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Add 118 trajectories (phase 2, remaining runs; batch S40)

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  1. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--brqkauh.json +623 -0
  2. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--f7ufkge.json +612 -0
  3. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt.json +669 -0
  4. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--oqgxgoi.json +636 -0
  5. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--q4lfqnl.json +952 -0
  6. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--rspvxxi.json +679 -0
  7. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--xrggpyx.json +615 -0
  8. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--666le3z.json +614 -0
  9. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--bmeevqs.json +619 -0
  10. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--dc3sbap.json +621 -0
  11. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--dmfy7r6.json +621 -0
  12. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--gamsbcf.json +633 -0
  13. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--lmdrcez.json +615 -0
  14. phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--sltxs7d.json +636 -0
  15. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-privileged--g7rtuyu.json +197 -0
  16. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-privileged--ghyqtbm.json +191 -0
  17. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-privileged--kxi6dtp.json +219 -0
  18. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-privileged--njg2uoe.json +171 -0
  19. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-privileged--rkhcqbb.json +176 -0
  20. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-privileged--umhjyt4.json +190 -0
  21. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-privileged--xnvwy57.json +196 -0
  22. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-standard--cxzqwds.json +191 -0
  23. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-standard--fgljdy4.json +191 -0
  24. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-standard--fhjegaj.json +195 -0
  25. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-standard--heqfwxz.json +191 -0
  26. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-standard--lpgnyly.json +186 -0
  27. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-standard--q8pdmdo.json +196 -0
  28. phase2/embodied-olympics-fun/balance_board/trajectories/embodied-olympics-fun-balance-board-i00-standard--zvk2rz4.json +190 -0
  29. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-privileged--9cmu5z2.json +197 -0
  30. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-privileged--awo3eo9.json +197 -0
  31. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-privileged--emdgrga.json +192 -0
  32. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-privileged--mvbpbl7.json +191 -0
  33. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-privileged--rctsezi.json +197 -0
  34. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-privileged--xzhbvuc.json +192 -0
  35. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--6ycvwkd.json +195 -0
  36. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--eptpvpb.json +195 -0
  37. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--fuqux4f.json +214 -0
  38. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--nffpbhq.json +206 -0
  39. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--ttwwtmp.json +218 -0
  40. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--vftxwqj.json +215 -0
  41. phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--wfuqpbk.json +210 -0
  42. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-privileged--6psocwc.json +188 -0
  43. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-privileged--faqssvb.json +203 -0
  44. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-privileged--k689jgz.json +205 -0
  45. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-privileged--o4tm5te.json +183 -0
  46. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-privileged--wtvnnjb.json +207 -0
  47. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-privileged--xkhqcjd.json +202 -0
  48. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-standard--99ih4hk.json +232 -0
  49. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-standard--ikhhnuf.json +205 -0
  50. phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-standard--mumk5p4.json +205 -0
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--brqkauh.json ADDED
@@ -0,0 +1,623 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "efe-trajectory-labels/1",
3
+ "taxonomy": "v2",
4
+ "runId": "embodied-olympics-fun-alpine-slalom-i00-privileged--brqkauh",
5
+ "taskKey": "embodied-olympics-fun/alpine_slalom",
6
+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
7
+ "outcome": {
8
+ "success": 0,
9
+ "reward": 0.0588,
10
+ "source": "catalog",
11
+ "raw": {
12
+ "success": 0,
13
+ "replay_success": 0,
14
+ "deterministic": 1,
15
+ "n_actions": 1273,
16
+ "sim_steps": 1273,
17
+ "horizon": 9000,
18
+ "episode_over": 1,
19
+ "progress": 0.0588,
20
+ "stages_reached": 2,
21
+ "stages_total": 34,
22
+ "fell": 0,
23
+ "replay_s": 24.83,
24
+ "bad_trajectory": 0,
25
+ "metric_gates": 1.0,
26
+ "metric_speed_m_s": 11.212,
27
+ "grader_error": 0,
28
+ "video_rendered": 1,
29
+ "agent_sessions": 317,
30
+ "agent_resets": 0,
31
+ "agent_replays": 5,
32
+ "agent_cost_self_reported": 1,
33
+ "resource_enforced": 0,
34
+ "limits_violation_observed": 0,
35
+ "resource_monitor_missing": 1,
36
+ "peak_gpu_memory_gb": 0.0,
37
+ "peak_memory_gb": 0.0,
38
+ "peak_processes": 0.0,
39
+ "peak_disk_gb": 0.0,
40
+ "resource_emergency_kills": 0,
41
+ "resource_oom_kills": 0,
42
+ "resource_host_oom_kills": 0,
43
+ "resource_service_oom_kills": 0
44
+ }
45
+ },
46
+ "video": {
47
+ "kind": "hf",
48
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--brqkauh/replay.mp4",
49
+ "duration_s": 12.76,
50
+ "fps": 25.0,
51
+ "frames": 319,
52
+ "sha256": "80c1532cd2c86fa21f65736f5e7b9ce14063ecfa5c20eee6cfe59e393306cf3a"
53
+ },
54
+ "state": null,
55
+ "progress": {
56
+ "method": "visual",
57
+ "denominator": 33,
58
+ "base": 0,
59
+ "peak": 1,
60
+ "final": 1,
61
+ "nodes": {
62
+ "gate_1_passed": {
63
+ "method": "visual",
64
+ "intervals": [
65
+ [
66
+ 10.8,
67
+ null
68
+ ]
69
+ ],
70
+ "final": true,
71
+ "evidence": [
72
+ {
73
+ "t": 4.4,
74
+ "log_step": 316,
75
+ "text_zh": "观察:视频4.0–4.8 s机器人双脚带雪板从红色起点线处向坡下移动;视频10.4–11.3 s机器人滑过第一对红杆。log step 316为最终重新生成的交付文件回放,裁判阶段仅列start、gate 1,记录首门事件于仿真10.784 s。"
76
+ },
77
+ {
78
+ "t": 10.8,
79
+ "log_step": 316,
80
+ "text_zh": "推断:最终文件1273个控制步×0.01 s=仿真12.73 s,与视频12.76 s片长吻合;裁判起滑事件仿真4.352 s在视频约4.4 s红线处核对一致,首门事件仿真10.784 s也与视频10.8 s红杆处相符,故将首门到达锚定在视频10.8 s。四个受检点精确过线由该文件裁判记录确认,固定远景无法分别辨认。"
81
+ }
82
+ ],
83
+ "contact_actual": [
84
+ {
85
+ "who": "腿/躯干",
86
+ "how": "支撑",
87
+ "note_zh": "观察:视频0–10.8 s机器人双脚经固定雪板支承在起滑平台及雪坡上,双腿迈动后滑向第1门。"
88
+ }
89
+ ]
90
+ },
91
+ "gate_2_passed": {
92
+ "method": "visual",
93
+ "intervals": [],
94
+ "final": false,
95
+ "evidence": [
96
+ {
97
+ "t": 11.9,
98
+ "log_step": 316,
99
+ "text_zh": "观察:视频11.6–12.72 s机器人仍沿下坡滑行,未横移进入下一对蓝杆间,末帧仍以雪板支承。log step 316最终文件回放报告missed a gate、gate=2,四个受检点left_tip、right_tip、left_foot、right_foot均未过第2门,阶段止于gate 1;评分器metric_gates=1、fell=0。"
100
+ }
101
+ ],
102
+ "contact_actual": [
103
+ {
104
+ "who": "腿/躯干",
105
+ "how": "支撑",
106
+ "note_zh": "观察:视频10.8–12.72 s机器人双脚经固定雪板支承在雪坡上继续下滑,双腿分开、躯干保持抬起,尝试向下一门行进。"
107
+ }
108
+ ]
109
+ },
110
+ "gate_3_passed": {
111
+ "method": "visual",
112
+ "intervals": [],
113
+ "final": false,
114
+ "evidence": [
115
+ {
116
+ "t": 12.72,
117
+ "log_step": 316,
118
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第3门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
119
+ }
120
+ ]
121
+ },
122
+ "gate_4_passed": {
123
+ "method": "visual",
124
+ "intervals": [],
125
+ "final": false,
126
+ "evidence": [
127
+ {
128
+ "t": 12.72,
129
+ "log_step": 316,
130
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第4门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
131
+ }
132
+ ]
133
+ },
134
+ "gate_5_passed": {
135
+ "method": "visual",
136
+ "intervals": [],
137
+ "final": false,
138
+ "evidence": [
139
+ {
140
+ "t": 12.72,
141
+ "log_step": 316,
142
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第5门需依序完成前��门,因此本次未达到该节点;不以远景不可辨本身判断。"
143
+ }
144
+ ]
145
+ },
146
+ "gate_6_passed": {
147
+ "method": "visual",
148
+ "intervals": [],
149
+ "final": false,
150
+ "evidence": [
151
+ {
152
+ "t": 12.72,
153
+ "log_step": 316,
154
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第6门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
155
+ }
156
+ ]
157
+ },
158
+ "gate_7_passed": {
159
+ "method": "visual",
160
+ "intervals": [],
161
+ "final": false,
162
+ "evidence": [
163
+ {
164
+ "t": 12.72,
165
+ "log_step": 316,
166
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第7门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
167
+ }
168
+ ]
169
+ },
170
+ "gate_8_passed": {
171
+ "method": "visual",
172
+ "intervals": [],
173
+ "final": false,
174
+ "evidence": [
175
+ {
176
+ "t": 12.72,
177
+ "log_step": 316,
178
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第8门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
179
+ }
180
+ ]
181
+ },
182
+ "gate_9_passed": {
183
+ "method": "visual",
184
+ "intervals": [],
185
+ "final": false,
186
+ "evidence": [
187
+ {
188
+ "t": 12.72,
189
+ "log_step": 316,
190
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第9门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
191
+ }
192
+ ]
193
+ },
194
+ "gate_10_passed": {
195
+ "method": "visual",
196
+ "intervals": [],
197
+ "final": false,
198
+ "evidence": [
199
+ {
200
+ "t": 12.72,
201
+ "log_step": 316,
202
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第10门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
203
+ }
204
+ ]
205
+ },
206
+ "gate_11_passed": {
207
+ "method": "visual",
208
+ "intervals": [],
209
+ "final": false,
210
+ "evidence": [
211
+ {
212
+ "t": 12.72,
213
+ "log_step": 316,
214
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第11门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
215
+ }
216
+ ]
217
+ },
218
+ "gate_12_passed": {
219
+ "method": "visual",
220
+ "intervals": [],
221
+ "final": false,
222
+ "evidence": [
223
+ {
224
+ "t": 12.72,
225
+ "log_step": 316,
226
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第12门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
227
+ }
228
+ ]
229
+ },
230
+ "gate_13_passed": {
231
+ "method": "visual",
232
+ "intervals": [],
233
+ "final": false,
234
+ "evidence": [
235
+ {
236
+ "t": 12.72,
237
+ "log_step": 316,
238
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第13门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
239
+ }
240
+ ]
241
+ },
242
+ "gate_14_passed": {
243
+ "method": "visual",
244
+ "intervals": [],
245
+ "final": false,
246
+ "evidence": [
247
+ {
248
+ "t": 12.72,
249
+ "log_step": 316,
250
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第14门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
251
+ }
252
+ ]
253
+ },
254
+ "gate_15_passed": {
255
+ "method": "visual",
256
+ "intervals": [],
257
+ "final": false,
258
+ "evidence": [
259
+ {
260
+ "t": 12.72,
261
+ "log_step": 316,
262
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第15门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
263
+ }
264
+ ]
265
+ },
266
+ "gate_16_passed": {
267
+ "method": "visual",
268
+ "intervals": [],
269
+ "final": false,
270
+ "evidence": [
271
+ {
272
+ "t": 12.72,
273
+ "log_step": 316,
274
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第16门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
275
+ }
276
+ ]
277
+ },
278
+ "gate_17_passed": {
279
+ "method": "visual",
280
+ "intervals": [],
281
+ "final": false,
282
+ "evidence": [
283
+ {
284
+ "t": 12.72,
285
+ "log_step": 316,
286
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第17门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
287
+ }
288
+ ]
289
+ },
290
+ "gate_18_passed": {
291
+ "method": "visual",
292
+ "intervals": [],
293
+ "final": false,
294
+ "evidence": [
295
+ {
296
+ "t": 12.72,
297
+ "log_step": 316,
298
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第18门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
299
+ }
300
+ ]
301
+ },
302
+ "gate_19_passed": {
303
+ "method": "visual",
304
+ "intervals": [],
305
+ "final": false,
306
+ "evidence": [
307
+ {
308
+ "t": 12.72,
309
+ "log_step": 316,
310
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第19门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
311
+ }
312
+ ]
313
+ },
314
+ "gate_20_passed": {
315
+ "method": "visual",
316
+ "intervals": [],
317
+ "final": false,
318
+ "evidence": [
319
+ {
320
+ "t": 12.72,
321
+ "log_step": 316,
322
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第20门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
323
+ }
324
+ ]
325
+ },
326
+ "gate_21_passed": {
327
+ "method": "visual",
328
+ "intervals": [],
329
+ "final": false,
330
+ "evidence": [
331
+ {
332
+ "t": 12.72,
333
+ "log_step": 316,
334
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第21门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
335
+ }
336
+ ]
337
+ },
338
+ "gate_22_passed": {
339
+ "method": "visual",
340
+ "intervals": [],
341
+ "final": false,
342
+ "evidence": [
343
+ {
344
+ "t": 12.72,
345
+ "log_step": 316,
346
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第22门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
347
+ }
348
+ ]
349
+ },
350
+ "gate_23_passed": {
351
+ "method": "visual",
352
+ "intervals": [],
353
+ "final": false,
354
+ "evidence": [
355
+ {
356
+ "t": 12.72,
357
+ "log_step": 316,
358
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第23门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
359
+ }
360
+ ]
361
+ },
362
+ "gate_24_passed": {
363
+ "method": "visual",
364
+ "intervals": [],
365
+ "final": false,
366
+ "evidence": [
367
+ {
368
+ "t": 12.72,
369
+ "log_step": 316,
370
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第24门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
371
+ }
372
+ ]
373
+ },
374
+ "gate_25_passed": {
375
+ "method": "visual",
376
+ "intervals": [],
377
+ "final": false,
378
+ "evidence": [
379
+ {
380
+ "t": 12.72,
381
+ "log_step": 316,
382
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第25门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
383
+ }
384
+ ]
385
+ },
386
+ "gate_26_passed": {
387
+ "method": "visual",
388
+ "intervals": [],
389
+ "final": false,
390
+ "evidence": [
391
+ {
392
+ "t": 12.72,
393
+ "log_step": 316,
394
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第26门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
395
+ }
396
+ ]
397
+ },
398
+ "gate_27_passed": {
399
+ "method": "visual",
400
+ "intervals": [],
401
+ "final": false,
402
+ "evidence": [
403
+ {
404
+ "t": 12.72,
405
+ "log_step": 316,
406
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第27门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
407
+ }
408
+ ]
409
+ },
410
+ "gate_28_passed": {
411
+ "method": "visual",
412
+ "intervals": [],
413
+ "final": false,
414
+ "evidence": [
415
+ {
416
+ "t": 12.72,
417
+ "log_step": 316,
418
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第28门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
419
+ }
420
+ ]
421
+ },
422
+ "gate_29_passed": {
423
+ "method": "visual",
424
+ "intervals": [],
425
+ "final": false,
426
+ "evidence": [
427
+ {
428
+ "t": 12.72,
429
+ "log_step": 316,
430
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第29门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
431
+ }
432
+ ]
433
+ },
434
+ "gate_30_passed": {
435
+ "method": "visual",
436
+ "intervals": [],
437
+ "final": false,
438
+ "evidence": [
439
+ {
440
+ "t": 12.72,
441
+ "log_step": 316,
442
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第30门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
443
+ }
444
+ ]
445
+ },
446
+ "gate_31_passed": {
447
+ "method": "visual",
448
+ "intervals": [],
449
+ "final": false,
450
+ "evidence": [
451
+ {
452
+ "t": 12.72,
453
+ "log_step": 316,
454
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第31门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
455
+ }
456
+ ]
457
+ },
458
+ "gate_32_passed": {
459
+ "method": "visual",
460
+ "intervals": [],
461
+ "final": false,
462
+ "evidence": [
463
+ {
464
+ "t": 12.72,
465
+ "log_step": 316,
466
+ "text_zh": "推断:视频12.72 s本次机器人仍在前几道旗门附近;log step 316最终交付文件的裁判阶段仅start、gate 1,并在第2门漏门后立即结束,评分器metric_gates=1。第32门需依序完成前置门,因此本次未达到该节点;不以远景不可辨本身判断。"
467
+ }
468
+ ]
469
+ },
470
+ "finish_crossed": {
471
+ "method": "visual",
472
+ "intervals": [],
473
+ "final": false,
474
+ "evidence": [
475
+ {
476
+ "t": 12.72,
477
+ "log_step": 316,
478
+ "text_zh": "推断:视频12.72 s机器人仍在赛道前段,log step 316最终交付回放仅通过第1门并因漏第2门结束,评分器metric_gates=1;未完成32门前置,也未越过终点。"
479
+ }
480
+ ]
481
+ }
482
+ },
483
+ "constraints": {}
484
+ },
485
+ "native_metrics": [
486
+ {
487
+ "name": "gates",
488
+ "unit": "count",
489
+ "threshold": 32,
490
+ "direction": "higher_better",
491
+ "value": 1.0
492
+ },
493
+ {
494
+ "name": "speed_m_s",
495
+ "unit": "m/s",
496
+ "threshold": 0.1,
497
+ "direction": "higher_better",
498
+ "value": 11.212
499
+ },
500
+ {
501
+ "name": "time_s",
502
+ "unit": "s",
503
+ "threshold": null,
504
+ "direction": "lower_better",
505
+ "value": null
506
+ }
507
+ ],
508
+ "failure": {
509
+ "breakpoint": {
510
+ "ref": "gate_2_passed",
511
+ "t": 11.9,
512
+ "log_step": 316,
513
+ "where": "操作中",
514
+ "evidence_zh": "观察:视频约11.9 s机器人向下坡通过第二道旗门所在区域,却沿首门一侧继续滑行,没有进入蓝色两杆之间;到视频12.72 s仍未修复。log step 316最终交付文件裁判记录gate 2四个受检点漏门,并在仿真12.729 s判missed a gate;这是完成第2门期间的路线失败。"
515
+ },
516
+ "unmet": {
517
+ "gate_1_passed": true,
518
+ "gate_2_passed": false,
519
+ "gate_3_passed": false,
520
+ "gate_4_passed": false,
521
+ "gate_5_passed": false,
522
+ "gate_6_passed": false,
523
+ "gate_7_passed": false,
524
+ "gate_8_passed": false,
525
+ "gate_9_passed": false,
526
+ "gate_10_passed": false,
527
+ "gate_11_passed": false,
528
+ "gate_12_passed": false,
529
+ "gate_13_passed": false,
530
+ "gate_14_passed": false,
531
+ "gate_15_passed": false,
532
+ "gate_16_passed": false,
533
+ "gate_17_passed": false,
534
+ "gate_18_passed": false,
535
+ "gate_19_passed": false,
536
+ "gate_20_passed": false,
537
+ "gate_21_passed": false,
538
+ "gate_22_passed": false,
539
+ "gate_23_passed": false,
540
+ "gate_24_passed": false,
541
+ "gate_25_passed": false,
542
+ "gate_26_passed": false,
543
+ "gate_27_passed": false,
544
+ "gate_28_passed": false,
545
+ "gate_29_passed": false,
546
+ "gate_30_passed": false,
547
+ "gate_31_passed": false,
548
+ "gate_32_passed": false,
549
+ "finish_crossed": false
550
+ },
551
+ "phenomena": [
552
+ {
553
+ "cat": "全身",
554
+ "item": "步态",
555
+ "t": 11.9,
556
+ "log_step": 316,
557
+ "evidence_zh": "观察:视频11.6–12.72 s机器人继续滑行、身体未倒地,却未向相反侧横移进第2道蓝色旗门。最终文件裁判在log step 316仅记1门,并点名第2门四个受检点均漏过;评分器fell=0。表现为滑行路线偏离所需门区。"
558
+ }
559
+ ],
560
+ "root_causes": [
561
+ {
562
+ "cat": "控制",
563
+ "item": "控制",
564
+ "source_zh": "日志",
565
+ "evidence_zh": "推断:log step 253所读交付生成脚本使用行走控制器起滑,随后切换到跑步控制器,给定转向命令并叠加髋滚转反馈及加宽站距;目标是右转进入第2门而非选错门。log step 203将已保存的同一文件逐行回放,报告控制步索引1179时骨盆x=20.51 m、y=3.45 m,索引1217时x=24.05 m、y=3.39 m,均留在正y侧,而第2门要求负y区间[-4.8,-0.8] m;该回放终态哈希与log step 316最终文件相同。结合视频11.6–12.72 s的偏航迹象,现有控制未实现所需横向转弯。证据不足以细分为参数、反馈跟踪或接触设计问题。"
566
+ }
567
+ ],
568
+ "gap_zh": "无逐帧状态日志;固定远景中双脚和两板尖很小,首门四点验收及后续未达依赖最终交付文件的裁判阶段记录,并已与视频位置和时长核对。无法可靠确认手掌是否触雪,也不能从画面分解转弯不足的关节跟踪、板刃或力学原因,根因只标控制。原生比赛净用时time_s未在评分器metrics中报告,回放time_s=12.73是回合时长,不冒充净比赛用时。"
569
+ },
570
+ "summary_zh": "机器人自行起滑并于视频约10.8 s通过第1门,最终完成1/33个DAG节点;评分器的2/34原生阶段还包含起滑阶段。视频约11.9–12.72 s机器人继续下滑但未横移进入第2门,最终交付文件裁判明确判漏第2门、未摔倒;已知转向目标下的横向控制未奏效。固定远景无法逐一辨认四个过门受检点,精确验收由该文件确定性回放记录补足,控制子类仍不确定。",
571
+ "conf": 8,
572
+ "review": {
573
+ "status": "agreed",
574
+ "rounds": 1,
575
+ "reviewers": [
576
+ {
577
+ "engine": "claude",
578
+ "model": "claude-sonnet-5-5",
579
+ "round": 1,
580
+ "verdict": "agree",
581
+ "conf": 7,
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+ "summary_zh": "标签与视频、最终回放记录一致:第1门约视频10.8 s通过(裁判仿真10.784 s),第2门漏门,断点gate_2_passed,步态+控制的归因有证据支持,未发现需改内容的错误。",
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+ "n_issues": 0,
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+ "n_major": 0
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+ }
586
+ ],
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:42:03Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ "ok": true,
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+ {
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+ "stage": "traj_review",
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+ "round": 1,
610
+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--brqkauh/04_review_r1"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "fd471c55cd25f82b6231cc9acd5ddd1a599845382b62ad40114f6b0c3e8f74e8",
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+ "video_sha256": "80c1532cd2c86fa21f65736f5e7b9ce14063ecfa5c20eee6cfe59e393306cf3a",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ }
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+ }
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+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--f7ufkge.json ADDED
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1
+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-alpine-slalom-i00-privileged--f7ufkge",
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+ "taskKey": "embodied-olympics-fun/alpine_slalom",
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+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
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+ "reward": 0.0,
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+ "source": "catalog",
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+ "success": 0,
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+ "deterministic": 1,
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+ "n_actions": 2000,
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+ "horizon": 9000,
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+ "episode_over": 1,
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+ "progress": 0.0,
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+ "stages_reached": 0,
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+ "stages_total": 34,
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+ "fell": 0,
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+ "replay_s": 21.58,
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+ "bad_trajectory": 0,
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+ "metric_speed_m_s": 0.0,
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+ "grader_error": 0,
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+ "video_rendered": 1,
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+ "agent_sessions": 48,
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+ "agent_resets": 0,
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+ "agent_replays": 1,
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+ "agent_cost_self_reported": 1,
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+ "resource_enforced": 0,
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+ "limits_violation_observed": 0,
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+ "resource_monitor_missing": 0,
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+ "peak_memory_gb": 1.094,
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+ "peak_processes": 13,
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+ "peak_disk_gb": 0.241,
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+ "resource_emergency_kills": 0,
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+ "resource_oom_kills": 0,
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+ "resource_host_oom_kills": 0,
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+ "resource_service_oom_kills": 0,
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+ "session_log_tampered": 0,
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+ "session_log_from_monitor": 0
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+ }
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+ },
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+ "video": {
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+ "kind": "hf",
49
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--f7ufkge/replay.mp4",
50
+ "duration_s": 20.04,
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+ "fps": 25.0,
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+ "frames": 501,
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+ "sha256": "67d1a068a500bb7899eb599daca5066a642519fa7876786e26753b6d3380f434"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 33,
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+ "base": 0,
60
+ "peak": 0,
61
+ "final": 0,
62
+ "nodes": {
63
+ "gate_1_passed": {
64
+ "method": "visual",
65
+ "intervals": [],
66
+ "final": false,
67
+ "evidence": [
68
+ {
69
+ "t": 3.5,
70
+ "log_step": null,
71
+ "text_zh": "观察:视频 0.0–4.0 s 的起点放大帧显示,机器人由站立逐渐屈髋、上身俯低,双脚和雪板仍留在起点红线上坡侧,没有向第一对红杆滑行。"
72
+ },
73
+ {
74
+ "t": 20.0,
75
+ "log_step": 79,
76
+ "text_zh": "观察:视频 10.0、19.0、19.6、20.0 s,机器人保持起点处的屈身姿态,双脚未越过红线。log step 77 保存了2000行动作;log step 79 对该交付文件的回放报告 failed=\"did not start\"、stages=[]、executed_rows=2000,评分器 reward.stages_reached=0、fell=0,与画面相符。"
77
+ }
78
+ ],
79
+ "contact_actual": [
80
+ {
81
+ "who": "腿/躯干",
82
+ "how": "支撑",
83
+ "note_zh": "观察:视频 0.25–4.0 s 及19.0–20.0 s,机器人双脚经各自固定雪板支承在雪面上,以腿和躯干屈身调姿尝试起滑,但雪板未把双脚带过起点红线。"
84
+ }
85
+ ]
86
+ },
87
+ "gate_2_passed": {
88
+ "method": "visual",
89
+ "intervals": [],
90
+ "final": false,
91
+ "evidence": [
92
+ {
93
+ "t": 20.0,
94
+ "log_step": 79,
95
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第2门及其过门前置条件均未达成,未尝试此门。"
96
+ }
97
+ ]
98
+ },
99
+ "gate_3_passed": {
100
+ "method": "visual",
101
+ "intervals": [],
102
+ "final": false,
103
+ "evidence": [
104
+ {
105
+ "t": 20.0,
106
+ "log_step": 79,
107
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第3门及其过门前置条件均未达成,未尝试此门。"
108
+ }
109
+ ]
110
+ },
111
+ "gate_4_passed": {
112
+ "method": "visual",
113
+ "intervals": [],
114
+ "final": false,
115
+ "evidence": [
116
+ {
117
+ "t": 20.0,
118
+ "log_step": 79,
119
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第4门及其过门前置条件均未达成,未尝试此门。"
120
+ }
121
+ ]
122
+ },
123
+ "gate_5_passed": {
124
+ "method": "visual",
125
+ "intervals": [],
126
+ "final": false,
127
+ "evidence": [
128
+ {
129
+ "t": 20.0,
130
+ "log_step": 79,
131
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第5门及其过门前置条件均未达成,未尝试此门。"
132
+ }
133
+ ]
134
+ },
135
+ "gate_6_passed": {
136
+ "method": "visual",
137
+ "intervals": [],
138
+ "final": false,
139
+ "evidence": [
140
+ {
141
+ "t": 20.0,
142
+ "log_step": 79,
143
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第6门及其过门前置条件均未达成,未尝试此门。"
144
+ }
145
+ ]
146
+ },
147
+ "gate_7_passed": {
148
+ "method": "visual",
149
+ "intervals": [],
150
+ "final": false,
151
+ "evidence": [
152
+ {
153
+ "t": 20.0,
154
+ "log_step": 79,
155
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第7门及其过门前置条件均未达成,未尝试此门。"
156
+ }
157
+ ]
158
+ },
159
+ "gate_8_passed": {
160
+ "method": "visual",
161
+ "intervals": [],
162
+ "final": false,
163
+ "evidence": [
164
+ {
165
+ "t": 20.0,
166
+ "log_step": 79,
167
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第8门及其过门前置条件均未达成,未尝试此门。"
168
+ }
169
+ ]
170
+ },
171
+ "gate_9_passed": {
172
+ "method": "visual",
173
+ "intervals": [],
174
+ "final": false,
175
+ "evidence": [
176
+ {
177
+ "t": 20.0,
178
+ "log_step": 79,
179
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第9门及其过门前置条件均未达成,未尝试此门。"
180
+ }
181
+ ]
182
+ },
183
+ "gate_10_passed": {
184
+ "method": "visual",
185
+ "intervals": [],
186
+ "final": false,
187
+ "evidence": [
188
+ {
189
+ "t": 20.0,
190
+ "log_step": 79,
191
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第10门及其过门前置条件均未达成,未尝试此门。"
192
+ }
193
+ ]
194
+ },
195
+ "gate_11_passed": {
196
+ "method": "visual",
197
+ "intervals": [],
198
+ "final": false,
199
+ "evidence": [
200
+ {
201
+ "t": 20.0,
202
+ "log_step": 79,
203
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第11门及其过门前置条件均未达成,未尝试此门。"
204
+ }
205
+ ]
206
+ },
207
+ "gate_12_passed": {
208
+ "method": "visual",
209
+ "intervals": [],
210
+ "final": false,
211
+ "evidence": [
212
+ {
213
+ "t": 20.0,
214
+ "log_step": 79,
215
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第12门及其过门前置条件均未达成,未尝试此门。"
216
+ }
217
+ ]
218
+ },
219
+ "gate_13_passed": {
220
+ "method": "visual",
221
+ "intervals": [],
222
+ "final": false,
223
+ "evidence": [
224
+ {
225
+ "t": 20.0,
226
+ "log_step": 79,
227
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第13门及其过门前置条件均未达成,未尝试此门。"
228
+ }
229
+ ]
230
+ },
231
+ "gate_14_passed": {
232
+ "method": "visual",
233
+ "intervals": [],
234
+ "final": false,
235
+ "evidence": [
236
+ {
237
+ "t": 20.0,
238
+ "log_step": 79,
239
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第14门及其过门前置条件均未达成,未尝试此门。"
240
+ }
241
+ ]
242
+ },
243
+ "gate_15_passed": {
244
+ "method": "visual",
245
+ "intervals": [],
246
+ "final": false,
247
+ "evidence": [
248
+ {
249
+ "t": 20.0,
250
+ "log_step": 79,
251
+ "text_zh": "推断:��频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第15门及其过门前置条件均未达成,未尝试此门。"
252
+ }
253
+ ]
254
+ },
255
+ "gate_16_passed": {
256
+ "method": "visual",
257
+ "intervals": [],
258
+ "final": false,
259
+ "evidence": [
260
+ {
261
+ "t": 20.0,
262
+ "log_step": 79,
263
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第16门及其过门前置条件均未达成,未尝试此门。"
264
+ }
265
+ ]
266
+ },
267
+ "gate_17_passed": {
268
+ "method": "visual",
269
+ "intervals": [],
270
+ "final": false,
271
+ "evidence": [
272
+ {
273
+ "t": 20.0,
274
+ "log_step": 79,
275
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第17门及其过门前置条件均未达成,未尝试此门。"
276
+ }
277
+ ]
278
+ },
279
+ "gate_18_passed": {
280
+ "method": "visual",
281
+ "intervals": [],
282
+ "final": false,
283
+ "evidence": [
284
+ {
285
+ "t": 20.0,
286
+ "log_step": 79,
287
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第18门及其过门前置条件均未达成,未尝试此门。"
288
+ }
289
+ ]
290
+ },
291
+ "gate_19_passed": {
292
+ "method": "visual",
293
+ "intervals": [],
294
+ "final": false,
295
+ "evidence": [
296
+ {
297
+ "t": 20.0,
298
+ "log_step": 79,
299
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第19门及其过门前置条件均未达成,未尝试此门。"
300
+ }
301
+ ]
302
+ },
303
+ "gate_20_passed": {
304
+ "method": "visual",
305
+ "intervals": [],
306
+ "final": false,
307
+ "evidence": [
308
+ {
309
+ "t": 20.0,
310
+ "log_step": 79,
311
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第20门及其过门前置条件均未达成,未尝试此门。"
312
+ }
313
+ ]
314
+ },
315
+ "gate_21_passed": {
316
+ "method": "visual",
317
+ "intervals": [],
318
+ "final": false,
319
+ "evidence": [
320
+ {
321
+ "t": 20.0,
322
+ "log_step": 79,
323
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第21门及其过门前置条件均未达成,未尝试此门。"
324
+ }
325
+ ]
326
+ },
327
+ "gate_22_passed": {
328
+ "method": "visual",
329
+ "intervals": [],
330
+ "final": false,
331
+ "evidence": [
332
+ {
333
+ "t": 20.0,
334
+ "log_step": 79,
335
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第22门及其过门前置条件均未达成,未尝试此门。"
336
+ }
337
+ ]
338
+ },
339
+ "gate_23_passed": {
340
+ "method": "visual",
341
+ "intervals": [],
342
+ "final": false,
343
+ "evidence": [
344
+ {
345
+ "t": 20.0,
346
+ "log_step": 79,
347
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第23门及其过门前置条件均未达成,未尝试此门。"
348
+ }
349
+ ]
350
+ },
351
+ "gate_24_passed": {
352
+ "method": "visual",
353
+ "intervals": [],
354
+ "final": false,
355
+ "evidence": [
356
+ {
357
+ "t": 20.0,
358
+ "log_step": 79,
359
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线��坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第24门及其过门前置条件均未达成,未尝试此门。"
360
+ }
361
+ ]
362
+ },
363
+ "gate_25_passed": {
364
+ "method": "visual",
365
+ "intervals": [],
366
+ "final": false,
367
+ "evidence": [
368
+ {
369
+ "t": 20.0,
370
+ "log_step": 79,
371
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第25门及其过门前置条件均未达成,未尝试此门。"
372
+ }
373
+ ]
374
+ },
375
+ "gate_26_passed": {
376
+ "method": "visual",
377
+ "intervals": [],
378
+ "final": false,
379
+ "evidence": [
380
+ {
381
+ "t": 20.0,
382
+ "log_step": 79,
383
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第26门及其过门前置条件均未达成,未尝试此门。"
384
+ }
385
+ ]
386
+ },
387
+ "gate_27_passed": {
388
+ "method": "visual",
389
+ "intervals": [],
390
+ "final": false,
391
+ "evidence": [
392
+ {
393
+ "t": 20.0,
394
+ "log_step": 79,
395
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第27门及其过门前置条件均未达成,未尝试此门。"
396
+ }
397
+ ]
398
+ },
399
+ "gate_28_passed": {
400
+ "method": "visual",
401
+ "intervals": [],
402
+ "final": false,
403
+ "evidence": [
404
+ {
405
+ "t": 20.0,
406
+ "log_step": 79,
407
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第28门及其过门前置条件均未达成,未尝试此门。"
408
+ }
409
+ ]
410
+ },
411
+ "gate_29_passed": {
412
+ "method": "visual",
413
+ "intervals": [],
414
+ "final": false,
415
+ "evidence": [
416
+ {
417
+ "t": 20.0,
418
+ "log_step": 79,
419
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第29门及其过门前置条件均未达成,未尝试此门。"
420
+ }
421
+ ]
422
+ },
423
+ "gate_30_passed": {
424
+ "method": "visual",
425
+ "intervals": [],
426
+ "final": false,
427
+ "evidence": [
428
+ {
429
+ "t": 20.0,
430
+ "log_step": 79,
431
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第30门及其过门前置条件均未达成,未尝试此门。"
432
+ }
433
+ ]
434
+ },
435
+ "gate_31_passed": {
436
+ "method": "visual",
437
+ "intervals": [],
438
+ "final": false,
439
+ "evidence": [
440
+ {
441
+ "t": 20.0,
442
+ "log_step": 79,
443
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第31门及其过门前置条件均未达成,未尝试此门。"
444
+ }
445
+ ]
446
+ },
447
+ "gate_32_passed": {
448
+ "method": "visual",
449
+ "intervals": [],
450
+ "final": false,
451
+ "evidence": [
452
+ {
453
+ "t": 20.0,
454
+ "log_step": 79,
455
+ "text_zh": "推断:视频 0.0–20.0 s 的全程抽帧以及视频 19.0–20.0 s 的密集末秒帧显示机器人一直在起点红线上坡侧,未滑入任何旗门区域;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。故第32门及其过门前置条件均未达成,未尝试此门。"
456
+ }
457
+ ]
458
+ },
459
+ "finish_crossed": {
460
+ "method": "visual",
461
+ "intervals": [],
462
+ "final": false,
463
+ "evidence": [
464
+ {
465
+ "t": 20.0,
466
+ "log_step": 79,
467
+ "text_zh": "推断:视频全程抽帧及视频 19.0–20.0 s 的末秒帧中,机器人始终留在起点红线上坡侧,未驶入赛道;log step 79 对交付文件的回放报告 stages=[]、failed=\"did not start\",评分器 reward.stages_reached=0。因此32门的前置条件与越过终点均未达成,未尝试此步。"
468
+ }
469
+ ]
470
+ }
471
+ },
472
+ "constraints": {}
473
+ },
474
+ "native_metrics": [
475
+ {
476
+ "name": "gates",
477
+ "unit": "count",
478
+ "threshold": 32,
479
+ "direction": "higher_better",
480
+ "value": null
481
+ },
482
+ {
483
+ "name": "speed_m_s",
484
+ "unit": "m/s",
485
+ "threshold": 0.1,
486
+ "direction": "higher_better",
487
+ "value": 0.0
488
+ },
489
+ {
490
+ "name": "time_s",
491
+ "unit": "s",
492
+ "threshold": null,
493
+ "direction": "lower_better",
494
+ "value": null
495
+ }
496
+ ],
497
+ "failure": {
498
+ "breakpoint": {
499
+ "ref": "gate_1_passed",
500
+ "t": 3.5,
501
+ "log_step": 77,
502
+ "where": "操作中",
503
+ "evidence_zh": "观察:视频 1.25–3.5 s,机器人持续屈身调姿却未将双脚带过起点红线,随后至视频 20.0 s 仍停在原处,未向第一门行进;首门判据包含自行起滑。log step 77 保存的2000步轨迹及 log step 79 对同一文件的回放均报告 did not start。视频约3.5 s 是屈身后停住的导航锚点。"
504
+ },
505
+ "unmet": {
506
+ "gate_1_passed": false,
507
+ "gate_2_passed": false,
508
+ "gate_3_passed": false,
509
+ "gate_4_passed": false,
510
+ "gate_5_passed": false,
511
+ "gate_6_passed": false,
512
+ "gate_7_passed": false,
513
+ "gate_8_passed": false,
514
+ "gate_9_passed": false,
515
+ "gate_10_passed": false,
516
+ "gate_11_passed": false,
517
+ "gate_12_passed": false,
518
+ "gate_13_passed": false,
519
+ "gate_14_passed": false,
520
+ "gate_15_passed": false,
521
+ "gate_16_passed": false,
522
+ "gate_17_passed": false,
523
+ "gate_18_passed": false,
524
+ "gate_19_passed": false,
525
+ "gate_20_passed": false,
526
+ "gate_21_passed": false,
527
+ "gate_22_passed": false,
528
+ "gate_23_passed": false,
529
+ "gate_24_passed": false,
530
+ "gate_25_passed": false,
531
+ "gate_26_passed": false,
532
+ "gate_27_passed": false,
533
+ "gate_28_passed": false,
534
+ "gate_29_passed": false,
535
+ "gate_30_passed": false,
536
+ "gate_31_passed": false,
537
+ "gate_32_passed": false,
538
+ "finish_crossed": false
539
+ },
540
+ "phenomena": [
541
+ {
542
+ "cat": "全身",
543
+ "item": "步态",
544
+ "t": 3.5,
545
+ "log_step": 79,
546
+ "evidence_zh": "观察:视频 0.0–4.0 s,机器人从站立变为上身俯低、双腿弯曲的姿态,雪板只有小幅位移,双脚没有越过红线;视频 10.0 s 以及19.0–20.0 s 姿态与位置基本不再变化,始终未滑入赛道。log step 79 的交付回放为 did not start,评分器 reward.fell=0;本次受评尝试是起滑行进不足。"
547
+ }
548
+ ],
549
+ "root_causes": [
550
+ {
551
+ "cat": "控制",
552
+ "item": "控制",
553
+ "source_zh": "日志 / 视频",
554
+ "evidence_zh": "推断:log step 66 的生成脚本以逐渐增大双侧 hip_pitch 目标来尝试从平台起滑,log step 72 改用 joints,log step 77 将这些命令经 s.step 记录并保存;log step 79 验证该文件仍未起滑。视频 1.25–4.0 s 对应可见的屈身动作,随后一直停在起点,说明交付的关节运动方案未产生所需的前向滑移。现有证据支持起滑控制未奏效,不能确定具体增益、接触力或反馈环节。"
555
+ }
556
+ ],
557
+ "gap_zh": "观察:inputs/ 中没有状态日志;固定远景放大后可判断机器人始终未出发,但不能测定雪板接触力、重心和关节跟踪误差,因此控制根因不细分。log step 79 后的试滑、深蹲和摔倒属于会话测试,log step 98 确认交付仍为2000行文件,未将测试中的摔倒用于本次现象。原生 gates 和 time_s 未在 run.json 的 reward 中直接报告,按规则记为null。"
558
+ },
559
+ "summary_zh": "受评轨迹只在起点屈身调姿,始终未将双脚带过红线,32道旗门及终点均未达成,最终为0/33。断点为通过第1门所包含的起滑阶段:关节调姿未产生足够前向滑移,现象为步态,根因保留为控制;交付回放明确报告 did not start。没有状态日志,接触力和具体控制失效环节无法细分,会话后续测试中的摔倒不属于受评轨迹。",
560
+ "conf": 8,
561
+ "review": {
562
+ "status": "agreed",
563
+ "rounds": 1,
564
+ "reviewers": [
565
+ {
566
+ "engine": "claude",
567
+ "model": "claude-sonnet-5-5",
568
+ "round": 1,
569
+ "verdict": "agree",
570
+ "conf": 7,
571
+ "summary_zh": "视频0–20 s 机器人只在起点屈身,未越过红线,gate_1 起所有节点为假、0/33 与评分器 stages_reached=0 一致;断点、步态现象和控制根因有证据支持,未发现需改动之处。",
572
+ "n_issues": 0,
573
+ "n_major": 0
574
+ }
575
+ ],
576
+ "open_zh": []
577
+ },
578
+ "provenance": {
579
+ "prompt": "prompts/03_trajectory.md",
580
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
581
+ "engine": "codex",
582
+ "model": "gpt-6.1-sol",
583
+ "effort": "high",
584
+ "created": "2026-10-31T00:40:07Z",
585
+ "review_prompt": "prompts/04_trajectory_review.md",
586
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
587
+ "reconcile_prompt": "prompts/05_reconcile.md",
588
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
589
+ "calls": [
590
+ {
591
+ "stage": "traj",
592
+ "round": 0,
593
+ "ok": true,
594
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--f7ufkge/03_label"
595
+ },
596
+ {
597
+ "stage": "traj_review",
598
+ "round": 1,
599
+ "ok": true,
600
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--f7ufkge/04_review_r1"
601
+ }
602
+ ],
603
+ "review_engine": "claude",
604
+ "review_model": "claude-sonnet-5-5",
605
+ "inputs": {
606
+ "run_json_sha256": "d8f24005340e823d30e334f9e46d7fc883faa17345570a304e3a35d797cc2a42",
607
+ "video_sha256": "67d1a068a500bb7899eb599daca5066a642519fa7876786e26753b6d3380f434",
608
+ "states_sha256": null,
609
+ "video_choice": "HF replay.mp4"
610
+ }
611
+ }
612
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt.json ADDED
@@ -0,0 +1,669 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "efe-trajectory-labels/1",
3
+ "taxonomy": "v2",
4
+ "runId": "embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt",
5
+ "taskKey": "embodied-olympics-fun/alpine_slalom",
6
+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
7
+ "outcome": {
8
+ "success": 0,
9
+ "reward": 0.0882,
10
+ "source": "catalog",
11
+ "raw": {
12
+ "success": 0,
13
+ "replay_success": 0,
14
+ "deterministic": 1,
15
+ "n_actions": 1192,
16
+ "sim_steps": 1192,
17
+ "horizon": 9000,
18
+ "episode_over": 1,
19
+ "progress": 0.0882,
20
+ "stages_reached": 3,
21
+ "stages_total": 34,
22
+ "fell": 0,
23
+ "replay_s": 15.23,
24
+ "bad_trajectory": 0,
25
+ "metric_gates": 2.0,
26
+ "metric_speed_m_s": 10.227,
27
+ "grader_error": 0,
28
+ "video_rendered": 1,
29
+ "agent_sessions": 85,
30
+ "agent_resets": 33,
31
+ "agent_replays": 0,
32
+ "agent_cost_self_reported": 1,
33
+ "resource_enforced": 0,
34
+ "limits_violation_observed": 0,
35
+ "resource_monitor_missing": 0,
36
+ "peak_gpu_memory_gb": 0.0,
37
+ "peak_memory_gb": 2.882,
38
+ "peak_processes": 14,
39
+ "peak_disk_gb": 0.265,
40
+ "resource_emergency_kills": 0,
41
+ "resource_oom_kills": 0,
42
+ "resource_host_oom_kills": 0,
43
+ "resource_service_oom_kills": 0,
44
+ "session_log_tampered": 0,
45
+ "session_log_from_monitor": 0
46
+ }
47
+ },
48
+ "video": {
49
+ "kind": "hf",
50
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt/replay.mp4",
51
+ "duration_s": 11.96,
52
+ "fps": 25.0,
53
+ "frames": 299,
54
+ "sha256": "53b5dbcd011c14fa99e3362a410b304b3b575f6533ac77718ed8ebf40f08f8fe"
55
+ },
56
+ "state": null,
57
+ "progress": {
58
+ "method": "visual",
59
+ "denominator": 33,
60
+ "base": 0,
61
+ "peak": 2,
62
+ "final": 2,
63
+ "nodes": {
64
+ "gate_1_passed": {
65
+ "method": "visual",
66
+ "intervals": [
67
+ [
68
+ 8.6,
69
+ null
70
+ ]
71
+ ],
72
+ "final": true,
73
+ "evidence": [
74
+ {
75
+ "t": 8.6,
76
+ "log_step": null,
77
+ "text_zh": "观察:视频 8.2–9.0 s,机器人以双脚固定的雪板支承滑过第1对旗杆附近,随后继续下坡;inputs/run.json 的评分器 reward.metric_gates=2、stages_reached=3(起滑加前两门)、deterministic=1。"
78
+ },
79
+ {
80
+ "t": 8.6,
81
+ "log_step": null,
82
+ "text_zh": "推断:结合视频中的门序、滑行位置和评分器两门计数,第1门已被裁判接受;视频约 8.6 s 为视觉过门锚点,误差约0.4秒。远景不能独立分清两脚和两板尖的各自越线瞬间,不把躯干越线单独当作验收。"
83
+ }
84
+ ],
85
+ "contact_actual": [
86
+ {
87
+ "who": "腿/躯干",
88
+ "how": "支撑",
89
+ "note_zh": "观察:视频 8.2–9.0 s,机器人双脚连着雪板在雪面上支承身体并滑行经过第1门;腿部随转向改变姿态。"
90
+ }
91
+ ]
92
+ },
93
+ "gate_2_passed": {
94
+ "method": "visual",
95
+ "intervals": [
96
+ [
97
+ 9.8,
98
+ null
99
+ ]
100
+ ],
101
+ "final": true,
102
+ "evidence": [
103
+ {
104
+ "t": 9.8,
105
+ "log_step": null,
106
+ "text_zh": "观察:视频 9.4–10.2 s,机器人以双脚固定的雪板支承滑过第2对旗杆附近,随后继续下坡;inputs/run.json 的评分器 reward.metric_gates=2、stages_reached=3(起滑加前两门)、deterministic=1。"
107
+ },
108
+ {
109
+ "t": 9.8,
110
+ "log_step": null,
111
+ "text_zh": "推断:结合视频中的门序、滑行位置和评分器两门计数,第2门已被裁判接受;视频约 9.8 s 为视觉过门锚点,误差约0.4秒。远景不能独立分清两脚和两板尖的各自越线瞬间,不把躯干越线单独当作验收。"
112
+ }
113
+ ],
114
+ "contact_actual": [
115
+ {
116
+ "who": "腿/躯干",
117
+ "how": "支撑",
118
+ "note_zh": "观察:视频 9.4–10.2 s,机器人双脚连着雪板在雪面上支承身体并滑行经过第2门;腿部随转向改变姿态。"
119
+ }
120
+ ]
121
+ },
122
+ "gate_3_passed": {
123
+ "method": "visual",
124
+ "intervals": [],
125
+ "final": false,
126
+ "evidence": [
127
+ {
128
+ "t": 10.8,
129
+ "log_step": null,
130
+ "text_zh": "观察:视频 10.4–11.2 s,机器人在第二门后继续向第三对旗杆附近滑行;视频 11.92 s 仍直立,未见倒地。inputs/run.json 的评分器 reward.metric_gates=2、fell=0;远景帧无法分辨双脚和两板尖相对第三门两杆的具体位置。"
131
+ },
132
+ {
133
+ "t": 11.92,
134
+ "log_step": null,
135
+ "text_zh": "推断:inputs/run.json 的评分器 reward.metric_gates=2,按 task/task_dag.json 的有序过门规则,第三门至少有一个受检点未按规则通过,且本回合内未修复;远景帧无法分辨具体漏检点及偏差位置。"
136
+ }
137
+ ],
138
+ "contact_actual": [
139
+ {
140
+ "who": "腿/躯干",
141
+ "how": "支撑",
142
+ "note_zh": "观察:视频 10.0–11.92 s,机器人以双脚及固定雪板支承于雪面并继续下坡;未见倒地。远景不足以确认第三门回转的具体动作和侧向偏差。"
143
+ }
144
+ ]
145
+ },
146
+ "gate_4_passed": {
147
+ "method": "visual",
148
+ "intervals": [],
149
+ "final": false,
150
+ "evidence": [
151
+ {
152
+ "t": 11.92,
153
+ "log_step": null,
154
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第4门不可能已被裁判接受,故整个视频内此事件未达成。"
155
+ }
156
+ ]
157
+ },
158
+ "gate_5_passed": {
159
+ "method": "visual",
160
+ "intervals": [],
161
+ "final": false,
162
+ "evidence": [
163
+ {
164
+ "t": 11.92,
165
+ "log_step": null,
166
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第5门不可能已被裁判接受,故整个视频内此事件未达成。"
167
+ }
168
+ ]
169
+ },
170
+ "gate_6_passed": {
171
+ "method": "visual",
172
+ "intervals": [],
173
+ "final": false,
174
+ "evidence": [
175
+ {
176
+ "t": 11.92,
177
+ "log_step": null,
178
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第6门不可能已被裁判接受,故整个视频内此事件未达成。"
179
+ }
180
+ ]
181
+ },
182
+ "gate_7_passed": {
183
+ "method": "visual",
184
+ "intervals": [],
185
+ "final": false,
186
+ "evidence": [
187
+ {
188
+ "t": 11.92,
189
+ "log_step": null,
190
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第7门不可能已被裁判接受,故整个视频内此事件未达成。"
191
+ }
192
+ ]
193
+ },
194
+ "gate_8_passed": {
195
+ "method": "visual",
196
+ "intervals": [],
197
+ "final": false,
198
+ "evidence": [
199
+ {
200
+ "t": 11.92,
201
+ "log_step": null,
202
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第8门不可能已被裁判接受,故整个视频内此事件未达成。"
203
+ }
204
+ ]
205
+ },
206
+ "gate_9_passed": {
207
+ "method": "visual",
208
+ "intervals": [],
209
+ "final": false,
210
+ "evidence": [
211
+ {
212
+ "t": 11.92,
213
+ "log_step": null,
214
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第9门不可能已被裁判接受,故整个视频内此事件未达成。"
215
+ }
216
+ ]
217
+ },
218
+ "gate_10_passed": {
219
+ "method": "visual",
220
+ "intervals": [],
221
+ "final": false,
222
+ "evidence": [
223
+ {
224
+ "t": 11.92,
225
+ "log_step": null,
226
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第10门不可能已被裁判接受,故整个视频内此事件未达成。"
227
+ }
228
+ ]
229
+ },
230
+ "gate_11_passed": {
231
+ "method": "visual",
232
+ "intervals": [],
233
+ "final": false,
234
+ "evidence": [
235
+ {
236
+ "t": 11.92,
237
+ "log_step": null,
238
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第11门不可能已被裁判接受,故整个视频内此事件未达成。"
239
+ }
240
+ ]
241
+ },
242
+ "gate_12_passed": {
243
+ "method": "visual",
244
+ "intervals": [],
245
+ "final": false,
246
+ "evidence": [
247
+ {
248
+ "t": 11.92,
249
+ "log_step": null,
250
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第12门不可能已被裁判接受,故整个视频内此事件未达成。"
251
+ }
252
+ ]
253
+ },
254
+ "gate_13_passed": {
255
+ "method": "visual",
256
+ "intervals": [],
257
+ "final": false,
258
+ "evidence": [
259
+ {
260
+ "t": 11.92,
261
+ "log_step": null,
262
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第13门不可能已被裁判接受,故整个视频内此事件未达成。"
263
+ }
264
+ ]
265
+ },
266
+ "gate_14_passed": {
267
+ "method": "visual",
268
+ "intervals": [],
269
+ "final": false,
270
+ "evidence": [
271
+ {
272
+ "t": 11.92,
273
+ "log_step": null,
274
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第14门不可能已被裁判接受,故整个视频内此事件未达成。"
275
+ }
276
+ ]
277
+ },
278
+ "gate_15_passed": {
279
+ "method": "visual",
280
+ "intervals": [],
281
+ "final": false,
282
+ "evidence": [
283
+ {
284
+ "t": 11.92,
285
+ "log_step": null,
286
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第15门不可能已被裁判接受,故整个视频内此事件未达成。"
287
+ }
288
+ ]
289
+ },
290
+ "gate_16_passed": {
291
+ "method": "visual",
292
+ "intervals": [],
293
+ "final": false,
294
+ "evidence": [
295
+ {
296
+ "t": 11.92,
297
+ "log_step": null,
298
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第16门不可能已被裁判接受,故整个视频内此事件未达成。"
299
+ }
300
+ ]
301
+ },
302
+ "gate_17_passed": {
303
+ "method": "visual",
304
+ "intervals": [],
305
+ "final": false,
306
+ "evidence": [
307
+ {
308
+ "t": 11.92,
309
+ "log_step": null,
310
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第17门不可能已被裁判接受,故整个视频内此事件未达成。"
311
+ }
312
+ ]
313
+ },
314
+ "gate_18_passed": {
315
+ "method": "visual",
316
+ "intervals": [],
317
+ "final": false,
318
+ "evidence": [
319
+ {
320
+ "t": 11.92,
321
+ "log_step": null,
322
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第18门不可能已被裁判接受,故整个视频内此事件未达成。"
323
+ }
324
+ ]
325
+ },
326
+ "gate_19_passed": {
327
+ "method": "visual",
328
+ "intervals": [],
329
+ "final": false,
330
+ "evidence": [
331
+ {
332
+ "t": 11.92,
333
+ "log_step": null,
334
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第19门不可能已被裁判接受,故整个视频内此事件未达成。"
335
+ }
336
+ ]
337
+ },
338
+ "gate_20_passed": {
339
+ "method": "visual",
340
+ "intervals": [],
341
+ "final": false,
342
+ "evidence": [
343
+ {
344
+ "t": 11.92,
345
+ "log_step": null,
346
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第20门不可能已被裁判接受,故整个视频内此事件未达成。"
347
+ }
348
+ ]
349
+ },
350
+ "gate_21_passed": {
351
+ "method": "visual",
352
+ "intervals": [],
353
+ "final": false,
354
+ "evidence": [
355
+ {
356
+ "t": 11.92,
357
+ "log_step": null,
358
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第21门不可能已被裁判接受,故整个视频内此事件未达成。"
359
+ }
360
+ ]
361
+ },
362
+ "gate_22_passed": {
363
+ "method": "visual",
364
+ "intervals": [],
365
+ "final": false,
366
+ "evidence": [
367
+ {
368
+ "t": 11.92,
369
+ "log_step": null,
370
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第22门不可能已被裁判接受,故整个视频内此事件未达成。"
371
+ }
372
+ ]
373
+ },
374
+ "gate_23_passed": {
375
+ "method": "visual",
376
+ "intervals": [],
377
+ "final": false,
378
+ "evidence": [
379
+ {
380
+ "t": 11.92,
381
+ "log_step": null,
382
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第23门不可能已被裁判接受,故整个视频内此事件未达成。"
383
+ }
384
+ ]
385
+ },
386
+ "gate_24_passed": {
387
+ "method": "visual",
388
+ "intervals": [],
389
+ "final": false,
390
+ "evidence": [
391
+ {
392
+ "t": 11.92,
393
+ "log_step": null,
394
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第24门不可能已被裁判接受,故整个视频内此事件未达成。"
395
+ }
396
+ ]
397
+ },
398
+ "gate_25_passed": {
399
+ "method": "visual",
400
+ "intervals": [],
401
+ "final": false,
402
+ "evidence": [
403
+ {
404
+ "t": 11.92,
405
+ "log_step": null,
406
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第25门不可能已被裁判接受,故整个视频内此事件未达成。"
407
+ }
408
+ ]
409
+ },
410
+ "gate_26_passed": {
411
+ "method": "visual",
412
+ "intervals": [],
413
+ "final": false,
414
+ "evidence": [
415
+ {
416
+ "t": 11.92,
417
+ "log_step": null,
418
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第26门不可能已被裁判接受,故整个视频内此事件未达成。"
419
+ }
420
+ ]
421
+ },
422
+ "gate_27_passed": {
423
+ "method": "visual",
424
+ "intervals": [],
425
+ "final": false,
426
+ "evidence": [
427
+ {
428
+ "t": 11.92,
429
+ "log_step": null,
430
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第27门不可能已被裁判接受,故整个视频内此事件未达成。"
431
+ }
432
+ ]
433
+ },
434
+ "gate_28_passed": {
435
+ "method": "visual",
436
+ "intervals": [],
437
+ "final": false,
438
+ "evidence": [
439
+ {
440
+ "t": 11.92,
441
+ "log_step": null,
442
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第28门不可能已被裁判接受,故整个视频内此事件未达成。"
443
+ }
444
+ ]
445
+ },
446
+ "gate_29_passed": {
447
+ "method": "visual",
448
+ "intervals": [],
449
+ "final": false,
450
+ "evidence": [
451
+ {
452
+ "t": 11.92,
453
+ "log_step": null,
454
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第29门不可能已被裁判接受,故整个视频内此事件未达成。"
455
+ }
456
+ ]
457
+ },
458
+ "gate_30_passed": {
459
+ "method": "visual",
460
+ "intervals": [],
461
+ "final": false,
462
+ "evidence": [
463
+ {
464
+ "t": 11.92,
465
+ "log_step": null,
466
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第30门不可能已被裁判接受,故整个视频内此事件未达成。"
467
+ }
468
+ ]
469
+ },
470
+ "gate_31_passed": {
471
+ "method": "visual",
472
+ "intervals": [],
473
+ "final": false,
474
+ "evidence": [
475
+ {
476
+ "t": 11.92,
477
+ "log_step": null,
478
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第31门不可能已被裁判接受,故整个视频内此事件未达成。"
479
+ }
480
+ ]
481
+ },
482
+ "gate_32_passed": {
483
+ "method": "visual",
484
+ "intervals": [],
485
+ "final": false,
486
+ "evidence": [
487
+ {
488
+ "t": 11.92,
489
+ "log_step": null,
490
+ "text_zh": "推断:本次评分器 reward.metric_gates=2、stages_reached=3,视频 11.92 s 机器人仍在赛道早段;第3门未完成且未修复。按有序验收与 after 链,第32门不可能已被裁判接受,故整个视频内此事件未达成。"
491
+ }
492
+ ]
493
+ },
494
+ "finish_crossed": {
495
+ "method": "visual",
496
+ "intervals": [],
497
+ "final": false,
498
+ "evidence": [
499
+ {
500
+ "t": 11.92,
501
+ "log_step": null,
502
+ "text_zh": "推断:视频 11.92 s 机器人仍在早段旗门区,尚未到达终点;评分器 reward.metric_gates=2、stages_reached=3,未达到32门及终点的有序验收,故终点事件未达成。"
503
+ }
504
+ ]
505
+ }
506
+ },
507
+ "constraints": {}
508
+ },
509
+ "native_metrics": [
510
+ {
511
+ "name": "gates",
512
+ "value": 2.0,
513
+ "unit": "count",
514
+ "threshold": 32,
515
+ "direction": "higher_better"
516
+ },
517
+ {
518
+ "name": "speed_m_s",
519
+ "value": 10.227,
520
+ "unit": "m/s",
521
+ "threshold": 0.1,
522
+ "direction": "higher_better"
523
+ },
524
+ {
525
+ "name": "time_s",
526
+ "value": null,
527
+ "unit": "s",
528
+ "threshold": null,
529
+ "direction": "lower_better"
530
+ }
531
+ ],
532
+ "failure": {
533
+ "breakpoint": {
534
+ "ref": "gate_3_passed",
535
+ "t": 10.8,
536
+ "log_step": null,
537
+ "where": "操作中",
538
+ "evidence_zh": "推断:inputs/run.json 的评分器 reward.metric_gates=2、fell=0,按 task/task_dag.json 的有序过门规则,第三门至少有一个受检点未按规则通过,是第一处未修复的过门失败。视频约 10.8 s 仅作为机器人接近第三门附近的导航锚点;远景帧无法分辨具体偏差位置或精确失败瞬间。观察:视频 11.92 s 机器人仍直立,未见倒地。"
539
+ },
540
+ "unmet": {
541
+ "gate_1_passed": true,
542
+ "gate_2_passed": true,
543
+ "gate_3_passed": false,
544
+ "gate_4_passed": false,
545
+ "gate_5_passed": false,
546
+ "gate_6_passed": false,
547
+ "gate_7_passed": false,
548
+ "gate_8_passed": false,
549
+ "gate_9_passed": false,
550
+ "gate_10_passed": false,
551
+ "gate_11_passed": false,
552
+ "gate_12_passed": false,
553
+ "gate_13_passed": false,
554
+ "gate_14_passed": false,
555
+ "gate_15_passed": false,
556
+ "gate_16_passed": false,
557
+ "gate_17_passed": false,
558
+ "gate_18_passed": false,
559
+ "gate_19_passed": false,
560
+ "gate_20_passed": false,
561
+ "gate_21_passed": false,
562
+ "gate_22_passed": false,
563
+ "gate_23_passed": false,
564
+ "gate_24_passed": false,
565
+ "gate_25_passed": false,
566
+ "gate_26_passed": false,
567
+ "gate_27_passed": false,
568
+ "gate_28_passed": false,
569
+ "gate_29_passed": false,
570
+ "gate_30_passed": false,
571
+ "gate_31_passed": false,
572
+ "gate_32_passed": false,
573
+ "finish_crossed": false
574
+ },
575
+ "phenomena": [
576
+ {
577
+ "cat": "全身",
578
+ "item": "步态",
579
+ "t": 10.8,
580
+ "log_step": null,
581
+ "evidence_zh": "推断:inputs/run.json 的评分器 reward.metric_gates=2、fell=0,结合视频 10.4–11.92 s 机器人继续下坡且未见倒地,第三门的行进要求未完成,保留全身·步态;这依据有序过门计数,并非观察到步态或平衡异常。远景帧无法分辨具体漏检点或偏离哪一侧。"
582
+ }
583
+ ],
584
+ "root_causes": [
585
+ {
586
+ "cat": "控制",
587
+ "item": "控制",
588
+ "evidence_zh": "推断:log step 233 的最终 gen.py 通过髋、膝、踝关节目标及横向位置、速度方向、骨盆滚转和偏航反馈控制雪板回转,目标明确为交替过门;log step 234 启动该脚本生成交付文件,log step 238 自述交付1192个控制步,与评分器 n_actions=1192 一致。视频 10.4–11.92 s 中机器人继续下坡且未见倒地,评分器 reward.metric_gates=2 表明第三门的完整过门要求未实现;结合交付脚本的过门目标,保守推断为回转运动控制未实现所需路线,具体侧向偏差不能从远景中确认。现有证据不能隔离具体增益、接触载荷或反馈环节,保留控制总类。",
589
+ "source_zh": "日志 / 视频 / 评分器字段"
590
+ }
591
+ ],
592
+ "gap_zh": "无状态日志。固定远景中双脚和板尖仅占少量像素,前两门的接受由本次评分器有序计数支持,视频过门时间约有0.4秒误差;第三门未达成由评分器两门计数推断,远景无法确定具体漏检点、偏离哪一侧、侧向偏差数值及精确判负时刻,也未见独立的步态或平衡异常。已对照成功参考录像,其同一固定视角后段同样不能逐点辨认;参考录像不作为本次达成证据。日志包含大量重置及参数试验,未将这些试验的跌倒、碰杆或门数用于本次节点标签;缺少最终交付逐步遥测,无法确定控制失败的更细机制。"
593
+ },
594
+ "summary_zh": "机器人自行起滑并通过前两道门,最终完成2/33个DAG节点(评分器的3/34个原生阶段另含起滑)。根据评分器 reward.metric_gates=2,推断第三门至少有一个受检点未按规则通过且未修复;视频约 10.8 s 仅为接近第三门的导航锚点,至视频 11.92 s 仍未见倒地,结合最终控制脚本保守推断根因为控制。固定远景和缺失状态日志使具体偏差位置、受检点及精确过门时刻无法辨认,现象与根因依赖推断,故置信度从7降至5;原生比赛用时未报告。",
595
+ "conf": 5,
596
+ "review": {
597
+ "status": "agreed",
598
+ "rounds": 2,
599
+ "reviewers": [
600
+ {
601
+ "engine": "claude",
602
+ "model": "claude-sonnet-5-5",
603
+ "round": 1,
604
+ "verdict": "fix",
605
+ "conf": 6,
606
+ "summary_zh": "前两门的节点值与时间(约8.6 s / 9.8 s,评分器 metric_gates=2)与视频一致,无状态日志。问题在第三门:标签把“从近侧门杆外继续下滑”写成视频观察,但固定远景分辨率下机器人只有几像素,11.4–11.92 s 帧中看不出它在杆外;该判断只能来自评分器计数(推断),步态现象与断点证据也据此需降级。",
607
+ "n_issues": 2,
608
+ "n_major": 1
609
+ },
610
+ {
611
+ "engine": "claude",
612
+ "model": "claude-sonnet-5-5",
613
+ "round": 2,
614
+ "verdict": "agree",
615
+ "conf": 6,
616
+ "summary_zh": "第一轮问题已修正:前两门由评分器 metric_gates=2 支持,第三门为断点,侧向偏差均标为推断,根因保守为控制,与证据一致。",
617
+ "n_issues": 0,
618
+ "n_major": 0
619
+ }
620
+ ],
621
+ "open_zh": []
622
+ },
623
+ "provenance": {
624
+ "prompt": "prompts/03_trajectory.md",
625
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
626
+ "engine": "codex",
627
+ "model": "gpt-6.1-sol",
628
+ "effort": "high",
629
+ "created": "2026-10-31T00:47:19Z",
630
+ "review_prompt": "prompts/04_trajectory_review.md",
631
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
632
+ "reconcile_prompt": "prompts/05_reconcile.md",
633
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
634
+ "calls": [
635
+ {
636
+ "stage": "traj",
637
+ "round": 0,
638
+ "ok": true,
639
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt/03_label"
640
+ },
641
+ {
642
+ "stage": "traj_review",
643
+ "round": 1,
644
+ "ok": true,
645
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt/04_review_r1"
646
+ },
647
+ {
648
+ "stage": "reconcile",
649
+ "round": 1,
650
+ "ok": true,
651
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt/05_reconcile_r1"
652
+ },
653
+ {
654
+ "stage": "traj_review",
655
+ "round": 2,
656
+ "ok": true,
657
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--ldigmmt/04_review_r2"
658
+ }
659
+ ],
660
+ "review_engine": "claude",
661
+ "review_model": "claude-sonnet-5-5",
662
+ "inputs": {
663
+ "run_json_sha256": "a09e490cda42021bc26dd243f06e7b7b1e5b30adca410ba5e9f21c9f8dd04389",
664
+ "video_sha256": "53b5dbcd011c14fa99e3362a410b304b3b575f6533ac77718ed8ebf40f08f8fe",
665
+ "states_sha256": null,
666
+ "video_choice": "HF replay.mp4"
667
+ }
668
+ }
669
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--oqgxgoi.json ADDED
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1
+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-alpine-slalom-i00-privileged--oqgxgoi",
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+ "taskKey": "embodied-olympics-fun/alpine_slalom",
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+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
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+ "outcome": {
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+ "reward": 0.0588,
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+ "source": "catalog",
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+ "raw": {
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+ "deterministic": 1,
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+ "n_actions": 1258,
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+ "sim_steps": 1258,
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+ "horizon": 9000,
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+ "episode_over": 1,
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+ "progress": 0.0588,
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+ "stages_reached": 2,
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+ "stages_total": 34,
22
+ "fell": 0,
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+ "replay_s": 13.14,
24
+ "bad_trajectory": 0,
25
+ "metric_gates": 1.0,
26
+ "metric_speed_m_s": 11.086,
27
+ "grader_error": 0,
28
+ "video_rendered": 1,
29
+ "agent_sessions": 120,
30
+ "agent_resets": 0,
31
+ "agent_replays": 4,
32
+ "agent_cost_self_reported": 1,
33
+ "resource_enforced": 0,
34
+ "limits_violation_observed": 0,
35
+ "resource_monitor_missing": 0,
36
+ "peak_gpu_memory_gb": 0,
37
+ "peak_memory_gb": 2.692,
38
+ "peak_processes": 31,
39
+ "peak_disk_gb": 1.003,
40
+ "resource_emergency_kills": 0,
41
+ "resource_oom_kills": 0,
42
+ "resource_host_oom_kills": 0,
43
+ "resource_service_oom_kills": 0,
44
+ "session_log_tampered": 0,
45
+ "session_log_from_monitor": 0
46
+ }
47
+ },
48
+ "video": {
49
+ "kind": "hf",
50
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--oqgxgoi/replay.mp4",
51
+ "duration_s": 12.6,
52
+ "fps": 25.0,
53
+ "frames": 315,
54
+ "sha256": "1cf2e496705ed0599b0007370b1b7c17b11db2d3ee6f3ce72b879c1ffe864ef4"
55
+ },
56
+ "state": null,
57
+ "progress": {
58
+ "method": "visual",
59
+ "denominator": 33,
60
+ "base": 0,
61
+ "peak": 1,
62
+ "final": 1,
63
+ "nodes": {
64
+ "gate_1_passed": {
65
+ "method": "visual",
66
+ "intervals": [
67
+ [
68
+ 10.7,
69
+ null
70
+ ]
71
+ ],
72
+ "final": true,
73
+ "evidence": [
74
+ {
75
+ "t": 4.4,
76
+ "log_step": 119,
77
+ "text_zh": "观察:视频3.8–4.8 s机器人以双脚固定的雪板支撑,向起点红线前进并越线,随后滑下坡;log step 119生成最终交付文件时裁判记录start事件,事件仿真时间4.352 s。"
78
+ },
79
+ {
80
+ "t": 10.7,
81
+ "log_step": 152,
82
+ "text_zh": "观察:视频9.8–10.68 s机器人保持站立,雪板滑向并越过第一对旗杆所在门线;最终交付文件回放的裁判阶段为[start, gate 1](log step 152),评分器metric_gates=1。四个受检点的精细越线判定以该文件裁判结果为依据。"
83
+ },
84
+ {
85
+ "t": 10.7,
86
+ "log_step": 119,
87
+ "text_zh": "推断:首门达到时间取视频约10.7 s。log step 119生成的交付文件记录首门事件仿真10.658 s;log step 152回放执行1258个控制步,每步0.01 s,共仿真12.58 s,与视频12.6 s长度及视频4.4 s起点越线、视频10.68 s首门附近位置吻合。此处仅用同一交付回合的控制时钟辅助定位,不使用agent工作时间。"
88
+ }
89
+ ],
90
+ "contact_actual": [
91
+ {
92
+ "who": "腿/躯干",
93
+ "how": "支撑",
94
+ "note_zh": "观察:视频0–10.68 s机器人双脚经固定雪板支撑雪面,先挪步出发,再屈腿站立滑过首门。"
95
+ }
96
+ ]
97
+ },
98
+ "gate_2_passed": {
99
+ "method": "visual",
100
+ "intervals": [],
101
+ "final": false,
102
+ "evidence": [
103
+ {
104
+ "t": 11.6,
105
+ "log_step": 119,
106
+ "text_zh": "观察:视频10.68–12.56 s机器人过首门后继续下滑,未见转入下一道交替横向旗门的通道,末帧仍站立;log step 119的交付生成脚本在gate 1通过后把目标切换到第2门侧。"
107
+ },
108
+ {
109
+ "t": 12.56,
110
+ "log_step": 152,
111
+ "text_zh": "观察:最终交付文件回放的裁判返回failed=missed a gate、stages=[start, gate 1]、gates=1,并在1258个控制步后终止(log step 152);评分器fell=0、deterministic=1。第2门没有达到;视频末段滑行与该结果一致。"
112
+ }
113
+ ],
114
+ "contact_actual": [
115
+ {
116
+ "who": "腿/躯干",
117
+ "how": "支撑",
118
+ "note_zh": "观察:视频10.68–12.56 s机器人双脚仍经雪板支撑在坡面上,保持站立滑向下坡,尝试转向第2门但未进入其通道。"
119
+ }
120
+ ]
121
+ },
122
+ "gate_3_passed": {
123
+ "method": "visual",
124
+ "intervals": [],
125
+ "final": false,
126
+ "evidence": [
127
+ {
128
+ "t": 12.56,
129
+ "log_step": 152,
130
+ "text_zh": "推断:第3门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第3门。"
131
+ }
132
+ ]
133
+ },
134
+ "gate_4_passed": {
135
+ "method": "visual",
136
+ "intervals": [],
137
+ "final": false,
138
+ "evidence": [
139
+ {
140
+ "t": 12.56,
141
+ "log_step": 152,
142
+ "text_zh": "推断:第4门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第4门。"
143
+ }
144
+ ]
145
+ },
146
+ "gate_5_passed": {
147
+ "method": "visual",
148
+ "intervals": [],
149
+ "final": false,
150
+ "evidence": [
151
+ {
152
+ "t": 12.56,
153
+ "log_step": 152,
154
+ "text_zh": "推断:第5门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第5门。"
155
+ }
156
+ ]
157
+ },
158
+ "gate_6_passed": {
159
+ "method": "visual",
160
+ "intervals": [],
161
+ "final": false,
162
+ "evidence": [
163
+ {
164
+ "t": 12.56,
165
+ "log_step": 152,
166
+ "text_zh": "推断:第6门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第6门。"
167
+ }
168
+ ]
169
+ },
170
+ "gate_7_passed": {
171
+ "method": "visual",
172
+ "intervals": [],
173
+ "final": false,
174
+ "evidence": [
175
+ {
176
+ "t": 12.56,
177
+ "log_step": 152,
178
+ "text_zh": "推断:第7门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第7门。"
179
+ }
180
+ ]
181
+ },
182
+ "gate_8_passed": {
183
+ "method": "visual",
184
+ "intervals": [],
185
+ "final": false,
186
+ "evidence": [
187
+ {
188
+ "t": 12.56,
189
+ "log_step": 152,
190
+ "text_zh": "推断:第8门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第8门。"
191
+ }
192
+ ]
193
+ },
194
+ "gate_9_passed": {
195
+ "method": "visual",
196
+ "intervals": [],
197
+ "final": false,
198
+ "evidence": [
199
+ {
200
+ "t": 12.56,
201
+ "log_step": 152,
202
+ "text_zh": "推断:第9门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第9门。"
203
+ }
204
+ ]
205
+ },
206
+ "gate_10_passed": {
207
+ "method": "visual",
208
+ "intervals": [],
209
+ "final": false,
210
+ "evidence": [
211
+ {
212
+ "t": 12.56,
213
+ "log_step": 152,
214
+ "text_zh": "推断:第10门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第10门。"
215
+ }
216
+ ]
217
+ },
218
+ "gate_11_passed": {
219
+ "method": "visual",
220
+ "intervals": [],
221
+ "final": false,
222
+ "evidence": [
223
+ {
224
+ "t": 12.56,
225
+ "log_step": 152,
226
+ "text_zh": "推断:第11门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第11门。"
227
+ }
228
+ ]
229
+ },
230
+ "gate_12_passed": {
231
+ "method": "visual",
232
+ "intervals": [],
233
+ "final": false,
234
+ "evidence": [
235
+ {
236
+ "t": 12.56,
237
+ "log_step": 152,
238
+ "text_zh": "推断:第12门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第12门。"
239
+ }
240
+ ]
241
+ },
242
+ "gate_13_passed": {
243
+ "method": "visual",
244
+ "intervals": [],
245
+ "final": false,
246
+ "evidence": [
247
+ {
248
+ "t": 12.56,
249
+ "log_step": 152,
250
+ "text_zh": "推断:第13门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第13门。"
251
+ }
252
+ ]
253
+ },
254
+ "gate_14_passed": {
255
+ "method": "visual",
256
+ "intervals": [],
257
+ "final": false,
258
+ "evidence": [
259
+ {
260
+ "t": 12.56,
261
+ "log_step": 152,
262
+ "text_zh": "推断:第14门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第14门。"
263
+ }
264
+ ]
265
+ },
266
+ "gate_15_passed": {
267
+ "method": "visual",
268
+ "intervals": [],
269
+ "final": false,
270
+ "evidence": [
271
+ {
272
+ "t": 12.56,
273
+ "log_step": 152,
274
+ "text_zh": "推断:第15门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第15门。"
275
+ }
276
+ ]
277
+ },
278
+ "gate_16_passed": {
279
+ "method": "visual",
280
+ "intervals": [],
281
+ "final": false,
282
+ "evidence": [
283
+ {
284
+ "t": 12.56,
285
+ "log_step": 152,
286
+ "text_zh": "推断:第16门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第16门。"
287
+ }
288
+ ]
289
+ },
290
+ "gate_17_passed": {
291
+ "method": "visual",
292
+ "intervals": [],
293
+ "final": false,
294
+ "evidence": [
295
+ {
296
+ "t": 12.56,
297
+ "log_step": 152,
298
+ "text_zh": "推断:第17门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第17门。"
299
+ }
300
+ ]
301
+ },
302
+ "gate_18_passed": {
303
+ "method": "visual",
304
+ "intervals": [],
305
+ "final": false,
306
+ "evidence": [
307
+ {
308
+ "t": 12.56,
309
+ "log_step": 152,
310
+ "text_zh": "推断:第18门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第18门。"
311
+ }
312
+ ]
313
+ },
314
+ "gate_19_passed": {
315
+ "method": "visual",
316
+ "intervals": [],
317
+ "final": false,
318
+ "evidence": [
319
+ {
320
+ "t": 12.56,
321
+ "log_step": 152,
322
+ "text_zh": "推断:第19门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第19门。"
323
+ }
324
+ ]
325
+ },
326
+ "gate_20_passed": {
327
+ "method": "visual",
328
+ "intervals": [],
329
+ "final": false,
330
+ "evidence": [
331
+ {
332
+ "t": 12.56,
333
+ "log_step": 152,
334
+ "text_zh": "推断:第20门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第20门。"
335
+ }
336
+ ]
337
+ },
338
+ "gate_21_passed": {
339
+ "method": "visual",
340
+ "intervals": [],
341
+ "final": false,
342
+ "evidence": [
343
+ {
344
+ "t": 12.56,
345
+ "log_step": 152,
346
+ "text_zh": "推断:第21门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第21门。"
347
+ }
348
+ ]
349
+ },
350
+ "gate_22_passed": {
351
+ "method": "visual",
352
+ "intervals": [],
353
+ "final": false,
354
+ "evidence": [
355
+ {
356
+ "t": 12.56,
357
+ "log_step": 152,
358
+ "text_zh": "推断:第22门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第22门。"
359
+ }
360
+ ]
361
+ },
362
+ "gate_23_passed": {
363
+ "method": "visual",
364
+ "intervals": [],
365
+ "final": false,
366
+ "evidence": [
367
+ {
368
+ "t": 12.56,
369
+ "log_step": 152,
370
+ "text_zh": "推断:第23门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第23门。"
371
+ }
372
+ ]
373
+ },
374
+ "gate_24_passed": {
375
+ "method": "visual",
376
+ "intervals": [],
377
+ "final": false,
378
+ "evidence": [
379
+ {
380
+ "t": 12.56,
381
+ "log_step": 152,
382
+ "text_zh": "推断:第24门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第24门。"
383
+ }
384
+ ]
385
+ },
386
+ "gate_25_passed": {
387
+ "method": "visual",
388
+ "intervals": [],
389
+ "final": false,
390
+ "evidence": [
391
+ {
392
+ "t": 12.56,
393
+ "log_step": 152,
394
+ "text_zh": "推断:第25门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第25门。"
395
+ }
396
+ ]
397
+ },
398
+ "gate_26_passed": {
399
+ "method": "visual",
400
+ "intervals": [],
401
+ "final": false,
402
+ "evidence": [
403
+ {
404
+ "t": 12.56,
405
+ "log_step": 152,
406
+ "text_zh": "推断:第26门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第26门。"
407
+ }
408
+ ]
409
+ },
410
+ "gate_27_passed": {
411
+ "method": "visual",
412
+ "intervals": [],
413
+ "final": false,
414
+ "evidence": [
415
+ {
416
+ "t": 12.56,
417
+ "log_step": 152,
418
+ "text_zh": "推断:第27门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第27门。"
419
+ }
420
+ ]
421
+ },
422
+ "gate_28_passed": {
423
+ "method": "visual",
424
+ "intervals": [],
425
+ "final": false,
426
+ "evidence": [
427
+ {
428
+ "t": 12.56,
429
+ "log_step": 152,
430
+ "text_zh": "推断:第28门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第28门。"
431
+ }
432
+ ]
433
+ },
434
+ "gate_29_passed": {
435
+ "method": "visual",
436
+ "intervals": [],
437
+ "final": false,
438
+ "evidence": [
439
+ {
440
+ "t": 12.56,
441
+ "log_step": 152,
442
+ "text_zh": "推断:第29门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第29门。"
443
+ }
444
+ ]
445
+ },
446
+ "gate_30_passed": {
447
+ "method": "visual",
448
+ "intervals": [],
449
+ "final": false,
450
+ "evidence": [
451
+ {
452
+ "t": 12.56,
453
+ "log_step": 152,
454
+ "text_zh": "推断:第30门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第30门。"
455
+ }
456
+ ]
457
+ },
458
+ "gate_31_passed": {
459
+ "method": "visual",
460
+ "intervals": [],
461
+ "final": false,
462
+ "evidence": [
463
+ {
464
+ "t": 12.56,
465
+ "log_step": 152,
466
+ "text_zh": "推断:第31门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第31门。"
467
+ }
468
+ ]
469
+ },
470
+ "gate_32_passed": {
471
+ "method": "visual",
472
+ "intervals": [],
473
+ "final": false,
474
+ "evidence": [
475
+ {
476
+ "t": 12.56,
477
+ "log_step": 152,
478
+ "text_zh": "推断:第32门未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成第32门。"
479
+ }
480
+ ]
481
+ },
482
+ "finish_crossed": {
483
+ "method": "visual",
484
+ "intervals": [],
485
+ "final": false,
486
+ "evidence": [
487
+ {
488
+ "t": 12.56,
489
+ "log_step": 152,
490
+ "text_zh": "推断:终点未达到。最终交付文件的裁判回放仅记录start和gate 1,并以missed a gate终止(log step 152);评��器metric_gates=1、stages_reached=2。视频全程及视频12.56 s末帧只显示机器人滑过早段旗门区域,第2门未通过,按有序前置关系不可能完成终点。"
491
+ }
492
+ ]
493
+ }
494
+ },
495
+ "constraints": {}
496
+ },
497
+ "native_metrics": [
498
+ {
499
+ "name": "gates",
500
+ "value": 1.0,
501
+ "unit": "count",
502
+ "threshold": 32,
503
+ "direction": "higher_better"
504
+ },
505
+ {
506
+ "name": "speed_m_s",
507
+ "value": 11.086,
508
+ "unit": "m/s",
509
+ "threshold": 0.1,
510
+ "direction": "higher_better"
511
+ },
512
+ {
513
+ "name": "time_s",
514
+ "value": null,
515
+ "unit": "s",
516
+ "threshold": null,
517
+ "direction": "lower_better"
518
+ }
519
+ ],
520
+ "failure": {
521
+ "breakpoint": {
522
+ "ref": "gate_2_passed",
523
+ "t": 11.6,
524
+ "log_step": 152,
525
+ "where": "操作中",
526
+ "evidence_zh": "推断:断点是通过第2门。视频10.68 s首门附近到视频11.6 s、12.56 s,机器人持续站立下滑,却未完成向下一道交替旗门的横向切入;此后没有修复。最终交付回放只锁存start和gate 1,并以missed a gate终止(log step 152);评分器metric_gates=1、fell=0,故失效步骤是第2门,视频11.6 s作为偏离过程的近似导航锚点。"
527
+ },
528
+ "unmet": {
529
+ "gate_1_passed": true,
530
+ "gate_2_passed": false,
531
+ "gate_3_passed": false,
532
+ "gate_4_passed": false,
533
+ "gate_5_passed": false,
534
+ "gate_6_passed": false,
535
+ "gate_7_passed": false,
536
+ "gate_8_passed": false,
537
+ "gate_9_passed": false,
538
+ "gate_10_passed": false,
539
+ "gate_11_passed": false,
540
+ "gate_12_passed": false,
541
+ "gate_13_passed": false,
542
+ "gate_14_passed": false,
543
+ "gate_15_passed": false,
544
+ "gate_16_passed": false,
545
+ "gate_17_passed": false,
546
+ "gate_18_passed": false,
547
+ "gate_19_passed": false,
548
+ "gate_20_passed": false,
549
+ "gate_21_passed": false,
550
+ "gate_22_passed": false,
551
+ "gate_23_passed": false,
552
+ "gate_24_passed": false,
553
+ "gate_25_passed": false,
554
+ "gate_26_passed": false,
555
+ "gate_27_passed": false,
556
+ "gate_28_passed": false,
557
+ "gate_29_passed": false,
558
+ "gate_30_passed": false,
559
+ "gate_31_passed": false,
560
+ "gate_32_passed": false,
561
+ "finish_crossed": false
562
+ },
563
+ "phenomena": [
564
+ {
565
+ "cat": "全身",
566
+ "item": "步态",
567
+ "t": 11.6,
568
+ "log_step": 152,
569
+ "evidence_zh": "观察:视频10.68–12.56 s机器人保持雪板支撑及站立姿态持续下滑,没有完成下一门所需的横向换向,滑行路线偏离第2门通道;最终文件裁判回放报告missed a gate,仅通过1门(log step 152),评分器fell=0。"
570
+ }
571
+ ],
572
+ "root_causes": [
573
+ {
574
+ "cat": "控制",
575
+ "item": "控制",
576
+ "log_step": 119,
577
+ "source_zh": "日志 / 视频 / 评分器字段",
578
+ "evidence_zh": "推断:agent的滑雪转向控制未能实现第2门所需的横向换向。log step 119交付生成代码按gates_passed选择当前门,以门侧横向目标±2 m和速度航向误差计算双髋偏航,同时保持双髋侧倾±0.10 rad的支撑姿态,说明控制目标确实切换到第2门;但同一文件经log step 121、142、152回放均只通过首门,且视频10.68–12.56 s显示持续下滑而未完成切入。证据支持控制能力不足,未足以区分具体反馈律、关节响应或雪板接触设计子类。"
579
+ }
580
+ ],
581
+ "gap_zh": "输入没有逐帧状态日志;本次与成功参考录像均为固定远景,后退的机器人较小,无法直接辨清两脚及两板尖四点的精确越线时刻,也无法定量还原关节响应和雪面接触力。首门四点验收和后续未达依据最终交付文件的裁判阶段及metric_gates=1,首门视频时间约有0.2 s不确定性;log step 128、138等是其他参数的会话诊断,未当作本次逐帧状态。"
582
+ },
583
+ "summary_zh": "机器人自行越过起点,并在视频约10.7 s通过第1门,最终完成1/33个DAG节点;随后保持站立下滑但未切入第2门,交付回放以漏门结束。控制脚本虽按门序切换横向目标,实际转向未完成所需换向,故断点为第2门、现象为全身步态偏离,根因标为控制。无逐帧状态日志且录像为固定远景,四个受检点的精细验收依赖同一交付文件的裁判结果,不能确定更细的控制原因。",
584
+ "conf": 8,
585
+ "review": {
586
+ "status": "agreed",
587
+ "rounds": 1,
588
+ "reviewers": [
589
+ {
590
+ "engine": "claude",
591
+ "model": "claude-sonnet-5-5",
592
+ "round": 1,
593
+ "verdict": "agree",
594
+ "conf": 6,
595
+ "summary_zh": "gate_1 达到、gate_2 起未达到与评分器 stages=[start, gate 1]、metric_gates=1 一致;时钟用同一交付回合的控制步映射并给出核对,断点 gate_2、步态现象与控制根因有日志与裁判字段支撑,未发现需改内容的错误。固定远景下机器人很小,帧无法独立确认细节。",
596
+ "n_issues": 0,
597
+ "n_major": 0
598
+ }
599
+ ],
600
+ "open_zh": []
601
+ },
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
604
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
607
+ "effort": "high",
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+ "created": "2026-10-31T00:42:52Z",
609
+ "review_prompt": "prompts/04_trajectory_review.md",
610
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ {
615
+ "stage": "traj",
616
+ "round": 0,
617
+ "ok": true,
618
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--oqgxgoi/03_label"
619
+ },
620
+ {
621
+ "stage": "traj_review",
622
+ "round": 1,
623
+ "ok": true,
624
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--oqgxgoi/04_review_r1"
625
+ }
626
+ ],
627
+ "review_engine": "claude",
628
+ "review_model": "claude-sonnet-5-5",
629
+ "inputs": {
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+ "run_json_sha256": "34b2061c042bd0fc209cb0dd27a6b44c6bd2646e60a3a06c9fb27d3377d9e57c",
631
+ "video_sha256": "1cf2e496705ed0599b0007370b1b7c17b11db2d3ee6f3ce72b879c1ffe864ef4",
632
+ "states_sha256": null,
633
+ "video_choice": "HF replay.mp4"
634
+ }
635
+ }
636
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--q4lfqnl.json ADDED
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1
+ {
2
+ "schema": "efe-trajectory-labels/1",
3
+ "taxonomy": "v2",
4
+ "runId": "embodied-olympics-fun-alpine-slalom-i00-privileged--q4lfqnl",
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+ "taskKey": "embodied-olympics-fun/alpine_slalom",
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+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
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+ "outcome": {
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+ "success": 1,
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+ "reward": 1.0,
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+ "source": "catalog",
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+ "raw": {
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+ "success": 1,
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+ "replay_success": 1,
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+ "deterministic": 1,
15
+ "n_actions": 7738,
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+ "sim_steps": 7738,
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+ "horizon": 9000,
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+ "episode_over": 1,
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+ "progress": 1.0,
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+ "stages_reached": 34,
21
+ "stages_total": 34,
22
+ "fell": 0,
23
+ "replay_s": 93.24,
24
+ "bad_trajectory": 0,
25
+ "metric_gates": 32.0,
26
+ "metric_speed_m_s": 5.169,
27
+ "metric_time_s": 73.028,
28
+ "grader_error": 0,
29
+ "video_rendered": 1,
30
+ "agent_sessions": 414,
31
+ "agent_resets": 0,
32
+ "agent_replays": 3,
33
+ "agent_cost_self_reported": 1,
34
+ "resource_enforced": 0,
35
+ "limits_violation_observed": 0,
36
+ "resource_monitor_missing": 0,
37
+ "peak_gpu_memory_gb": 0,
38
+ "peak_memory_gb": 6.993,
39
+ "peak_processes": 20,
40
+ "peak_disk_gb": 0.248,
41
+ "resource_emergency_kills": 0,
42
+ "resource_oom_kills": 0,
43
+ "resource_host_oom_kills": 0,
44
+ "resource_service_oom_kills": 0,
45
+ "session_log_tampered": 0,
46
+ "session_log_from_monitor": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--q4lfqnl/replay.mp4",
52
+ "duration_s": 77.4,
53
+ "fps": 25.0,
54
+ "frames": 1935,
55
+ "sha256": "b4518f76c634e1c9cad16c083ceba6aca52d7ac40346ac16a0e0c2bfc997a3f5"
56
+ },
57
+ "state": null,
58
+ "progress": {
59
+ "method": "visual",
60
+ "denominator": 33,
61
+ "base": null,
62
+ "peak": null,
63
+ "final": 33,
64
+ "nodes": {
65
+ "gate_1_passed": {
66
+ "method": "visual",
67
+ "intervals": [
68
+ [
69
+ 11.3,
70
+ null
71
+ ]
72
+ ],
73
+ "final": true,
74
+ "evidence": [
75
+ {
76
+ "t": null,
77
+ "log_step": 80,
78
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第1道门已通过并锁存。"
79
+ },
80
+ {
81
+ "t": 11.3,
82
+ "log_step": null,
83
+ "text_zh": "观察:视频 10.8–11.6 s 的密集抽帧中,机器人以双腿分开、两板贴雪的姿态滑过第1对旗杆所在区域,随后继续向下一门滑行。推断:结合最终裁判通过32门,将本门首次通过近似定位在视频 11.3 s,误差约0.5 s;远景不能独立分辨四个受检点的精确越线先后。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "支撑",
90
+ "note_zh": "观察:视频 10.8–11.6 s 中,机器人双脚所连雪板贴着雪面滑行,双腿分开支承身体通过第1门;未见上肢参与支承。"
91
+ }
92
+ ]
93
+ },
94
+ "gate_2_passed": {
95
+ "method": "visual",
96
+ "intervals": [
97
+ [
98
+ 13.8,
99
+ null
100
+ ]
101
+ ],
102
+ "final": true,
103
+ "evidence": [
104
+ {
105
+ "t": null,
106
+ "log_step": 80,
107
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第2道门已通过并锁存。"
108
+ },
109
+ {
110
+ "t": 13.8,
111
+ "log_step": null,
112
+ "text_zh": "观察:视频 13.2–14.0 s 的密集抽帧中,机器人以双腿分开、两板贴雪的姿态滑过第2对旗杆所在区域,随后继续向下一门滑行。推断:结合最终裁判通过32门,将本门首次通过近似定位在视频 13.8 s,误差约0.5 s;远景不能独立分辨四个受检点的精确越线先后。"
113
+ }
114
+ ],
115
+ "contact_actual": [
116
+ {
117
+ "who": "腿/躯干",
118
+ "how": "支撑",
119
+ "note_zh": "观察:视频 13.2–14.0 s 中,机器人双脚所连雪板贴着雪面滑行,双腿分开支承身体通过第2门;未见上肢参与支承。"
120
+ }
121
+ ]
122
+ },
123
+ "gate_3_passed": {
124
+ "method": "visual",
125
+ "intervals": [
126
+ [
127
+ 15.6,
128
+ null
129
+ ]
130
+ ],
131
+ "final": true,
132
+ "evidence": [
133
+ {
134
+ "t": null,
135
+ "log_step": 80,
136
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第3道门已通过并锁存。"
137
+ },
138
+ {
139
+ "t": 15.6,
140
+ "log_step": null,
141
+ "text_zh": "观察:视频 14.8–16.2 s 的密集抽帧中,机器人以双腿分开、两板贴���的姿态滑过第3对旗杆所在区域,随后继续向下一门滑行。推断:结合最终裁判通过32门,将本门首次通过近似定位在视频 15.6 s,误差约0.5 s;远景不能独立分辨四个受检点的精确越线先后。"
142
+ }
143
+ ],
144
+ "contact_actual": [
145
+ {
146
+ "who": "腿/躯干",
147
+ "how": "支撑",
148
+ "note_zh": "观察:视频 14.8–16.2 s 中,机器人双脚所连雪板贴着雪面滑行,双腿分开支承身体通过第3门;未见上肢参与支承。"
149
+ }
150
+ ]
151
+ },
152
+ "gate_4_passed": {
153
+ "method": "visual",
154
+ "intervals": null,
155
+ "final": true,
156
+ "evidence": [
157
+ {
158
+ "t": null,
159
+ "log_step": 80,
160
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第4道门已通过并锁存。"
161
+ },
162
+ {
163
+ "t": null,
164
+ "log_step": null,
165
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
166
+ }
167
+ ],
168
+ "contact_actual": [
169
+ {
170
+ "who": "未知",
171
+ "how": "未知",
172
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
173
+ }
174
+ ]
175
+ },
176
+ "gate_5_passed": {
177
+ "method": "visual",
178
+ "intervals": null,
179
+ "final": true,
180
+ "evidence": [
181
+ {
182
+ "t": null,
183
+ "log_step": 80,
184
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第5道门已通过并锁存。"
185
+ },
186
+ {
187
+ "t": null,
188
+ "log_step": null,
189
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
190
+ }
191
+ ],
192
+ "contact_actual": [
193
+ {
194
+ "who": "未知",
195
+ "how": "未知",
196
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
197
+ }
198
+ ]
199
+ },
200
+ "gate_6_passed": {
201
+ "method": "visual",
202
+ "intervals": null,
203
+ "final": true,
204
+ "evidence": [
205
+ {
206
+ "t": null,
207
+ "log_step": 80,
208
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第6道门已通过并锁存。"
209
+ },
210
+ {
211
+ "t": null,
212
+ "log_step": null,
213
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
214
+ }
215
+ ],
216
+ "contact_actual": [
217
+ {
218
+ "who": "未知",
219
+ "how": "未知",
220
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
221
+ }
222
+ ]
223
+ },
224
+ "gate_7_passed": {
225
+ "method": "visual",
226
+ "intervals": null,
227
+ "final": true,
228
+ "evidence": [
229
+ {
230
+ "t": null,
231
+ "log_step": 80,
232
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第7道门已通过并锁存。"
233
+ },
234
+ {
235
+ "t": null,
236
+ "log_step": null,
237
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
238
+ }
239
+ ],
240
+ "contact_actual": [
241
+ {
242
+ "who": "未知",
243
+ "how": "未知",
244
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
245
+ }
246
+ ]
247
+ },
248
+ "gate_8_passed": {
249
+ "method": "visual",
250
+ "intervals": null,
251
+ "final": true,
252
+ "evidence": [
253
+ {
254
+ "t": null,
255
+ "log_step": 80,
256
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第8道门已通过并锁存。"
257
+ },
258
+ {
259
+ "t": null,
260
+ "log_step": null,
261
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
262
+ }
263
+ ],
264
+ "contact_actual": [
265
+ {
266
+ "who": "未知",
267
+ "how": "未知",
268
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
269
+ }
270
+ ]
271
+ },
272
+ "gate_9_passed": {
273
+ "method": "visual",
274
+ "intervals": null,
275
+ "final": true,
276
+ "evidence": [
277
+ {
278
+ "t": null,
279
+ "log_step": 80,
280
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第9道门已通过并锁存。"
281
+ },
282
+ {
283
+ "t": null,
284
+ "log_step": null,
285
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
286
+ }
287
+ ],
288
+ "contact_actual": [
289
+ {
290
+ "who": "未知",
291
+ "how": "未知",
292
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
293
+ }
294
+ ]
295
+ },
296
+ "gate_10_passed": {
297
+ "method": "visual",
298
+ "intervals": null,
299
+ "final": true,
300
+ "evidence": [
301
+ {
302
+ "t": null,
303
+ "log_step": 80,
304
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第10道门已通过并锁存。"
305
+ },
306
+ {
307
+ "t": null,
308
+ "log_step": null,
309
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
310
+ }
311
+ ],
312
+ "contact_actual": [
313
+ {
314
+ "who": "未知",
315
+ "how": "未知",
316
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
317
+ }
318
+ ]
319
+ },
320
+ "gate_11_passed": {
321
+ "method": "visual",
322
+ "intervals": null,
323
+ "final": true,
324
+ "evidence": [
325
+ {
326
+ "t": null,
327
+ "log_step": 80,
328
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第11道门已通过并锁存。"
329
+ },
330
+ {
331
+ "t": null,
332
+ "log_step": null,
333
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
334
+ }
335
+ ],
336
+ "contact_actual": [
337
+ {
338
+ "who": "未知",
339
+ "how": "未知",
340
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
341
+ }
342
+ ]
343
+ },
344
+ "gate_12_passed": {
345
+ "method": "visual",
346
+ "intervals": null,
347
+ "final": true,
348
+ "evidence": [
349
+ {
350
+ "t": null,
351
+ "log_step": 80,
352
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第12道门已通过并锁存。"
353
+ },
354
+ {
355
+ "t": null,
356
+ "log_step": null,
357
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
358
+ }
359
+ ],
360
+ "contact_actual": [
361
+ {
362
+ "who": "未知",
363
+ "how": "未知",
364
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
365
+ }
366
+ ]
367
+ },
368
+ "gate_13_passed": {
369
+ "method": "visual",
370
+ "intervals": null,
371
+ "final": true,
372
+ "evidence": [
373
+ {
374
+ "t": null,
375
+ "log_step": 80,
376
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第13道门已通过并锁存。"
377
+ },
378
+ {
379
+ "t": null,
380
+ "log_step": null,
381
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
382
+ }
383
+ ],
384
+ "contact_actual": [
385
+ {
386
+ "who": "未知",
387
+ "how": "未知",
388
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
389
+ }
390
+ ]
391
+ },
392
+ "gate_14_passed": {
393
+ "method": "visual",
394
+ "intervals": null,
395
+ "final": true,
396
+ "evidence": [
397
+ {
398
+ "t": null,
399
+ "log_step": 80,
400
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第14道门已通过并锁存。"
401
+ },
402
+ {
403
+ "t": null,
404
+ "log_step": null,
405
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
406
+ }
407
+ ],
408
+ "contact_actual": [
409
+ {
410
+ "who": "未知",
411
+ "how": "未知",
412
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
413
+ }
414
+ ]
415
+ },
416
+ "gate_15_passed": {
417
+ "method": "visual",
418
+ "intervals": null,
419
+ "final": true,
420
+ "evidence": [
421
+ {
422
+ "t": null,
423
+ "log_step": 80,
424
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第15道门已通过并锁存。"
425
+ },
426
+ {
427
+ "t": null,
428
+ "log_step": null,
429
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
430
+ }
431
+ ],
432
+ "contact_actual": [
433
+ {
434
+ "who": "未知",
435
+ "how": "未知",
436
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
437
+ }
438
+ ]
439
+ },
440
+ "gate_16_passed": {
441
+ "method": "visual",
442
+ "intervals": null,
443
+ "final": true,
444
+ "evidence": [
445
+ {
446
+ "t": null,
447
+ "log_step": 80,
448
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第16道门已通过并锁存。"
449
+ },
450
+ {
451
+ "t": null,
452
+ "log_step": null,
453
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
454
+ }
455
+ ],
456
+ "contact_actual": [
457
+ {
458
+ "who": "未知",
459
+ "how": "未知",
460
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
461
+ }
462
+ ]
463
+ },
464
+ "gate_17_passed": {
465
+ "method": "visual",
466
+ "intervals": null,
467
+ "final": true,
468
+ "evidence": [
469
+ {
470
+ "t": null,
471
+ "log_step": 80,
472
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第17道门已通过并锁存。"
473
+ },
474
+ {
475
+ "t": null,
476
+ "log_step": null,
477
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
478
+ }
479
+ ],
480
+ "contact_actual": [
481
+ {
482
+ "who": "未知",
483
+ "how": "未知",
484
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
485
+ }
486
+ ]
487
+ },
488
+ "gate_18_passed": {
489
+ "method": "visual",
490
+ "intervals": null,
491
+ "final": true,
492
+ "evidence": [
493
+ {
494
+ "t": null,
495
+ "log_step": 80,
496
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第18道门已通过并锁存。"
497
+ },
498
+ {
499
+ "t": null,
500
+ "log_step": null,
501
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
502
+ }
503
+ ],
504
+ "contact_actual": [
505
+ {
506
+ "who": "未知",
507
+ "how": "未知",
508
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
509
+ }
510
+ ]
511
+ },
512
+ "gate_19_passed": {
513
+ "method": "visual",
514
+ "intervals": null,
515
+ "final": true,
516
+ "evidence": [
517
+ {
518
+ "t": null,
519
+ "log_step": 80,
520
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第19道门已通过并锁存。"
521
+ },
522
+ {
523
+ "t": null,
524
+ "log_step": null,
525
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
526
+ }
527
+ ],
528
+ "contact_actual": [
529
+ {
530
+ "who": "未知",
531
+ "how": "未知",
532
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
533
+ }
534
+ ]
535
+ },
536
+ "gate_20_passed": {
537
+ "method": "visual",
538
+ "intervals": null,
539
+ "final": true,
540
+ "evidence": [
541
+ {
542
+ "t": null,
543
+ "log_step": 80,
544
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第20道门已通过并锁存。"
545
+ },
546
+ {
547
+ "t": null,
548
+ "log_step": null,
549
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
550
+ }
551
+ ],
552
+ "contact_actual": [
553
+ {
554
+ "who": "未知",
555
+ "how": "未知",
556
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
557
+ }
558
+ ]
559
+ },
560
+ "gate_21_passed": {
561
+ "method": "visual",
562
+ "intervals": null,
563
+ "final": true,
564
+ "evidence": [
565
+ {
566
+ "t": null,
567
+ "log_step": 80,
568
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第21道门已通过并锁存。"
569
+ },
570
+ {
571
+ "t": null,
572
+ "log_step": null,
573
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
574
+ }
575
+ ],
576
+ "contact_actual": [
577
+ {
578
+ "who": "未知",
579
+ "how": "未知",
580
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
581
+ }
582
+ ]
583
+ },
584
+ "gate_22_passed": {
585
+ "method": "visual",
586
+ "intervals": null,
587
+ "final": true,
588
+ "evidence": [
589
+ {
590
+ "t": null,
591
+ "log_step": 80,
592
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第22道门已通过并锁存。"
593
+ },
594
+ {
595
+ "t": null,
596
+ "log_step": null,
597
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
598
+ }
599
+ ],
600
+ "contact_actual": [
601
+ {
602
+ "who": "未知",
603
+ "how": "未知",
604
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
605
+ }
606
+ ]
607
+ },
608
+ "gate_23_passed": {
609
+ "method": "visual",
610
+ "intervals": null,
611
+ "final": true,
612
+ "evidence": [
613
+ {
614
+ "t": null,
615
+ "log_step": 80,
616
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第23道门已通过并锁存。"
617
+ },
618
+ {
619
+ "t": null,
620
+ "log_step": null,
621
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
622
+ }
623
+ ],
624
+ "contact_actual": [
625
+ {
626
+ "who": "未知",
627
+ "how": "未知",
628
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
629
+ }
630
+ ]
631
+ },
632
+ "gate_24_passed": {
633
+ "method": "visual",
634
+ "intervals": null,
635
+ "final": true,
636
+ "evidence": [
637
+ {
638
+ "t": null,
639
+ "log_step": 80,
640
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第24道门已通过并锁存。"
641
+ },
642
+ {
643
+ "t": null,
644
+ "log_step": null,
645
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
646
+ }
647
+ ],
648
+ "contact_actual": [
649
+ {
650
+ "who": "未知",
651
+ "how": "未知",
652
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
653
+ }
654
+ ]
655
+ },
656
+ "gate_25_passed": {
657
+ "method": "visual",
658
+ "intervals": null,
659
+ "final": true,
660
+ "evidence": [
661
+ {
662
+ "t": null,
663
+ "log_step": 80,
664
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第25道门已通过并锁存。"
665
+ },
666
+ {
667
+ "t": null,
668
+ "log_step": null,
669
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
670
+ }
671
+ ],
672
+ "contact_actual": [
673
+ {
674
+ "who": "未知",
675
+ "how": "未知",
676
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
677
+ }
678
+ ]
679
+ },
680
+ "gate_26_passed": {
681
+ "method": "visual",
682
+ "intervals": null,
683
+ "final": true,
684
+ "evidence": [
685
+ {
686
+ "t": null,
687
+ "log_step": 80,
688
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第26道门已通过并锁存。"
689
+ },
690
+ {
691
+ "t": null,
692
+ "log_step": null,
693
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
694
+ }
695
+ ],
696
+ "contact_actual": [
697
+ {
698
+ "who": "未知",
699
+ "how": "未知",
700
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接��方式不能逐门从画面确认。"
701
+ }
702
+ ]
703
+ },
704
+ "gate_27_passed": {
705
+ "method": "visual",
706
+ "intervals": null,
707
+ "final": true,
708
+ "evidence": [
709
+ {
710
+ "t": null,
711
+ "log_step": 80,
712
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第27道门已通过并锁存。"
713
+ },
714
+ {
715
+ "t": null,
716
+ "log_step": null,
717
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
718
+ }
719
+ ],
720
+ "contact_actual": [
721
+ {
722
+ "who": "未知",
723
+ "how": "未知",
724
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
725
+ }
726
+ ]
727
+ },
728
+ "gate_28_passed": {
729
+ "method": "visual",
730
+ "intervals": null,
731
+ "final": true,
732
+ "evidence": [
733
+ {
734
+ "t": null,
735
+ "log_step": 80,
736
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第28道门已通过并锁存。"
737
+ },
738
+ {
739
+ "t": null,
740
+ "log_step": null,
741
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
742
+ }
743
+ ],
744
+ "contact_actual": [
745
+ {
746
+ "who": "未知",
747
+ "how": "未知",
748
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
749
+ }
750
+ ]
751
+ },
752
+ "gate_29_passed": {
753
+ "method": "visual",
754
+ "intervals": null,
755
+ "final": true,
756
+ "evidence": [
757
+ {
758
+ "t": null,
759
+ "log_step": 80,
760
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第29道门已通过并锁存。"
761
+ },
762
+ {
763
+ "t": null,
764
+ "log_step": null,
765
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
766
+ }
767
+ ],
768
+ "contact_actual": [
769
+ {
770
+ "who": "未知",
771
+ "how": "未知",
772
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
773
+ }
774
+ ]
775
+ },
776
+ "gate_30_passed": {
777
+ "method": "visual",
778
+ "intervals": null,
779
+ "final": true,
780
+ "evidence": [
781
+ {
782
+ "t": null,
783
+ "log_step": 80,
784
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第30道门已通过并锁存。"
785
+ },
786
+ {
787
+ "t": null,
788
+ "log_step": null,
789
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
790
+ }
791
+ ],
792
+ "contact_actual": [
793
+ {
794
+ "who": "未知",
795
+ "how": "未知",
796
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
797
+ }
798
+ ]
799
+ },
800
+ "gate_31_passed": {
801
+ "method": "visual",
802
+ "intervals": null,
803
+ "final": true,
804
+ "evidence": [
805
+ {
806
+ "t": null,
807
+ "log_step": 80,
808
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第31道门已通过并锁存。"
809
+ },
810
+ {
811
+ "t": null,
812
+ "log_step": null,
813
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
814
+ }
815
+ ],
816
+ "contact_actual": [
817
+ {
818
+ "who": "未知",
819
+ "how": "未知",
820
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
821
+ }
822
+ ]
823
+ },
824
+ "gate_32_passed": {
825
+ "method": "visual",
826
+ "intervals": null,
827
+ "final": true,
828
+ "evidence": [
829
+ {
830
+ "t": null,
831
+ "log_step": 80,
832
+ "text_zh": "观察:评分器 reward.metric_gates=32、stages_reached=34/34、success=1、replay_success=1;log step 77 保存最终交付轨迹,log step 80 的两次独立校验器回放均报告 gates=32、终阶段 finish、success=True,且终态哈希相同。推断:按本任务必须依次过门的裁判规则,第32道门已通过并锁存。"
833
+ },
834
+ {
835
+ "t": null,
836
+ "log_step": null,
837
+ "text_zh": "观察:已检查全片约每2秒抽帧、视频 17–30 s 的放大帧和视频 76.4–77.36 s 的密集末段帧;固定远景中的机器人逐渐缩小,后段无法辨认双脚、板尖及对应门线。推断:最终完成值由裁判记录决定,但本门首次过门的视频时间无法可靠定位,intervals 留 null;未按门间距或平均速度插值。"
838
+ }
839
+ ],
840
+ "contact_actual": [
841
+ {
842
+ "who": "未知",
843
+ "how": "未知",
844
+ "note_zh": "观察:固定远景无法分辨本门附近双脚及雪板与雪面的接触细节;本门已尝试并通过由最终裁判门数支持,实际接触方式不能逐门从画面确认。"
845
+ }
846
+ ]
847
+ },
848
+ "finish_crossed": {
849
+ "method": "visual",
850
+ "intervals": null,
851
+ "final": true,
852
+ "evidence": [
853
+ {
854
+ "t": null,
855
+ "log_step": 80,
856
+ "text_zh": "观察:log step 77 保存最终轨迹并返回 success=True;log step 78 确认交付文件有7738行动行;log step 80 的两次独立校验器回放均返回 success=True、failed=None、终阶段 finish、gates=32、time_s=73.028,终态哈希一致。评分器 success=1、replay_success=1、deterministic=1。推断:本次交付已在裁判接受条件内通过终点。"
857
+ },
858
+ {
859
+ "t": 77.36,
860
+ "log_step": null,
861
+ "text_zh": "观察:视频 76.4–77.36 s 的密集末段帧及视频 77.36 s 原帧仍是起点方向的固定远景,机器人和终点双脚越线细节不可辨认。推断:不能从最后一帧或机器人消失定位首次通过终点的视频时刻,intervals 留 null;评分器 time_s=73.028 是起滑后的净比赛用时,未当作视频时间。"
862
+ }
863
+ ],
864
+ "contact_actual": [
865
+ {
866
+ "who": "未知",
867
+ "how": "未知",
868
+ "note_zh": "观察:终点不在固定远景的可辨范围,无法从末段帧确认机器人越过终点时的具体支承接触。"
869
+ }
870
+ ]
871
+ }
872
+ },
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+ "constraints": {}
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+ "native_metrics": [
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877
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+ "unit": "count",
879
+ "threshold": 32,
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+ "direction": "higher_better",
881
+ "value": 32.0
882
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884
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+ "unit": "m/s",
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+ "threshold": 0.1,
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+ "direction": "higher_better",
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+ "value": 5.169
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891
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+ "unit": "s",
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+ "threshold": null,
894
+ "direction": "lower_better",
895
+ "value": 73.028
896
+ }
897
+ ],
898
+ "failure": null,
899
+ "summary_zh": "观察:机器人自行起滑并在前段保持双板贴雪、分腿支承滑行;评分器及 log step 80 的两次独立交付回放均确认依次通过32道旗门并到达终点,33/33个节点最终完成,净比赛用时73.028秒。推断:本次受评轨迹成功,无失败断点,会话内其他试验的摔倒和漏门不属于这次交付。观察:视频为固定远景,无状态日志,也无独立参考录像;前三门的视频时间仅能近似定位,后续逐门及终点的首次达成时间、逐门接触细节均无���可靠辨认,故相应 intervals 留 null、contact_actual 标未知,最终完成值依据裁判记录。",
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+ "conf": 6,
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+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 7,
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+ "summary_zh": "成功运行,33/33节点最终为true与评分器(32门、stages 34/34、未摔倒)一致;前三门有近似时间,后续门依赖裁判记录留null、contact_actual标未知,合理。无失败断点。",
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+ "n_issues": 0,
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+ "n_major": 0
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+ }
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+ "open_zh": []
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+ },
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:40:35Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ "stage": "traj",
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+ "round": 0,
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+ "ok": true,
934
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--q4lfqnl/03_label"
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+ {
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+ "stage": "traj_review",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--q4lfqnl/04_review_r1"
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+ }
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "ca123b6af674ae4ce515fff7be00115a08d8ec18e1fce88b3cb1d8c4c19157fc",
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+ "video_sha256": "b4518f76c634e1c9cad16c083ceba6aca52d7ac40346ac16a0e0c2bfc997a3f5",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ "log_step": null,
77
+ "text_zh": "观察:视频 10.8–11.48 s,机器人以双脚固定的雪板支承滑行,穿过第1对旗杆所在区域后继续下坡;远景不足以独立分辨四个受检点的越线顺序。"
78
+ },
79
+ {
80
+ "t": 11.2,
81
+ "log_step": 285,
82
+ "text_zh": "观察:log step 285 是对已交付 trajectory.npz 的官方回放结果,裁判 stages 含 start、gate 1、gate 2;第1门事件记录为仿真 11.152 s。最终评分器也报告 metric_gates=2、stages_reached=3、deterministic=1,与该回放一致。"
83
+ },
84
+ {
85
+ "t": 11.2,
86
+ "log_step": 7,
87
+ "text_zh": "推断:log step 7 的控制周期为0.01秒,交付回放的1350控制步对应13.50秒,与视频13.52秒总长及视频13.48 s倒地末帧核对一致;结合所看片段,将第1门达成定位到视频 11.2 s,精度约0.1秒。此前已接受的过门事件锁存至结束。"
88
+ }
89
+ ],
90
+ "contact_actual": [
91
+ {
92
+ "who": "腿/躯干",
93
+ "how": "支撑",
94
+ "note_zh": "观察:机器人双脚经各自固定的雪板在雪面承重滑行,以双腿和躯干调整姿态通过第1门;无手持工具。"
95
+ }
96
+ ]
97
+ },
98
+ "gate_2_passed": {
99
+ "method": "visual",
100
+ "intervals": [
101
+ [
102
+ 12.4,
103
+ null
104
+ ]
105
+ ],
106
+ "final": true,
107
+ "evidence": [
108
+ {
109
+ "t": 12.4,
110
+ "log_step": null,
111
+ "text_zh": "观察:视频 12.2–12.60 s,机器人以双脚固定的雪板支承滑行,穿过第2对旗杆所在区域后继续下坡;远景不足以独立分辨四个受检点的越线顺序。"
112
+ },
113
+ {
114
+ "t": 12.4,
115
+ "log_step": 285,
116
+ "text_zh": "观察:log step 285 是对已交付 trajectory.npz 的官方回放结果,裁判 stages 含 start、gate 1、gate 2;第2门事件记录为仿真 12.421 s。最终评分器也报告 metric_gates=2、stages_reached=3、deterministic=1,与该回放一致。"
117
+ },
118
+ {
119
+ "t": 12.4,
120
+ "log_step": 7,
121
+ "text_zh": "推断:log step 7 的控制周期为0.01秒,交付回放的1350控制步对应13.50秒,与视频13.52秒总长及视频13.48 s倒地末帧核对一致;结合所看片段,将第2门达成定位到视频 12.4 s,精度约0.1秒。此前已接受的过门事件锁存至结束。"
122
+ }
123
+ ],
124
+ "contact_actual": [
125
+ {
126
+ "who": "腿/躯干",
127
+ "how": "支撑",
128
+ "note_zh": "观察:机器人双脚经各自固定的雪板在雪面承重滑行,以双腿和躯干调整姿态通过第2门;无手持工具。"
129
+ }
130
+ ]
131
+ },
132
+ "gate_3_passed": {
133
+ "method": "visual",
134
+ "intervals": [],
135
+ "final": false,
136
+ "evidence": [
137
+ {
138
+ "t": 13.1,
139
+ "log_step": null,
140
+ "text_zh": "观察:视频12.6–13.48 s,机器人离开第2门区域后继续朝后续旗门滑行,朝向快速改变,视频约13.1 s开始明显倾倒,视频13.4–13.48 s身体横倒,未恢复滑行姿态。"
141
+ },
142
+ {
143
+ "t": 13.48,
144
+ "log_step": 285,
145
+ "text_zh": "推断:log step 285 的交付回放只接受前两门,随��裁判以 fell 终止,最终评分器 metric_gates=2、fell=1;结合视频末段倒地,依顺序验收的第3门从未被接受。"
146
+ }
147
+ ],
148
+ "contact_actual": [
149
+ {
150
+ "who": "腿/躯干",
151
+ "how": "支撑",
152
+ "note_zh": "观察:视频12.6–13.0 s机器人双脚经固定雪板支承在雪面上,双腿及躯干参与向第3门滑行和转向;随后失衡倒下。"
153
+ }
154
+ ]
155
+ },
156
+ "gate_4_passed": {
157
+ "method": "visual",
158
+ "intervals": [],
159
+ "final": false,
160
+ "evidence": [
161
+ {
162
+ "t": 13.48,
163
+ "log_step": 285,
164
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第4门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
165
+ }
166
+ ]
167
+ },
168
+ "gate_5_passed": {
169
+ "method": "visual",
170
+ "intervals": [],
171
+ "final": false,
172
+ "evidence": [
173
+ {
174
+ "t": 13.48,
175
+ "log_step": 285,
176
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第5门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
177
+ }
178
+ ]
179
+ },
180
+ "gate_6_passed": {
181
+ "method": "visual",
182
+ "intervals": [],
183
+ "final": false,
184
+ "evidence": [
185
+ {
186
+ "t": 13.48,
187
+ "log_step": 285,
188
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第6门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
189
+ }
190
+ ]
191
+ },
192
+ "gate_7_passed": {
193
+ "method": "visual",
194
+ "intervals": [],
195
+ "final": false,
196
+ "evidence": [
197
+ {
198
+ "t": 13.48,
199
+ "log_step": 285,
200
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第7门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
201
+ }
202
+ ]
203
+ },
204
+ "gate_8_passed": {
205
+ "method": "visual",
206
+ "intervals": [],
207
+ "final": false,
208
+ "evidence": [
209
+ {
210
+ "t": 13.48,
211
+ "log_step": 285,
212
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第8门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
213
+ }
214
+ ]
215
+ },
216
+ "gate_9_passed": {
217
+ "method": "visual",
218
+ "intervals": [],
219
+ "final": false,
220
+ "evidence": [
221
+ {
222
+ "t": 13.48,
223
+ "log_step": 285,
224
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第9门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
225
+ }
226
+ ]
227
+ },
228
+ "gate_10_passed": {
229
+ "method": "visual",
230
+ "intervals": [],
231
+ "final": false,
232
+ "evidence": [
233
+ {
234
+ "t": 13.48,
235
+ "log_step": 285,
236
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第10门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
237
+ }
238
+ ]
239
+ },
240
+ "gate_11_passed": {
241
+ "method": "visual",
242
+ "intervals": [],
243
+ "final": false,
244
+ "evidence": [
245
+ {
246
+ "t": 13.48,
247
+ "log_step": 285,
248
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第11门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
249
+ }
250
+ ]
251
+ },
252
+ "gate_12_passed": {
253
+ "method": "visual",
254
+ "intervals": [],
255
+ "final": false,
256
+ "evidence": [
257
+ {
258
+ "t": 13.48,
259
+ "log_step": 285,
260
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第12门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
261
+ }
262
+ ]
263
+ },
264
+ "gate_13_passed": {
265
+ "method": "visual",
266
+ "intervals": [],
267
+ "final": false,
268
+ "evidence": [
269
+ {
270
+ "t": 13.48,
271
+ "log_step": 285,
272
+ "text_zh": "推断:视频13.4–13.48 s机器人已在��段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第13门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
273
+ }
274
+ ]
275
+ },
276
+ "gate_14_passed": {
277
+ "method": "visual",
278
+ "intervals": [],
279
+ "final": false,
280
+ "evidence": [
281
+ {
282
+ "t": 13.48,
283
+ "log_step": 285,
284
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第14门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
285
+ }
286
+ ]
287
+ },
288
+ "gate_15_passed": {
289
+ "method": "visual",
290
+ "intervals": [],
291
+ "final": false,
292
+ "evidence": [
293
+ {
294
+ "t": 13.48,
295
+ "log_step": 285,
296
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第15门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
297
+ }
298
+ ]
299
+ },
300
+ "gate_16_passed": {
301
+ "method": "visual",
302
+ "intervals": [],
303
+ "final": false,
304
+ "evidence": [
305
+ {
306
+ "t": 13.48,
307
+ "log_step": 285,
308
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第16门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
309
+ }
310
+ ]
311
+ },
312
+ "gate_17_passed": {
313
+ "method": "visual",
314
+ "intervals": [],
315
+ "final": false,
316
+ "evidence": [
317
+ {
318
+ "t": 13.48,
319
+ "log_step": 285,
320
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第17门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
321
+ }
322
+ ]
323
+ },
324
+ "gate_18_passed": {
325
+ "method": "visual",
326
+ "intervals": [],
327
+ "final": false,
328
+ "evidence": [
329
+ {
330
+ "t": 13.48,
331
+ "log_step": 285,
332
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第18门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
333
+ }
334
+ ]
335
+ },
336
+ "gate_19_passed": {
337
+ "method": "visual",
338
+ "intervals": [],
339
+ "final": false,
340
+ "evidence": [
341
+ {
342
+ "t": 13.48,
343
+ "log_step": 285,
344
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第19门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
345
+ }
346
+ ]
347
+ },
348
+ "gate_20_passed": {
349
+ "method": "visual",
350
+ "intervals": [],
351
+ "final": false,
352
+ "evidence": [
353
+ {
354
+ "t": 13.48,
355
+ "log_step": 285,
356
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第20门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
357
+ }
358
+ ]
359
+ },
360
+ "gate_21_passed": {
361
+ "method": "visual",
362
+ "intervals": [],
363
+ "final": false,
364
+ "evidence": [
365
+ {
366
+ "t": 13.48,
367
+ "log_step": 285,
368
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第21门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
369
+ }
370
+ ]
371
+ },
372
+ "gate_22_passed": {
373
+ "method": "visual",
374
+ "intervals": [],
375
+ "final": false,
376
+ "evidence": [
377
+ {
378
+ "t": 13.48,
379
+ "log_step": 285,
380
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第22门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
381
+ }
382
+ ]
383
+ },
384
+ "gate_23_passed": {
385
+ "method": "visual",
386
+ "intervals": [],
387
+ "final": false,
388
+ "evidence": [
389
+ {
390
+ "t": 13.48,
391
+ "log_step": 285,
392
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。��23门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
393
+ }
394
+ ]
395
+ },
396
+ "gate_24_passed": {
397
+ "method": "visual",
398
+ "intervals": [],
399
+ "final": false,
400
+ "evidence": [
401
+ {
402
+ "t": 13.48,
403
+ "log_step": 285,
404
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第24门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
405
+ }
406
+ ]
407
+ },
408
+ "gate_25_passed": {
409
+ "method": "visual",
410
+ "intervals": [],
411
+ "final": false,
412
+ "evidence": [
413
+ {
414
+ "t": 13.48,
415
+ "log_step": 285,
416
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第25门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
417
+ }
418
+ ]
419
+ },
420
+ "gate_26_passed": {
421
+ "method": "visual",
422
+ "intervals": [],
423
+ "final": false,
424
+ "evidence": [
425
+ {
426
+ "t": 13.48,
427
+ "log_step": 285,
428
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第26门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
429
+ }
430
+ ]
431
+ },
432
+ "gate_27_passed": {
433
+ "method": "visual",
434
+ "intervals": [],
435
+ "final": false,
436
+ "evidence": [
437
+ {
438
+ "t": 13.48,
439
+ "log_step": 285,
440
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第27门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
441
+ }
442
+ ]
443
+ },
444
+ "gate_28_passed": {
445
+ "method": "visual",
446
+ "intervals": [],
447
+ "final": false,
448
+ "evidence": [
449
+ {
450
+ "t": 13.48,
451
+ "log_step": 285,
452
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第28门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
453
+ }
454
+ ]
455
+ },
456
+ "gate_29_passed": {
457
+ "method": "visual",
458
+ "intervals": [],
459
+ "final": false,
460
+ "evidence": [
461
+ {
462
+ "t": 13.48,
463
+ "log_step": 285,
464
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第29门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
465
+ }
466
+ ]
467
+ },
468
+ "gate_30_passed": {
469
+ "method": "visual",
470
+ "intervals": [],
471
+ "final": false,
472
+ "evidence": [
473
+ {
474
+ "t": 13.48,
475
+ "log_step": 285,
476
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第30门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
477
+ }
478
+ ]
479
+ },
480
+ "gate_31_passed": {
481
+ "method": "visual",
482
+ "intervals": [],
483
+ "final": false,
484
+ "evidence": [
485
+ {
486
+ "t": 13.48,
487
+ "log_step": 285,
488
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第31门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
489
+ }
490
+ ]
491
+ },
492
+ "gate_32_passed": {
493
+ "method": "visual",
494
+ "intervals": [],
495
+ "final": false,
496
+ "evidence": [
497
+ {
498
+ "t": 13.48,
499
+ "log_step": 285,
500
+ "text_zh": "推断:视频13.4–13.48 s机器人已在前段旗门区域横倒;log step 285 的交付回放 stages 仅为 start、gate 1、gate 2,并以 fell 结束,最终评分器 metric_gates=2。第32门的顺序前置未达成,因此该门从未被接受,本次未开始该门的工作。"
501
+ }
502
+ ]
503
+ },
504
+ "finish_crossed": {
505
+ "method": "visual",
506
+ "intervals": [],
507
+ "final": false,
508
+ "evidence": [
509
+ {
510
+ "t": 13.48,
511
+ "log_step": 285,
512
+ "text_zh": "推断:视频13.48 s机器人仍横倒在前段旗门区域;log step 285 的交付回放仅接受前两门,随后以 fell 结束,未记录 finish。32门前置未完成,故越过终点节点未达成;画面中的黑色拱架是起点。"
513
+ }
514
+ ]
515
+ }
516
+ },
517
+ "constraints": {}
518
+ },
519
+ "native_metrics": [
520
+ {
521
+ "name": "gates",
522
+ "unit": "count",
523
+ "threshold": 32,
524
+ "direction": "higher_better",
525
+ "value": 2.0
526
+ },
527
+ {
528
+ "name": "speed_m_s",
529
+ "unit": "m/s",
530
+ "threshold": 0.1,
531
+ "direction": "higher_better",
532
+ "value": 10.965
533
+ },
534
+ {
535
+ "name": "time_s",
536
+ "unit": "s",
537
+ "threshold": null,
538
+ "direction": "lower_better",
539
+ "value": null
540
+ }
541
+ ],
542
+ "failure": {
543
+ "breakpoint": {
544
+ "ref": "gate_3_passed",
545
+ "t": 13.1,
546
+ "log_step": 285,
547
+ "where": "操作中",
548
+ "evidence_zh": "观察:视频12.6–13.48 s机器人在通过第2门后继续向后续旗门滑行并转向,视频约13.1 s明显倾倒,视频13.4–13.48 s横倒且未恢复;log step 285 的交付回放只接受 start、gate 1、gate 2,裁判随后以 fell 终止(仿真13.50 s,骨盆高度0.34米)。第3门是正在推进而最终未完成的步骤。"
549
+ },
550
+ "unmet": {
551
+ "gate_1_passed": true,
552
+ "gate_2_passed": true,
553
+ "gate_3_passed": false,
554
+ "gate_4_passed": false,
555
+ "gate_5_passed": false,
556
+ "gate_6_passed": false,
557
+ "gate_7_passed": false,
558
+ "gate_8_passed": false,
559
+ "gate_9_passed": false,
560
+ "gate_10_passed": false,
561
+ "gate_11_passed": false,
562
+ "gate_12_passed": false,
563
+ "gate_13_passed": false,
564
+ "gate_14_passed": false,
565
+ "gate_15_passed": false,
566
+ "gate_16_passed": false,
567
+ "gate_17_passed": false,
568
+ "gate_18_passed": false,
569
+ "gate_19_passed": false,
570
+ "gate_20_passed": false,
571
+ "gate_21_passed": false,
572
+ "gate_22_passed": false,
573
+ "gate_23_passed": false,
574
+ "gate_24_passed": false,
575
+ "gate_25_passed": false,
576
+ "gate_26_passed": false,
577
+ "gate_27_passed": false,
578
+ "gate_28_passed": false,
579
+ "gate_29_passed": false,
580
+ "gate_30_passed": false,
581
+ "gate_31_passed": false,
582
+ "gate_32_passed": false,
583
+ "finish_crossed": false
584
+ },
585
+ "phenomena": [
586
+ {
587
+ "cat": "全身",
588
+ "item": "平衡",
589
+ "t": 13.1,
590
+ "log_step": 285,
591
+ "evidence_zh": "观察:视频12.8–13.48 s机器人在雪板滑行中快速转身,躯干逐渐偏离直立支承姿态,视频约13.1 s明显倾倒,视频13.4–13.48 s横倒在雪面附近;log step 285 的交付回放判 fell、骨盆高度0.34米,最终评分器 fell=1。"
592
+ }
593
+ ],
594
+ "root_causes": [
595
+ {
596
+ "cat": "控制",
597
+ "item": "反馈控制",
598
+ "source_zh": "日志",
599
+ "evidence_zh": "推断:log step 284展示交付生成器以航向误差和航向角速度反馈联动踝、髋、腰及膝关节转向;log step 287的同一控制器诊断代码及log step 292的测试输出显示,目标航向已限制在28.6度,控制步1260–1269仍以饱和转向命令推进,控制步1286–1295虽已反向饱和,实际航向仍从58.3度增长到83.5度。该诊断属于会话测试,用于解释控制器的过冲,未将其作为节点进度;结合视频12.8–13.48 s转身后倾倒及交付回放的fell,归因为转向反馈未抑制旋转并维持全身稳定。尚不能确定具体哪个增益或关节贡献主导。"
600
+ }
601
+ ],
602
+ "gap_zh": "没有逐帧状态日志;本次视频和成功参考视频均为固定远景,无法独立分清两板尖与双脚四点的精确越线和倒地时最先接触雪面的部位。前两门的细判据由已交付文件的官方回放事件及最终评分补充,视频时间以所看片段核对;根因还使用了同一生成器的会话诊断,缺少受力和姿态轨迹,不能进一步确定具体参数或接触力机制。"
603
+ },
604
+ "summary_zh": "机器人自行起滑后,在视频约11.2 s、12.4 s依次通过前两门,最终完成2/33个节点;交付回放与最终评分均确认仅通过2门并摔倒结束。向第3门滑行转向时,机器人在视频约13.1 s明显失衡,至视频13.4–13.48 s横倒,断点为通过第3门;同一生成器的航向过冲诊断支持转向反馈控制失稳。无逐帧状态日志,固定远景无法分辨四个受检点和精细接触,过门细节依靠已核对的裁判事件补充。",
605
+ "conf": 7,
606
+ "review": {
607
+ "status": "agreed",
608
+ "rounds": 2,
609
+ "reviewers": [
610
+ {
611
+ "engine": "claude",
612
+ "model": "claude-sonnet-5-5",
613
+ "round": 1,
614
+ "verdict": "fix",
615
+ "conf": 6,
616
+ "summary_zh": "节点进度(前两门达成、第3门起断点、13.1 s起倒地)与视频和裁判回放一致,无需改动;但根因“反馈控制”依赖会话内测试诊断,而交付物是已保存的开环轨迹文件,该归因缺少被认可的证据。",
617
+ "n_issues": 1,
618
+ "n_major": 1
619
+ },
620
+ {
621
+ "engine": "claude",
622
+ "model": "claude-sonnet-5-5",
623
+ "round": 2,
624
+ "verdict": "agree",
625
+ "conf": 7,
626
+ "summary_zh": "前两门达成、第3门起为断点、13.1 s起倒地与视频和裁判回放(metric_gates=2、fell=1)一致;上一轮关于反馈控制根因的意见已被标签方以03规则有据驳回,无新证据,不再重复。",
627
+ "n_issues": 0,
628
+ "n_major": 0
629
+ }
630
+ ],
631
+ "open_zh": []
632
+ },
633
+ "provenance": {
634
+ "prompt": "prompts/03_trajectory.md",
635
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
636
+ "engine": "codex",
637
+ "model": "gpt-6.1-sol",
638
+ "effort": "high",
639
+ "created": "2026-10-31T00:47:59Z",
640
+ "review_prompt": "prompts/04_trajectory_review.md",
641
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
642
+ "reconcile_prompt": "prompts/05_reconcile.md",
643
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
644
+ "calls": [
645
+ {
646
+ "stage": "traj",
647
+ "round": 0,
648
+ "ok": true,
649
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--rspvxxi/03_label"
650
+ },
651
+ {
652
+ "stage": "traj_review",
653
+ "round": 1,
654
+ "ok": true,
655
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--rspvxxi/04_review_r1"
656
+ },
657
+ {
658
+ "stage": "reconcile",
659
+ "round": 1,
660
+ "ok": true,
661
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--rspvxxi/05_reconcile_r1"
662
+ },
663
+ {
664
+ "stage": "traj_review",
665
+ "round": 2,
666
+ "ok": true,
667
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--rspvxxi/04_review_r2"
668
+ }
669
+ ],
670
+ "review_engine": "claude",
671
+ "review_model": "claude-sonnet-5-5",
672
+ "inputs": {
673
+ "run_json_sha256": "c2e9fcdf5deb74639413fe27bde609033ba07ce5957198e059a704cb6c191c7d",
674
+ "video_sha256": "0fb53d4fd2a1d115a7f96c97e84b43081b411893ad94a4ed178b2773d80a1307",
675
+ "states_sha256": null,
676
+ "video_choice": "HF replay.mp4"
677
+ }
678
+ }
679
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-privileged--xrggpyx.json ADDED
@@ -0,0 +1,615 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "efe-trajectory-labels/1",
3
+ "taxonomy": "v2",
4
+ "runId": "embodied-olympics-fun-alpine-slalom-i00-privileged--xrggpyx",
5
+ "taskKey": "embodied-olympics-fun/alpine_slalom",
6
+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
7
+ "outcome": {
8
+ "success": 0,
9
+ "reward": 0.0294,
10
+ "source": "catalog",
11
+ "raw": {
12
+ "success": 0,
13
+ "replay_success": 0,
14
+ "deterministic": 1,
15
+ "n_actions": 730,
16
+ "sim_steps": 730,
17
+ "horizon": 9000,
18
+ "episode_over": 1,
19
+ "progress": 0.0294,
20
+ "stages_reached": 1,
21
+ "stages_total": 34,
22
+ "fell": 1,
23
+ "replay_s": 10.09,
24
+ "bad_trajectory": 0,
25
+ "metric_gates": 0.0,
26
+ "metric_speed_m_s": 4.882,
27
+ "grader_error": 0,
28
+ "video_rendered": 1,
29
+ "agent_sessions": 149,
30
+ "agent_resets": 0,
31
+ "agent_replays": 5,
32
+ "agent_cost_self_reported": 1,
33
+ "resource_enforced": 0,
34
+ "limits_violation_observed": 0,
35
+ "resource_monitor_missing": 0,
36
+ "peak_gpu_memory_gb": 0.0,
37
+ "peak_memory_gb": 0.915,
38
+ "peak_processes": 9,
39
+ "peak_disk_gb": 0.241,
40
+ "resource_emergency_kills": 0,
41
+ "resource_oom_kills": 0,
42
+ "resource_host_oom_kills": 0,
43
+ "resource_service_oom_kills": 0,
44
+ "session_log_tampered": 0,
45
+ "session_log_from_monitor": 0
46
+ }
47
+ },
48
+ "video": {
49
+ "kind": "hf",
50
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--xrggpyx/replay.mp4",
51
+ "duration_s": 7.32,
52
+ "fps": 25.0,
53
+ "frames": 183,
54
+ "sha256": "98a42422723b6dfbf2e879bd01c01689598612ac221d5fc460fb195268f570a0"
55
+ },
56
+ "state": null,
57
+ "progress": {
58
+ "method": "visual",
59
+ "denominator": 33,
60
+ "base": 0,
61
+ "peak": 0,
62
+ "final": 0,
63
+ "nodes": {
64
+ "gate_1_passed": {
65
+ "method": "visual",
66
+ "intervals": [],
67
+ "final": false,
68
+ "evidence": [
69
+ {
70
+ "t": 6.4,
71
+ "log_step": null,
72
+ "text_zh": "观察:视频 0.0–6.4 s,机器人以双脚所连雪板支承在雪面上,从黑色起点拱架旁逐步向下坡移动;视频 6.4 s 仍在起点附近,未见双脚及两板尖通过第1道红色旗门。"
73
+ },
74
+ {
75
+ "t": 7.28,
76
+ "log_step": 125,
77
+ "text_zh": "观察:视频 7.04–7.28 s,机器人躯干倾倒并降至接近雪面,未恢复站姿;log step 125 对最终730行交付文件的两次独立回放均报告 stages=[start]、gates=0、failed=fell,终态哈希相同;inputs/run.json 的评分字段 metric_gates=0、fell=1、deterministic=1 与画面相符,故首门未通过。"
78
+ }
79
+ ],
80
+ "contact_actual": [
81
+ {
82
+ "who": "腿/躯干",
83
+ "how": "支撑",
84
+ "note_zh": "观察:视频 0.0–6.8 s,机器人双脚各经固定雪板支承于雪面,腿部交替迈动并随雪板向下坡移动,尝试由起点进入首门路线;视频 7.04–7.28 s 躯干倾倒。远景不足以确定摔倒瞬间除雪板外的具体触雪部位。"
85
+ }
86
+ ]
87
+ },
88
+ "gate_2_passed": {
89
+ "method": "visual",
90
+ "intervals": [],
91
+ "final": false,
92
+ "evidence": [
93
+ {
94
+ "t": 7.28,
95
+ "log_step": 125,
96
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第2门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
97
+ }
98
+ ]
99
+ },
100
+ "gate_3_passed": {
101
+ "method": "visual",
102
+ "intervals": [],
103
+ "final": false,
104
+ "evidence": [
105
+ {
106
+ "t": 7.28,
107
+ "log_step": 125,
108
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第3门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
109
+ }
110
+ ]
111
+ },
112
+ "gate_4_passed": {
113
+ "method": "visual",
114
+ "intervals": [],
115
+ "final": false,
116
+ "evidence": [
117
+ {
118
+ "t": 7.28,
119
+ "log_step": 125,
120
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第4门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
121
+ }
122
+ ]
123
+ },
124
+ "gate_5_passed": {
125
+ "method": "visual",
126
+ "intervals": [],
127
+ "final": false,
128
+ "evidence": [
129
+ {
130
+ "t": 7.28,
131
+ "log_step": 125,
132
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第5门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
133
+ }
134
+ ]
135
+ },
136
+ "gate_6_passed": {
137
+ "method": "visual",
138
+ "intervals": [],
139
+ "final": false,
140
+ "evidence": [
141
+ {
142
+ "t": 7.28,
143
+ "log_step": 125,
144
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第6门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
145
+ }
146
+ ]
147
+ },
148
+ "gate_7_passed": {
149
+ "method": "visual",
150
+ "intervals": [],
151
+ "final": false,
152
+ "evidence": [
153
+ {
154
+ "t": 7.28,
155
+ "log_step": 125,
156
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第7门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
157
+ }
158
+ ]
159
+ },
160
+ "gate_8_passed": {
161
+ "method": "visual",
162
+ "intervals": [],
163
+ "final": false,
164
+ "evidence": [
165
+ {
166
+ "t": 7.28,
167
+ "log_step": 125,
168
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第8门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
169
+ }
170
+ ]
171
+ },
172
+ "gate_9_passed": {
173
+ "method": "visual",
174
+ "intervals": [],
175
+ "final": false,
176
+ "evidence": [
177
+ {
178
+ "t": 7.28,
179
+ "log_step": 125,
180
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第9门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
181
+ }
182
+ ]
183
+ },
184
+ "gate_10_passed": {
185
+ "method": "visual",
186
+ "intervals": [],
187
+ "final": false,
188
+ "evidence": [
189
+ {
190
+ "t": 7.28,
191
+ "log_step": 125,
192
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第10门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
193
+ }
194
+ ]
195
+ },
196
+ "gate_11_passed": {
197
+ "method": "visual",
198
+ "intervals": [],
199
+ "final": false,
200
+ "evidence": [
201
+ {
202
+ "t": 7.28,
203
+ "log_step": 125,
204
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第11门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
205
+ }
206
+ ]
207
+ },
208
+ "gate_12_passed": {
209
+ "method": "visual",
210
+ "intervals": [],
211
+ "final": false,
212
+ "evidence": [
213
+ {
214
+ "t": 7.28,
215
+ "log_step": 125,
216
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第12门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
217
+ }
218
+ ]
219
+ },
220
+ "gate_13_passed": {
221
+ "method": "visual",
222
+ "intervals": [],
223
+ "final": false,
224
+ "evidence": [
225
+ {
226
+ "t": 7.28,
227
+ "log_step": 125,
228
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第13门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
229
+ }
230
+ ]
231
+ },
232
+ "gate_14_passed": {
233
+ "method": "visual",
234
+ "intervals": [],
235
+ "final": false,
236
+ "evidence": [
237
+ {
238
+ "t": 7.28,
239
+ "log_step": 125,
240
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第14门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
241
+ }
242
+ ]
243
+ },
244
+ "gate_15_passed": {
245
+ "method": "visual",
246
+ "intervals": [],
247
+ "final": false,
248
+ "evidence": [
249
+ {
250
+ "t": 7.28,
251
+ "log_step": 125,
252
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第15门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
253
+ }
254
+ ]
255
+ },
256
+ "gate_16_passed": {
257
+ "method": "visual",
258
+ "intervals": [],
259
+ "final": false,
260
+ "evidence": [
261
+ {
262
+ "t": 7.28,
263
+ "log_step": 125,
264
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第16门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
265
+ }
266
+ ]
267
+ },
268
+ "gate_17_passed": {
269
+ "method": "visual",
270
+ "intervals": [],
271
+ "final": false,
272
+ "evidence": [
273
+ {
274
+ "t": 7.28,
275
+ "log_step": 125,
276
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第17门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
277
+ }
278
+ ]
279
+ },
280
+ "gate_18_passed": {
281
+ "method": "visual",
282
+ "intervals": [],
283
+ "final": false,
284
+ "evidence": [
285
+ {
286
+ "t": 7.28,
287
+ "log_step": 125,
288
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第18门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
289
+ }
290
+ ]
291
+ },
292
+ "gate_19_passed": {
293
+ "method": "visual",
294
+ "intervals": [],
295
+ "final": false,
296
+ "evidence": [
297
+ {
298
+ "t": 7.28,
299
+ "log_step": 125,
300
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第19门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
301
+ }
302
+ ]
303
+ },
304
+ "gate_20_passed": {
305
+ "method": "visual",
306
+ "intervals": [],
307
+ "final": false,
308
+ "evidence": [
309
+ {
310
+ "t": 7.28,
311
+ "log_step": 125,
312
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第20门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
313
+ }
314
+ ]
315
+ },
316
+ "gate_21_passed": {
317
+ "method": "visual",
318
+ "intervals": [],
319
+ "final": false,
320
+ "evidence": [
321
+ {
322
+ "t": 7.28,
323
+ "log_step": 125,
324
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第21门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
325
+ }
326
+ ]
327
+ },
328
+ "gate_22_passed": {
329
+ "method": "visual",
330
+ "intervals": [],
331
+ "final": false,
332
+ "evidence": [
333
+ {
334
+ "t": 7.28,
335
+ "log_step": 125,
336
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第22门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
337
+ }
338
+ ]
339
+ },
340
+ "gate_23_passed": {
341
+ "method": "visual",
342
+ "intervals": [],
343
+ "final": false,
344
+ "evidence": [
345
+ {
346
+ "t": 7.28,
347
+ "log_step": 125,
348
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第23门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
349
+ }
350
+ ]
351
+ },
352
+ "gate_24_passed": {
353
+ "method": "visual",
354
+ "intervals": [],
355
+ "final": false,
356
+ "evidence": [
357
+ {
358
+ "t": 7.28,
359
+ "log_step": 125,
360
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第24门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
361
+ }
362
+ ]
363
+ },
364
+ "gate_25_passed": {
365
+ "method": "visual",
366
+ "intervals": [],
367
+ "final": false,
368
+ "evidence": [
369
+ {
370
+ "t": 7.28,
371
+ "log_step": 125,
372
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第25门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
373
+ }
374
+ ]
375
+ },
376
+ "gate_26_passed": {
377
+ "method": "visual",
378
+ "intervals": [],
379
+ "final": false,
380
+ "evidence": [
381
+ {
382
+ "t": 7.28,
383
+ "log_step": 125,
384
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第26门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
385
+ }
386
+ ]
387
+ },
388
+ "gate_27_passed": {
389
+ "method": "visual",
390
+ "intervals": [],
391
+ "final": false,
392
+ "evidence": [
393
+ {
394
+ "t": 7.28,
395
+ "log_step": 125,
396
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第27门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
397
+ }
398
+ ]
399
+ },
400
+ "gate_28_passed": {
401
+ "method": "visual",
402
+ "intervals": [],
403
+ "final": false,
404
+ "evidence": [
405
+ {
406
+ "t": 7.28,
407
+ "log_step": 125,
408
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第28门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
409
+ }
410
+ ]
411
+ },
412
+ "gate_29_passed": {
413
+ "method": "visual",
414
+ "intervals": [],
415
+ "final": false,
416
+ "evidence": [
417
+ {
418
+ "t": 7.28,
419
+ "log_step": 125,
420
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第29门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
421
+ }
422
+ ]
423
+ },
424
+ "gate_30_passed": {
425
+ "method": "visual",
426
+ "intervals": [],
427
+ "final": false,
428
+ "evidence": [
429
+ {
430
+ "t": 7.28,
431
+ "log_step": 125,
432
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第30门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
433
+ }
434
+ ]
435
+ },
436
+ "gate_31_passed": {
437
+ "method": "visual",
438
+ "intervals": [],
439
+ "final": false,
440
+ "evidence": [
441
+ {
442
+ "t": 7.28,
443
+ "log_step": 125,
444
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第31门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
445
+ }
446
+ ]
447
+ },
448
+ "gate_32_passed": {
449
+ "method": "visual",
450
+ "intervals": [],
451
+ "final": false,
452
+ "evidence": [
453
+ {
454
+ "t": 7.28,
455
+ "log_step": 125,
456
+ "text_zh": "推断:视频 0.0–7.28 s 机器人只从起点滑出后倾倒;log step 125 的最终交付文件回放明确报告 stages=[start]、gates=0,且评分字段 metric_gates=0。按旗门依次锁存及前置门依赖,第32门从未通过;此结论来自明确过门计数与受评画面,而非仅由失败分数推定。"
457
+ }
458
+ ]
459
+ },
460
+ "finish_crossed": {
461
+ "method": "visual",
462
+ "intervals": [],
463
+ "final": false,
464
+ "evidence": [
465
+ {
466
+ "t": 7.28,
467
+ "log_step": 125,
468
+ "text_zh": "推断:视频 7.28 s 机器人已在起点附近倾倒,未滑向终点;log step 125 的最终交付回放仅有 start 阶段、gates=0,评分字段 stages_reached=1/34、metric_gates=0。终点所需32道门前置均未达成,因此越过终点节点从未成立。"
469
+ }
470
+ ]
471
+ }
472
+ },
473
+ "constraints": {}
474
+ },
475
+ "native_metrics": [
476
+ {
477
+ "name": "gates",
478
+ "value": 0.0,
479
+ "unit": "count",
480
+ "threshold": 32,
481
+ "direction": "higher_better"
482
+ },
483
+ {
484
+ "name": "speed_m_s",
485
+ "value": 4.882,
486
+ "unit": "m/s",
487
+ "threshold": 0.1,
488
+ "direction": "higher_better"
489
+ },
490
+ {
491
+ "name": "time_s",
492
+ "value": null,
493
+ "unit": "s",
494
+ "threshold": null,
495
+ "direction": "lower_better"
496
+ }
497
+ ],
498
+ "failure": {
499
+ "breakpoint": {
500
+ "ref": "gate_1_passed",
501
+ "t": 7.04,
502
+ "log_step": 125,
503
+ "where": "操作中",
504
+ "evidence_zh": "观察:机器人在视频 6.4–6.8 s 刚滑离起点拱架,视频 7.04–7.28 s 躯干明显倾倒、降至接近雪面,首门仍未通过,录像随即结束。log step 125 对最终交付轨迹的回放只记录 start 阶段并以 fell 结束,评分字段 gates=0、fell=1;该次起滑及向首门滑行是首门节点的工作,未在后续修复。"
505
+ },
506
+ "unmet": {
507
+ "gate_1_passed": false,
508
+ "gate_2_passed": false,
509
+ "gate_3_passed": false,
510
+ "gate_4_passed": false,
511
+ "gate_5_passed": false,
512
+ "gate_6_passed": false,
513
+ "gate_7_passed": false,
514
+ "gate_8_passed": false,
515
+ "gate_9_passed": false,
516
+ "gate_10_passed": false,
517
+ "gate_11_passed": false,
518
+ "gate_12_passed": false,
519
+ "gate_13_passed": false,
520
+ "gate_14_passed": false,
521
+ "gate_15_passed": false,
522
+ "gate_16_passed": false,
523
+ "gate_17_passed": false,
524
+ "gate_18_passed": false,
525
+ "gate_19_passed": false,
526
+ "gate_20_passed": false,
527
+ "gate_21_passed": false,
528
+ "gate_22_passed": false,
529
+ "gate_23_passed": false,
530
+ "gate_24_passed": false,
531
+ "gate_25_passed": false,
532
+ "gate_26_passed": false,
533
+ "gate_27_passed": false,
534
+ "gate_28_passed": false,
535
+ "gate_29_passed": false,
536
+ "gate_30_passed": false,
537
+ "gate_31_passed": false,
538
+ "gate_32_passed": false,
539
+ "finish_crossed": false
540
+ },
541
+ "phenomena": [
542
+ {
543
+ "cat": "全身",
544
+ "item": "平衡",
545
+ "t": 7.04,
546
+ "log_step": 125,
547
+ "evidence_zh": "观察:视频 6.8 s 机器人尚有直立躯干,视频 7.04–7.28 s 躯干迅速倾斜并接近横卧,未恢复支撑姿态;log step 125 的最终交付回放裁判事件为仿真 7.3 s failed=fell、pelvis_height_m=0.343,评分字段 fell=1。视频锚点取自所检查画面,未由 agent 工作时间换算。"
548
+ }
549
+ ],
550
+ "root_causes": [
551
+ {
552
+ "cat": "控制",
553
+ "item": "控制",
554
+ "source_zh": "日志 / 视频",
555
+ "log_step": 125,
556
+ "t": 7.04,
557
+ "evidence_zh": "推断:log step 118、123、124 的最终生成脚本先用 walk 指令起滑,在骨盆 x>0 后切换关节PD控制,通过髋横滚、髋偏航反馈及渐变屈膝姿态维持滑行;log step 125 和 140 对该文件的重复生成与独立回放均复现730行、fell、相同终态哈希。结合视频 6.8–7.28 s 从滑行到倾倒,说明所交付控制未能在起点进入坡面的过程中维持姿态稳定;证据支持控制层面失败,尚不能单独锁定某项增益或接触设计。"
558
+ }
559
+ ],
560
+ "gap_zh": "本次无逐帧状态日志;已对照成功参考录像,但相同固定远景无法精确分辨板刃角、重心偏移及摔倒瞬间的触雪部位。节点未达成由本次明确的过门计数与终止画面共同确定;会话内其他初态、切换参数的调试结果未当作本次轨迹状态,关于具体失稳机制保留不确定性。"
561
+ },
562
+ "summary_zh": "机器人自行起滑并进入首门路线,但在视频 7.04–7.28 s、仍靠近起点时倾倒,32道旗门及终点共33个节点均未完成。最终交付730行轨迹的多次回放一致,仅有 start 阶段,评分器报告 gates=0、fell=1;现象为全身平衡丧失,控制未能维持入坡姿态。缺少逐帧状态日志,固定远景不足以进一步确定具体板刃接触、反馈增益或失稳机制。",
563
+ "conf": 8,
564
+ "review": {
565
+ "status": "agreed",
566
+ "rounds": 1,
567
+ "reviewers": [
568
+ {
569
+ "engine": "claude",
570
+ "model": "claude-sonnet-5-5",
571
+ "round": 1,
572
+ "verdict": "agree",
573
+ "conf": 7,
574
+ "summary_zh": "逐帧核对:机器人约视频3–4 s越过起点红线,6.4 s穿过拱架后下滑,7.04–7.28 s倾倒,首门远未到达;gates=0、fell=1,33个节点全未达成,断点gate_1、现象平衡、根因控制均有证据支持,未发现需改动之处。",
575
+ "n_issues": 0,
576
+ "n_major": 0
577
+ }
578
+ ],
579
+ "open_zh": []
580
+ },
581
+ "provenance": {
582
+ "prompt": "prompts/03_trajectory.md",
583
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
584
+ "engine": "codex",
585
+ "model": "gpt-6.1-sol",
586
+ "effort": "high",
587
+ "created": "2026-10-31T00:42:27Z",
588
+ "review_prompt": "prompts/04_trajectory_review.md",
589
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
590
+ "reconcile_prompt": "prompts/05_reconcile.md",
591
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
592
+ "calls": [
593
+ {
594
+ "stage": "traj",
595
+ "round": 0,
596
+ "ok": true,
597
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--xrggpyx/03_label"
598
+ },
599
+ {
600
+ "stage": "traj_review",
601
+ "round": 1,
602
+ "ok": true,
603
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-privileged--xrggpyx/04_review_r1"
604
+ }
605
+ ],
606
+ "review_engine": "claude",
607
+ "review_model": "claude-sonnet-5-5",
608
+ "inputs": {
609
+ "run_json_sha256": "ae5aee583ca8181f604dc5d502222163057ab1342f8530729c7603302e82d4bc",
610
+ "video_sha256": "98a42422723b6dfbf2e879bd01c01689598612ac221d5fc460fb195268f570a0",
611
+ "states_sha256": null,
612
+ "video_choice": "HF replay.mp4"
613
+ }
614
+ }
615
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--666le3z.json ADDED
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1
+ {
2
+ "schema": "efe-trajectory-labels/1",
3
+ "taxonomy": "v2",
4
+ "runId": "embodied-olympics-fun-alpine-slalom-i00-standard--666le3z",
5
+ "taskKey": "embodied-olympics-fun/alpine_slalom",
6
+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
7
+ "outcome": {
8
+ "success": 0,
9
+ "reward": 0.0,
10
+ "source": "catalog",
11
+ "raw": {
12
+ "success": 0,
13
+ "live_success": 0,
14
+ "graded_by_live": 1,
15
+ "replays": 0,
16
+ "live_rule": 1,
17
+ "live_verdict_error": 0,
18
+ "finalized": 1,
19
+ "missing_log": 0,
20
+ "infra_error": 0,
21
+ "grader_error": 0,
22
+ "sim_error": 0,
23
+ "sim_crashed_on_call": 0,
24
+ "instance_mismatch": 0,
25
+ "n_actions": 743,
26
+ "sim_steps": 2334,
27
+ "calls": 30,
28
+ "rows": 235,
29
+ "resets": 5,
30
+ "reset_budget": 5,
31
+ "sim_startups": 1,
32
+ "elapsed_s": 385.3,
33
+ "video_rendered": 1,
34
+ "first_success": 0,
35
+ "first_reason_code": 3,
36
+ "resource_enforced": 0,
37
+ "limits_violation_observed": 0,
38
+ "resource_monitor_missing": 0,
39
+ "peak_gpu_memory_gb": 0.0,
40
+ "peak_memory_gb": 0.315,
41
+ "peak_processes": 9,
42
+ "peak_disk_gb": 0.83,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-standard--666le3z/replay.mp4",
52
+ "duration_s": 7.44,
53
+ "fps": 25.0,
54
+ "frames": 186,
55
+ "sha256": "62f1d4e35a6875cc18c2ff8169b81dc68b8421e82f91406d0e6230da7014ab3e"
56
+ },
57
+ "state": null,
58
+ "progress": {
59
+ "method": "visual",
60
+ "denominator": 33,
61
+ "base": 0,
62
+ "peak": 0,
63
+ "final": 0,
64
+ "nodes": {
65
+ "gate_1_passed": {
66
+ "method": "visual",
67
+ "intervals": [],
68
+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 0.0,
72
+ "log_step": 47,
73
+ "text_zh": "观察:log step 47 的服务返回最后一次重置为 episode 6、resets_left=0;视频 0.0 s 从起点红线旁的双板站立初态开始,视频 0.4–6.8 s 机器人自行向下坡移动。此前重置回合不计入本次进度。"
74
+ },
75
+ {
76
+ "t": 7.4,
77
+ "log_step": 57,
78
+ "text_zh": "观察:视频 6.0–7.4 s 已逐帧检查,机器人仍在黑色起点拱架附近,尚未到达远处第1对旗杆;视频约 7.2–7.4 s 躯干降低并侧倒,未出现双脚及双板尖穿过第1旗门的过程。log step 57 的服务状态为 episode 6、control_steps=743、done=true、reason=failed;agent 自述仅达起点阶段1/34(log step 56、58),与视频一致,但不将自述当作过门证据。"
79
+ }
80
+ ],
81
+ "contact_actual": [
82
+ {
83
+ "who": "腿/躯干",
84
+ "how": "支撑",
85
+ "note_zh": "观察:视频 0.0–6.8 s 双脚固定的雪板与雪面接触并承重,机器人用腿和躯干起滑、向第1门方向移动;视频约 7.2–7.4 s 支撑失稳而侧倒。未见到达第1门或与旗杆接触。"
86
+ }
87
+ ]
88
+ },
89
+ "gate_2_passed": {
90
+ "method": "visual",
91
+ "intervals": [],
92
+ "final": false,
93
+ "evidence": [
94
+ {
95
+ "t": 7.4,
96
+ "log_step": 57,
97
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第2门也从未达到,且未开始针对该门的行进。"
98
+ }
99
+ ]
100
+ },
101
+ "gate_3_passed": {
102
+ "method": "visual",
103
+ "intervals": [],
104
+ "final": false,
105
+ "evidence": [
106
+ {
107
+ "t": 7.4,
108
+ "log_step": 57,
109
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第3门也从未达到,且未开始针对该门的行进。"
110
+ }
111
+ ]
112
+ },
113
+ "gate_4_passed": {
114
+ "method": "visual",
115
+ "intervals": [],
116
+ "final": false,
117
+ "evidence": [
118
+ {
119
+ "t": 7.4,
120
+ "log_step": 57,
121
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第4门也从未达到,且未开始针对该门的行进。"
122
+ }
123
+ ]
124
+ },
125
+ "gate_5_passed": {
126
+ "method": "visual",
127
+ "intervals": [],
128
+ "final": false,
129
+ "evidence": [
130
+ {
131
+ "t": 7.4,
132
+ "log_step": 57,
133
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第5门也从未达到,且未开始针对该门的行进。"
134
+ }
135
+ ]
136
+ },
137
+ "gate_6_passed": {
138
+ "method": "visual",
139
+ "intervals": [],
140
+ "final": false,
141
+ "evidence": [
142
+ {
143
+ "t": 7.4,
144
+ "log_step": 57,
145
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未���,依DAG门序,第6门也从未达到,且未开始针对该门的行进。"
146
+ }
147
+ ]
148
+ },
149
+ "gate_7_passed": {
150
+ "method": "visual",
151
+ "intervals": [],
152
+ "final": false,
153
+ "evidence": [
154
+ {
155
+ "t": 7.4,
156
+ "log_step": 57,
157
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第7门也从未达到,且未开始针对该门的行进。"
158
+ }
159
+ ]
160
+ },
161
+ "gate_8_passed": {
162
+ "method": "visual",
163
+ "intervals": [],
164
+ "final": false,
165
+ "evidence": [
166
+ {
167
+ "t": 7.4,
168
+ "log_step": 57,
169
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第8门也从未达到,且未开始针对该门的行进。"
170
+ }
171
+ ]
172
+ },
173
+ "gate_9_passed": {
174
+ "method": "visual",
175
+ "intervals": [],
176
+ "final": false,
177
+ "evidence": [
178
+ {
179
+ "t": 7.4,
180
+ "log_step": 57,
181
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第9门也从未达到,且未开始针对该门的行进。"
182
+ }
183
+ ]
184
+ },
185
+ "gate_10_passed": {
186
+ "method": "visual",
187
+ "intervals": [],
188
+ "final": false,
189
+ "evidence": [
190
+ {
191
+ "t": 7.4,
192
+ "log_step": 57,
193
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第10门也从未达到,且未开始针对该门的行进。"
194
+ }
195
+ ]
196
+ },
197
+ "gate_11_passed": {
198
+ "method": "visual",
199
+ "intervals": [],
200
+ "final": false,
201
+ "evidence": [
202
+ {
203
+ "t": 7.4,
204
+ "log_step": 57,
205
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第11门也从未达到,且未开始针对该门的行进。"
206
+ }
207
+ ]
208
+ },
209
+ "gate_12_passed": {
210
+ "method": "visual",
211
+ "intervals": [],
212
+ "final": false,
213
+ "evidence": [
214
+ {
215
+ "t": 7.4,
216
+ "log_step": 57,
217
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第12门也从未达到,且未开始针对该门的行进。"
218
+ }
219
+ ]
220
+ },
221
+ "gate_13_passed": {
222
+ "method": "visual",
223
+ "intervals": [],
224
+ "final": false,
225
+ "evidence": [
226
+ {
227
+ "t": 7.4,
228
+ "log_step": 57,
229
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第13门也从未达到,且未开始针对该门的行进。"
230
+ }
231
+ ]
232
+ },
233
+ "gate_14_passed": {
234
+ "method": "visual",
235
+ "intervals": [],
236
+ "final": false,
237
+ "evidence": [
238
+ {
239
+ "t": 7.4,
240
+ "log_step": 57,
241
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第14门也从未达到,且未开始针对该门的行进。"
242
+ }
243
+ ]
244
+ },
245
+ "gate_15_passed": {
246
+ "method": "visual",
247
+ "intervals": [],
248
+ "final": false,
249
+ "evidence": [
250
+ {
251
+ "t": 7.4,
252
+ "log_step": 57,
253
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第15门也从未达到,且未开始针对该门的行进。"
254
+ }
255
+ ]
256
+ },
257
+ "gate_16_passed": {
258
+ "method": "visual",
259
+ "intervals": [],
260
+ "final": false,
261
+ "evidence": [
262
+ {
263
+ "t": 7.4,
264
+ "log_step": 57,
265
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第16门也从未达到,且未开始针对该门的行进。"
266
+ }
267
+ ]
268
+ },
269
+ "gate_17_passed": {
270
+ "method": "visual",
271
+ "intervals": [],
272
+ "final": false,
273
+ "evidence": [
274
+ {
275
+ "t": 7.4,
276
+ "log_step": 57,
277
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第17门也从未达到,且未开始针对该门的行进。"
278
+ }
279
+ ]
280
+ },
281
+ "gate_18_passed": {
282
+ "method": "visual",
283
+ "intervals": [],
284
+ "final": false,
285
+ "evidence": [
286
+ {
287
+ "t": 7.4,
288
+ "log_step": 57,
289
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第18门也从未达到,且未开始针对该门的行进。"
290
+ }
291
+ ]
292
+ },
293
+ "gate_19_passed": {
294
+ "method": "visual",
295
+ "intervals": [],
296
+ "final": false,
297
+ "evidence": [
298
+ {
299
+ "t": 7.4,
300
+ "log_step": 57,
301
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第19门也从未达到,且未开始针对该门的行进。"
302
+ }
303
+ ]
304
+ },
305
+ "gate_20_passed": {
306
+ "method": "visual",
307
+ "intervals": [],
308
+ "final": false,
309
+ "evidence": [
310
+ {
311
+ "t": 7.4,
312
+ "log_step": 57,
313
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第20门也从未达到,且未开始针对该门的行进。"
314
+ }
315
+ ]
316
+ },
317
+ "gate_21_passed": {
318
+ "method": "visual",
319
+ "intervals": [],
320
+ "final": false,
321
+ "evidence": [
322
+ {
323
+ "t": 7.4,
324
+ "log_step": 57,
325
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第21门也从未达到,且未开始针对该门的行进。"
326
+ }
327
+ ]
328
+ },
329
+ "gate_22_passed": {
330
+ "method": "visual",
331
+ "intervals": [],
332
+ "final": false,
333
+ "evidence": [
334
+ {
335
+ "t": 7.4,
336
+ "log_step": 57,
337
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第22门也从未达到,且未开始针对该门的行进。"
338
+ }
339
+ ]
340
+ },
341
+ "gate_23_passed": {
342
+ "method": "visual",
343
+ "intervals": [],
344
+ "final": false,
345
+ "evidence": [
346
+ {
347
+ "t": 7.4,
348
+ "log_step": 57,
349
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第23门也从未达到,且未开始针对该门的行进。"
350
+ }
351
+ ]
352
+ },
353
+ "gate_24_passed": {
354
+ "method": "visual",
355
+ "intervals": [],
356
+ "final": false,
357
+ "evidence": [
358
+ {
359
+ "t": 7.4,
360
+ "log_step": 57,
361
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第24门也从未达到,且未开始针对该门的行进。"
362
+ }
363
+ ]
364
+ },
365
+ "gate_25_passed": {
366
+ "method": "visual",
367
+ "intervals": [],
368
+ "final": false,
369
+ "evidence": [
370
+ {
371
+ "t": 7.4,
372
+ "log_step": 57,
373
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第25门也从未达到,且未开始针对该门的行进。"
374
+ }
375
+ ]
376
+ },
377
+ "gate_26_passed": {
378
+ "method": "visual",
379
+ "intervals": [],
380
+ "final": false,
381
+ "evidence": [
382
+ {
383
+ "t": 7.4,
384
+ "log_step": 57,
385
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第26门也从未达到,且未开始针对该门的行进。"
386
+ }
387
+ ]
388
+ },
389
+ "gate_27_passed": {
390
+ "method": "visual",
391
+ "intervals": [],
392
+ "final": false,
393
+ "evidence": [
394
+ {
395
+ "t": 7.4,
396
+ "log_step": 57,
397
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第27门也从未达到,且未开始针对该门的行进。"
398
+ }
399
+ ]
400
+ },
401
+ "gate_28_passed": {
402
+ "method": "visual",
403
+ "intervals": [],
404
+ "final": false,
405
+ "evidence": [
406
+ {
407
+ "t": 7.4,
408
+ "log_step": 57,
409
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第28门也从未达到,且未开始针对该门的行进。"
410
+ }
411
+ ]
412
+ },
413
+ "gate_29_passed": {
414
+ "method": "visual",
415
+ "intervals": [],
416
+ "final": false,
417
+ "evidence": [
418
+ {
419
+ "t": 7.4,
420
+ "log_step": 57,
421
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第29门也从未达到,且未开始针对该门的行进��"
422
+ }
423
+ ]
424
+ },
425
+ "gate_30_passed": {
426
+ "method": "visual",
427
+ "intervals": [],
428
+ "final": false,
429
+ "evidence": [
430
+ {
431
+ "t": 7.4,
432
+ "log_step": 57,
433
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第30门也从未达到,且未开始针对该门的行进。"
434
+ }
435
+ ]
436
+ },
437
+ "gate_31_passed": {
438
+ "method": "visual",
439
+ "intervals": [],
440
+ "final": false,
441
+ "evidence": [
442
+ {
443
+ "t": 7.4,
444
+ "log_step": 57,
445
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第31门也从未达到,且未开始针对该门的行进。"
446
+ }
447
+ ]
448
+ },
449
+ "gate_32_passed": {
450
+ "method": "visual",
451
+ "intervals": [],
452
+ "final": false,
453
+ "evidence": [
454
+ {
455
+ "t": 7.4,
456
+ "log_step": 57,
457
+ "text_zh": "推断:视频 0.0–7.4 s 机器人只从起点附近起滑,尚未到达第1旗门便侧倒,log step 57 服务确认第6回合失败结束;第1门未达,依DAG门序,第32门也从未达到,且未开始针对该门的行进。"
458
+ }
459
+ ]
460
+ },
461
+ "finish_crossed": {
462
+ "method": "visual",
463
+ "intervals": [],
464
+ "final": false,
465
+ "evidence": [
466
+ {
467
+ "t": 7.4,
468
+ "log_step": 57,
469
+ "text_zh": "推断:视频 0.0–7.4 s 的受评回合只移动至起点拱架附近,末段侧倒,连第1道旗门也未到达;因此未满足先依次通过32门再越过终点的条件。log step 57 服务确认该第6回合已经失败结束。"
470
+ }
471
+ ]
472
+ }
473
+ },
474
+ "constraints": {}
475
+ },
476
+ "native_metrics": [
477
+ {
478
+ "name": "gates",
479
+ "unit": "count",
480
+ "threshold": 32,
481
+ "direction": "higher_better",
482
+ "value": null
483
+ },
484
+ {
485
+ "name": "speed_m_s",
486
+ "unit": "m/s",
487
+ "threshold": 0.1,
488
+ "direction": "higher_better",
489
+ "value": null
490
+ },
491
+ {
492
+ "name": "time_s",
493
+ "unit": "s",
494
+ "threshold": null,
495
+ "direction": "lower_better",
496
+ "value": null
497
+ }
498
+ ],
499
+ "failure": {
500
+ "breakpoint": {
501
+ "ref": "gate_1_passed",
502
+ "t": 7.2,
503
+ "log_step": 55,
504
+ "where": "操作中",
505
+ "evidence_zh": "观察:视频 6.0–6.8 s 机器人在起点拱架附近继续向下坡移动,视频约 7.2–7.4 s 躯干降至接近雪面、双板向前伸出并侧倒,尚未到达第1道旗门,后续没有恢复。log step 52、55 的脚本正在以 walk 模式发送前进及向左横移指令;log step 57 服务确认第6回合失败结束。因此失败发生在通过第1门的行进途中。"
506
+ },
507
+ "phenomena": [
508
+ {
509
+ "cat": "全身",
510
+ "item": "平衡",
511
+ "t": 7.2,
512
+ "log_step": 55,
513
+ "evidence_zh": "观察:视频 6.4–6.8 s 机器人仍以双板支撑身体;视频约 7.12–7.4 s 身体从起点拱架立柱旁显露时已明显侧倾,随后躯干贴近雪面、双板伸出,直到末帧都未恢复站立。log step 57 的服务结果为 done=true、reason=failed;agent 自述该回合摔倒(log step 56、58),与所见失衡一致。"
514
+ }
515
+ ],
516
+ "root_causes": [
517
+ {
518
+ "cat": "控制",
519
+ "item": "控制",
520
+ "evidence_zh": "推断:log step 47、48 的脚本先发送 walk 直行指令(vx=0.75,vy=0,wz=0),log step 52、55 改为保留前进并加入向左横移(vy=0.1,wz=0);视频 6.0–6.8 s 尚有双板支撑,视频约 7.2–7.4 s 在继续滑行中侧倒。目标仍是向第1门行进,执行这些运动指令时未能维持身体支撑,故归为控制;没有足够证据细分为参数调试、反馈控制或接触设计。",
521
+ "source_zh": "日志 / 视频"
522
+ }
523
+ ],
524
+ "gap_zh": "没有状态日志。固定远景分辨率低,视频约 6.9–7.2 s 机器人被起点拱架立柱局部遮挡,无法精确判定最先失去支撑或触雪的部位;本次最终横移动作的详细传感器与裁判返回在 log step 52、53、55 的 out 中为空,无法进一步确定控制失稳的机制。原生 gates、speed_m_s、比赛净用时 time_s 未由评分器字段报告,均留 null;不把全回合控制步数换成比赛净用时。",
525
+ "unmet": {
526
+ "gate_1_passed": false,
527
+ "gate_2_passed": false,
528
+ "gate_3_passed": false,
529
+ "gate_4_passed": false,
530
+ "gate_5_passed": false,
531
+ "gate_6_passed": false,
532
+ "gate_7_passed": false,
533
+ "gate_8_passed": false,
534
+ "gate_9_passed": false,
535
+ "gate_10_passed": false,
536
+ "gate_11_passed": false,
537
+ "gate_12_passed": false,
538
+ "gate_13_passed": false,
539
+ "gate_14_passed": false,
540
+ "gate_15_passed": false,
541
+ "gate_16_passed": false,
542
+ "gate_17_passed": false,
543
+ "gate_18_passed": false,
544
+ "gate_19_passed": false,
545
+ "gate_20_passed": false,
546
+ "gate_21_passed": false,
547
+ "gate_22_passed": false,
548
+ "gate_23_passed": false,
549
+ "gate_24_passed": false,
550
+ "gate_25_passed": false,
551
+ "gate_26_passed": false,
552
+ "gate_27_passed": false,
553
+ "gate_28_passed": false,
554
+ "gate_29_passed": false,
555
+ "gate_30_passed": false,
556
+ "gate_31_passed": false,
557
+ "gate_32_passed": false,
558
+ "finish_crossed": false
559
+ }
560
+ },
561
+ "summary_zh": "受评的是最后一次重置后的第6回合:机器人已自行起滑,但视频全程仍在起点附近,未到达第1旗门,最终0/33个节点完成。视频约 7.2–7.4 s 机器人在向第1门行进时侧倒,断点为通过第1门,现象为全身平衡失败;结合 log step 47、48、52、55 的直行与横移指令,根因归为控制。没有状态日志,末段局部被起点拱架遮挡,不能进一步确定失稳的具体接触或控制机制。",
562
+ "conf": 8,
563
+ "review": {
564
+ "status": "agreed",
565
+ "rounds": 1,
566
+ "reviewers": [
567
+ {
568
+ "engine": "claude",
569
+ "model": "claude-sonnet-5-5",
570
+ "round": 1,
571
+ "verdict": "agree",
572
+ "conf": 6,
573
+ "summary_zh": "0/33 节点未达、断点为 gate_1_passed(起点附近侧倒)、平衡现象与控制根因均与视频和服务读数(done=true, reason=failed, control_steps=743)一致;未发现需要改动的错误。",
574
+ "n_issues": 0,
575
+ "n_major": 0
576
+ }
577
+ ],
578
+ "open_zh": []
579
+ },
580
+ "provenance": {
581
+ "prompt": "prompts/03_trajectory.md",
582
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+ "evidence": [
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+ {
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+ "t": 0.0,
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+ "text_zh": "观察:视频 0.00 s 机器人双脚固定在雪板上,位于黑色起点拱架旁的红线前;视频全程反复俯身、伸臂、起身,直到视频 19.80–20.88 s 才在拱架下坡侧短距离滑行并侧倒,始终未到达远处第1道红色旗门。"
74
+ },
75
+ {
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+ "t": 20.88,
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+ "log_step": 83,
78
+ "text_zh": "观察:log step 83 启动 episode 6,机器人服务返回的终局字段由脚本打印为 DONE fell 1;log step 84 确认同一 episode 6 已结束,control_steps=2089。视频 20.88 s 机器人仍倒在起点附近,与该终局一致;原生起点阶段不单列为DAG节点。"
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+ }
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+ ],
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+ {
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+ "who": "腿/躯干",
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+ "how": "支撑",
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86
+ },
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+ {
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+ "who": "双臂协作",
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+ "how": "压/擦",
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+ "note_zh": "观察:视频 2.12、2.60、3.44、4.24、6.96、11.80、17.20 s 的放大画面中,机器人俯身将两臂末端拳垫压到雪面并反复前后摆动,配合雪板起滑;推断:结合 log step 81 的落拳、后划、抬拳循环及 log step 83 的执行记录,这是双拳触雪推进,未形成抓握。"
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+ }
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+ ]
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+ },
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ {
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+ "t": 20.88,
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+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第2道旗门所需的前序节点 gate_1_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
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+ }
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+ "gate_3_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ {
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+ "t": 20.88,
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+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第3道旗门所需的前序节点 gate_2_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
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+ }
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+ ]
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+ },
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+ "gate_4_passed": {
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+ "method": "visual",
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+ "intervals": [],
121
+ "final": false,
122
+ "evidence": [
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+ {
124
+ "t": 20.88,
125
+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第4道旗门所需的前序节点 gate_3_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
127
+ }
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+ "method": "visual",
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+ "intervals": [],
133
+ "final": false,
134
+ "evidence": [
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+ {
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+ "t": 20.88,
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+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第5道旗门所需的前序节点 gate_4_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ {
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+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第6道旗门所需的前序节点 gate_5_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
151
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
158
+ "evidence": [
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+ {
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+ "t": 20.88,
161
+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第7道旗门所需的前序节点 gate_6_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
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+ }
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+ "gate_8_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
170
+ "evidence": [
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+ {
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+ "t": 20.88,
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+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第8道旗门所需的前序节点 gate_7_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
175
+ }
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+ "gate_9_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
182
+ "evidence": [
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+ {
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+ "t": 20.88,
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+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第9道旗门所需的前序节点 gate_8_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
187
+ }
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+ ]
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+ },
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+ "gate_10_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
194
+ "evidence": [
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+ {
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+ "t": 20.88,
197
+ "log_step": 83,
198
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第10道旗门所需的前序节点 gate_9_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
199
+ }
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+ ]
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+ "gate_11_passed": {
203
+ "method": "visual",
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+ "intervals": [],
205
+ "final": false,
206
+ "evidence": [
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+ {
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+ "t": 20.88,
209
+ "log_step": 83,
210
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第11道旗门所需的前序节点 gate_10_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
211
+ }
212
+ ]
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+ "gate_12_passed": {
215
+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
218
+ "evidence": [
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+ {
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+ "t": 20.88,
221
+ "log_step": 83,
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+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第12道旗门所需的前序节点 gate_11_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
223
+ }
224
+ ]
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+ },
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+ "gate_13_passed": {
227
+ "method": "visual",
228
+ "intervals": [],
229
+ "final": false,
230
+ "evidence": [
231
+ {
232
+ "t": 20.88,
233
+ "log_step": 83,
234
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第13道旗门所需的前序节点 gate_12_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
235
+ }
236
+ ]
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+ },
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+ "gate_14_passed": {
239
+ "method": "visual",
240
+ "intervals": [],
241
+ "final": false,
242
+ "evidence": [
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+ {
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+ "t": 20.88,
245
+ "log_step": 83,
246
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第14道旗门所需的前序节点 gate_13_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
247
+ }
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+ ]
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+ },
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+ "gate_15_passed": {
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+ "method": "visual",
252
+ "intervals": [],
253
+ "final": false,
254
+ "evidence": [
255
+ {
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+ "t": 20.88,
257
+ "log_step": 83,
258
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达��1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第15道旗门所需的前序节点 gate_14_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
259
+ }
260
+ ]
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+ },
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+ "gate_16_passed": {
263
+ "method": "visual",
264
+ "intervals": [],
265
+ "final": false,
266
+ "evidence": [
267
+ {
268
+ "t": 20.88,
269
+ "log_step": 83,
270
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第16道旗门所需的前序节点 gate_15_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
271
+ }
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+ ]
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+ },
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+ "gate_17_passed": {
275
+ "method": "visual",
276
+ "intervals": [],
277
+ "final": false,
278
+ "evidence": [
279
+ {
280
+ "t": 20.88,
281
+ "log_step": 83,
282
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第17道旗门所需的前序节点 gate_16_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
283
+ }
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+ ]
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+ },
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+ "gate_18_passed": {
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+ "method": "visual",
288
+ "intervals": [],
289
+ "final": false,
290
+ "evidence": [
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+ {
292
+ "t": 20.88,
293
+ "log_step": 83,
294
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第18道旗门所需的前序节点 gate_17_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
295
+ }
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+ ]
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+ },
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+ "gate_19_passed": {
299
+ "method": "visual",
300
+ "intervals": [],
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+ "final": false,
302
+ "evidence": [
303
+ {
304
+ "t": 20.88,
305
+ "log_step": 83,
306
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第19道旗门所需的前序节点 gate_18_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
307
+ }
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+ ]
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+ },
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+ "gate_20_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ {
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+ "log_step": 83,
318
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第20道旗门所需的前序节点 gate_19_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
319
+ }
320
+ ]
321
+ },
322
+ "gate_21_passed": {
323
+ "method": "visual",
324
+ "intervals": [],
325
+ "final": false,
326
+ "evidence": [
327
+ {
328
+ "t": 20.88,
329
+ "log_step": 83,
330
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第21道旗门所需的前序节点 gate_20_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
331
+ }
332
+ ]
333
+ },
334
+ "gate_22_passed": {
335
+ "method": "visual",
336
+ "intervals": [],
337
+ "final": false,
338
+ "evidence": [
339
+ {
340
+ "t": 20.88,
341
+ "log_step": 83,
342
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第22道旗门所需的前序节点 gate_21_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
343
+ }
344
+ ]
345
+ },
346
+ "gate_23_passed": {
347
+ "method": "visual",
348
+ "intervals": [],
349
+ "final": false,
350
+ "evidence": [
351
+ {
352
+ "t": 20.88,
353
+ "log_step": 83,
354
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第23道旗门所需的前序节点 gate_22_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
355
+ }
356
+ ]
357
+ },
358
+ "gate_24_passed": {
359
+ "method": "visual",
360
+ "intervals": [],
361
+ "final": false,
362
+ "evidence": [
363
+ {
364
+ "t": 20.88,
365
+ "log_step": 83,
366
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第24道旗门所需的前序节点 gate_23_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
367
+ }
368
+ ]
369
+ },
370
+ "gate_25_passed": {
371
+ "method": "visual",
372
+ "intervals": [],
373
+ "final": false,
374
+ "evidence": [
375
+ {
376
+ "t": 20.88,
377
+ "log_step": 83,
378
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第25道旗门所需的前序节点 gate_24_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
379
+ }
380
+ ]
381
+ },
382
+ "gate_26_passed": {
383
+ "method": "visual",
384
+ "intervals": [],
385
+ "final": false,
386
+ "evidence": [
387
+ {
388
+ "t": 20.88,
389
+ "log_step": 83,
390
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第26道旗门所需的前序节点 gate_25_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
391
+ }
392
+ ]
393
+ },
394
+ "gate_27_passed": {
395
+ "method": "visual",
396
+ "intervals": [],
397
+ "final": false,
398
+ "evidence": [
399
+ {
400
+ "t": 20.88,
401
+ "log_step": 83,
402
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第27道旗门所需的前序节点 gate_26_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
403
+ }
404
+ ]
405
+ },
406
+ "gate_28_passed": {
407
+ "method": "visual",
408
+ "intervals": [],
409
+ "final": false,
410
+ "evidence": [
411
+ {
412
+ "t": 20.88,
413
+ "log_step": 83,
414
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第28道旗门所需的前序节点 gate_27_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
415
+ }
416
+ ]
417
+ },
418
+ "gate_29_passed": {
419
+ "method": "visual",
420
+ "intervals": [],
421
+ "final": false,
422
+ "evidence": [
423
+ {
424
+ "t": 20.88,
425
+ "log_step": 83,
426
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第29道旗门所需的前序节点 gate_28_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
427
+ }
428
+ ]
429
+ },
430
+ "gate_30_passed": {
431
+ "method": "visual",
432
+ "intervals": [],
433
+ "final": false,
434
+ "evidence": [
435
+ {
436
+ "t": 20.88,
437
+ "log_step": 83,
438
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第30道旗门所需的前序节点 gate_29_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
439
+ }
440
+ ]
441
+ },
442
+ "gate_31_passed": {
443
+ "method": "visual",
444
+ "intervals": [],
445
+ "final": false,
446
+ "evidence": [
447
+ {
448
+ "t": 20.88,
449
+ "log_step": 83,
450
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第31道旗门所需的前序节点 gate_30_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
451
+ }
452
+ ]
453
+ },
454
+ "gate_32_passed": {
455
+ "method": "visual",
456
+ "intervals": [],
457
+ "final": false,
458
+ "evidence": [
459
+ {
460
+ "t": 20.88,
461
+ "log_step": 83,
462
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。第32道旗门所需的前序节点 gate_31_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
463
+ }
464
+ ]
465
+ },
466
+ "finish_crossed": {
467
+ "method": "visual",
468
+ "intervals": [],
469
+ "final": false,
470
+ "evidence": [
471
+ {
472
+ "t": 20.88,
473
+ "log_step": 83,
474
+ "text_zh": "推断:视频 0.00–20.88 s 机器人一直在起点附近,末段侧倒,未到达第1道旗门;log step 83 同一受评 episode 6 的服务终局为 fell、stages_reached=1。终点所需的前序节点 gate_32_passed 未达成,且机器人未滑至该目标,因此本节点全程未成立。"
475
+ }
476
+ ]
477
+ }
478
+ },
479
+ "constraints": {}
480
+ },
481
+ "native_metrics": [
482
+ {
483
+ "name": "gates",
484
+ "unit": "count",
485
+ "threshold": 32,
486
+ "direction": "higher_better",
487
+ "value": null
488
+ },
489
+ {
490
+ "name": "speed_m_s",
491
+ "unit": "m/s",
492
+ "threshold": 0.1,
493
+ "direction": "higher_better",
494
+ "value": null
495
+ },
496
+ {
497
+ "name": "time_s",
498
+ "unit": "s",
499
+ "threshold": null,
500
+ "direction": "lower_better",
501
+ "value": null
502
+ }
503
+ ],
504
+ "failure": {
505
+ "breakpoint": {
506
+ "ref": "gate_1_passed",
507
+ "t": 20.6,
508
+ "log_step": 83,
509
+ "where": "操作中",
510
+ "evidence_zh": "观察:视频 19.80–20.40 s 机器人刚离开起点拱架附近并转动身体,视频 20.60 s 开始明显侧倾,视频 20.80–20.88 s 躯干降至雪面,仍远在第1道红色旗门上坡侧;log step 83 的机器人服务终局为 fell、stages_reached=1。首门节点包含自行起滑,机器人已实际推进并尝试滑向首门,失败发生在该步骤操作中。"
511
+ },
512
+ "unmet": {
513
+ "gate_1_passed": false,
514
+ "gate_2_passed": false,
515
+ "gate_3_passed": false,
516
+ "gate_4_passed": false,
517
+ "gate_5_passed": false,
518
+ "gate_6_passed": false,
519
+ "gate_7_passed": false,
520
+ "gate_8_passed": false,
521
+ "gate_9_passed": false,
522
+ "gate_10_passed": false,
523
+ "gate_11_passed": false,
524
+ "gate_12_passed": false,
525
+ "gate_13_passed": false,
526
+ "gate_14_passed": false,
527
+ "gate_15_passed": false,
528
+ "gate_16_passed": false,
529
+ "gate_17_passed": false,
530
+ "gate_18_passed": false,
531
+ "gate_19_passed": false,
532
+ "gate_20_passed": false,
533
+ "gate_21_passed": false,
534
+ "gate_22_passed": false,
535
+ "gate_23_passed": false,
536
+ "gate_24_passed": false,
537
+ "gate_25_passed": false,
538
+ "gate_26_passed": false,
539
+ "gate_27_passed": false,
540
+ "gate_28_passed": false,
541
+ "gate_29_passed": false,
542
+ "gate_30_passed": false,
543
+ "gate_31_passed": false,
544
+ "gate_32_passed": false,
545
+ "finish_crossed": false
546
+ },
547
+ "phenomena": [
548
+ {
549
+ "cat": "全身",
550
+ "item": "平衡",
551
+ "t": 20.6,
552
+ "log_step": 83,
553
+ "evidence_zh": "观察:视频 20.40、20.60、20.72、20.80、20.88 s 连续帧中,机器人由站在雪板上逐渐侧倾,身体倒至雪面,未恢复支撑姿态;log step 83 中机器人服务返回 fell,随后 log step 84 确认受评回合已结束。"
554
+ }
555
+ ],
556
+ "root_causes": [
557
+ {
558
+ "cat": "控制",
559
+ "item": "控制",
560
+ "evidence_zh": "推断:起滑到转向滑行的控制未稳定机器人朝向和姿态。log step 81 的控制脚本以固定关节插值反复落拳、后划、起身,起滑循环没有航向纠偏;log step 73 的后续滑行控制将航向误差直接限幅到 ±0.45 rad。log step 83 的脚本基于IMU打印,在仿真 20.34 s 航向约81°、目标约10°,随后转向命令持续为−0.45 rad而横滚读数从12°增至仿真 20.84 s 的80°;视频 20.40–20.88 s 的转身、侧倾及落地与之相符。证据支持控制失稳,尚不足以把具体转向符号、增益或接触载荷确定为单一原因。",
561
+ "source_zh": "日志 / 视频"
562
+ }
563
+ ],
564
+ "gap_zh": "没有状态日志;固定远景中机器人像素较少,无法分辨各拳垫接触力、雪板刃载荷及最先触雪的身体部位,因此控制根因保留在上位类。run.json 的 reward 未报告 gates、speed_m_s、time_s 三个原生指标字段,指标值均留 null;未用脚本的速度积分或 agent 自述替代评分器指标。"
565
+ },
566
+ "summary_zh": "受评的是 log step 83 重置后的第六次尝试:机器人反复俯身用双拳触雪推进,达到原生起点阶段,但没有通过任何旗门,DAG最终为0/33。视频约 20.60 s 机器人在起点下坡侧转向时侧倾,随后倒地;首门步骤在操作中因控制未稳住朝向和姿态而失败。缺少状态日志和接触力记录,无法进一步确定具体控制参数或载荷原因。",
567
+ "conf": 8,
568
+ "review": {
569
+ "status": "agreed",
570
+ "rounds": 1,
571
+ "reviewers": [
572
+ {
573
+ "engine": "claude",
574
+ "model": "claude-sonnet-5-5",
575
+ "round": 1,
576
+ "verdict": "agree",
577
+ "conf": 7,
578
+ "summary_zh": "33个节点均未达成与视频一致:机器人直到约19.5 s才越过起点红线,20.6 s后侧倒,从未接近第1道旗门;断点gate_1_passed/操作中、平衡现象、控制根因均有视频和log step 83依据,时钟均为视频时间或明确标注的仿真时间。",
579
+ "n_issues": 0,
580
+ "n_major": 0
581
+ }
582
+ ],
583
+ "open_zh": []
584
+ },
585
+ "provenance": {
586
+ "prompt": "prompts/03_trajectory.md",
587
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
590
+ "effort": "high",
591
+ "created": "2026-10-31T00:39:29Z",
592
+ "review_prompt": "prompts/04_trajectory_review.md",
593
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
594
+ "reconcile_prompt": "prompts/05_reconcile.md",
595
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
596
+ "calls": [
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+ {
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+ "stage": "traj",
599
+ "round": 0,
600
+ "ok": true,
601
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--bmeevqs/03_label"
602
+ },
603
+ {
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+ "stage": "traj_review",
605
+ "round": 1,
606
+ "ok": true,
607
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--bmeevqs/04_review_r1"
608
+ }
609
+ ],
610
+ "review_engine": "claude",
611
+ "review_model": "claude-sonnet-5-5",
612
+ "inputs": {
613
+ "run_json_sha256": "5e69a1e7920682c143736bd66aef257ff4f69c9e73b31864f6715a24f3d76d6a",
614
+ "video_sha256": "7aae9084bddf65341355f91917a8a9566d91248a4a73d0c68c92baff2e66650e",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
617
+ }
618
+ }
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+ }
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+ {
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+ "runId": "embodied-olympics-fun-alpine-slalom-i00-standard--dc3sbap",
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+ "taskKey": "embodied-olympics-fun/alpine_slalom",
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+ "sim_startups": 1,
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+ "elapsed_s": 3654.9,
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+ "peak_disk_gb": 1.018,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-standard--dc3sbap/replay.mp4",
52
+ "duration_s": 6.16,
53
+ "fps": 25.0,
54
+ "frames": 154,
55
+ "sha256": "0f7a76153f7c9ae19b500afe4130df5a66d457e64941d8ca250755f909e63fe6"
56
+ },
57
+ "state": null,
58
+ "progress": {
59
+ "method": "visual",
60
+ "denominator": 33,
61
+ "base": 0,
62
+ "peak": 0,
63
+ "final": 0,
64
+ "nodes": {
65
+ "gate_1_passed": {
66
+ "method": "visual",
67
+ "intervals": [],
68
+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 2.8,
72
+ "log_step": 149,
73
+ "text_zh": "观察:视频 2.0–3.8 s,机器人在起点红线旁屈膝、改变躯干俯仰和雪板支承姿态;没有滑至远处第1道红色旗门。log step 149 的最终回合脚本先等待,再执行双腿起滑动作、俯仰反馈及回站姿动作。"
74
+ },
75
+ {
76
+ "t": 6.12,
77
+ "log_step": 150,
78
+ "text_zh": "观察:视频 4.0–6.12 s,机器人在原起点附近持续后仰,末帧仍未离开起点区域;log step 150 的机器人服务终结响应明确为 episode=6、outcome=fell、stages_reached=0/34。此处 stages_reached 是服务裁判已接受的原生阶段数,包含起点、32道门和终点,与DAG的33个节点分母不同。"
79
+ },
80
+ {
81
+ "t": 6.12,
82
+ "log_step": 150,
83
+ "text_zh": "推断:最终回合的 control_steps=615、sim_time_s=6.15 对应每控制步0.01 s;其终结与视频 6.12 s 的后仰末帧及视频总长6.16 s相符。结合全程没有离开起点区域及裁判零阶段,可判定首门从未完成;log step 28、90 中较早回合的起点阶段不属于本次受评视频。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "支撑",
90
+ "note_zh": "观察:视频 0.0–3.8 s,机器人双脚经各自固定的雪板支承于起点雪面,双腿屈伸、躯干改变俯仰以尝试出发;视频约 4.0 s 起持续向后失衡。"
91
+ }
92
+ ]
93
+ },
94
+ "gate_2_passed": {
95
+ "method": "visual",
96
+ "intervals": [],
97
+ "final": false,
98
+ "evidence": [
99
+ {
100
+ "t": 6.12,
101
+ "log_step": 150,
102
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第1门的顺序前置未达成,故第2门从未完成,也未被单独尝试。"
103
+ }
104
+ ]
105
+ },
106
+ "gate_3_passed": {
107
+ "method": "visual",
108
+ "intervals": [],
109
+ "final": false,
110
+ "evidence": [
111
+ {
112
+ "t": 6.12,
113
+ "log_step": 150,
114
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第2门的顺序前置未达成,故第3门从未完成,也未被单独尝试。"
115
+ }
116
+ ]
117
+ },
118
+ "gate_4_passed": {
119
+ "method": "visual",
120
+ "intervals": [],
121
+ "final": false,
122
+ "evidence": [
123
+ {
124
+ "t": 6.12,
125
+ "log_step": 150,
126
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第3门的顺序前置未达成,故第4门从未完成,也未被单独尝试。"
127
+ }
128
+ ]
129
+ },
130
+ "gate_5_passed": {
131
+ "method": "visual",
132
+ "intervals": [],
133
+ "final": false,
134
+ "evidence": [
135
+ {
136
+ "t": 6.12,
137
+ "log_step": 150,
138
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第4门的顺序前置未达成,故第5门从未完成,也未被单独尝试。"
139
+ }
140
+ ]
141
+ },
142
+ "gate_6_passed": {
143
+ "method": "visual",
144
+ "intervals": [],
145
+ "final": false,
146
+ "evidence": [
147
+ {
148
+ "t": 6.12,
149
+ "log_step": 150,
150
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第5门的顺序前置未达成,故第6门从未完成,也未被单独尝试。"
151
+ }
152
+ ]
153
+ },
154
+ "gate_7_passed": {
155
+ "method": "visual",
156
+ "intervals": [],
157
+ "final": false,
158
+ "evidence": [
159
+ {
160
+ "t": 6.12,
161
+ "log_step": 150,
162
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第6门的顺序前置未达成,故第7门从未完成,也未被单独尝试。"
163
+ }
164
+ ]
165
+ },
166
+ "gate_8_passed": {
167
+ "method": "visual",
168
+ "intervals": [],
169
+ "final": false,
170
+ "evidence": [
171
+ {
172
+ "t": 6.12,
173
+ "log_step": 150,
174
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第7门的顺序前置未达成,故第8门从未完成,也未被单独尝试。"
175
+ }
176
+ ]
177
+ },
178
+ "gate_9_passed": {
179
+ "method": "visual",
180
+ "intervals": [],
181
+ "final": false,
182
+ "evidence": [
183
+ {
184
+ "t": 6.12,
185
+ "log_step": 150,
186
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第8门的顺序前置未达成,故第9门从未完成,也未被单独尝试。"
187
+ }
188
+ ]
189
+ },
190
+ "gate_10_passed": {
191
+ "method": "visual",
192
+ "intervals": [],
193
+ "final": false,
194
+ "evidence": [
195
+ {
196
+ "t": 6.12,
197
+ "log_step": 150,
198
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第9门的顺序前置未达成,故第10门从未完成,也未被单独尝试。"
199
+ }
200
+ ]
201
+ },
202
+ "gate_11_passed": {
203
+ "method": "visual",
204
+ "intervals": [],
205
+ "final": false,
206
+ "evidence": [
207
+ {
208
+ "t": 6.12,
209
+ "log_step": 150,
210
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第10门的顺序前置未达成,故第11门从未完成,也未被单独尝试。"
211
+ }
212
+ ]
213
+ },
214
+ "gate_12_passed": {
215
+ "method": "visual",
216
+ "intervals": [],
217
+ "final": false,
218
+ "evidence": [
219
+ {
220
+ "t": 6.12,
221
+ "log_step": 150,
222
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第11门的顺序前置未达成,故第12门从未完成,也未被单独尝试。"
223
+ }
224
+ ]
225
+ },
226
+ "gate_13_passed": {
227
+ "method": "visual",
228
+ "intervals": [],
229
+ "final": false,
230
+ "evidence": [
231
+ {
232
+ "t": 6.12,
233
+ "log_step": 150,
234
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第12门的顺序前置未达成,故第13门从未完成,也未被单独尝试。"
235
+ }
236
+ ]
237
+ },
238
+ "gate_14_passed": {
239
+ "method": "visual",
240
+ "intervals": [],
241
+ "final": false,
242
+ "evidence": [
243
+ {
244
+ "t": 6.12,
245
+ "log_step": 150,
246
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第13门的顺序前置未达成,故第14门从未完成,也未被单独尝试。"
247
+ }
248
+ ]
249
+ },
250
+ "gate_15_passed": {
251
+ "method": "visual",
252
+ "intervals": [],
253
+ "final": false,
254
+ "evidence": [
255
+ {
256
+ "t": 6.12,
257
+ "log_step": 150,
258
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第14门的顺序前置未达成,故第15门从未完成,也未被单独尝试。"
259
+ }
260
+ ]
261
+ },
262
+ "gate_16_passed": {
263
+ "method": "visual",
264
+ "intervals": [],
265
+ "final": false,
266
+ "evidence": [
267
+ {
268
+ "t": 6.12,
269
+ "log_step": 150,
270
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的��终回合服务裁判报告 stages_reached=0/34、outcome=fell。第15门的顺序前置未达成,故第16门从未完成,也未被单独尝试。"
271
+ }
272
+ ]
273
+ },
274
+ "gate_17_passed": {
275
+ "method": "visual",
276
+ "intervals": [],
277
+ "final": false,
278
+ "evidence": [
279
+ {
280
+ "t": 6.12,
281
+ "log_step": 150,
282
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第16门的顺序前置未达成,故第17门从未完成,也未被单独尝试。"
283
+ }
284
+ ]
285
+ },
286
+ "gate_18_passed": {
287
+ "method": "visual",
288
+ "intervals": [],
289
+ "final": false,
290
+ "evidence": [
291
+ {
292
+ "t": 6.12,
293
+ "log_step": 150,
294
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第17门的顺序前置未达成,故第18门从未完成,也未被单独尝试。"
295
+ }
296
+ ]
297
+ },
298
+ "gate_19_passed": {
299
+ "method": "visual",
300
+ "intervals": [],
301
+ "final": false,
302
+ "evidence": [
303
+ {
304
+ "t": 6.12,
305
+ "log_step": 150,
306
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第18门的顺序前置未达成,故第19门从未完成,也未被单独尝试。"
307
+ }
308
+ ]
309
+ },
310
+ "gate_20_passed": {
311
+ "method": "visual",
312
+ "intervals": [],
313
+ "final": false,
314
+ "evidence": [
315
+ {
316
+ "t": 6.12,
317
+ "log_step": 150,
318
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第19门的顺序前置未达成,故第20门从未完成,也未被单独尝试。"
319
+ }
320
+ ]
321
+ },
322
+ "gate_21_passed": {
323
+ "method": "visual",
324
+ "intervals": [],
325
+ "final": false,
326
+ "evidence": [
327
+ {
328
+ "t": 6.12,
329
+ "log_step": 150,
330
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第20门的顺序前置未达成,故第21门从未完成,也未被单独尝试。"
331
+ }
332
+ ]
333
+ },
334
+ "gate_22_passed": {
335
+ "method": "visual",
336
+ "intervals": [],
337
+ "final": false,
338
+ "evidence": [
339
+ {
340
+ "t": 6.12,
341
+ "log_step": 150,
342
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第21门的顺序前置未达成,故第22门从未完成,也未被单独尝试。"
343
+ }
344
+ ]
345
+ },
346
+ "gate_23_passed": {
347
+ "method": "visual",
348
+ "intervals": [],
349
+ "final": false,
350
+ "evidence": [
351
+ {
352
+ "t": 6.12,
353
+ "log_step": 150,
354
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第22门的顺序前置未达成,故第23门从未完成,也未被单独尝试。"
355
+ }
356
+ ]
357
+ },
358
+ "gate_24_passed": {
359
+ "method": "visual",
360
+ "intervals": [],
361
+ "final": false,
362
+ "evidence": [
363
+ {
364
+ "t": 6.12,
365
+ "log_step": 150,
366
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第23门的顺序前置未达成,故第24门从未完成,也未被单独尝试。"
367
+ }
368
+ ]
369
+ },
370
+ "gate_25_passed": {
371
+ "method": "visual",
372
+ "intervals": [],
373
+ "final": false,
374
+ "evidence": [
375
+ {
376
+ "t": 6.12,
377
+ "log_step": 150,
378
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第24门的顺序前置未达成,故第25门从未完成,也未被单独尝试。"
379
+ }
380
+ ]
381
+ },
382
+ "gate_26_passed": {
383
+ "method": "visual",
384
+ "intervals": [],
385
+ "final": false,
386
+ "evidence": [
387
+ {
388
+ "t": 6.12,
389
+ "log_step": 150,
390
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第25门的顺序前置未达成,故第26门从未完成,也未被单独尝试。"
391
+ }
392
+ ]
393
+ },
394
+ "gate_27_passed": {
395
+ "method": "visual",
396
+ "intervals": [],
397
+ "final": false,
398
+ "evidence": [
399
+ {
400
+ "t": 6.12,
401
+ "log_step": 150,
402
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第26门的顺序前置未达成,故第27门从未完成,也未被单独尝试。"
403
+ }
404
+ ]
405
+ },
406
+ "gate_28_passed": {
407
+ "method": "visual",
408
+ "intervals": [],
409
+ "final": false,
410
+ "evidence": [
411
+ {
412
+ "t": 6.12,
413
+ "log_step": 150,
414
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第27门的顺序前置未达成,故第28门从未完成,也未被单独尝试。"
415
+ }
416
+ ]
417
+ },
418
+ "gate_29_passed": {
419
+ "method": "visual",
420
+ "intervals": [],
421
+ "final": false,
422
+ "evidence": [
423
+ {
424
+ "t": 6.12,
425
+ "log_step": 150,
426
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第28门的顺序前置未达成,故第29门从未完成,也未被单独尝试。"
427
+ }
428
+ ]
429
+ },
430
+ "gate_30_passed": {
431
+ "method": "visual",
432
+ "intervals": [],
433
+ "final": false,
434
+ "evidence": [
435
+ {
436
+ "t": 6.12,
437
+ "log_step": 150,
438
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第29门的顺序前置未达成,故第30门从未完成,也未被单独尝试。"
439
+ }
440
+ ]
441
+ },
442
+ "gate_31_passed": {
443
+ "method": "visual",
444
+ "intervals": [],
445
+ "final": false,
446
+ "evidence": [
447
+ {
448
+ "t": 6.12,
449
+ "log_step": 150,
450
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第30门的顺序前置未达成,故第31门从未完成,也未被单独尝试。"
451
+ }
452
+ ]
453
+ },
454
+ "gate_32_passed": {
455
+ "method": "visual",
456
+ "intervals": [],
457
+ "final": false,
458
+ "evidence": [
459
+ {
460
+ "t": 6.12,
461
+ "log_step": 150,
462
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线附近,没有到达第1门;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。第31门的顺序前置未达成,故第32门从未完成,也未被单独尝试。"
463
+ }
464
+ ]
465
+ },
466
+ "finish_crossed": {
467
+ "method": "visual",
468
+ "intervals": [],
469
+ "final": false,
470
+ "evidence": [
471
+ {
472
+ "t": 6.12,
473
+ "log_step": 150,
474
+ "text_zh": "推断:视频 0.0–6.12 s,机器人始终在起点拱架及红线旁,没有滑向远处赛道或终点;log step 150 的最终回合服务裁判报告 stages_reached=0/34、outcome=fell。32道门均未通过,因而本节点要求的过门前置及双脚越过终点均未达成,也未开始终点动作。"
475
+ }
476
+ ]
477
+ }
478
+ },
479
+ "constraints": {}
480
+ },
481
+ "native_metrics": [
482
+ {
483
+ "name": "gates",
484
+ "value": null,
485
+ "unit": "count",
486
+ "threshold": 32,
487
+ "direction": "higher_better"
488
+ },
489
+ {
490
+ "name": "speed_m_s",
491
+ "value": null,
492
+ "unit": "m/s",
493
+ "threshold": 0.1,
494
+ "direction": "higher_better"
495
+ },
496
+ {
497
+ "name": "time_s",
498
+ "value": null,
499
+ "unit": "s",
500
+ "threshold": null,
501
+ "direction": "lower_better"
502
+ }
503
+ ],
504
+ "failure": {
505
+ "breakpoint": {
506
+ "ref": "gate_1_passed",
507
+ "t": 4.0,
508
+ "log_step": 149,
509
+ "where": "操作中",
510
+ "evidence_zh": "观察:视频 2.0–3.8 s,机器人在起点雪板上屈膝并调整俯仰以尝试出发;视频约 4.0 s 起躯干明显向后倒,视频 4.8–6.12 s 仍大幅后仰,未恢复或通过首门。log step 149 是最后一次重置后的起滑控制脚本,log step 150 的服务裁判以 fell、0/34 阶段终结该回合。首门节点包含起滑验收,因此断点为首门操作中的起滑失败。"
511
+ },
512
+ "unmet": {
513
+ "gate_1_passed": false,
514
+ "gate_2_passed": false,
515
+ "gate_3_passed": false,
516
+ "gate_4_passed": false,
517
+ "gate_5_passed": false,
518
+ "gate_6_passed": false,
519
+ "gate_7_passed": false,
520
+ "gate_8_passed": false,
521
+ "gate_9_passed": false,
522
+ "gate_10_passed": false,
523
+ "gate_11_passed": false,
524
+ "gate_12_passed": false,
525
+ "gate_13_passed": false,
526
+ "gate_14_passed": false,
527
+ "gate_15_passed": false,
528
+ "gate_16_passed": false,
529
+ "gate_17_passed": false,
530
+ "gate_18_passed": false,
531
+ "gate_19_passed": false,
532
+ "gate_20_passed": false,
533
+ "gate_21_passed": false,
534
+ "gate_22_passed": false,
535
+ "gate_23_passed": false,
536
+ "gate_24_passed": false,
537
+ "gate_25_passed": false,
538
+ "gate_26_passed": false,
539
+ "gate_27_passed": false,
540
+ "gate_28_passed": false,
541
+ "gate_29_passed": false,
542
+ "gate_30_passed": false,
543
+ "gate_31_passed": false,
544
+ "gate_32_passed": false,
545
+ "finish_crossed": false
546
+ },
547
+ "phenomena": [
548
+ {
549
+ "cat": "全身",
550
+ "item": "平衡",
551
+ "t": 4.0,
552
+ "log_step": 150,
553
+ "evidence_zh": "观察:视频 3.8 s 时机器人仍在雪板上保持屈膝姿态,视频 4.0–4.8 s 躯干逐渐向后倾倒至接近水平,视频 5.2–6.12 s 未恢复直立;log step 150 的机器人服务最终响应为 outcome=fell、done=true,且未接受任何原生阶段。"
554
+ }
555
+ ],
556
+ "root_causes": [
557
+ {
558
+ "cat": "控制",
559
+ "item": "控制",
560
+ "t": 4.0,
561
+ "log_step": 149,
562
+ "source_zh": "日志",
563
+ "evidence_zh": "推断:log step 149 的最终脚本在俯仰反馈的屈膝动作后,改用 stiff_pose(d,d.q0,.9) 回到固定站姿,再调用 stand;log step 92 可见 stiff_pose 使用固定关节目标及较高腿部位置增益。与视频 3.8–4.8 s 回姿过程中持续后仰、至视频 6.12 s 仍未恢复相结合,说明该起滑及回姿控制未能维持全身俯仰稳定。log step 150 的末段姿态打印也显示俯仰约为-0.94 rad;目前只能归因于本体姿态控制,不能据此确定是哪项增益、轨迹或反馈环节造成失稳。"
564
+ }
565
+ ],
566
+ "gap_zh": "输入无状态日志;视频为固定远景,不能确定首先触雪的具体身体部位或支承力变化。log step 150 的中间控制输出被截断,缺少回站姿过程的完整姿态与力矩序列,因此根因不细分到参数、轨迹或反馈控制;gates、speed_m_s、time_s 未作为原生指标值单独报告,native_metrics 均留 null。"
567
+ },
568
+ "summary_zh": "受评的是最后一次重置后的第6回合:机器人在起点附近尝试屈膝起滑,没有完成任何旗门或终点,DAG最终进度为0/33;log step 150 的服务裁判报告摔倒、0/34原生阶段。视频约 4.0 s 起机器人在回姿过程中持续后仰,断点为包含起滑验收的首门步骤,现象为全身平衡失败,根因归于本体姿态控制。固定远景及被截断的中间控制输出不足以确定具体控制子因;此前测试回合的起点进度未计入本次。",
569
+ "conf": 8,
570
+ "review": {
571
+ "status": "agreed",
572
+ "rounds": 1,
573
+ "reviewers": [
574
+ {
575
+ "engine": "claude",
576
+ "model": "claude-sonnet-5-5",
577
+ "round": 1,
578
+ "verdict": "agree",
579
+ "conf": 7,
580
+ "summary_zh": "视频仅6.16 s,为最后一次重置后的第6回合:机器人始终在起点拱架附近,约4 s起后仰倒下,未通过任何门,所有节点false、断点gate_1、现象平衡、根因控制均与视频及log step 150/151的服务终结响应(fell、0/34、sim 6.15 s)相符。未发现需修改之处。",
581
+ "n_issues": 0,
582
+ "n_major": 0
583
+ }
584
+ ],
585
+ "open_zh": []
586
+ },
587
+ "provenance": {
588
+ "prompt": "prompts/03_trajectory.md",
589
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
590
+ "engine": "codex",
591
+ "model": "gpt-6.1-sol",
592
+ "effort": "high",
593
+ "created": "2026-10-31T00:44:16Z",
594
+ "review_prompt": "prompts/04_trajectory_review.md",
595
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
596
+ "reconcile_prompt": "prompts/05_reconcile.md",
597
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
598
+ "calls": [
599
+ {
600
+ "stage": "traj",
601
+ "round": 0,
602
+ "ok": true,
603
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--dc3sbap/03_label"
604
+ },
605
+ {
606
+ "stage": "traj_review",
607
+ "round": 1,
608
+ "ok": true,
609
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--dc3sbap/04_review_r1"
610
+ }
611
+ ],
612
+ "review_engine": "claude",
613
+ "review_model": "claude-sonnet-5-5",
614
+ "inputs": {
615
+ "run_json_sha256": "822b687e0c5bbd9468c90c96e5f5a093ae27bb3085a795698c3564415367b887",
616
+ "video_sha256": "0f7a76153f7c9ae19b500afe4130df5a66d457e64941d8ca250755f909e63fe6",
617
+ "states_sha256": null,
618
+ "video_choice": "HF replay.mp4"
619
+ }
620
+ }
621
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--dmfy7r6.json ADDED
@@ -0,0 +1,621 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "efe-trajectory-labels/1",
3
+ "taxonomy": "v2",
4
+ "runId": "embodied-olympics-fun-alpine-slalom-i00-standard--dmfy7r6",
5
+ "taskKey": "embodied-olympics-fun/alpine_slalom",
6
+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
7
+ "outcome": {
8
+ "success": 0,
9
+ "reward": 0.0,
10
+ "source": "catalog",
11
+ "raw": {
12
+ "success": 0,
13
+ "live_success": 0,
14
+ "graded_by_live": 1,
15
+ "replays": 0,
16
+ "live_rule": 1,
17
+ "live_verdict_error": 0,
18
+ "finalized": 1,
19
+ "missing_log": 0,
20
+ "infra_error": 0,
21
+ "grader_error": 0,
22
+ "sim_error": 0,
23
+ "sim_crashed_on_call": 0,
24
+ "instance_mismatch": 0,
25
+ "n_actions": 758,
26
+ "sim_steps": 7429,
27
+ "calls": 124,
28
+ "rows": 7429,
29
+ "resets": 5,
30
+ "reset_budget": 5,
31
+ "sim_startups": 1,
32
+ "elapsed_s": 756.7,
33
+ "video_rendered": 1,
34
+ "first_success": 0,
35
+ "first_reason_code": 2,
36
+ "resource_enforced": 0,
37
+ "limits_violation_observed": 0,
38
+ "resource_monitor_missing": 1,
39
+ "peak_gpu_memory_gb": 0.0,
40
+ "peak_memory_gb": 0.0,
41
+ "peak_processes": 0.0,
42
+ "peak_disk_gb": 0.0,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-standard--dmfy7r6/replay.mp4",
52
+ "duration_s": 7.6,
53
+ "fps": 25.0,
54
+ "frames": 190,
55
+ "sha256": "9cf9bf8c87083113174a60cf2e1b20d71e2a779415bb8e30f8c4be9260fdf309"
56
+ },
57
+ "state": null,
58
+ "progress": {
59
+ "method": "visual",
60
+ "denominator": 33,
61
+ "base": 0,
62
+ "peak": 0,
63
+ "final": 0,
64
+ "nodes": {
65
+ "gate_1_passed": {
66
+ "method": "visual",
67
+ "intervals": [],
68
+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 5.2,
72
+ "log_step": null,
73
+ "text_zh": "观察:视频0–5.2 s,机器人穿着双雪板在黑色起点拱架及红色起点线附近移动,尚未滑到远处第1对红色旗杆。"
74
+ },
75
+ {
76
+ "t": 7.56,
77
+ "log_step": null,
78
+ "text_zh": "观察:视频7.20–7.56 s,机器人在起点拱架附近倾倒,末帧躯干接近横卧雪面;全段视频未见机器人到达或穿过第1门。"
79
+ },
80
+ {
81
+ "t": null,
82
+ "log_step": 124,
83
+ "text_zh": "观察:log step 22的机器人服务规则说明只评分最后一个回合;log step 124启动第6回合并记录一次reset,reward.resets=5。log step 130关于第5回合通过第1门的说法是agent对早先试跑的自述,不计入本段受评视频的进展。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "支撑",
90
+ "note_zh": "观察:视频0–7.0 s,机器人双脚经绑定雪板在雪面上承重并移动,为前往第1门起滑;视频7.20–7.56 s支撑姿态失稳,躯干倒向雪面。"
91
+ }
92
+ ]
93
+ },
94
+ "gate_2_passed": {
95
+ "method": "visual",
96
+ "intervals": [],
97
+ "final": false,
98
+ "evidence": [
99
+ {
100
+ "t": 7.56,
101
+ "log_step": null,
102
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第2门的前置第1门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
103
+ }
104
+ ]
105
+ },
106
+ "gate_3_passed": {
107
+ "method": "visual",
108
+ "intervals": [],
109
+ "final": false,
110
+ "evidence": [
111
+ {
112
+ "t": 7.56,
113
+ "log_step": null,
114
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第3门的前置第2门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
115
+ }
116
+ ]
117
+ },
118
+ "gate_4_passed": {
119
+ "method": "visual",
120
+ "intervals": [],
121
+ "final": false,
122
+ "evidence": [
123
+ {
124
+ "t": 7.56,
125
+ "log_step": null,
126
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第4门的前置第3门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
127
+ }
128
+ ]
129
+ },
130
+ "gate_5_passed": {
131
+ "method": "visual",
132
+ "intervals": [],
133
+ "final": false,
134
+ "evidence": [
135
+ {
136
+ "t": 7.56,
137
+ "log_step": null,
138
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第5门的前置第4门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
139
+ }
140
+ ]
141
+ },
142
+ "gate_6_passed": {
143
+ "method": "visual",
144
+ "intervals": [],
145
+ "final": false,
146
+ "evidence": [
147
+ {
148
+ "t": 7.56,
149
+ "log_step": null,
150
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第6门的前置第5门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
151
+ }
152
+ ]
153
+ },
154
+ "gate_7_passed": {
155
+ "method": "visual",
156
+ "intervals": [],
157
+ "final": false,
158
+ "evidence": [
159
+ {
160
+ "t": 7.56,
161
+ "log_step": null,
162
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第7门的前置第6门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
163
+ }
164
+ ]
165
+ },
166
+ "gate_8_passed": {
167
+ "method": "visual",
168
+ "intervals": [],
169
+ "final": false,
170
+ "evidence": [
171
+ {
172
+ "t": 7.56,
173
+ "log_step": null,
174
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第8门的前置第7门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
175
+ }
176
+ ]
177
+ },
178
+ "gate_9_passed": {
179
+ "method": "visual",
180
+ "intervals": [],
181
+ "final": false,
182
+ "evidence": [
183
+ {
184
+ "t": 7.56,
185
+ "log_step": null,
186
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第9门的前置第8门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
187
+ }
188
+ ]
189
+ },
190
+ "gate_10_passed": {
191
+ "method": "visual",
192
+ "intervals": [],
193
+ "final": false,
194
+ "evidence": [
195
+ {
196
+ "t": 7.56,
197
+ "log_step": null,
198
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第10门的前置第9门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
199
+ }
200
+ ]
201
+ },
202
+ "gate_11_passed": {
203
+ "method": "visual",
204
+ "intervals": [],
205
+ "final": false,
206
+ "evidence": [
207
+ {
208
+ "t": 7.56,
209
+ "log_step": null,
210
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第11门的前置第10门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
211
+ }
212
+ ]
213
+ },
214
+ "gate_12_passed": {
215
+ "method": "visual",
216
+ "intervals": [],
217
+ "final": false,
218
+ "evidence": [
219
+ {
220
+ "t": 7.56,
221
+ "log_step": null,
222
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第12门的前置第11门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
223
+ }
224
+ ]
225
+ },
226
+ "gate_13_passed": {
227
+ "method": "visual",
228
+ "intervals": [],
229
+ "final": false,
230
+ "evidence": [
231
+ {
232
+ "t": 7.56,
233
+ "log_step": null,
234
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第13门的前置第12门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
235
+ }
236
+ ]
237
+ },
238
+ "gate_14_passed": {
239
+ "method": "visual",
240
+ "intervals": [],
241
+ "final": false,
242
+ "evidence": [
243
+ {
244
+ "t": 7.56,
245
+ "log_step": null,
246
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第14门的前置第13门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
247
+ }
248
+ ]
249
+ },
250
+ "gate_15_passed": {
251
+ "method": "visual",
252
+ "intervals": [],
253
+ "final": false,
254
+ "evidence": [
255
+ {
256
+ "t": 7.56,
257
+ "log_step": null,
258
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第15门的前置第14门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
259
+ }
260
+ ]
261
+ },
262
+ "gate_16_passed": {
263
+ "method": "visual",
264
+ "intervals": [],
265
+ "final": false,
266
+ "evidence": [
267
+ {
268
+ "t": 7.56,
269
+ "log_step": null,
270
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第16门的前置第15门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
271
+ }
272
+ ]
273
+ },
274
+ "gate_17_passed": {
275
+ "method": "visual",
276
+ "intervals": [],
277
+ "final": false,
278
+ "evidence": [
279
+ {
280
+ "t": 7.56,
281
+ "log_step": null,
282
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第17门的前置第16门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
283
+ }
284
+ ]
285
+ },
286
+ "gate_18_passed": {
287
+ "method": "visual",
288
+ "intervals": [],
289
+ "final": false,
290
+ "evidence": [
291
+ {
292
+ "t": 7.56,
293
+ "log_step": null,
294
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第18门的前置第17门未完成,因此本门从未成立,机��人也未开始本门的独立尝试。"
295
+ }
296
+ ]
297
+ },
298
+ "gate_19_passed": {
299
+ "method": "visual",
300
+ "intervals": [],
301
+ "final": false,
302
+ "evidence": [
303
+ {
304
+ "t": 7.56,
305
+ "log_step": null,
306
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第19门的前置第18门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
307
+ }
308
+ ]
309
+ },
310
+ "gate_20_passed": {
311
+ "method": "visual",
312
+ "intervals": [],
313
+ "final": false,
314
+ "evidence": [
315
+ {
316
+ "t": 7.56,
317
+ "log_step": null,
318
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第20门的前置第19门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
319
+ }
320
+ ]
321
+ },
322
+ "gate_21_passed": {
323
+ "method": "visual",
324
+ "intervals": [],
325
+ "final": false,
326
+ "evidence": [
327
+ {
328
+ "t": 7.56,
329
+ "log_step": null,
330
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第21门的前置第20门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
331
+ }
332
+ ]
333
+ },
334
+ "gate_22_passed": {
335
+ "method": "visual",
336
+ "intervals": [],
337
+ "final": false,
338
+ "evidence": [
339
+ {
340
+ "t": 7.56,
341
+ "log_step": null,
342
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第22门的前置第21门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
343
+ }
344
+ ]
345
+ },
346
+ "gate_23_passed": {
347
+ "method": "visual",
348
+ "intervals": [],
349
+ "final": false,
350
+ "evidence": [
351
+ {
352
+ "t": 7.56,
353
+ "log_step": null,
354
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第23门的前置第22门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
355
+ }
356
+ ]
357
+ },
358
+ "gate_24_passed": {
359
+ "method": "visual",
360
+ "intervals": [],
361
+ "final": false,
362
+ "evidence": [
363
+ {
364
+ "t": 7.56,
365
+ "log_step": null,
366
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第24门的前置第23门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
367
+ }
368
+ ]
369
+ },
370
+ "gate_25_passed": {
371
+ "method": "visual",
372
+ "intervals": [],
373
+ "final": false,
374
+ "evidence": [
375
+ {
376
+ "t": 7.56,
377
+ "log_step": null,
378
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第25门的前置第24门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
379
+ }
380
+ ]
381
+ },
382
+ "gate_26_passed": {
383
+ "method": "visual",
384
+ "intervals": [],
385
+ "final": false,
386
+ "evidence": [
387
+ {
388
+ "t": 7.56,
389
+ "log_step": null,
390
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第26门的前置第25门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
391
+ }
392
+ ]
393
+ },
394
+ "gate_27_passed": {
395
+ "method": "visual",
396
+ "intervals": [],
397
+ "final": false,
398
+ "evidence": [
399
+ {
400
+ "t": 7.56,
401
+ "log_step": null,
402
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第27门的前置第26门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
403
+ }
404
+ ]
405
+ },
406
+ "gate_28_passed": {
407
+ "method": "visual",
408
+ "intervals": [],
409
+ "final": false,
410
+ "evidence": [
411
+ {
412
+ "t": 7.56,
413
+ "log_step": null,
414
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第28门的前置第27门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
415
+ }
416
+ ]
417
+ },
418
+ "gate_29_passed": {
419
+ "method": "visual",
420
+ "intervals": [],
421
+ "final": false,
422
+ "evidence": [
423
+ {
424
+ "t": 7.56,
425
+ "log_step": null,
426
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第29门的前置第28门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
427
+ }
428
+ ]
429
+ },
430
+ "gate_30_passed": {
431
+ "method": "visual",
432
+ "intervals": [],
433
+ "final": false,
434
+ "evidence": [
435
+ {
436
+ "t": 7.56,
437
+ "log_step": null,
438
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序��收,第30门的前置第29门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
439
+ }
440
+ ]
441
+ },
442
+ "gate_31_passed": {
443
+ "method": "visual",
444
+ "intervals": [],
445
+ "final": false,
446
+ "evidence": [
447
+ {
448
+ "t": 7.56,
449
+ "log_step": null,
450
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第31门的前置第30门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
451
+ }
452
+ ]
453
+ },
454
+ "gate_32_passed": {
455
+ "method": "visual",
456
+ "intervals": [],
457
+ "final": false,
458
+ "evidence": [
459
+ {
460
+ "t": 7.56,
461
+ "log_step": null,
462
+ "text_zh": "推断:视频0–7.56 s机器人未离开起点拱架附近进入第1门,末段倾倒;按DAG逐门顺序验收,第32门的前置第31门未完成,因此本门从未成立,机器人也未开始本门的独立尝试。"
463
+ }
464
+ ]
465
+ },
466
+ "finish_crossed": {
467
+ "method": "visual",
468
+ "intervals": [],
469
+ "final": false,
470
+ "evidence": [
471
+ {
472
+ "t": 7.56,
473
+ "log_step": null,
474
+ "text_zh": "推断:视频0–7.56 s机器人一直处于起点黑色拱架附近,末段倒下,未完成第1门,更未完成其余31门;按顺序验收的终点节点从未成立。画面中的黑色拱架是起点,不是终点。"
475
+ }
476
+ ]
477
+ }
478
+ },
479
+ "constraints": {}
480
+ },
481
+ "native_metrics": [
482
+ {
483
+ "name": "gates",
484
+ "unit": "count",
485
+ "threshold": 32,
486
+ "direction": "higher_better",
487
+ "value": null
488
+ },
489
+ {
490
+ "name": "speed_m_s",
491
+ "unit": "m/s",
492
+ "threshold": 0.1,
493
+ "direction": "higher_better",
494
+ "value": null
495
+ },
496
+ {
497
+ "name": "time_s",
498
+ "unit": "s",
499
+ "threshold": null,
500
+ "direction": "lower_better",
501
+ "value": null
502
+ }
503
+ ],
504
+ "failure": {
505
+ "breakpoint": {
506
+ "ref": "gate_1_passed",
507
+ "t": 7.2,
508
+ "log_step": null,
509
+ "where": "操作中",
510
+ "evidence_zh": "观察:视频0–7.0 s机器人在起点红线和黑色拱架附近以雪板支承、移动,正在执行首门之前的起滑;视频约7.2 s开始明显倾倒,视频7.4–7.56 s躯干倒向雪面,未到达第1门,之后没有恢复。起滑验收并入第1门,故断点为通过第1门。"
511
+ },
512
+ "unmet": {
513
+ "gate_1_passed": false,
514
+ "gate_2_passed": false,
515
+ "gate_3_passed": false,
516
+ "gate_4_passed": false,
517
+ "gate_5_passed": false,
518
+ "gate_6_passed": false,
519
+ "gate_7_passed": false,
520
+ "gate_8_passed": false,
521
+ "gate_9_passed": false,
522
+ "gate_10_passed": false,
523
+ "gate_11_passed": false,
524
+ "gate_12_passed": false,
525
+ "gate_13_passed": false,
526
+ "gate_14_passed": false,
527
+ "gate_15_passed": false,
528
+ "gate_16_passed": false,
529
+ "gate_17_passed": false,
530
+ "gate_18_passed": false,
531
+ "gate_19_passed": false,
532
+ "gate_20_passed": false,
533
+ "gate_21_passed": false,
534
+ "gate_22_passed": false,
535
+ "gate_23_passed": false,
536
+ "gate_24_passed": false,
537
+ "gate_25_passed": false,
538
+ "gate_26_passed": false,
539
+ "gate_27_passed": false,
540
+ "gate_28_passed": false,
541
+ "gate_29_passed": false,
542
+ "gate_30_passed": false,
543
+ "gate_31_passed": false,
544
+ "gate_32_passed": false,
545
+ "finish_crossed": false
546
+ },
547
+ "phenomena": [
548
+ {
549
+ "cat": "全身",
550
+ "item": "平衡",
551
+ "t": 7.2,
552
+ "log_step": null,
553
+ "evidence_zh": "观察:视频7.0 s机器人尚由雪板支承;视频7.2 s上身明显倒向一侧,视频7.4–7.56 s躯干迅速降低并接近横卧雪面,未能恢复直立,视频随即结束。"
554
+ }
555
+ ],
556
+ "root_causes": [
557
+ {
558
+ "cat": "控制",
559
+ "item": "控制",
560
+ "t": 7.2,
561
+ "log_step": 122,
562
+ "evidence_zh": "推断:log step 122的最终脚本用双髋yaw、腰roll和踝roll联合实现入门转向,并用骨盆IMU构造侧倾反馈;log step 124运行该版脚本。视频5.2–7.56 s显示机器人在起点附近调整姿态后倾倒,说明该次起滑及转向的关节控制未维持身体支撑。agent在log step 128自述“steep lead-in yaw tipped Ep6”,与倒下方向相容,但没有逐步控制输出验证具体参数,故仅归控制大类。",
563
+ "source_zh": "日志"
564
+ }
565
+ ],
566
+ "gap_zh": "没有状态日志;第6回合后台运行的逐步控制输出、最终outcome及stages_reached没有出现在可用日志中,评分字段也未报告gates、speed_m_s、time_s,三项原生指标均保留null。固定远景足以确认机器人始终在起点附近并倾倒,但不足以分辨首先触雪的具体身体部位;最终脚本中段在日志内被截断,无法核实倾倒由转向幅度、接触配置或反馈增益中的哪一项引起,不把agent对第6回合的自述当作已验证参数归因。"
567
+ },
568
+ "summary_zh": "受评的是最后第6回合:机器人在起点红线及黑色拱架附近起滑、调整雪板姿态,尚未到达第1门,33个节点最终均未完成;agent自述第5回合过门属于早先试跑。视频约7.2 s机器人失衡,末帧视频7.56 s躯干已倒向雪面,断在通���第1门,根因保守归为控制。缺少状态日志及第6回合逐步控制、裁判分项终态,不能验证具体转向参数或反馈设计的责任。",
569
+ "conf": 8,
570
+ "review": {
571
+ "status": "agreed",
572
+ "rounds": 1,
573
+ "reviewers": [
574
+ {
575
+ "engine": "claude",
576
+ "model": "claude-sonnet-5-5",
577
+ "round": 1,
578
+ "verdict": "agree",
579
+ "conf": 7,
580
+ "summary_zh": "受评视频仅7.56 s,机器人始终在起点拱架附近,约视频7.2 s起失衡倒向雪面,未到第1门;33节点全false、断点gate_1、平衡现象、保守归控制均与帧相符,未见需改的错误。",
581
+ "n_issues": 0,
582
+ "n_major": 0
583
+ }
584
+ ],
585
+ "open_zh": []
586
+ },
587
+ "provenance": {
588
+ "prompt": "prompts/03_trajectory.md",
589
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
590
+ "engine": "codex",
591
+ "model": "gpt-6.1-sol",
592
+ "effort": "high",
593
+ "created": "2026-10-31T00:36:26Z",
594
+ "review_prompt": "prompts/04_trajectory_review.md",
595
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
596
+ "reconcile_prompt": "prompts/05_reconcile.md",
597
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
598
+ "calls": [
599
+ {
600
+ "stage": "traj",
601
+ "round": 0,
602
+ "ok": true,
603
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--dmfy7r6/03_label"
604
+ },
605
+ {
606
+ "stage": "traj_review",
607
+ "round": 1,
608
+ "ok": true,
609
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--dmfy7r6/04_review_r1"
610
+ }
611
+ ],
612
+ "review_engine": "claude",
613
+ "review_model": "claude-sonnet-5-5",
614
+ "inputs": {
615
+ "run_json_sha256": "24dde05240f7a37c613ba6ea352dfa908db4490c4c56fb3c3c605a621c2f6ed4",
616
+ "video_sha256": "9cf9bf8c87083113174a60cf2e1b20d71e2a779415bb8e30f8c4be9260fdf309",
617
+ "states_sha256": null,
618
+ "video_choice": "HF replay.mp4"
619
+ }
620
+ }
621
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--gamsbcf.json ADDED
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1
+ {
2
+ "schema": "efe-trajectory-labels/1",
3
+ "taxonomy": "v2",
4
+ "runId": "embodied-olympics-fun-alpine-slalom-i00-standard--gamsbcf",
5
+ "taskKey": "embodied-olympics-fun/alpine_slalom",
6
+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
7
+ "outcome": {
8
+ "success": 0,
9
+ "reward": 0.0,
10
+ "source": "catalog",
11
+ "raw": {
12
+ "success": 0,
13
+ "live_success": 0,
14
+ "graded_by_live": 1,
15
+ "replays": 0,
16
+ "live_rule": 1,
17
+ "live_verdict_error": 0,
18
+ "finalized": 1,
19
+ "missing_log": 0,
20
+ "infra_error": 0,
21
+ "grader_error": 0,
22
+ "sim_error": 0,
23
+ "sim_crashed_on_call": 0,
24
+ "instance_mismatch": 0,
25
+ "n_actions": 1110,
26
+ "sim_steps": 4514,
27
+ "calls": 85,
28
+ "rows": 1385,
29
+ "resets": 5,
30
+ "reset_budget": 5,
31
+ "sim_startups": 1,
32
+ "elapsed_s": 5969.6,
33
+ "video_rendered": 1,
34
+ "first_success": 0,
35
+ "first_reason_code": 2,
36
+ "resource_enforced": 0,
37
+ "limits_violation_observed": 0,
38
+ "resource_monitor_missing": 1,
39
+ "peak_gpu_memory_gb": 0.0,
40
+ "peak_memory_gb": 0.0,
41
+ "peak_processes": 0.0,
42
+ "peak_disk_gb": 0.0,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-standard--gamsbcf/replay.mp4",
52
+ "duration_s": 11.12,
53
+ "fps": 25.0,
54
+ "frames": 278,
55
+ "sha256": "4306eba7b07d633ac4f4451bb13efe9ff01259c760c6c2e8e97098b9d5fd744c"
56
+ },
57
+ "state": null,
58
+ "progress": {
59
+ "method": "visual",
60
+ "denominator": 33,
61
+ "base": 0,
62
+ "peak": 1,
63
+ "final": 1,
64
+ "nodes": {
65
+ "gate_1_passed": {
66
+ "method": "visual",
67
+ "intervals": [
68
+ [
69
+ 10.6,
70
+ null
71
+ ]
72
+ ],
73
+ "final": true,
74
+ "evidence": [
75
+ {
76
+ "t": 8.5,
77
+ "log_step": null,
78
+ "text_zh": "观察:视频全程抽帧及视频 1.5–8.5 s 的局部帧显示,机器人俯身用双手划撑雪面,双脚固定的雪板向前滑行并越过起点红线,随后逐渐站起。"
79
+ },
80
+ {
81
+ "t": 10.6,
82
+ "log_step": 250,
83
+ "text_zh": "推断:视频 10.2–10.9 s 的连续帧显示机器人从第一对红杆间滑向下坡侧;log step 250 的第六回合服务结果为 stages_reached=2、outcome=fell,两个原生阶段对应起滑和第1门,因此第1门已被裁判接受。首次达成约为视频 10.6 s,远景不能逐点辨认四个受检点,时刻约有0.2秒误差。log step 3 给出 control_dt=0.01,log step 214 的本回合 control_steps=1060 对应视频 10.60 s;log step 250 的1110步对应视频 11.10 s,已用末段倒地画面核对,未采用 agent 工作时间换算。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "支撑",
90
+ "note_zh": "双脚经固定雪板支承雪面,腿和躯干随雪板滑过起点并到达第1道门。"
91
+ },
92
+ {
93
+ "who": "双臂协作",
94
+ "how": "压/擦",
95
+ "note_zh": "起滑及接近坡面时,两手掌共同压在雪面上并反复向后划撑推进,随后收手站起;没有握住物体。"
96
+ }
97
+ ]
98
+ },
99
+ "gate_2_passed": {
100
+ "method": "visual",
101
+ "intervals": [],
102
+ "final": false,
103
+ "evidence": [
104
+ {
105
+ "t": 10.8,
106
+ "log_step": 215,
107
+ "text_zh": "观察:视频 10.6–11.08 s 显示机器人刚过第一道门后继续向下坡滑行并转向,随即侧倾倒下,未抵达下一对蓝杆的门线;log step 215 的控制脚本明确执行右转,log step 250 的第六回合服务结果仍只有 stages_reached=2,且 outcome=fell。"
108
+ }
109
+ ],
110
+ "contact_actual": [
111
+ {
112
+ "who": "腿/躯干",
113
+ "how": "支撑",
114
+ "note_zh": "双脚经雪板支承雪面,在向第2门转向滑行时支撑失稳,腿和躯干随后倒向雪面。"
115
+ }
116
+ ]
117
+ },
118
+ "gate_3_passed": {
119
+ "method": "visual",
120
+ "intervals": [],
121
+ "final": false,
122
+ "evidence": [
123
+ {
124
+ "t": 11.08,
125
+ "log_step": 250,
126
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第3道门未达成,且本回合未开始对该门的独立尝试。"
127
+ }
128
+ ]
129
+ },
130
+ "gate_4_passed": {
131
+ "method": "visual",
132
+ "intervals": [],
133
+ "final": false,
134
+ "evidence": [
135
+ {
136
+ "t": 11.08,
137
+ "log_step": 250,
138
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第4道门未达成,且本回合未开始对该门的独立尝试。"
139
+ }
140
+ ]
141
+ },
142
+ "gate_5_passed": {
143
+ "method": "visual",
144
+ "intervals": [],
145
+ "final": false,
146
+ "evidence": [
147
+ {
148
+ "t": 11.08,
149
+ "log_step": 250,
150
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第5道门未达成,且本回合未开始对该门的独立尝试。"
151
+ }
152
+ ]
153
+ },
154
+ "gate_6_passed": {
155
+ "method": "visual",
156
+ "intervals": [],
157
+ "final": false,
158
+ "evidence": [
159
+ {
160
+ "t": 11.08,
161
+ "log_step": 250,
162
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第6道门未达成,且本回合未开始对该门的独立尝试。"
163
+ }
164
+ ]
165
+ },
166
+ "gate_7_passed": {
167
+ "method": "visual",
168
+ "intervals": [],
169
+ "final": false,
170
+ "evidence": [
171
+ {
172
+ "t": 11.08,
173
+ "log_step": 250,
174
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第7道门未达成,且本回合未开始对该门的独立尝试。"
175
+ }
176
+ ]
177
+ },
178
+ "gate_8_passed": {
179
+ "method": "visual",
180
+ "intervals": [],
181
+ "final": false,
182
+ "evidence": [
183
+ {
184
+ "t": 11.08,
185
+ "log_step": 250,
186
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第8道门未达成,且本回合未开始对该门的独立尝试。"
187
+ }
188
+ ]
189
+ },
190
+ "gate_9_passed": {
191
+ "method": "visual",
192
+ "intervals": [],
193
+ "final": false,
194
+ "evidence": [
195
+ {
196
+ "t": 11.08,
197
+ "log_step": 250,
198
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第9道门未达成,且本回合未开始对该门的独立尝试。"
199
+ }
200
+ ]
201
+ },
202
+ "gate_10_passed": {
203
+ "method": "visual",
204
+ "intervals": [],
205
+ "final": false,
206
+ "evidence": [
207
+ {
208
+ "t": 11.08,
209
+ "log_step": 250,
210
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第10道门未达成,且本回合未开始对该门的独立尝试。"
211
+ }
212
+ ]
213
+ },
214
+ "gate_11_passed": {
215
+ "method": "visual",
216
+ "intervals": [],
217
+ "final": false,
218
+ "evidence": [
219
+ {
220
+ "t": 11.08,
221
+ "log_step": 250,
222
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第11道门未达成,且本回合未开始对该门的独立尝试。"
223
+ }
224
+ ]
225
+ },
226
+ "gate_12_passed": {
227
+ "method": "visual",
228
+ "intervals": [],
229
+ "final": false,
230
+ "evidence": [
231
+ {
232
+ "t": 11.08,
233
+ "log_step": 250,
234
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第12道门未达成,且本回合未开始对该门的独立尝试。"
235
+ }
236
+ ]
237
+ },
238
+ "gate_13_passed": {
239
+ "method": "visual",
240
+ "intervals": [],
241
+ "final": false,
242
+ "evidence": [
243
+ {
244
+ "t": 11.08,
245
+ "log_step": 250,
246
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第13道门未达成,且本回合未开始对该门的独立尝试。"
247
+ }
248
+ ]
249
+ },
250
+ "gate_14_passed": {
251
+ "method": "visual",
252
+ "intervals": [],
253
+ "final": false,
254
+ "evidence": [
255
+ {
256
+ "t": 11.08,
257
+ "log_step": 250,
258
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密���帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第14道门未达成,且本回合未开始对该门的独立尝试。"
259
+ }
260
+ ]
261
+ },
262
+ "gate_15_passed": {
263
+ "method": "visual",
264
+ "intervals": [],
265
+ "final": false,
266
+ "evidence": [
267
+ {
268
+ "t": 11.08,
269
+ "log_step": 250,
270
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第15道门未达成,且本回合未开始对该门的独立尝试。"
271
+ }
272
+ ]
273
+ },
274
+ "gate_16_passed": {
275
+ "method": "visual",
276
+ "intervals": [],
277
+ "final": false,
278
+ "evidence": [
279
+ {
280
+ "t": 11.08,
281
+ "log_step": 250,
282
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第16道门未达成,且本回合未开始对该门的独立尝试。"
283
+ }
284
+ ]
285
+ },
286
+ "gate_17_passed": {
287
+ "method": "visual",
288
+ "intervals": [],
289
+ "final": false,
290
+ "evidence": [
291
+ {
292
+ "t": 11.08,
293
+ "log_step": 250,
294
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第17道门未达成,且本回合未开始对该门的独立尝试。"
295
+ }
296
+ ]
297
+ },
298
+ "gate_18_passed": {
299
+ "method": "visual",
300
+ "intervals": [],
301
+ "final": false,
302
+ "evidence": [
303
+ {
304
+ "t": 11.08,
305
+ "log_step": 250,
306
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第18道门未达成,且本回合未开始对该门的独立尝试。"
307
+ }
308
+ ]
309
+ },
310
+ "gate_19_passed": {
311
+ "method": "visual",
312
+ "intervals": [],
313
+ "final": false,
314
+ "evidence": [
315
+ {
316
+ "t": 11.08,
317
+ "log_step": 250,
318
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第19道门未达成,且本回合未开始对该门的独立尝试。"
319
+ }
320
+ ]
321
+ },
322
+ "gate_20_passed": {
323
+ "method": "visual",
324
+ "intervals": [],
325
+ "final": false,
326
+ "evidence": [
327
+ {
328
+ "t": 11.08,
329
+ "log_step": 250,
330
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第20道门未达成,且本回合未开始对该门的独立尝试。"
331
+ }
332
+ ]
333
+ },
334
+ "gate_21_passed": {
335
+ "method": "visual",
336
+ "intervals": [],
337
+ "final": false,
338
+ "evidence": [
339
+ {
340
+ "t": 11.08,
341
+ "log_step": 250,
342
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第21道门未达成,且本回合未开始对该门的独立尝试。"
343
+ }
344
+ ]
345
+ },
346
+ "gate_22_passed": {
347
+ "method": "visual",
348
+ "intervals": [],
349
+ "final": false,
350
+ "evidence": [
351
+ {
352
+ "t": 11.08,
353
+ "log_step": 250,
354
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第22道门未达成,且本回合未开始对该门的独立尝试。"
355
+ }
356
+ ]
357
+ },
358
+ "gate_23_passed": {
359
+ "method": "visual",
360
+ "intervals": [],
361
+ "final": false,
362
+ "evidence": [
363
+ {
364
+ "t": 11.08,
365
+ "log_step": 250,
366
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结��旗门必须依次通过,第23道门未达成,且本回合未开始对该门的独立尝试。"
367
+ }
368
+ ]
369
+ },
370
+ "gate_24_passed": {
371
+ "method": "visual",
372
+ "intervals": [],
373
+ "final": false,
374
+ "evidence": [
375
+ {
376
+ "t": 11.08,
377
+ "log_step": 250,
378
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第24道门未达成,且本回合未开始对该门的独立尝试。"
379
+ }
380
+ ]
381
+ },
382
+ "gate_25_passed": {
383
+ "method": "visual",
384
+ "intervals": [],
385
+ "final": false,
386
+ "evidence": [
387
+ {
388
+ "t": 11.08,
389
+ "log_step": 250,
390
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第25道门未达成,且本回合未开始对该门的独立尝试。"
391
+ }
392
+ ]
393
+ },
394
+ "gate_26_passed": {
395
+ "method": "visual",
396
+ "intervals": [],
397
+ "final": false,
398
+ "evidence": [
399
+ {
400
+ "t": 11.08,
401
+ "log_step": 250,
402
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第26道门未达成,且本回合未开始对该门的独立尝试。"
403
+ }
404
+ ]
405
+ },
406
+ "gate_27_passed": {
407
+ "method": "visual",
408
+ "intervals": [],
409
+ "final": false,
410
+ "evidence": [
411
+ {
412
+ "t": 11.08,
413
+ "log_step": 250,
414
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第27道门未达成,且本回合未开始对该门的独立尝试。"
415
+ }
416
+ ]
417
+ },
418
+ "gate_28_passed": {
419
+ "method": "visual",
420
+ "intervals": [],
421
+ "final": false,
422
+ "evidence": [
423
+ {
424
+ "t": 11.08,
425
+ "log_step": 250,
426
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第28道门未达成,且本回合未开始对该门的独立尝试。"
427
+ }
428
+ ]
429
+ },
430
+ "gate_29_passed": {
431
+ "method": "visual",
432
+ "intervals": [],
433
+ "final": false,
434
+ "evidence": [
435
+ {
436
+ "t": 11.08,
437
+ "log_step": 250,
438
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第29道门未达成,且本回合未开始对该门的独立尝试。"
439
+ }
440
+ ]
441
+ },
442
+ "gate_30_passed": {
443
+ "method": "visual",
444
+ "intervals": [],
445
+ "final": false,
446
+ "evidence": [
447
+ {
448
+ "t": 11.08,
449
+ "log_step": 250,
450
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第30道门未达成,且本回合未开始对该门的独立尝试。"
451
+ }
452
+ ]
453
+ },
454
+ "gate_31_passed": {
455
+ "method": "visual",
456
+ "intervals": [],
457
+ "final": false,
458
+ "evidence": [
459
+ {
460
+ "t": 11.08,
461
+ "log_step": 250,
462
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第31道门未达成,且本回合未开始对该门的独立尝试。"
463
+ }
464
+ ]
465
+ },
466
+ "gate_32_passed": {
467
+ "method": "visual",
468
+ "intervals": [],
469
+ "final": false,
470
+ "evidence": [
471
+ {
472
+ "t": 11.08,
473
+ "log_step": 250,
474
+ "text_zh": "推断:视频 0–11.08 s 的全程抽帧及末秒密集帧显示机器人只滑至首门下坡侧便倒地,没有继续滑向后段旗门;log step 250 的第六回合服务以 fell 结束且 stages_reached=2(起滑和第1门)。结合旗门必须依次通过,第32道门未达成,且本回合未开始对该门的独立尝试。"
475
+ }
476
+ ]
477
+ },
478
+ "finish_crossed": {
479
+ "method": "visual",
480
+ "intervals": [],
481
+ "final": false,
482
+ "evidence": [
483
+ {
484
+ "t": 11.08,
485
+ "log_step": 250,
486
+ "text_zh": "推断:视频 11.08 s 机器人倒在上段首门附近,未滑完整条赛道;log step 250 的第六回合实时服务以 fell 终结且 stages_reached=2,仅含起滑和第1门,因而第32门前置及越过终点均未达成。"
487
+ }
488
+ ]
489
+ }
490
+ },
491
+ "constraints": {}
492
+ },
493
+ "native_metrics": [
494
+ {
495
+ "name": "gates",
496
+ "unit": "count",
497
+ "threshold": 32,
498
+ "direction": "higher_better",
499
+ "value": null
500
+ },
501
+ {
502
+ "name": "speed_m_s",
503
+ "unit": "m/s",
504
+ "threshold": 0.1,
505
+ "direction": "higher_better",
506
+ "value": null
507
+ },
508
+ {
509
+ "name": "time_s",
510
+ "unit": "s",
511
+ "threshold": null,
512
+ "direction": "lower_better",
513
+ "value": null
514
+ }
515
+ ],
516
+ "failure": {
517
+ "breakpoint": {
518
+ "ref": "gate_2_passed",
519
+ "t": 10.8,
520
+ "log_step": 215,
521
+ "where": "操作中",
522
+ "evidence_zh": "观察:视频 10.6 s 左右机器人滑过首门后仍在向下一门转向行进;视频 10.8–11.08 s 其身体明显侧倒,最终横躺在雪面上,没有恢复。log step 215 执行向第2门的右转,log step 237、250 两次恢复动作后,第六回合服务在1110控制步报告 done=True、reason=failed、outcome=fell、stages_reached=2;失败发生在第2门行进过程中。"
523
+ },
524
+ "unmet": {
525
+ "gate_1_passed": true,
526
+ "gate_2_passed": false,
527
+ "gate_3_passed": false,
528
+ "gate_4_passed": false,
529
+ "gate_5_passed": false,
530
+ "gate_6_passed": false,
531
+ "gate_7_passed": false,
532
+ "gate_8_passed": false,
533
+ "gate_9_passed": false,
534
+ "gate_10_passed": false,
535
+ "gate_11_passed": false,
536
+ "gate_12_passed": false,
537
+ "gate_13_passed": false,
538
+ "gate_14_passed": false,
539
+ "gate_15_passed": false,
540
+ "gate_16_passed": false,
541
+ "gate_17_passed": false,
542
+ "gate_18_passed": false,
543
+ "gate_19_passed": false,
544
+ "gate_20_passed": false,
545
+ "gate_21_passed": false,
546
+ "gate_22_passed": false,
547
+ "gate_23_passed": false,
548
+ "gate_24_passed": false,
549
+ "gate_25_passed": false,
550
+ "gate_26_passed": false,
551
+ "gate_27_passed": false,
552
+ "gate_28_passed": false,
553
+ "gate_29_passed": false,
554
+ "gate_30_passed": false,
555
+ "gate_31_passed": false,
556
+ "gate_32_passed": false,
557
+ "finish_crossed": false
558
+ },
559
+ "phenomena": [
560
+ {
561
+ "cat": "全身",
562
+ "item": "平衡",
563
+ "t": 10.8,
564
+ "log_step": 250,
565
+ "evidence_zh": "观察:视频 10.72–11.08 s 的密集帧中,机器人从站立滑行转为快速侧倾,最后全身倒向雪面;log step 250 的该回合服务结果为 outcome=fell,控制步1110后立即终结。"
566
+ }
567
+ ],
568
+ "root_causes": [
569
+ {
570
+ "cat": "控制",
571
+ "item": "控制",
572
+ "t": 10.8,
573
+ "log_step": 215,
574
+ "source_zh": "日志",
575
+ "evidence_zh": "推断:log step 214 的传感器换算在转弯前输出横滚约1.6度、偏航约42.3度;log step 215 的脚本随后用一段固定关节目标执行右转,段末换算横滚增至约27.7度、横滚角速度约4.17 rad/s。log step 237、250 再执行腿部外展与手臂恢复姿态,换算横滚仍继续增至约73.5度并最终倒地,与视频 10.8–11.08 s 一致,说明转向和随后的姿态恢复控制未能维持滑行支撑。现有证据不能分清雪板接触设计与姿态跟踪的具体贡献,故仅标控制大类。"
576
+ }
577
+ ],
578
+ "gap_zh": "没有逐帧状态或接触力日志,固定远景中的双脚、板尖与杆线过小,首门达成依本回合裁判阶段数和画面联合判断,约定位于视频 10.6 s。agent 在 log step 254 自述右雪板卡刃,但画面及现有日志不能独立确定具体刃面接触,未将其作为已证实机制;run.json 的 reward 未报告 gates、speed_m_s 或 time_s 原生指标,三项值保留 null。"
579
+ },
580
+ "summary_zh": "评分视频对应最后的第六回合,机器人用双手划撑起滑后站起,约在视频 10.6 s 通过第1道门,最终完成1/33个节点。朝第2道门转向时,机器人在视频 10.8 s 左右开始明显侧倒,恢复动作未能稳定身体,服务在视频约 11.1 s 对应的控制步判定摔倒终结。没有逐帧状态日志,首门时刻由画面及该回合裁判阶段数联合定位,具体雪板刃接触机制不能确认。",
581
+ "conf": 8,
582
+ "review": {
583
+ "status": "agreed",
584
+ "rounds": 1,
585
+ "reviewers": [
586
+ {
587
+ "engine": "claude",
588
+ "model": "claude-sonnet-5-5",
589
+ "round": 1,
590
+ "verdict": "agree",
591
+ "conf": 7,
592
+ "summary_zh": "标签与视频、日志一致:第六回合裁判 stages_reached=2(起点+第1门),视频 10.6 s 机器人已在首门下坡侧,10.8–11.08 s 侧倒;断点 gate_2、现象平衡、根因控制(子类不明停在控制)均有证据支持,未发现需改内容的错误。",
593
+ "n_issues": 0,
594
+ "n_major": 0
595
+ }
596
+ ],
597
+ "open_zh": []
598
+ },
599
+ "provenance": {
600
+ "prompt": "prompts/03_trajectory.md",
601
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
602
+ "engine": "codex",
603
+ "model": "gpt-6.1-sol",
604
+ "effort": "high",
605
+ "created": "2026-10-31T00:40:55Z",
606
+ "review_prompt": "prompts/04_trajectory_review.md",
607
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
608
+ "reconcile_prompt": "prompts/05_reconcile.md",
609
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
610
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+ "text_zh": "观察:log step 123 启动最后的第六回合;视频 0.0 s 机器人双脚固定雪板站在黑色起点拱架旁,随后自行屈膝迈动并向下坡移动。"
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+ },
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+ {
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+ "t": 7.72,
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+ "log_step": 124,
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+ "text_zh": "观察:视频 5.0–7.72 s 机器人从起点红线附近向坡内移动,尚远离下坡第一对旗杆,就倾倒在起点拱架下坡侧;全片未穿过第一道红色旗门。log step 124 的第六回合服务裁判输出 RESULT failed fell 1 / 34(原生阶段含起点),与画面一致,不能把起点阶段当作首门完成。"
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+ "contact_actual": [
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+ "who": "腿/躯干",
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+ "how": "支撑",
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+ "note_zh": "观察:视频 0.0–7.4 s 机器人双脚经固定雪板支承雪面,屈膝、迈动并向坡内滑移;视频 7.52–7.72 s 身体倾倒,未到首门。"
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+ "gate_2_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ {
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+ "t": 7.72,
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+ "log_step": 124,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第2门的顺序前置未满足,本回合未尝试也未完成第2门。"
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+ "method": "visual",
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+ "final": false,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第3门的顺序前置未满足,本回合未尝试也未完成第3门。"
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第5门的顺序前置未满足,本回合未尝试也未完成第5门。"
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第8门的顺序前置未满足,本回合未尝试也未完成第8门。"
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第9门的顺序前置未满足,本回合未尝试也未完成第9门。"
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+ "gate_10_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "log_step": 124,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第10门的顺序前置未满足,本回合未尝试也未完成第10门。"
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第11门的顺序前置未满足,本回合未尝试也未完成第11门。"
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ "log_step": 124,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第12门的顺序前置未满足,本回合未尝试也未完成第12门。"
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+ "method": "visual",
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+ "final": false,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第13门的顺序前置未满足,本回合未尝试也未完成第13门。"
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+ "gate_14_passed": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ "t": 7.72,
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+ "log_step": 124,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第14门的顺序前置未满足,本回合未尝试也未完成第14门。"
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "log_step": 124,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第15门的顺序前置未满足,本回合未尝试也未完成第15门。"
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第16门的顺序前置未满足,本回合未尝试也未完成第16门。"
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ "log_step": 124,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第17门的顺序前置未满足,本回合未尝试也未完成第17门。"
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+ "method": "visual",
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+ "final": false,
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+ "log_step": 124,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第18门的顺序前置未满足,本回合未尝试也未完成第18门。"
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第19门的顺序前置未满足,本回合未尝试也未完成第19门。"
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+ "intervals": [],
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第20门的顺序前置未满足,本回合未尝试也未完成第20门。"
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+ "intervals": [],
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+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第21门的顺序前置未满足,本回合未尝试也未完成第21门。"
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+ "log_step": 124,
337
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第22门的顺序前置未满足,本回合未尝试也未完成第22门。"
338
+ }
339
+ ]
340
+ },
341
+ "gate_23_passed": {
342
+ "method": "visual",
343
+ "intervals": [],
344
+ "final": false,
345
+ "evidence": [
346
+ {
347
+ "t": 7.72,
348
+ "log_step": 124,
349
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第23门的顺序前置未满足,本回合未尝试也未完成第23门。"
350
+ }
351
+ ]
352
+ },
353
+ "gate_24_passed": {
354
+ "method": "visual",
355
+ "intervals": [],
356
+ "final": false,
357
+ "evidence": [
358
+ {
359
+ "t": 7.72,
360
+ "log_step": 124,
361
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第24门的顺序前置未满足,本回合未尝试也未完成第24门。"
362
+ }
363
+ ]
364
+ },
365
+ "gate_25_passed": {
366
+ "method": "visual",
367
+ "intervals": [],
368
+ "final": false,
369
+ "evidence": [
370
+ {
371
+ "t": 7.72,
372
+ "log_step": 124,
373
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第25门的顺序前置未满足,本回合未尝试也未完成第25门。"
374
+ }
375
+ ]
376
+ },
377
+ "gate_26_passed": {
378
+ "method": "visual",
379
+ "intervals": [],
380
+ "final": false,
381
+ "evidence": [
382
+ {
383
+ "t": 7.72,
384
+ "log_step": 124,
385
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第26门的顺序前置未满足,本回合未尝试也未完成第26门。"
386
+ }
387
+ ]
388
+ },
389
+ "gate_27_passed": {
390
+ "method": "visual",
391
+ "intervals": [],
392
+ "final": false,
393
+ "evidence": [
394
+ {
395
+ "t": 7.72,
396
+ "log_step": 124,
397
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第27门的顺序前置未满足,本回合未尝试也未完成第27门。"
398
+ }
399
+ ]
400
+ },
401
+ "gate_28_passed": {
402
+ "method": "visual",
403
+ "intervals": [],
404
+ "final": false,
405
+ "evidence": [
406
+ {
407
+ "t": 7.72,
408
+ "log_step": 124,
409
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第28门的顺序前置未满足,本回合未尝试也未完成第28门。"
410
+ }
411
+ ]
412
+ },
413
+ "gate_29_passed": {
414
+ "method": "visual",
415
+ "intervals": [],
416
+ "final": false,
417
+ "evidence": [
418
+ {
419
+ "t": 7.72,
420
+ "log_step": 124,
421
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第29门的顺序前置未满足,本回合未尝试也未完成第29门。"
422
+ }
423
+ ]
424
+ },
425
+ "gate_30_passed": {
426
+ "method": "visual",
427
+ "intervals": [],
428
+ "final": false,
429
+ "evidence": [
430
+ {
431
+ "t": 7.72,
432
+ "log_step": 124,
433
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第30门的顺序前置未满足,本回合未尝试也未完成第30门。"
434
+ }
435
+ ]
436
+ },
437
+ "gate_31_passed": {
438
+ "method": "visual",
439
+ "intervals": [],
440
+ "final": false,
441
+ "evidence": [
442
+ {
443
+ "t": 7.72,
444
+ "log_step": 124,
445
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第31门的顺序前置未满足,本回合未尝试也未完成第31门。"
446
+ }
447
+ ]
448
+ },
449
+ "gate_32_passed": {
450
+ "method": "visual",
451
+ "intervals": [],
452
+ "final": false,
453
+ "evidence": [
454
+ {
455
+ "t": 7.72,
456
+ "log_step": 124,
457
+ "text_zh": "观察:视频 0.0–7.72 s 机器人只在起点红线附近活动并于末段倒下,未到第一对旗杆;log step 124 的第六回合服务结果为 failed fell、原生阶段 1/34。推断:第一门未通过,且第32门的顺序前置未满足,本回合未尝试也未完成第32门。"
458
+ }
459
+ ]
460
+ },
461
+ "finish_crossed": {
462
+ "method": "visual",
463
+ "intervals": [],
464
+ "final": false,
465
+ "evidence": [
466
+ {
467
+ "t": 7.72,
468
+ "log_step": 124,
469
+ "text_zh": "观察:视频 0.0–7.72 s 机器人始终在起点附近,最后倾倒,未向终点区域滑行;log step 124 服务裁判返回第六回合 failed fell、原生阶段 1/34。推断:首门及后续门均未完成,越过终点所需的32门前置未满足,终点节点从未成立。"
470
+ }
471
+ ]
472
+ }
473
+ },
474
+ "constraints": {}
475
+ },
476
+ "native_metrics": [
477
+ {
478
+ "name": "gates",
479
+ "unit": "count",
480
+ "threshold": 32,
481
+ "direction": "higher_better",
482
+ "value": null
483
+ },
484
+ {
485
+ "name": "speed_m_s",
486
+ "unit": "m/s",
487
+ "threshold": 0.1,
488
+ "direction": "higher_better",
489
+ "value": null
490
+ },
491
+ {
492
+ "name": "time_s",
493
+ "unit": "s",
494
+ "threshold": null,
495
+ "direction": "lower_better",
496
+ "value": null
497
+ }
498
+ ],
499
+ "failure": {
500
+ "breakpoint": {
501
+ "ref": "gate_1_passed",
502
+ "t": 7.4,
503
+ "log_step": 124,
504
+ "where": "操作中",
505
+ "evidence_zh": "观察:视频 5.0–7.4 s 机器人正自行离开起点并滑向首门方向,视频 7.44–7.72 s 躯干迅速降低并倾倒在雪面,尚未到第一对旗杆;log step 124 第六回合服务裁判返回 fell、阶段 1/34 并终结。推断:起滑属于首门验收的一部分,首次未修复失败发生于首门行进过程中。"
506
+ },
507
+ "unmet": {
508
+ "gate_1_passed": false,
509
+ "gate_2_passed": false,
510
+ "gate_3_passed": false,
511
+ "gate_4_passed": false,
512
+ "gate_5_passed": false,
513
+ "gate_6_passed": false,
514
+ "gate_7_passed": false,
515
+ "gate_8_passed": false,
516
+ "gate_9_passed": false,
517
+ "gate_10_passed": false,
518
+ "gate_11_passed": false,
519
+ "gate_12_passed": false,
520
+ "gate_13_passed": false,
521
+ "gate_14_passed": false,
522
+ "gate_15_passed": false,
523
+ "gate_16_passed": false,
524
+ "gate_17_passed": false,
525
+ "gate_18_passed": false,
526
+ "gate_19_passed": false,
527
+ "gate_20_passed": false,
528
+ "gate_21_passed": false,
529
+ "gate_22_passed": false,
530
+ "gate_23_passed": false,
531
+ "gate_24_passed": false,
532
+ "gate_25_passed": false,
533
+ "gate_26_passed": false,
534
+ "gate_27_passed": false,
535
+ "gate_28_passed": false,
536
+ "gate_29_passed": false,
537
+ "gate_30_passed": false,
538
+ "gate_31_passed": false,
539
+ "gate_32_passed": false,
540
+ "finish_crossed": false
541
+ },
542
+ "phenomena": [
543
+ {
544
+ "cat": "全身",
545
+ "item": "平衡",
546
+ "t": 7.4,
547
+ "log_step": 124,
548
+ "evidence_zh": "观察:视频 7.12–7.44 s 机器人屈身滑移,视频 7.52–7.72 s 上身大幅倾斜、身体塌向雪面,未恢复站立;log step 124 服务裁判明确给出第六回合 outcome=fell,结束时仅起点阶段成立。"
549
+ }
550
+ ],
551
+ "root_causes": [
552
+ {
553
+ "cat": "控制",
554
+ "item": "控制",
555
+ "log_step": 118,
556
+ "evidence_zh": "观察:log step 118 的最终控制修改保留 walk 起步,再按估计行程、俯仰或侧倾阈值切换到 joints 滑行控制,每批20个0.01 s控制步;log step 125 对第六回合的实际记录显示先34批 walk、后5批 glide,滑行控制开始时脚本记录的坡面俯仰为-0.409 rad,随后明显变大;视频 6.8–7.72 s 可见切换附近姿态变化后机器人倾倒。推断:起步到滑行的全身姿态控制未能稳定机器人,切换后的控制也未恢复平衡;证据足以归于控制,不能唯一确定错误增益、姿态估计还是切换阈值。",
557
+ "source_zh": "日志 / 视频"
558
+ }
559
+ ],
560
+ "gap_zh": "没有逐帧仿真状态或接触力日志,固定远景只能确认起点附近运动及倾倒,不能分辨最先触雪的具体身体部位,亦不能独立验证 agent 关于后仰触发过晚及雪板打滑的详细解释;根因保留在控制大类。run.json 的 reward 未报告 gates、speed_m_s、time_s 三项原生指标值,均记为 null。前五回合仅为会话测试,未计入本次进度。"
561
+ },
562
+ "summary_zh": "受评的是最后的第六回合:机器人自行起滑,服务裁判原生阶段为1/34(仅起点),但尚未到首门即在视频约7.5 s倾倒,DAG的32门与终点共33个节点均未完成。断点为通过第1门的操作中,现象为全身平衡失败;实际控制记录与画面支持起步至滑行的姿态控制未能保持稳定。无逐帧状态与接触力数据,无法进一步确定控制子类或最先触雪的部位。",
563
+ "conf": 8,
564
+ "review": {
565
+ "status": "agreed",
566
+ "rounds": 1,
567
+ "reviewers": [
568
+ {
569
+ "engine": "claude",
570
+ "model": "claude-sonnet-5-5",
571
+ "round": 1,
572
+ "verdict": "agree",
573
+ "conf": 8,
574
+ "summary_zh": "第六回合的标签与视频、log 一致:机器人越过起点红线后在第一对旗杆前倾倒,33 个节点均未达成,断点 gate_1_passed、现象平衡、根因控制(子类未定)均有证据支持;未发现需要修改的错误。",
575
+ "n_issues": 0,
576
+ "n_major": 0
577
+ }
578
+ ],
579
+ "open_zh": []
580
+ },
581
+ "provenance": {
582
+ "prompt": "prompts/03_trajectory.md",
583
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
584
+ "engine": "codex",
585
+ "model": "gpt-6.1-sol",
586
+ "effort": "high",
587
+ "created": "2026-10-31T00:47:50Z",
588
+ "review_prompt": "prompts/04_trajectory_review.md",
589
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
590
+ "reconcile_prompt": "prompts/05_reconcile.md",
591
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
592
+ "calls": [
593
+ {
594
+ "stage": "traj",
595
+ "round": 0,
596
+ "ok": true,
597
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--lmdrcez/03_label"
598
+ },
599
+ {
600
+ "stage": "traj_review",
601
+ "round": 1,
602
+ "ok": true,
603
+ "space": "work/runs/embodied-olympics-fun-alpine-slalom-i00-standard--lmdrcez/04_review_r1"
604
+ }
605
+ ],
606
+ "review_engine": "claude",
607
+ "review_model": "claude-sonnet-5-5",
608
+ "inputs": {
609
+ "run_json_sha256": "f99ddc0655f3e8d3e434b7efd10b98f48dc6f0250c3a87c712480d9e8c5b8922",
610
+ "video_sha256": "6db9391133871e1f0033b0f73da4ea1bcc919d25287a281f9f93c3e19144cfda",
611
+ "states_sha256": null,
612
+ "video_choice": "HF replay.mp4"
613
+ }
614
+ }
615
+ }
phase2/embodied-olympics-fun/alpine_slalom/trajectories/embodied-olympics-fun-alpine-slalom-i00-standard--sltxs7d.json ADDED
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1
+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-alpine-slalom-i00-standard--sltxs7d",
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+ "taskKey": "embodied-olympics-fun/alpine_slalom",
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+ "dag_sha256": "0382103c21732bd9a43317e1385d02d1f88b24ff2896d1d6062c6a895ff37a48",
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+ "outcome": {
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+ "success": 0,
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+ "reward": 0.0,
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+ "source": "catalog",
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+ "raw": {
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+ "success": 0,
13
+ "live_success": 0,
14
+ "graded_by_live": 1,
15
+ "replays": 0,
16
+ "live_rule": 1,
17
+ "live_verdict_error": 0,
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+ "finalized": 1,
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+ "missing_log": 0,
20
+ "infra_error": 0,
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+ "grader_error": 0,
22
+ "sim_error": 0,
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+ "sim_crashed_on_call": 0,
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+ "instance_mismatch": 0,
25
+ "n_actions": 351,
26
+ "sim_steps": 6543,
27
+ "calls": 113,
28
+ "rows": 3616,
29
+ "resets": 5,
30
+ "reset_budget": 5,
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+ "sim_startups": 1,
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+ "elapsed_s": 2278.6,
33
+ "video_rendered": 1,
34
+ "first_success": 0,
35
+ "first_reason_code": 2,
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+ "resource_enforced": 0,
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+ "limits_violation_observed": 0,
38
+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0.0,
40
+ "peak_memory_gb": 0.225,
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+ "peak_processes": 11,
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+ "peak_disk_gb": 0.25,
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+ "resource_emergency_kills": 0,
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+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-alpine-slalom-i00-standard--sltxs7d/replay.mp4",
52
+ "duration_s": 3.52,
53
+ "fps": 25.0,
54
+ "frames": 88,
55
+ "sha256": "14b4b03a787251675a6eba257656fbdf55738cb98cadfff653bda32a4af15c77"
56
+ },
57
+ "state": null,
58
+ "progress": {
59
+ "method": "visual",
60
+ "denominator": 33,
61
+ "base": 0,
62
+ "peak": 0,
63
+ "final": 0,
64
+ "nodes": {
65
+ "gate_1_passed": {
66
+ "method": "visual",
67
+ "intervals": [],
68
+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 0.0,
72
+ "log_step": 108,
73
+ "text_zh": "观察:log step 108 启动最后一次重置后的受评回合;视频 0.00 s 机器人双脚固定雪板,站在黑色起点架旁的红线附近。"
74
+ },
75
+ {
76
+ "t": 3.48,
77
+ "log_step": 109,
78
+ "text_zh": "观察:视频 0.00–3.48 s 机器人仅在起点红线附近屈膝、倾斜,最后侧翻,始终未到远处第1道红色旗门;log step 109 的最终回合输出为 done=True、reason=failed、stages=0。首门未通过。"
79
+ }
80
+ ],
81
+ "contact_actual": [
82
+ {
83
+ "who": "腿/躯干",
84
+ "how": "支撑",
85
+ "note_zh": "观察:视频 0.00–3.48 s 双脚经固定雪板支承在起点雪面上,机器人屈膝并执行姿态扰动,随后躯干侧翻贴近雪面;没有滑至首门。"
86
+ }
87
+ ]
88
+ },
89
+ "gate_2_passed": {
90
+ "method": "visual",
91
+ "intervals": [],
92
+ "final": false,
93
+ "evidence": [
94
+ {
95
+ "t": 3.48,
96
+ "log_step": 109,
97
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第2道旗门也未达成。"
98
+ }
99
+ ]
100
+ },
101
+ "gate_3_passed": {
102
+ "method": "visual",
103
+ "intervals": [],
104
+ "final": false,
105
+ "evidence": [
106
+ {
107
+ "t": 3.48,
108
+ "log_step": 109,
109
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第3道旗门也未达成。"
110
+ }
111
+ ]
112
+ },
113
+ "gate_4_passed": {
114
+ "method": "visual",
115
+ "intervals": [],
116
+ "final": false,
117
+ "evidence": [
118
+ {
119
+ "t": 3.48,
120
+ "log_step": 109,
121
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第4道旗门也未达成。"
122
+ }
123
+ ]
124
+ },
125
+ "gate_5_passed": {
126
+ "method": "visual",
127
+ "intervals": [],
128
+ "final": false,
129
+ "evidence": [
130
+ {
131
+ "t": 3.48,
132
+ "log_step": 109,
133
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第5道旗门也未达成。"
134
+ }
135
+ ]
136
+ },
137
+ "gate_6_passed": {
138
+ "method": "visual",
139
+ "intervals": [],
140
+ "final": false,
141
+ "evidence": [
142
+ {
143
+ "t": 3.48,
144
+ "log_step": 109,
145
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第6道旗门也未达成。"
146
+ }
147
+ ]
148
+ },
149
+ "gate_7_passed": {
150
+ "method": "visual",
151
+ "intervals": [],
152
+ "final": false,
153
+ "evidence": [
154
+ {
155
+ "t": 3.48,
156
+ "log_step": 109,
157
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第7道旗门也未达成。"
158
+ }
159
+ ]
160
+ },
161
+ "gate_8_passed": {
162
+ "method": "visual",
163
+ "intervals": [],
164
+ "final": false,
165
+ "evidence": [
166
+ {
167
+ "t": 3.48,
168
+ "log_step": 109,
169
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第8道旗门也未达成。"
170
+ }
171
+ ]
172
+ },
173
+ "gate_9_passed": {
174
+ "method": "visual",
175
+ "intervals": [],
176
+ "final": false,
177
+ "evidence": [
178
+ {
179
+ "t": 3.48,
180
+ "log_step": 109,
181
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第9道旗门也未达成。"
182
+ }
183
+ ]
184
+ },
185
+ "gate_10_passed": {
186
+ "method": "visual",
187
+ "intervals": [],
188
+ "final": false,
189
+ "evidence": [
190
+ {
191
+ "t": 3.48,
192
+ "log_step": 109,
193
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第10道旗门也未达成。"
194
+ }
195
+ ]
196
+ },
197
+ "gate_11_passed": {
198
+ "method": "visual",
199
+ "intervals": [],
200
+ "final": false,
201
+ "evidence": [
202
+ {
203
+ "t": 3.48,
204
+ "log_step": 109,
205
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第11道旗门也未达成。"
206
+ }
207
+ ]
208
+ },
209
+ "gate_12_passed": {
210
+ "method": "visual",
211
+ "intervals": [],
212
+ "final": false,
213
+ "evidence": [
214
+ {
215
+ "t": 3.48,
216
+ "log_step": 109,
217
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第12道旗门也未达成。"
218
+ }
219
+ ]
220
+ },
221
+ "gate_13_passed": {
222
+ "method": "visual",
223
+ "intervals": [],
224
+ "final": false,
225
+ "evidence": [
226
+ {
227
+ "t": 3.48,
228
+ "log_step": 109,
229
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第13道旗门也未达成。"
230
+ }
231
+ ]
232
+ },
233
+ "gate_14_passed": {
234
+ "method": "visual",
235
+ "intervals": [],
236
+ "final": false,
237
+ "evidence": [
238
+ {
239
+ "t": 3.48,
240
+ "log_step": 109,
241
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第14道旗门也未达成。"
242
+ }
243
+ ]
244
+ },
245
+ "gate_15_passed": {
246
+ "method": "visual",
247
+ "intervals": [],
248
+ "final": false,
249
+ "evidence": [
250
+ {
251
+ "t": 3.48,
252
+ "log_step": 109,
253
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第15道旗门也未达成。"
254
+ }
255
+ ]
256
+ },
257
+ "gate_16_passed": {
258
+ "method": "visual",
259
+ "intervals": [],
260
+ "final": false,
261
+ "evidence": [
262
+ {
263
+ "t": 3.48,
264
+ "log_step": 109,
265
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第16道旗门也未达成。"
266
+ }
267
+ ]
268
+ },
269
+ "gate_17_passed": {
270
+ "method": "visual",
271
+ "intervals": [],
272
+ "final": false,
273
+ "evidence": [
274
+ {
275
+ "t": 3.48,
276
+ "log_step": 109,
277
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第17道旗门也未达成。"
278
+ }
279
+ ]
280
+ },
281
+ "gate_18_passed": {
282
+ "method": "visual",
283
+ "intervals": [],
284
+ "final": false,
285
+ "evidence": [
286
+ {
287
+ "t": 3.48,
288
+ "log_step": 109,
289
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第18道旗门也未达成。"
290
+ }
291
+ ]
292
+ },
293
+ "gate_19_passed": {
294
+ "method": "visual",
295
+ "intervals": [],
296
+ "final": false,
297
+ "evidence": [
298
+ {
299
+ "t": 3.48,
300
+ "log_step": 109,
301
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第19道旗门也未达成。"
302
+ }
303
+ ]
304
+ },
305
+ "gate_20_passed": {
306
+ "method": "visual",
307
+ "intervals": [],
308
+ "final": false,
309
+ "evidence": [
310
+ {
311
+ "t": 3.48,
312
+ "log_step": 109,
313
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第20道旗门也未达成。"
314
+ }
315
+ ]
316
+ },
317
+ "gate_21_passed": {
318
+ "method": "visual",
319
+ "intervals": [],
320
+ "final": false,
321
+ "evidence": [
322
+ {
323
+ "t": 3.48,
324
+ "log_step": 109,
325
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第21道旗门也未达成。"
326
+ }
327
+ ]
328
+ },
329
+ "gate_22_passed": {
330
+ "method": "visual",
331
+ "intervals": [],
332
+ "final": false,
333
+ "evidence": [
334
+ {
335
+ "t": 3.48,
336
+ "log_step": 109,
337
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第22道旗门也未达成。"
338
+ }
339
+ ]
340
+ },
341
+ "gate_23_passed": {
342
+ "method": "visual",
343
+ "intervals": [],
344
+ "final": false,
345
+ "evidence": [
346
+ {
347
+ "t": 3.48,
348
+ "log_step": 109,
349
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第23道旗门也未达成。"
350
+ }
351
+ ]
352
+ },
353
+ "gate_24_passed": {
354
+ "method": "visual",
355
+ "intervals": [],
356
+ "final": false,
357
+ "evidence": [
358
+ {
359
+ "t": 3.48,
360
+ "log_step": 109,
361
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第24道旗门也未达成。"
362
+ }
363
+ ]
364
+ },
365
+ "gate_25_passed": {
366
+ "method": "visual",
367
+ "intervals": [],
368
+ "final": false,
369
+ "evidence": [
370
+ {
371
+ "t": 3.48,
372
+ "log_step": 109,
373
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第25道旗门也未达成。"
374
+ }
375
+ ]
376
+ },
377
+ "gate_26_passed": {
378
+ "method": "visual",
379
+ "intervals": [],
380
+ "final": false,
381
+ "evidence": [
382
+ {
383
+ "t": 3.48,
384
+ "log_step": 109,
385
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第26道旗门也未达成。"
386
+ }
387
+ ]
388
+ },
389
+ "gate_27_passed": {
390
+ "method": "visual",
391
+ "intervals": [],
392
+ "final": false,
393
+ "evidence": [
394
+ {
395
+ "t": 3.48,
396
+ "log_step": 109,
397
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第27道旗门也未达成。"
398
+ }
399
+ ]
400
+ },
401
+ "gate_28_passed": {
402
+ "method": "visual",
403
+ "intervals": [],
404
+ "final": false,
405
+ "evidence": [
406
+ {
407
+ "t": 3.48,
408
+ "log_step": 109,
409
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第28道旗门也未达成。"
410
+ }
411
+ ]
412
+ },
413
+ "gate_29_passed": {
414
+ "method": "visual",
415
+ "intervals": [],
416
+ "final": false,
417
+ "evidence": [
418
+ {
419
+ "t": 3.48,
420
+ "log_step": 109,
421
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第29道旗门也未达成。"
422
+ }
423
+ ]
424
+ },
425
+ "gate_30_passed": {
426
+ "method": "visual",
427
+ "intervals": [],
428
+ "final": false,
429
+ "evidence": [
430
+ {
431
+ "t": 3.48,
432
+ "log_step": 109,
433
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第30道旗门也未达成。"
434
+ }
435
+ ]
436
+ },
437
+ "gate_31_passed": {
438
+ "method": "visual",
439
+ "intervals": [],
440
+ "final": false,
441
+ "evidence": [
442
+ {
443
+ "t": 3.48,
444
+ "log_step": 109,
445
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第31道旗门也未达成。"
446
+ }
447
+ ]
448
+ },
449
+ "gate_32_passed": {
450
+ "method": "visual",
451
+ "intervals": [],
452
+ "final": false,
453
+ "evidence": [
454
+ {
455
+ "t": 3.48,
456
+ "log_step": 109,
457
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,第32道旗门也未达成。"
458
+ }
459
+ ]
460
+ },
461
+ "finish_crossed": {
462
+ "method": "visual",
463
+ "intervals": [],
464
+ "final": false,
465
+ "evidence": [
466
+ {
467
+ "t": 3.48,
468
+ "log_step": 109,
469
+ "text_zh": "观察:视频 0.00–3.48 s 机器人一直位于起点架及红线附近,末尾侧翻,没有进入旗门区;log step 109 最终回合输出 stages=0、done=True。推断:首门从未通过,按有序过门前置条件,终点也未达成。"
470
+ }
471
+ ]
472
+ }
473
+ },
474
+ "constraints": {}
475
+ },
476
+ "native_metrics": [
477
+ {
478
+ "name": "gates",
479
+ "value": null,
480
+ "unit": "count",
481
+ "threshold": 32,
482
+ "direction": "higher_better"
483
+ },
484
+ {
485
+ "name": "speed_m_s",
486
+ "value": null,
487
+ "unit": "m/s",
488
+ "threshold": 0.1,
489
+ "direction": "higher_better"
490
+ },
491
+ {
492
+ "name": "time_s",
493
+ "value": null,
494
+ "unit": "s",
495
+ "threshold": null,
496
+ "direction": "lower_better"
497
+ }
498
+ ],
499
+ "failure": {
500
+ "breakpoint": {
501
+ "ref": "gate_1_passed",
502
+ "t": 3.2,
503
+ "log_step": 109,
504
+ "where": "探索",
505
+ "evidence_zh": "观察:视频约 3.00–3.48 s 机器人在起点红线附近持续侧倾并倒下,未到首门;log step 108–110 确认这是最后一次重置后的回合,服务返回 episode=6、done=True、reason=failed。log step 104 的脚本修改及 log step 109 的执行输出显示,机器人正在实际执行踝、髋关节脉冲以辨识姿态响应,尚未开始下坡过门。推断:这是受评回合内机器人自身的动力学试探,断在包含起滑验收的首门步骤,未被修复。"
506
+ },
507
+ "unmet": {
508
+ "gate_1_passed": false,
509
+ "gate_2_passed": false,
510
+ "gate_3_passed": false,
511
+ "gate_4_passed": false,
512
+ "gate_5_passed": false,
513
+ "gate_6_passed": false,
514
+ "gate_7_passed": false,
515
+ "gate_8_passed": false,
516
+ "gate_9_passed": false,
517
+ "gate_10_passed": false,
518
+ "gate_11_passed": false,
519
+ "gate_12_passed": false,
520
+ "gate_13_passed": false,
521
+ "gate_14_passed": false,
522
+ "gate_15_passed": false,
523
+ "gate_16_passed": false,
524
+ "gate_17_passed": false,
525
+ "gate_18_passed": false,
526
+ "gate_19_passed": false,
527
+ "gate_20_passed": false,
528
+ "gate_21_passed": false,
529
+ "gate_22_passed": false,
530
+ "gate_23_passed": false,
531
+ "gate_24_passed": false,
532
+ "gate_25_passed": false,
533
+ "gate_26_passed": false,
534
+ "gate_27_passed": false,
535
+ "gate_28_passed": false,
536
+ "gate_29_passed": false,
537
+ "gate_30_passed": false,
538
+ "gate_31_passed": false,
539
+ "gate_32_passed": false,
540
+ "finish_crossed": false
541
+ },
542
+ "phenomena": [
543
+ {
544
+ "cat": "全身",
545
+ "item": "平衡",
546
+ "t": 3.2,
547
+ "log_step": 109,
548
+ "evidence_zh": "观察:视频 2.52–3.48 s 密集帧显示机器人在起点附近侧倾逐渐加重,视频 3.32–3.48 s 躯干已接近横卧雪面;log step 109 的最终回合输出 roll=-1.336、done=True、reason=failed,log step 110 服务状态确认回合已结束。"
549
+ }
550
+ ],
551
+ "root_causes": [
552
+ {
553
+ "cat": "认知",
554
+ "item": "推理/规划",
555
+ "source_zh": "日志",
556
+ "evidence_zh": "观察:log step 104 的脚本先固定蹲姿,再依次发送 ankle_pitch、hip_roll、yaw_left、yaw_right 校准脉冲以确定随后控制环的符号;log step 108 启动最终受评回合,log step 109 输出四次校准响应,其中 hip_roll 的 dpitch=0.274、yaw_right 的 droll=-0.29,随后即输出 roll=-1.336���done=True、reason=failed、stages=0。视频 3.00–3.48 s 显示机器人在起点红线附近侧翻;agent 在 log step 126 自述校准时尚无平衡环,并认为应在闭环平衡下校准或跳过校准。推断:把开环扰动辨识安排在平衡反馈启动之前,使受评回合在滑行阶段前就因失衡结束,属于阶段顺序与策略选择不当;按 docs/03_trajectory.md Step 3.3 及 TAXONOMY_v2.md §3 的判别次序归推理/规划,没有独立证据另列已有反馈回路的跟踪失稳。"
557
+ }
558
+ ],
559
+ "gap_zh": "没有状态日志;固定远景虽能确认起点附近的侧翻与未过门,但不能分清首次触雪的具体机器人连杆、接触力及各校准脉冲的独立贡献。推理/规划归因是结合脚本顺序、实际执行输出和视频作出的推断,agent 自述仅为补充,未验证其提出的闭环校准或跳过校准方案能否成功;评分字段未报告 gates、speed_m_s、time_s 三项原生指标,故其 value 均保留 null。之前重置前的滑行与离线模拟测试不计入本次进度。"
560
+ },
561
+ "summary_zh": "受评的是 log step 108 启动的最后一次重置回合:视频 0.00–3.48 s 机器人始终留在起点红线附近,32道门及终点均未达到,最终进度为0/33。机器人在本回合内试探关节姿态响应时侧翻,断点为首门,现象为平衡;脚本把开环校准安排在平衡环启动之前,结合执行输出推断根因为认知·推理/规划。没有状态日志,不能进一步确认首次触雪连杆及具体脉冲的贡献。",
562
+ "conf": 8,
563
+ "review": {
564
+ "status": "agreed",
565
+ "rounds": 2,
566
+ "reviewers": [
567
+ {
568
+ "engine": "claude",
569
+ "model": "claude-sonnet-5-5",
570
+ "round": 1,
571
+ "verdict": "fix",
572
+ "conf": 6,
573
+ "summary_zh": "WHERE 标签(0/33、断点 gate_1、探索、平衡)与视频和日志相符:视频 0–3.48 s 机器人始终在起点红线附近并侧倾倒下。问题在根因:控制·反馈控制 跳过了判别次序,agent 是有意在无平衡环时做开环校准脉冲,这是跨阶段策略选择,应先考虑 认知·推理/规划。",
574
+ "n_issues": 1,
575
+ "n_major": 1
576
+ },
577
+ {
578
+ "engine": "claude",
579
+ "model": "claude-sonnet-5-5",
580
+ "round": 2,
581
+ "verdict": "agree",
582
+ "conf": 8,
583
+ "summary_zh": "0/33、断点 gate_1(探索)、现象平衡、根因推理/规划均与视频和日志相符;视频 0–3.48 s 机器人始终在起点红线附近并侧倾,log step 109 输出 roll=-1.336、reason=failed、stages=0,引用的 log step 编号(104/108/109/110/126)均存在且内容对应。未发现需要修改的错误。",
584
+ "n_issues": 0,
585
+ "n_major": 0
586
+ }
587
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588
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+ "provenance": {
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+ "effort": "high",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ "round": 1,
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+ "inputs": {
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ "log_step": null,
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+ "text_zh": "观察:视频0.0 s机器人双脚站在棕色板面上,板底由蓝色滚筒承托;视频0.2–4.4 s机器人摆动躯干和手臂,板体反复左右倾斜,仍在尝试维持脚部支撑。起点站立本身不满足持续30秒的事件判据。"
73
+ },
74
+ {
75
+ "t": 4.6,
76
+ "log_step": null,
77
+ "text_zh": "观察:视频4.60–4.88 s机器人躯干持续倾倒、头部迅速降低并落向蓝色垫面,未恢复站立;本次视频在4.92 s结束,未出现平衡持续至30秒的表现。"
78
+ },
79
+ {
80
+ "t": 4.88,
81
+ "log_step": 125,
82
+ "text_zh": "观察:log step 125对最终交付文件重新运行并用裁判重放,报告491行、仿真4.91 s结束、success=false、time_on_board_s=4.9,失败事件为仿真4.908 s头部触地;其状态散列与log step 66保存并重放的候选相同。视频4.88 s的倾倒终态与该结果一致;run.json的reward另报deterministic=1、replay_success=0。"
83
+ }
84
+ ],
85
+ "contact_actual": [
86
+ {
87
+ "who": "腿/躯干",
88
+ "how": "支撑",
89
+ "note_zh": "观察:视频0.0 s及0.2–4.6 s机器人以脚接触棕色板面承重,腿与躯干随板体倾斜而调整;手臂在空中摆动。视频4.60–4.88 s机器人逐渐倒下,log step 125最终交付重放的裁判事件报告头部触地。"
90
+ }
91
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92
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93
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+ "constraints": {}
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+ "failure": {
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+ "breakpoint": {
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+ "ref": "balanced_30s",
115
+ "t": 4.6,
116
+ "log_step": 125,
117
+ "where": "操作中",
118
+ "evidence_zh": "观察:机器人正在板上保持平衡,视频4.60–4.88 s躯干不断倾倒、头部降向垫面,此后没有恢复;log step 125最终交付文件的裁判重放报告仿真4.908 s头部触地并终止,实际计时4.9秒,未完成30秒。"
119
+ },
120
+ "phenomena": [
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+ {
122
+ "cat": "全身",
123
+ "item": "平衡",
124
+ "t": 4.6,
125
+ "log_step": 125,
126
+ "evidence_zh": "观察:视频4.60 s起机器人上身继续向板外倒下,视频4.80 s身体接近水平,视频4.88 s头部已降至垫面附近;log step 125最终文件的裁判重放明确报告头部触地。机器人失去全身平衡,未能恢复。"
127
+ }
128
+ ],
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+ "root_causes": [
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+ {
131
+ "cat": "控制",
132
+ "item": "反馈控制",
133
+ "t": 4.6,
134
+ "log_step": 68,
135
+ "source_zh": "日志",
136
+ "evidence_zh": "推断:生成交付动作的平衡反馈未能同时抑制板体晃动与机器人前后姿态漂移。log step 58的控制器代码以质心相对滚筒位置、板倾角和角速度反馈驱动髋滚转,并以踝俯仰反馈控制前后姿态;log step 66保存该候选且重放散列一致。log step 68对同一best6候选的诊断输出显示,髋滚转力矩反复达到约±138.9 N·m,仿真4.80–4.91 s的前向位移xp由0.701增至0.848 m、骨盆高度由0.482降至0.126 m;视频4.60–4.88 s也显示持续倾倒。log step 100、101、125确认最终生成器及交付文件仍复现该491行动作候选,故将其归为稳定控制不足,不据此指定某个增益错误。"
137
+ }
138
+ ],
139
+ "gap_zh": "未提供逐帧状态日志,25 fps视频不能量出接触力或排除每个物理步的瞬时接触;头部触地的精确部位与仿真时刻由log step 125最终交付文件的裁判事件补充。反馈控制归因结合控制器代码、同一候选的会话诊断与视频推断,尚不能定位具体错误增益或各控制通道的贡献。",
140
+ "unmet": {
141
+ "balanced_30s": false
142
+ }
143
+ },
144
+ "summary_zh": "机器人在滚筒板上以脚支撑并持续调整身体,但视频约4.6 s开始无法恢复地倾倒,最终交付文件的裁判重放报告头部触地,平衡计时仅4.9秒,“平衡满30秒”未达成(0/1)。同一候选的控制器代码和诊断记录支持反馈控制未能抑制前后漂移的判断;无逐帧状态日志,无法进一步确定具体增益及接触力原因。",
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+ "conf": 8,
146
+ "review": {
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+ "status": "agreed",
148
+ "rounds": 1,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 8,
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+ "summary_zh": "标注与视频、log一致:balanced_30s未达成,机器人在视频约4.4–4.9 s倒下,最终交付重放491行、4.91 s头部/触地失败,平衡·反馈控制归因已标为推断并有代码与诊断支持。",
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+ "n_issues": 0,
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+ "n_major": 0
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+ }
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+ ],
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "text_zh": "观察:视频0.00–0.40 s,机器人双脚在棕色板面上承重,腿部与躯干发生姿态调整,板面在蓝色滚筒上反复倾斜;这是已启动的平衡尝试。"
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+ "text_zh": "观察:视频 0.00–0.60 s,机器人已在棕色板面上,以双脚承重并调整腿、躯干姿态,蓝色滚筒在板下;随后视频 0.80–5.60 s 仍在板上进行平衡调整。已尝试本步骤,但尚未满足持续30秒的完成条件。"
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+ "text_zh": "观察:视频 5.60–6.72 s,机器人躯干侧倾,板相对蓝色滚筒移动,画面右侧板端向垫面下降;末帧机器人双脚仍在板上,录像随即结束。log step 422 对最终交付文件的回放由裁判报告 failed=\"the deck touched the floor\"、time_s=6.72、time_on_board_s=6.71,且这些指标与本次 reward 一致;未达到30秒。"
78
+ },
79
+ {
80
+ "t": 6.72,
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+ "log_step": 423,
82
+ "text_zh": "观察:log step 423 对同一最终文件的第二次新进程回放得到相同终态散列,reward.deterministic=1;log step 425 确认生成脚本逐元素复现672行动行。上述证据对应最终交付,不将会话中其他测试的存活时间或摔倒算入本次进度。"
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+ "contact_actual": [
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+ "who": "腿/躯干",
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+ "how": "支撑",
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+ "note_zh": "观察:视频 0.40–6.72 s,机器人的左右脚接触棕色板面承重,腿和躯干调整姿态;末帧双脚仍在板面上。"
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+ "log_step": 422,
117
+ "where": "操作中",
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+ "evidence_zh": "观察:视频 6.20–6.72 s,机器人仍在用脚支撑平衡板,躯干侧倾,板相对滚筒偏移且画面右侧板端下降。log step 422 中最终文件的裁判回放在仿真 6.72 s 因“the deck touched the floor”结束,time_on_board_s=6.71;该终止与视频末端动作及本次 reward 指标一致,本步骤未修复或完成。"
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128
+ "log_step": 422,
129
+ "evidence_zh": "观察:视频 6.20–6.72 s,机器人躯干倾斜,板相对蓝色滚筒偏移,画面右侧板端下沉;末帧双脚仍在板面上,未见机器人身体倒地。log step 422 对最终交付轨迹的裁判回放报告 failed=\"the deck touched the floor\"、仿真 time_s=6.72、time_on_board_s=6.71,与本次 reward 指标一致,reward.fell=0。推断:机器人未能保持板与滚筒支撑系统的平衡,板体失稳触地;此处平衡失败不等于机器人已经倒地。"
130
+ }
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+ ],
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+ "root_causes": [
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+ {
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+ "cat": "控制",
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+ "item": "反馈控制",
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+ "t": 6.7,
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+ "log_step": 409,
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+ "source_zh": "日志 / 视频",
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+ "evidence_zh": "推断:log step 267、333 的生成脚本及 log step 409 的最终候选搜索代码显示,agent 使用重心相对滚筒偏差、滚筒相对板偏移及板倾角反馈,调节双髋侧摆和腰侧摆,并叠加开局短暂偏置;log step 418、422 将选定候选写入生成脚本并生成最终672行文件。视频 5.60–6.72 s 中,该控制下的躯干侧倾、板与滚筒相对偏移仍继续发展,最终裁判报告板体触地。由控制代码和实际运动共同推断,平衡反馈未能抑制这一偏移并维持支撑系统稳定;未将某个具体增益认定为已证实的不当参数。"
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+ }
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+ "conf": 8,
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+ "status": "agreed",
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+ "rounds": 2,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "summary_zh": "节点值、断点、时钟均正确(balanced_30s 未达成,final=false,板触地由 log step 422 的裁判回放支持)。唯一问题:现象记为 约束·违反约束,但失败是板体失稳触地、失去平衡,按 TAXONOMY/DECISIONS S14 与 FAIL-2 应记 全身·平衡,不另记违反约束。",
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+ "summary_zh": "节点 balanced_30s 未达成、断点、现象(全身·平衡)、根因(反馈控制)及时钟均与视频和 log step 422 裁判回放一致,未发现需改动之处。",
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+ "text_zh": "观察:视频0.00–2.00 s按0.08 s间隔检查,机器人开局随板侧倾并调整躯干和手臂,双脚留在棕色板面上;视频0.32 s放大图可见脚底与板面接触、蓝色滚筒承托板底、板两端离地,手臂未触板。"
78
+ },
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+ {
80
+ "t": 30.0,
81
+ "log_step": null,
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+ "text_zh": "观察:视频0.00–30.00 s每秒抽帧,机器人始终站在滚筒板上,开局晃动后趋稳;视频29.00–30.00 s逐帧检查以及视频30.00 s放大图显示双脚仍支撑在板面上,滚筒仍承托板体,板端与地面有间隙,未见跌落或非脚部触板。满30秒的事件在视频30.00 s达成,此前不计为完成。"
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+ },
84
+ {
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+ "text_zh": "观察:log step 53中,评分器对最终保存的动作文件重放,返回success=true、failed=null、steps=3000、time_s=30.0(仿真秒),并达到10 s、20 s、30 s三阶段;inputs/run.json的reward另记录success=1、replay_success=1、deterministic=1、fell=0、metric_time_on_board_s=30.0和metric_max_tilt_deg=6.03。该验收结果与视频30.00 s仍在板上站立一致,支持无违规完成节点;未将agent工作时间换算为视频时间。"
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+ "who": "腿/躯干",
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+ "how": "支撑",
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+ "note_zh": "观察:视频0.00–2.00 s及视频29.00–30.00 s可见机器人双脚踩在棕色板面承重,腿与躯干随板的倾斜调整姿态;脚部支撑持续至视频30.00 s。手臂在身体两侧调姿,未见手部接触板或滚筒。"
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+ "summary_zh": "机器人在开局晃动后恢复较稳的站姿,以脚支撑在滚筒承托的板上,视频30.00 s完成唯一节点“平衡满30秒”,最终进度1/1,无失败断点。评分器记录成功且确定性重放通过,板上时间30.0 s、最大倾角6.03°,与视频末帧仍稳定站立一致。无状态日志,25 fps录像不能逐毫秒排除瞬时违规接触,完整接触历史由评分器成功结论补充支持。",
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+ "conf": 9,
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+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 8,
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+ "summary_zh": "唯一节点「平衡满30秒」在视频30.00 s达成、final=true,与评分器重放结果(success、3000步、time_s=30.0、fell=0)和视频帧一致;无失败断点,contact_actual(腿/躯干·支撑)与帧相符,时钟无换算。",
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+ "engine": "codex",
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+ {
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+ "text_zh": "观察:视频 0.0–2.0 s 的密集抽帧及视频 0.20–0.80 s 的逐帧检查显示,机器人随板左右倾斜并调整腿和躯干姿态;脚位于棕色板面,蓝色滚筒在板下,板端与垫面仍有间隙,未见跌落或手、膝触板。"
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+ {
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+ "log_step": null,
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+ "text_zh": "观察:视频 2.0–29.0 s 每秒抽帧显示机器人保持站在板上,双手垂在体侧,板由滚筒承托,板端悬于垫面上方。"
83
+ },
84
+ {
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+ "t": 30.0,
86
+ "log_step": null,
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+ "text_zh": "观察:视频 29.0–30.0 s 逐帧检查及视频 30.0 s 末帧显示,机器人仍以脚支撑在棕色板上,板下蓝色滚筒可见,板端离地;inputs/run.json 的 reward 记录 success=1、replay_success=1、deterministic=1、fell=0、metric_time_on_board_s=30.0,支持本节点在视频 30.0 s 达成。"
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+ "log_step": 170,
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+ "text_zh": "观察:log step 169 明确保留已验证的最大倾角 10.15° 轨迹;log step 170 的交付核对输出显示动作文件为 3000 行、两次新进程重放终态相同且重新生成的动作完全一致。此前调参失败属于其他会话尝试,不作为本次评分轨迹的失败。"
93
+ }
94
+ ],
95
+ "contact_actual": [
96
+ {
97
+ "who": "腿/躯干",
98
+ "how": "支撑",
99
+ "note_zh": "观察:视频 0.0 s、视频 2.0–30.0 s 所检帧中,机器人的脚底接触棕色板面,腿和躯干随开局板体晃动调整姿态,随后保持站立支撑;未见手臂接触板或滚筒。"
100
+ }
101
+ ]
102
+ }
103
+ },
104
+ "constraints": {}
105
+ },
106
+ "native_metrics": [
107
+ {
108
+ "name": "time_on_board_s",
109
+ "unit": "s",
110
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111
+ "direction": "higher_better",
112
+ "value": 30.0
113
+ },
114
+ {
115
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116
+ "unit": "deg",
117
+ "threshold": null,
118
+ "direction": "lower_better",
119
+ "value": 10.15
120
+ }
121
+ ],
122
+ "failure": null,
123
+ "summary_zh": "机器人在开局晃动后稳住,以脚支撑在蓝色滚筒承托的棕色板上,至视频 30.0 s 完成“平衡满30秒”,最终达成 1/1 个节点。评分器确认成功且重放一致,记录板上时间 30.0 s、最大板体倾角 10.15°,视频末秒逐帧检查未见跌落或板端触地。无状态日志,25 fps 录像无法独立排除每个物理步的瞬时接触,完整规则历史的通过依据评分器成功结果。",
124
+ "conf": 9,
125
+ "review": {
126
+ "status": "agreed",
127
+ "rounds": 1,
128
+ "reviewers": [
129
+ {
130
+ "engine": "claude",
131
+ "model": "claude-sonnet-5-5",
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+ "round": 1,
133
+ "verdict": "agree",
134
+ "conf": 9,
135
+ "summary_zh": "成功运行,balanced_30s 在视频 30.0 s 达成、contact_actual 为腿/躯干支撑,与帧和评分器字段一致,未发现需修改之处。",
136
+ "n_issues": 0,
137
+ "n_major": 0
138
+ }
139
+ ],
140
+ "open_zh": []
141
+ },
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:37:01Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "stage": "traj_review",
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-balance-board-i00-privileged--rkhcqbb/04_review_r1"
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+ {
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+ "raw": {
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+ "deterministic": 1,
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-balance-board-i00-privileged--umhjyt4/replay.mp4",
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+ "duration_s": 9.84,
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+ "intervals": [],
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+ "final": false,
68
+ "evidence": [
69
+ {
70
+ "t": 0.0,
71
+ "log_step": null,
72
+ "text_zh": "观察:视频开局机器人双脚已站在棕色板面上,板底由蓝色滚筒承托;视频全程粗看并密看视频8.40–9.80 s,机器人先以脚支撑、摆臂及调整腿部姿态维持平衡,末段倾倒离板,未出现持续至30秒的完成状态。"
73
+ },
74
+ {
75
+ "t": 9.8,
76
+ "log_step": 669,
77
+ "text_zh": "观察:视频9.40–9.80 s机器人躯干快速倾斜下降,视频9.72–9.80 s已翻倒在板侧。log step 668明确重放最终交付文件,log step 669裁判输出success=false、983个动作、time_on_board_s=9.82,触地事件为仿真9.822 s的left_upper_arm;与本视频9.84 s内的跌落相符,且与log step 507的重放末态散列一致。推断:未满30秒即身体触地,本节点从未达成。"
78
+ }
79
+ ],
80
+ "contact_actual": [
81
+ {
82
+ "who": "腿/躯干",
83
+ "how": "支撑",
84
+ "note_zh": "观察:视频开局至末段跌落前,机器人以双脚或交替脚接触棕色板面承重,腿与躯干调整姿态,手臂在空中摆动;视频9.52–9.80 s支撑丧失并离板倾倒。"
85
+ }
86
+ ]
87
+ }
88
+ },
89
+ "constraints": {}
90
+ },
91
+ "native_metrics": [
92
+ {
93
+ "name": "time_on_board_s",
94
+ "unit": "s",
95
+ "threshold": 30.0,
96
+ "direction": "higher_better",
97
+ "value": 9.82
98
+ },
99
+ {
100
+ "name": "max_tilt_deg",
101
+ "unit": "deg",
102
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104
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105
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106
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+ "failure": {
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+ "breakpoint": {
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+ "ref": "balanced_30s",
110
+ "t": 9.5,
111
+ "log_step": 669,
112
+ "where": "操作中",
113
+ "evidence_zh": "观察:视频9.40–9.68 s机器人在板上维持平衡时躯干倾斜并迅速下坠,视频9.72–9.80 s身体翻倒离板,之后没有恢复。log step 669对最终交付文件的裁判重放报告仿真9.822 s左上臂触地并终止;机器人在平衡满30秒这一步操作中失败。"
114
+ },
115
+ "unmet": {
116
+ "balanced_30s": false
117
+ },
118
+ "phenomena": [
119
+ {
120
+ "cat": "全身",
121
+ "item": "平衡",
122
+ "t": 9.5,
123
+ "log_step": 669,
124
+ "evidence_zh": "观察:视频9.40–9.80 s机器人躯干偏倒、髋部下降,脚失去板上支撑,整机翻倒到板侧地面;log step 669的最终文件重放明确报告left_upper_arm触地。此处可见整机失衡跌落。"
125
+ }
126
+ ],
127
+ "root_causes": [
128
+ {
129
+ "cat": "控制",
130
+ "item": "控制",
131
+ "evidence_zh": "推断:log step 504展示生成并保存交付轨迹的控制脚本:先用腿部支撑力矩调度,再用walk_agile根据板倾角与骨盆位置调整侧向命令,之后切换walk及run_arms;后段使用预设侧向和转向命令。log step 667确认保留同一生成方案,log step 669确认交付文件可确定性重放,却仍在仿真9.822 s左上臂触地;结合视频9.40–9.80 s的倾倒,所用全身控制未能维持板上支撑和躯干稳定。证据支持控制层归因,尚不能确定更细子类。",
132
+ "source_zh": "日志 / 视频"
133
+ }
134
+ ],
135
+ "gap_zh": "未提供状态日志;视频为25 fps的单一场馆视角,不能独立核实毫秒级接触及各关节力矩、足底滑移。左上臂这一具体触地部位依据最终交付文件的裁判重放事件(log step 669),视频支持整体跌落;控制根因无法进一步细分为反馈、轨迹或特定参数问题。"
136
+ },
137
+ "summary_zh": "机器人以脚支撑滚筒上的板并进行姿态调节,评分器记录在板时间9.82秒,“平衡满30秒”未达成,最终0/1节点。视频约9.5秒开始明显倾倒,最终交付文件重放确认左上臂触地;现象为全身失衡,归因于所用控制方案未维持稳定。没有状态日志,无法进一步确定具体关节或接触力层面的原因。",
138
+ "conf": 8,
139
+ "review": {
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+ "status": "agreed",
141
+ "rounds": 1,
142
+ "reviewers": [
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+ {
144
+ "engine": "claude",
145
+ "model": "claude-sonnet-5-5",
146
+ "round": 1,
147
+ "verdict": "agree",
148
+ "conf": 8,
149
+ "summary_zh": "节点未达成、断点、平衡现象与控制根因均有视频与log 669裁判重放支持,未发现需改动的错误。",
150
+ "n_issues": 0,
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+ "n_major": 0
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+ ],
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "created": "2026-10-31T00:32:27Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "10ff50150c1395affff167cc432a569b63d2c30e42d381980f0e292662782071",
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+ "video_sha256": "c4fcd8009a98f98a045e715f1e61116a1c632487849e10397556dcf3790763ac",
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+ "states_sha256": null,
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+ "taskKey": "embodied-olympics-fun/balance_board",
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+ "dag_sha256": "33a43b602711eb1f0ce8accf150479b69fb8b84456d1d75783d478a23c0f1d05",
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+ "outcome": {
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+ "source": "catalog",
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+ "stages_total": 3,
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+ "fell": 0,
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+ "replay_s": 5.42,
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+ "metric_max_tilt_deg": 24.75,
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+ "metric_time_on_board_s": 4.13,
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+ "grader_error": 0,
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+ "agent_sessions": 42,
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+ "agent_resets": 477,
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+ "peak_memory_gb": 0.738,
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+ },
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+ "video": {
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-balance-board-i00-privileged--xnvwy57/replay.mp4",
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+ "duration_s": 4.16,
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+ "fps": 25.0,
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+ "frames": 104,
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+ "sha256": "b96c6319c5898026bbec9d0b67204370177e0e2091b32ef26089e83f0785a18a"
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+ },
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+ "state": null,
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+ "denominator": 1,
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+ "nodes": {
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+ "final": false,
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+ "evidence": [
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+ {
70
+ "t": 0.0,
71
+ "log_step": null,
72
+ "text_zh": "观察:视频 0.00–3.20 s,机器人以双脚支撑在棕色板面上,板下由蓝色滚筒承托;机器人有摆臂和躯干倾斜,确实开始了持续平衡尝试。"
73
+ },
74
+ {
75
+ "t": 3.8,
76
+ "log_step": 66,
77
+ "text_zh": "观察:视频 3.60–3.96 s,板向画面左侧下倾加剧,机器人躯干同时向左倾倒;视频 4.00–4.12 s,躯干继续倒向接近横卧,双脚不再保持正常站立支撑,录像在视频 4.16 s 结束。log step 66 的脚本执行后保存轨迹,仿真 4.14 s 的裁判反馈为“fell on the board”;其持续时长与动作外观符合评分视频。"
78
+ },
79
+ {
80
+ "t": 4.12,
81
+ "log_step": null,
82
+ "text_zh": "推断:评分器 reward.metric_time_on_board_s=4.13,且视频 4.12 s 已见机器人倒向板旁,持续时间远未达到仿真 30.0 s;结合完整视频中的失衡,平衡满30秒事件未达成。reward.success=0、replay_success=0、deterministic=1 支持这一判断。"
83
+ }
84
+ ],
85
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+ "how": "支撑",
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129
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+ {
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+ "cat": "控制",
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+ "text_zh": "观察:视频 0.00–0.72 s,机器人双脚接触棕色板面,蓝色滚筒承托板体;机器人摆臂并调整腿、躯干,板和身体有晃动。此时尚未满足持续平衡30秒的事件判据。"
72
+ },
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+ {
74
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75
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76
+ "text_zh": "观察:视频 0.80–1.12 s,机器人向画面右侧持续倾倒,躯干越出板面上方,末帧身体已接近横向,脚部支撑姿态破坏;整段视频仅1.16秒,未出现保持至30秒。log step 290 的末次现场尝试由服务返回 done=True、outcome=\"touched the roller\"、stages_reached=0/3;log step 291 确认为 Episode 51、control_steps=113、resets_left=0,reward.graded_by_live=1。此前50次尝试不计入本视频进度。"
77
+ }
78
+ ],
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+ "contact_actual": [
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+ {
81
+ "who": "腿/躯干",
82
+ "how": "支撑",
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+ "note_zh": "观察:视频 0.00–0.96 s,机器人的脚接触棕色平衡板面承重,腿和躯干随板晃动并调整姿态;双臂在空中摆动,未见手抓物体。视频 1.04–1.12 s,侧倒时脚部支撑姿态破坏。"
84
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+ "evidence_zh": "观察:视频 0.80–1.12 s,机器人在用脚支撑平衡板、摆臂纠偏的过程中向画面右侧倾倒,未恢复站稳;log step 290 最后一次现场尝试在仿真 1.13 s 返回失败,裁判终止原因为 touched the roller,未达到30秒。视频 0.88 s 取作持续侧倒的导航锚点,不把裁判终止条件另作节点。"
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+ "evidence_zh": "观察:视频 0.80–1.12 s,机器人身体侧倾幅度逐渐增大,视频 1.04–1.12 s 双脚随身体倾翻,失去正常板上站立支撑,躯干倒向板外;log step 290 服务返回碰到滚筒而失败。"
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+ "cat": "控制",
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+ "item": "反馈控制",
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+ "t": 0.88,
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+ "log_step": 290,
132
+ "source_zh": "日志",
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+ "evidence_zh": "推断:log step 286 的最终脚本根据骨盆IMU横滚及角速度闭环调整髋、膝、踝和腰部关节;log step 290 执行该脚本时,仿真 0.44–0.60 s 的骨盆横滚由+5.11度摆至−10.70度,纠偏量u达到+0.75限幅,仿真 1.02 s 仍为−24.43度,仿真 1.13 s 达−47.93度并判负。视频 0.40–0.60 s 的姿态反摆及视频 0.80–1.12 s 的持续侧倒与日志一致,支持闭环未能抑制晃动并恢复平衡;未据此认定某一个增益参数错误。"
134
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+ "conf": 7,
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+ "rounds": 1,
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+ "conf": 7,
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+ "summary_zh": "节点未达成、断点、平衡现象与反馈控制根因均有视频和 log step 290 的支持,未发现需改内容的错误。",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-balance-board-i00-standard--fgljdy4/replay.mp4",
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+ "final": false,
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70
+ {
71
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+ "log_step": null,
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+ "text_zh": "观察:视频0.00 s机器人已以双脚站在棕色板面上,蓝色滚筒承托板体;此时只是开始持续平衡,尚未满足30秒验收。"
74
+ },
75
+ {
76
+ "t": 0.8,
77
+ "log_step": 110,
78
+ "text_zh": "观察:已检查视频0.00–0.88 s全部23帧;板体先向两侧摆动,视频0.76–0.88 s画面右侧板端快速下沉,机器人躯干随之向画面右侧倾斜,末帧未恢复。log step 110记录服务重置至episode 6后执行最后一次控制,服务在仿真0.90 s返回done=True、reason=failed,且最终control_steps=90;评分字段graded_by_live=1、success=0。视频全长仅0.92 s,本次尝试未持续至30秒。"
79
+ }
80
+ ],
81
+ "contact_actual": [
82
+ {
83
+ "who": "腿/躯干",
84
+ "how": "支撑",
85
+ "note_zh": "观察:视频0.00–0.88 s机器人双脚接触棕色板面承重,双腿及躯干随板倾斜并调整姿态;未见手臂接触板面。"
86
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87
+ ]
88
+ }
89
+ },
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+ "constraints": {}
91
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92
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+ {
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98
+ "direction": "higher_better"
99
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101
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102
+ "value": null,
103
+ "unit": "deg",
104
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106
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107
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110
+ "ref": "balanced_30s",
111
+ "t": 0.8,
112
+ "log_step": 110,
113
+ "where": "操作中",
114
+ "evidence_zh": "观察:视频0.76–0.88 s机器人正在以脚支撑保持板上平衡,板体向画面右端迅速下倾,身体随之侧倾,直至末帧均未恢复;log step 110的最后一次现场尝试episode 6随后收到服务failed终止状态,未达到30秒。"
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119
+ "item": "平衡",
120
+ "t": 0.8,
121
+ "log_step": 110,
122
+ "evidence_zh": "观察:视频0.60–0.88 s板体由反向倾斜经过近水平后,画面右端快速降低至接近垫面,机器人躯干持续向画面右侧倾斜;这次摆动未被纠正,录像随之结束。log step 110的服务终态为done=True、reason=failed。"
123
+ }
124
+ ],
125
+ "root_causes": [
126
+ {
127
+ "cat": "控制",
128
+ "item": "反馈控制",
129
+ "source_zh": "日志",
130
+ "evidence_zh": "推断:agent脚本通过本体感知反馈调整髋部滚转和踝部反向滚转(log step 83、87);最后一次现场尝试使用该闭环,log step 110中脚本估计的重心偏移u在仿真0.80 s为+0.088 m、仿真0.90 s为+0.167 m,而目标u_cmd均为−0.060 m,控制未能使其回到目标侧。结合视频0.76–0.88 s板体与机器人迅速侧倾,支持反馈调节未能稳定系统;这些u值是agent脚本计算值,并非独立状态真值。"
131
+ }
132
+ ],
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+ "gap_zh": "无状态日志或裁判逐物理步接触事件;视频末帧为0.88 s,能看到板端逼近垫面及身体侧倾,不能确认触发终止的具体接触部位和毫秒级时刻。控制日志中的倾角、重心偏移是agent脚本估计,尚不足以锁定具体参数或估计误差。评分器未报告time_on_board_s和max_tilt_deg原生指标,故均留null;不将脚本自报存活时长或估计倾角代填。",
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+ "unmet": {
135
+ "balanced_30s": false
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+ "summary_zh": "评分对应log step 110的第6次现场尝试:机器人双脚支撑在滚筒板上并尝试调节姿态,但视频0.76–0.88 s板体和身体迅速侧倾,未完成“平衡满30秒”,最终0/1节点。闭环控制未稳住板上系统,日志中的目标与估计重心偏移持续不一致支持反馈控制归因;无状态及裁判接触事件,具体触地部位和控制误差来源仍不确定。",
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+ "conf": 8,
140
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+ "rounds": 1,
143
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+ "conf": 7,
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+ "text_zh": "观察:视频 0.00–1.88 s,机器人双脚站在蓝色滚筒承托的棕色板上,腿、躯干和手臂反复调整姿态;视频 1.92 s 末帧机器人侧倾,板面向画面右侧倾斜,低端降至垫面附近。整段评分视频不足30秒,未出现平衡满30秒的完成状态。"
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+ },
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+ {
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+ "t": 1.92,
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+ "log_step": 184,
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+ "text_zh": "观察:log step 184 中机器人服务确认最后一次现场尝试 episode=51、control_steps=192、sim_time_s=1.92、done=True、outcome=\"the deck touched the floor\"、stages_reached=0;reward 的 graded_by_live=1、live_success=0。推断:log step 4 的 control_dt=0.01 s,192×0.01=仿真 1.92 s,对应视频 1.92 s 末帧板端下沉,核对一致;本节点从未达成,先前测试结果不计入本次节点进度。"
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+ }
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+ ],
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+ "contact_actual": [
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+ {
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+ "who": "腿/躯干",
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+ "how": "支撑",
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+ "note_zh": "观察:视频 0.00–1.88 s,机器人两脚直接接触棕色板面承重,腿和躯干随板摆动调节姿态;上肢在空中摆动。视频 1.92 s 末帧脚部支撑姿态改变、板体侧倾;本步骤实际接触为脚与板面的支撑。"
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+ }
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+ ]
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+ "ref": "balanced_30s",
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+ "t": 1.9,
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+ "log_step": 184,
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+ "where": "操作中",
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+ "evidence_zh": "观察:视频 1.80–1.92 s,机器人仍在板上调节支撑,躯干侧倾,末帧板体画面右端明显下沉;log step 184 的现场服务记录 episode=51 在仿真 1.92 s 因板体触地判负。机器人正在执行持续平衡步骤,尚未达到30秒且之后未恢复该步骤。"
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+ "phenomena": [
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+ {
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+ "cat": "全身",
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+ "item": "平衡",
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+ "t": 1.9,
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+ "log_step": 184,
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+ "evidence_zh": "观察:视频 0.00–1.88 s 机器人与板反复左右摆动,视频 1.92 s 机器人侧倾、脚部支撑姿态改变,板端下落;log step 184 的服务结论为板体触地。推断:机器人未能维持滚筒板支撑系统的平衡;录像结束时尚未显示身体倒地,不据此声称身体已经触地。"
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+ }
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+ ],
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+ "root_causes": [
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+ {
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+ "cat": "控制",
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+ "item": "控制",
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+ "source_zh": "视频",
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+ "evidence_zh": "推断:视频 0.00–1.92 s 中,机器人已建立脚与板面的支撑并持续摆臂、调整腿和躯干,但板与身体的摆动未被稳定住,最终板端下沉;log step 184 确认板体触地判负。该执行表现支持平衡控制失败;没有本次尝试的状态估计真值对照,不能细分为估计漂移、某个增益错误或特定关节限位。"
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+ },
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+ {
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+ "cat": "交付",
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+ "item": "交付操作出错",
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+ "source_zh": "日志",
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+ "evidence_zh": "观察:log step 180 的自动搜索代码逐一运行控制参数变体,只保存搜索最佳参数,未检查剩余重置次数或安排最后重跑最佳配置;log step 179 的先前测试为仿真 4.24 s,log step 183 报 reset budget exhausted,log step 184 确认无剩余重置且最终 episode=51 已在仿真 1.92 s 失败。agent 在 log step 187 自述最终评分留下了任意搜索变体而非重跑最佳配置。推断:最终尝试选择操作失误使较差变体成为评分轨迹;先前较佳配置也未达到30秒,不能据此声称正确选择即可成功。"
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+ }
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+ ],
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+ "gap_zh": "观察:inputs/ 提供评分视频和完整会话日志,但没有状态日志;49帧评分视频已逐帧检查。板体触地由最后一次尝试的服务结论支持,无法从25 fps录像还原逐物理步接触或确认板端/挡块中具体哪个部位先触地;缺少 episode 51 的状态估计与真实状态对照,agent 在 log step 187 关于估计漂移的解释不能独立验证。reward 未报告 time_on_board_s 与 max_tilt_deg,原生指标值保留为null;服务的仿真终止时间另列为证据。"
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+ },
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+ "summary_zh": "评分采用最后一次现场尝试 episode 51:机器人以双脚支撑滚筒板并反复调整姿态,在视频约1.9 s 时板端下沉,服务于仿真1.92 s 确认板体触地,因此“平衡满30秒”未达成,最终0/1节点。执行表现支持平衡控制失败;自动搜索没有保留重置次数重跑最佳配置,使较差变体成为评分尝试,但先前较佳测试同样不足30秒。没有状态日志或本次尝试的估计误差对照,无法确认更细的控制机制。",
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+ "conf": 8,
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+ "review": {
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+ "round": 1,
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+ "verdict": "agree",
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+ "summary_zh": "评分视频仅1.96 s,与log step 184服务读数(episode 51, sim 1.92 s, 板体触地, stages 0)一致;balanced_30s未达成、断点、平衡现象、控制与交付根因均有证据支持,时钟换算有核对,未发现需改动之处。",
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+ {
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-balance-board-i00-standard--heqfwxz/replay.mp4",
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+ "final": false,
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+ "evidence": [
68
+ {
69
+ "t": 0.0,
70
+ "log_step": null,
71
+ "text_zh": "观察:视频0.00 s机器人已以双脚站在棕色板面上,蓝色滚筒承托板体,双手垂在身体两侧;这只是持续平衡的起点,尚未满足30秒验收。"
72
+ },
73
+ {
74
+ "t": 0.84,
75
+ "log_step": 224,
76
+ "text_zh": "观察:逐帧检查视频0.00–0.84 s,机器人与板向画面右侧逐渐倾斜,视频0.64–0.84 s倾斜明显加剧,末帧低侧板端降至蓝色地面。log step 224的最终现场尝试返回裁判outcome=\"the deck touched the floor\"、仿真0.84 s、stages=0;log step 230确认最后一局episode=51、control_steps=84且done=True。录像未到30秒便结束,本节点从未完成。"
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+ ],
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+ "contact_actual": [
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+ {
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+ "who": "腿/躯干",
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+ "how": "支撑",
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+ "note_zh": "观察:视频0.00–0.84 s机器人的双脚接触棕色板面承重,腿与躯干随板逐渐侧倾;可见过程中双手没有接触板或滚筒。"
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+ }
85
+ ]
86
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+ },
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+ "constraints": {}
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+ "native_metrics": [
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100
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+ "breakpoint": {
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+ "ref": "balanced_30s",
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+ "t": 0.8,
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+ "log_step": 224,
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+ "where": "操作中",
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+ "evidence_zh": "观察:视频0.64–0.84 s,正在板上承重的机器人继续侧倾,板体低侧向地面落下,未恢复平衡;log step 224中最终现场尝试的裁判结果为板体触地,仿真0.84 s终止、stages=0。失败发生在持续保持平衡这一步。"
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+ "cat": "全身",
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+ "item": "平衡",
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+ "t": 0.8,
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+ "log_step": 224,
120
+ "evidence_zh": "观察:视频0.00 s机器人近直立站在滚筒板上;视频0.64–0.84 s身体侧倾扩大,板的一端抬高、另一端落向地面,末帧已失去原有滚筒板平衡。log step 224返回裁判“the deck touched the floor”;画面截至此处,未显示机器人身体随后完全倒地。"
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+ }
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+ ],
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+ "root_causes": [
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+ {
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+ "cat": "控制",
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+ "item": "反馈控制",
127
+ "t": 0.8,
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+ "log_step": 224,
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+ "source_zh": "日志 / 视频",
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+ "evidence_zh": "推断:log step 210建立的控制器读取骨盆IMU,将横向加速度换算为重心偏移,并通过双髋滚转目标闭环纠偏;log step 214加入低通滤波,log step 216保留该反馈分支,log step 224明确使用此控制器,以k1=25、k2=5、tauf=0.005执行最终尝试。视频0.40–0.84 s身体和板的侧倾继续扩大直至板端触地,说明最终反馈控制未能稳定滚筒板上的支撑。尚无最终局关节目标与实测曲线来证明某个增益、力矩上限或接触参数是具体原因。"
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+ "unmet": {
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136
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+ "summary_zh": "评分对象是最后一次现场尝试:机器人从双脚站在滚筒板上开始,在视频0.64–0.84 s明显侧倾,末帧板端落至地面,“平衡满30秒”未达成,最终节点为0/1。log step 224的裁判触地结果与录像一致,最终使用的IMU闭环反馈未能稳定支撑,断点为保持平衡操作中。无状态日志和最终局控制曲线,无法进一步确认具体失稳机制,两项原生指标也未由reward报告。",
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+ "conf": 8,
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+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 8,
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+ "summary_zh": "节点未达成、末帧板端触地、断点balanced_30s、平衡现象与反馈控制根因均与录像和日志一致;未发现需要修改内容的错误。",
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+ "open_zh": []
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+ "provenance": {
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+ "engine": "codex",
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+ "effort": "high",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "video_sha256": "28834a45943f10dfcb3340c80665c2d046f3386c00eff91650e338d2f43e91b9",
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+ "states_sha256": null,
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+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-balance-board-i00-standard--lpgnyly",
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+ "taskKey": "embodied-olympics-fun/balance_board",
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+ "dag_sha256": "33a43b602711eb1f0ce8accf150479b69fb8b84456d1d75783d478a23c0f1d05",
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+ "source": "catalog",
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+ "video": {
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-balance-board-i00-standard--lpgnyly/replay.mp4",
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+ "duration_s": 1.28,
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+ "fps": 25.0,
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+ "frames": 32,
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+ "sha256": "2cc60f4c642b088d22735575d21bc39b32ae22beda0ac0670507cf921e9a7ede"
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+ },
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+ "final": false,
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+ "evidence": [
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+ {
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+ "t": 0.0,
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+ "log_step": null,
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+ "text_zh": "观察:视频 0.00 s 机器人已经双脚站在棕色板面上,板下蓝色滚筒承托板体;视频 0.00–1.24 s 全部32帧可见机器人通过腿、髋与躯干运动随板体左右摇摆,确实开始了保持平衡的尝试。"
72
+ },
73
+ {
74
+ "t": 1.24,
75
+ "log_step": 194,
76
+ "text_zh": "观察:视频 1.24 s 机器人仍在板上,板体再次向画面右侧下倾;整段视频只有1.28秒。log step 192–194 的最后一轮脚本运行 KNEE c0=0.1395,Kd2=0.20,输出仿真 1.26 s、reason=failed;log step 197 的后续重置被服务以 reset budget exhausted 拒绝,没有开始新尝试。"
77
+ },
78
+ {
79
+ "t": 1.24,
80
+ "log_step": 198,
81
+ "text_zh": "推断:最后一次现场尝试与评分视频的短时摇摆过程及结束长度相符,未持续到仿真 30.0 s,故 balanced_30s 从未达成。log step 198 对最后一次尝试的身份说明与 log step 192–197 一致;此前仿真 1.49 s 的测试不计为本次进度。成功参考视频在参考视频 30.00 s 仍显示脚支撑板面、滚筒承托板体,仅用来核对达成外观。"
82
+ }
83
+ ],
84
+ "contact_actual": [
85
+ {
86
+ "who": "腿/躯干",
87
+ "how": "支撑",
88
+ "note_zh": "观察:视频 0.00–1.24 s,机器人的两只脚接触棕色板面承重,腿与躯干随板的摇摆调整姿态;双臂在身体两侧,没有可见的手撑板动作。"
89
+ }
90
+ ]
91
+ }
92
+ },
93
+ "constraints": {}
94
+ },
95
+ "native_metrics": [
96
+ {
97
+ "name": "time_on_board_s",
98
+ "unit": "s",
99
+ "threshold": 30.0,
100
+ "direction": "higher_better",
101
+ "value": null
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+ {
104
+ "name": "max_tilt_deg",
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+ "unit": "deg",
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+ "threshold": null,
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+ "direction": "lower_better",
108
+ "value": null
109
+ }
110
+ ],
111
+ "failure": {
112
+ "breakpoint": {
113
+ "ref": "balanced_30s",
114
+ "t": 1.2,
115
+ "log_step": 194,
116
+ "where": "操作中",
117
+ "evidence_zh": "观察:视频 1.16–1.24 s,机器人仍在用脚支撑摇摆的板面,板体又向画面右侧下倾,录像随后结束;log step 194 记录最后一次现场尝试在仿真 1.26 s 以 reason=failed 结束。推断:失败发生在保持平衡30秒的持续操作中,视频约 1.2 s 作为末次未修复摇摆的导航锚点,不能由此确定具体违规接触。"
118
+ },
119
+ "phenomena": [],
120
+ "root_causes": [
121
+ {
122
+ "cat": "控制",
123
+ "item": "控制",
124
+ "source_zh": "日志 / 视频",
125
+ "evidence_zh": "观察:log step 160 的 KNEE 控制器代码根据机器人惯性测量单元的横滚姿态、角速度及髋关节角反馈,持续调整髋、腰与左右膝的目标角;log step 192 的最后一次配置为 c0=0.1395,Kd2=0.20,log step 194 输出仿真 1.26 s 失败。视频 0.12–0.40 s 和视频 0.84–1.24 s 可见板体倾斜反向后再次反向,机器人持续运动却未消除摇摆。推断:该闭环控制没有维持本次板上平衡;缺少该次完整传感与接触记录,归到控制,不能进一步断定某个增益、状态估计或接触布局是具体根因。"
126
+ }
127
+ ],
128
+ "gap_zh": "已逐帧检查评分视频全部32帧,包括视频 0.28–1.24 s 的末秒,并放大检查视频 0.88–1.24 s 的板、脚与滚筒。末帧机器人仍站在板上���未清楚显示身体失去支撑、身体落地或板端触地;25 fps 的视频也未覆盖仿真 1.26 s 的终止物理步。inputs/ 无状态日志,reward 未报告具体违规类型;log step 200 中“板端/边缘碰撞”及振幅、频率是 agent 自述,不能代替本次接触证据。因此失败现象留空,不能将摇摆本身直接标为摔倒、碰撞或违反约束。评分器也未报告 time_on_board_s、max_tilt_deg,两项原生指标留 null;日志中的仿真终止时刻不冒充评分器指标。",
129
+ "unmet": {
130
+ "balanced_30s": false
131
+ }
132
+ },
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+ "summary_zh": "机器人在评分视频 0.00–1.24 s 用双脚支撑棕色板面并持续调整姿态,但板体反复摇摆;最后一次现场尝试在仿真 1.26 s 失败,平衡满30秒节点未达成,最终0/1。断点为 balanced_30s 的操作中,代码与视频支持控制未能维持平衡,但末帧没有清楚显示具体违规接触,失败现象留空;此前测试结果不计入本次进度。",
134
+ "conf": 7,
135
+ "review": {
136
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+ "rounds": 1,
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+ "reviewers": [
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+ "conf": 6,
145
+ "summary_zh": "节点 balanced_30s 未达成、断点、contact_actual 与证据一致;视频仅1.28 s,末帧未显示具体违规,现象留空并写明 gap_zh 可接受,控制根因的限定措辞合理。",
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+ "video": {
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-balance-board-i00-standard--q8pdmdo/replay.mp4",
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+ },
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+ "nodes": {
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+ "balanced_30s": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ {
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+ "t": 0.0,
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+ "log_step": 3,
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+ "text_zh": "观察:视频0.00秒机器人已双脚站在棕色板面上,板底由蓝色滚筒承托,双臂未撑板;log step 3现场服务报告episode=1、control_steps=0。该节点要求连续完成仿真30.0秒,开局站在板上尚不构成达成。"
72
+ },
73
+ {
74
+ "t": 1.76,
75
+ "log_step": 78,
76
+ "text_zh": "观察:逐帧检查视频0.00–1.76秒,机器人先反复左右晃动,视频1.52–1.76秒身体明显向画面右侧倾倒、板端向垫面降低,录像随即结束。log step 78中基准现场机器人服务的裁判返回done=True、outcome=\"the deck touched the floor\"、sim_time_s=1.77、control_steps=177、stages_reached=0;reward中resets=0、sim_steps=177、live_success=0,表明这是唯一现场受评回合,后续本地测试不计入节点进度。"
77
+ },
78
+ {
79
+ "t": 1.76,
80
+ "log_step": 78,
81
+ "text_zh": "推断:log step 6规格中的控制周期为0.01秒,log step 78的177个现场控制步对应仿真1.77秒;其终止前倾倒与视频1.72–1.76秒末帧相符,差异小于一帧,故以视频约1.6秒作失衡导航点。节点在未满仿真30.0秒时已因板体触地失败,全程未达成。"
82
+ }
83
+ ],
84
+ "contact_actual": [
85
+ {
86
+ "who": "腿/躯干",
87
+ "how": "支撑",
88
+ "note_zh": "观察:视频0.00–1.76秒机器人用脚接触棕色板面承重,腿与躯干随板晃动并调整姿态,末段连同板体失衡;手臂未见接触板面或滚筒。"
89
+ }
90
+ ]
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+ "t": 1.6,
115
+ "log_step": 78,
116
+ "where": "操作中",
117
+ "evidence_zh": "观察:视频1.52–1.76秒机器人身体倾倒加剧,棕色板向一侧下沉,未再恢复;log step 78现场服务裁判在仿真1.77秒报告板体触地并终止。机器人正在执行板上平衡,未完成仿真30.0秒的持续平衡。"
118
+ },
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+ "unmet": {
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+ "phenomena": [
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+ "cat": "全身",
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+ "item": "平衡",
126
+ "t": 1.6,
127
+ "log_step": 78,
128
+ "evidence_zh": "观察:视频1.52–1.76秒机器人躯干从接近直立迅速偏向画面右侧,双腿和板体一同倾斜,末帧仍在倾倒;log step 78现场裁判以\"the deck touched the floor\"判负。此处是支撑系统失衡,录像终止前未见机器人身体完全落地。"
129
+ }
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+ ],
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+ "root_causes": [
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+ {
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+ "cat": "控制",
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+ "item": "反馈控制",
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+ "log_step": 78,
136
+ "t": 1.6,
137
+ "source_zh": "日志",
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+ "evidence_zh": "推断:log step 78实际提交到现场服务的控制脚本仅用骨盆横滚角及横滚角速度生成髋、踝、腰和肩的协调反馈,没有俯仰或偏航稳定反馈;其现场输出显示姿态反复过冲,最后控制量u达到+0.350上限,骨盆横滚从仿真1.54秒的-0.60度发展到仿真1.74秒的-30.99度。log step 82对同一现场记录的诊断还显示俯仰从仿真0.02秒约0.01度增加至仿真1.72秒约32.50度,与视频1.52–1.76秒持续倾倒一致,支持该反馈控制未能稳定全身及板体;不据此认定某个单独增益必然错误。"
139
+ }
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+ "gap_zh": "没有状态日志,25帧/秒画面不能确定触地的具体几何部位及首个1毫秒接触时刻;板体触地由log step 78的现场裁判确认。run.json的reward未报告time_on_board_s或max_tilt_deg,因此两项原生指标值均为null;现场终止的仿真1.77秒不冒充评分器未报告的指标。反馈控制归因为脚本、现场姿态读数与录像的联合推断,未能分离各反馈项或增益的因果贡献。"
142
+ },
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+ "summary_zh": "机器人从板上站立开始尝试平衡,完成0/1节点;视频约1.6秒开始明显倾倒,现场裁判在仿真1.77秒因板体触地终止(log step 78),未达到仿真30.0秒。现场脚本的姿态反馈未能抑制逐渐扩大的晃动与倾倒,根因标为控制·反馈控制;log step 199的模型过滤提示发生在该受评回合已结束之后。无状态日志,瞬时接触细节及两项未报告的原生指标仍有证据缺口。",
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+ "conf": 8,
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+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "summary_zh": "标签与视频、日志一致:视频0–1.76秒机器人在板上晃动后倾倒,现场服务在仿真1.77秒因板体触地终止(log step 78),节点未达成、断点与平衡/反馈控制归因均有证据支持。",
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+ "dag_sha256": "33a43b602711eb1f0ce8accf150479b69fb8b84456d1d75783d478a23c0f1d05",
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+ "video": {
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-balance-board-i00-standard--zvk2rz4/replay.mp4",
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+ "duration_s": 1.24,
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+ "fps": 25.0,
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+ "frames": 31,
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+ "sha256": "1fc5e1c138d1c0d72b18ab6f5d4c6c65fdd5328b5862e9018c67ae575bb610ea"
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+ },
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+ "state": null,
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+ "denominator": 1,
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+ "base": 0,
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+ "nodes": {
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+ "method": "visual",
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+ "evidence": [
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+ {
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+ "t": 0.0,
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+ "log_step": null,
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+ "text_zh": "观察:视频 0.00 s 机器人双脚已站在棕色板面上,蓝色滚筒承托板底;视频 0.04–0.80 s 机器人抬臂并调整身体,双脚继续支撑板面。这只是开始执行持续平衡,尚未满足满30秒的事件判据。"
72
+ },
73
+ {
74
+ "t": 1.2,
75
+ "log_step": 111,
76
+ "text_zh": "观察:视频 0.84–1.20 s 板面逐渐向画面右侧下倾,末段机器人随板明显侧倾,低端接近垫面;全片至视频 1.20 s 的最后一帧均未达到30秒。log step 111 的最终现场尝试(episode 51)服务返回仿真 1.21 s、outcome=the deck touched the floor、done=True、control_steps=121,与评分字段 n_actions=121 一致,故本节点未完成。"
77
+ }
78
+ ],
79
+ "contact_actual": [
80
+ {
81
+ "who": "腿/躯干",
82
+ "how": "支撑",
83
+ "note_zh": "观察:视频 0.00–1.20 s 机器人两脚接触并承重于棕色板面,腿和躯干随板调整;两臂在空中摆动,没有可见的手部触板或抓握。"
84
+ }
85
+ ]
86
+ }
87
+ },
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+ "constraints": {}
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+ "native_metrics": [
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+ "name": "time_on_board_s",
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+ "value": null,
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+ "direction": "higher_better"
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+ "name": "max_tilt_deg",
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+ "value": null,
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+ "unit": "deg",
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104
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+ "ref": "balanced_30s",
109
+ "t": 1.2,
110
+ "log_step": 111,
111
+ "where": "操作中",
112
+ "evidence_zh": "观察:视频 1.04–1.20 s 机器人仍以双脚踩板执行平衡,但身体与板面倾斜迅速增大,板的画面右端降向垫面。log step 111 的第51次现场尝试在仿真 1.21 s 由服务报告板体触地并终止,未继续完成30秒。"
113
+ },
114
+ "unmet": {
115
+ "balanced_30s": false
116
+ },
117
+ "phenomena": [
118
+ {
119
+ "cat": "全身",
120
+ "item": "平衡",
121
+ "t": 1.2,
122
+ "log_step": 111,
123
+ "evidence_zh": "观察:视频 0.84–1.20 s,机器人与支撑板向一侧倾斜加剧,最后一帧机器人明显侧倾、板端已降至接近垫面;log step 111 服务记录骨盆横滚从仿真 1.05 s 的−6.0°增至仿真 1.21 s 的−18.6°,随后报告板体触地而终止。推断:机器人未能维持滚筒板上的整体平衡;录像在板端触地处结束,没有显示身体倒地。"
124
+ }
125
+ ],
126
+ "root_causes": [
127
+ {
128
+ "cat": "控制",
129
+ "item": "控制",
130
+ "evidence_zh": "推断:agent 的平衡控制未能抑制机器人与板的侧倾增长。log step 107、109–110 的最终脚本固定髋部偏置和双臂配重姿态,以相机板面斜率及骨盆IMU角速度调节腰部;log step 111 实际运行时,腰部命令从仿真 1.05 s 的−0.29 rad 变到仿真 1.21 s 的−0.38 rad,骨盆横滚却由−6.0°增至−18.6°并发生板体触地,符合视频 1.04–1.20 s 的倾倒趋势。目标是在板上持续平衡,日志没有显示任务目标或顺序误读;证据仅支持控制层归因,不能确认具体增益、支撑布局或关节跟踪哪一项主导失败。",
131
+ "source_zh": "日志",
132
+ "log_step": 111
133
+ }
134
+ ],
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+ "gap_zh": "没有状态日志,25 fps画面不能单独判定1毫秒物理步的精确触地点和接触力;板体触���的判负由最终现场尝试的服务返回补充。缺少足以区分固定配重姿态、反馈增益和关节跟踪误差的测量,因此根因不细分。run.json 的 reward 未报告 time_on_board_s 或 max_tilt_deg,两个原生指标均填 null,不将仿真终止时刻代作指标值。"
136
+ },
137
+ "summary_zh": "受评的是最后一次现场尝试(log step 111,episode 51);机器人以双脚支撑板面、抬臂并调节腰部,但“平衡满30秒”未完成,节点最终为0/1。视频 1.04–1.20 s 身体与板面侧倾加剧,服务在仿真 1.21 s 报告板体触地并终止,断点为平衡操作中,根因归于未能稳定板体的控制。无状态日志,不能进一步区分配重、反馈增益和跟踪误差,也没有原生指标的评分字段。",
138
+ "conf": 8,
139
+ "review": {
140
+ "status": "agreed",
141
+ "rounds": 1,
142
+ "reviewers": [
143
+ {
144
+ "engine": "claude",
145
+ "model": "claude-sonnet-5-5",
146
+ "round": 1,
147
+ "verdict": "agree",
148
+ "conf": 8,
149
+ "summary_zh": "标注与视频和日志一致:受评为最后一次现场尝试(step 111),1.2 s 视频内板端下降、服务报板体触地,节点未完成,断点、平衡现象和停在“控制”的根因均有证据支持。",
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+ "n_major": 0
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+ "open_zh": []
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:46:26Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "source": "catalog",
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+ "nodes": {
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+ "evidence": [
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+ {
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+ "t": 0.52,
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+ "log_step": null,
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+ "text_zh": "观察:视频 0.32–0.48 s 机器人左脚着地、右腿摆动,视频 0.52 s 右脚前伸且足球已离开原处,视频 0.56–0.72 s 球继续向人墙方向飞行;这是实际脚踢接触,不能仅凭离脚判入门。"
81
+ },
82
+ {
83
+ "t": 2.12,
84
+ "log_step": null,
85
+ "text_zh": "观察:视频 1.52–2.12 s 足球沿画面中橙色人墙左侧向前运动,随后球进入人墙遮挡区域;视频 3.80–4.80 s 逐帧检查仍无法看清低处球门线的越线瞬间。机器人在视频约 1.0 s 踢后倒地。"
86
+ },
87
+ {
88
+ "t": 4.8,
89
+ "log_step": 104,
90
+ "text_zh": "观察:评分器 reward.success=1、replay_success=1、deterministic=1,stages_reached=2/2;最终交付重放工具在 log step 104 输出 outcome=success、stages=[kick, goal]、ball_x_m=20.502、cross_y_m=0.312、cross_z_m=0.156,与评分器指标完全一致。log step 100–101 确认替换后的交付有 483 行,独立重放均成功且终态散列一致,故未使用更早会话候选的进球记录。"
91
+ },
92
+ {
93
+ "t": 4.83,
94
+ "log_step": 104,
95
+ "text_zh": "推断:log step 2 的实例 control_dt=0.01 s,log step 22 明确每行对应一个控制步;最终交付在 log step 104 成功终止于控制步 483,故进球锚点为视频约 483×0.01=4.83 s,与视频总长 4.84 s 一致。已用视频 0.48–0.52 s 的起脚离球核对 log step 102 所记仿真 0.49 s 起脚;此映射采用交付的控制步而非 agent 工作时间。末段越线被遮挡,由成功裁判记录及门内横向、高度指标确认节点达成。"
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+ }
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+ "contact_actual": [
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+ {
100
+ "who": "腿/躯干",
101
+ "how": "其他",
102
+ "note_zh": "观察:视频 0.48–0.52 s 机器人右脚击打足球,使球离开原处向人墙及球门方向运动。候选名称:击打;现有接触方式没有脚踢项,故用其他。"
103
+ },
104
+ {
105
+ "who": "腿/躯干",
106
+ "how": "支撑",
107
+ "note_zh": "观察:视频 0.32–0.72 s 机器人摆动右腿射门时,左脚接触草地承重;视频约 1.0 s 踢后躯干落地,此后保持倒地姿态至视频 4.80 s。"
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+ }
109
+ ]
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+ }
111
+ },
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+ {
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+ "unit": "m",
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+ "threshold": 20.49,
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+ "direction": "higher_better",
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+ "value": 20.502
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128
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+ "direction": "target",
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+ "value": 0.312
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138
+ ],
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+ "direction": "target",
140
+ "value": 0.156
141
+ }
142
+ ],
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+ "summary_zh": "机器人在视频约 0.5 s 右脚踢出足球,球向人墙侧边行进;最终交付的裁判重放确认任意球入门,唯一节点在视频约 4.83 s 达成,终态为 1/1。视频约 1.0 s 的倒地发生在脚踢之后,任务允许该行为,评分器也记录成功。无���态日志,人墙遮住后段球路和低处越线位置,进球结果依据与交付一致的裁判字段,达成时间由控制步映射并与可见起脚核对。",
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+ "conf": 8,
146
+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 8,
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+ "summary_zh": "单节点 free_kick_scored 的 final=true 有评分器字段与最终交付重放(log step 104,483 控制步)支撑;控制步映射 483×0.01=4.83 s 与视频总长 4.84 s 相符,起脚约 0.5 s 在视频中可核对;contact_actual 与失败层(null)均合理。",
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+ "n_issues": 0,
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+ [
71
+ 3.66,
72
+ null
73
+ ]
74
+ ],
75
+ "final": true,
76
+ "evidence": [
77
+ {
78
+ "t": 0.16,
79
+ "log_step": 140,
80
+ "text_zh": "观察:视频 0.00–0.12 s 足球在机器人脚前,视频 0.16 s 右脚前伸触球,视频 0.20–0.28 s 白球已离脚并向球门方向升起,左脚留在草地上支撑。log step 140 对最终交付轨迹的重放事件记录合法触球部位为 right_foot。"
81
+ },
82
+ {
83
+ "t": 1.48,
84
+ "log_step": null,
85
+ "text_zh": "观察:视频 0.32–1.48 s 白球持续向远处球门运动,视频 1.28–1.48 s 接近橙色人墙的画面左缘,随后被人墙遮挡;已逐帧检查至视频 3.64 s,含末秒及球门放大图,无法从该视角独立辨清越线瞬间。视频约 0.80 s 机器人踢后倒地。"
86
+ },
87
+ {
88
+ "t": 3.64,
89
+ "log_step": 140,
90
+ "text_zh": "观察:评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2/2;ball_x_m=20.514、cross_y_m=1.19、cross_z_m=0.595,符合 DAG 的球心越线范围。log step 136 的两个新进程对交付文件重放均返回 kick、goal 阶段及相同终态散列;log step 140 最终重新生成并重放仍成功,记录 goal 事件在仿真 3.655 s。"
91
+ },
92
+ {
93
+ "t": 3.66,
94
+ "log_step": 140,
95
+ "text_zh": "推断:log step 133 的交付生成脚本注明控制周期 0.01 s;log step 140 的最终文件重放执行 366 个控制步,共仿真 3.66 s,与视频 3.68 s 时长相符。该重放的仿真 0.13 s 脚触球事件已与视频 0.12–0.20 s 的触球、离脚核对,因此将同一次重放仿真 3.655 s 的 goal 事件映射为视频约 3.66 s(末帧时间为视频 3.64 s,帧间精度约 0.04 s)。后段遮挡不直接否定进球,结合评分器成功判定该事件节点已完成并锁存。"
96
+ }
97
+ ],
98
+ "contact_actual": [
99
+ {
100
+ "who": "腿/躯干",
101
+ "how": "其他",
102
+ "note_zh": "观察:视频 0.16–0.20 s 机器人右脚击打足球并将球踢离;候选名称:击打,现有接触方式无踢击项,不以推/扫代替。"
103
+ },
104
+ {
105
+ "who": "腿/躯干",
106
+ "how": "支撑",
107
+ "note_zh": "观察:视频 0.12–0.28 s 机器人右脚前摆踢球时,左脚接触草地支撑身体;踢后机器人倾倒,视频约 0.80 s 身体落地。"
108
+ }
109
+ ]
110
+ }
111
+ },
112
+ "constraints": {}
113
+ },
114
+ "native_metrics": [
115
+ {
116
+ "name": "ball_x_m",
117
+ "unit": "m",
118
+ "threshold": 20.49,
119
+ "direction": "higher_better",
120
+ "value": 20.514
121
+ },
122
+ {
123
+ "name": "cross_y_m",
124
+ "unit": "m",
125
+ "threshold": [
126
+ -3.66,
127
+ 3.66
128
+ ],
129
+ "direction": "target",
130
+ "value": 1.19
131
+ },
132
+ {
133
+ "name": "cross_z_m",
134
+ "unit": "m",
135
+ "threshold": [
136
+ 0,
137
+ 2.44
138
+ ],
139
+ "direction": "target",
140
+ "value": 0.595
141
+ }
142
+ ],
143
+ "failure": null,
144
+ "summary_zh": "机器人右脚将球踢向球门,最终交付的确定性重放和评分器确认任意球入门,唯一节点完成(1/1),完成时刻由交付重放事件映射为视频约 3.66 s。机器人在视频约 0.80 s 踢后倒地,按任务规则不影���进球计数,因此没有失败断点。无状态日志,后段球路及越线瞬间被人墙遮挡,入门几何依据评分器的球心越线指标确认,未将离脚时刻当成完成时刻。",
145
+ "conf": 8,
146
+ "review": {
147
+ "status": "agreed",
148
+ "rounds": 1,
149
+ "reviewers": [
150
+ {
151
+ "engine": "claude",
152
+ "model": "claude-sonnet-5-5",
153
+ "round": 1,
154
+ "verdict": "agree",
155
+ "conf": 8,
156
+ "summary_zh": "成功运行,唯一节点 free_kick_scored 达成;评分器 success=1、越线指标合规,视频触球与倒地与标注一致,无失败断点,接触标注合理(击打记为其他、支撑脚)。",
157
+ "n_issues": 0,
158
+ "n_major": 0
159
+ }
160
+ ],
161
+ "open_zh": []
162
+ },
163
+ "provenance": {
164
+ "prompt": "prompts/03_trajectory.md",
165
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
169
+ "created": "2026-10-31T00:35:11Z",
170
+ "review_prompt": "prompts/04_trajectory_review.md",
171
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ {
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+ "stage": "traj",
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+ "round": 0,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--awo3eo9/03_label"
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+ "stage": "traj_review",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--awo3eo9/04_review_r1"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "da5810bc7f43756d25331b3cf0a127c4efd8374c368d3331c1abf30fb123b667",
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+ "video_sha256": "6167032550cd8856398591964562982094385d840a315993f708370d079026af",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ }
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+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-free-kick-wall-i00-privileged--emdgrga",
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+ "taskKey": "embodied-olympics-fun/free_kick_wall",
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+ "dag_sha256": "6749223ae6b8a425b1f7d86513bee960c64b42ed756a390e3a358baebdc119ab",
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+ "outcome": {
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+ "success": 1,
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+ "reward": 1.0,
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+ "source": "catalog",
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+ "raw": {
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+ "replay_success": 1,
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+ "deterministic": 1,
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+ "n_actions": 261,
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+ "sim_steps": 261,
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+ "horizon": 3000,
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+ "episode_over": 1,
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+ "progress": 1.0,
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+ "stages_reached": 2,
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+ "stages_total": 2,
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+ "fell": 0,
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+ "replay_s": 3.83,
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+ "bad_trajectory": 0,
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+ "metric_ball_x_m": 20.529,
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+ "metric_cross_y_m": 1.656,
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+ "metric_cross_z_m": 0.194,
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+ "metric_fell_after_kick": 1.0,
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+ "metric_kick_speed_m_s": 11.59,
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+ "grader_error": 0,
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+ "video_rendered": 1,
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+ "agent_sessions": 90,
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+ "agent_resets": 3297,
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+ "agent_replays": 3,
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+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0,
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+ "peak_memory_gb": 2.319,
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+ "peak_processes": 19,
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+ "resource_emergency_kills": 0,
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+ "resource_oom_kills": 0,
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+ "resource_host_oom_kills": 0,
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+ "resource_service_oom_kills": 0,
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+ "session_log_tampered": 0,
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+ "session_log_from_monitor": 0
49
+ }
50
+ },
51
+ "video": {
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+ "kind": "hf",
53
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--emdgrga/replay.mp4",
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+ "duration_s": 2.64,
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+ "fps": 25.0,
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+ "frames": 66,
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+ "sha256": "1fdd858cc35eec25150515a43a2886c73b23eeb3a19fd62eae238202c64411a9"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 1,
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+ "base": 0,
64
+ "peak": 1,
65
+ "final": 1,
66
+ "nodes": {
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+ "free_kick_scored": {
68
+ "method": "visual",
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+ "intervals": [
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+ [
71
+ 2.6,
72
+ null
73
+ ]
74
+ ],
75
+ "final": true,
76
+ "evidence": [
77
+ {
78
+ "t": 0.28,
79
+ "log_step": 40,
80
+ "text_zh": "观察:视频 0.16–0.24 s 机器人以左脚支撑、右腿前摆,视频 0.28–0.44 s 白球离开原来的足前位置向球门方向飞行,机器人随后倒地;log step 40 对最终交付轨迹的裁判重放记录第一次合法触球部位为 right_foot,仿真 0.252 s 达到 kick 阶段。"
81
+ },
82
+ {
83
+ "t": 2.6,
84
+ "log_step": 40,
85
+ "text_zh": "观察:视频 0.96–1.20 s 白球沿橙色人墙画面左侧行进,随后球路在固定视角中被人墙遮挡;已逐帧检查视频 1.20–2.60 s,不能直接分辨门线处的球心。评分器 reward.success=1、replay_success=1、deterministic=1、stages_reached=2/2;最终球心 x=20.529 m,越线横向偏差为 1.656 m、高度为 0.194 m,均符合入门判据。"
86
+ },
87
+ {
88
+ "t": 2.6,
89
+ "log_step": 40,
90
+ "text_zh": "推断:log step 40 是最终交付文件的重放,261 个控制步、每步 0.01 s(log step 15)合计仿真 2.61 s,与视频总长 2.64 s 相符;仿真 0.252 s 的右脚触球已在视频 0.24–0.28 s 核对,故以该重放裁判记录的仿真 2.604 s goal/success 事件推定视频约 2.60 s 入门,时间存在约一帧误差。log step 41 再次重放成功且终态散列相同,指标也与本次评分器字段一致。"
91
+ }
92
+ ],
93
+ "contact_actual": [
94
+ {
95
+ "who": "腿/躯干",
96
+ "how": "其他",
97
+ "note_zh": "观察:视频 0.24–0.28 s 机器人右足向足球摆出,白球随即离脚;log step 40 的交付重放裁判记录确认 right_foot 合法触球。候选名称:击打;现有接触方式没有适用的踢击项。"
98
+ },
99
+ {
100
+ "who": "腿/躯干",
101
+ "how": "支撑",
102
+ "note_zh": "观察:视频 0.16–0.24 s 机器人左足接触草地、支撑右腿摆动的身体;踢后机器人在视频约 0.44–0.60 s 倒地。"
103
+ }
104
+ ]
105
+ }
106
+ },
107
+ "constraints": {}
108
+ },
109
+ "native_metrics": [
110
+ {
111
+ "name": "ball_x_m",
112
+ "unit": "m",
113
+ "threshold": 20.49,
114
+ "direction": "higher_better",
115
+ "value": 20.529
116
+ },
117
+ {
118
+ "name": "cross_y_m",
119
+ "unit": "m",
120
+ "threshold": [
121
+ -3.66,
122
+ 3.66
123
+ ],
124
+ "direction": "target",
125
+ "value": 1.656
126
+ },
127
+ {
128
+ "name": "cross_z_m",
129
+ "unit": "m",
130
+ "threshold": [
131
+ 0,
132
+ 2.44
133
+ ],
134
+ "direction": "target",
135
+ "value": 0.194
136
+ }
137
+ ],
138
+ "failure": null,
139
+ "summary_zh": "机器人用右脚踢出白球,球沿人墙侧方行进,评分器及最终交付文件的两次一致重放确认任意球入门,唯一节点完成(1/1),入门时刻推定为视频约 2.60 s。机器人在视频约 0.44–0.60 s 踢后倒地,任务允许这一情况,不构成失败。无状态日志,后段球路被人墙遮挡,精确越线位置及入门时刻依据评分器字段和已用可见触球核对时钟的交付重放裁判记录。",
140
+ "conf": 8,
141
+ "review": {
142
+ "status": "agreed",
143
+ "rounds": 1,
144
+ "reviewers": [
145
+ {
146
+ "engine": "claude",
147
+ "model": "claude-sonnet-5-5",
148
+ "round": 1,
149
+ "verdict": "agree",
150
+ "conf": 8,
151
+ "summary_zh": "节点 free_kick_scored 达成(final true)与评分器字段、log step 40/41 一致;视频 0.28 s 起脚踢球、之后机器人倒地,球路后段被人墙遮挡,入门时刻 2.60 s 为带核对的推断,接触标注(腿/躯干×其他、支撑)正确,成功无 failure。",
152
+ "n_issues": 0,
153
+ "n_major": 0
154
+ }
155
+ ],
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+ "open_zh": []
157
+ },
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:36:14Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "calls": [
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--emdgrga/03_label"
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--emdgrga/04_review_r1"
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+ "review_model": "claude-sonnet-5-5",
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+ "states_sha256": null,
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+ }
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+ "taskKey": "embodied-olympics-fun/free_kick_wall",
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+ "dag_sha256": "6749223ae6b8a425b1f7d86513bee960c64b42ed756a390e3a358baebdc119ab",
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+ "outcome": {
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+ "source": "catalog",
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+ "stages_total": 2,
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+ "fell": 0,
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+ "replay_s": 6.94,
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+ "bad_trajectory": 0,
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+ "metric_ball_x_m": 20.542,
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+ "metric_cross_y_m": 1.103,
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+ "metric_cross_z_m": 0.191,
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+ "metric_kick_speed_m_s": 13.89,
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+ "grader_error": 0,
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+ "video_rendered": 1,
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+ "agent_sessions": 4,
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+ "agent_resets": 0,
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+ "agent_replays": 4,
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+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0.0,
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+ "peak_memory_gb": 3.003,
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+ "peak_processes": 17,
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+ "resource_host_oom_kills": 0,
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+ }
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+ },
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+ "video": {
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+ "kind": "hf",
52
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--mvbpbl7/replay.mp4",
53
+ "duration_s": 2.2,
54
+ "fps": 25.0,
55
+ "frames": 55,
56
+ "sha256": "8d92f97e2c2f3f33e88fc82d72e6222ff0b389fae2baac36f2756d8cb5857219"
57
+ },
58
+ "state": null,
59
+ "progress": {
60
+ "method": "visual",
61
+ "denominator": 1,
62
+ "base": 0,
63
+ "peak": 1,
64
+ "final": 1,
65
+ "nodes": {
66
+ "free_kick_scored": {
67
+ "method": "visual",
68
+ "intervals": [
69
+ [
70
+ 2.16,
71
+ null
72
+ ]
73
+ ],
74
+ "final": true,
75
+ "evidence": [
76
+ {
77
+ "t": 0.36,
78
+ "log_step": 65,
79
+ "text_zh": "观察:视频 0.16–0.32 s,机器人以左脚着地支撑并将右腿后摆、前挥;视频 0.36–0.52 s,足球已离开脚前原位,向前上方飞出,机器人随后回收踢球腿。log step 65 的最终生成脚本对应右腿挥踢,踢后切换行走策略恢复站姿。"
80
+ },
81
+ {
82
+ "t": 1.0,
83
+ "log_step": null,
84
+ "text_zh": "观察:逐帧检查视频 0.00–2.16 s;足球离脚后向橙色人墙的画面左侧、球门方向行进,视频约 1.00 s 后球路被人墙与远处小尺寸球门区域遮挡,不能直接辨清精确越线瞬间;机器人在视频 0.60–2.16 s 保持站立。参考成功视频的同一固定视角也存在人墙遮挡。"
85
+ },
86
+ {
87
+ "t": 2.16,
88
+ "log_step": 70,
89
+ "text_zh": "推断:评分器 reward 中 success=1、replay_success=1、deterministic=1、stages_reached=2/2,且 metric_ball_x_m=20.542、metric_cross_y_m=1.103、metric_cross_z_m=0.191,确认该交付完成合法踢球及门内越线。log step 70 读取的最终交付文件为 218 行,与评分器 n_actions=218 一致。结合视频中踢出及后续球路,将任意球入门近似定位于视频末帧 2.16 s(约 0.1 s 精度);精确越线时刻受遮挡限制,未把离脚时刻当作完成。"
90
+ }
91
+ ],
92
+ "contact_actual": [
93
+ {
94
+ "who": "腿/躯干",
95
+ "how": "其他",
96
+ "note_zh": "观察:视频 0.28–0.36 s,机器人的右脚前挥击打足球,随后球离脚飞出。候选名称:击打;现有接触方式无踢击项,不能用推/扫代替。"
97
+ },
98
+ {
99
+ "who": "腿/躯干",
100
+ "how": "支撑",
101
+ "note_zh": "观察:视频 0.16–0.36 s,机器人右腿摆动时左脚着地支撑躯干;踢后双足重新支撑,视频 0.60–2.16 s 保持站立。"
102
+ }
103
+ ]
104
+ }
105
+ },
106
+ "constraints": {}
107
+ },
108
+ "native_metrics": [
109
+ {
110
+ "name": "ball_x_m",
111
+ "unit": "m",
112
+ "threshold": 20.49,
113
+ "direction": "higher_better",
114
+ "value": 20.542
115
+ },
116
+ {
117
+ "name": "cross_y_m",
118
+ "unit": "m",
119
+ "threshold": [
120
+ -3.66,
121
+ 3.66
122
+ ],
123
+ "direction": "target",
124
+ "value": 1.103
125
+ },
126
+ {
127
+ "name": "cross_z_m",
128
+ "unit": "m",
129
+ "threshold": [
130
+ 0,
131
+ 2.44
132
+ ],
133
+ "direction": "target",
134
+ "value": 0.191
135
+ }
136
+ ],
137
+ "failure": null,
138
+ "summary_zh": "机器人在视频约 0.32–0.36 s 以右脚踢出足球,踢后恢复站立;评分器确认合法踢球及门内越线,任意球入门节点最终完成 1/1,无失败断点。后段球路被人墙遮挡,已逐帧检查至视频 2.16 s,并结合评分器的越线坐标及确定性成功结果,将完成时间近似标在视频 2.16 s;没有状态日志,精确越线帧不能独立从画面确认。",
139
+ "conf": 8,
140
+ "review": {
141
+ "status": "agreed",
142
+ "rounds": 1,
143
+ "reviewers": [
144
+ {
145
+ "engine": "claude",
146
+ "model": "claude-sonnet-5-5",
147
+ "round": 1,
148
+ "verdict": "agree",
149
+ "conf": 7,
150
+ "summary_zh": "成功运行,单节点 free_kick_scored ��达成;踢球画面、接触(腿/躯干 其他击打 + 支撑)与评分器数值一致,近似完成时间 2.16 s(视频时钟)在约 1 s 内,无失败断点,无需修改。",
151
+ "n_issues": 0,
152
+ "n_major": 0
153
+ }
154
+ ],
155
+ "open_zh": []
156
+ },
157
+ "provenance": {
158
+ "prompt": "prompts/03_trajectory.md",
159
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
160
+ "engine": "codex",
161
+ "model": "gpt-6.1-sol",
162
+ "effort": "high",
163
+ "created": "2026-10-31T00:33:52Z",
164
+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
166
+ "reconcile_prompt": "prompts/05_reconcile.md",
167
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ {
170
+ "stage": "traj",
171
+ "round": 0,
172
+ "ok": true,
173
+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--mvbpbl7/03_label"
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+ },
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+ {
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+ "stage": "traj_review",
177
+ "round": 1,
178
+ "ok": true,
179
+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--mvbpbl7/04_review_r1"
180
+ }
181
+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "91deba13180e2a5caeb4b68349b986435ae91d04460fabc0b8e97f55bd2e4153",
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+ "video_sha256": "8d92f97e2c2f3f33e88fc82d72e6222ff0b389fae2baac36f2756d8cb5857219",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
189
+ }
190
+ }
191
+ }
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1
+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-free-kick-wall-i00-privileged--rctsezi",
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+ "taskKey": "embodied-olympics-fun/free_kick_wall",
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+ "dag_sha256": "6749223ae6b8a425b1f7d86513bee960c64b42ed756a390e3a358baebdc119ab",
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+ "outcome": {
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+ "success": 1,
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+ "reward": 1.0,
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+ "source": "catalog",
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+ "raw": {
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+ "success": 1,
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+ "replay_success": 1,
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+ "deterministic": 1,
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+ "horizon": 3000,
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+ "progress": 1.0,
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+ "stages_reached": 2,
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+ "stages_total": 2,
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+ "fell": 0,
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+ "replay_s": 4.24,
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+ "bad_trajectory": 0,
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+ "metric_ball_x_m": 20.507,
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+ "metric_cross_y_m": 2.607,
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+ "metric_cross_z_m": 0.12,
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+ "metric_fell_after_kick": 1.0,
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+ "metric_kick_speed_m_s": 8.47,
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+ "grader_error": 0,
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+ "video_rendered": 1,
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+ "agent_sessions": 48,
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+ "agent_resets": 2051,
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+ "agent_replays": 22,
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+ "agent_cost_self_reported": 1,
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+ "resource_enforced": 0,
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+ "limits_violation_observed": 0,
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+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0.0,
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+ "peak_memory_gb": 1.044,
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+ "peak_processes": 14,
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+ "peak_disk_gb": 0.981,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0,
47
+ "session_log_tampered": 0,
48
+ "session_log_from_monitor": 0
49
+ }
50
+ },
51
+ "video": {
52
+ "kind": "hf",
53
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--rctsezi/replay.mp4",
54
+ "duration_s": 4.32,
55
+ "fps": 25.0,
56
+ "frames": 108,
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+ "sha256": "7307c252ca000f2bbbe2736def79d9e788549cdeafbd65727c1c2f790d6ab4ff"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 1,
63
+ "base": 0,
64
+ "peak": 1,
65
+ "final": 1,
66
+ "nodes": {
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+ "free_kick_scored": {
68
+ "method": "visual",
69
+ "intervals": [
70
+ [
71
+ 4.28,
72
+ null
73
+ ]
74
+ ],
75
+ "final": true,
76
+ "evidence": [
77
+ {
78
+ "t": 0.6,
79
+ "log_step": null,
80
+ "text_zh": "观察:视频 0.44–0.56 s 机器人在白球后摆动右腿,左脚着地;视频 0.60–0.76 s 白球从右脚前方离开原位并向远处球门方向飞出,右腿继续前摆。"
81
+ },
82
+ {
83
+ "t": 2.6,
84
+ "log_step": null,
85
+ "text_zh": "观察:视频 1.04–2.48 s 白球持续向橙色人墙的画面左侧行进,机器人在球离脚后向后倒地;视频约 2.60 s 后球进入人墙遮挡区域,视频 3.24–4.28 s 的逐帧检查未能辨出被遮挡的球门越线过程。同视角成功参照的后段也存在人墙遮挡,参照仅用于确认视野限制。"
86
+ },
87
+ {
88
+ "t": 4.28,
89
+ "log_step": 183,
90
+ "text_zh": "观察:inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=2/2,球心末位 x=20.507 m,越线横向偏差 2.607 m、高度 0.120 m;log step 183 对最终交付文件的重放返回 success=true、stages=[kick,goal]、failed=null、executed_rows=428。log step 126 的两次独立重放终态散列及上述指标相同。"
91
+ },
92
+ {
93
+ "t": 4.28,
94
+ "log_step": 183,
95
+ "text_zh": "推断:以评分器和最终文件重放的进球记录判定节点完成。log step 120 的生成脚本注明每控制步 0.01 s、先静立 40 步再后摆 12 步及挥踢 4 步;其挥踢结束约仿真 0.56 s,与视频 0.56–0.60 s 的脚触球及离脚核对一致。log step 183 的交付重放在 control step 428 因成功结束,428×0.01=仿真 4.28 s,与视频末帧 4.28 s、总长 4.32 s 一致,因此进球锚点记为视频约 4.28 s;越线位置被人墙遮挡,时间依赖控制步映射而非逐帧直接可见。"
96
+ }
97
+ ],
98
+ "contact_actual": [
99
+ {
100
+ "who": "腿/躯干",
101
+ "how": "其他",
102
+ "note_zh": "观察:视频 0.56–0.60 s 机器人右脚击打足球,球随即向前离脚;候选名称:击打。现有接触方式没有踢击项,不能用推/扫代替。"
103
+ },
104
+ {
105
+ "who": "腿/躯干",
106
+ "how": "支撑",
107
+ "note_zh": "观察:视频 0.44–0.80 s 机器人左脚接触草地,在右腿后摆与向前踢球时承重。"
108
+ }
109
+ ]
110
+ }
111
+ },
112
+ "constraints": {}
113
+ },
114
+ "native_metrics": [
115
+ {
116
+ "name": "ball_x_m",
117
+ "unit": "m",
118
+ "threshold": 20.49,
119
+ "direction": "higher_better",
120
+ "value": 20.507
121
+ },
122
+ {
123
+ "name": "cross_y_m",
124
+ "unit": "m",
125
+ "threshold": [
126
+ -3.66,
127
+ 3.66
128
+ ],
129
+ "direction": "target",
130
+ "value": 2.607
131
+ },
132
+ {
133
+ "name": "cross_z_m",
134
+ "unit": "m",
135
+ "threshold": [
136
+ 0,
137
+ 2.44
138
+ ],
139
+ "direction": "target",
140
+ "value": 0.12
141
+ }
142
+ ],
143
+ "failure": null,
144
+ "summary_zh": "机器人以右脚将足球踢向球门,评分器及交付文件的独立重放均确认合法踢球和进球,唯一节点“任意球入门”最终完成(1/1),进球锚点为视频约 4.28 s。视频中的倒地发生在球离脚之后,按任务规则不否决成功。无人墙后方视角或状态日志,进球越线被人墙遮挡,完成值由评分器确认,时间由已用脚踢事件核对的交付控制步映射推断。",
145
+ "conf": 8,
146
+ "review": {
147
+ "status": "agreed",
148
+ "rounds": 1,
149
+ "reviewers": [
150
+ {
151
+ "engine": "claude",
152
+ "model": "claude-sonnet-5-5",
153
+ "round": 1,
154
+ "verdict": "agree",
155
+ "conf": 8,
156
+ "summary_zh": "成功运行,唯一节点 free_kick_scored 由评分器字段(success=1、stages 2/2、越线指标)和控制步映射判定,时间锚点 4.28 s 与视频长度一致;接触标注(击打=其他、支撑)与视频相符;无失败层。",
157
+ "n_issues": 0,
158
+ "n_major": 0
159
+ }
160
+ ],
161
+ "open_zh": []
162
+ },
163
+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
169
+ "created": "2026-10-31T00:32:33Z",
170
+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ "stage": "traj",
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+ "round": 0,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--rctsezi/03_label"
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+ },
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+ {
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+ "stage": "traj_review",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--rctsezi/04_review_r1"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "5504d64c3df0d2c82b9f4339896affe53f2ec4ada0a84daecc67aa644a0b82f2",
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+ "video_sha256": "7307c252ca000f2bbbe2736def79d9e788549cdeafbd65727c1c2f790d6ab4ff",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ }
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+ }
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+ }
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+ {
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-free-kick-wall-i00-privileged--xzhbvuc",
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+ "taskKey": "embodied-olympics-fun/free_kick_wall",
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+ "outcome": {
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+ "reward": 1.0,
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+ "source": "catalog",
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+ "stages_total": 2,
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+ "fell": 0,
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+ "replay_s": 5.24,
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+ "metric_cross_y_m": 1.749,
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+ "metric_cross_z_m": 0.11,
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+ "metric_fell_after_kick": 1.0,
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+ "metric_kick_speed_m_s": 8.25,
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+ "grader_error": 0,
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+ "video_rendered": 1,
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+ "agent_sessions": 71,
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+ "agent_resets": 1165,
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+ "agent_replays": 9,
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+ "agent_cost_self_reported": 1,
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+ "resource_enforced": 0,
37
+ "limits_violation_observed": 0,
38
+ "resource_monitor_missing": 0,
39
+ "peak_gpu_memory_gb": 0,
40
+ "peak_memory_gb": 1.868,
41
+ "peak_processes": 13,
42
+ "peak_disk_gb": 0.241,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0,
47
+ "session_log_tampered": 0,
48
+ "session_log_from_monitor": 0
49
+ }
50
+ },
51
+ "video": {
52
+ "kind": "hf",
53
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--xzhbvuc/replay.mp4",
54
+ "duration_s": 6.92,
55
+ "fps": 25.0,
56
+ "frames": 173,
57
+ "sha256": "dd3941ab835949bba7f09666548c97b9260842a92b779003ce6238ba9d1e3d1e"
58
+ },
59
+ "state": null,
60
+ "progress": {
61
+ "method": "visual",
62
+ "denominator": 1,
63
+ "base": 0,
64
+ "peak": 1,
65
+ "final": 1,
66
+ "nodes": {
67
+ "free_kick_scored": {
68
+ "method": "visual",
69
+ "intervals": [
70
+ [
71
+ 6.88,
72
+ null
73
+ ]
74
+ ],
75
+ "final": true,
76
+ "evidence": [
77
+ {
78
+ "t": 3.0,
79
+ "log_step": null,
80
+ "text_zh": "观察:视频 2.80–2.96 s 足球仍在机器人脚前,视频 3.00–3.20 s 机器人右脚前摆后足球明显离开原位向前飞出,左脚留在草地支撑;视频约 4.0–4.8 s 足球沿画面中橙色人墙左侧前进。"
81
+ },
82
+ {
83
+ "t": 6.88,
84
+ "log_step": 89,
85
+ "text_zh": "观察:视频 5.84–6.88 s 的密集末段帧中,机器人已倒在原射门位置,球门下部的球路被橙色人墙遮挡,无法直接辨认球心越线瞬间。log step 79 保存的交付轨迹、log step 85 再生成后的重放及 log step 89 最终重放均返回 success=true、stages=[kick,goal]、688 控制步、time_s=6.88,终态散列相同;本次评分器亦记录 replay_success=1、deterministic=1、两阶段全部完成,cross_y_m=1.749、cross_z_m=0.11。"
86
+ },
87
+ {
88
+ "t": 6.88,
89
+ "log_step": 89,
90
+ "text_zh": "推断:结合视频中脚踢及绕墙球路与交付文件的原生重放成功记录,任意球入门节点成立。到达锚点取视频末段约 6.88 s:log step 6 的接口说明给出每控制步 0.01 s,交付重放的 688 步对应仿真 6.88 s,与视频最后一帧 6.88 s、总时长 6.92 s 相符;越线受遮挡,视频定位按约 0.5 s 精度理解,不能由画面独立核验精确球门边界。"
91
+ }
92
+ ],
93
+ "contact_actual": [
94
+ {
95
+ "who": "腿/躯干",
96
+ "how": "其他",
97
+ "note_zh": "观察:视频约 2.96–3.08 s 机器人右脚向前摆击足球,球随即离脚前进;候选名称:击打。现有接触方式无踢击项,故用其他。"
98
+ },
99
+ {
100
+ "who": "腿/躯干",
101
+ "how": "支撑",
102
+ "note_zh": "观察:视频约 2.96–3.20 s 机器人右脚摆击时,左脚接触草地支撑身体;踢后身体倾倒,视频约 4.4 s 已倒地。"
103
+ }
104
+ ]
105
+ }
106
+ },
107
+ "constraints": {}
108
+ },
109
+ "native_metrics": [
110
+ {
111
+ "name": "ball_x_m",
112
+ "unit": "m",
113
+ "threshold": 20.49,
114
+ "direction": "higher_better",
115
+ "value": 20.49
116
+ },
117
+ {
118
+ "name": "cross_y_m",
119
+ "unit": "m",
120
+ "threshold": [
121
+ -3.66,
122
+ 3.66
123
+ ],
124
+ "direction": "target",
125
+ "value": 1.749
126
+ },
127
+ {
128
+ "name": "cross_z_m",
129
+ "unit": "m",
130
+ "threshold": [
131
+ 0,
132
+ 2.44
133
+ ],
134
+ "direction": "target",
135
+ "value": 0.11
136
+ }
137
+ ],
138
+ "failure": null,
139
+ "summary_zh": "本次交付轨迹完成唯一节点“任意球入门”(1/1):视频约 3.0 s 机器人右脚踢球,足球从画面中人墙左侧绕行,交付文件最终重放及评分器均确认进球成功。机器人在视频约 4.4 s 踢后倒地,按任务规则不影响进球计数,因此无失败断点。没有状态日志,末段足球被人墙遮挡,入门时刻以视频末段约 6.88 s 为推断锚点,精确越线位置依赖评分器记录。",
140
+ "conf": 8,
141
+ "review": {
142
+ "status": "agreed",
143
+ "rounds": 1,
144
+ "reviewers": [
145
+ {
146
+ "engine": "claude",
147
+ "model": "claude-sonnet-5-5",
148
+ "round": 1,
149
+ "verdict": "agree",
150
+ "conf": 6,
151
+ "summary_zh": "单节点任意球入门、评分器 success=1、replay_success=1、无失败断点,与视频(约 3.0 s 脚踢、球绕墙、踢后倒地)一致;到达时间 6.88 s 已明示为末段推断锚点且标注精度约 0.5 s,未发现需改内容的错误。",
152
+ "n_issues": 0,
153
+ "n_major": 0
154
+ }
155
+ ],
156
+ "open_zh": []
157
+ },
158
+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
160
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
161
+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
163
+ "effort": "high",
164
+ "created": "2026-10-31T00:33:14Z",
165
+ "review_prompt": "prompts/04_trajectory_review.md",
166
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
167
+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ {
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+ "stage": "traj",
172
+ "round": 0,
173
+ "ok": true,
174
+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--xzhbvuc/03_label"
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+ },
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+ {
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+ "stage": "traj_review",
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+ "round": 1,
179
+ "ok": true,
180
+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-privileged--xzhbvuc/04_review_r1"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "5a6df76020369b3ae32182b714c354901e8ed32ca1310f87fe093d6ea0c868bc",
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+ "video_sha256": "dd3941ab835949bba7f09666548c97b9260842a92b779003ce6238ba9d1e3d1e",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
190
+ }
191
+ }
192
+ }
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+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-free-kick-wall-i00-standard--6ycvwkd",
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+ "taskKey": "embodied-olympics-fun/free_kick_wall",
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+ "dag_sha256": "6749223ae6b8a425b1f7d86513bee960c64b42ed756a390e3a358baebdc119ab",
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+ "outcome": {
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+ "success": 1,
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+ "reward": 1.0,
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+ "source": "catalog",
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+ "raw": {
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+ "success": 1,
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+ "live_success": 1,
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+ "graded_by_live": 1,
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+ "replays": 0,
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+ "live_rule": 1,
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+ "live_verdict_error": 0,
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+ "finalized": 1,
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+ "infra_error": 0,
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+ "grader_error": 0,
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+ "rows": 732,
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+ "reset_budget": 5,
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+ "sim_startups": 1,
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+ "elapsed_s": 1241.1,
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+ "video_rendered": 1,
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+ "first_success": 0,
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+ "first_reason_code": 2,
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+ "resource_enforced": 0,
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+ "limits_violation_observed": 0,
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+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0.0,
40
+ "peak_memory_gb": 3.058,
41
+ "peak_processes": 15,
42
+ "peak_disk_gb": 0.332,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-standard--6ycvwkd/replay.mp4",
52
+ "duration_s": 5.84,
53
+ "fps": 25.0,
54
+ "frames": 146,
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+ "sha256": "7b3786a732ed94fc484fb6aaef56d33b126a007d669b71c8cd6c0c1da166539f"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 1,
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+ "base": 0,
62
+ "peak": 1,
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+ "final": 1,
64
+ "nodes": {
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+ "free_kick_scored": {
66
+ "method": "visual",
67
+ "intervals": [
68
+ [
69
+ 5.8,
70
+ null
71
+ ]
72
+ ],
73
+ "final": true,
74
+ "evidence": [
75
+ {
76
+ "t": 2.08,
77
+ "log_step": null,
78
+ "text_zh": "观察:视频 2.04–2.16 s,G1 机器人右脚向前摆动,原先位于脚前的白球随之离脚并向远处球门方向运动;左脚在触球时接触草地支撑身体。"
79
+ },
80
+ {
81
+ "t": 3.68,
82
+ "log_step": null,
83
+ "text_zh": "观察:视频 2.40–3.68 s,白球持续向橙色人墙画面左侧行进,随后在其左边缘附近被遮住;机器人踢后倒地。视频 4.60–5.80 s 的末段帧中,机器人仍卧地,球门前的球路受人墙遮挡,未直接看见越线瞬间。"
84
+ },
85
+ {
86
+ "t": null,
87
+ "log_step": 49,
88
+ "text_zh": "观察:log step 49 的脚本重置后执行第三次在线射门,机器人服务返回 done=True、reason=success、outcome=success、stages_reached=2、stages_total=2;log step 50 查询同一服务,返回 episode=3、control_steps=580、done=True、reason=success。inputs/run.json 的评分字段 live_success=1、graded_by_live=1,与此一致;此前两次门外越线属于重置前的会话尝试。"
89
+ },
90
+ {
91
+ "t": 5.8,
92
+ "log_step": 50,
93
+ "text_zh": "推断:以第三回合终止成功作为任意球入门事件,节点约在视频 5.80 s 达成并锁存。计时依据是 log step 40 所写驱动的控制周期 dt=0.01 s 与 log step 50 的本回合 control_steps=580,即 580×0.01=5.80 s,和视频末帧 5.80 s、总长 5.84 s 一致;log step 49 的服务本体感受 time_s 在仿真 2.04–2.10 s 显示右膝快速伸展,与视频约 2.08 s 的摆腿触球核对。越线被遮挡,达成时刻由本回合服务终止记录推定,未将离脚或到达人墙前当作完成。"
94
+ }
95
+ ],
96
+ "contact_actual": [
97
+ {
98
+ "who": "腿/躯干",
99
+ "how": "其他",
100
+ "note_zh": "观察:视频约 2.08 s,机器人右足击打白色足球并使球离脚;候选名称:击打。现有接触方式没有踢击项,不能用推/扫表示该次瞬时射门。"
101
+ },
102
+ {
103
+ "who": "腿/躯干",
104
+ "how": "支撑",
105
+ "note_zh": "观察:视频约 2.04–2.16 s,左足接触草地支撑右脚射门;随后机器人倒地,视频约 3.20 s 起躯干贴地。"
106
+ }
107
+ ]
108
+ }
109
+ },
110
+ "constraints": {}
111
+ },
112
+ "native_metrics": [
113
+ {
114
+ "name": "ball_x_m",
115
+ "unit": "m",
116
+ "threshold": 20.49,
117
+ "direction": "higher_better",
118
+ "value": null
119
+ },
120
+ {
121
+ "name": "cross_y_m",
122
+ "unit": "m",
123
+ "threshold": [
124
+ -3.66,
125
+ 3.66
126
+ ],
127
+ "direction": "target",
128
+ "value": null
129
+ },
130
+ {
131
+ "name": "cross_z_m",
132
+ "unit": "m",
133
+ "threshold": [
134
+ 0,
135
+ 2.44
136
+ ],
137
+ "direction": "target",
138
+ "value": null
139
+ }
140
+ ],
141
+ "failure": null,
142
+ "summary_zh": "评分回合为第三次在线尝试:机器人在视频约 2.08 s 用右足踢出足球,踢后倒地,机器人服务确认任意球入门,最终完成 1/1 节点。入门事件约在视频 5.80 s 锁存,依据本回合服务成功终止及控制步数推定;踢后倒地不否决本任务的成功。证据缺口是人墙遮住末段球路且没有状态日志,不能从画面独立核验精确越线位置;评分字段也未���告三个原生位置指标,故其值均留空。",
143
+ "conf": 7,
144
+ "review": {
145
+ "status": "agreed",
146
+ "rounds": 1,
147
+ "reviewers": [
148
+ {
149
+ "engine": "claude",
150
+ "model": "claude-sonnet-5-5",
151
+ "round": 1,
152
+ "verdict": "agree",
153
+ "conf": 7,
154
+ "summary_zh": "成功回合,唯一节点 free_kick_scored 为真、约视频 5.80 s,由第三回合服务成功终止和 580×0.01 s 控制步数推定,并在 2.08 s 的踢球事件处核对;接触(击打 + 支撑)符合画面,failure 为空合理。未发现需要修改的错误。",
155
+ "n_issues": 0,
156
+ "n_major": 0
157
+ }
158
+ ],
159
+ "open_zh": []
160
+ },
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
167
+ "created": "2026-10-31T00:36:16Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ {
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+ "stage": "traj",
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+ "round": 0,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-standard--6ycvwkd/03_label"
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+ },
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+ {
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+ "stage": "traj_review",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-standard--6ycvwkd/04_review_r1"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "4af958394698d6c1e540a4e992f5d307bce5322fbdb313fa1ae5e04cb22745e8",
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+ "video_sha256": "7b3786a732ed94fc484fb6aaef56d33b126a007d669b71c8cd6c0c1da166539f",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ }
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+ }
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+ }
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+ {
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+ "source": "catalog",
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+ "sim_steps": 2287,
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+ "calls": 18,
28
+ "rows": 113,
29
+ "resets": 2,
30
+ "reset_budget": 5,
31
+ "sim_startups": 1,
32
+ "elapsed_s": 5510.4,
33
+ "video_rendered": 1,
34
+ "first_success": 0,
35
+ "first_reason_code": 2,
36
+ "resource_enforced": 0,
37
+ "limits_violation_observed": 0,
38
+ "resource_monitor_missing": 0,
39
+ "peak_gpu_memory_gb": 0.0,
40
+ "peak_memory_gb": 0.86,
41
+ "peak_processes": 7,
42
+ "peak_disk_gb": 0.339,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-standard--eptpvpb/replay.mp4",
52
+ "duration_s": 3.92,
53
+ "fps": 25.0,
54
+ "frames": 98,
55
+ "sha256": "5573a8ae8ae7b8d3b7b6b7e6f7ae09c870d526f9ad258b33874252005437e787"
56
+ },
57
+ "state": null,
58
+ "progress": {
59
+ "method": "visual",
60
+ "denominator": 1,
61
+ "base": 0,
62
+ "peak": 1,
63
+ "final": 1,
64
+ "nodes": {
65
+ "free_kick_scored": {
66
+ "method": "visual",
67
+ "intervals": [
68
+ [
69
+ 3.89,
70
+ null
71
+ ]
72
+ ],
73
+ "final": true,
74
+ "evidence": [
75
+ {
76
+ "t": 0.28,
77
+ "log_step": 188,
78
+ "text_zh": "观察:视频 0.00–0.24 s 足球在机器人脚前;视频 0.24–0.32 s 机器人右脚前摆至足球处,球随即离开原位、向球门方向飞出,左脚接触草地支撑。log step 188 中 agent 脚本重置至 episode=3 后提交右腿踢球动作;这与本段视频的起始射门一致。"
79
+ },
80
+ {
81
+ "t": 2.6,
82
+ "log_step": null,
83
+ "text_zh": "观察:视频 0.32–0.80 s 足球已与机器人分离,机器人随后倒地;视频 1.60–2.64 s 足球继续接近画面中橙色人墙的左侧边缘。已逐帧查看视频 2.68–3.88 s 的人墙与球门区域,球路被人墙遮挡,无法直接看清球心越过球门线的瞬间。"
84
+ },
85
+ {
86
+ "t": 3.88,
87
+ "log_step": 188,
88
+ "text_zh": "观察:log step 188 的基准服务响应报告最后在线回合 episode=3、control_steps=389、sim_time_s=3.89、done=True、reason=success、outcome=success、stages_reached=2、stages_total=2;inputs/run.json 的 reward 同时给出 live_success=1、graded_by_live=1、finalized=1。此为服务端裁判结果;log step 176、178 的失败分别属于此前已重置的 episode=1、2。"
89
+ },
90
+ {
91
+ "t": 3.89,
92
+ "log_step": 188,
93
+ "text_zh": "推断:以最后回合服务端裁判结果确认任意球入门。log step 3 给出控制周期 0.01 s,log step 188 的最后回合控制步 389 对应仿真 3.89 s;该回合视频长 3.92 s,且提交动作结束于控制步 30(仿真 0.30 s)与视频 0.28–0.32 s 所见脚部完成前摆、球离脚相符,据此将成功时刻映射为约视频 3.89 s(末帧为视频 3.88 s,存在一帧以内的采样误差)。节点为事件型,进球后保持已达成;不从球离脚时提前计为完成。"
94
+ }
95
+ ],
96
+ "contact_actual": [
97
+ {
98
+ "who": "腿/躯干",
99
+ "how": "其他",
100
+ "note_zh": "观察:视频 0.24–0.32 s 机器人右脚挥向足球,足球随即离脚飞出。候选名称:击打;这是瞬时踢击,现有接触方式无踢击项。"
101
+ },
102
+ {
103
+ "who": "腿/躯干",
104
+ "how": "支撑",
105
+ "note_zh": "观察:视频 0.12–0.28 s 机器人挥右腿射门时,左脚接触草地支撑身体;视频 0.40–0.80 s 机器人在球已离脚后倒地。"
106
+ }
107
+ ]
108
+ }
109
+ },
110
+ "constraints": {}
111
+ },
112
+ "native_metrics": [
113
+ {
114
+ "name": "ball_x_m",
115
+ "unit": "m",
116
+ "threshold": 20.49,
117
+ "direction": "higher_better",
118
+ "value": null
119
+ },
120
+ {
121
+ "name": "cross_y_m",
122
+ "unit": "m",
123
+ "threshold": [
124
+ -3.66,
125
+ 3.66
126
+ ],
127
+ "direction": "target",
128
+ "value": null
129
+ },
130
+ {
131
+ "name": "cross_z_m",
132
+ "unit": "m",
133
+ "threshold": [
134
+ 0,
135
+ 2.44
136
+ ],
137
+ "direction": "target",
138
+ "value": null
139
+ }
140
+ ],
141
+ "failure": null,
142
+ "summary_zh": "最后受评的在线回合为 episode=3:机器人在视频约 0.28 s 用右脚踢出足球,球向人墙侧方及球门方向前进,服务端裁判在约视频 3.89 s 确认成功,任意球入门节点最终为 1/1。机器人踢后倒地不影响该任务验收;此前两个重置回合的失败不计入本段轨迹。证据缺口:末段球路受人墙遮挡,精确越线依服务端结果及控制步映射确认;无状态日志,评分 reward 未报告 DAG 所列三项原生距离指标,均保留 null。",
143
+ "conf": 8,
144
+ "review": {
145
+ "status": "agreed",
146
+ "rounds": 1,
147
+ "reviewers": [
148
+ {
149
+ "engine": "claude",
150
+ "model": "claude-sonnet-5-5",
151
+ "round": 1,
152
+ "verdict": "agree",
153
+ "conf": 8,
154
+ "summary_zh": "成功回合标注与视频和服务端结果一致:任意球入门节点 final=true,时刻由控制步 389 映射到视频约 3.89 s,并写明了映射与核对依据;接触标注符合击打规则(S16);failure 为 null 合理。",
155
+ "n_issues": 0,
156
+ "n_major": 0
157
+ }
158
+ ],
159
+ "open_zh": []
160
+ },
161
+ "provenance": {
162
+ "prompt": "prompts/03_trajectory.md",
163
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
164
+ "engine": "codex",
165
+ "model": "gpt-6.1-sol",
166
+ "effort": "high",
167
+ "created": "2026-10-31T00:37:35Z",
168
+ "review_prompt": "prompts/04_trajectory_review.md",
169
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
170
+ "reconcile_prompt": "prompts/05_reconcile.md",
171
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
172
+ "calls": [
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+ {
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+ "stage": "traj",
175
+ "round": 0,
176
+ "ok": true,
177
+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-standard--eptpvpb/03_label"
178
+ },
179
+ {
180
+ "stage": "traj_review",
181
+ "round": 1,
182
+ "ok": true,
183
+ "space": "work/runs/embodied-olympics-fun-free-kick-wall-i00-standard--eptpvpb/04_review_r1"
184
+ }
185
+ ],
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+ "review_engine": "claude",
187
+ "review_model": "claude-sonnet-5-5",
188
+ "inputs": {
189
+ "run_json_sha256": "26e7212a9f6e4554d23a1f39a8d36c1996702fd4d9f957cbf57f3edad33a3c25",
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+ "video_sha256": "5573a8ae8ae7b8d3b7b6b7e6f7ae09c870d526f9ad258b33874252005437e787",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
193
+ }
194
+ }
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+ }
phase2/embodied-olympics-fun/free_kick_wall/trajectories/embodied-olympics-fun-free-kick-wall-i00-standard--fuqux4f.json ADDED
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1
+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-free-kick-wall-i00-standard--fuqux4f",
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+ "taskKey": "embodied-olympics-fun/free_kick_wall",
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+ "dag_sha256": "6749223ae6b8a425b1f7d86513bee960c64b42ed756a390e3a358baebdc119ab",
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+ "outcome": {
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+ "source": "catalog",
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+ "raw": {
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+ "success": 0,
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+ "graded_by_live": 1,
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+ "replays": 0,
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+ "live_rule": 1,
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+ "live_verdict_error": 0,
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+ "infra_error": 0,
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+ "grader_error": 0,
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+ "sim_error": 0,
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+ "sim_crashed_on_call": 0,
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+ "instance_mismatch": 0,
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+ "n_actions": 1184,
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+ "sim_steps": 2999,
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+ "calls": 22,
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+ "rows": 292,
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+ "resets": 5,
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+ "reset_budget": 5,
31
+ "sim_startups": 1,
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+ "elapsed_s": 2600.2,
33
+ "video_rendered": 1,
34
+ "first_success": 0,
35
+ "first_reason_code": 3,
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+ "resource_enforced": 0,
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+ "limits_violation_observed": 0,
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+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0,
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+ "peak_memory_gb": 1.141,
41
+ "peak_processes": 14,
42
+ "peak_disk_gb": 1.415,
43
+ "resource_emergency_kills": 0,
44
+ "resource_oom_kills": 0,
45
+ "resource_host_oom_kills": 0,
46
+ "resource_service_oom_kills": 0
47
+ }
48
+ },
49
+ "video": {
50
+ "kind": "hf",
51
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-standard--fuqux4f/replay.mp4",
52
+ "duration_s": 11.88,
53
+ "fps": 25.0,
54
+ "frames": 297,
55
+ "sha256": "72170108fba76c94f9aa155b3d858aca0827f9305649889028e0c3faa5f99174"
56
+ },
57
+ "state": null,
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+ "progress": {
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+ "method": "visual",
60
+ "denominator": 1,
61
+ "base": 0,
62
+ "peak": 0,
63
+ "final": 0,
64
+ "nodes": {
65
+ "free_kick_scored": {
66
+ "method": "visual",
67
+ "intervals": [],
68
+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 0.48,
72
+ "log_step": 284,
73
+ "text_zh": "观察:视频 0.40–0.52 s,机器人右脚向前摆动,白球从右脚前方离开并向人墙飞行;左脚着地支撑。log step 284 的机器人服务状态为 episode=6,表明这是最后一次在线回合。"
74
+ },
75
+ {
76
+ "t": 1.9,
77
+ "log_step": null,
78
+ "text_zh": "推断:视频 1.56–1.92 s,白球接近并与橙色人墙正面轮廓重合,随后在视频 2.00–3.00 s 退回人墙前方,视频 4.00–6.80 s 持续滚向近处并离开画面下沿,说明射门被人墙挡回,未穿过远处球门。"
79
+ },
80
+ {
81
+ "t": 11.84,
82
+ "log_step": 288,
83
+ "text_zh": "观察:视频 10.80–11.84 s 机器人始终倒地,球门处没有球进入;log step 288 中机器人服务返回的内置裁判字段为 done=True、reason=failed、outcome=\"the ball came to rest without a goal\"、stages_reached/stages_total=1/2,确认只完成原生踢球阶段,未完成入门。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "其他",
90
+ "note_zh": "观察:视频 0.40–0.52 s,机器人右脚击中白色足球并将其踢离原位。候选名称:击打;现有接触方式没有踢击项,不能用推/扫代替。"
91
+ },
92
+ {
93
+ "who": "腿/躯干",
94
+ "how": "支撑",
95
+ "note_zh": "观察:视频 0.00–0.60 s,机器人左脚接触草地,支撑右腿摆动踢球;视频约 1.20 s 后躯干倒地接触草地。"
96
+ }
97
+ ]
98
+ }
99
+ },
100
+ "constraints": {}
101
+ },
102
+ "native_metrics": [
103
+ {
104
+ "name": "ball_x_m",
105
+ "unit": "m",
106
+ "threshold": 20.49,
107
+ "direction": "higher_better",
108
+ "value": null
109
+ },
110
+ {
111
+ "name": "cross_y_m",
112
+ "unit": "m",
113
+ "threshold": [
114
+ -3.66,
115
+ 3.66
116
+ ],
117
+ "direction": "target",
118
+ "value": null
119
+ },
120
+ {
121
+ "name": "cross_z_m",
122
+ "unit": "m",
123
+ "threshold": [
124
+ 0,
125
+ 2.44
126
+ ],
127
+ "direction": "target",
128
+ "value": null
129
+ }
130
+ ],
131
+ "failure": {
132
+ "breakpoint": {
133
+ "ref": "free_kick_scored",
134
+ "t": 1.9,
135
+ "log_step": null,
136
+ "where": "操作中",
137
+ "evidence_zh": "推断:视频约 1.8–2.0 s,已被机器人踢出的白球在人墙正面改变运动方向,随后向踢球位置滚回,射门未进入球门且此后没有修复。log step 288 的内置裁判最终报告球停下未进球、阶段 1/2;踢后倒地按任务规则不否决进球,因此断点取任意球入门步骤。"
138
+ },
139
+ "unmet": {
140
+ "free_kick_scored": false
141
+ },
142
+ "phenomena": [
143
+ {
144
+ "cat": "运动",
145
+ "item": "被挡/碰撞",
146
+ "t": 1.9,
147
+ "log_step": null,
148
+ "evidence_zh": "推断:视频 1.56–1.92 s,白球向橙色人墙前进并出现在其正面轮廓内;视频 2.00–3.00 s 球从人墙前反向退回,视频 4.00–6.80 s 滚回机器人附近及画面下沿。前后连续帧支持球撞上人墙而被挡回,并非仅凭未进球判碰撞。"
149
+ }
150
+ ],
151
+ "root_causes": [
152
+ {
153
+ "cat": "控制",
154
+ "item": "控制",
155
+ "source_zh": "日志 / 视频",
156
+ "evidence_zh": "推断:log step 280 的 agent 脚本选定右腿摆动航点,log step 284 将该航点序列用于最后在线回合;视频 0.40–0.52 s 显示右脚确实踢出球,但视频约 1.9 s 的球路撞上人墙并返回,未实现任务所需的绕墙或越墙射门。证据支持击球控制未产生所需球路,不能进一步区分足部接触几何、关节跟踪或具体参数问题。"
157
+ }
158
+ ],
159
+ "gap_zh": "观察:inputs/ 中没有状态日志,也没有本回合的逐时接触对或球速原生指标;球在固定视角仅数个像素,碰墙判定依赖接近、轮廓重合及反向返回的连续帧,碰撞时刻约为视频 1.9 s。log step 308 中 agent 自述“绕过人墙,只因速度不足而在约 11 米处停下”,与视频 2.00–6.80 s 球向近处滚回不符,未采用该自述作为本回合事实;现有证据不能核实其球速、摩擦或本地模型差异的具体归因。球离开画面后停下的精确位置不可见,但内置裁判结果确认未进球。"
160
+ },
161
+ "summary_zh": "最后评分回合中,机器人右脚在视频约 0.48 s 踢出足球,但球在视频约 1.9 s 被橙色人墙挡回,唯一节点“任意球入门”未达成,终态为 0/1。击球控制未形成绕墙或越墙的入门球路;内置裁判在 log step 288 报告球停下未进门、原生阶段 1/2。无状态日志,具体触球动力学及球离开画面后的停球位置不可核实,agent 关于“绕墙后仅力度不足”的自述与视频不符。",
162
+ "conf": 8,
163
+ "review": {
164
+ "status": "agreed",
165
+ "rounds": 1,
166
+ "reviewers": [
167
+ {
168
+ "engine": "claude",
169
+ "model": "claude-sonnet-5-5",
170
+ "round": 1,
171
+ "verdict": "agree",
172
+ "conf": 7,
173
+ "summary_zh": "节点未达成、断点在 free_kick_scored、被挡/碰撞与控制根因均有视频支撑:视频约 1.6–2.0 s 球与人墙轮廓重合并在墙底下落,随后向近处回滚;log step 288 的服务裁判读数确认 1/2、未进球。未发现需修改之处。",
174
+ "n_issues": 0,
175
+ "n_major": 0
176
+ }
177
+ ],
178
+ "open_zh": []
179
+ },
180
+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
182
+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
183
+ "engine": "codex",
184
+ "model": "gpt-6.1-sol",
185
+ "effort": "high",
186
+ "created": "2026-10-31T00:54:16Z",
187
+ "review_prompt": "prompts/04_trajectory_review.md",
188
+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
190
+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
191
+ "calls": [
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+ "text_zh": "观察:视频 0.00 s,机器人站在白球后方,白球位于近处草地,橙色人墙与白色球门在远处。"
74
+ },
75
+ {
76
+ "t": 3.4,
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+ "log_step": 116,
78
+ "text_zh": "观察:视频 2.60–3.60 s 逐帧检查中,机器人在末段挥腿并向前倾倒,白球仍在原起球点附近,未向人墙或球门行进;视频 3.60 s 最后一帧也没有球入门。log step 116 的服务返回记录最后回合 a6-final:kick 段 done=True、reason=failed、outcome=fell,control_steps=361;run.json 的 n_actions=361,确认此前其他回合的触球测试不是本段评分结果。"
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+ }
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+ ],
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+ "contact_actual": [
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+ {
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+ "who": "腿/躯干",
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+ "how": "支撑",
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+ "note_zh": "观察:视频 0.00–3.28 s,机器人双脚接触草地站立;视频约 3.36–3.60 s 挥腿时支撑姿态破坏、身体前倾。未观察到白球被踢离起点,故不补记脚与球的击打接触。"
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+ }
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+ ]
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+ }
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+ "constraints": {}
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+ "native_metrics": [
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+ {
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98
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101
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105
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+ "evidence_zh": "观察:视频 3.32–3.60 s,机器人从直立姿态转为腿部展开、躯干持续前倾的失稳姿态,末帧尚未完全倒卧;log step 116 的服务已判定该回合 fell,白球未被送向人墙。"
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+ "cat": "控制",
144
+ "item": "控制",
145
+ "t": 3.4,
146
+ "log_step": 116,
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+ "evidence_zh": "推断:踢球动作的全身控制未能维持挥腿期间的支撑平衡。log step 80 的 gen.py 将踢球实现为预设关节 PD 目标与前馈力矩的开环 lowcmd 动作;log step 116 以该脚本执行最终配置,服务报告 kick 段 fell 且 clipped=39,视频 3.36–3.60 s 同时显示挥腿时身体前倾失稳。现有证据足以定位控制层,但不能证明某一个力矩参数或截断就是直接原因。",
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+ "source_zh": "日志 / 视频"
149
+ }
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+ ],
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+ "summary_zh": "本次评分采用最后在线回合 a6-final,机器人开始任意球挥腿动作,但白球一直留在起点附近,任意球入门未达成,最终为 0/1。视频约 3.4 s 机器人明显前倾失稳,log step 116 的服务以 fell 结束该回合,证据支持控制层失败。没有状态与接触日志,无法确认细微脚球接触或具体失稳机制;此前测试中的合法触球不属于本次评分回合。",
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+ "conf": 8,
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+ "summary_zh": "标签与视频、日志一致:评分回合 a6-final 在视频约 3.3–3.6 s 挥腿后前倾失稳,白球原地不动,free_kick_scored 未达成;断点、平衡现象和控制根因(停在大类)均有证据支持,未发现需修改之处。",
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-standard--ttwwtmp/replay.mp4",
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+ "duration_s": 1.92,
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+ "fps": 25.0,
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+ "frames": 48,
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+ "sha256": "b38ab3f5602a30d5e555c5a14e09ed8ebd144055d6d30c43d19a9f5c14572063"
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+ },
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+ "nodes": {
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+ "final": false,
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+ "evidence": [
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+ {
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+ "t": 0.0,
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+ "log_step": null,
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+ "text_zh": "观察:视频 0.00 s,G1 站在白球后,白球位于起踢点;远处可见橙色人墙和白色球门,尚未发生射门入门。"
72
+ },
73
+ {
74
+ "t": 1.76,
75
+ "log_step": 236,
76
+ "text_zh": "观察:视频 1.48–1.88 s 的连续帧中,机器人摆腿、躯干大幅倾斜并倒下,白球仍在原起踢点附近,没有被送向人墙或球门;视频 1.88 s 最后一帧仍可在倒下机器人旁辨认白球。log step 236 的在线服务返回 episode 23、executed_rows=191、sim_time_s=1.91、done=True、reason=failed,与本次短视频的结束相符。"
77
+ },
78
+ {
79
+ "t": 1.88,
80
+ "log_step": 237,
81
+ "text_zh": "观察:log step 237 仅恢复 gen.py 的参数并执行 --dry,输出 185 rows, 1.85s,没有再次 reset 或 submit;log step 238 却自述最后一局为合法踢球、球停在约 10 米处。视频 1.88 s 的白球仍在起踢点附近,该自述不能用于本局节点判定。"
82
+ }
83
+ ],
84
+ "contact_actual": [
85
+ {
86
+ "who": "腿/躯干",
87
+ "how": "支撑",
88
+ "note_zh": "观察:视频 0.00–1.60 s,机器人的双足接触草地支撑站立与射门准备,随后摆腿时失衡倒下。"
89
+ },
90
+ {
91
+ "who": "未知",
92
+ "how": "未知",
93
+ "note_zh": "观察:视频 1.60–1.88 s,白球留在原处附近,与机器人足腿及倒下的身体局部重叠;无法确认具体足球或其他部位的碰撞接触,不将摆腿动作直接记为已发生击打。"
94
+ }
95
+ ]
96
+ }
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+ },
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+ "constraints": {}
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+ },
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+ "native_metrics": [
101
+ {
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+ "name": "ball_x_m",
103
+ "unit": "m",
104
+ "threshold": 20.49,
105
+ "direction": "higher_better",
106
+ "value": null
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+ {
109
+ "name": "cross_y_m",
110
+ "unit": "m",
111
+ "threshold": [
112
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113
+ 3.66
114
+ ],
115
+ "direction": "target",
116
+ "value": null
117
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+ {
119
+ "name": "cross_z_m",
120
+ "unit": "m",
121
+ "threshold": [
122
+ 0,
123
+ 2.44
124
+ ],
125
+ "direction": "target",
126
+ "value": null
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128
+ ],
129
+ "failure": {
130
+ "breakpoint": {
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+ "ref": "free_kick_scored",
132
+ "t": 1.68,
133
+ "log_step": 236,
134
+ "where": "操作中",
135
+ "evidence_zh": "观察:视频 1.60–1.88 s,G1 正在摆腿射门,躯干迅速倾斜、骨盆下降,至视频 1.88 s 已翻倒,白球仍在起踢点附近;log step 236 的最后一次在线回合在仿真 1.91 s 返回 failed,此后未再执行新的回合。"
136
+ },
137
+ "unmet": {
138
+ "free_kick_scored": false
139
+ },
140
+ "phenomena": [
141
+ {
142
+ "cat": "全身",
143
+ "item": "平衡",
144
+ "t": 1.68,
145
+ "log_step": 236,
146
+ "evidence_zh": "观察:视频 1.60 s 机器人开始明显倾斜;视频 1.68–1.80 s 倾斜持续加剧,摆出的腿抬高而躯干和骨盆下落;视频 1.84–1.88 s 机器人倒下,未恢复站立,球没有离开起踢点附近。"
147
+ }
148
+ ],
149
+ "root_causes": [
150
+ {
151
+ "cat": "控制",
152
+ "item": "控制",
153
+ "source_zh": "视频",
154
+ "evidence_zh": "推断:视频 1.60–1.88 s 显示失稳发生在射门摆腿过程中,球未被送出;log step 141 的驱动脚本按预设关节指令分阶段提交 lowcmd,log step 236 又采用直立姿态和中等摆腿参数,服务执行中提前返回 failed。结合这些证据,本局射门动作未维持身体支撑,归入控制;现有证据不足以区分接触布局、轨迹与跟踪控制等子类。"
155
+ },
156
+ {
157
+ "cat": "交付",
158
+ "item": "交付操作出错",
159
+ "source_zh": "日志",
160
+ "evidence_zh": "推断:log step 236 最后一次实际 reset/submit 的是直立姿态尝试,服务返回 episode 23、191 个执行行、failed,评分器 n_actions=191 且 graded_by_live=1;log step 237 明确想把最终方案恢复为蹲姿方案,却只改脚本并运行 --dry,没有再次在线执行。因此修改后的方案没有成为受评分回合,留下的仍是视频所示倒下的最后一次尝试。"
161
+ }
162
+ ],
163
+ "gap_zh": "没有状态日志;现有在线回合结果仅给出 failed,未报告具体违规项、合法脚触球阶段或碰撞对。视频末段足腿与白球局部重叠,不能确定是否存在短暂接触及其合法性,也不能确认立即判负究竟由踢前倒地还是其他触球规则触发;因此不另加接触类现象或具体控制子类。run.json 的评分字段没有报告 ball_x_m、cross_y_m、cross_z_m,三项原生指标均留空。log step 238 关于球停在约 10 米处的自述与视频不符,以视频及最后实际执行记录为准。"
164
+ },
165
+ "summary_zh": "观察:本局只完成了射门准备和摆腿,视频 1.60–1.88 s 机器人失衡倒下,白球仍在起踢点附近,任意球入门节点未达成,终态为 0/1。推断:射门的全身控制未维持支撑;log step 237 恢复脚本参数后仅运行 --dry,未替换 log step 236 已失败的最后在线回合。观察:缺少状态日志和具体违规返回,无法确定足球接触及精确判负机制,不能采用 log step 238 所称球滚至约 10 米处的结局。",
166
+ "conf": 8,
167
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168
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169
+ "rounds": 1,
170
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+ "summary_zh": "视频仅 1.92 s,与标注一致:1.60–1.88 s 摆腿失衡倒下,白球留在起踢点附近,节点未达成,断点 free_kick_scored/操作中,平衡现象与控制根因有帧证据支持;log step 236 的 failed 返回(191 行、1.91 s)与视频吻合,step 238 的自述被正确弃用。交付操作出错属推断,但已按推断标注并有 n_actions=191 支撑,不要求改动。",
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-standard--vftxwqj/replay.mp4",
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+ "duration_s": 12.44,
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+ "evidence": [
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+ {
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+ "t": 1.12,
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+ "log_step": 72,
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+ "text_zh": "观察:视频 0.96–1.12 s 中机器人以左脚支撑、右脚向前摆动;视频 1.12 s 右脚抵达白球,视频 1.16–1.60 s 球已离开原位并向人墙飞行,机器人随后恢复双足站立。"
74
+ },
75
+ {
76
+ "t": 2.8,
77
+ "log_step": null,
78
+ "text_zh": "观察:视频 2.48–2.80 s 白球接近橙色人墙在画面左侧的端部,视频 2.80–3.28 s 球沿人墙前侧下落并离墙回弹;视频 4–10 s 球向机器人方向返回,未进入远处白色球门。"
79
+ },
80
+ {
81
+ "t": 12.4,
82
+ "log_step": 76,
83
+ "text_zh": "观察:视频 11.40–12.40 s 球在机器人附近的草地上基本静止,仍远离球门;log step 70 重置得到 episode=6,此后的 log step 76 服务终局记录同为 episode=6、control_steps=1242、sim_time_s=12.42、stages_reached=1/2,裁判结果为“the ball came to rest without a goal”,与本次视频的回弹停球一致。前五个回合的射门不计入本节点。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "其他",
90
+ "note_zh": "观察:视频 1.12–1.16 s,机器人右脚向前击打白色足球并使球飞离;候选名称:击打。"
91
+ },
92
+ {
93
+ "who": "腿/躯干",
94
+ "how": "支撑",
95
+ "note_zh": "观察:视频 0.96–1.16 s,机器人左脚接触草地,支撑躯干和右腿射门;踢球后机器人恢复双足支撑。"
96
+ }
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+ ]
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+ }
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+ },
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+ "constraints": {}
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+ },
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+ "native_metrics": [
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+ {
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+ "unit": "m",
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+ "direction": "higher_better",
108
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+ "unit": "m",
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115
+ 3.66
116
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+ 0,
125
+ 2.44
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+ ],
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+ "direction": "target",
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+ ],
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+ "failure": {
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+ "breakpoint": {
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134
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135
+ "log_step": null,
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+ "where": "操作中",
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+ "evidence_zh": "观察:视频 1.12–1.16 s 机器人已经踢出球,视频约 2.80 s 球撞到橙色人墙在画面左侧的端部,随后向来球方向回弹;视频 11.40–12.40 s 球停在机器人附近,未完成任意球入门。log step 76 的第 6 回合裁判记录为球未进门便停下、仅到达 1/2 原生阶段。"
138
+ },
139
+ "unmet": {
140
+ "free_kick_scored": false
141
+ },
142
+ "phenomena": [
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+ {
144
+ "cat": "运动",
145
+ "item": "被挡/碰撞",
146
+ "t": 2.8,
147
+ "log_step": null,
148
+ "evidence_zh": "观察:视频 2.48–2.80 s 球向橙色人墙端部靠近,在视频约 2.80 s 出现在该端部板面处;视频 2.84–3.28 s 球转向画面左下方离开人墙,视频 4–10 s 持续向机器人返回。人墙接触阻断了这次射门,没有后续入门。"
149
+ }
150
+ ],
151
+ "root_causes": [
152
+ {
153
+ "cat": "控制",
154
+ "item": "控制",
155
+ "log_step": 70,
156
+ "evidence_zh": "推断:agent 在 log step 67 明确要保留前次射门时序并调整横向击球位置;log step 70 将横向目标从 -0.155 m 改为 -0.137 m,并以 pre_roll=-0.138 执行最后��合,log step 71–72 记录了相应摆腿命令与关节反馈。结合视频 1.12–1.16 s 确有脚踢、视频约 2.80 s 球撞墙回弹,说明本次射门控制未产生预期绕墙入门的球路;证据支持控制层面的方向控制失败,尚不能区分接触几何、轨迹跟踪或具体参数的贡献。",
157
+ "source_zh": "日志"
158
+ }
159
+ ],
160
+ "gap_zh": "没有状态日志,也没有本回合球足接触点、接触力及出球速度的原生记录,无法确定方向误差的具体控制子类;评分器未报告 DAG 所列 ball_x_m、cross_y_m、cross_z_m,三个原生指标均记 null。固定远景中的人墙局部遮挡球,碰撞时间仅定位到视频约 2.8 s;连续前后帧和终局服务记录足以判定未进门。"
161
+ },
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+ "summary_zh": "评分对应最后一次重置后的第 6 回合:机器人在视频约 1.12 s 用右脚踢出足球,但“任意球入门”始终未达,节点终值为 0/1。球在视频约 2.8 s 撞上橙色人墙端部后回弹,最终停在机器人附近,log step 76 的裁判终局记录与此一致;根因归为射门控制,缺少接触与球速记录,无法细分具体控制机制。",
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+ "conf": 8,
164
+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 6,
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+ "summary_zh": "节点 free_kick_scored 未达成、断点、时钟、接触(脚击打+支撑脚)与被挡/碰撞现象均与视频和 log 终局记录(episode 6,球停下未进门,1/2 阶段)一致;球太小,撞墙细节只能大致确认,未发现需改动的错误。",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-free-kick-wall-i00-standard--wfuqpbk/replay.mp4",
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+ "duration_s": 1.88,
53
+ "fps": 25.0,
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+ "frames": 47,
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+ "sha256": "8ff5edf00be78e0c151ca3c250e52e14ed9d84285a5b04e136b392d13072dcda"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 1,
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+ "base": 0,
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+ "peak": 0,
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+ "final": 0,
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+ "nodes": {
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+ "free_kick_scored": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 0,
72
+ "log_step": 75,
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+ "text_zh": "观察:log step 75 调用了最后一次 reset,log step 76–79 随后执行转身、保持和伸右膝踢球;视频 0.00 s 从球后站立姿态开始,足球在机器人前方。此前各回合仅作会话背景,不计入本次进度。"
74
+ },
75
+ {
76
+ "t": 1.84,
77
+ "log_step": null,
78
+ "text_zh": "观察:逐帧检查视频 0.00–1.84 s,白球始终留在起点附近、人墙前方;视频 1.56–1.84 s 机器人明显前倾、身体下坠,一条腿向后拖开,球没有向人墙或球门飞出,任意球入门未发生。"
79
+ },
80
+ {
81
+ "t": null,
82
+ "log_step": 81,
83
+ "text_zh": "观察:评分器 reward.success=0、live_success=0、graded_by_live=1;agent 在 log step 80–81 自述最后回合以“fell”结束、裁判阶段为 0/2。后者是 agent 对结果的转述,相关调用的 out.text 为空;节点未完成由视频中球始终未离开起点附近直接支持。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "支撑",
90
+ "note_zh": "观察:视频 0.00–1.52 s 机器人双足交替或共同接触草地,支撑转身及踢球准备;视频 1.56–1.84 s 支撑失稳,一条腿后拖。足球一直停在前方,未见实际脚球击打,不追加计划中的击打接触。"
91
+ }
92
+ ]
93
+ }
94
+ },
95
+ "constraints": {}
96
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97
+ "native_metrics": [
98
+ {
99
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101
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102
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103
+ "direction": "higher_better"
104
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106
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107
+ "value": null,
108
+ "unit": "m",
109
+ "threshold": [
110
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111
+ 3.66
112
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113
+ "direction": "target"
114
+ },
115
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116
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117
+ "value": null,
118
+ "unit": "m",
119
+ "threshold": [
120
+ 0,
121
+ 2.44
122
+ ],
123
+ "direction": "target"
124
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125
+ ],
126
+ "failure": {
127
+ "breakpoint": {
128
+ "ref": "free_kick_scored",
129
+ "t": 1.6,
130
+ "log_step": 79,
131
+ "where": "操作中",
132
+ "evidence_zh": "观察:log step 79 的脚本执行右膝伸展踢球;视频 1.56–1.84 s 机器人从直立转为明显前倾下坠、腿向后拖,足球仍在起点附近。任意球动作已经开始,但机器人在把球踢出前失衡,本节点此后未完成。"
133
+ },
134
+ "unmet": {
135
+ "free_kick_scored": false
136
+ },
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+ "phenomena": [
138
+ {
139
+ "cat": "全身",
140
+ "item": "平衡",
141
+ "t": 1.6,
142
+ "log_step": 79,
143
+ "evidence_zh": "观察:视频 1.52 s 机器人仍近乎直立;视频 1.56–1.84 s 躯干持续前倾、骨盆下降、腿部支撑展开,未恢复直立,白球保持原位。agent 在 log step 80–81 将最后回合结果转述为踢前“fell”,与所见失衡过程一致。"
144
+ }
145
+ ],
146
+ "root_causes": [
147
+ {
148
+ "cat": "控制",
149
+ "item": "控制",
150
+ "log_step": 79,
151
+ "evidence_zh": "推断:log step 79 的实际调用脚本切换到 lowcmd,逐次减小右膝目标角,并通过骨盆 IMU 调整支撑侧髋部与腰部;视频 1.56–1.84 s 对应踢球尝试中机器人持续失衡,球尚未踢出。该控制方案未能在伸膝过程中维持身体支撑;现有证据不足以进一步归到轨迹、反馈或参数中的某一子类。",
152
+ "source_zh": "日志、视频"
153
+ }
154
+ ],
155
+ "gap_zh": "没有状态日志或足球接触对,固定远景不能排除细微擦碰,也不能确定终止物理步的触地部位;视频末帧为视频 1.84 s,显示失衡下坠,未显示完整倒地后的姿态。log step 79–80 的工具返回文本为空,“fell”和 0/2 仅见于 agent 在 log step 80–81 的转述;评分器未报告 ball_x_m、cross_y_m、cross_z_m,三项原生指标保留 null,控制根因不细分。"
156
+ },
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+ "summary_zh": "本次评分为最后一次重置后的回合:机器人转身并尝试伸右膝踢球,但视频 0.00–1.84 s 足球始终留在起点附近,任意球入门未完成,最终 0/1。视频约 1.60 s 机器人失去平衡并持续前倾下坠,根因归于踢球过程中的控制失稳;缺少状态日志和终局服务原始输出,无法确认细微脚球接触、精确触地部位及控制子类。",
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+ "conf": 8,
159
+ "review": {
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+ "status": "agreed",
161
+ "rounds": 1,
162
+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
168
+ "conf": 7,
169
+ "summary_zh": "标签与视频一致:视频 0–1.84 s 足球始终留在起点,机器人约 1.56 s 起前倾失衡,节点未达成;断点、平衡现象和停在“控制”的根因均有证据,时钟均为视频或 log step。",
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+ "duration_s": 0.04,
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+ "nodes": {
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+ "method": "visual",
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
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+ {
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+ "t": 0.0,
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+ "log_step": 28,
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+ "text_zh": "观察:已检查受评视频全部内容(仅视频 0.00 s 一帧,总长0.04秒);机器人双脚位于红色跑道起始区,远离横杆与蓝垫,未呈现助跑、起跳、过杆或落地。log step 28 中 agent 的交付脚本只调用一次 hold、一次 step 后保存轨迹。"
71
+ },
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+ {
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+ "t": 0.0,
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+ "log_step": null,
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+ "text_zh": "观察:评分器字段 n_actions=1、sim_steps=1、stages_reached=0/3、episode_over=0、replay_success=0,与视频 0.00 s 的初始站姿相符;本节点未完成。成功参考视频 15.4–18.6 s 可见机器人在杆前起跳并越杆落到垫上,该参考仅用于对照可见判据。"
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+ }
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+ ]
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+ }
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+ },
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+ "constraints": {}
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+ "native_metrics": [
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+ {
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102
+ "value": null
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+ "ref": "high_jump_landed",
108
+ "t": 0.0,
109
+ "log_step": 28,
110
+ "where": "首步前",
111
+ "evidence_zh": "观察:视频 0.00 s 为受评视频唯一一帧,机器人仍在红色跑道起始位置;log step 28 的已保存交付只执行一次保持命令。评分器记录 n_actions=1、sim_steps=1,跳高动作尚未启动。"
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+ },
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+ "item": "没尝试",
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+ "t": 0.0,
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+ "log_step": 28,
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+ "evidence_zh": "观察:视频 0.00 s 中机器人保持初始站姿,未开始跳高;log step 28 保存的是单次 hold 的占位轨迹,后续会话中的试跳不在本次受评视频内。"
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+ }
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+ ],
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+ "root_causes": [
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+ {
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+ "cat": "控制",
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+ "item": "控制",
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+ "source_zh": "日志",
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+ "evidence_zh": "推断:agent 尚未调出可交付的跳高控制动作,最终受评内容仍为 log step 28 保存的保持占位。会话试验的独立证据是 log step 190 多组动作均报告 success=False、the bar pushed the robot;log step 207 改变右髋屈曲时机后仍反复失败,并输出右髋连杆与横杆的接触;log step 223 的两次试验仍以同一原因失败。上述仅用于解释控制开发未成功,不作为受评轨迹发生碰杆的证据;不足以区分控制子类。"
131
+ }
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+ ],
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+ "gap_zh": "受评视频只有一帧且没有状态日志,无法测量足底力、横杆冲量等细节;原生指标未由评分器报告,均保留 null。会话日志的部分试验输出已截断,根因仅从反复失败的控制试验作概括推断,不能细分为接触设计、轨迹、反馈或参数问题;不将这些会话动作、接触或失败时刻映射到受评视频。"
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+ },
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+ "summary_zh": "受评轨迹只包含一次保持命令,视频 0.00 s 的唯一画面中机器人仍站在红色跑道起始区,“跳过杆并落地”未启动,最终0/1。断点为首步前,现象为没尝试;会话中反复调试跳跃仍出现碰杆判负,推断控制开发未成功,交���保留占位动作。没有状态日志且受评视频仅一帧,控制根因只能概括推断,三个原生指标均未报告。",
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+ "conf": 8,
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+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
140
+ "reviewers": [
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+ {
142
+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 8,
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+ "summary_zh": "受评视频仅 1 帧(0.00 s),机器人仍在起跑区;评分器 n_actions=1、sim_steps=1、stages_reached=0/3,log step 28 的交付脚本只执行一次 hold。节点未达、断点首步前、现象没尝试、根因停在“控制”(依据会话 log 190/207/223,标为推断并声明不映射到受评视频)均有证据支持,符合 FAIL-22。无需修改。",
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+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-high-jump-i00-privileged--faqssvb",
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+ "taskKey": "embodied-olympics-fun/high_jump",
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+ "dag_sha256": "c300ffe03322943c62dc1bb110296f40a1e3ae3d2ab8a7501f467100e7abad26",
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+ "outcome": {
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+ },
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+ "video": {
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+ "duration_s": 9.16,
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+ "fps": 25.0,
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+ "frames": 229,
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+ "sha256": "6ed9a68b5fd3f1a7b39b76bb82c6b3376dcbb37b4f9c2a879097e5c713e7c1b9"
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+ },
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+ "nodes": {
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+ "high_jump_landed": {
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+ "method": "visual",
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+ "intervals": [],
67
+ "final": false,
68
+ "evidence": [
69
+ {
70
+ "t": 0.0,
71
+ "log_step": null,
72
+ "text_zh": "观察:视频 0.0–8.76 s,机器人举起双臂,双脚交替支撑沿红色跑道走到横杆近侧;未见全身越杆。"
73
+ },
74
+ {
75
+ "t": 9.12,
76
+ "log_step": 377,
77
+ "text_zh": "观察:视频 8.80–9.12 s 逐帧中,机器人在杆前屈腿并短暂离地,双腿仍低于横杆,结束时身体仍在蓝垫前沿近侧,没有出现全身越杆后落到另一侧的过程。log step 377 对最终交付的912行轨迹重放,裁判返回 success=false、stages=[],失败原因为未净空便触及杆后地面或垫;log step 395 两次重放终态哈希相同。"
78
+ },
79
+ {
80
+ "t": 9.12,
81
+ "log_step": null,
82
+ "text_zh": "推断:本次视频中未出现完整净空和杆后落地,结合最终交付的裁判反馈,跳过杆并落地节点全程未达到。对照参考成功视频 16.2–16.8 s,可见机器人腾起、翻越横杆并落在蓝垫上;本次视频缺少这一可见过程。参考视频仅用于识别完成外观。"
83
+ }
84
+ ],
85
+ "contact_actual": [
86
+ {
87
+ "who": "腿/躯干",
88
+ "how": "支撑",
89
+ "note_zh": "观察:视频 0.0–8.76 s,机器人双脚交替接触红色跑道承重前进;视频 8.80–9.12 s,脚部在杆前支撑屈腿、蹬地,随后腿部向垫前沿运动。log step 377 的最终轨迹裁判确认未净空便接触杆后地面或垫;单一远景无法精确辨认终止接触的具体脚部碰撞面。"
90
+ }
91
+ ]
92
+ }
93
+ },
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+ "constraints": {}
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+ "native_metrics": [
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+ {
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+ "name": "air_s",
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+ "unit": "s",
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+ "direction": "higher_better",
102
+ "value": 0.083
103
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104
+ {
105
+ "name": "rise_m",
106
+ "unit": "m",
107
+ "threshold": 0.08,
108
+ "direction": "higher_better",
109
+ "value": 0.004
110
+ },
111
+ {
112
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113
+ "unit": "N s",
114
+ "threshold": 2.0,
115
+ "direction": "lower_better",
116
+ "value": null
117
+ }
118
+ ],
119
+ "failure": {
120
+ "breakpoint": {
121
+ "ref": "high_jump_landed",
122
+ "t": 9.08,
123
+ "log_step": 377,
124
+ "where": "操作中",
125
+ "evidence_zh": "观察:视频 8.80–9.12 s,机器人在横杆近侧屈腿、短暂离地,腿脚未抬至横杆上方,身体没有全身越过横杆;视频约 9.08–9.12 s 动作在垫前沿结束。log step 377 最终交付重放的裁判明确以未清杆便触及杆后地面或垫判负,log step 403 最终再生成仍为同一912行轨迹及同一失败。"
126
+ },
127
+ "unmet": {
128
+ "high_jump_landed": false
129
+ },
130
+ "phenomena": [
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+ {
132
+ "cat": "全身",
133
+ "item": "步态",
134
+ "t": 9.08,
135
+ "log_step": 377,
136
+ "evidence_zh": "观察:视频 8.80–9.12 s,机器人仅有小幅屈伸和短暂离地,双腿未越至横杆上方,也没有全身落到杆后;结束前未见翻倒。最终交付裁判输出(log step 377)记录腾空0.083秒、骨盆离地后上升0.004米,并因未净空便触及杆后地面或垫终止;评分器 reward.fell=0。推断:此次跳跃的抬升和净空不足,属于未完成所需跳跃的步态问题。"
137
+ }
138
+ ],
139
+ "root_causes": [
140
+ {
141
+ "cat": "控制",
142
+ "item": "控制",
143
+ "log_step": 368,
144
+ "source_zh": "日志 / 视频 / 评分器字段",
145
+ "evidence_zh": "观察:log step 366 的S方案使用腿关节关键帧及髋、膝、踝前馈力矩控制屈腿、蹬伸和收腿;log step 368 保存该S方案,log step 377 恢复它并生成最终912行交付。其裁判重放记录腾空0.083秒、离地后上升0.004米(要求至少0.08米),与视频 8.80–9.12 s 未见足够抬升及全身净空一致。推断:交付中的蹬伸、收腿控制轨迹未产生足够的腾空高度和过杆运动,导致身体尚未净空就接触垫或地面;证据支持控制层失败,不能据此确定为某个力矩参数、反馈环节或接触布局的单一缺陷。"
146
+ }
147
+ ],
148
+ "gap_zh": "没有状态日志;远景中脚、垫前沿和横杆部分重叠,无法独立精确确认最终接触的身体碰撞面、起跳脚载荷或横杆冲量。终止接触由已确定为最终交付的裁判重放(log step 377、395)确认;控制根因保留在大类,不将agent在log step 385、406自述的踝力矩瓶颈直接视为已证实根因。原生指标bar_impulse_Ns未报告,置null。"
149
+ },
150
+ "summary_zh": "机器人沿跑道走到杆前并尝试屈腿蹬伸、短暂腾空,但未完成唯一的跳过杆并落地节点,最终为0/1。视频 8.80–9.12 s 未见双腿和全身越杆,最终交付的裁判重放(log step 377、395)确认未净空便触及杆后地面或垫;失败现象为步态,根因为未能产生足够抬升和净空的控制轨迹。无状态日志,具体接触面及控制子类无法进一步确认。",
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+ "conf": 8,
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+ "review": {
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ {
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+ "engine": "claude",
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+ "model": "claude-sonnet-5-5",
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+ "round": 1,
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+ "verdict": "agree",
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+ "conf": 7,
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+ "summary_zh": "单节点未达成、最终0/1与裁判重放(log step 377/395,stages=[]、air 0.083 s、rise 0.004 m)及视频末段所见一致;断点、步态现象和停在“控制”大类的根因均有证据支持,时钟均标明视频时间。",
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+ "n_issues": 0,
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+ "n_major": 0
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+ "open_zh": []
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:30:36Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "stage": "traj_review",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-privileged--faqssvb/04_review_r1"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "3e3ba2060ff4c33a9f5206a2d202ea467a1d673d4dc6ddfc2647ec00e3c4b7d5",
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+ "video_sha256": "6ed9a68b5fd3f1a7b39b76bb82c6b3376dcbb37b4f9c2a879097e5c713e7c1b9",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ }
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+ {
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-high-jump-i00-privileged--k689jgz",
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+ "taskKey": "embodied-olympics-fun/high_jump",
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+ "dag_sha256": "c300ffe03322943c62dc1bb110296f40a1e3ae3d2ab8a7501f467100e7abad26",
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+ "outcome": {
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+ "source": "catalog",
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+ "raw": {
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+ "video": {
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-high-jump-i00-privileged--k689jgz/replay.mp4",
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+ "duration_s": 33.56,
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+ "fps": 25.0,
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+ "frames": 839,
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+ "sha256": "ac7d5a2e01e7ffdd161b32582326b3e91ac03f755cf48ba10ab0acb31de98e83"
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+ },
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+ "state": null,
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+ "nodes": {
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+ "intervals": [],
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+ "final": false,
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+ "evidence": [
67
+ {
68
+ "t": 19.0,
69
+ "log_step": null,
70
+ "text_zh": "观察:视频 0–19.0 s 的固定场地视角中,机器人先在红色跑道上调整姿态,再步行接近横杆,始终位于蓝垫前方;尚无全身越杆或杆后落地。"
71
+ },
72
+ {
73
+ "t": 33.36,
74
+ "log_step": null,
75
+ "text_zh": "观察:视频 29.5–31.0 s 机器人举臂,视频 31.5–33.12 s 屈腿下蹲后蹬伸;逐帧检查视频 32.56–33.52 s,末段双脚离地,但双踝仍低于横杆,机器人未全身越过横杆,也未落到杆后。"
76
+ },
77
+ {
78
+ "t": null,
79
+ "log_step": 193,
80
+ "text_zh": "观察:log step 193 对已保存交付文件的重放返回 success=False、failed=None、stages=[]、steps=3355;评分器也报告 n_actions=3355、stages_reached=0、episode_over=0,与本次录像尚未完成过杆落地相符。"
81
+ },
82
+ {
83
+ "t": null,
84
+ "log_step": 190,
85
+ "text_zh": "观察:log steps 187、189–190 生成并保存由步行动作和跳跃调试动作拼接的交付文件;log step 194 明确称已保存的 3355 行轨迹尚未成功。后续直到 log step 447 是继续修改和测试跳跃脚本,未见再次保存交付文件,不能将这些测试计作本次节点进度。"
86
+ }
87
+ ],
88
+ "contact_actual": [
89
+ {
90
+ "who": "腿/躯干",
91
+ "how": "支撑",
92
+ "note_zh": "观察:视频 9.0–20.0 s 机器人双脚交替接触红色跑道向横杆行进,视频 31.5–33.3 s 脚部在跑道上支撑屈腿和蹬伸,随后离地;本次录像未显示脚、腿或躯干在横杆另一侧落地承重。"
93
+ }
94
+ ]
95
+ }
96
+ },
97
+ "constraints": {}
98
+ },
99
+ "native_metrics": [
100
+ {
101
+ "name": "air_s",
102
+ "unit": "s",
103
+ "threshold": 0.05,
104
+ "direction": "higher_better",
105
+ "value": null
106
+ },
107
+ {
108
+ "name": "rise_m",
109
+ "unit": "m",
110
+ "threshold": 0.08,
111
+ "direction": "higher_better",
112
+ "value": null
113
+ },
114
+ {
115
+ "name": "bar_impulse_Ns",
116
+ "unit": "N s",
117
+ "threshold": 2.0,
118
+ "direction": "lower_better",
119
+ "value": null
120
+ }
121
+ ],
122
+ "failure": {
123
+ "breakpoint": {
124
+ "ref": "high_jump_landed",
125
+ "t": 33.3,
126
+ "log_step": 193,
127
+ "where": "操作中",
128
+ "evidence_zh": "观察:视频 33.12–33.52 s 机器人在横杆前蹬伸离地,双踝尚低于横杆,动作记录即结束,没有完成全身过杆和杆后落地;log step 193 对交付文件的重放结果为 success=False、failed=None、stages=[]。断点锚定在视频约 33.3 s 的末次起跳动作。"
129
+ },
130
+ "unmet": {
131
+ "high_jump_landed": false
132
+ },
133
+ "phenomena": [
134
+ {
135
+ "cat": "全身",
136
+ "item": "步态",
137
+ "t": 33.3,
138
+ "log_step": null,
139
+ "evidence_zh": "观察:视频 31.5–33.52 s 机器人下蹲、蹬伸并短暂离地,末帧双脚仍未抬过横杆,身体仍在杆前,交付动作没有完成越杆距离和后续落地;录像内未见摔倒。"
140
+ }
141
+ ],
142
+ "root_causes": [
143
+ {
144
+ "cat": "控制",
145
+ "item": "控制",
146
+ "evidence_zh": "推断:log steps 178、181、183 的跳跃脚本通过预设关节目标、力矩和腾空检测切换动作;log step 184 的同版本调试中离地速度为竖直 0.89 m/s、沿跑道 -0.16 m/s,stages=[],显示起跳控制尚未产生可���的过杆运动。log steps 187、189–190 将该版本动作写入交付,log step 193 重放仍无阶段进展;视频 33.12–33.52 s 也只形成未过杆的起跳,支持跳跃控制未解决,但不足以确定具体控制子类。",
147
+ "source_zh": "日志 / 视频"
148
+ }
149
+ ],
150
+ "gap_zh": "没有状态日志,无法核实单脚起跳力窗口、精确腾空时长与上升量、横杆接触冲量或毫米级支座公差;评分器未报告三个原生指标的数值。交付录像结束于起跳后,不能判断若继续执行会怎样落地;log step 184 调试中的 LANDED 与碰杆失败并未在本次交付重放中复现,故不作为本次落地或碰杆证据。根因只能结合生成该交付的调试记录推断到控制大类,无法区分轨迹、反馈控制或参数问题。"
151
+ },
152
+ "summary_zh": "本次交付完成了步行接近横杆、举臂和下蹲蹬伸,但录像末尾起跳后双踝仍未越杆,没有完成全身过杆和杆后落地,最终节点为 0/1。失败位于跳高步骤的操作中,现象为步态未完成过杆,生成该交付的调试记录支持跳跃控制尚未解决。录像在起跳后结束且没有状态日志,无法确定后续落地情况和精确接触、力学指标,后续会话测试不计入本次进度。",
153
+ "conf": 7,
154
+ "review": {
155
+ "status": "agreed",
156
+ "rounds": 1,
157
+ "reviewers": [
158
+ {
159
+ "engine": "claude",
160
+ "model": "claude-sonnet-5-5",
161
+ "round": 1,
162
+ "verdict": "agree",
163
+ "conf": 6,
164
+ "summary_zh": "高跳节点 high_jump_landed 未达(0/1)、断点在末次起跳、现象步态(含跳跃,未摔倒)与根因控制(不细分子类)均与视频末段和 log 193 重放(success=False, stages=[], 3355 步)一致;时间均在视频内,未把 agent 时间换算成视频时间。",
165
+ "n_issues": 0,
166
+ "n_major": 0
167
+ }
168
+ ],
169
+ "open_zh": []
170
+ },
171
+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:32:02Z",
178
+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "calls": [
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+ {
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+ "stage": "traj_review",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-privileged--k689jgz/04_review_r1"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "492787a49f2e43012e1966ff74a5207c9d8c0bdf4b0d597fe6d74888d6e5160f",
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+ "states_sha256": null,
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+ }
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phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-privileged--o4tm5te.json ADDED
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+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-high-jump-i00-privileged--o4tm5te",
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+ "taskKey": "embodied-olympics-fun/high_jump",
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+ "dag_sha256": "c300ffe03322943c62dc1bb110296f40a1e3ae3d2ab8a7501f467100e7abad26",
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+ "outcome": {
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+ "success": 1,
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+ "reward": 1.0,
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+ "source": "catalog",
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+ "raw": {
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+ "success": 1,
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+ "replay_success": 1,
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+ "deterministic": 1,
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+ "n_actions": 1870,
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+ "sim_steps": 1870,
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+ "horizon": 6000,
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+ "episode_over": 1,
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+ "progress": 1.0,
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+ "stages_reached": 3,
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+ "stages_total": 3,
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+ "fell": 0,
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+ "replay_s": 10.09,
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+ "bad_trajectory": 0,
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+ "metric_air_s": 0.473,
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+ "resource_enforced": 0,
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+ "limits_violation_observed": 0,
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+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0.0,
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+ "peak_memory_gb": 1.763,
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+ "peak_processes": 33,
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+ "peak_disk_gb": 0.249,
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+ "resource_emergency_kills": 0,
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+ "resource_oom_kills": 0,
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+ "resource_host_oom_kills": 0,
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+ "session_log_tampered": 0,
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+ "session_log_from_monitor": 0
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+ }
47
+ },
48
+ "video": {
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+ "kind": "hf",
50
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-high-jump-i00-privileged--o4tm5te/replay.mp4",
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+ "duration_s": 18.72,
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+ "fps": 25.0,
53
+ "frames": 468,
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+ "sha256": "7b16e7330444d1d4db1c3adfeac4c8041447661680c9587371af15e746b52d95"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 1,
60
+ "base": 0,
61
+ "peak": 1,
62
+ "final": 1,
63
+ "nodes": {
64
+ "high_jump_landed": {
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+ "method": "visual",
66
+ "intervals": [
67
+ [
68
+ 18.68,
69
+ null
70
+ ]
71
+ ],
72
+ "final": true,
73
+ "evidence": [
74
+ {
75
+ "t": 16.32,
76
+ "log_step": null,
77
+ "text_zh": "观察:视频 16.08–16.32 s,机器人在横杆前抬起一条腿,另一只脚在红色跑道上支撑蹬地;视频 16.36–16.64 s,身体后仰、双腿抬起,从两立柱之间越过红白横杆。"
78
+ },
79
+ {
80
+ "t": 16.72,
81
+ "log_step": null,
82
+ "text_zh": "观察:视频 16.68–16.80 s,机器人背部和躯干落到横杆后方的蓝垫上,腿仍向上;视频 17.12–18.68 s,机器人留在垫上,红白横杆始终横置于两支架之间,没有可见掉落。"
83
+ },
84
+ {
85
+ "t": 18.68,
86
+ "log_step": 104,
87
+ "text_zh": "观察:log step 104 对最终保存轨迹的重放结果为 success=true、failed=null,裁判阶段为 take-off、clearance、bar stays,执行 1870 行,仿真终止时间 18.7 s;log step 105 的第二次重放同样成功且终态哈希一致。inputs/run.json 的评分器字段 success=1、replay_success=1、deterministic=1、stages_reached=3。"
88
+ },
89
+ {
90
+ "t": 18.68,
91
+ "log_step": null,
92
+ "text_zh": "推断:视频约 16.7 s 的落垫和视频 18.68 s 最后一帧横杆保留,与评分器三阶段成功一致,因此把包含落地后至少 2.0 秒延迟验收的完整事件记为约视频 18.7 s 达成,取末帧 18.68 s 为导航锚点;时间精度约 0.1 秒。单脚起跳的力阈值、完整几何净空及横杆微小位移和速度由成功裁判结果确认,画面不足以独立精测。"
93
+ }
94
+ ],
95
+ "contact_actual": [
96
+ {
97
+ "who": "腿/躯干",
98
+ "how": "支撑",
99
+ "note_zh": "观察:机器人双脚在红色跑道上交替支撑接近横杆,视频 16.08–16.32 s 一脚抬起、另一脚蹬地;视频约 16.7 s 背部和躯干落在蓝色垫上,由垫承托。"
100
+ }
101
+ ]
102
+ }
103
+ },
104
+ "constraints": {}
105
+ },
106
+ "native_metrics": [
107
+ {
108
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109
+ "value": 0.473,
110
+ "unit": "s",
111
+ "threshold": 0.05,
112
+ "direction": "higher_better"
113
+ },
114
+ {
115
+ "name": "rise_m",
116
+ "value": 0.275,
117
+ "unit": "m",
118
+ "threshold": 0.08,
119
+ "direction": "higher_better"
120
+ },
121
+ {
122
+ "name": "bar_impulse_Ns",
123
+ "value": null,
124
+ "unit": "N s",
125
+ "threshold": 2.0,
126
+ "direction": "lower_better"
127
+ }
128
+ ],
129
+ "failure": null,
130
+ "summary_zh": "机器人在视频约 16.3–16.7 s 单脚蹬地、背越横杆并落到蓝垫上,横杆保留至视频末尾,完整跳跃节点在视频约 18.7 s 延迟验收后达成,最终完成 1/1。最终文件两次重放均成功且终态哈希一致,评分器报告腾空 0.473 秒、骨盆上升 0.275 米,无失败断点。没有状态日志,起跳脚力、精细净空和横杆毫米级静置条件依赖裁判成功结果,横杆冲量原生指标未报告,保留为 null。",
131
+ "conf": 8,
132
+ "review": {
133
+ "status": "agreed",
134
+ "rounds": 1,
135
+ "reviewers": [
136
+ {
137
+ "engine": "claude",
138
+ "model": "claude-sonnet-5-5",
139
+ "round": 1,
140
+ "verdict": "agree",
141
+ "conf": 8,
142
+ "summary_zh": "成功运行,单节点 high_jump_landed 达成(约视频 18.68 s,由评分器 success=1、stages 3/3 界定),帧显示 16.0 s 助跑、16.5 s ���杆、16.9 s 落垫、18.6 s 横杆仍在;接触、failure=null、时钟均无误。",
143
+ "n_issues": 0,
144
+ "n_major": 0
145
+ }
146
+ ],
147
+ "open_zh": []
148
+ },
149
+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
155
+ "created": "2026-10-31T00:30:41Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ "round": 0,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-privileged--o4tm5te/03_label"
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-privileged--o4tm5te/04_review_r1"
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+ "review_model": "claude-sonnet-5-5",
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+ {
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+ "schema": "efe-trajectory-labels/1",
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+ "taxonomy": "v2",
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+ "runId": "embodied-olympics-fun-high-jump-i00-privileged--wtvnnjb",
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+ "taskKey": "embodied-olympics-fun/high_jump",
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+ "dag_sha256": "c300ffe03322943c62dc1bb110296f40a1e3ae3d2ab8a7501f467100e7abad26",
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+ "outcome": {
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+ "success": 0,
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+ "reward": 0.0,
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+ "source": "catalog",
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+ "raw": {
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+ "success": 0,
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+ "replay_success": 0,
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+ "deterministic": 1,
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+ "n_actions": 1760,
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+ "sim_steps": 1760,
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+ "horizon": 6000,
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+ "episode_over": 1,
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+ "progress": 0.0,
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+ "stages_reached": 0,
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+ "stages_total": 3,
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+ "fell": 0,
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+ "replay_s": 10.77,
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+ "bad_trajectory": 0,
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+ "metric_air_s": 0.083,
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+ "metric_rise_m": 0.181,
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+ "grader_error": 0,
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+ "video_rendered": 1,
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+ "agent_sessions": 24,
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+ "agent_resets": 1,
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+ "agent_replays": 2,
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+ "agent_cost_self_reported": 1,
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+ "resource_enforced": 0,
34
+ "limits_violation_observed": 0,
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+ "resource_monitor_missing": 0,
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+ "peak_gpu_memory_gb": 0.0,
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+ "peak_memory_gb": 3.021,
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+ "peak_processes": 18,
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+ "peak_disk_gb": 0.243,
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+ "resource_emergency_kills": 0,
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+ "resource_oom_kills": 0,
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+ }
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+ },
48
+ "video": {
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+ "kind": "hf",
50
+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-high-jump-i00-privileged--wtvnnjb/replay.mp4",
51
+ "duration_s": 17.64,
52
+ "fps": 25.0,
53
+ "frames": 441,
54
+ "sha256": "39c3e1a7e73371eead8bcafe90acd08ed32bb34de29937bd519b9b6cd681141d"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 1,
60
+ "base": 0,
61
+ "peak": 0,
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+ "final": 0,
63
+ "nodes": {
64
+ "high_jump_landed": {
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+ "method": "visual",
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+ "intervals": [],
67
+ "final": false,
68
+ "evidence": [
69
+ {
70
+ "t": 0.0,
71
+ "log_step": null,
72
+ "text_zh": "观察:本次视频起始机器人站在红色跑道上;视频全程粗看及视频16.60—17.60 s逐帧检查显示,机器人走到蓝垫和横杆前,随后抬腿、蹬地起跳。"
73
+ },
74
+ {
75
+ "t": 17.6,
76
+ "log_step": null,
77
+ "text_zh": "观察:视频17.52—17.60 s机器人身体上升,腿部仍在横杆高度以下并紧邻蓝垫前缘;截至最后一帧视频17.60 s,没有全身越过横杆或落到杆后。"
78
+ },
79
+ {
80
+ "t": 17.6,
81
+ "log_step": 125,
82
+ "text_zh": "观察:log step 122生成并保存1760行最终轨迹,log step 125对该文件的独立重放报告success=false、stages=[],原因为“touched the ground or the mat beyond the bar's plane before clearing the bar”;评分器字段deterministic=1、stages_reached=0,与本次视频末段未净空的姿态一致。"
83
+ }
84
+ ],
85
+ "contact_actual": [
86
+ {
87
+ "who": "腿/躯干",
88
+ "how": "支撑",
89
+ "note_zh": "观察:机器人双脚在红色跑道上交替承重行走,视频17.24—17.52 s抬起一腿并由另一脚蹬地;未观察到成功过杆后的落地支撑。"
90
+ },
91
+ {
92
+ "who": "腿/躯干",
93
+ "how": "压/擦",
94
+ "note_zh": "推断:视频17.56—17.60 s腿部贴近蓝垫前缘,结合log step 125最终文件重放确认的未净空先触地或垫,判为腿部擦碰蓝垫前缘;具体为右小腿的说法来自log step 128的agent自述,画面不能独立分辨碰撞几何。"
95
+ }
96
+ ]
97
+ }
98
+ },
99
+ "constraints": {}
100
+ },
101
+ "native_metrics": [
102
+ {
103
+ "name": "air_s",
104
+ "value": 0.083,
105
+ "unit": "s",
106
+ "threshold": 0.05,
107
+ "direction": "higher_better"
108
+ },
109
+ {
110
+ "name": "rise_m",
111
+ "value": 0.181,
112
+ "unit": "m",
113
+ "threshold": 0.08,
114
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115
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117
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+ "threshold": 2.0,
121
+ "direction": "lower_better"
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123
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125
+ "breakpoint": {
126
+ "ref": "high_jump_landed",
127
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128
+ "log_step": 125,
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130
+ "evidence_zh": "观察:视频17.56—17.60 s机器人正在杆前起跳,腿尚低于横杆,全身未越过,录像随即结束;log step 125对log step 122保存的最终文件重放,裁判明确以未净空便触及杆后地面或垫判负,未完成任何阶段。"
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136
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137
+ "log_step": 125,
138
+ "evidence_zh": "推断:视频17.56—17.60 s机器人腿部在蓝垫前缘、横杆下方,尚未形成全身净空;log step 125最终文件重放的裁判结果确认此时已触及杆后地面或垫,结合画面定位为腿部擦碰蓝垫前缘。该接触结束了跳跃尝试,画面未显示摔倒。"
139
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+ ],
141
+ "root_causes": [
142
+ {
143
+ "cat": "控制",
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+ "item": "控制",
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+ "source_zh": "日志 / 视频"
147
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148
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149
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156
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+ "summary_zh": "标签与视频、log一致:视频末帧(17.6 s)机器人仍在杆前起跳、未过杆;log step 122/125 的最终文件重放报告 success=false、stages=[],视频时长与 time_s=17.6 吻合。节点未达成、断点和时间均无可证伪之处;机器人在画面中过小,碰撞几何无法独立核验,文件已如实在 gap_zh 说明。",
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+ "text_zh": "观察:视频 0.0–11.9 s,机器人在红色跑道上交替落脚向横杆行走,未越过横杆。"
71
+ },
72
+ {
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+ "t": 12.12,
74
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+ "text_zh": "观察:逐帧检查视频 10.8–12.28 s,机器人始终在横杆近侧;视频约 12.1 s 开始屈腿、身体略降低,至视频 12.28 s 仍未出现骨盆及双踝高于横杆并穿过的腾空动作,也未落到杆后;红白横杆仍横置两立柱之间。"
76
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77
+ {
78
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+ "log_step": 683,
80
+ "text_zh": "观察:log step 683 读取最终交付文件,动作数组为 1228×141;inputs/run.json 的评分字段同为 n_actions=1228、stages_reached=0、episode_over=0、fell=0。该交付在未完成跳高且裁判尚未终止尝试时结束。"
81
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+ "contact_actual": [
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+ "who": "腿/躯干",
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+ "how": "支撑",
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+ "note_zh": "观察:视频 0.0–12.28 s,机器人双脚依次在红色跑道上落脚承重,末段在杆前屈腿;未观察到杆后落垫支撑。"
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+ "evidence_zh": "观察:视频 0.0–12.28 s,机器人完成接近横杆的行走,末段仅在杆前屈腿,脚和身体均未越过横杆;未见摔倒。跳跃动作未达到过杆所需的腾空与净空。"
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143
+ "source_zh": "日志",
144
+ "evidence_zh": "推断:log step 678 的交付生成脚本先用步行控制接近,再按足部接触触发支撑腿屈伸、力矩脉冲和收腿;同系列会话测试在 log step 648 记录一次短飞行仅上升 0.07 米且未获起跳阶段。视频 12.1–12.28 s 的交付末段也未形成过杆动作,支持起跳动作控制未解决;测试仅作根因佐证,不作为本次交付的飞行高度或碰杆事实。现有证据不足以细分具体控制子类。"
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148
+ },
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+ "conf": 8,
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+ "status": "agreed",
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+ "rounds": 1,
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+ "reviewers": [
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+ "sha256": "3c056415e1eda8aa333f376068e483e34b59cb96eca1bad3331dc3df5c8fc112"
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+ },
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+ "state": null,
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+ "progress": {
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+ "method": "visual",
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+ "denominator": 1,
61
+ "base": 0,
62
+ "peak": 0,
63
+ "final": 0,
64
+ "nodes": {
65
+ "high_jump_landed": {
66
+ "method": "visual",
67
+ "intervals": [],
68
+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 0.0,
72
+ "log_step": 308,
73
+ "text_zh": "观察:视频 0.0–21.4 s,机器人沿红色跑道走向横杆,随后在蓝垫前停下;未出现腾空过杆或杆后落地。log step 308 的服务输出确认最后一次重置后 control_steps=0、done=False,故本视频对应最后一次实时尝试,不采用之前的测试结果。"
74
+ },
75
+ {
76
+ "t": 22.2,
77
+ "log_step": 310,
78
+ "text_zh": "观察:视频 21.6–22.36 s,机器人屈腿、抬臂并向杆侧跃动,但骨盆和双脚没有在同一次腾空中全部从横杆上方通过;最后一帧身体仍在横杆近侧,未落到杆后。log step 310 的机器人服务(实时仿真控制接口)在补交跳跃表后返回 outcome=\"the bar pushed the robot\"、stages_reached=0,随后状态为 done=True、reason=failed。"
79
+ },
80
+ {
81
+ "t": 22.36,
82
+ "log_step": 311,
83
+ "text_zh": "观察:已检查本视频末秒至视频 22.36 s 最后一帧,仍无完整越杆落地;对照成功参考视频 16.2–17.0 s 可见机器人越过横杆并落到蓝垫上。log step 311 中 agent 自述“起跳提交前已经超时”,但 log step 310 实际先返回 done=False(打印为 live? False),且跳跃提交得到碰杆判负;因此采用画面和服务返回,不采用该超时解释。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "支撑",
90
+ "note_zh": "观察:视频 0.0–21.8 s,机器人双脚交替接触红色跑道承重前进,末段屈腿蹬地;没有完成杆后落地支撑。"
91
+ },
92
+ {
93
+ "who": "未知",
94
+ "how": "其他",
95
+ "note_zh": "观察:视频约 22.2–22.36 s 身体靠到横杆处,log step 310 服务确认横杆推了机器人。候选方式“碰撞”:现有接触方式无专门的意外撞杆项;远景不足以确定接触的是哪一条腿、躯干还是上肢,故作用端记未知。"
96
+ }
97
+ ]
98
+ }
99
+ },
100
+ "constraints": {}
101
+ },
102
+ "native_metrics": [
103
+ {
104
+ "name": "air_s",
105
+ "unit": "s",
106
+ "threshold": 0.05,
107
+ "direction": "higher_better",
108
+ "value": null
109
+ },
110
+ {
111
+ "name": "rise_m",
112
+ "unit": "m",
113
+ "threshold": 0.08,
114
+ "direction": "higher_better",
115
+ "value": null
116
+ },
117
+ {
118
+ "name": "bar_impulse_Ns",
119
+ "unit": "N s",
120
+ "threshold": 2.0,
121
+ "direction": "lower_better",
122
+ "value": null
123
+ }
124
+ ],
125
+ "failure": {
126
+ "breakpoint": {
127
+ "ref": "high_jump_landed",
128
+ "t": 22.2,
129
+ "log_step": 310,
130
+ "where": "操作中",
131
+ "evidence_zh": "观察:视频约 22.2 s,机器人在杆前起跳动作中向横杆靠去,未把骨盆及双脚带到杆上方,至视频 22.36 s 仍未全身过杆。log step 310 中补交的跳跃表实际执行后,机器人服务返回“the bar pushed the robot”、stages_reached=0,并终止本次尝试。"
132
+ },
133
+ "phenomena": [
134
+ {
135
+ "cat": "运动",
136
+ "item": "被挡/碰撞",
137
+ "t": 22.2,
138
+ "log_step": 310,
139
+ "evidence_zh": "观察:视频 22.08–22.36 s,机器人身体向横杆处移动时腿部仍低于杆高,没有清越横杆;log step 310 的服务返回“the bar pushed the robot”,随后 done=True、reason=failed,确认发生了导致判负的碰杆���触。"
140
+ }
141
+ ],
142
+ "root_causes": [
143
+ {
144
+ "cat": "控制",
145
+ "item": "控制",
146
+ "t": 22.2,
147
+ "log_step": 310,
148
+ "source_zh": "日志 / 视频",
149
+ "evidence_zh": "推断:跳跃控制没有把助跑、起跳及抬腿净空衔接起来。log step 304 将触发/中止距离设为 1.03/0.98 米,log step 309 实际因距离与腿姿门限未同时满足而先中止起跳;log step 310 随后从停步姿态直接补交开环跳跃表,视频 21.6–22.36 s 显示动作未能清越横杆并碰杆。作为会话辅助证据,log step 306 对同一 gen.py 表的本地测试已输出骨盆最高 0.968 米、骨盆及双踝过杆均 MISS;此测试不当作本次视频的状态或精确高度。证据支持控制未能实现净空,尚不足以细分为某一增益或跟踪误差。"
150
+ }
151
+ ],
152
+ "gap_zh": "无状态日志;固定远景不能分辨碰杆的具体机器人连杆,也无法测定起跳脚力、横杆冲量及毫米级支座偏差。评分器未报告 air_s、rise_m、bar_impulse_Ns,原生指标均留空;本地仿真测试不是评分尝试的测量值。agent 最终超时说法与 log step 310 服务返回及视频末段动作不符,未据其归因。",
153
+ "unmet": {
154
+ "high_jump_landed": false
155
+ }
156
+ },
157
+ "summary_zh": "机器人完成了接近横杆的助跑,随后补做跳跃,但在视频约 22.2 s 碰杆,未完成“跳过杆并落地”,最终为 0/1 节点。推断:控制未能把助跑与足够高的腾空净空动作衔接起来;log step 310 服务判定“the bar pushed the robot”,不支持 agent 在 log step 311 所称的提交前超时。无状态日志,具体碰撞部位、起跳受力及横杆冲量无法精确核实。",
158
+ "conf": 8,
159
+ "review": {
160
+ "status": "agreed",
161
+ "rounds": 2,
162
+ "reviewers": [
163
+ {
164
+ "engine": "claude",
165
+ "model": "claude-sonnet-5-5",
166
+ "round": 1,
167
+ "verdict": "fix",
168
+ "conf": 6,
169
+ "summary_zh": "节点 high_jump_landed=false、断点、时钟、对 agent 超时说法的否定都成立(log step 310 返回 'the bar pushed the robot',控制步 2140≈21.4 s,不支持 60 s 超时)。问题在现象:失败本质是起跳/过杆高度不足,按分类应是 全身·步态(跳跃没达到),而不是 被挡/碰撞;远景视频也看不到杆挡住机器人的过程,只有服务的一句判负文字。",
170
+ "n_issues": 1,
171
+ "n_major": 1
172
+ },
173
+ {
174
+ "engine": "claude",
175
+ "model": "claude-sonnet-5-5",
176
+ "round": 2,
177
+ "verdict": "agree",
178
+ "conf": 7,
179
+ "summary_zh": "节点 high_jump_landed=false、断点(操作中,t≈22.2 s 视频钟)、时钟均成立;第1轮关于被挡/碰撞的异议已被labeller以服务读数(log step 310 'the bar pushed the robot',control_steps=2140≈21.4 s)驳回,我无新证据,予以接受。对agent超时说法的否定有log与视频支持。根因标控制·控制并明确会话测试仅作辅助,尚可。",
180
+ "n_issues": 0,
181
+ "n_major": 0
182
+ }
183
+ ],
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+ "open_zh": []
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+ },
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+ "provenance": {
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+ "prompt": "prompts/03_trajectory.md",
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+ "prompt_sha256": "2385b35930667330fc4ea181a15ea0818b49cfeae0df1700b8b08c988e72ad8e",
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+ "engine": "codex",
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+ "model": "gpt-6.1-sol",
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+ "effort": "high",
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+ "created": "2026-10-31T00:45:36Z",
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+ "review_prompt": "prompts/04_trajectory_review.md",
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+ "review_prompt_sha256": "9afbc4ac19b1e1cf03732c8961ec46a618d682ee229343f66e3316794b14f9ba",
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+ "reconcile_prompt": "prompts/05_reconcile.md",
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+ "reconcile_prompt_sha256": "8c827af3ae3f77d09229399fb41283c50a8f725302cbe3b263b8051213dde2b2",
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+ "calls": [
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+ {
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+ "stage": "traj",
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+ "round": 0,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-standard--99ih4hk/03_label"
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+ {
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+ "stage": "traj_review",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-standard--99ih4hk/04_review_r1"
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+ "stage": "reconcile",
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+ "round": 1,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-standard--99ih4hk/05_reconcile_r1"
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+ },
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+ {
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+ "stage": "traj_review",
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+ "round": 2,
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+ "ok": true,
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+ "space": "work/runs/embodied-olympics-fun-high-jump-i00-standard--99ih4hk/04_review_r2"
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+ }
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+ ],
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+ "review_engine": "claude",
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+ "review_model": "claude-sonnet-5-5",
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+ "inputs": {
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+ "run_json_sha256": "acd205598a6a1d19c5932f450d706797774fd99f495a3a1da1bbc63db49d4c4f",
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+ "video_sha256": "3c056415e1eda8aa333f376068e483e34b59cb96eca1bad3331dc3df5c8fc112",
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+ "states_sha256": null,
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+ "video_choice": "HF replay.mp4"
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+ }
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+ }
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+ }
phase2/embodied-olympics-fun/high_jump/trajectories/embodied-olympics-fun-high-jump-i00-standard--ikhhnuf.json ADDED
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+ }
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+ "video": {
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+ "kind": "hf",
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+ "url": "https://huggingface.co/datasets/MLL-Lab/embodied-exam-media/resolve/main/runs/embodied-olympics-fun-high-jump-i00-standard--ikhhnuf/replay.mp4",
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+ "duration_s": 13.56,
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+ "nodes": {
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+ "high_jump_landed": {
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+ "method": "visual",
67
+ "intervals": [],
68
+ "final": false,
69
+ "evidence": [
70
+ {
71
+ "t": 0.0,
72
+ "log_step": null,
73
+ "text_zh": "观察:视频 0.0–11.5 s 的固定场地镜头中,机器人从红色跑道步行接近横杆与蓝垫,尚未出现腾空过杆。"
74
+ },
75
+ {
76
+ "t": 13.52,
77
+ "log_step": 535,
78
+ "text_zh": "观察:视频 12.48–13.52 s,机器人直立移步至蓝垫前沿,双足仍在跑道高度,没有全身从横杆上方越过或落至杆后;log step 535 中实时服务转述裁判结果为“touched the ground or the mat beyond the bar's plane without a jump”,stages_reached 为 0/3。"
79
+ },
80
+ {
81
+ "t": null,
82
+ "log_step": 534,
83
+ "text_zh": "观察:log step 531 启动第 6 次实时尝试;log step 534 的服务状态为 episode=6、done=True、reason=failed、resets_left=0。此前试验中的起跳与横杆掉落不属于本次受评视频。"
84
+ }
85
+ ],
86
+ "contact_actual": [
87
+ {
88
+ "who": "腿/躯干",
89
+ "how": "支撑",
90
+ "note_zh": "观察:视频 0.0 s、6.0 s 及 12.48–13.52 s,机器人双脚在红色跑道上交替着地承重,完成接近横杆的步行;没有观察到起跳后的落垫支撑。"
91
+ }
92
+ ]
93
+ }
94
+ },
95
+ "constraints": {}
96
+ },
97
+ "native_metrics": [
98
+ {
99
+ "name": "air_s",
100
+ "unit": "s",
101
+ "threshold": 0.05,
102
+ "direction": "higher_better",
103
+ "value": null
104
+ },
105
+ {
106
+ "name": "rise_m",
107
+ "unit": "m",
108
+ "threshold": 0.08,
109
+ "direction": "higher_better",
110
+ "value": null
111
+ },
112
+ {
113
+ "name": "bar_impulse_Ns",
114
+ "unit": "N s",
115
+ "threshold": 2.0,
116
+ "direction": "lower_better",
117
+ "value": null
118
+ }
119
+ ],
120
+ "failure": {
121
+ "breakpoint": {
122
+ "ref": "high_jump_landed",
123
+ "t": 13.4,
124
+ "log_step": 535,
125
+ "where": "操作中",
126
+ "evidence_zh": "观察:视频约 13.4 s,机器人已步行至杆前蓝垫边缘,仍保持直立、脚位于跑道高度,没有执行腾空过杆;log step 535 的裁判反馈为未形成跳跃就触及横杆平面后的地面或垫子,阶段为 0/3,本次尝试至此失败。"
127
+ },
128
+ "unmet": {
129
+ "high_jump_landed": false
130
+ },
131
+ "phenomena": [
132
+ {
133
+ "cat": "全身",
134
+ "item": "步态",
135
+ "t": 13.4,
136
+ "log_step": 535,
137
+ "evidence_zh": "观察:视频 11.68–13.52 s,机器人持续小步前移至蓝垫前,始终没有出现完成过杆所需的抬升、腾空和双踝越杆,末帧仍直立在跑道上;log step 535 的裁判结果确认未完成跳跃即发生杆后接触。"
138
+ }
139
+ ],
140
+ "root_causes": [
141
+ {
142
+ "cat": "控制",
143
+ "item": "控制",
144
+ "t": null,
145
+ "log_step": 523,
146
+ "source_zh": "日志 / 视频",
147
+ "evidence_zh": "推断:log step 523 中,agent 的控制脚本仅在蓝垫距离 mat_d 非空且不大于 0.80 m,或仿真时间达到 25.00 s 时退出步行循环并转入起跳,否则继续提交前进速度为 0.8 m/s 的 walk 命令;log step 531 启动该最终版本。视频 12.48–13.52 s 显示机器人到达杆前仍只步行,log step 535 确认未跳即判负,支持助跑至起跳的控制切换未及时实现;现有证据不足以细分具体控制故障。"
148
+ }
149
+ ],
150
+ "gap_zh": "没有状态日志,固定远景不能确定首次杆后接触的具体身体部位及精确瞬间���断点取视频约 13.4 s。输入日志未呈现第 6 次尝试逐次 mat_d 的运行输出;agent 在 log step 537、540 将失效归于蓝垫深度掩码丢失,这一具体解释尚未核实。评分器未报告本次 air_s、rise_m 或 bar_impulse_Ns,因此三个原生指标均留空。"
151
+ },
152
+ "summary_zh": "最终受评的是第 6 次实时尝试:机器人步行到横杆前,但未腾空越杆和落地,节点完成 0/1(视频 0.0–13.52 s;log step 534、535)。断点在跳高步骤操作中,表现为步态未实现所需跳跃;脚本与视频支持助跑到起跳的控制切换失败。没有状态日志及本次距离反馈序列,agent 所称蓝垫深度掩码丢失的具体原因尚待核实。",
153
+ "conf": 7,
154
+ "review": {
155
+ "status": "agreed",
156
+ "rounds": 1,
157
+ "reviewers": [
158
+ {
159
+ "engine": "claude",
160
+ "model": "claude-sonnet-5-5",
161
+ "round": 1,
162
+ "verdict": "agree",
163
+ "conf": 7,
164
+ "summary_zh": "节点未达成、断点 high_jump_landed、步态现象与控制根因均与视频(0–13.5 s 步行至杆前直立、无腾空)及 log step 523/534/535 一致;推断已标为推断,未发现需要修改的内容。",
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