=null、stages=[start,finish]、steps=1747，末态哈希相同；inputs/run.json 的评分器字段也报告 replay_success=1、deterministic=1、distance_m=50.0、reaction_s=0.25、time_s=13.719。"
+     },
+     {
+      "t": 17.44,
+      "log_step": 142,
+      "text_zh": "推断：视频 17.44 s 的终点画面与 log step 142 所验证交付文件的五十米成功结果一致，评分器认可合法起跑与冲线，枪响后用时 13.719 s 小于 30.0 s，故跑完五十米节点已达成并锁存；将达成锚点置于约视频 17.4 s，具体越线时刻的不确定性约 0.1 s。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.0–16.8 s，G1 机器人双脚交替接触红色跑道，腿部承重并推动躯干向终点前进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": 50.0
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": 13.719
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.25
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人在起点等待后沿直道前进，于约视频 17.4 s 到达终点，唯一节点“跑完五十米”完成，最终为 1/1。已保存文件的两次基准回放（log step 142）与评分器成功结果一致，距离 50.0 米、反应时间 0.25 秒、枪响后用时 13.719 秒；末段身体降低不影响本次裁判认可的完赛。没有逐帧状态日志，远景不能精确辨认躯干前缘越线或起跑反应阈值，精细验收依据评分器与交付回放记录，节点时刻仅为视频近似锚点。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一节点“跑完五十米”达成、final=1、无失败，与视频末帧（17.44 s 机器人到达右侧终点线）和评分器字段（success=1、distance 50.0、time 13.719 s）一致；contact_actual 腿/躯干·支撑 符合实际。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": "2026-10-31T00:40:57Z",
+  "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-sprint-i00-privileged--vvurey2/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-privileged--vvurey2/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e41cd15cc68bbdc5f3eeec32cec243e437dc3f19d869d9c328debee096a3b92a",
+   "video_sha256": "a6d53f5e02e9967b58ca87e6d8a7eb19e08fc406c2bfe59279bdde336ae69f02",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--wkxgfj3.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--wkxgfj3.json
new file mode 100644
index 0000000000000000000000000000000000000000..b74070d759be2812014f96c5b73d3335c698159f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-privileged--wkxgfj3.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-privileged--wkxgfj3",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 1765,
+   "sim_steps": 1765,
+   "horizon": 3420,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 2,
+   "stages_total": 2,
+   "fell": 0,
+   "replay_s": 9.86,
+   "bad_trajectory": 0,
+   "metric_distance_m": 50.0,
+   "metric_reaction_s": 0.28,
+   "metric_time_s": 13.908,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 84,
+   "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": 0.0,
+   "peak_memory_gb": 1.484,
+   "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-sprint-i00-privileged--wkxgfj3/replay.mp4",
+  "duration_s": 17.68,
+  "fps": 25.0,
+  "frames": 442,
+  "sha256": "434337ecc7abd2da117a0e751197e3095b13a5293d9354c6dfc4170e3224ae28"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      17.6,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0–3.6 s 机器人在画面左侧起点站立，视频 3.8 s 发令灯已变绿；视频 4.2–5.0 s 机器人迈步向右加速，之后沿红色直道持续前进。"
+     },
+     {
+      "t": 17.6,
+      "log_step": null,
+      "text_zh": "观察：视频 16.60–17.64 s 的逐帧终点局部中，机器人继续交替迈腿，接近并到达两根白色终点柱之间的终点线，未见倒地；视频 17.60–17.64 s 机体已到冲线位置，节点时刻取视频约 17.6 s。参考成功录像的视频 17.28–17.76 s 呈现相同终点位置，仅用于核对画面含义。"
+     },
+     {
+      "t": 17.64,
+      "log_step": null,
+      "text_zh": "观察：本次评分器 reward 给出 success=1、replay_success=1、deterministic=1、stages_reached=2/2、metric_distance_m=50.0、metric_reaction_s=0.28、metric_time_s=13.908，确认合法起跑与冲线均获认可。远景不能独立量出躯干前缘或精细反应阈值，最终完成值结合本次评分器记录判定。"
+     },
+     {
+      "t": null,
+      "log_step": 71,
+      "text_zh": "观察：log step 71 的最终生成脚本先保持站立，再以 run 模式和横向位置、偏航反馈控制前进，并在裁判成功后保存轨迹；log step 78 检查交付文件含 1765 行有效动作。此前会话的其他速度测试不用于本次节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.4–5.0 s 及视频 16.60–17.64 s，机器人双腿交替迈步、双脚轮流落在红色跑道上，承重并推动躯干向终点前进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": 50.0
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": 13.908
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.28
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待发令后沿跑道跑到终点，视频约 17.6 s 完成唯一节点“跑完五十米”，最终进度为 1/1。评分器确认合法起跑与冲线，距离 50.0 米、枪响后用时 13.908 秒、反应时间 0.28 秒；无状态日志且录像为远景，精确躯干越线与反应阈值依评分器记录确认，节点视频时刻为近似值。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点 sprint_finished 在视频约 17.6 s 到达，与评分器 metric_time_s=13.908（发令约 3.8 s + 13.9 s ≈ 17.7 s）一致；帧中机器人在 17.6 s 已到终点柱处，final=true、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": "2026-10-31T00:37:39Z",
+  "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-sprint-i00-privileged--wkxgfj3/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-privileged--wkxgfj3/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "702e4d47036f9f32bfa277cd401f27c90693e503dd71bbd7454da3c7c1f2cf56",
+   "video_sha256": "434337ecc7abd2da117a0e751197e3095b13a5293d9354c6dfc4170e3224ae28",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--ak3dhcn.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--ak3dhcn.json
new file mode 100644
index 0000000000000000000000000000000000000000..930b3df4fbc0b2dc8c544ebd5b785c4a14162fe3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--ak3dhcn.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-standard--ak3dhcn",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "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": 2333,
+   "sim_steps": 2333,
+   "calls": 95,
+   "rows": 969,
+   "resets": 0,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 192.1,
+   "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": 0.158,
+   "peak_processes": 6,
+   "peak_disk_gb": 0.247,
+   "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-sprint-i00-standard--ak3dhcn/replay.mp4",
+  "duration_s": 23.36,
+  "fps": 25.0,
+  "frames": 584,
+  "sha256": "c42f533c97dbe014b43d45f0e0905757fb3b85ba10bbd8835328a8ecf203c86b"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      23.32,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 18,
+      "text_zh": "观察：视频 0.0–3.6 s 的机器人停留在左侧起跑线附近；视频 3.8 s 起跑灯转绿，视频 4.0–5.2 s 的连续画面显示机器人随后迈步向右前进。log step 18 的比赛服务状态为同一回合 episode=1、control_steps=380，尚未结束。"
+     },
+     {
+      "t": 8.0,
+      "log_step": null,
+      "text_zh": "观察：视频 8.0–9.0 s 的连续裁剪帧显示机器人两腿交替迈步、脚落在红色跑道上承重，躯干持续向右移动；视频 0.0–23.0 s 每秒采样显示其从左侧起点一直推进到右侧终点附近。"
+     },
+     {
+      "t": 23.32,
+      "log_step": 45,
+      "text_zh": "观察：视频 22.0–23.32 s 逐帧显示机器人沿中间跑道接近两根白色终点柱，视频 23.32 s 末帧躯干位于终点线处；该终点外观与参考成功录像的末段一致。log step 45 的比赛服务最终返回 done=True、reason=success、outcome=success、stages_reached=2、stages_total=2；inputs/run.json 的 reward 同时报 live_success=1、graded_by_live=1、resets=0。"
+     },
+     {
+      "t": 23.32,
+      "log_step": 46,
+      "text_zh": "推断：本次为未重置的单一实时比赛，裁判成功及两个阶段全部完成确认合法起跑和限时冲线，故“跑完五十米”在视频约 23.3 s 达到并锁存。log step 6 给出控制周期 0.01 s，log step 46 的 control_steps=2333 对应仿真 23.33 s，与视频 23.32 s 终点末帧相符；以该可核对的比赛控制步时钟辅助定位，未将 agent 工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.0–5.2 s、8.0–9.0 s 的机器人双脚交替落在红色跑道上支撑身体，双腿推动躯干向右侧终点行进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人在起跑灯转绿后迈步，沿红色直道到达右侧终点，“跑完五十米”于视频约 23.3 s 达到，最终完成 1/1 节点；本次比赛服务和评分记录均判成功，无失败断点。远景中的机体较小且没有状态日志，精确躯干前缘越线、反应时间及跑道边界依裁判成功记录确认；reward 未报告 distance_m、time_s、reaction_s，三项原生指标均保留 null，未采用参考运行或 agent 自述的数值。",
+ "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，sprint_finished 在视频约 23.3 s 到达，机器人在末帧位于右侧终点柱处；时钟（控制步 2333 对应 23.33 s）、contact_actual（腿/躯干 支撑）与无失败断点均与证据一致。",
+    "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": "2026-10-31T00:39:47Z",
+  "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-sprint-i00-standard--ak3dhcn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-standard--ak3dhcn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ed8414d4083686aa6bb87fc29945a5b10bff5cceee0381f5702d5e2865dd4efd",
+   "video_sha256": "c42f533c97dbe014b43d45f0e0905757fb3b85ba10bbd8835328a8ecf203c86b",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--exckruc.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--exckruc.json
new file mode 100644
index 0000000000000000000000000000000000000000..0a29ad671d5f0f20e65a3e7b9e3231cf1664526f
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--exckruc.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-standard--exckruc",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "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": 2174,
+   "sim_steps": 2174,
+   "calls": 109,
+   "rows": 1789,
+   "resets": 0,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 657.3,
+   "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": 0.166,
+   "peak_processes": 6,
+   "peak_disk_gb": 0.241,
+   "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-sprint-i00-standard--exckruc/replay.mp4",
+  "duration_s": 21.76,
+  "fps": 25.0,
+  "frames": 544,
+  "sha256": "249af4a1089cf4b1099dc00721fc8fff8717cefc345e12097cb307306c113a48"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      21.72,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.8,
+      "log_step": 13,
+      "text_zh": "观察：视频 3.40、3.60、3.80 s 的起点裁剪中，机器人仍在左端起点，发令灯由黄变绿；视频 4.00–4.80 s 的连续抽帧中机器人开始向右前进。log step 13 记录灯色检测，log step 16 的服务观测及动作记录显示等待后开始执行 run，均属同一实时回合。"
+     },
+     {
+      "t": 8.0,
+      "log_step": null,
+      "text_zh": "观察：视频 8.00–8.96 s 每隔 0.12 s 的跑道裁剪中，机器人直立向右跑动，左右腿交替迈步、脚部落在红色跑道上；全程粗采样显示其从左端沿直道持续到达右端。"
+     },
+     {
+      "t": 21.72,
+      "log_step": 28,
+      "text_zh": "观察：视频 20.72–21.72 s 的终点密集抽帧显示机器人跑到两根白色终点柱之间的终点线处，末帧仍直立；与参考成功录像的终点画面相符。log step 28 中基准实时服务返回 episode=1、control_steps=2174、done=True、reason=success；run.json 评分字段为 success=1、live_success=1、graded_by_live=1、resets=0。"
+     },
+     {
+      "t": 21.72,
+      "log_step": 28,
+      "text_zh": "推断：视频末段到达终点与本回合服务成功判定共同支持合法完成五十米，将事件锚定于视频末帧 21.72 s（约半秒精度）。远景不足以独立确定躯干网格前缘、精确反应时间与骨盆横向边界，合法起跑及完赛资格依裁判成功记录确认；未把 agent 工作时间换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.00–4.80 s 起跑及视频 8.00–8.96 s 跑动裁剪显示机器人双腿交替迈步，双脚先后接触红色跑道地面并支撑机体向右前进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待发令后沿红色直道跑至右侧终点，视频约 21.72 s 达成唯一节点“跑完五十米”，实时服务及评分器均确认成功。无失败断点；远景与缺少逐帧状态日志使精确躯干越线及反应时间无法独立核实，资格判定依据裁判成功记录，评分字段未单独报告三项原生指标。",
+ "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“跑完五十米”在视频末帧约21.72 s到达，与成功判定及终点画面一致；无失败断点，接触标注（腿/躯干 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": "2026-10-31T00:42:45Z",
+  "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-sprint-i00-standard--exckruc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-standard--exckruc/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d407719b2992a2360a61f3cc4dc1e6fdc51ac7548d8140cfce27d3a03947f645",
+   "video_sha256": "249af4a1089cf4b1099dc00721fc8fff8717cefc345e12097cb307306c113a48",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--hho5kry.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--hho5kry.json
new file mode 100644
index 0000000000000000000000000000000000000000..a59023e116a11d60b91300fa1fe1efc6c86518fb
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--hho5kry.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-standard--hho5kry",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "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": 2273,
+   "sim_steps": 2273,
+   "calls": 89,
+   "rows": 71,
+   "resets": 0,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 108.1,
+   "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": 0.307,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.845,
+   "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-sprint-i00-standard--hho5kry/replay.mp4",
+  "duration_s": 22.76,
+  "fps": 25.0,
+  "frames": 569,
+  "sha256": "e80ef5ee8f5b2f4d814da5a3ee12de74c52beaeef21e5dd727b24a1785002dcb"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      22.73,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.84,
+      "log_step": 13,
+      "text_zh": "观察：视频 3.44–3.68 s 机器人仍在左侧起点站立，视频 3.76–3.84 s 发令灯转绿；视频 4.16–4.80 s 机器人开始迈步向右前进。log step 13 中 agent 脚本报告检测到绿灯，并在服务控制步 375 后继续保持站立至控制步 387。"
+     },
+     {
+      "t": 12.0,
+      "log_step": null,
+      "text_zh": "观察：视频 5、6、7、8、9、10、11、12、13、14、15、16、17、18、19、20、21 s 的全景帧显示机器人从左向右沿红色直道持续前进；双腿交替迈步，脚部在跑道上落地支撑，未见机体倒地。"
+     },
+     {
+      "t": 22.72,
+      "log_step": 23,
+      "text_zh": "观察：视频 21.60–22.72 s 逐帧显示机器人继续向右跑动，末帧到达两根白色终点柱之间的终点线附近；姿态与成功参考视频 17.04–17.76 s 的冲线过程相符。log step 23 中机器人实时服务返回 done=true、reason=success、outcome=success、stages_reached=2、stages_total=2；inputs/run.json 的 reward 为 live_success=1、graded_by_live=1、resets=0，确认本次单一实时比赛合法完赛。"
+     },
+     {
+      "t": 22.73,
+      "log_step": 23,
+      "text_zh": "推断：log step 9 的服务规格给出 control_dt_s=0.01，log step 23 的终止控制步 2273 对应视频约 2273×0.01=22.73 s，与视频 22.72 s 末帧的终点位置及视频总长 22.76 s 核对一致，故将完成事件记于视频 22.73 s。远景无法分辨躯干碰撞网格前缘或精确起跑反应阈值，合法起跑、三十秒内冲线及无先前判负由上述实时裁判成功结果确认，时刻精度约一帧。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.16–4.80 s 的起跑放大帧及视频 21.60–22.72 s 的终点放大帧可见机器人双腿交替迈步，左右脚依次落在红色跑道上承重并推动机体向终点前进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人等待发令灯转绿后起跑，沿红色直道跑至终点，约视频 22.73 s 完成“跑完五十米”节点，最终进度为 1/1；log step 23 的实时裁判确认合法起跑与冲线两个阶段均完成。无状态日志，远景无法独立核实精确反应时间、骨盆跑道边界及躯干网格越线瞬间，这些验收细节依据本次实时裁判成功结果确认。评分器未报告 distance_m、time_s、reaction_s 的具体数值，原生指标均保留 null。",
+ "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，sprint_finished 在视频约 22.73 s 完成，由实时裁判 stages_reached=2/2 确认；控制步换算（2273×0.01）有 control_dt_s 与末帧位置核对，contact_actual 腿/躯干·支撑合理，无失败层。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": "2026-10-31T00:42:20Z",
+  "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-sprint-i00-standard--hho5kry/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-standard--hho5kry/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "77c2dac00a57febb30b200d47441c35736a8a4714672805388084f2f38b90bcd",
+   "video_sha256": "e80ef5ee8f5b2f4d814da5a3ee12de74c52beaeef21e5dd727b24a1785002dcb",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--qzsdds4.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--qzsdds4.json
new file mode 100644
index 0000000000000000000000000000000000000000..f0dca0c1539bbeff3ccb21208788398ceffbd71e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--qzsdds4.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-standard--qzsdds4",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "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": 2287,
+   "sim_steps": 3865,
+   "calls": 27,
+   "rows": 3865,
+   "resets": 1,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 892.5,
+   "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,
+   "peak_memory_gb": 0.438,
+   "peak_processes": 11,
+   "peak_disk_gb": 1.124,
+   "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-sprint-i00-standard--qzsdds4/replay.mp4",
+  "duration_s": 22.88,
+  "fps": 25.0,
+  "frames": 572,
+  "sha256": "c00de7271f25efcffd4fc7870dbb7254c3445e20cd61df882a57b314210f1c8c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      22.7,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 52,
+      "text_zh": "观察：视频 0.0–4.4 s 机器人位于画面左侧起跑线附近，视频 5.2–6.4 s 开始向右行进；log step 52 显示服务重置到 episode 2，先执行 440 个站立控制步，再执行加速和行进，最终仍在该局的 control_steps=1940。"
+     },
+     {
+      "t": 12.0,
+      "log_step": null,
+      "text_zh": "观察：视频全程按约 1 s 间隔检查，机器人沿红色直道由左向右前进，视频 4.0–6.4 s 的加密放大帧可见双腿交替迈步、足部落在跑道上；视频 12.0 s 位于途中，尚未到达右侧终点。"
+     },
+     {
+      "t": 22.84,
+      "log_step": 79,
+      "text_zh": "观察：视频 21.8–22.84 s 逐帧检查可见机器人从终点线左侧接近两根白色终点柱，视频约 22.6–22.84 s 机体到达终点线处，未见倒地；与参考视频的终点位置相符。log step 79 的机器人服务裁判返回 episode=2、done=true、outcome=success、stages_reached=2、stages_total=2，仿真终止时间 sim_time_s=22.87；评分字段 live_success=1、graded_by_live=1。"
+     },
+     {
+      "t": 22.7,
+      "log_step": 77,
+      "text_zh": "推断：结合视频末段到达终点的画面与 log step 77、79 同一 episode 2 的成功裁判结果，跑完五十米在视频约 22.7 s 达成并锁存，视频时间估计误差约 0.3 s；合法起跑、躯干越线及枪响后不超过 30.0 s 由裁判成功结果确认。这里的视频时间取自已检查的末段帧，未用 agent 工作时间换算；log step 22 的离道属于此前 episode 1，不属于本次评分局。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 5.2–6.4 s 的放大帧中，机器人双脚随迈步交替接触红色跑道并承重，随后以双腿行进至终点；接触作用端为足部，支撑对象为跑道地面。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "评分局完成“跑完五十米”节点（1/1）：机器人等待后沿直道行进，在视频约 22.7 s 到达终点，log step 79 的服务裁判确认成功及阶段 2/2。log step 52 重置后的 episode 2 经 log step 77 延续至完赛，早先 log step 22 的 episode 1 离道失败不计入该评分局。无逐帧状态日志，远景不足以独立核实精确躯干前缘、反应阈值和跑道边界，合法性依据裁判成功记录；评分字段未报告 distance_m、time_s、reaction_s，三项原生指标均留空，仿真回合终止时间不当作枪响后成绩。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "评分局成功，唯一目标节点 sprint_finished 在视频约 22.7 s 到达终点，与末帧及裁判成功记录一致；contact_actual 腿/躯干·支撑合理，无失败层，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": "2026-10-31T00:39:02Z",
+  "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-sprint-i00-standard--qzsdds4/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-standard--qzsdds4/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "2c6b5013babd1cfb551e6e76a056e8b3cdd5144527341239d66fd6806805e0c6",
+   "video_sha256": "c00de7271f25efcffd4fc7870dbb7254c3445e20cd61df882a57b314210f1c8c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--sdzyty9.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--sdzyty9.json
new file mode 100644
index 0000000000000000000000000000000000000000..138b52e978c753d6b77d48c8ecbd195e7cb34e27
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--sdzyty9.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-standard--sdzyty9",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "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": 2281,
+   "sim_steps": 6964,
+   "calls": 411,
+   "rows": 1946,
+   "resets": 4,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 1462.0,
+   "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,
+   "peak_memory_gb": 0.31,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.264,
+   "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-sprint-i00-standard--sdzyty9/replay.mp4",
+  "duration_s": 22.84,
+  "fps": 25.0,
+  "frames": 571,
+  "sha256": "644443a4c740c65c0c0770ff96f28b0c8d9a42a66cddc07c6c702877ba5bad35"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      22.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.0、2.0 s 机器人站在左侧起点；视频 3.6 s 起跑灯仍为黄灯，视频 3.8 s 已变绿，随后视频 4.2–5.6 s 机器人开始迈步向右前进。"
+     },
+     {
+      "t": 12.0,
+      "log_step": null,
+      "text_zh": "观察：视频 6.0、8.0、10.0、12.0、14.0、16.0、18.0、20.0 s 机器人持续沿红色直道向右行进，双腿交替迈步、脚部落在跑道上支撑身体，未见倒地。"
+     },
+     {
+      "t": 22.8,
+      "log_step": 40,
+      "text_zh": "观察：视频 21.04–22.80 s 的密集画面显示机器人继续向两根白色终点柱之间的终点线前进，视频 22.80 s 躯干已到终点线附近；成功参考录像的视频 17.60–17.76 s 显示相同的终点位置，仅用于确认终点外观。log step 40 的机器人服务返回 episode=5、control_steps=2281、done=true、reason=success；评分器字段 success=1、live_success=1、graded_by_live=1，确认本局合法完赛。"
+     },
+     {
+      "t": 22.8,
+      "log_step": 42,
+      "text_zh": "推断：log step 3 给出的控制周期为 0.01 s，log step 40 和 log step 42 的最终受评局控制计数 2281 对应视频约 22.81 s，与视频 22.80 s 最后一帧机器人到达终点的位置及视频总长 22.84 s 相符；故把完成锚点记为视频约 22.8 s。远景不能独立分辨躯干网格前缘及反应阈值，合法冲线依服务成功状态与评分器结果确认，而非采用 agent 的完赛自述。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 4.2–22.8 s 机器人以双腿交替迈步，双脚接触红色跑道地面承重并推动躯干向终点前进。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "受评录像对应最终第 5 次尝试：机器人等待绿灯后沿直道跑向终点，视频约 22.8 s 完成“跑完五十米”，最终达到 1/1 节点。log step 40、42 的机器人服务均确认本局成功结束，且评分器 success=1；会话中先前测试的失败不属于这段受评轨迹。无状态日志，远景不足以独立测定躯干前缘和精细反应时间，合法完赛由服务及评分器确认；评分器未报告 distance_m、time_s、reaction_s 数值，三项原生指标均保留 null。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "标注与视频、服务读数和评分器一致：单节点 sprint_finished 成功，约 22.8 s 到达终点，contact_actual 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": "2026-10-31T00:48:11Z",
+  "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-sprint-i00-standard--sdzyty9/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-standard--sdzyty9/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "5ab28e7fb935b25d047588585bb1f9f0d0ae797a644f94f19e4f9c51b8cb04f3",
+   "video_sha256": "644443a4c740c65c0c0770ff96f28b0c8d9a42a66cddc07c6c702877ba5bad35",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--vp9pqht.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--vp9pqht.json
new file mode 100644
index 0000000000000000000000000000000000000000..c8644401a75bf1a9efd464d38aa321a0fd01c57a
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--vp9pqht.json
@@ -0,0 +1,179 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-standard--vp9pqht",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "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": 2513,
+   "sim_steps": 2513,
+   "calls": 211,
+   "rows": 2513,
+   "resets": 0,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 102.3,
+   "video_rendered": 1,
+   "first_success": 1,
+   "first_reason_code": 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-sprint-i00-standard--vp9pqht/replay.mp4",
+  "duration_s": 25.16,
+  "fps": 25.0,
+  "frames": 629,
+  "sha256": "b1b4142c1184b5ad899239a5c78f5cd57f1a4ec533010e8a97a610485d49b6d6"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      25.1,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 6.2,
+      "log_step": 9,
+      "text_zh": "观察：视频 4.0–5.0 s 机器人仍在左侧起跑区，视频 5.4–7.0 s 可见机器人双腿交替迈步，沿红色直道中间跑道向右前进；log step 9 的实时服务输出记录脚本等待至仿真 4.5 s，头部相机绿灯检测后提交 run 动作。"
+     },
+     {
+      "t": 25.12,
+      "log_step": null,
+      "text_zh": "观察：全片按约一秒间隔检查，机器人从左侧起点持续向右行进；视频 23.8–25.12 s 加密检查可见机器人跑到两根白色终点柱之间的终点线处，最后一帧仍直立。远景中躯干前缘不够清楚，不能独立确定毫米级越线边界。"
+     },
+     {
+      "t": 25.1,
+      "log_step": 10,
+      "text_zh": "推断：结合视频 25.0–25.12 s 的终点位置和裁判结果，将跑完五十米的首次达成锚定为视频约 25.1 s，精度约 0.2 s。log step 9 的实时服务返回 DONE success success 2 2，log step 10 的服务状态为 done=True、reason=success、control_steps=2513、episode=1；inputs/run.json 的评分字段 live_success=1、graded_by_live=1、resets=0，确认本回合合法起跑并在资格时限内完成冲线。此时间取自视频，未使用 agent 工作时间或其自述完赛估时换算。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 5.4–7.0 s 的跑道放大画面可见机器人左右脚交替落在红色跑道上承重，双腿迈步推动躯干前进；视频 23.8–25.12 s 仍以相同足部支撑方式跑向终点。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "观察：机器人从左侧起跑区出发，沿中间跑道持续向右跑至终点，视频约 25.1 s 完成唯一节点“跑完五十米”；log step 9–10 的实时服务与评分字段均确认首回合成功且无重置。推断：等待发令后启动跑步并持续沿道前进使本回合通过验收；远景与无状态日志使精确反应时间、跑道横向边界和躯干前缘越线不能独立量测，合法性依裁判成功结果确认，评分字段未报告的三项原生指标均留空。",
+ "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“跑完五十米”于视频约 25.1 s 到达，与帧一致（机器人在 24 s 位于终点前、25.1 s 到达终点柱处）；评分字段 success=1、无重置，failure 为 null 合理，contact_actual 为腿/躯干支撑，符合实际。",
+    "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": "2026-10-31T00:37:15Z",
+  "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-sprint-i00-standard--vp9pqht/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-standard--vp9pqht/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "d8d5f54058aec902f2ed47854ef2562fcacde9111350c4a4ac2c90447bdd3b97",
+   "video_sha256": "b1b4142c1184b5ad899239a5c78f5cd57f1a4ec533010e8a97a610485d49b6d6",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--yw2nmsn.json b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--yw2nmsn.json
new file mode 100644
index 0000000000000000000000000000000000000000..0430dd705ea79fcd5afaf922099aac07d49af276
--- /dev/null
+++ b/phase2/embodied-olympics-fun/sprint/trajectories/embodied-olympics-fun-sprint-i00-standard--yw2nmsn.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-sprint-i00-standard--yw2nmsn",
+ "taskKey": "embodied-olympics-fun/sprint",
+ "dag_sha256": "0149aa6f0b32031f23e39d9413549f495c8bb6bb0a986fc48b8dfc969a3cf278",
+ "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": 1882,
+   "sim_steps": 2602,
+   "calls": 237,
+   "rows": 1828,
+   "resets": 1,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 216.7,
+   "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": 0.326,
+   "peak_processes": 8,
+   "peak_disk_gb": 0.83,
+   "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-sprint-i00-standard--yw2nmsn/replay.mp4",
+  "duration_s": 18.84,
+  "fps": 25.0,
+  "frames": 471,
+  "sha256": "9f4de45ba7cc112cec310f1f420eff078ed8f568e0236ddc3090da88d102b47c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "sprint_finished": {
+    "method": "visual",
+    "intervals": [
+     [
+      18.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 3.6,
+      "log_step": null,
+      "text_zh": "观察：视频 3.4–4.4 s 的起点放大帧中，机器人仍位于画面左侧起跑线附近；视频 4.6–5.4 s 可见其开始迈步向右前进。"
+     },
+     {
+      "t": 12.64,
+      "log_step": null,
+      "text_zh": "观察：视频 6–17 s 的全程抽帧显示机器人沿红色直道从左向右持续前进；视频 12.48–12.80 s 的放大连续帧显示双腿交替迈步、足部落在跑道上，未见机体倒地。"
+     },
+     {
+      "t": 18.8,
+      "log_step": null,
+      "text_zh": "观察：视频 17.80–18.80 s 逐帧检查可见机器人继续跑向两根白色终点柱之间，视频 18.80 s 已到达终点线处；其终点位置与参考录像视频 17.76 s 的成功末帧相符。远景无法独立辨认躯干碰撞网格的精确越线瞬间。"
+     },
+     {
+      "t": 18.8,
+      "log_step": 24,
+      "text_zh": "推断：log step 23 的 sim.reset=1、log step 24 启动修改后的跑步控制脚本，结合录像完整跑至终点及 run.json 的 reward.live_success=1、graded_by_live=1、finalized=1，确认本次受评的是重置后的成功回合，合法起跑及五十米冲线验收成立。将达成时刻近似锚定为所检查的末帧视频 18.80 s；未将 agent 时间或其自述的仿真完赛时刻换算为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人以双脚交替接触红色跑道地面承重并向前跑；视频 12.48–12.80 s 及视频 17.80–18.80 s 的放大连续帧可见迈步与足部着地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "distance_m",
+   "unit": "m",
+   "threshold": 50.0,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "time_s",
+   "unit": "s",
+   "threshold": 30.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "reaction_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "受评录像中机器人从左侧起点沿直道跑至右侧终点，约视频 18.8 s 达成“跑完五十米”，最终完成 1/1 节点，实时评分成功。日志中的早期离道尝试已在 log step 23 重置，不作为本次受评回合的失败。没有状态日志，远景无法独立核实精确反应时间、跑道边界及躯干越线瞬间，合法完赛结合评分结果确认；评分器未报告 distance_m、time_s、reaction_s 的数值，三项原生指标均留空。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点成功标注与录像一致：机器人从左侧起点沿红道跑至右侧终点，视频约18.8 s到达终线，评分成功；无失败层合理，clock与证据措辞规范。",
+    "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": "2026-10-31T00:48:32Z",
+  "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-sprint-i00-standard--yw2nmsn/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-sprint-i00-standard--yw2nmsn/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "1e1924aa47493372dd5af65469b0273e094e1a90d55779a27d5fe370cd78a857",
+   "video_sha256": "9f4de45ba7cc112cec310f1f420eff078ed8f568e0236ddc3090da88d102b47c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--6mpv7z4.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--6mpv7z4.json
new file mode 100644
index 0000000000000000000000000000000000000000..84e64bb1a029a8f601e29b9c9fbb9ecf188897ec
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--6mpv7z4.json
@@ -0,0 +1,204 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-privileged--6mpv7z4",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 109,
+   "sim_steps": 109,
+   "horizon": 2000,
+   "episode_over": 0,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 2.74,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.426,
+   "metric_mark_m": 1.323,
+   "metric_rise_m": 0.214,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 999,
+   "agent_resets": 6279,
+   "agent_replays": 32,
+   "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": 6.486,
+   "peak_processes": 11,
+   "peak_disk_gb": 0.846,
+   "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-standing-long-jump-i00-privileged--6mpv7z4/replay.mp4",
+  "duration_s": 1.12,
+  "fps": 25.0,
+  "frames": 28,
+  "sha256": "e3d4afbc2ff2fc000a2991e77cd9f593e4df9a2f56ba8c1af6c8f08bd554d22a"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.64 s，机器人双脚在线后地面上支撑、摆臂并准备蹬地；视频 0.68–1.04 s 可见双脚腾空向黄色合格线前跃。"
+     },
+     {
+      "t": 1.08,
+      "log_step": 432,
+      "text_zh": "观察：视频 1.08 s 末帧可见机器人前伸的一脚在黄色合格线附近接地，另一腿仍向后屈起，骨盆低且躯干明显后仰；视频到此结束，没有直立连续站稳过程。log step 432 对最终交付文件的重放返回 stages=[take-off, landing]、steps=109、success=false、failed=null，未达到 stand；评分器字段 stages_reached=2、stages_total=3、fell=0 与此一致。"
+     },
+     {
+      "t": 1.08,
+      "log_step": 425,
+      "text_zh": "推断：完整跳跃节点未曾成立。log step 425 的生成脚本检测 landing 后退出飞行循环，只追加一个控制步便保存；log step 432 验证的交付文件共有 109 行，录像也在首次落地时结束，未包含节点要求的落地后连续 100 个控制步站稳。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.64 s，机器人双脚与红色地面接触并蹬地；视频 0.68–1.04 s 腾空；视频 1.08 s 前伸脚在黄色合格线附近落地承重。双臂摆动，未见手接地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "value": 1.323,
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better"
+  },
+  {
+   "name": "air_s",
+   "value": 0.426,
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better"
+  },
+  {
+   "name": "rise_m",
+   "value": 0.214,
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better"
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.08,
+   "log_step": 432,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.96–1.08 s，机器人伸腿前跃至黄色合格线附近，首次脚触地时身体仍后仰、另一腿仍屈起，录像在完成站稳前结束。log step 432 的最终交付重放仅达到 take-off、landing 两阶段，success=false、failed=null；失败所在步骤是完整的立定跳远站稳。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 1.08,
+    "log_step": 432,
+    "evidence_zh": "观察：视频 0.96–1.08 s，机器人以一腿向前伸出的后仰姿态下降，末帧仅见该脚到达黄线附近，未收回另一腿或起身站稳。最终交付重放（log step 432）有 landing 而无 stand，评分器 fell=0；跳跃动作未完成落地后的稳定站立。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 429,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：落地后的姿态与支撑控制未解决。视频 1.08 s 显示落地时骨盆低、躯干后仰且另一腿悬在后方；log step 425 的交付脚本以定时关节目标执行腾空姿态，检测 landing 后只再执行一个控制步便保存。log step 428–429 从同一交付文件末态另行测试步行控制器接管，输出显示追加动作后骨盆继续下降，第四个控制步因另一脚短落点被判失败；这支持控制层面的恢复困难，但该追加失败不属于交付录像。现有证据不足以细分具体控制子类。"
+   }
+  ],
+  "gap_zh": "观察：inputs/ 没有状态日志；视频只有 1.12 s、25 fps，不能精确复核双脚离地时差、地面接触几何、躯干竖直分量和骨盆速度。交付录像仅到首次脚落地附近，不能判定继续运行后是否跌倒或出现短落点；log step 429 的追加恢复测试仅用于根因分析。控制根因保留大类，未将具体参数或反馈环节认定为已证实原因。"
+ },
+ "summary_zh": "机器人完成向前腾空并以脚落到合格线附近，评分器记录落点 1.323 米、腾空 0.426 秒、上升 0.214 米，但完整立定跳远站稳节点为 0/1。视频 1.08 s 末帧仍后仰且另一腿屈起，交付文件在落地后仅追加一个控制步，未完成连续站稳；日志中的同末态恢复测试支持落地控制尚未解决。无状态日志，且录像未包含后续恢复，不能把测试中的跌倒或短落点归入本次交付。",
+ "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 standing_long_jump_completed 未达成、断点、步态现象与控制根因均有视频与 log step 425/428/429/432 及评分器字段（stages_reached=2、mark_m=1.323、fell=0）支持；时间均为视频时钟，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": "2026-10-31T00:39:03Z",
+  "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-standing-long-jump-i00-privileged--6mpv7z4/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-privileged--6mpv7z4/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "ecd6fcd072f78a5d6cf6414f91bd0b5e72c24cb8cc8c07fac80e9cdf7a5f558e",
+   "video_sha256": "e3d4afbc2ff2fc000a2991e77cd9f593e4df9a2f56ba8c1af6c8f08bd554d22a",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--by9wg8i.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--by9wg8i.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec217f98d3d2495f7298c2ad57d291a11c8895f2
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--by9wg8i.json
@@ -0,0 +1,194 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-privileged--by9wg8i",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "outcome": {
+  "success": 0,
+  "reward": 0.0,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 2000,
+   "sim_steps": 2000,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 0.0,
+   "stages_reached": 0,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 17.04,
+   "bad_trajectory": 0,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 5,
+   "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": 2.369,
+   "peak_processes": 22,
+   "peak_disk_gb": 0.244,
+   "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-standing-long-jump-i00-privileged--by9wg8i/replay.mp4",
+  "duration_s": 20.04,
+  "fps": 25.0,
+  "frames": 501,
+  "sha256": "e3077a9bbf9b2d370087fb572528850a1e81122feafbbd67bb839fdd3c7c4d64"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 13,
+      "text_zh": "观察：视频 0.00、0.04、0.08、0.16、0.32、0.48、0.96 s 的机器人均在白色起跳线后直立，随后按视频每 0.5 s 检查至视频 19.5 s，未见下蹲蹬地、向前腾空或越过黄色合格线；log step 13 的脚本将同一 hold 站姿命令执行 2000 步并保存。"
+     },
+     {
+      "t": 20.0,
+      "log_step": 225,
+      "text_zh": "观察：视频 19.00–20.00 s 逐帧检查，机器人仍双脚支撑于白线后，末帧没有起跳或跌倒。log step 216 确认生成文件与原站姿文件逐元素相同，log step 225 重生成并验证交付文件，结果 executed_rows=2000、failed=time、success=False；评分器 reward 的 stages_reached=0、fell=0，与视频一致。"
+     },
+     {
+      "t": 1.0,
+      "log_step": null,
+      "text_zh": "观察：成功参考录像的参考视频 0.4 s 可见机器人下蹲，参考视频 0.8–1.0 s 可见前跃腾空，参考视频 1.2 s 可见黄线处屈膝落地；本次视频相应区域全程可见，但未出现这些动作。本次节点从未满足。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 0.0,
+   "log_step": 225,
+   "where": "首步前",
+   "evidence_zh": "观察：视频 0.00–20.00 s 的机器人始终站在白色起跳线后，未启动下蹲、蹬地或前跃；视频 19.00–20.00 s 逐帧检查仍如此。log step 13 保存 2000 步 hold 基线，log step 216 确认交付文件与该基线相同，log step 225 验证其仅执行到时限。因此断在完整跳跃步骤开始之前，视频 0.0 s 为导航锚点。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "没尝试",
+    "item": "没尝试",
+    "t": 0.0,
+    "log_step": 225,
+    "evidence_zh": "观察：视频 0.00–20.00 s（包括视频 19.00–20.00 s 的逐帧末尾）显示机器人原地站立，没有执行跳跃。log step 217 的交付说明和 log step 226 的最终自述均明确交付的是 stand 模式站姿保持轨迹；会话中的起跳试验未包含在评分轨迹中。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 208,
+    "source_zh": "日志",
+    "evidence_zh": "推断：agent 未能构造出完成跳跃并站稳的控制轨迹，遂交付站姿基线；依据是会话测试在 log step 140、182 曾记录起跳及落地后 fell，在 log step 145、205、208 多个控制变体仍返回 the landing was not on the feet；log step 217 明确说明未获得合格跳跃，交付 fallback 站姿，log step 225 验证该文件。这里仅以会话测试解释未启动评分跳跃的背景，不把测试中的跌倒当作评分片段的现象；证据不足以再区分接触设计、轨迹或反馈控制子类。"
+   }
+  ],
+  "gap_zh": "没有状态日志，评分器 reward 未报告 mark_m、air_s、rise_m，故原生指标均留 null，不能把会话测试的数值填入本次成绩。控制根因由会话测试与交付记录推断；具体动力学机制未独立验证，agent 在 log step 226 关于前翻必然性的说法不作为已证实结论。跳跃步骤从未启动，故不填写该步骤的 contact_actual；画面中的双脚静态支撑只是基线站姿。"
+ },
+ "summary_zh": "评分视频 0.00–20.00 s 中机器人始终在白线后保持站立，立定跳远站稳节点未达成，最终为 0/1；断点在首步前，现象为没尝试。会话日志多次记录跳跃控制测试的落地失败，agent 最终交付并验证了 2000 步站姿基线，因此根因按会话证据推断为控制，不能把测试中的跳跃或跌倒计入评分片段。无状态日志且评分器未报告跳远距离、腾空时间和上升高度，无法确认更细控制子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "视频 0–20 s 机器人始终站在白线后，节点未达成、final=false、断点首步前/没尝试均与视频和评分器数值（stages_reached=0）一致；根因控制按会话测试与交付记录作为推断标注，未越界。",
+    "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": "2026-10-31T00:35:59Z",
+  "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-standing-long-jump-i00-privileged--by9wg8i/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-privileged--by9wg8i/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "31061ad16cc904d3bd4cf072932ac24cb55ccc09d148a01f2bb552002f8d3619",
+   "video_sha256": "e3077a9bbf9b2d370087fb572528850a1e81122feafbbd67bb839fdd3c7c4d64",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--fuctjyk.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--fuctjyk.json
new file mode 100644
index 0000000000000000000000000000000000000000..2436c740dffbed158dc7b37ad9dfa2a6350d8b8b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--fuctjyk.json
@@ -0,0 +1,184 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-privileged--fuctjyk",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 2000,
+   "sim_steps": 358,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 3.54,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.543,
+   "metric_mark_m": 1.398,
+   "metric_rise_m": 0.304,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 317,
+   "agent_resets": 29242,
+   "agent_replays": 8,
+   "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": 6.734,
+   "peak_processes": 43,
+   "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-standing-long-jump-i00-privileged--fuctjyk/replay.mp4",
+  "duration_s": 3.6,
+  "fps": 25.0,
+  "frames": 90,
+  "sha256": "c6b5fcf8e45f4c84eff08ba03a468c7985d5d19aadf9cbafcf87f7c9a44f0730"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.56,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.68,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.64 s，机器人双脚位于白色起跳线后，先屈膝前倾再伸腿摆臂；视频 0.68–0.76 s 可见脚离开地面并向前跃起，视频 0.80–1.08 s 持续腾空。"
+     },
+     {
+      "t": 1.2,
+      "log_step": null,
+      "text_zh": "观察：视频 1.16–1.24 s，机器人在黄色合格线远侧以脚着地；视频 1.24–1.44 s 深屈膝缓冲，未见手、膝或躯干触地，随后重新伸腿并向前调整脚步。"
+     },
+     {
+      "t": 3.56,
+      "log_step": null,
+      "text_zh": "观察：视频 2.40–3.56 s，机器人保持直立，双脚支撑在黄线远侧；逐帧检查视频最后一秒，未见跌倒或其他身体部位触地。inputs/run.json 的 reward 记录 success=1、replay_success=1、stages_reached=3/3、fell=0，原生评分器确认起跳、落地和站稳均通过。"
+     },
+     {
+      "t": 3.56,
+      "log_step": 78,
+      "text_zh": "推断：log step 78 将最终候选写入交付轨迹并重放，log step 79 再次重放成功且终态哈希相同；两次成绩均为落点 1.398 米、腾空 0.543 秒、上升 0.304 米，与最终 reward 一致。结合视频末尾站立画面，将完整跳跃节点达成近似锚定于视频末帧 3.56 s；没有状态日志，不能从画面精确读取连续站稳计数的触发帧。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.64 s，机器人双脚在红色地面承重并蹬地；视频 0.76–1.08 s 双脚腾空，视频约 1.20 s 在黄线远侧以脚落地，随后屈膝缓冲、调整脚步，至视频 3.56 s 由双脚支撑直立；未见手、膝或躯干接地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": 1.398
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.543
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.304
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成「立定跳远站稳」唯一节点：在白线后蹬地前跃，落在黄线远侧，屈膝缓冲并向前调整后直立站稳，完成时间近似记为视频 3.56 s。评分器确认成功，落点成绩 1.398 米、腾空 0.543 秒、上升 0.304 米，均达到阈值，未记录跌倒。无状态日志，25 帧/秒画面无法精确复核双脚离地时差、骨盆速度、躯干倾角和连续站稳计数，细节以原生评分结果为依据。",
+ "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 standing_long_jump_completed 在视频末帧 3.56 s 达成（评分器 sim_steps=358 与视频末尾一致），接触标注（腿/躯干·支撑）与画面相符，未见跌倒，无 failure，标注无误。",
+    "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": "2026-10-31T00:34:21Z",
+  "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-standing-long-jump-i00-privileged--fuctjyk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-privileged--fuctjyk/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "88a52c2fdacd1a34602bdb6ca8456675d51b2959d14753aa889b8c0ce9d8c6da",
+   "video_sha256": "c6b5fcf8e45f4c84eff08ba03a468c7985d5d19aadf9cbafcf87f7c9a44f0730",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--n5utnsr.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--n5utnsr.json
new file mode 100644
index 0000000000000000000000000000000000000000..7197b0aa71afa1ab5aa9151f863ce921875565c4
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--n5utnsr.json
@@ -0,0 +1,200 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-privileged--n5utnsr",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 133,
+   "sim_steps": 133,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 1,
+   "replay_s": 2.71,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.542,
+   "metric_mark_m": 1.366,
+   "metric_rise_m": 0.188,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 22,
+   "agent_resets": 489,
+   "agent_replays": 3,
+   "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": 17.688,
+   "peak_processes": 50,
+   "peak_disk_gb": 0.993,
+   "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-standing-long-jump-i00-privileged--n5utnsr/replay.mp4",
+  "duration_s": 1.36,
+  "fps": 25.0,
+  "frames": 34,
+  "sha256": "a1599b6fa7c563cb0051b6b6261aecce0322ac79493e2944db04c92e8e80fa64"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.76,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.64 s 机器人双脚在白线后支撑并下蹲，视频 0.76–1.24 s 身体向前腾空，双腿随后前伸；这是一次已启动的跳跃尝试。"
+     },
+     {
+      "t": 1.32,
+      "log_step": 330,
+      "text_zh": "观察：视频 1.28–1.32 s 机器人双脚降至黄色线附近地面，骨盆很低、躯干接近水平，末帧仍在下沉，没有落地后直立站稳的过程。log step 330 对最终交付文件的重放返回 stages=[take-off, landing]、failed=fell、success=false；inputs/run.json 的 reward 同样记录 fell=1、stages_reached=2/3，故完整跳跃站稳节点未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.72 s 机器人双脚在红色地面上承重、下蹲并蹬地；腾空后，视频 1.28–1.32 s 双脚重新落地承重，身体继续下沉，未站稳。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": 1.366
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.542
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.188
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.32,
+   "log_step": 330,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.20–1.32 s 机器人以双腿前伸、骨盆很低的姿态下降并落地，未恢复直立；log step 317 两次最终文件重放均在 133 个控制步后返回 failed=fell，log step 330 再次重放仍为同一失败结果，且与评分器 fell=1 一致。失败发生在连续跳跃的落地支撑阶段。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.32,
+    "log_step": 330,
+    "evidence_zh": "观察：视频 1.28–1.32 s 双脚落地时机器人骨盆接近地面、躯干大幅后仰，身体继续下沉而未形成稳定直立支撑；log step 330 的交付文件重放及 inputs/run.json 的 reward 均报告 fell，未达到 stand 阶段。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 317,
+    "source_zh": "视频 / 日志",
+    "evidence_zh": "推断：视频 1.04–1.32 s 显示机器人在飞行末段将双腿前伸，落地时骨盆已经很低，落地动作未能将身体恢复至站立支撑。log step 317 确认该关节控制器生成的最终轨迹两次重放均以相同终态哈希返回 fell，排除了仅为一次重放偏差的解释；log step 337 中 agent 也自述其落地恢复未能兼顾距离与稳定性。因此归为落地控制失败，未将 agent 自述的冲击速度或关节角度当作已核实状态。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25 帧/秒的单一场外视角不能精确核对双脚起跳时差、骨盆高度阈值、接触力和关节跟踪误差，因而不细分控制根因。log step 337 所称冲击速度、骨盆高度及腿部角度为 agent 自述，未独立验证；本次节点是否完成及跌倒结局由视频和最终文件重放结果共同确认。",
+  "unmet": {
+   "standing_long_jump_completed": false
+  }
+ },
+ "summary_zh": "机器人完成起跳并向前落地，评分器记录腾空 0.542 秒、上升 0.188 米、成绩 1.366 米，原生阶段达到 2/3；但 DAG 的唯一节点要求完整跳跃后站稳，因此最终完成 0/1 节点。视频 1.28–1.32 s 显示落地时骨盆很低并继续下沉，最终文件重放一致判为跌倒，断在立定跳远的落地支撑阶段，归为平衡现象和控制根因。无状态日志，无法进一步判定落地接触设计、参数或反馈控制中哪一项造成失败。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点未完成、断点在落地阶段、平衡现象与控制根因均有视频和评分器 fell=1、stages=2/3 支持；未发现需改内容。落地帧时间（实际约 1.12–1.2 s）略有偏差但在一秒内。",
+    "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": "2026-10-31T00:36:08Z",
+  "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-standing-long-jump-i00-privileged--n5utnsr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-privileged--n5utnsr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "03a0cc237c64a56e813df4ad7d6a6b0365bd9ebd313bda3f4bdf2533fce23b21",
+   "video_sha256": "a1599b6fa7c563cb0051b6b6261aecce0322ac79493e2944db04c92e8e80fa64",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--pp2c6fp.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--pp2c6fp.json
new file mode 100644
index 0000000000000000000000000000000000000000..f4d3b4bb14f982900501b6c35c087d030330ecba
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--pp2c6fp.json
@@ -0,0 +1,206 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-privileged--pp2c6fp",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 130,
+   "sim_steps": 130,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 3.67,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.64,
+   "metric_mark_m": 0.857,
+   "metric_rise_m": 0.372,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 3683,
+   "agent_resets": 361,
+   "agent_replays": 7,
+   "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": 88.636,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.277,
+   "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": 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-standing-long-jump-i00-privileged--pp2c6fp/replay.mp4",
+  "duration_s": 1.32,
+  "fps": 25.0,
+  "frames": 33,
+  "sha256": "90868fd825389237e7dcc56a6a25f8de1f4c4c8803a6582892d3444b12c86a30"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.64,
+      "log_step": null,
+      "text_zh": "观察：已逐帧检查本次视频 0.00–1.28 s 的全部 33 帧；机器人在白线后屈膝、摆臂并蹬地，视频 0.68–1.16 s 可见双脚离地向前运动。"
+     },
+     {
+      "t": 1.28,
+      "log_step": 706,
+      "text_zh": "观察：视频 1.20–1.28 s 机器人下降，双脚位于黄色合格线靠白线一侧，躯干大幅倾斜，片段结束前没有越线后直立站稳过程；log step 706 直接加载已保存的 trajectory.npz 重放，服务裁判报告 take-off、landing 两阶段和失败原因 the jump is too short，mark_m=0.857、air_s=0.64、rise_m=0.372，与 run.json 的 reward 一致。"
+     },
+     {
+      "t": 1.28,
+      "log_step": null,
+      "text_zh": "推断：本次跳跃虽有有效腾空和脚先落地，但最近触地点成绩 0.857 米不足任务要求的 1.32 米，完整跳跃站稳节点从未达到。成功参考视频 1.20 s 落于黄线远侧并在参考视频 2.00–3.40 s 直立站稳，说明本次所缺的越线与站稳表现可在相同视角辨认；参考仅用于比较可见判据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：本次视频 0.00–0.64 s 机器人双脚在红色地面承重并蹬地，随后腾空；视频 1.20–1.28 s 双脚下降至黄色合格线近侧，log step 706 的已保存轨迹重放裁判确认以脚落地。双臂摆动，未见手臂接触地面或其他物体。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": 0.857
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.64
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.372
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.28,
+   "log_step": 706,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.20–1.28 s，机器人结束向前腾空、双脚降至黄线近侧，尚未站稳；log step 706 重放已交付文件时，服务裁判在首次落地报告 the jump is too short，成绩 0.857 米，立即结束，只有 take-off、landing 而无 stand 阶段。该末段可见落点与 run.json 的两阶段结果一致，断点为正在执行的完整立定跳远步骤。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 1.28,
+    "log_step": 706,
+    "evidence_zh": "观察：视频 0.68–1.28 s 机器人已经腾空前跃，但下降时双脚落点仍在黄色合格线近侧；log step 706 的保存文件重放和 reward 均给出落点 0.857 米，低于 1.32 米要求，且 reward.fell=0。这里是跳跃距离不足，片段中未见非脚部位着地。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 1.28,
+    "log_step": 697,
+    "source_zh": "日志",
+    "evidence_zh": "推断：agent 在 log step 697 写入并于 log step 698 生成交付轨迹，控制脚本依次使用固定关节目标下蹲、摆臂，固定力矩和关节速度目标蹬伸，随后按飞行步数展开双腿；该文件在 log step 706 直接重放仍只达到 0.857 米。结合视频 0.68–1.28 s 的明显俯仰变化及黄线前落点，说明所生成的蹬伸与空中姿态控制未实现所需前跃落点；证据支持控制层失败，无法进一步确定具体不当参数或跟踪误差。"
+   }
+  ],
+  "gap_zh": "没有状态日志；25 帧/秒视频的最后一帧是视频 1.28 s，首次接触的精确瞬间与脚部接触点采用 log step 706 的已保存文件重放裁判结果和 reward 辅助确认，断点时间仅为附近视频锚点。交付脚本和视频不能单独区分起跳冲量、空中姿态轨迹及关节跟踪各自的影响，因此根因保留在控制类别，不指定参数调试或反馈控制。"
+ },
+ "summary_zh": "机器人完成了原地蹬地、腾空和脚先落地，但落点只有 0.857 米，未越过 1.32 米合格线，完整立定跳远站稳节点未达到（0/1）；原生裁判的 2/3 是起跳、落地阶段数，不是 DAG 节点完成数。失败断在跳跃落地，现象为步态距离不足，交付的蹬伸及空中姿态控制未实现所需落点。无状态日志，首次接触的精确瞬间和控制细分根因不能完全由视频核定。",
+ "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（0/1）、断点在跳跃落地、步态（跳得太短、未摔倒）及控制根因均有视频与 log step 706 的裁判读数支持；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": "2026-10-31T00:36:17Z",
+  "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-standing-long-jump-i00-privileged--pp2c6fp/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-privileged--pp2c6fp/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "dd72039cfe6825ea1318b48087df9cdc34a5077bf97d3757f5f4c0a298aa50ff",
+   "video_sha256": "90868fd825389237e7dcc56a6a25f8de1f4c4c8803a6582892d3444b12c86a30",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--xt4brdr.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--xt4brdr.json
new file mode 100644
index 0000000000000000000000000000000000000000..a0c6520fabd689736d47bd48aed10a1c8d6ad537
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--xt4brdr.json
@@ -0,0 +1,203 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-privileged--xt4brdr",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "outcome": {
+  "success": 0,
+  "reward": 0.6667,
+  "source": "catalog",
+  "raw": {
+   "success": 0,
+   "replay_success": 0,
+   "deterministic": 1,
+   "n_actions": 2000,
+   "sim_steps": 148,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 0.6667,
+   "stages_reached": 2,
+   "stages_total": 3,
+   "fell": 1,
+   "replay_s": 3.69,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.424,
+   "metric_mark_m": 1.506,
+   "metric_rise_m": 0.14,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 1,
+   "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": 0.0,
+   "peak_memory_gb": 4.51,
+   "peak_processes": 27,
+   "peak_disk_gb": 0.279,
+   "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-standing-long-jump-i00-privileged--xt4brdr/replay.mp4",
+  "duration_s": 1.52,
+  "fps": 25.0,
+  "frames": 38,
+  "sha256": "482dccefc91b9666682abc43ffe22424dc965cb4e77abfc483f079ffb254af60"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.64,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.40 s 机器人站在白线后，视频 0.44–0.80 s 双脚留在原处、屈膝下蹲，随后蹬地向前跳；视频 1.00–1.28 s 可见双脚腾空并向黄线移动。"
+     },
+     {
+      "t": 1.36,
+      "log_step": 75,
+      "text_zh": "观察：视频 1.32–1.40 s 机器人双脚在黄色合格线远侧着地，但双腿前伸、上身向后倒，视频 1.44–1.48 s 躯干接近水平并继续下落，没有恢复直立或连续站稳。log step 75 对最终保存轨迹的新进程重放仅报告 take-off、landing 两阶段并以 fell 结束；inputs/run.json 的评分器字段 stages_reached=2、stages_total=3、fell=1 与画面一致。"
+     },
+     {
+      "t": 1.48,
+      "log_step": null,
+      "text_zh": "推断：本次虽完成起跳与合格距离的脚先落地（评分器 metric_mark_m=1.506、metric_air_s=0.424、metric_rise_m=0.14），但视频末段向后跌倒，未完成含连续站稳验收的整个立定跳远节点，故无达成区间、终值为假。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.92 s 机器人双脚承重、屈膝并蹬红色地面，腾空后于视频约 1.32 s 以双脚在黄线远侧接地；脚部短暂承重后身体向后倒下。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": 1.506
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.424
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.14
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.36,
+   "log_step": 75,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.32 s 机器人脚先落到黄线远侧后，上身仍在双脚后方且迅速向后倾倒，视频 1.36–1.48 s 未能恢复支撑姿态。log step 75 最终交付轨迹重放为 take-off、landing 后 fell；唯一跳跃节点的落地站稳部分未完成。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.36,
+    "log_step": 75,
+    "evidence_zh": "观察：视频 1.32–1.48 s 机器人双脚着地后向后倒，上身从明显后仰发展为近乎水平、头背部降至地面附近，没有起身；评分器字段 fell=1，log step 75 最终轨迹重放亦报告 fell。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：所交付跳跃控制未能在脚部落地后制止身体后倾、维持骨盆高度并恢复直立。依据是视频 1.32–1.48 s 双脚在身体前方着地后上身持续向后下落，以及 log step 75 最终轨迹重放仅完成起跳和落地；log step 81 对相同已保存参数的基线复测得到落地后仅维持 13 个控制步、stand 的 max_hold=0、zmin=0.324，若干落地关节参数修改也未改善该结果。这些证据支持落地稳定控制失败，但不能确定更细子类。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无状态日志，25 fps 的单一场外视角不能精确复核双脚离地时差、触地接触对、骨盆高度和速度、关节目标与实际跟踪误差；原生时长、上升量和落点采用本次评分器字段。log step 81 的诊断是 agent 脚本复测而非独立状态记录，故根因仅标控制，不把 agent 在 log step 82 关于发射角及落地几何的解释当作已证实的具体原因。"
+ },
+ "summary_zh": "机器人从白线后下蹲起跳并在黄线远侧以脚落地，评分器记录落点 1.506 米、腾空 0.424 秒、上升 0.140 米，但唯一的完整立定跳远站稳节点未完成（0/1）。视频约 1.32–1.48 s 显示机器人落地后向后倒下，与最终交付轨迹重放的 fell 一致，断点为跳跃操作中的落地稳定失败，根因归为控制。无状态日志，具体接触时序及轨迹、支撑布局和关节跟踪各自的作用无法精确分辨。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "节点未达成、断点在跳跃节点的落地站稳、平衡现象与控制根因均与视频及评分器字段一致，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": "2026-10-31T00:36:13Z",
+  "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-standing-long-jump-i00-privileged--xt4brdr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-privileged--xt4brdr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "66c6a803a8ab4435414cfeea3c606b73d9218df2cc183f176d81174a62cf680d",
+   "video_sha256": "482dccefc91b9666682abc43ffe22424dc965cb4e77abfc483f079ffb254af60",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--ygyuikf.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--ygyuikf.json
new file mode 100644
index 0000000000000000000000000000000000000000..8616304e767b5a00ad4623dd19bb4d080c9b9308
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-privileged--ygyuikf.json
@@ -0,0 +1,189 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-privileged--ygyuikf",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 316,
+   "sim_steps": 316,
+   "horizon": 2000,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 3,
+   "stages_total": 3,
+   "fell": 0,
+   "replay_s": 3.39,
+   "bad_trajectory": 0,
+   "metric_air_s": 0.477,
+   "metric_mark_m": 1.322,
+   "metric_rise_m": 0.214,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 1287,
+   "agent_resets": 1048,
+   "agent_replays": 4,
+   "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": 11.396,
+   "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-standing-long-jump-i00-privileged--ygyuikf/replay.mp4",
+  "duration_s": 3.2,
+  "fps": 25.0,
+  "frames": 80,
+  "sha256": "a65e60048d7785338a0760dede655ef30ca89dc03c3fe824cf652c03ce1b6a09"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.16,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.76 s，机器人双脚在白色起跳线后支撑，下蹲并摆臂；初始站立尚不满足完整立定跳远节点。"
+     },
+     {
+      "t": 0.88,
+      "log_step": null,
+      "text_zh": "观察：视频 0.84–1.28 s，机器人从白线后向前腾空，双脚与红色地面分离；视频 1.32 s 已以脚接地，落脚处位于黄色合格线附近，随后屈膝缓冲，未见手、膝或躯干着地。"
+     },
+     {
+      "t": 3.16,
+      "log_step": null,
+      "text_zh": "观察：视频 1.36–2.16 s，机器人从落地后的深蹲逐渐抬起躯干；视频 2.16–3.16 s，机器人保持直立、以双脚支撑，脚位于黄线远侧，末段没有明显位移或跌倒。"
+     },
+     {
+      "t": 3.16,
+      "log_step": 172,
+      "text_zh": "观察：inputs/run.json 的 reward 给出 success=1、replay_success=1、deterministic=1、stages_reached=3/3、fell=0；log step 172 对最终交付的同一轨迹两次新进程重放均返回 success=true、failed=null、相同 state_sha，原生指标为 mark_m=1.322、air_s=0.477、rise_m=0.214。"
+     },
+     {
+      "t": 3.16,
+      "log_step": 148,
+      "text_zh": "推断：log step 148 保存并重放的交付轨迹在控制步 316 完成 stand 阶段；log step 146 的控制周期为 0.01 s，因此完成锚点取视频 316×0.01=3.16 s。该映射已用重放报告的仿真 1.31 s 落地事件与视频 1.28 s 尚在空中、视频 1.32 s 已脚接地核对，且仿真总长 3.16 s 与视频总长 3.20 s 相差一帧。结合视频末段直立支撑和评分器成功结果，完整节点在此达到并保持为真；25 fps 单视角不能独立量出起跳时差、骨盆速度与倾角阈值。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：机器人双脚在白线后的红色地面上承重并蹬地，视频约 0.84–1.28 s 腾空脱离地面，视频约 1.32 s 以脚落地，随后双脚承重缓冲并恢复直立，持续支撑至视频 3.16 s；双臂摆动但未见触地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": 1.322
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": 0.477
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": 0.214
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成唯一的“立定跳远站稳”节点：从白线后原地前跃，视频约 1.32 s 以脚落地，随后缓冲、起身并站稳，完整验收锚点为视频约 3.16 s。评分器确认成功且重放一致，落点 1.322 米、腾空 0.477 秒、上升 0.214 米均达标，无失败断点。没有状态日志；起跳时差、精确接触位置、骨盆速度与倾角阈值无法仅靠 25 fps 场外画面独立复核，这些细节依赖最终交付的重放裁判结果。",
+ "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“立定跳远站稳”判为达成（视频 3.16 s 锚点）与评分器成功、重放一致、视频末段直立站于黄线远侧相符；无失败断点，contact_actual（腿/躯干 支撑）合理，时钟映射（316 控制步×0.01=3.16 s，log step 148 的 time_s=3.16、落地 1.31 s）有据。未发现需改动处。",
+    "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": "2026-10-31T00:38:42Z",
+  "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-standing-long-jump-i00-privileged--ygyuikf/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-privileged--ygyuikf/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "a7e1ae2b38846af553327b95d3e8b71d5486ad5b834cbd50fe7938095de3d9c2",
+   "video_sha256": "a65e60048d7785338a0760dede655ef30ca89dc03c3fe824cf652c03ce1b6a09",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--cu4pv8p.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--cu4pv8p.json
new file mode 100644
index 0000000000000000000000000000000000000000..67e82d03ef0afbb125979e6dd1fc7fe56298be04
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--cu4pv8p.json
@@ -0,0 +1,197 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-standard--cu4pv8p",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "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": 73,
+   "sim_steps": 3702,
+   "calls": 363,
+   "rows": 2881,
+   "resets": 50,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 4293.6,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 0.931,
+   "peak_processes": 11,
+   "peak_disk_gb": 3.131,
+   "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-standing-long-jump-i00-standard--cu4pv8p/replay.mp4",
+  "duration_s": 0.76,
+  "fps": 25.0,
+  "frames": 19,
+  "sha256": "60a21abafee9d54861c0965a7a1ac8ad1d1fd790f0cedf80bfec268c1796f3fc"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.4,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.48 s，机器人在白色起跳线后双脚支撑并逐渐屈膝下蹲；视频 0.52–0.68 s 可见短暂腾空和伸腿，身体始终停留在白线附近。"
+     },
+     {
+      "t": 0.72,
+      "log_step": 238,
+      "text_zh": "观察：视频 0.72 s，机器人双脚回到白线附近的红色地面，落点明显位于黄色合格线近侧，未完成越线落地并站稳。log step 237 启动最后一次 reset 后的控制脚本；log step 238 中机器人服务返回 episode=51、control_steps=73、outcome=\"the jump is too short\"、stages_reached=2/3、done=true。该实时裁判结果与视频中的短跳落点一致；此前各次 reset 的尝试不计入本轨迹。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.48 s，机器人双脚在红色地面承重、屈膝蹬地；视频 0.72 s 双脚在白色起跳线附近落地承重。腾空阶段脚离开地面，未见手臂触地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 0.72,
+   "log_step": 238,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.72 s，机器人短暂腾空后以脚落在白线附近，距离黄色合格线仍有明显间隔；log step 238 的最后一次实时尝试（episode=51）由服务内裁判判为“the jump is too short”，尚未进入合格落点上的连续站稳验收。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 0.72,
+    "log_step": 238,
+    "evidence_zh": "观察：视频 0.48–0.72 s，机器人完成很短的腾空与落地，脚落回白色起跳线附近，未跃至黄色合格线；截至视频 0.72 s 未见躯干、膝或手触地。log step 238 的服务裁判同时报告起跳、落地阶段已达 2/3，但跳远距离不足。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 237,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：log step 237 中 agent 的脚本向机器人发送预设下蹲、髋膝蹬伸与空中伸腿控制（push-steps=12、air-steps=4）；视频 0.48–0.72 s 显示实际执行只使机器人在白线附近短暂腾空并落地，log step 238 的服务裁判确认距离不足。所执行的跳跃控制未产生达到黄色合格线的前向运动；证据不足以进一步区分轨迹设计、跟踪或具体参数问题。"
+   }
+  ],
+  "gap_zh": "无状态日志；run.json 的 reward 未报告 mark_m、air_s、rise_m 数值，故原生指标均保留 null。单一侧视录像可确认落点远未到达黄线，但不能精确复核双脚离地时差、骨盆上升量及地面反力；最终控制脚本的日志展示也有截断，无法确定控制子类或归咎于某个参数。"
+ },
+ "summary_zh": "评分轨迹中机器人完成下蹲、短暂腾空和脚落地，但视频 0.72 s 的落点仍在白色起跳线附近，未到黄色合格线，唯一节点“立定跳远站稳”未达成（0/1）。log step 238 的最后一次实时裁判结果为跳远距离不足，失败现象为步态，根因归于控制未产生足够前向运动。缺少状态日志和原生指标实测值，无法进一步确定具体控制子类。",
+ "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、步态现象和控制根因均有 log step 238 的服务裁判结果（too short、stages 2/3、control_steps=73）和视频 0.72 s 的落点支持，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": "2026-10-31T00:37:06Z",
+  "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-standing-long-jump-i00-standard--cu4pv8p/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-standard--cu4pv8p/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "72341d65a669692098685330329a626997ba760931f6239daae920fed5554e3f",
+   "video_sha256": "60a21abafee9d54861c0965a7a1ac8ad1d1fd790f0cedf80bfec268c1796f3fc",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--gyhdwst.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--gyhdwst.json
new file mode 100644
index 0000000000000000000000000000000000000000..1ddefabfaca492afe216150496ac76840d36a0ea
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--gyhdwst.json
@@ -0,0 +1,198 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-standard--gyhdwst",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "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": 187,
+   "sim_steps": 1124,
+   "calls": 15,
+   "rows": 1124,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3966.9,
+   "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": 4.432,
+   "peak_processes": 12,
+   "peak_disk_gb": 0.324,
+   "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-standing-long-jump-i00-standard--gyhdwst/replay.mp4",
+  "duration_s": 1.88,
+  "fps": 25.0,
+  "frames": 47,
+  "sha256": "9e4c6be7631aad15e93c16d5509deb464b1805c351499e0ca785329123b40786"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–1.24 s，机器人在白色起跳线后由直立逐渐下蹲，双脚在红色地面支撑，双臂后摆；视频 1.28–1.52 s 伸腿蹬地并向前离地，已实际尝试跳跃。"
+     },
+     {
+      "t": 1.72,
+      "log_step": 210,
+      "text_zh": "观察：视频 1.60–1.84 s，机器人双脚拖在身体后方，躯干逐渐向前翻至近水平并下坠，仍在黄色合格线近侧，未出现脚承重落地后站稳的过程。log step 210 是最后一次 reset 后提交，服务返回 outcome=\"the landing was not on the feet\"、stages_reached=1/3、resets_left=0；其原生起跳阶段通过不等于 DAG 的完整跳远节点完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.44 s，机器人双脚在红色地面承重下蹲并蹬地起跳；视频 1.52 s 后可见双脚离地，末段向前栽落，未恢复稳定脚支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.72,
+   "log_step": 210,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.60–1.84 s，机器人在跳跃中向前栽倒，双脚落在躯干后方，躯干趋近水平且持续下坠，没有进入脚落地站稳的姿态；log step 210 最后一次提交的服务判词为“the landing was not on the feet”，原生阶段仅达 1/3，此后没有新的运动提交。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.72,
+    "log_step": 210,
+    "evidence_zh": "观察：视频 1.60 s 机器人仍在空中，随后视频 1.72–1.84 s 上身前翻、头部下降，双腿拖在后方，形成向前扑倒姿态，未以脚承重稳住。log step 210 服务最终报告非脚落地，支持这是失衡栽落。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 210 中，agent 的脚本先用 gen.build_rows(gen.P) 生成整段关节命令，再以 lowcmd 一次提交，未依据执行中的全身姿态调整后续动作；视频 1.52–1.84 s 显示离地后双脚持续落后于躯干，机器人未能把身体调整为脚先落地的姿态。结合最后服务的非脚落地判词，归为跳跃与落地衔接的控制失败；现有证据不足以细分为具体轨迹、反馈或参数问题。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "无受评模拟器状态日志。已检查全部 47 帧；最后一帧为视频 1.84 s，可见前扑但不足以确定首次非脚触地的部位和精确时刻，非脚落地结论由 log step 210 的末次服务判词补充。评分器未报告 mark_m、air_s、rise_m 数值；log step 199–205 等本地副本测试不是本次受评状态，不能用其接触、速度或高度数值替代，也不足以确定控制失败的子类。"
+ },
+ "summary_zh": "受评尝试完成下蹲、蹬地和腾空，但视频 1.60–1.84 s 出现向前栽落，未到黄色合格线也未站稳，完整跳远节点为 0/1。最后一次服务提交（log step 210）仅通过原生起跳阶段，因非脚落地判负；预生成动作的起跳与落地姿态衔接未能维持平衡，根因归为控制。缺少受评状态日志和末次触地的清晰帧，不能确定具体非脚接触部位、原生指标数值或控制子类。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "节点未完成、断点（跳跃节点，操作中）、现象平衡与根因控制（子类不明停在控制）均与视频帧和 log step 210/218 的服务判词一致，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": "2026-10-31T00:37:01Z",
+  "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-standing-long-jump-i00-standard--gyhdwst/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-standard--gyhdwst/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "e5a9d357ba48cc361241f49664e310ded3c57d5288805d9715f0990f829ca9a6",
+   "video_sha256": "9e4c6be7631aad15e93c16d5509deb464b1805c351499e0ca785329123b40786",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--p4dymmi.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--p4dymmi.json
new file mode 100644
index 0000000000000000000000000000000000000000..b79e766e5d277fb84eb0462e552a3ddd401a0b64
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--p4dymmi.json
@@ -0,0 +1,199 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-standard--p4dymmi",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "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": 72,
+   "sim_steps": 575,
+   "calls": 39,
+   "rows": 555,
+   "resets": 13,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 7037.0,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 1,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 20.973,
+   "peak_processes": 57,
+   "peak_disk_gb": 0.381,
+   "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-standing-long-jump-i00-standard--p4dymmi/replay.mp4",
+  "duration_s": 0.76,
+  "fps": 25.0,
+  "frames": 19,
+  "sha256": "fcc2f524ca198a1789e810f32c0fb916bc17e506acdb877f8e14bc2fa9287754"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.32,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.44 s，机器人在白色起跳线后由站立转为屈膝下蹲、摆臂和蹬伸，已开始跳跃尝试。"
+     },
+     {
+      "t": 0.72,
+      "log_step": 856,
+      "text_zh": "观察：视频 0.52–0.64 s，机器人双脚离地但仍处于白线后侧；视频 0.72 s，脚重新接地，落点仍在白线后，未越过黄色合格线，也未完成落地后连续站稳。log step 856 为最后一次重置后提交，服务原生裁判返回 done=True、outcome=\"the flight was not a jump\"、stages_reached=0/3；此前各次重置的结果不计入本次节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "机器人双脚在红色地面承重，完成下蹲和蹬伸；腾空后脚在白色起跳线后方重新接地。双臂仅摆动，未见手臂与地面接触。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 0.52,
+   "log_step": 856,
+   "where": "操作中",
+   "evidence_zh": "观察：机器人在视频 0.48–0.64 s 蹬伸腾空后向白色起跳线后侧偏移，视频 0.72 s 脚落回白线后，未完成向前越过黄线并站稳的跳远。log step 856 的最后一次实时提交由服务原生裁判以“the flight was not a jump”终止，阶段为 0/3。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 0.52,
+    "log_step": 856,
+    "evidence_zh": "观察：视频 0.52–0.64 s 机器人短暂腾空，双脚向白线后侧偏移；视频 0.72 s 脚接地仍在白线后，与黄色合格线相隔明显距离，未见身体其他部位着地或翻倒。log step 856 的裁判结果为“the flight was not a jump”，并非有效跳跃后站稳。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "t": 0.52,
+    "log_step": 855,
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：agent 的目标是向前起跳并站稳，但其关节轨迹未产生所需的有效跳跃。log step 785 的控制脚本以三次样条生成按时序提交的关节目标；log step 846 恢复零速度目标、零前馈力矩的增益调度，log step 855 调整下蹲与蹬伸关键帧后，log step 856 提交即被裁判以“the flight was not a jump”判负。视频 0.52–0.72 s 显示实际腾空、后移并在白线后落脚；这些证据支持控制失败，但不足以确定是哪一个关节参数、轨迹跟踪或反馈环节导致。"
+   }
+  ],
+  "gap_zh": "无状态日志，25 帧/秒单一场外视角不足以精确复核两脚离地时差、离地瞬间骨盆高度及其后上升量；裁判在 log step 856 给出“the flight was not a jump”，但未报告 mark_m、air_s、rise_m 数值，故三项原生指标保留 null。根因只能确定到控制层，无法进一步区分具体参数与跟踪问题。"
+ },
+ "summary_zh": "本次评分尝试完成下蹲、摆臂和短暂腾空，随后在白色起跳线后方落脚，立定跳远站稳节点始终未达成，最终为 0/1。最后一次实时提交的原生裁判返回“the flight was not a jump”（log step 856）；视频显示未形成向前越线的有效跳跃，现象为步态失败，根因保留在控制层。无状态日志和原生成绩数值，不能精确复核离地时序、骨盆上升量或细分控制原因。",
+ "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、断点、步态现象与控制根因均与视频及 log step 856 的原生裁判结果一致；视频 0.52–0.72 s 可见腾空、身体前倾、脚落在白线附近或后侧，未越黄线，无跌倒。",
+    "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": "2026-10-31T00:40:36Z",
+  "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-standing-long-jump-i00-standard--p4dymmi/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-standard--p4dymmi/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "b47470877f914fbc590a1d07fd63c29e09d287e9992daf7173066beeb82f1705",
+   "video_sha256": "fcc2f524ca198a1789e810f32c0fb916bc17e506acdb877f8e14bc2fa9287754",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--rba5axk.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--rba5axk.json
new file mode 100644
index 0000000000000000000000000000000000000000..4be8efff2b3ea0c82682b74a5533f20eff455b1c
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--rba5axk.json
@@ -0,0 +1,203 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-standard--rba5axk",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "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": 113,
+   "sim_steps": 571,
+   "calls": 36,
+   "rows": 571,
+   "resets": 4,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2774.6,
+   "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,
+   "peak_memory_gb": 2.569,
+   "peak_processes": 15,
+   "peak_disk_gb": 1.718,
+   "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-standing-long-jump-i00-standard--rba5axk/replay.mp4",
+  "duration_s": 1.16,
+  "fps": 25.0,
+  "frames": 29,
+  "sha256": "34949c2e1b0cb91f71f477c9bf9414fe19a8de2e498aa78f0a8a967cac0a61aa"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.4,
+      "log_step": null,
+      "text_zh": "观察：逐帧查看视频 0.00–1.12 s；机器人起初站在白色起跳线后，视频约 0.36–0.60 s 下蹲摆臂，随后伸腿蹬地并向前腾空，确实尝试了立定跳远。"
+     },
+     {
+      "t": 1.12,
+      "log_step": 229,
+      "text_zh": "观察：视频 1.00、1.04、1.08、1.12 s 中机器人屈髋收腿进入落地末段，双脚仍在白线与黄色合格线之间，未到黄线远侧；末帧无手、膝或躯干着地。log step 229 的最终实时尝试由机器人服务返回 outcome=the jump is too short、stages=2/3、episode=5、control_steps=113；log step 232 确认该局已结束。服务阶段只表示连续跳跃的部分过程，不等于完整节点完成。"
+     },
+     {
+      "t": 1.12,
+      "log_step": null,
+      "text_zh": "推断：本次落点没有越过黄色合格线，故完整“立定跳远站稳”节点从未成立。另已查看成功示例视频 0.00–3.40 s（约每 0.20 s 一帧）：示例在黄线远侧落地并继续调整至站稳；该示例仅用于辨认验收外观，不作为本次进度证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.68 s 机器人双脚与红色地面承重接触并蹬地，随后腾空；视频 1.12 s 为双脚落地末段，log step 229 的原生服务裁判确认已进入落地阶段。双臂仅摆动，未见接触地面或其他物体。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.12,
+   "log_step": 229,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.00–1.12 s，机器人向前跳后的双脚落点仍在黄色合格线近侧；log step 229 最后一次实时尝试的机器人服务裁判报“the jump is too short”，阶段 2/3，随后结束该局。失败发生在这次跳跃落地时，未完成完整跳跃站稳节点。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 1.12,
+    "log_step": 229,
+    "evidence_zh": "观察：视频 0.68–1.12 s 机器人蹬地腾空后向前移出，但落地末段双脚仍明显短于黄色合格线，视频内未见翻倒；log step 229 的原生裁判同样报跳远距离不足。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志",
+    "evidence_zh": "推断：log step 187 的运行脚本按时间发送关节位置关键帧，依次执行下蹲、伸展、收腿和落地；log step 229 恢复该类关键帧轨迹并再次实际执行，服务仍报跳远距离不足，与视频 0.68–1.12 s 的短距离前跃相符。目标和动作顺序明确，但实际产生的跳跃位移不足，因此归为控制能力问题；缺乏本次速度、接触力与跟踪误差数据，不能进一步确定是轨迹、反馈还是具体参数的问题。"
+   }
+  ],
+  "gap_zh": "未提供状态日志；25 fps 单一场外视角不足以精确复核双脚离地时差、首次接触时刻、骨盆上升量和速度。run.json 的 reward 未报告 mark_m、air_s、rise_m，三项原生指标均留 null；log step 229 中 mark=0.912、flight=0.45、rise=0.09 来自 agent 自建离线模拟，不是最终实时尝试的裁判测量值。最后一帧为视频 1.12 s，落地的精确瞬间以 log step 229 服务裁判反馈补充，断点时间仅为近似导航锚点；控制根因无法细分。",
+  "unmet": {
+   "standing_long_jump_completed": false
+  }
+ },
+ "summary_zh": "最终受评的是 log step 229 执行的第 5 次实时尝试：机器人下蹲、双脚蹬地并前跃，但视频约 1.12 s 的落地末段双脚仍在黄色合格线近侧，裁判报跳远距离不足，完整节点完成 0/1。失败现象为全身·步态，结合关节关键帧控制脚本，根因归为控制；此前其他尝试的跌倒不计入本次现象。无状态日志和本次裁判的精确距离、腾空时间、上升量，不能用离线模拟数字替代。",
+ "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、断点为立定跳远站稳（操作中）、现象全身·步态、根因控制，均与视频（视频 0.36–1.12 s 蹬地腾空后在黄线近侧屈膝落地）以及 log step 229 的服务裁判读数（too short，2/3，control_steps=113 ≈ 视频 1.13 s）一致；未发现需修改的内容。",
+    "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": "2026-10-31T00:39:08Z",
+  "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-standing-long-jump-i00-standard--rba5axk/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-standard--rba5axk/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "70a43a82f90b7374ccb1d1f04bb1f0322f39f646570f887092e5033a7fe76cc0",
+   "video_sha256": "34949c2e1b0cb91f71f477c9bf9414fe19a8de2e498aa78f0a8a967cac0a61aa",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--tcskwr5.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--tcskwr5.json
new file mode 100644
index 0000000000000000000000000000000000000000..96b7d9fee48fdb9046bf6e8e17e7d6c2074c4b4c
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--tcskwr5.json
@@ -0,0 +1,202 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-standard--tcskwr5",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "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": 171,
+   "sim_steps": 2235,
+   "calls": 396,
+   "rows": 2235,
+   "resets": 16,
+   "reset_budget": 50,
+   "sim_startups": 1,
+   "elapsed_s": 5004.7,
+   "video_rendered": 1,
+   "resource_enforced": 0,
+   "limits_violation_observed": 0,
+   "resource_monitor_missing": 0,
+   "peak_gpu_memory_gb": 0,
+   "peak_memory_gb": 3.294,
+   "peak_processes": 15,
+   "peak_disk_gb": 0.369,
+   "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-standing-long-jump-i00-standard--tcskwr5/replay.mp4",
+  "duration_s": 1.72,
+  "fps": 25.0,
+  "frames": 43,
+  "sha256": "96562aab106d0ec9fe0e69e469d4d48829ce6933f8a46edc97132ab0dd05869f"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.84,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.56 s，机器人在白色起跳线后站立；视频 0.64–1.12 s，机器人屈髋屈膝下蹲、摆臂并蹬地，视频约 1.20–1.56 s 腾空向黄色线方向前移，确实尝试了跳跃。"
+     },
+     {
+      "t": 1.68,
+      "log_step": 148,
+      "text_zh": "观察：视频 1.48–1.68 s，机器人在下降落地阶段双腿向前伸出，躯干后仰，骨盆持续降低，末帧呈后倒姿态，未出现落地后直立站稳的过程。log step 148 是最后一次重置后的实时尝试，服务返回 jump chunk done: True fell 0；run.json 的评分器字段 live_success=0、graded_by_live=1 与视频一致。"
+     },
+     {
+      "t": null,
+      "log_step": 148,
+      "text_zh": "观察：log step 148 输出的 mark=1.3602468309273372、rise=0.29138961156644216、lift=0.67、land=1.19 位于 local: 行，是 agent 本地仿真的预测；该行之后的服务返回为 fell，不能用本地预测代替本次评分视频的跳远成绩或达标事件。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.12 s，机器人的双脚接触红色地面承重，下蹲并蹬地起跳；随后腾空前移，末段双腿前伸、骨盆下沉。该接触来自本次实际起跳支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.6,
+   "log_step": 148,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.60–1.68 s，机器人仍在完成前跃后的落地动作，但双腿伸向前方、上身后仰且骨盆迅速下沉，没有恢复直立支撑；log step 148 的最后一次实时尝试由服务以 fell 结束，此后没有重置或修复动作。立定跳远站稳节点因此未完成。"
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "平衡",
+    "t": 1.6,
+    "log_step": 148,
+    "evidence_zh": "观察：视频 1.48–1.68 s，机器人下降时脚伸到身体前方、躯干逐渐后仰，髋部降向地面，末帧仍在后倒，未能落地站稳；log step 148 的服务返回明确报告 fell。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 148,
+    "evidence_zh": "推断：log step 77、105 的 gen.py 代码将本地仿真生成的关节目标、增益及力矩行一次性通过 lowcmd 提交，跳跃阶段不根据实时机体状态重算轨迹；仅在该段执行后且服务尚未终止时才切换 walk 恢复。log step 141 将切换时刻设为本地预测落地时刻加 DSW；log step 148 使用 DSW=0.05 执行最后一次尝试，却在跳跃段返回 done=True、fell。结合视频 1.48–1.68 s 的后仰下坠，说明这套跳跃控制未能在下降落地阶段维持姿态和支撑，恢复控制未及介入；现有证据不足以确定具体增益、关节目标或模型差异中的哪一项造成失稳。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "没有 inputs/states.jsonl 或可复核的裁判状态轨迹；25 帧/秒的单场外视角不能精确确认双脚离地时差、首次足底触地时刻、骨盆高度及速度，也不能区分服务的 fell 是由骨盆低于阈值还是非脚部接触触发。评分器 reward 未报告 mark_m、air_s、rise_m，故三项指标均为 null；log step 148 的 local 数值仅属本地仿真。控制归因保留在大类，无法可靠细分到具体参数或反馈环节。",
+  "unmet": {
+   "standing_long_jump_completed": false
+  }
+ },
+ "summary_zh": "本次评分尝试中，机器人从白线后下蹲蹬地并向前腾空，但在视频约 1.60–1.68 s 的落地阶段后仰下坠，未能站稳，立定跳远站稳节点最终为 0/1。最后一次服务返回 fell，与视频一致；日志表明跳跃采用本地仿真生成的整段控制输入，尚未切换恢复控制便已终止，根因归为控制。缺少状态日志和原生距离、腾空时长、上升高度指标，无法精确复核触地时序或细分控制失稳原因。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "视频 0–1.72 s 与标签一致：机器人下蹲蹬地腾空，约 1.5–1.72 s 落地阶段双腿前伸、后仰下坠，节点未达成；断点、平衡现象与控制根因有日志和视频支撑。",
+    "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": "2026-10-31T00:37:28Z",
+  "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-standing-long-jump-i00-standard--tcskwr5/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-standard--tcskwr5/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "be9e5a953b99cd156d510368e5f95dda3c359b131706bfecd36a2ec8ef090aca",
+   "video_sha256": "96562aab106d0ec9fe0e69e469d4d48829ce6933f8a46edc97132ab0dd05869f",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--ugapnnf.json b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--ugapnnf.json
new file mode 100644
index 0000000000000000000000000000000000000000..bcf116cf7245bbac85da75bcba935da164302776
--- /dev/null
+++ b/phase2/embodied-olympics-fun/standing_long_jump/trajectories/embodied-olympics-fun-standing-long-jump-i00-standard--ugapnnf.json
@@ -0,0 +1,198 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-standing-long-jump-i00-standard--ugapnnf",
+ "taskKey": "embodied-olympics-fun/standing_long_jump",
+ "dag_sha256": "2d039bd85a35a257f1b909391d7b8f24129d9162d705f51bd3207cbeea156c33",
+ "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": 156,
+   "sim_steps": 945,
+   "calls": 12,
+   "rows": 945,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 7081.0,
+   "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,
+   "peak_memory_gb": 3.808,
+   "peak_processes": 14,
+   "peak_disk_gb": 2.577,
+   "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-standing-long-jump-i00-standard--ugapnnf/replay.mp4",
+  "duration_s": 1.6,
+  "fps": 25.0,
+  "frames": 40,
+  "sha256": "52c9fff95106f3a6a8a3a2451f99870581ea74f75c9b71914a8feae03a9f0f8c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "standing_long_jump_completed": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.8,
+      "log_step": null,
+      "text_zh": "观察：已检查视频 0.00–1.56 s 的全部 40 帧；机器人先在白色起跳线后站立，视频约 0.64–1.04 s 屈膝下蹲，再伸腿蹬地向前跃起。初始站立不满足完整跳跃节点。"
+     },
+     {
+      "t": 1.56,
+      "log_step": 210,
+      "text_zh": "观察：视频 1.20–1.48 s 机器人腾空向前，视频 1.52–1.56 s 双脚下降至地面，脚后部仍在黄色合格线近侧，未出现越线后连续站稳的完成状态；log step 210 最后一次实时尝试为 episode=6、control_steps=156、done=True，服务裁判结果为“the jump is too short”。该记录与本视频落点一致，早先五次尝试不计入本次进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–1.16 s 机器人双脚支撑红色地面并蹬地，随后腾空；视频 1.52–1.56 s 双脚落回地面承重，未见手或躯干触地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "mark_m",
+   "unit": "m",
+   "threshold": 1.32,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "air_s",
+   "unit": "s",
+   "threshold": 0.1,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "rise_m",
+   "unit": "m",
+   "threshold": 0.05,
+   "direction": "higher_better",
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "standing_long_jump_completed",
+   "t": 1.56,
+   "log_step": 210,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 1.52–1.56 s 机器人向前跳跃后以脚着地，脚后部仍在黄色合格线靠白线一侧；log step 210 的最后一次实时尝试明确返回“the jump is too short”并结束。失败发生在跳跃落地环节，完整的越线落地并站稳节点未达成。"
+  },
+  "unmet": {
+   "standing_long_jump_completed": false
+  },
+  "phenomena": [
+   {
+    "cat": "全身",
+    "item": "步态",
+    "t": 1.56,
+    "log_step": 210,
+    "evidence_zh": "观察：视频 1.20–1.56 s 机器人确实向前腾空并以脚落地，但落脚位置未整体越过黄色合格线，直到最后一帧未见跌倒；log step 210 服务裁判判为跳跃过短。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "source_zh": "日志 / 视频",
+    "evidence_zh": "推断：agent 的跳跃控制未产生足够的前向位移。log step 138 的 gen.py 将预先生成的 lowcmd 关节目标、速度、前馈力矩和增益按 dt=0.01、interpolate=hold 成批提交；log step 210 换入 blend0.22+stab 参数后执行该驱动，服务仍判跳跃过短，与视频 1.52–1.56 s 的近侧落脚一致。会话诊断 log step 165 还记录早先同目标指令下在线与自建离线模型的关节速度和力矩存在差异，说明离线优化结果未可靠转化为实际跳远表现；不足以确定具体控制子类。"
+   }
+  ],
+  "gap_zh": "无状态日志；评分字段及 log step 210 的最终服务结果未报告 mark_m、air_s、rise_m 的具体数值，故原生指标留 null，不能用早先尝试或 agent 自建离线模型的成绩替代。录像不足以精确复核毫秒级接触和起跳时差；agent 在 log step 209、212 将差异解释为电机高速降额，该具体机理尚待核实。"
+ },
+ "summary_zh": "本次评分是最后一次实时尝试：机器人完成下蹲、蹬地和前跃，但视频 1.52–1.56 s 落脚仍在黄色合格线近侧，唯一的“立定跳远站稳”节点未完成，最终为 0/1。log step 210 的服务裁判明确判跳跃过短，失败现象为步态，根因归为控制。缺少状态日志和原生指标数值，不能进一步确认具体动力学误差或电机降额机理。",
+ "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：最后一次实时尝试（log step 210，control_steps=156，服务判 the jump is too short）落脚仍在黄线近侧，节点未达成；断点、步态现象、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": "2026-10-31T00:48:21Z",
+  "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-standing-long-jump-i00-standard--ugapnnf/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-standing-long-jump-i00-standard--ugapnnf/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "faa06391db5b17ee53c3058554139c74fe0fa4d38f204d67e723641fd0bbeae3",
+   "video_sha256": "52c9fff95106f3a6a8a3a2451f99870581ea74f75c9b71914a8feae03a9f0f8c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--bemfcbm.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--bemfcbm.json
new file mode 100644
index 0000000000000000000000000000000000000000..a7c30505588382a0b7dc9be4aeafc025a35ce5f3
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--bemfcbm.json
@@ -0,0 +1,210 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--bemfcbm",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 222,
+   "sim_steps": 222,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 3.1,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.072,
+   "metric_landing_x_m": 12.817,
+   "metric_landing_y_m": -1.575,
+   "metric_speed_in_m_s": 2.94,
+   "metric_speed_out_m_s": 13.16,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 16,
+   "agent_resets": 22,
+   "agent_replays": 4,
+   "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": 0.496,
+   "peak_processes": 9,
+   "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-volleyball-serve-i00-privileged--bemfcbm/replay.mp4",
+  "duration_s": 2.24,
+  "fps": 25.0,
+  "frames": 56,
+  "sha256": "c9bc2c9be271dad88c508649880b02864424fb111310ecca7042dbef1f2f2535"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.2,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.08,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–0.12 s，机器人在近端端线后站立，球从左掌附近上升；视频0.16–0.60 s，左臂回摆后向前挥动，球在身体前侧下落。"
+     },
+     {
+      "t": 0.68,
+      "log_step": 18,
+      "text_zh": "观察：视频0.64–0.80 s，机器人左臂向前上方挥出，排球离开机器人并快速升高，双脚继续着地支撑。log step 18打印的是log step 17对已保存交付文件重放所得的裁判事件，击球涉及left_forearm、left_hand、left_upper_arm，入球速率2.94米/秒、出球速率13.16米/秒；这些是同一左侧手臂的接触，不是双臂协作。"
+     },
+     {
+      "t": 1.72,
+      "log_step": null,
+      "text_zh": "观察：视频1.64–1.80 s，球从球网上沿以上向远端半场飞行，随后持续下降；机器人仍在服务区站立。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 17,
+      "text_zh": "观察：视频2.00–2.20 s，球下降到远端橙色半场地面附近，末帧落点投影在对方边界内，机器人未跌倒。log step 17记录交付文件两次重放均success=true、failed=null，四个裁判阶段全部完成且终态哈希相同；inputs/run.json评分字段同样为replay_success=1、deterministic=1、stages_reached=4，落点x=12.817米、y=-1.575米。"
+     },
+     {
+      "t": 2.2,
+      "log_step": 18,
+      "text_zh": "推断：视频末段的下降落点与交付重放裁判的首次场内落地成功结果一致，因此将发球入对场事件锁存在约视频2.20 s。远景25帧/秒不能精确分辨首次触地的物理瞬间，此处时间为末段画面锚点；log step 18所列成功时刻为仿真2.215 s，未将其直接当作视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "候选方式“击打”：视频0.64–0.80 s机器人左臂直接将排球击出；log step 18交付重放裁判记录接触左前臂、左手和左上臂。击打不属于抓握、推/扫或压/擦，故用其他。此前视频0.00–0.12 s左掌托球起球（托/舀），与击打先后发生，合并在此说明。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "视频0.00–2.20 s，机器人双脚接触服务区地面，为起球、左臂挥击及随挥提供站立支撑。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 2.94
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 13.16
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 12.817
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": -1.575
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.072
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成左掌起球、左侧手臂击球、越网及对方场内首次落地，唯一节点“发球入对场”约在视频2.20 s达到并保持，最终1/1。评分器及交付文件的两次重放均确认成功，出球速率13.16米/秒，落点为x=12.817米、y=-1.575米，无失败断点。无逐帧状态日志，远景视频不能独立核验短时离体、接触跨度及精确触地瞬间，这些合法性细节依赖交付重放的裁判结果。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一节点 serve_in_court 在视频约2.20 s达成并保持，与log step 17/18的交付重放（sim 2.215 s，视频总长2.24 s）及评分字段一致；接触与DAG和事件记录相符，无失败断点，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": "2026-10-31T00:33:07Z",
+  "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-volleyball-serve-i00-privileged--bemfcbm/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--bemfcbm/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "049cc8ca88359a70d7e429ff2f5a0539a65eec3f4a8a20821157387d7dc888ed",
+   "video_sha256": "c9bc2c9be271dad88c508649880b02864424fb111310ecca7042dbef1f2f2535",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--dtq2urh.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--dtq2urh.json
new file mode 100644
index 0000000000000000000000000000000000000000..b04ac0332ebdb9fff599314c1243e7ec4582196e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--dtq2urh.json
@@ -0,0 +1,203 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--dtq2urh",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 212,
+   "sim_steps": 212,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 2.85,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.073,
+   "metric_landing_x_m": 14.005,
+   "metric_landing_y_m": 0.374,
+   "metric_speed_in_m_s": 1.8,
+   "metric_speed_out_m_s": 12.9,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 25,
+   "agent_resets": 6632,
+   "agent_replays": 11,
+   "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-volleyball-serve-i00-privileged--dtq2urh/replay.mp4",
+  "duration_s": 2.16,
+  "fps": 25.0,
+  "frames": 54,
+  "sha256": "b84abd352d970815efa3aaae09c741e872c8c75b6f2b2a4087cd4501f5a766ea"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.12,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.24,
+      "log_step": 215,
+      "text_zh": "观察：视频0.00–0.20 s中排球在机器人前方左掌附近，视频0.24–0.32 s中机器人左臂向前上方挥动，排球离开手臂并快速飞出；机器人双脚留在近端白色端线后的蓝色地面。log step 215中最终生成轨迹的模拟裁判事件记录击球部位为left_hand（左手），击前离体0.184秒、入射速率1.8米/秒、出射速率12.9米/秒。"
+     },
+     {
+      "t": 1.4,
+      "log_step": null,
+      "text_zh": "观察：视频0.32–1.60 s的连续帧中，排球沿高弧线飞向球网及远端，越网附近球高于白色网顶；机器人留在发球位置，未出现跪地、倒地或手臂撑地。"
+     },
+     {
+      "t": 2.12,
+      "log_step": null,
+      "text_zh": "观察：视频1.84–2.12 s逐帧可见排球向远端橙色半场下降，视频2.08 s尚在下降，视频2.12 s球到达对方半场地面，位置在边线与端线内；以视频2.12 s作为发球入对场的达成时刻，时间精度受25帧/秒限制。"
+     },
+     {
+      "t": 2.12,
+      "log_step": 215,
+      "text_zh": "观察：inputs/run.json的评分器字段success=1、replay_success=1、deterministic=1、stages_reached=stages_total=4、fell=0，落点指标为(14.005, 0.374)米。log step 215记录最终文件212行、两次独立重放成功且终态哈希相同；log step 227再次确认清理后生成文件逐字节一致。推断：上述记录对应本次交付，结合视频末帧的场内落地，发球入对场节点达成并锁存；录像无法独立分辨的短时离体及接触跨度由裁判成功结果支持，未将agent会话中的其他试验计入进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "观察：视频0.00–0.32 s中，机器人左掌先在球下方承托，随后左臂挥动将球击出；log step 215的最终轨迹裁判记录触球部位为左手。候选方式“击打”：开放掌垫击排球，不存在合手夹紧，抓握、推/扫均不能准确描述此次短促击球；此前的承托与击打先后发生。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–2.12 s中，机器人双脚持续在近端服务区地面支撑身体，配合左臂发球；未见起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 1.8
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 12.9
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 14.005
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 0.374
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.073
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成唯一节点“发球入对场”：左掌释球后以左手击出，球越网并于视频约2.12 s首次落在对方场内，最终进度1/1；评分器确认四阶段全部达成、两次重放成功且未跌倒。实际接触为左手击球及双脚地面支撑，初始左掌承托与击球先后发生。无逐帧状态日志，远景25帧/秒录像无法独立核验毫秒级离体及接触跨度，合法性细节依据本次评分器结果及log step 215的最终交付验证记录。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "单节点成功运行：视频约2.12 s落点入对场与log step 215的裁判事件（in the court t=2.116 s、left_hand击球、success）一致，final=true、接触标注、时钟标注均无误；failure为null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": "2026-10-31T00:33:00Z",
+  "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-volleyball-serve-i00-privileged--dtq2urh/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--dtq2urh/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f25b0a199d7467439b2ccaf26a6c9662b560b314faf8afdbf635971b61c42e0d",
+   "video_sha256": "b84abd352d970815efa3aaae09c741e872c8c75b6f2b2a4087cd4501f5a766ea",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--dvnf8oe.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--dvnf8oe.json
new file mode 100644
index 0000000000000000000000000000000000000000..435780817fba252251be16e6167c2c731a844d39
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--dvnf8oe.json
@@ -0,0 +1,210 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--dvnf8oe",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 324,
+   "sim_steps": 324,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 3.17,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.08,
+   "metric_landing_x_m": 14.006,
+   "metric_landing_y_m": 0.016,
+   "metric_speed_in_m_s": 3.94,
+   "metric_speed_out_m_s": 13.89,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 275,
+   "agent_resets": 6931,
+   "agent_replays": 23,
+   "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": 1.152,
+   "peak_processes": 13,
+   "peak_disk_gb": 0.847,
+   "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-volleyball-serve-i00-privileged--dvnf8oe/replay.mp4",
+  "duration_s": 3.28,
+  "fps": 25.0,
+  "frames": 82,
+  "sha256": "6e2ef8f4c6c941ad9c6a13dc6d27c6b0107088f2bd4d07bd9a3986804079ed17"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.24,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.16,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.16 s，机器人在近端端线后站立，原在张开手掌上方的排球向上离开；视频 0.20–0.92 s 可连续看到球先上升再下落，机器人双脚保持地面支撑。"
+     },
+     {
+      "t": 1.04,
+      "log_step": 520,
+      "text_zh": "观察：视频 1.00–1.08 s，机器人单臂向上挥动迎向下落的排球，随后球明显加速向前上方飞离；log step 520 的候选裁判事件记录击球部位为 left_hand，入射速率 3.94 m/s、离球速率 13.89 m/s。该候选的落点、324 步长度和终态哈希与 log step 594 的最终交付重放一致；手掌很小，具体左右侧结合该记录辨认。"
+     },
+     {
+      "t": 2.36,
+      "log_step": null,
+      "text_zh": "观察：视频 1.12–2.36 s，球从机器人前上方沿高弧线向远端飞行，视频约 2.36 s 在球网两杆之间的上方通过；视频 2.40–3.20 s 球继续向远端橙色半场下降，期间机器人仍直立，未出现再次触球。"
+     },
+     {
+      "t": 3.24,
+      "log_step": 594,
+      "text_zh": "观察：视频 3.16–3.24 s，排球下降至远端橙色半场内部，最后一帧贴近地面，之前的连续帧未见触地；首次落地完成时刻取视频约 3.24 s。inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=4/4、fell=0，落点 x=14.006 m、y=0.016 m；log step 593–594 对最终交付文件的两次独立裁判重放均报告成功、324 步且终态哈希一致。"
+     },
+     {
+      "t": 3.24,
+      "log_step": null,
+      "text_zh": "推断：本次录像的起球、单臂击出、球从网上飞至对场及场内首次落地与评分器成功结果一致，因此发球入对场节点在视频约 3.24 s 达成并锁存。25 fps 远景无法逐项量出 0.03 s 离体确认、0.10 s 接触跨度等细节，合法性采用评分器确认；oracle 录像仅用于对照同机位的越网和场内落地外观，不作为本次接触或完成的证据。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "候选接触方式“击打”：视频约 1.04 s，机器人一只张开手掌向上迎球后将排球击出；log step 520 的同一最终候选裁判记录确认 left_hand。该左掌先在视频 0.00–0.16 s 从下方承托并起球（托/舀），随后同侧手掌击打，两种接触先后发生；不是合手夹持，现有接触词表无击打值，故用其他。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–3.24 s，机器人双脚接触服务区地面，支撑身体完成起球、挥臂和击球后的站立；未见跳起或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 3.94
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 13.89
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 14.006
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 0.016
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.08
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人从端线后以左掌起球，再用同侧手掌击出，排球越网后于视频约 3.24 s 首次落在对方场内，完成唯一节点（1/1），无失败断点。评分器确认四个验收阶段全部通过，最终交付的两次独立重放成功且终态哈希一致，落点为 x=14.006 m、y=0.016 m。没有逐帧状态日志，25 fps 远景无法独立核验全部短时触球阈值及细小接触部位，这些细节结合裁判结果确认。",
+ "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 serve_in_court 在视频约 3.24 s 达成，与评分器 success=1、stages 4/4、落点 x=14.006 m 一致；接触标注（其他·击打 + 腿/躯干支撑）与 DAG 约定相符，无失败断点，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": "2026-10-31T00:36:27Z",
+  "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-volleyball-serve-i00-privileged--dvnf8oe/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--dvnf8oe/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "5e761aae1751ebe010afd0455cf48cce8779d71a65c8b0fec56dd64dc260d5b0",
+   "video_sha256": "6e2ef8f4c6c941ad9c6a13dc6d27c6b0107088f2bd4d07bd9a3986804079ed17",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--fkrtqfr.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--fkrtqfr.json
new file mode 100644
index 0000000000000000000000000000000000000000..460517699c211e2f2e270471c0490fbc67666431
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--fkrtqfr.json
@@ -0,0 +1,205 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--fkrtqfr",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 330,
+   "sim_steps": 330,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 4.19,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.073,
+   "metric_landing_x_m": 11.196,
+   "metric_landing_y_m": -0.739,
+   "metric_speed_in_m_s": 2.62,
+   "metric_speed_out_m_s": 11.47,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 419,
+   "agent_resets": 5,
+   "agent_replays": 4,
+   "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": 2.714,
+   "peak_processes": 10,
+   "peak_disk_gb": 0.244,
+   "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-volleyball-serve-i00-privileged--fkrtqfr/replay.mp4",
+  "duration_s": 3.32,
+  "fps": 25.0,
+  "frames": 83,
+  "sha256": "cf20fb3d263725094e2887fded2e5697aae37aca33af6f606c67fb46f07ac3e5"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      3.28,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.6,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–0.56 s，机器人站在近端端线后的蓝色服务区，球位于左侧朝上的掌垫上；视频0.60–0.84 s左臂抬起后球向上离掌，随后左臂回撤，双脚继续着地支撑。"
+     },
+     {
+      "t": 1.16,
+      "log_step": 120,
+      "text_zh": "观察：视频1.08–1.16 s球回落到机器人左臂附近，左臂向前上方挥动，视频1.20–1.40 s球已离开机器人并快速飞向球网，右臂未参与击球。log step 120中，对所交付轨迹的基准重放工具输出裁判事件：hit的parts仅为left_hand，speed_in=2.62、speed_out=11.47，free_s=0.564；此处工具是仿真重放验收程序，并非agent自述。"
+     },
+     {
+      "t": 2.96,
+      "log_step": null,
+      "text_zh": "观察：视频2.80–3.04 s，球从球网白色上沿上方飞越，处于两根标志杆之间，随后向远端橙色半场下降；机器人仍在服务区直立。"
+     },
+     {
+      "t": 3.28,
+      "log_step": 129,
+      "text_zh": "推断：视频3.08–3.28 s球在对方橙色半场内持续下降，末帧球已贴近场面；结合评分器success=1、replay_success=1、stages_reached=4/4及落点(11.196, -0.739)米，将首次合法落地记为约视频3.28 s（片尾锚点，时刻不确定约0.1秒）。log step 123重新生成并重放最终330行交付轨迹获得success=True，log step 129再次重放成功且终态哈希相同，支持该节点最终成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "观察：视频0.48–0.84 s左掌先从下方托球起球（托/舀），视频1.12–1.20 s同侧手臂挥动击球后球飞离；log step 120裁判触球部位为left_hand。主接触候选名称“击打”：词表无对应方式，故用其他；起球与击球先后发生，不标抓握或双臂协作。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–3.28 s机器人双脚在端线后的服务区地面承重支撑，配合左臂起球和击球，未见跳起或倒地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 2.62
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 11.47
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 11.196
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": -0.739
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.073
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人以左掌起球、同侧手臂击球，排球越网后于约视频3.28 s在对方场内首次落地，完成唯一节点“发球入对场”（1/1），评分器确认四阶段全部通过且重复重放成功。无失败断点；无逐帧状态日志，远景25帧/秒视频不能独立核验毫秒级离体和接触跨度，合法触球及片尾首次落地结合最终交付轨迹的裁判验收结果确认，落地时间为近似锚点。",
+ "conf": 9,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "单节点serve_in_court，评分器success=1、stages 4/4、落点(11.196,-0.739)米支持final=true；3.28 s为片尾锚点，合理。接触标注（左手其他/击打、腿躯干支撑）符合S16。画面过远（640x360，球仅数像素），我无法逐帧独立核验球的细节，未发现与标签矛盾之处。",
+    "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": "2026-10-31T00:34:35Z",
+  "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-volleyball-serve-i00-privileged--fkrtqfr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--fkrtqfr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "3ea48eee301de506d445db914fef513a7b553bcf98821d4f9ab8388bdc64e9c7",
+   "video_sha256": "cf20fb3d263725094e2887fded2e5697aae37aca33af6f606c67fb46f07ac3e5",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--jdqqqgz.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--jdqqqgz.json
new file mode 100644
index 0000000000000000000000000000000000000000..9516dc6ee2fc920cb7df319f305c2ddd16b7f272
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--jdqqqgz.json
@@ -0,0 +1,205 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--jdqqqgz",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 276,
+   "sim_steps": 276,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 3.31,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.083,
+   "metric_landing_x_m": 13.412,
+   "metric_landing_y_m": -0.385,
+   "metric_speed_in_m_s": 2.49,
+   "metric_speed_out_m_s": 14.9,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 714,
+   "agent_resets": 3516,
+   "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": 15.383,
+   "peak_processes": 16,
+   "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-volleyball-serve-i00-privileged--jdqqqgz/replay.mp4",
+  "duration_s": 2.8,
+  "fps": 25.0,
+  "frames": 70,
+  "sha256": "a9b27aa06447a0a2ceec98cf1e0a5d7098e3fe1d5262042f97a6b2d035fada82"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.76,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00–0.44 s，机器人站在近端端线外，左掌在球下方承托；视频 0.60–0.72 s 左臂收回，球离开原托举位置，视频 0.76–0.84 s 左臂向前上方挥动后球迅速向场内升高，右臂没有随球挥击。"
+     },
+     {
+      "t": 2.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.88–1.80 s，球沿高弧线向远端飞行；视频 1.96–2.08 s，球位于球网上方并继续飞向远端橙色半场，机器人仍由双脚支撑站立。"
+     },
+     {
+      "t": 2.76,
+      "log_step": null,
+      "text_zh": "观察：视频 2.40–2.76 s 逐帧可见球向远端橙色半场下降，视频 2.76 s 球到达该半场地面附近，落点明显位于边界以内；inputs/run.json 的评分器字段为 success=1、replay_success=1、deterministic=1、stages_reached=4/4、fell=0，落点为 (13.412, -0.385) 米。"
+     },
+     {
+      "t": 2.76,
+      "log_step": 117,
+      "text_zh": "推断：将“发球入对场”首次达成时刻标为视频约 2.76 s（末帧首次落地，精度约 0.1 s）。log step 105 保存的最终版本为 276 行；log step 106–107、117 对该交付文件的独立重放均成功，落点及速度与本次评分器字段一致，故采用本次完整成功判定确认录像不能量出的离体和击球接触时限；没有把此前会话测试的阶段或时间当成本次进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.84 s，机器人先以开放左掌从下方托住排球（托/舀），撤掌释放后再由同侧手掌/手臂挥击，将球击向对场；两种接触依次发生。候选方式“击打”：现有接触方式无击打项，不能用抓握或推/扫替代；远景不能分辨击球瞬间具体接触在掌垫还是腕部。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.76 s，机器人双脚在近端端线外地面承重，发球挥臂及球飞行期间持续站立，没有起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 2.49
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 14.9
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 13.412
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": -0.385
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.083
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人完成“发球入对场”1/1：先撤开托球的左掌释放排球，再由左臂挥击，球越网后在视频约 2.76 s 首次落入对方橙色场内，机器人保持站立。评分器确认四阶段全部通过且独立重放确定性成功，落点 (13.412, -0.385) 米，入射/离球速度为 2.49/14.9 米每秒；无失败断点。没有逐帧状态日志，25 帧/秒远景无法独立核验毫秒级离体、接触跨度及掌垫/腕部的精确接触位置，这些合法性条件以本次评分器成功结果确认。",
+ "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、4/4 阶段；节点 serve_in_court 终值 true、接触（托后击打=其他、腿支撑）与视频一致，无失败层，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": "2026-10-31T00:36:09Z",
+  "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-volleyball-serve-i00-privileged--jdqqqgz/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--jdqqqgz/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "632c147feadb77c67dd979031f9ee320625353168ab6b094208178681c2243ff",
+   "video_sha256": "a9b27aa06447a0a2ceec98cf1e0a5d7098e3fe1d5262042f97a6b2d035fada82",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--pdmzbcm.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--pdmzbcm.json
new file mode 100644
index 0000000000000000000000000000000000000000..145cf3e9ce8b724871cfc91ddfc2a0f508fba6c6
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--pdmzbcm.json
@@ -0,0 +1,210 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--pdmzbcm",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 280,
+   "sim_steps": 280,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 4.42,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.093,
+   "metric_landing_x_m": 14.28,
+   "metric_landing_y_m": 0.569,
+   "metric_speed_in_m_s": 2.47,
+   "metric_speed_out_m_s": 13.44,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 2159,
+   "agent_resets": 20952,
+   "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": 9.115,
+   "peak_processes": 53,
+   "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": 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-volleyball-serve-i00-privileged--pdmzbcm/replay.mp4",
+  "duration_s": 2.84,
+  "fps": 25.0,
+  "frames": 71,
+  "sha256": "2219ae4fada8eb8414018b5a6afa3c2cee0a697c73f5afad126b57ba97857dc2"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.8,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频 0.00 s，排球在机器人左侧开放手掌上，机器人双脚站在近端端线后的蓝色服务区；视频 0.12–0.40 s，球向上离开原托球位置，左臂回收，球与手臂之间出现间隔。"
+     },
+     {
+      "t": 0.6,
+      "log_step": null,
+      "text_zh": "观察：视频 0.52–0.60 s，机器人左臂向前上方挥动，球随后迅速向球网方向飞离；视频 0.64–0.76 s，球持续远离机器人，右臂未参与击球。远景只能辨认左臂击球区域，不能可靠区分瞬时接触在掌垫还是前臂。"
+     },
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "观察：视频 0.80–2.80 s，球沿高弧线向远端半场飞行；视频 2.56–2.80 s，球下降至远端橙色场地，末帧落点位于对方半场白线内，机器人仍站在原服务区。节点到达时间取末帧视频约 2.80 s。"
+     },
+     {
+      "t": 2.8,
+      "log_step": 225,
+      "text_zh": "观察：inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=4/4、fell=0，落点为 x=14.28 m、y=0.569 m，入射速度 2.47 m/s、出射速度 13.44 m/s；log step 225 对最终交付的 280 行轨迹两次官方重放均成功，终态哈希相同，指标与评分器一致。"
+     },
+     {
+      "t": 2.8,
+      "log_step": null,
+      "text_zh": "推断：视频中的起球、单臂击出、飞向远端及末尾场内落地与评分器四阶段通过一致，因此“发球入对场”在视频约 2.80 s 达成并锁存；25 帧/秒远景不能独立核验 0.03 s 离体、0.10 s 接触跨度等短时判据，这些合法性条件依据本次评分器成功判定。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "候选接触方式“击打”：视频 0.52–0.60 s，机器人左臂直接挥击排球，随即球加速飞离，画面无法细分掌垫与前臂的瞬时接触；击打不属于抓握或持续推/扫，故用其他。同一左掌此前在视频 0.00–0.12 s 从下方托球并起球（托/舀），与后续击打依次发生。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.80 s，机器人双脚在近端端线后的地面支撑身体，配合左臂起球与击球；未见起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 2.47
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 13.44
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 14.28
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 0.569
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.093
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人在端线后的服务区用左掌起球、左臂挥击，排球飞向对方半场并在视频约 2.80 s 首次落入场内，完成唯一节点“发球入对场”（1/1），无失败断点。评分器确认四个验收阶段全部通过、确定性重放成功且未跌倒，记录落点 x=14.28 m、y=0.569 m，击前后速度为 2.47→13.44 m/s。没有逐帧状态日志，25 帧/秒远景无法独立核验短时接触阈值或区分击球瞬间的掌垫与前臂，相关合法性依据评分器成功判定。",
+ "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“发球入对场”达成（评分器 success、4/4 阶段、落点 x=14.28 m），视频末帧球落在远端场内，时间 2.8 s 合理；接触标注（其他·击打 + 腿/躯干·支撑）符合规则，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": "2026-10-31T00:34:32Z",
+  "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-volleyball-serve-i00-privileged--pdmzbcm/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--pdmzbcm/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "c2b2e9b0a70e5e0cd987ceeb60cec09027832d9ffb9cc7c599fa8d1281921c53",
+   "video_sha256": "2219ae4fada8eb8414018b5a6afa3c2cee0a697c73f5afad126b57ba97857dc2",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--qlmptr4.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--qlmptr4.json
new file mode 100644
index 0000000000000000000000000000000000000000..5fc0826a186aa49433ff6c442175a6162f57c0ca
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--qlmptr4.json
@@ -0,0 +1,210 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--qlmptr4",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 243,
+   "sim_steps": 243,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 3.24,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.096,
+   "metric_landing_x_m": 11.641,
+   "metric_landing_y_m": -2.683,
+   "metric_speed_in_m_s": 2.97,
+   "metric_speed_out_m_s": 11.61,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 358,
+   "agent_resets": 25,
+   "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": 2.382,
+   "peak_processes": 9,
+   "peak_disk_gb": 0.253,
+   "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-volleyball-serve-i00-privileged--qlmptr4/replay.mp4",
+  "duration_s": 2.44,
+  "fps": 25.0,
+  "frames": 61,
+  "sha256": "e8d83960d2d8a6fc0fdfa68c1e8e410103b9400a013f1b059482a518aec65059"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.4,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.28,
+      "log_step": null,
+      "text_zh": "观察：视频 0.12–0.20 s 排球位于机器人伸出的平掌上方；视频 0.28–0.60 s 排球升至头部附近，起球臂后撤，球与手臂分离。机器人双脚仍在近端端线后的地面支撑身体。"
+     },
+     {
+      "t": 0.8,
+      "log_step": 159,
+      "text_zh": "推断：视频 0.60–0.84 s 可见机器人单臂由后下方向前上方挥动，排球随后向球网飞出；结合 log step 157 保存的最终生成脚本仅驱动左臂、log step 159 对该文件重放时裁判记录击球部位为 left_forearm 和 left_hand，判定实际为左掌起球后左手／前臂击球。"
+     },
+     {
+      "t": 2.08,
+      "log_step": null,
+      "text_zh": "观察：视频 1.96–2.12 s 排球从网顶上方越向远端半场，随后继续下降；视频 2.28–2.40 s 排球降至远端橙色场地区域，机器人保持站立。"
+     },
+     {
+      "t": 2.4,
+      "log_step": 159,
+      "text_zh": "观察：log step 158 执行最终生成脚本后，log step 159 对保存的 trajectory.npz 重放，裁判返回 success=true、failed=null，起球、击球、越网、场内落地四阶段齐全，执行 243 个控制步；inputs/run.json 的正式 reward 同样报告 replay_success=1、deterministic=1、stages_reached=4、fell=0，落点为 (11.641, -2.683) 米。"
+     },
+     {
+      "t": 2.4,
+      "log_step": null,
+      "text_zh": "推断：结合视频末尾 2.36–2.40 s 排球在对方场内接近地面的画面及正式评分成功，发球入对场在视频约 2.4 s 完成并锁存；时间按末尾画面作近似标注，25 帧/秒远景不能分辨精确触地瞬间或逐毫秒触球合法性。参考成功录像亦呈现单臂发球、越网后在远端橙色半场结束的过程，仅用于辨认视角。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "候选方式“击打”：视频 0.60–0.84 s 单臂前上挥后球向前飞出，最终文件重放裁判在 log step 159 确认左手和左前臂击球；词表无击打，故用其他。此前视频 0.12–0.28 s 左侧开放平掌由下方承托并起球（托/舀），随后后撤再击球；这些接触依次发生，无包围或夹紧球的抓握。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.40 s 机器人双脚在近端端线后地面承重，配合手臂起球和发球，未见起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 2.97
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 11.61
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 11.641
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": -2.683
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.096
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人以左掌托球起球，再用同侧手／前臂击球，排球越网后在对方场内落地，唯一节点“发球入对场”于视频约 2.4 s 完成；正式评分成功，四阶段均通过且重放确定。没有状态日志，远景录像无法独立分辨短时接触及精确触地瞬间，这些验收细节由最终交付文件的裁判重放记录和正式评分结果补充确认。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 8,
+    "summary_zh": "唯一目标节点“发球入对场”已达成且 final=true，与正式评分（success、4/4 阶段）和视频（球越网后落入远端橙色半场）一致；时间、接触、log step 引用均核实无误，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": "2026-10-31T00:34:36Z",
+  "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-volleyball-serve-i00-privileged--qlmptr4/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--qlmptr4/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "f208adef388993b3c9764ae4382d29ae4b5bd6cea65b43cf351a84158c1c9722",
+   "video_sha256": "e8d83960d2d8a6fc0fdfa68c1e8e410103b9400a013f1b059482a518aec65059",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--wdqbqrx.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--wdqbqrx.json
new file mode 100644
index 0000000000000000000000000000000000000000..25b156d21039c2cf178969c9fe6fc30d1e7da581
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-privileged--wdqbqrx.json
@@ -0,0 +1,205 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-privileged--wdqbqrx",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "outcome": {
+  "success": 1,
+  "reward": 1.0,
+  "source": "catalog",
+  "raw": {
+   "success": 1,
+   "replay_success": 1,
+   "deterministic": 1,
+   "n_actions": 267,
+   "sim_steps": 267,
+   "horizon": 1200,
+   "episode_over": 1,
+   "progress": 1.0,
+   "stages_reached": 4,
+   "stages_total": 4,
+   "fell": 0,
+   "replay_s": 3.17,
+   "bad_trajectory": 0,
+   "metric_ball_height_m": 0.084,
+   "metric_landing_x_m": 13.504,
+   "metric_landing_y_m": 0.573,
+   "metric_speed_in_m_s": 2.17,
+   "metric_speed_out_m_s": 12.19,
+   "grader_error": 0,
+   "video_rendered": 1,
+   "agent_sessions": 22,
+   "agent_resets": 202,
+   "agent_replays": 4,
+   "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": 0.519,
+   "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-volleyball-serve-i00-privileged--wdqbqrx/replay.mp4",
+  "duration_s": 2.68,
+  "fps": 25.0,
+  "frames": 67,
+  "sha256": "96687a65c6235cc0534d27676708f6b53f12d36e4afd5f03720391bf675660e0"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.66,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.2,
+      "log_step": 45,
+      "text_zh": "观察：视频0.00–0.20 s，机器人站在近端白色端线后的蓝色服务区，左掌下托排球并上抬；视频0.24–0.48 s球与收回的手分开，机器人左臂蓄势，双脚仍在地面支撑。"
+     },
+     {
+      "t": 0.6,
+      "log_step": 45,
+      "text_zh": "观察：视频0.52–0.60 s，机器人左臂向球挥动，视频0.60–0.68 s球从机器人手边迅速向前上方飞离；log step 45最终保存轨迹的裁判输出将击球部位记为left_hand，入射速率2.17 m/s、离球速率12.19 m/s。"
+     },
+     {
+      "t": 2.64,
+      "log_step": 45,
+      "text_zh": "观察：已检查视频全程及视频1.68–2.64 s的每帧，球先在网的上方飞行，随后下降至远端橙色半场内部，末帧视频2.64 s球已接近场地表面，机器人仍站立；这与成功参考录像中的越网后落入远端半场的可见结果一致，参考录像不用于确定本次完成时刻。"
+     },
+     {
+      "t": 2.66,
+      "log_step": 45,
+      "text_zh": "推断：log step 45保存并独立重放的最终文件均为267控制步、仿真2.67 s，故每控制步0.01 s；总时长与视频2.68 s相符，且裁判仿真0.596 s确认击球与视频0.56–0.60 s球被击出相符。由此将该文件裁判在仿真2.661 s确认首次场内落地和成功映射为视频约2.66 s，位于末帧视频2.64 s之后的结束区间，事件自此锁存。评分器success=1、replay_success=1、deterministic=1、stages_reached=4/4，落点为(13.504,0.573) m，支持节点终值为真；未将agent会话时间映射为视频时间。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "候选方式“击打”：视频0.52–0.60 s机器人单侧左手击排球，log step 45最终交付重放的裁判记录为left_hand；现有方式词表无击打，故用其他。此前视频0.00–0.20 s左掌从下方托球并起球（托/舀），两种接触先后发生；没有合手抓握，也未见双手同时击球。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "视频0.00–2.64 s，机器人双脚在近端端线后的服务区地面承重，配合左臂起球、击球及随挥；未见起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": 2.17
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": 12.19
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 13.504
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": 0.573
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": 0.084
+  }
+ ],
+ "failure": null,
+ "summary_zh": "机器人以左掌起球、左手击球，球越网后落入对方场内，完成唯一节点“发球入对场”（1/1）；最终交付的267步轨迹及评分器均确认成功，完成时刻推断为视频约2.66 s。没有逐帧状态日志，远景25帧/秒视频无法独立核验短时离体、接触跨度和全部裁判阈值，且视频2.64 s末帧略早于首次触地确认；这些细节依据与画面相符的最终交付重放裁判输出及评分器结果，未采用早期会话测试作为本次进度。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "成功运行，单节点serve_in_court终值为真，与评分器success=1、stages 4/4及落点(13.504,0.573)一致；时钟映射（267步×0.01 s）与接触标注（左手击打记其他、双脚支撑）合理，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": "2026-10-31T00:35:21Z",
+  "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-volleyball-serve-i00-privileged--wdqbqrx/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-privileged--wdqbqrx/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "269c23ffc00c86aaca2de741bdec1e2135f940c8ef28ecba5d55c6e7a4cf9c43",
+   "video_sha256": "96687a65c6235cc0534d27676708f6b53f12d36e4afd5f03720391bf675660e0",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--ei3dnvc.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--ei3dnvc.json
new file mode 100644
index 0000000000000000000000000000000000000000..15e7060cfd88465764f9fa55d1fc2613b32f0a5b
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--ei3dnvc.json
@@ -0,0 +1,222 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-standard--ei3dnvc",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "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": 120,
+   "sim_steps": 834,
+   "calls": 16,
+   "rows": 784,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 679.3,
+   "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": 0.203,
+   "peak_processes": 6,
+   "peak_disk_gb": 0.307,
+   "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-volleyball-serve-i00-standard--ei3dnvc/replay.mp4",
+  "duration_s": 1.24,
+  "fps": 25.0,
+  "frames": 31,
+  "sha256": "18bd31f3cd52aa1d95cf49ea23aa065fda7aeee0ecd4119eb8893b0603155586"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.44,
+      "log_step": 129,
+      "text_zh": "观察：视频0.00–0.40 s机器人在近端端线后托球、起球并挥臂，视频0.44–0.52 s球从挥出的手臂前方飞离；log step 129的受评控制脚本先驱动左掌起球，再驱动右臂挥击。"
+     },
+     {
+      "t": 1.2,
+      "log_step": 130,
+      "text_zh": "观察：视频0.52–1.20 s球仅在本方橙色半场飞行，下降后在视频约1.20 s于本方半场触地，从未到达球网或远端半场；机器人始终站立。log step 130第六回合的服务裁判返回stages_reached=2/4、outcome=the ball landed outside the opponent's court、done=True，与视频一致。"
+     },
+     {
+      "t": null,
+      "log_step": 136,
+      "text_zh": "观察：log step 128重置至episode=6；log step 130提交并结束该回合；log step 136确认episode=6、done=True、reason=failed。评分字段graded_by_live=1、resets=5、n_actions=120，受评对象为最后这一回合，前五回合测试不计入节点进度。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "观察：视频0.00–0.44 s先以开放掌垫从下方托球起球，随后另一侧手臂挥向球；视频0.44–0.52 s球飞离。结合log step 129动作定义，依次为左掌托/舀、右手或同侧手臂击球；未见包围夹持。此项候选方式为“击打”，现有接触方式无击打取值，故用其他；两臂先后触球，不标双臂同时协作。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–1.20 s机器人双脚在近端蓝色服务区地面承重支撑，配合起球和挥臂，未见起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better"
+  },
+  {
+   "name": "speed_out_m_s",
+   "value": null,
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better"
+  },
+  {
+   "name": "landing_x_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": "target"
+  },
+  {
+   "name": "landing_y_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": "target"
+  },
+  {
+   "name": "ball_height_m",
+   "value": null,
+   "unit": "m",
+   "threshold": null,
+   "direction": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "serve_in_court",
+   "t": 0.44,
+   "log_step": 130,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约0.44 s机器人挥臂将球击出，视频0.52–1.20 s球在本方半场形成短距离飞行并于约1.20 s落地，未越网，未完成发球入对场。log step 130的第六回合裁判仅确认2/4阶段并以球未落入对方场内结束。"
+  },
+  "unmet": {
+   "serve_in_court": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 0.44,
+    "log_step": 130,
+    "evidence_zh": "观察：视频0.44–1.20 s机器人已经把球击离身体，但球飞行距离很短，下降落在本方橙色半场，未到达球网；log step 130裁判确认起球、击球两阶段后判落点失败。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 129显示agent脚本以预设关节位置序列执行左手起球、右臂挥击，log step 130裁判已接受起球和击球；视频0.44–1.20 s实际出球轨迹却只能到达本方半场，说明本次击球控制未产生完成越网和对场落地所需的出球运动。现有证据不能进一步区分接触几何、关节运动参数或实际跟踪误差。",
+    "source_zh": "日志 / 视频"
+   }
+  ],
+  "gap_zh": "无逐帧状态日志；仅有25帧/秒远景，无法独立复核0.03秒离体、0.10秒接触时窗及具体击球部位。评分字段未报告五项原生指标，故均留null；不能把agent会话中的运动学估计或前五回合数值当作受评回合测量，也不足以确定控制根因的子类。"
+ },
+ "summary_zh": "受评的是最后的第六回合：机器人完成起球与击球，裁判确认2/4阶段，但“发球入对场”节点始终未达成，最终0/1。视频约0.44 s击出的球在本方半场短距离飞行，至视频约1.20 s触地，失败现象为位姿不准，根因归为控制。无逐帧触球与球速记录，无法细分击球控制问题，原生指标均未报告。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "受评第六回合标注与视频和log一致：球被击出后只在本方半场飞行并在约1.20 s落地，节点未达成，最终0/1；断点、位姿不准现象和停在“控制”的根因均有证据支持，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": "2026-10-31T00:38:15Z",
+  "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-volleyball-serve-i00-standard--ei3dnvc/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--ei3dnvc/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "52007fe7f421a93d6add7f230570895a14a8fca166848acb86741d5d85c62218",
+   "video_sha256": "18bd31f3cd52aa1d95cf49ea23aa065fda7aeee0ecd4119eb8893b0603155586",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo.json
new file mode 100644
index 0000000000000000000000000000000000000000..250a7298a42e9afabb0b2cac1d68c8bddcee99e9
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo.json
@@ -0,0 +1,245 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "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": 200,
+   "sim_steps": 1458,
+   "calls": 88,
+   "rows": 1458,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3713.9,
+   "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": 4.986,
+   "peak_processes": 14,
+   "peak_disk_gb": 0.66,
+   "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-volleyball-serve-i00-standard--fzzj4fo/replay.mp4",
+  "duration_s": 2.04,
+  "fps": 25.0,
+  "frames": 51,
+  "sha256": "2cdd4e3ef8a537f0d48d455ce1673261ebccda8e92f46392b34e46e051f07ede"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.76,
+      "log_step": null,
+      "text_zh": "观察：视频 0.64–0.80 s，机器人将左掌上方的排球向上抛起，球与手臂分离；视频 1.36–1.52 s，机器人左臂向前挥动，随后球离开机器人向球网方向飞行。"
+     },
+     {
+      "t": 2.0,
+      "log_step": 147,
+      "text_zh": "观察：视频 1.52–2.00 s，击出的球沿低弧线飞向网前，末帧球仍在本方橙色半场、未到球网；log step 147 的机器人服务返回 outcome=\"the ball landed outside the opponent's court\"、stages_reached=2/4、done=True。该输出由脚本读取服务返回的裁判字段，表示已确认起球和合法击球，未确认合法越网及对场落地。"
+     },
+     {
+      "t": 2.0,
+      "log_step": 148,
+      "text_zh": "观察：log step 147 在第五轮结束后调用 reset 并执行标为 a6 的最后一轮；log step 148 的服务状态为 episode=6、control_steps=200、done=True、reason=\"failed\"、resets_left=0，且 run.json 的评分字段为 graded_by_live=1、n_actions=200、success=0。视频末帧球仍在网前本方半场空中；结合该轮裁判结果，发球入对场从未成立。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "观察：视频 0.00–0.60 s，机器人左侧开放平掌从下方托住排球并起球；视频约 1.40–1.48 s，同侧手掌或腕臂挥击下落的球，随后球向前飞出。此处候选方式为“击打”，现有方式无对应值；起球的托举与击球先后发生，未见抓握或双手共同击球。远景不能分辨击球瞬间具体落在掌垫还是相邻腕臂。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.00 s，机器人双脚在近端白色端线后地面支撑身体，配合抛球和挥臂；未见起跳或倒地。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "serve_in_court",
+   "t": 1.44,
+   "log_step": 147,
+   "where": "操作中",
+   "evidence_zh": "观察：视频约 1.40–1.48 s，机器人左臂挥击后球向前飞出；视频 1.52–2.00 s，球沿低弧线飞向网前，末帧仍在本方半场空中。log step 147 的最后一轮裁判返回“the ball landed outside the opponent's court”、2/4 阶段后终止；log step 148 中 agent 的跟踪脚本在其仿真时间 1.97 s 输出 ground-if-landed [8.48,1.86]，这是预测落点，非实际触地读数。推断：结合可见轨迹、该预测的 x≈8.5 m 小于网平面 x=9.5 m（task/task_dag.json 的节点判据）及裁判结果，球落在网前本方半场，发球未修复；本方具体落点为推断，视频未直接显示触地。断点锚定此次击球，视频时间为帧间近似。"
+  },
+  "unmet": {
+   "serve_in_court": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "位姿不准",
+    "t": 1.44,
+    "log_step": 147,
+    "evidence_zh": "观察：视频 1.48–2.00 s，机器人击出的排球在本方半场低飞向网前，末帧仍在空中，未飞过球网进入远端半场；log step 147 的裁判仅确认 2/4 阶段，并以落点不在对方场内判负。推断：此次击球形成的出球轨迹过短，未命中要求的对场落点。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 143,
+    "evidence_zh": "推断：agent 用自己搭建的离线仿真选取挥臂动作，实际击球效果与该模型预测不符，控制未产生足够的发球距离。log step 143 的自建仿真对 best11_1 参数预测落点约为 [14.57,-1.45] 米；log step 147 将该参数用于最后一轮，服务裁判却返回球落在对方场外，且视频 1.48–2.00 s 显示球在本方半场低飞、末帧仍在网前空中。agent 在 log step 149 的记录及 log step 150 的最终自述中也称自建仿真未匹配实际击球强度。上述离线数值仅用于解释控制选择，不作为本轮原生指标；现有证据不能确定是接触几何、关节跟踪还是动力学参数造成差异。",
+    "source_zh": "日志 / 视频 / agent 自述"
+   }
+  ],
+  "gap_zh": "没有逐帧状态或接触日志；25 fps 远景只能定位左臂击球及球在本方半场低飞，未直接显示触地；本方落地由可见轨迹、log step 148 的 agent 预测落点及 log step 147 裁判结果推断，不能独立核验掌垫与腕臂的具体接触、0.03/0.10 秒规则或入射/出射速度。合法起球和击球由最后一轮服务裁判的 2/4 阶段结果补充确认。run.json 未报告 DAG 所列五项原生指标，均保留 null；离线仿真预测与 agent 自行估计不能替代评分器数值。控制根因仅能确定到大类。"
+ },
+ "summary_zh": "评分采用 log step 147 执行的最后一轮：机器人完成抛球和裁判认可的击球，但视频约 1.44 s 击球后球飞得过低、过短，视频末帧球仍在网前本方半场空中，裁判判定落在对场外，发球入对场节点最终为 0/1。断点为发球入对场的操作中，现象为位姿不准；日志中自建仿真预测对场落地而实际未达到，支持控制层面的归因。视频未直接显示触地，本方落地为结合轨迹与日志的推断；无逐帧接触与速度记录，无法细分控制子因或独立核验短时触球规则。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "WHERE 标签（serve_in_court 未达成、最后一轮 a6、断点约 1.44 s、接触 其他·击打 + 腿/躯干·支撑）与视频和 log 一致；位姿不准加控制（大类）有 log 支持。仅有一处观察表述前后不一致（球是否已在视频内落地）。",
+    "n_issues": 1,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "WHERE 标签（serve_in_court 未达成、断点约 1.44 s、接触 其他·击打 + 腿/躯干·支撑）与视频及 log 一致；上轮的观察/推断区分已修正，位姿不准加控制（大类）有 log 与裁判结果支持。",
+    "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": "2026-10-31T00:57:36Z",
+  "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_rerun1/runs/embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work_rerun1/runs/embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work_rerun1/runs/embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work_rerun1/runs/embodied-olympics-fun-volleyball-serve-i00-standard--fzzj4fo/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "4c0711bab1a59ad90d45bd8423143f1eb287cb731f0ddf862a2cd073e53d303b",
+   "video_sha256": "2cdd4e3ef8a537f0d48d455ce1673261ebccda8e92f46392b34e46e051f07ede",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--gujsyfb.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--gujsyfb.json
new file mode 100644
index 0000000000000000000000000000000000000000..7184e6fb107a693c7fbad08ddb5fd0d9dfedb3dd
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--gujsyfb.json
@@ -0,0 +1,237 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-standard--gujsyfb",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "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": 125,
+   "sim_steps": 157,
+   "calls": 14,
+   "rows": 143,
+   "resets": 1,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 7065.0,
+   "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,
+   "peak_memory_gb": 2.029,
+   "peak_processes": 11,
+   "peak_disk_gb": 2.561,
+   "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-volleyball-serve-i00-standard--gujsyfb/replay.mp4",
+  "duration_s": 1.28,
+  "fps": 25.0,
+  "frames": 32,
+  "sha256": "ff6227b5f9c06b98a974e9e4704e0908f0920669e594c4bd200bc32b66d2901c"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": null,
+      "text_zh": "观察：视频0.00–0.44 s，机器人双脚站在近端服务区，左掌从下方托住排球；视频0.48–0.72 s，左臂上抬，排球升至头部附近。"
+     },
+     {
+      "t": 0.92,
+      "log_step": null,
+      "text_zh": "观察：逐帧检查视频0.72–1.24 s，机器人手臂先回撤再挥动，排球仍在身体前方近处下降，视频1.20–1.24 s落到脚前附近；全片未见球向球网飞出、越网或落入对方半场。"
+     },
+     {
+      "t": null,
+      "log_step": 166,
+      "text_zh": "观察：inputs/video.json记录本片共32帧；log step 166的服务状态为episode=1、control_steps=32、rows=32、done=true、reason=failed。两者数量相同，但缺少录像与控制步的对应依据，不能确定本片属于哪次尝试。评分器记录resets=1、live_success=0；log step 167的脚本读数不作为本片的球位或节点事实，节点未完成依据视频中球未飞向球网、未落入对方场内。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频0.00–0.56 s，机器人开放左掌从下方承托排球并随左臂上抬起球，随后球离掌；视频后段手臂挥动，远景不能确认有无短暂再触球，不另记已发生击打。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频0.00–1.24 s，机器人双脚接触服务区地面支撑身体，配合左臂起球和后续挥臂，全片未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "serve_in_court",
+   "t": 0.9,
+   "log_step": null,
+   "where": "操作中",
+   "evidence_zh": "观察：视频0.72–1.24 s，排球已在机器人头部前方离掌，机器人回撤和挥臂后未把球送向球网，球继续下降至脚前附近；发球入对场始终未完成。"
+  },
+  "unmet": {
+   "serve_in_court": false
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 0.9,
+    "log_step": null,
+    "evidence_zh": "推断：视频0.72–1.04 s，球在机器人头部前方附近，手臂回撤后在较低处挥动；视频1.08–1.24 s球继续下降至脚前，未形成向球网方向的出球。该先后关系提示挥臂可能未跟上运动中的球，保留“动态时机”为不确定推断；远景不能确认是否短暂触球，也不能排除空间对位或接触效果问题，不能断言已证实错过击球窗口。"
+   }
+  ],
+  "root_causes": [],
+  "gap_zh": "无状态日志；本片32帧与log step 166中第一回合control_steps=32仅数量相同，录像归属回合及控制步到视频的映射未获核实。log step 167是agent定位脚本输出，不是服务提供的球位真值；log step 37曾输出[0.433,0.168,1.373]，这些会话读数不能直接与本片时刻配对。25帧/秒远景及放大图不能确认短暂触球、离体间隔、击球速度或具体裁判条款；动态时机仅为推断，无法区分时序、空间对位和接触效果问题，也不足以判定感知或控制根因，故root_causes留空。log step 168未返回后续结果，first_reason_code=2未释义，原生指标未报告。"
+ },
+ "summary_zh": "机器人用左掌托球上抛并挥臂，但球未向球网飞出，视频1.20–1.24 s落回脚前附近，发球入对场未完成（0/1）。挥臂可能未跟上运动中的球，仅保留动态时机推断；录像归属回合未确定，无状态日志且远景无法确认短暂触球或区分时序、对位和接触问题，撤回感知归因并将置信度降至5。",
+ "conf": 5,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "视频本身（球落回脚前、未飞向球网、0/1）与标签一致，但标签把录像认定为第二次尝试（log step 167）并据此把“感知”写成根因：录像共32帧，恰与log step 166服务状态中第一回合control_steps=32吻合，第二回合是否被录进视频无证据；且step 167的obs是agent自己脚本的读数（坐标系未说明，step 37曾得到合理球位[0.43,0.17,1.37]），不是对视频的观察，“与视频直接不符”不成立。因此感知根因与动态时机现象缺乏可靠证据。",
+    "n_issues": 3,
+    "n_major": 2
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "视频（球抛起后落回脚前、未飞向球网）与标签一致；第一轮指出的回合归属和感知根因问题已修正，root_causes为空并有gap_zh，动态时机标为推断且conf 5合理。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": "2026-10-31T00:51:31Z",
+  "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-volleyball-serve-i00-standard--gujsyfb/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--gujsyfb/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--gujsyfb/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--gujsyfb/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "49468e90f8d1b4b50f7efdac8fd056c8a201082cb404399a30bb94c0ad05b62d",
+   "video_sha256": "ff6227b5f9c06b98a974e9e4704e0908f0920669e594c4bd200bc32b66d2901c",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--kvnmknw.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--kvnmknw.json
new file mode 100644
index 0000000000000000000000000000000000000000..c57ab937a88ddbdec086171095c6d57f675f766e
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--kvnmknw.json
@@ -0,0 +1,240 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-standard--kvnmknw",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "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": 91,
+   "sim_steps": 1105,
+   "calls": 27,
+   "rows": 456,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 3664.4,
+   "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": 0.99,
+   "peak_processes": 12,
+   "peak_disk_gb": 0.926,
+   "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-volleyball-serve-i00-standard--kvnmknw/replay.mp4",
+  "duration_s": 0.92,
+  "fps": 25.0,
+  "frames": 23,
+  "sha256": "d0c24bf3cb8c87bc6884e58391ee4c2933a400819f038927dccfdfac6bf5a3a3"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.28,
+      "log_step": 194,
+      "text_zh": "观察：视频 0.00–0.28 s，机器人站在近端端线后，左掌由下方托球并抬臂，球在胸前小幅上升；视频 0.32–0.60 s，球又在机器人近前下落。"
+     },
+     {
+      "t": 0.88,
+      "log_step": 194,
+      "text_zh": "观察：视频 0.64–0.88 s，左臂随后上挥，球仍向机器人近前的近端地面下落，整段视频均无球飞越球网或到达远端半场。log step 194 最后一次 reset 后的实时服务返回 done=True、reason=failed、stages_reached=2、stages_total=4；log step 195 确认该局为 episode=6、control_steps=91 且已结束。发球入对场未完成。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–0.28 s 左掌从下方托球并抬起，随后视频 0.32–0.44 s 球与掌分离；log step 194 裁判返回2/4阶段，与起球完成相容，但计数本身不能独立证明击球。视频 0.68–0.88 s 左臂上挥时球已在下方，未见可确认的击球接触；是否发生短时击打接触未知。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–0.88 s，机器人双脚着地支撑身体，配合左臂起球和挥击，未见跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "serve_in_court",
+   "t": 0.64,
+   "log_step": 194,
+   "where": "操作中",
+   "evidence_zh": "观察：视频 0.60–0.80 s，球已下降至左臂附近及其下方，机器人左臂随后向上挥动，球继续朝近端地面运动；视频 0.88 s 球仍在近端，未越网。log step 194 最后一次实时回合返回 failed、2/4 阶段，log step 195 确认该回合结束，未再重置成功。"
+  },
+  "phenomena": [
+   {
+    "cat": "运动",
+    "item": "动态时机",
+    "t": 0.64,
+    "log_step": 194,
+    "evidence_zh": "观察：视频 0.28–0.60 s，球在机器人近前由高处下降；视频 0.68–0.80 s，左臂向上挥起时球已落至前臂以下，随后视频 0.84–0.88 s 球接近近端地面，未得到越网飞行轨迹。推断：机器人挥击与下落球的时序不匹配，挥臂偏迟。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "log_step": 195,
+    "source_zh": "agent 自述 / 日志 / 视频",
+    "evidence_zh": "推断：log step 194 最终控制脚本输出竖直速度估计 v2_z=-0.32 m/s、v3_z=-0.13 m/s，选择仿真 0.665 s 拦截并先等待20个控制步；视频 0.68–0.80 s 左臂上挥时球已降至前臂下方，支持球运动外推与挥击时序控制错误。agent 在 log step 195、200 自述飞行帧跨过抛球顶点，有限差分拟合低估下落速度（其称估计约-0.3 m/s、实际约-1.3 m/s），使拦截时刻从其认为应有的仿真约0.55 s 延后至仿真0.665 s；这段具体机制和实际速度为 agent 的事后诊断，视频仅佐证挥击偏迟，缺少状态真值独立核验。"
+   }
+  ],
+  "gap_zh": "没有逐帧状态、接触对或完整裁判事件；25 fps远景不能独立核验短时击球接触部位、接触持续时间及具体终止规则。log step 194 裁判返回2/4阶段，但没有阶段事件明细，不能独立证明已发生击球；log step 193、195 的 agent 自述挥空也不能替代接触记录，故仅标已观察到的托球，不将击打列为已发生，后段是否有短时触球仍未知。log step 195、200 关于跨顶点拟合及实际速度的诊断未获状态真值核验。log step 194 的第二段帧时间打印存在偏移，agent 在 log step 195 亦承认时间打印错误；本标注所有视频时间均取自实际检查的帧，没有采用该打印时间。原生指标未在评分器 reward 字段报告，均保留null。",
+  "unmet": {
+   "serve_in_court": false
+  }
+ },
+ "summary_zh": "机器人完成了左掌起球并尝试左臂发球，但球一直留在近端并下落，未越网进入对场，唯一节点“发球入对场”最终未完成。视频中上挥动作迟于球下降至有效击球位置，日志中的球速外推及等待指令支持控制时序错误；具体速度拟合机制来自 agent 事后诊断，缺少状态真值核验。裁判报告2/4阶段，但不能独立证明击球，远景及缺少接触日志限制了对具体击打接触和判负规则的判断。",
+ "conf": 7,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 6,
+    "summary_zh": "节点未完成、断点（serve_in_court，操作中）、动态时机现象大体成立；但 contact_actual 把“左臂击打球”当作推断写入，而 stages_reached=2 在本 run 里并不表示已击球（同样 2/4 的 attempt C 第二次被 agent 记为挥空，视频中球先落到手臂下方、手臂后上挥，看不到触球）。应改为已观察到的起球托举，击打接触记未知/未发生。",
+    "n_issues": 2,
+    "n_major": 1
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "第二轮修订后，节点未完成、断点 serve_in_court（操作中）、动态时机现象与控制根因均有视频和日志支撑，归源标注清楚，接触只标已观察到的托举，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": "2026-10-31T00:49:04Z",
+  "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-volleyball-serve-i00-standard--kvnmknw/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--kvnmknw/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--kvnmknw/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--kvnmknw/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "7222a33ce1b3dc6609ada04a6831035446844cc31fb87d109c180cd489d541d8",
+   "video_sha256": "d0c24bf3cb8c87bc6884e58391ee4c2933a400819f038927dccfdfac6bf5a3a3",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--m3xgpwr.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--m3xgpwr.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0645343cc81923cd3aea494fc5ebd722c551ea6
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--m3xgpwr.json
@@ -0,0 +1,217 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-standard--m3xgpwr",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "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": 11,
+   "sim_steps": 1834,
+   "calls": 130,
+   "rows": 168,
+   "resets": 5,
+   "reset_budget": 5,
+   "sim_startups": 1,
+   "elapsed_s": 2471.6,
+   "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,
+   "peak_memory_gb": 0.363,
+   "peak_processes": 12,
+   "peak_disk_gb": 1.138,
+   "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-volleyball-serve-i00-standard--m3xgpwr/replay.mp4",
+  "duration_s": 0.12,
+  "fps": 25.0,
+  "frames": 3,
+  "sha256": "6df13771b16709bb85a9fbbf03177efff4d356f47d4feee886ea573ee5f2ec23"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 0,
+  "final": 0,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [],
+    "final": false,
+    "evidence": [
+     {
+      "t": 0.0,
+      "log_step": 139,
+      "text_zh": "观察：视频 0.00、0.04、0.08 s 的全部三帧中，机器人站在近端端线后，球位于向前伸出的掌部附近；没有球飞向球网、越网或在对方半场落地的画面。log step 139 中 agent 的起球控制脚本重置到第6回合，提交左肩与左肘配合的抬掌准备动作，随后回合已经结束。"
+     },
+     {
+      "t": 0.08,
+      "log_step": 141,
+      "text_zh": "观察：log step 141 中，机器人实时服务（返回裁判结果的API）报告 episode=6、control_steps=11、done=true、reason=failed，outcome 为“the ball was not tossed: it stayed on the hand”，stages_reached=1、stages_total=4；run.json 的评分字段 graded_by_live=1、live_success=0。此处1/4是裁判内部阶段，未满足本DAG唯一节点所要求的完整合法发球。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "托/舀",
+      "note_zh": "观察：视频 0.00–0.08 s 中排球位于机器人前伸的左掌上方；结合任务初态说明及 log step 141 的裁判反馈，左侧开放平掌从下方托球。未见包围夹持，也未见击球；本次不记击打接触。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00、0.04、0.08 s 中机器人双脚始终在端线后地面支撑身体，未见起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": {
+  "breakpoint": {
+   "ref": "serve_in_court",
+   "t": 0.08,
+   "log_step": 141,
+   "where": "操作中",
+   "evidence_zh": "观察：log step 135 的控制脚本先执行抬左掌准备，再推掌起球和挥臂；log step 139 实际进入第6回合并提交准备动作，下一次提交时服务已因任务失败拒绝继续。log step 141 的裁判明确报告球未抛起、仍留在手上；视频 0.00–0.08 s 未见球离开掌部向球网飞行。断点是正在执行的发球步骤，视频 0.08 s 仅作短片末段的导航锚点，不能定位毫秒级判负时刻。"
+  },
+  "unmet": {
+   "serve_in_court": false
+  },
+  "phenomena": [
+   {
+    "cat": "接触",
+    "item": "没松开",
+    "t": 0.08,
+    "log_step": 141,
+    "evidence_zh": "观察：视频 0.00、0.04、0.08 s 中球均在机器人掌部附近，未见持续离掌飞行；log step 141 的第6回合裁判反馈为“the ball was not tossed: it stayed on the hand”。推断：起球未实现规则要求的持续离手，按没松开标注；不把它解释为夹爪未张开，也不声称球从未发生过短暂离体。"
+   }
+  ],
+  "root_causes": [
+   {
+    "cat": "控制",
+    "item": "控制",
+    "evidence_zh": "推断：log step 135 的脚本安排了左肩、左肘配合的平掌抬升，再推掌起球、收臂及挥击，任务目标与动作顺序相符；log step 139 显示实际回合在抬掌准备阶段即结束，log step 141 的裁判反馈确认未形成合格的离手起球。问题可定位到起球时的手臂与球接触控制，但现有证据不足以区分接触几何、轨迹跟踪或参数问题，因此只标控制。",
+    "source_zh": "日志"
+   }
+  ],
+  "gap_zh": "本次录像仅有视频 0.00、0.04、0.08 s 三帧，远景中掌球接触细节不可分辨，且没有逐帧状态日志。无法独立判定是否先短暂离掌后再次接触、具体接触切换时刻及控制子类；“没松开”依据该评分回合的裁判反馈作持续离手失败的推断。会话前五个回合的试验、agent 自述的摩擦与滑落解释均不作为本次物理现象的直接证据。评分器未报告DAG所列的五项原生指标，均填null。"
+ },
+ "summary_zh": "评分采用最后的第6个实时回合；机器人开始左掌抬升准备，但未形成合法起球，发球入对场节点未达到，最终为0/1。裁判在11个控制步后报告球仍留在手上，断点为发球入对场／操作中，现象为未持续离手，根因仅能定位到控制。录像只有三帧且无状态日志，无法确认短暂离体或再次接触的细节，也无法细分控制原因。",
+ "conf": 6,
+ "review": {
+  "status": "agreed",
+  "rounds": 1,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "agree",
+    "conf": 6,
+    "summary_zh": "评分回合为第6回合（log step 139/141，control_steps=11，裁判 outcome“球未抛起，仍留在手上”，stages 1/4），视频仅3帧，节点未达、断点 serve_in_court 与 final=0 均正确。现象“没松开”和根因“控制”是依据裁判结果的推断，标注已写明为推断且 gap_zh 说明证据缺口，可接受；提醒：回合在11个控制步（约0.11 s，仍在0.9 s抬掌准备的第一块）即结束，推掌起球尚未提交，故该回合的裁判终止时机本身异常，但现有证据无法给出更好的替代标签。",
+    "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": "2026-10-31T00:35:23Z",
+  "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-volleyball-serve-i00-standard--m3xgpwr/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--m3xgpwr/04_review_r1"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "9e3cb9667e23db48db410660848baaaaea74b6f5cca10cc2caf4740f568e128c",
+   "video_sha256": "6df13771b16709bb85a9fbbf03177efff4d356f47d4feee886ea573ee5f2ec23",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}
diff --git a/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--uf2fmln.json b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--uf2fmln.json
new file mode 100644
index 0000000000000000000000000000000000000000..0c4a8e7dbd7e4d3249e06c1d7c06e5e87facccc1
--- /dev/null
+++ b/phase2/embodied-olympics-fun/volleyball_serve/trajectories/embodied-olympics-fun-volleyball-serve-i00-standard--uf2fmln.json
@@ -0,0 +1,230 @@
+{
+ "schema": "efe-trajectory-labels/1",
+ "taxonomy": "v2",
+ "runId": "embodied-olympics-fun-volleyball-serve-i00-standard--uf2fmln",
+ "taskKey": "embodied-olympics-fun/volleyball_serve",
+ "dag_sha256": "f62acf093cdb0c845329dbf04666372fb6bcd96e3df3cf4fa4b0441b8b7e74ed",
+ "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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+   "grader_error": 0,
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+   "sim_crashed_on_call": 0,
+   "instance_mismatch": 0,
+   "n_actions": 227,
+   "sim_steps": 636,
+   "calls": 27,
+   "rows": 261,
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+   "sim_startups": 1,
+   "elapsed_s": 813.3,
+   "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,
+   "peak_memory_gb": 0.303,
+   "peak_processes": 9,
+   "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-volleyball-serve-i00-standard--uf2fmln/replay.mp4",
+  "duration_s": 2.28,
+  "fps": 25.0,
+  "frames": 57,
+  "sha256": "43092707b6f095ec92bba995643c9a6fdedbafe00379fb25ab2a3400d3e06351"
+ },
+ "state": null,
+ "progress": {
+  "method": "visual",
+  "denominator": 1,
+  "base": 0,
+  "peak": 1,
+  "final": 1,
+  "nodes": {
+   "serve_in_court": {
+    "method": "visual",
+    "intervals": [
+     [
+      2.27,
+      null
+     ]
+    ],
+    "final": true,
+    "evidence": [
+     {
+      "t": 0.16,
+      "log_step": 54,
+      "text_zh": "观察：视频 0.00–0.60 s，机器人双脚在近端端线后的蓝色服务区支撑，左掌下托的球上升、与手臂分离；log step 54 为 episode 3 的重置及起球命令。前两次回合的失败不属于这段最终评分视频。"
+     },
+     {
+      "t": 0.72,
+      "log_step": 59,
+      "text_zh": "观察：视频 0.64–0.84 s，机器人左侧手臂向前上方挥动，球由臂旁转为向球网方向快速飞离，右臂未参与击球，双脚仍着地；远景不能分辨具体接触发生在左掌、手腕还是前臂。"
+     },
+     {
+      "t": 1.88,
+      "log_step": null,
+      "text_zh": "观察：视频 1.28–2.24 s 的逐帧画面中，球沿空中弧线接近并通过球网区域，随后下降至远端橙色半场；末段球体很小且部分与网面重叠，机器人始终站立。成功参考视频同视角的越网后下降轨迹用于识别场区，不作为本次成功的证据。"
+     },
+     {
+      "t": 2.24,
+      "log_step": 63,
+      "text_zh": "观察：log step 63 的实时机器人服务（返回本回合裁判状态的接口）报告 episode=3、control_steps=227、sim_time_s=2.27、done=True、reason=success、outcome=success、stages_reached=4/4；run.json 评分字段 live_success=1、graded_by_live=1、finalized=1。视频 2.24 s 末帧未显示与该入场判定矛盾的落点。"
+     },
+     {
+      "t": 2.27,
+      "log_step": 63,
+      "text_zh": "推断：log step 7 的服务规格 control_dt=0.01 s，log step 63 的最终回合 control_steps=227 对应视频约 227×0.01=2.27 s；已用 log step 59 的 control_steps=70 与视频 0.68–0.76 s 的挥臂击出核对。结合视频末段球向对场下降及裁判四阶段成功，发球入对场在视频约 2.27 s 完成并锁存；短时离体、接触跨度和速度合规采用裁判结果，非远景独立测量。"
+     }
+    ],
+    "contact_actual": [
+     {
+      "who": "手指/夹爪",
+      "how": "其他",
+      "note_zh": "观察：视频 0.64–0.84 s，机器人左侧手臂击球并使球向前上方飞离；候选名称“击打”，现有方式没有对应值，且不是合手抓握或持续推扫。此前视频 0.00–0.20 s 左侧开放手掌从球下方承托并起球，随后撤开；两种接触先后发生。远景不能精确区分击球接触点在左掌、腕或前臂。"
+     },
+     {
+      "who": "腿/躯干",
+      "how": "支撑",
+      "note_zh": "观察：视频 0.00–2.24 s，机器人双脚在端线后的服务区地面支撑身体，配合起球和左臂击球，未见起跳或跌倒。"
+     }
+    ]
+   }
+  },
+  "constraints": {}
+ },
+ "native_metrics": [
+  {
+   "name": "speed_in_m_s",
+   "unit": "m/s",
+   "threshold": 5.0,
+   "direction": "lower_better",
+   "value": null
+  },
+  {
+   "name": "speed_out_m_s",
+   "unit": "m/s",
+   "threshold": null,
+   "direction": "higher_better",
+   "value": null
+  },
+  {
+   "name": "landing_x_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "landing_y_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": "target",
+   "value": null
+  },
+  {
+   "name": "ball_height_m",
+   "unit": "m",
+   "threshold": null,
+   "direction": null,
+   "value": null
+  }
+ ],
+ "failure": null,
+ "summary_zh": "最终评分为第三次实时回合：机器人在端线后由左掌起球、左侧手臂击出，球越网后落入对场；实时裁判在视频约 2.27 s 确认四阶段成功，节点完成 1/1，无失败断点。视频已逐帧检查至末帧，但远景和网面重叠限制了精确接触点、毫秒级时序及速度的独立核验，这些条件依裁判成功结果确认；无状态日志，五项原生数值指标均未报告。",
+ "conf": 8,
+ "review": {
+  "status": "agreed",
+  "rounds": 2,
+  "reviewers": [
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 1,
+    "verdict": "fix",
+    "conf": 7,
+    "summary_zh": "成功运行，serve_in_court=true、时间约2.27 s（control_steps×0.01 并以挥臂核对）、无断点，均与视频和裁判字段一致。仅 contact_actual 漏了起球阶段的托/舀接触。",
+    "n_issues": 1,
+    "n_major": 0
+   },
+   {
+    "engine": "claude",
+    "model": "claude-sonnet-5-5",
+    "round": 2,
+    "verdict": "agree",
+    "conf": 7,
+    "summary_zh": "成功运行，serve_in_court=true、约2.27 s（control_steps×0.01）与裁判四阶段成功一致，无断点；第1轮的接触分歧已有依据并解决，无新证据。",
+    "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": "2026-10-31T00:50:29Z",
+  "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-volleyball-serve-i00-standard--uf2fmln/03_label"
+   },
+   {
+    "stage": "traj_review",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--uf2fmln/04_review_r1"
+   },
+   {
+    "stage": "reconcile",
+    "round": 1,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--uf2fmln/05_reconcile_r1"
+   },
+   {
+    "stage": "traj_review",
+    "round": 2,
+    "ok": true,
+    "space": "work/runs/embodied-olympics-fun-volleyball-serve-i00-standard--uf2fmln/04_review_r2"
+   }
+  ],
+  "review_engine": "claude",
+  "review_model": "claude-sonnet-5-5",
+  "inputs": {
+   "run_json_sha256": "02a1a19ecfc03159197c0f1fa7186e18672700a0a89906d73e27ef58c7740751",
+   "video_sha256": "43092707b6f095ec92bba995643c9a6fdedbafe00379fb25ab2a3400d3e06351",
+   "states_sha256": null,
+   "video_choice": "HF replay.mp4"
+  }
+ }
+}