File size: 37,847 Bytes
ef896f5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
{
  "asset_lock_sha256": "4b2ee2ca675aceb2f826983cb3082a3e08e9aa0ff419b23078abcff08ebcc6fe",
  "asset_provenance": {
    "bytes_verified": 34562302,
    "commit": "0059d4335f8156206f63a35662313385f7ad6d74",
    "files_verified": 90,
    "lock_sha256": "4b2ee2ca675aceb2f826983cb3082a3e08e9aa0ff419b23078abcff08ebcc6fe",
    "profile": "piper",
    "repository": "https://github.com/google-deepmind/mujoco_menagerie",
    "simulation_asset_license": "MIT"
  },
  "baseline_source_commit": "bc106d6f66367f8896787a2303aa0a124c69ea56",
  "candidate_controller_contract": {
    "acquisition": "Unchanged ProbeStopPolicy evidence acquisition, including its bounded supported retry. All variants share the same prefix through the first admission observation.",
    "admission": "Freeze the measured TCP pose and preceding issued target. Check the unchanged 0.08 rad initial bias and 0.02 rad joint margin. Repeat the preceding issued target exactly; initialize cumulative correction to zero.",
    "anti_windup": "Refuse the unlimited cumulative proposal before slew limiting. Commit correction only after all checks pass. Refusal is terminal and leaves accumulated correction unchanged.",
    "candidate": "incremental",
    "control_dt_s": 0.02,
    "final_observation": "Check force, original eligibility and pose error without solving, integrating or issuing another command.",
    "invalid_measurements": "Malformed, nonfinite or noncausal observations terminally refuse and raise without issuing a command. No measured-position stop is claimed from invalid measurements.",
    "limits": {
      "initial_joint_bias_ceiling_rad": 0.08,
      "joint_correction_ceiling_rad": 0.03,
      "joint_correction_rate_rad_s": 0.1,
      "native_joint_target_margin_rad": 0.02,
      "per_finger_force_ceiling_n": 10.0,
      "tcp_orientation_error_ceiling_rad": 0.05,
      "tcp_position_error_ceiling_m": 0.004
    },
    "measured_joint_eligibility": "At admission, subsequent updates and final observations, refuse measured joints outside the native 0.02 rad target margin before solving. This prevents absolute-target clipping from manufacturing a nonzero increment at zero pose error.",
    "observation_origin": "privileged_native_simulator_state",
    "physical_robot_ready": false,
    "qualifications": "Engineering limits and the 10 N ceiling are authored synthetic assumptions, not damage limits or calibrated physical telemetry. Position targets are not physical stops or force limiters. No load/friction inference, model training or complete placement is implemented.",
    "rate_scope": "The extra correction slews at at most 0.002 rad per 20 ms per joint. Original native 1 ms target slew, servos, gains and force caps remain unchanged.",
    "refusal": "Original grip, force, pose, initial-bias, joint-margin and timeout refusals remain terminal. A valid terminal observation latches measured joints and the frozen jaw; its fallback is not active incremental regulation.",
    "sampling": "Control checks occur at 20 ms boundaries. Independent saved 1 ms native evidence must judge a continuous 5 s hold; missed between-boundary failures remain findings.",
    "schema": "dvidia.piper-incremental-hold/v3",
    "update_gain_per_boundary": 1.0,
    "update_law": "increment = pose_action(frozen_admission_pose) - current_measured_joints; proposal = previous_correction + 1.0 * increment; refuse unlimited proposal outside +/-0.03 rad; slew accepted correction by at most 0.002 rad per joint per 20 ms; target = admission_issued_target + accepted_correction",
    "variants": [
      "incremental"
    ]
  },
  "cases": [
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.78,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0475,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.304,
          -0.024,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0475-f78-p0",
      "seed": 311200,
      "variant_order": [
        "measured_joint",
        "issued_joint",
        "incremental",
        "cartesian"
      ]
    },
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.78,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0475,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.308,
          -0.035,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0475-f78-p1",
      "seed": 311201,
      "variant_order": [
        "issued_joint",
        "cartesian",
        "measured_joint",
        "incremental"
      ]
    },
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.52,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0475,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.304,
          -0.024,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0475-f52-p0",
      "seed": 311202,
      "variant_order": [
        "cartesian",
        "incremental",
        "issued_joint",
        "measured_joint"
      ]
    },
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.52,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0475,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.308,
          -0.035,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0475-f52-p1",
      "seed": 311203,
      "variant_order": [
        "incremental",
        "measured_joint",
        "cartesian",
        "issued_joint"
      ]
    },
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.78,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0525,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.304,
          -0.024,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0525-f78-p0",
      "seed": 311204,
      "variant_order": [
        "measured_joint",
        "issued_joint",
        "incremental",
        "cartesian"
      ]
    },
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.78,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0525,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.308,
          -0.035,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0525-f78-p1",
      "seed": 311205,
      "variant_order": [
        "issued_joint",
        "cartesian",
        "measured_joint",
        "incremental"
      ]
    },
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.52,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0525,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.304,
          -0.024,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0525-f52-p0",
      "seed": 311206,
      "variant_order": [
        "cartesian",
        "incremental",
        "issued_joint",
        "measured_joint"
      ]
    },
    {
      "config": {
        "carry_orientation_wxyz": [
          0.25881904510252074,
          0.0,
          0.9659258262890683,
          0.0
        ],
        "control_dt": 0.02,
        "friction": 0.52,
        "goal_dwell_s": 0.25,
        "goal_position_tolerance_m": 0.025,
        "jaw_target_rate_m_s": 0.05,
        "joint_target_rate_rad_s": 1.5,
        "mass_kg": 0.0525,
        "min_lift_dwell_s": 0.1,
        "min_lift_m": 0.06,
        "object_half_size_m": [
          0.02,
          0.02,
          0.02
        ],
        "object_position_m": [
          0.308,
          -0.035,
          0.082
        ],
        "retreat_clearance_m": 0.1,
        "settle_s": 0.5,
        "table_center_xy_m": [
          0.38,
          0.0
        ],
        "table_half_size_xy_m": [
          0.17,
          0.22
        ],
        "table_thickness_m": 0.04,
        "table_top_m": 0.06,
        "target_position_m": [
          0.35,
          0.08,
          0.08
        ],
        "timeout_s": 20.0,
        "timestep": 0.001,
        "tool_orientation_wxyz": [
          0.0,
          0.0,
          1.0,
          0.0
        ]
      },
      "id": "m0525-f52-p1",
      "seed": 311207,
      "variant_order": [
        "incremental",
        "measured_joint",
        "cartesian",
        "issued_joint"
      ]
    }
  ],
  "cohort": "fresh_development_method_check",
  "comparison": "Shared acquisition native prefixes must be exactly equal through the earliest common treatment boundary: an admission or an explicit pre-admission hold-bound refusal in any variant. Commands strictly before that boundary must match. If no treatment begins, compare the full traces. Closed-loop hold controls may then change trajectories. These finite cells do not estimate population accuracy or isolate arbitrary physical mechanisms.",
  "controller_contract": {
    "acquisition": "Unchanged ProbeStopPolicy evidence acquisition, including its bounded supported retry. All variants share the same prefix through the first admission observation.",
    "cartesian": "Latch measured TCP position/orientation and preceding issued targets. Fixed joint bias equals issued target minus pose_action at the admission pose. First command repeats the exact issued target; later pose_action updates receive that fixed bias.",
    "control_dt_s": 0.02,
    "final_observation": "Repeat force, original eligibility and Cartesian pose-error checks. Do not solve or issue a hypothetical next control at the terminal observation.",
    "invalid_measurements": "Malformed, nonfinite or noncausal observations terminally refuse and raise without issuing a command. No measured-position stop is claimed from invalid measurements.",
    "issued_joint": "Latch the preceding issued six joint targets and the same last issued jaw target at admission.",
    "limits": {
      "initial_joint_bias_ceiling_rad": 0.08,
      "joint_correction_ceiling_rad": 0.03,
      "joint_correction_rate_rad_s": 0.1,
      "native_joint_target_margin_rad": 0.02,
      "per_finger_force_ceiling_n": 10.0,
      "tcp_orientation_error_ceiling_rad": 0.05,
      "tcp_position_error_ceiling_m": 0.004
    },
    "measured_joint": "Original hold: latch measured six joint coordinates and the last issued jaw target at admission.",
    "observation_origin": "privileged_native_simulator_state",
    "physical_robot_ready": false,
    "qualifications": "Engineering limits and the 10 N ceiling are authored synthetic assumptions, not damage limits or calibrated physical telemetry. Position targets are not physical stops or force limiters. No load/friction inference, model training or complete placement is implemented.",
    "rate_scope": "The extra correction slews at at most 0.002 rad per 20 ms per joint. Original native 1 ms target slew, servos, gains and force caps remain unchanged.",
    "refusal": "Original eligibility loss, unexpected contact or observed pad force >10 N terminally requests measured joint hold and the frozen jaw target. Cartesian error, initial-bias, total-correction or native-margin exhaustion also refuses terminally; it never chases an already failed grip.",
    "sampling": "Control checks occur at 20 ms boundaries. Independent saved 1 ms native evidence must judge a continuous 5 s hold; missed between-boundary failures remain findings.",
    "schema": "dvidia.piper-retention/v2",
    "variants": [
      "measured_joint",
      "issued_joint",
      "cartesian"
    ]
  },
  "force_ceiling_n": 10.0,
  "force_ceiling_scope": "Unchanged arbitrary synthetic admission ceiling, not measured damage calibration or a force command.",
  "grip_only_endpoint": {
    "controller_status": "Controller retained-at-5s and final hold are reported separately; native success never grants actuator permission.",
    "definition": "Correct 100 ms native admission prefix, then every native predicate sample through the next 5 s; complete valid warning-free run, no unexpected contact anywhere in the run and no force-ceiling violation on any subsequent hold row.",
    "duration_s": 5.0,
    "missing_followup": "No admission or less than five seconds of recorded followup is retained as failure, never padded.",
    "native_dt_s": 0.001,
    "predicate": "Both contact counts positive, both pad forces strictly >0.01 N and <=10 N including the admission-prefix window, no table support or unexpected contact, rise >=0.006 m from this probe origin and TCP-local drift <=0.003 m; distance epsilon1e-12."
  },
  "learned_policy": false,
  "order": "Four Williams orders repeated twice: [0,1,3,2], [1,2,0,3], [2,3,1,0], [3,0,2,1]. Each variant occupies every position twice. One attempt per scene/variant; no resume, outcome-based retry, candidate selection or post-result tuning.",
  "physical_robot_ready": false,
  "planned_attempts": 32,
  "primary_endpoint": {
    "controller_status": "Controller retained-at-5s and final hold are reported separately; native success never grants actuator permission.",
    "definition": "Correct 100 ms native admission prefix, then every native predicate sample through the next 5 s; complete valid warning-free run, no unexpected contact anywhere in the run and no force-ceiling violation on any subsequent hold row. Additionally every native TCP pose from admission through five seconds must stay within 4 mm and 0.05 rad of its admission pose.",
    "duration_s": 5.0,
    "missing_followup": "No admission or less than five seconds of recorded followup is retained as failure, never padded.",
    "name": "grip_retention_and_tcp_stationarity",
    "native_dt_s": 0.001,
    "orientation_ceiling_rad": 0.05,
    "position_ceiling_m": 0.004,
    "predicate": "Both contact counts positive, both pad forces strictly >0.01 N and <=10 N including the admission-prefix window, no table support or unexpected contact, rise >=0.006 m from this probe origin and TCP-local drift <=0.003 m; distance epsilon1e-12. TCP displacement <=0.004 m and orientation error <=0.05 rad with epsilon 1e-12, identically for all four variants."
  },
  "runtime": {
    "executable_sha256": "2bf9f73bce307190aa9298edd1ba8f7e86500126df8d845cf6d2bedb05968d59",
    "machine": "arm64",
    "mujoco": "3.15.0",
    "numpy": "2.5.3",
    "python": "3.12.9",
    "system": "Darwin"
  },
  "schema": "dvidia.piper-incremental-hold-study/v1",
  "scope": "One authored bounded incremental pose-hold candidate and three frozen v0.2 controls. Eight fresh finite synthetic development scenes with privileged simulator state; no learning, full placement, physical sensing or hardware qualification.",
  "secondary_endpoint": {
    "active_controller_conjunction": "Primary native task success AND controller qualified at the five-second endpoint. Refusal is terminal, so endpoint qualification requires uninterrupted controller admission.",
    "grip_only": {
      "controller_status": "Controller retained-at-5s and final hold are reported separately; native success never grants actuator permission.",
      "definition": "Correct 100 ms native admission prefix, then every native predicate sample through the next 5 s; complete valid warning-free run, no unexpected contact anywhere in the run and no force-ceiling violation on any subsequent hold row.",
      "duration_s": 5.0,
      "missing_followup": "No admission or less than five seconds of recorded followup is retained as failure, never padded.",
      "native_dt_s": 0.001,
      "predicate": "Both contact counts positive, both pad forces strictly >0.01 N and <=10 N including the admission-prefix window, no table support or unexpected contact, rise >=0.006 m from this probe origin and TCP-local drift <=0.003 m; distance epsilon1e-12."
    },
    "maintained_claims": "At every post-admission boundary claimed qualified, check the complete native history from admission through that boundary. Count grip and pose contradictions separately; false initial admission also invalidates subsequent grip claims.",
    "stationarity_details": {
      "definition": "Primary native grip retention succeeds, and every native TCP pose from admission through five seconds stays within 4 mm and 0.05 rad of the admission pose. Identical bounds for all four controllers, measured from recorded native poses.",
      "duration_s": 5.0,
      "name": "grip_retention_and_tcp_stationarity",
      "orientation_ceiling_rad": 0.05,
      "position_ceiling_m": 0.004
    }
  },
  "source_commit": "3f30847a7285a180f93b8b0beac0def1a7ceb912",
  "source_sha256": {
    "__init__.py": "4c0db7cec4588f99f061f7783bbfba210e246205654a1dcb6c8c03c252254dcb",
    "__main__.py": "78bb668b0d74bf68d7ff0fa4cf72353b4681394e975c8b0d7989a779aa6d0ac8",
    "action_demonstration.py": "439c7cce558571221660cd51e7dba1675203237706ea8ea0f97f2fcf9a6a24c5",
    "arm_benchmark.py": "b45bce3072d6a3c0c5b67307b31c184907cd0c8f08f910c004fea79a4cb44412",
    "arm_distill.py": "14640f91ec9c91d10a405fa56eb21bda8b55b285854ce2b5859a71d1ffd06ea1",
    "arm_entrypoints.py": "c6b6400ad7aa8bf415277961dbca641ef9061871634b0127231b0990a820e4d2",
    "arm_env.py": "e4af9b75364a568284b1e6d96469deacf498dd87a60b067fa5e310fe15c54c00",
    "arm_interface_benchmark.py": "2b70e624264bed0c003d4836fee192f9b16d22dc59a91dd9dd54180abf4ed857",
    "arm_interface_cli.py": "75baae1e7ecbc7d33cf3d2a1d0a29f5dfc8b96bcd5f0503cb6e642ea8add7874",
    "arm_interfaces.py": "f5fd3952b194bc7d12dfefad25aa4bb6057a1bade90d593242b2c5099fb3570d",
    "arm_native_offline_check.py": "d71c194941688e76845907c31e139d58eecc3951ebe73f51dd796467da02edb0",
    "arm_pack.py": "acf1987de08f205cd3bf36b2b9154481f1e5e6f8948960e4da39790d820dc845",
    "arm_policy.py": "d6d53d87703fb8608390092309285afb6a2c8fd3103a7abd77668be85469eab3",
    "arm_qualify.py": "e89dffc46994a5b9c41c30f76d295910ef3e15a361bdd67ec8fcbfeb02d5382f",
    "arm_runner.py": "affb5812b6a395f6cca9cb4e900af2ef28162e7ff1e52a51bd29b789daa98df1",
    "arm_skill_install.py": "105fff2f7d220e106243dc9cdd0bf71c411a0ca40648a985c0425ad403398507",
    "asset_benchmark.py": "922cce190521b2b6a404bcece90e0f9f84b007d4987011d25ff5c8f6f914c40e",
    "asset_cli.py": "1d2780937df6c633674999208ee05ea821028b0c418d56c0269b8b4f3490e860",
    "asset_library.py": "347bfdeb61e22eb3f65e317c18f94d3b2076d05def77630ebbb6e7dde427c2a7",
    "asset_preview.py": "12f4806162504a3c8773b10b516d6b7abb05f670a1f5817be144ea98fc1d25d8",
    "capsule_installer.py": "60bb1652cae830fd03ae6eaa5e10150c957be13e1dc630a5631c1a2692ae37ec",
    "cli.py": "192ec6a0852c7fd5dd3ae912815dae2fc7c9cfb93b97c85d528060e00a975b17",
    "continuous_grip.py": "c9a3e2ed8f0beb9974e346899ca36ce3c7a0957a09dc234c47ba97a6d6e097da",
    "coverage.py": "d7d742ff9750d044f5c4d11f9c3bf9499f48c8852a3cef22de192b42eb384fbf",
    "doctor.py": "23b56b20626c02fe88d1aae89b9e7c701cd7acb800eadbe5002695f4f9fdb6c0",
    "embodiment_calibration.py": "0531be511b3bc549576a33930394d33b673c146d5e52c29198096632ea7478c5",
    "embodiment_cli.py": "cd8aa0f8bc1ffc15509b1a0f155ef9ac2056d96425f803ce034b365931daf6e1",
    "env.py": "929c1d8c3c4cafe0054c633ee5f3e51c551dd6b26ae014ab1ea9219b58eca8e4",
    "episode_tape.py": "abae9a4bd0080c7f638c5c82c050fb1364a20769998c054354b918233669f5d2",
    "footage_benchmark.py": "a2c08b4836b92ee8c98c56dd5d56a788d7b71e591be63a8181584693312418bd",
    "footage_data.py": "c54828b712afb1c7e89dc764b34dec1fe1ab28517c3ec589ba0977a2146c450d",
    "footage_example.py": "4a7ea616c3b0ae6a79cf97e162ea1488b4ed2853cccbcf6da52a4fe4a120ee38",
    "footage_pipeline.py": "195278556a2b40dc628dbe528ec653c8b705a4ff45fa8d1074bf5341daec4dfd",
    "footage_train.py": "2457a37a10016df6f359433f224c006b8c67f920b671383cbcfd5cfa78fc626b",
    "graspability.py": "735239a7071cbfd3258d09f260bb2bd82b7a0a4577013cae594bfb8542ea03ee",
    "graspability_benchmark.py": "47687b0a214140d16cb29611b7f933945398cf4ba82064dfa58b30cbef4f2308",
    "graspability_protocol.py": "6df01c6b7441859573052510d2b7e95d207d93f9a02a383771a9174bfb6b43e5",
    "grip_benchmark.py": "236ebcd0df1547bf0146675289d57c535d67a3aa2c051456bc9e8b4542bf59ac",
    "grip_protocol.py": "762c5011cb242ded7355dd3d9b97dd465c0e14e7ef3977ed12e0037017fd0532",
    "hinged_shoebox.py": "9e9189b28bb0f97d699039168e8c5022df3afb34aadb0d9f8a04dc4592aaf2e9",
    "image_goal_benchmark.py": "38fa1de5da6ee9f8e0ab60bc77d2561e82de0dad17dcc1d067b5816d8633996a",
    "image_goal_report.py": "7823e510a8cbcd6a521a5a65bd652e2acd01893c6dfe7d899db2a1427ccb979e",
    "image_goal_scenes.py": "1fe41c3fe4d372b068681caf3f63766285b9238976043a9e15fe4dbadb40b79a",
    "installer.py": "d3a2c5a4913920c52beef89df9954494b89fd0becb08bb4847264dae48d3761c",
    "jev_client.py": "f5dad86c692144a1cf85bfeecf68b99318ea8d9df08e0fe5d47d144f80a380ee",
    "local_goal_benchmark.py": "d1cf4990ba0239418855ea851416e37d3f3fd5c5e38bc0fb6183e432ba4e3ecf",
    "local_goal_scenes.py": "58e8a01aae646a4e9078ebb1b2e629a23c93ce42198b027696a6e77dea0858b0",
    "local_goal_verifier.py": "234d6374ae01cfdfd56fbfe1a4e1f27fc58baf8df88f47b02a30ca64bc238da5",
    "local_goal_verifier_report.py": "71b884f9aec766a1ccbb7aa65cb893709a2a98d29451e027ca9e245114daf8b5",
    "material_appearance.py": "e7bd6c4a6b7ad7961dbc09f9be9f12483d90c7af5920b80261e4094ced62cb5a",
    "material_appearance_benchmark.py": "96dff1233131162ba9ad497e790798bfdc02336a1e821d46db7fa487c8acc5fe",
    "motion.py": "5ffa58aba23f7379c4be311c89acc0bf312ba7c0505a86d7e708988ef457083c",
    "motion_benchmark.py": "d371dcabd905948670e9d9e49bdb4c2c7abb3f8a761d4daf33b68ca73e72919d",
    "motion_cli.py": "fbdb97be70c94dd07d899c6baa38cf9b821b4b29e1e8afb529e1a5f7f63c1823",
    "motion_studio.py": "21ee0bea8ef04221f3bb229eac4b2873d0171c3ecf318cb4c169e74fb324358b",
    "motion_video.py": "16f09081c79891b32aa6c907d8f511ac98cce7d87280e2f75c992ff6f7f15f9d",
    "motor_benchmark.py": "535ee01df0a60ade43f845cd55119f0eac061f8fe16b136f8fb0b1d2565ba976",
    "motor_memory.py": "acb836c4b139ccd0a58b1e7e438638e390feeca793abe61570840b111d780806",
    "motor_metrics.py": "a981953181472fc735dc9b6722b598dab1a5457d77b93270691543c7d19e4c1b",
    "native_offline_check.py": "f550f650a1e7fdaeff38c0aec07782df7cf456e20663c7fba6cede8510e9120e",
    "observation_models.py": "9f0af51577ed060728de4dea6f6004d640376fca365b8d747d93f7c0a66bf01a",
    "observation_pipeline.py": "d202417692c04078e7800476393bb9381b36a4cedfa78cbd937e558e3e7a27b2",
    "observation_studio.py": "256c6eef1baa909abd7adb000ee021a6512fdca9ed14d76223486efedcf1a707",
    "observations.py": "77324107aa8e7cf1c5dac217881ae83710627e81ade2b6b1a41c604b1b34253c",
    "pack.py": "885e973907499a505fef4d28ac6bb5eb2b2dbba498efc94d9e6c8125b9bd52f9",
    "piper_action_capture.py": "ee20549f9bd239a2314c28947a0c69dd7c2b11150475685747a2c7dc0f8b399e",
    "piper_contact_benchmark.py": "6ebd44c3704cda8679335f988df0dcc7817b3f8da314b7a4fe8b3939215728bb",
    "piper_contact_memory.py": "f608d6647046f6fa02d8ad5e87fad10853837520a6a0fae2043c7ad260a06c4c",
    "piper_contact_recovery.py": "81058659b332f4d1233fb88d9e3d84fd935f5a9fe9d418b040a4a536b5291f6c",
    "piper_feedback_benchmark.py": "76fd214eb5033019b42c034e7c504c1610cca7e9a924edeb9f84d52ad29aa264",
    "piper_feedback_env.py": "0dbae423231968a81bdeed52226d8dffaf8df622013ed3a360d7217148f1bcac",
    "piper_feedback_model.py": "b0cdaa4e9adc302649eab9365f619a8825f05f2d752688245a6b7b7f8a665845",
    "piper_feedback_score.py": "863a272828208c631de4cf57647e973eb3e4f5e99eb7a1eacb4eaa68dc42eb0e",
    "piper_feedback_skill.py": "1824dbb7a2f47a01051419020b15393c841b2e7ec3aa5ed2801943495a5e729e",
    "piper_feedback_viewer.py": "0e2a20f94bf67057db7664b1fa7ea96145c8cedb01ae147b8ca18fd0b9c1e3e5",
    "piper_grasp_strategy.py": "a2cbf9f954f6428894bd11cb42f228fe86f2ae88ba62e431f78bc33c7f3db36b",
    "piper_grip_adapter.py": "e9c480ca6ebd21d4e00b4f4136f623dd9b7cda402dc8ec9669fb4982267e0aa7",
    "piper_grip_benchmark.py": "7ab72a8cbe77d4db96d3fa45087571e3e1d64f40fe92b6f37032936701f318e1",
    "piper_grip_clock.py": "0ae71aab4d5a5a74c10820f729fd0a1f2ffc938ce9ab0507f4d1bc0077ce592c",
    "piper_grip_clock_benchmark.py": "1dc5733a75689479d11a67f4e69a1c6c2da29be8eb3d54cea6a3b8bea4685193",
    "piper_grip_clock_cli.py": "bffb4a8b1fc2259f8a0126c5435ae2eff80f7e630c3cf1c43509fbafdfb2494b",
    "piper_grip_clock_env.py": "4fea7289c1aeea209e6c4ab2090d88271ba1663e836b24a77fb3f39749858c99",
    "piper_grip_clock_model.py": "4ef0464b0e4f1339156f4531dff76c85826594af60f2fbc5d949363744c34ba9",
    "piper_grip_clock_skill.py": "4044ba290b525a915200e69db727c3b62cdf4204be0b2de565f68fe0844a5de3",
    "piper_grip_clock_viewer.py": "133bffbb0857ca6e3e6440d39d2f389d94550c4e3aae8c1741da9f1fac9407d2",
    "piper_grip_guard.py": "90895566cad8d5a3c158a14d3165fa1866cb3d7a4a3eecac3ca0ca8ab3e88dfb",
    "piper_grip_wait_v04.py": "41889e7c88d8d95441ba212442778b7e235e1e7ec42d941219a93d6e4762b6d6",
    "piper_grip_wait_v04_benchmark.py": "8a84270289e08802ec690079cdccf775252460f2e97202c1696e2ee6900ff460",
    "piper_imitation.py": "849f66512c58441a240cd20230fcc58691234ddd254c5bbcbfd76abc21b14868",
    "piper_imitation_benchmark.py": "0ef4649f8e84fc74166fa1acc4d7348aae885ffec238e4b4d714ccf2ca54993f",
    "piper_imitation_driver.py": "b739dc1d75ed5140b0c07fca406a15d861e00208ea58f3113641b3b7256bd699",
    "piper_imitation_release.py": "63c7c036bfdd08275a3b6b9664e34f23b2bd2e36153289e5a47e3b2f1e56fff4",
    "piper_imitation_score.py": "0cd4663abfdd7f14f2f33d93e9a2bd45122b998d6160d45b8afcc880512cba2b",
    "piper_imitation_viewer.py": "1258610a0ea11dbafc6437de79cf73561f3420e3914ce80a9c330b0c3744e0d6",
    "piper_incremental_benchmark.py": "bc7d0b3828fbce18f1d8932c0b7b951a22c4531810c94256705d8a670a47d6e0",
    "piper_incremental_hold.py": "8c4209aa8cf79af1213bb62eab9210af2999b556f5751edbe373dbcee70b99d2",
    "piper_learned_grip_benchmark.py": "fc2fb376507bb0036aa1ed300f9f07f4a4bcdc55eacf7e7e1798fdce1af8db9b",
    "piper_learned_skill.py": "8d5ab88ff6819920c8fdf8caf1cbf5f6eb2d5e5a597db8da01119a815800d960",
    "piper_motor_primitive.py": "02a45b88913db6f223e4d9975eac64d4942a92739c5817c6ede4cc9fa332ed1c",
    "piper_probe.py": "82b47a1d5ce0e6d13bd0b8d97f49809c13dda6d202529b44e69cdf70c547442c",
    "piper_probe_benchmark.py": "3450c4663a4b5b59cc5117d0db86c4d549253f114030e90036fa3adaa0e49e7e",
    "piper_reacquisition.py": "b1eaffd7f9d80f21d3b9371e1adbe8b9c730a834745d8160c558937d35691e21",
    "piper_recovery_benchmark.py": "081ec18d90c91fe910c957ab3485444cfe2376ef7277be92823806c7c0e290bd",
    "piper_reliability_benchmark.py": "07672ae3f791c15df364580d7f9dc1758c23e5744374a6580720c4883b69aba9",
    "piper_retention.py": "9b762280e89287382bf56d22d26957ccdb7f1194f82ee5cbc70248559d4e5c9c",
    "piper_retention_benchmark.py": "5ee6441e309e4bf556a12a1ec70af0753b4d90caa1dfbf1fb581e74de46319d5",
    "piper_task.py": "e66a44a8df4e7a8ee42e4f3866f889f8797cdfb8e2688a146e09b75d2c76664f",
    "piper_task_benchmark.py": "d1294fac93bb42a26a654c6fd0950718e528cbf3cd96ffcd53118da0a1646776",
    "policies.py": "f52071d8af4ffa215c0c5ac57a7591e12e9e17b834b4bfb2a1705e7e0a7f5154",
    "prerequisite_benchmark.py": "c78efb24263300c56f50413aa65333e4fbf1b99403aa816de9bf4cb5656a3811",
    "probe_evidence.py": "c00114752dd5da475762660fefdfd1e77e64ce07661e0d23221fe2b6ac9a3431",
    "qualify.py": "2f9566f9c550723cbf96342e075e68dc291446c4fbd3935cec9d333371ab1457",
    "reaction.py": "46ac1fd0e603bb6a500037fccf41b393bb2165ee2da7819895b0cc497f216e6e",
    "reaction_benchmark.py": "54d22a9e2d457fc7c248f4515788659b5e24a44e967659405e75e2f25880af13",
    "reaction_convergence.py": "efaa222d7a4b0102b0f8f14dfbca1d100abf7ee1a15a37bd4f8d8bedaac83b62",
    "reaction_metrics.py": "7cae6fd429ca63bad5d2323f6cc022f9c735c775821ed6f16809f2b339dc52ee",
    "reaction_native.py": "4fa13b7446fcacfa6333b9904e6b9e34fb0f95bf3a8681e68a15be48e74984e4",
    "reference_assets.lock.json": "941eb6f9fd474635a590b82c66b59a9d5124d8e0d9ddc203006f5b921d8d2861",
    "reference_replay.py": "f73731434d55bac150db16c7205d341a70b95ce13e582e7a23d11dee31b27a19",
    "reference_sim.py": "c1201d22eb13dd07a236ee63cc4ba68e129f6067e8db61ed41af2d820eb5e3b8",
    "reference_task.py": "bbc768ccc202b8dd41cbd235b206e6478806ce47c1f30ae15dc662c0c1edcc3e",
    "reference_task_benchmark.py": "a04ab0918b1931601cc3861ab3b9b55ddac52a29c23d2e61ee8e467a87d461cf",
    "reference_task_replay.py": "8a95050a384a080f66ff7cbbbfa1b8de8a389ec4fbfa4207149098f89ef3cdd3",
    "robot_profiles.lock.json": "4b2ee2ca675aceb2f826983cb3082a3e08e9aa0ff419b23078abcff08ebcc6fe",
    "robot_profiles.py": "fb90782a6a9979e282182118ae0e3e29d00f101255cc57378dd3f692672bb13d",
    "sensor_goal_benchmark.py": "d676f67cdf9ea5ead8a118c88bb8e3cdc3ef085d35505055a29d6fc05b6bd917",
    "sensor_goal_observers.py": "53e96c99ffae058c701c9ccc0b5339317262909637acc14b351bec9e6cca99f7",
    "sensor_goal_scenes.py": "9aac1531180364a380d01fcbb52375cd1f1e4aea18fa6f93d581a316b14f5af1",
    "sensor_goal_verifier.py": "7d54a444e4a4a79c0b5a554fc0883ad88f091deb43ad0759d3a70e2e4a9dd90e",
    "sensor_goal_verifier_report.py": "960469041ce3928056292d6881e50f5b5591a1fdc5ffdaf17d3448d94a7b04cc",
    "skill_capsule.py": "ecb7dbd60d3a11f40bf65c4520f024b449c0d63f9ae27c601c9c9fe17b32e6a0",
    "skill_release.py": "f08f0d9405c73534bf75881e5f55db1fe4ff36bc086d9b04d11a7a9c479f07d2",
    "skillspace.py": "34b651609358ae9a58b9a610545ce7b85b83fb3d6c699613414ff8e0ea457b3c",
    "skillspace_video.py": "cdd21bce67fbb5059c9b8338c1d16b68b4fc9e4943151453a4607159402c61f1",
    "studio.py": "48813b43c14e93d7de72890428455f13ac6a7080105d28bb50c1ff04496414d4",
    "task_feasibility.py": "d08c3d279e031aa87426938a8dfd86ebcd4dac83c100cbd6a5c36c07c9741510",
    "task_scene.py": "17034a12980fd69960adbb7b4be427bdde89222d6c69b75ddd51f90f99d48ba9",
    "task_scene_audit.py": "d1640bc14164c179d90baa44e8777dce2dce13d81edde17fa39e6519ba74ddfc",
    "task_scene_benchmark.py": "6c6a3db8edec4ab95d17aa7a58d5dfff668fe72783c036ec55f251c5315eb4d5",
    "task_scene_studio.py": "6dcf0f42e05f5749c66d9d7e08b3ec7437edddee43382d1ba7bf7e421e5791c1",
    "tool_reach.py": "812072388b518fb11999dafddd15655f3c750fa84fe09047c55a78c2b509e68f",
    "training_studio.py": "c42cf037abd60a2cb14b0cbb8edb7b6d262e524f62cc17018cb653b2214760ad",
    "transition_cli.py": "b21e3b44fb84577c7da95bc3844e61417a214882bf045b07f2e3984aaa1c96f4",
    "transition_model.py": "5315c65f547d0876bca190f68b17548fbdbc10819b44d28405d4de8a76ac4ef7",
    "transition_pilot.py": "cafb5e31bd9a07f224339e1f636abccc5f8aecd1efce0ecb4413bbb79441217c",
    "usd_scene.py": "8b6891deb214f2397249181390350336593a89adbc73cf0c30bcdfe885171470",
    "usd_scene_benchmark.py": "b64d739362079635f89b9f448359565f09711d74a95aeeebaba0ea7bb3f79f39",
    "video_goal_analysis.py": "9f3c696a20813312f065e8458421d0ab3282d87ba17e0b3bb5d7db12f44cee58",
    "video_goal_benchmark.py": "69ecc7d9512abe04cc815dbb77c126cb671dd88b5c51a2643c1d8794fd3703ec",
    "video_goal_bridge.py": "c7794ff3fd18876774e8aaad425ba93ff798a84355b27216d9d51c33f610441a",
    "video_goal_install.py": "dbdb70f85f494f05e30b58ec3a53bf7c834b9cf8696fea0a26b3caffb718bef4",
    "video_goal_install_benchmark.py": "fe8833f924fd1d06058033fcd1a39d2677fe6f159c2c0bf1c78d14c74036dab7",
    "video_goal_studio.py": "6a7731eb60c8d018b9f2d1760f7f990eeaef4917899ae58b4967c6fd6a9146b4",
    "viewer.py": "2fc396aaace350c0fa795fdd907dff96179fcb919116d3d5f1a7b3fa9392376d",
    "workstation.py": "2a6aa6686b5b273efcfb21156952df8ceca88d991674cd17df92f2dccc11b701",
    "workstation_benchmark.py": "9468ad25ca2e173fef9966bfd0f7cb291e81e69ec0d876be8ede23ea5ec45090"
  },
  "timing": "Unpaced shared-host policy-call and full control-step wall/CPU compute; step includes dense telemetry. Reset/compile and evidence serialization are separate from step samples. No sensor/hardware latency or real-time guarantee.",
  "variants": [
    "measured_joint",
    "issued_joint",
    "cartesian",
    "incremental"
  ]
}