Add measured object-layout CTT validation rollout

latex/main.pdf

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b2c75b96d21689e0a0f512735774dc857295beaad9a4ad3c65e147e3d1cf2e4
-size 349512
+oid sha256:24b8b698b150b0890698755e3f381d86663e3e6dbc6f90756ea2eea72bd15fec
+size 352512

latex/main.tex

@@ -462,6 +462,24 @@ points. The selector failure remains: selected success is 24.15\%, below the
 deterministic visual statistics help proposal support, but they do not solve
 deployment-clean action selection.
 
+\begin{table}[t]
+\centering
+\caption{Measured validation rollout for the deterministic RGB object-layout
+chart token, across three train seeds, K=8. The proxy gate passes by mean
+positive distance, but measured rollout does not improve over the RGB-stat
+validation row.}
+\label{tab:ctt-base-context-obj-val-rollout}
+\scriptsize
+\resizebox{\linewidth}{!}{\input{../runs/ctt_base_context_obj_val_rollout_comparison/table}}
+\end{table}
+
+Table~\ref{tab:ctt-base-context-obj-val-rollout} closes the loop on the
+object-layout proxy diagnostic. Despite passing the proxy gate, the measured
+proposal oracle is only 38.16\%, below the RGB-stat row's 40.58\%, while
+\outcomeptr{}@8 remains 50.24\% and selected success drops to 20.29\%. This is
+negative representation evidence: foreground component layout alone is not the
+missing visual-language or object-centric causal chart token.
+
 \begin{table}[t]
 \centering
 \caption{Measured residual \ctt{} rollout on 48 test positive-support charts

outputs/hpc/logs/ctt_ms_rollout_15116890_0.err

@@ -0,0 +1,34 @@
+2026-07-03 13:15:47,083 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:47,982 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:48,876 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:49,844 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:50,749 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:51,684 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:52,562 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:53,365 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:54,180 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:54,995 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:55,941 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:56,886 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:57,810 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:58,659 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:59,522 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:00,467 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:01,406 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:02,253 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:03,090 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:03,949 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:04,883 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:05,825 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:06,666 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:07,528 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:08,381 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:09,304 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:10,202 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:11,030 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:11,854 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:12,689 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:13,584 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:14,503 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:15,398 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:16,280 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.

outputs/hpc/logs/ctt_ms_rollout_15116890_0.out

@@ -0,0 +1,9 @@
+{
+  "out_dir": "runs/ctt_residual_base_context_obj_rollout_val69_seed0/measured_metrics",
+  "num_rows": 69
+}
+{
+  "out_dir": "runs/ctt_residual_base_context_obj_rollout_val69_seed0",
+  "num_rows": 69,
+  "measured_candidates": "runs/ctt_residual_base_context_obj_rollout_val69_seed0/measured_candidates.json"
+}

outputs/hpc/logs/ctt_ms_rollout_15116891_0.err

@@ -0,0 +1,34 @@
+2026-07-03 13:15:46,763 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:47,710 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:48,594 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:49,543 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:50,440 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:51,318 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:52,250 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:53,056 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:53,837 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:54,602 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:55,462 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:56,380 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:57,261 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:58,095 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:58,933 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:59,774 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:00,712 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:01,629 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:02,468 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:03,298 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:04,134 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:05,060 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:05,980 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:06,828 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:07,660 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:08,490 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:09,398 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:10,306 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:11,118 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:11,929 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:12,759 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:13,664 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:14,561 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:15,376 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.

outputs/hpc/logs/ctt_ms_rollout_15116891_0.out

@@ -0,0 +1,9 @@
+{
+  "out_dir": "runs/ctt_residual_base_context_obj_rollout_val69_seed1/measured_metrics",
+  "num_rows": 69
+}
+{
+  "out_dir": "runs/ctt_residual_base_context_obj_rollout_val69_seed1",
+  "num_rows": 69,
+  "measured_candidates": "runs/ctt_residual_base_context_obj_rollout_val69_seed1/measured_candidates.json"
+}

outputs/hpc/logs/ctt_ms_rollout_15116892_0.err

@@ -0,0 +1,34 @@
+2026-07-03 13:15:45,526 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:46,301 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:47,025 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:47,741 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:48,499 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:49,219 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:49,933 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:50,650 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:51,406 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:52,158 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:52,909 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:53,693 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:54,405 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:55,155 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:55,863 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:56,631 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:57,429 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:58,144 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:58,860 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:15:59,603 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:00,346 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:01,087 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:01,825 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:02,573 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:03,328 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:04,071 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:04,807 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:05,551 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:06,288 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:07,024 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:07,739 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:08,448 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:09,164 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.
+2026-07-03 13:16:09,898 - mani_skill  - WARNING - No initial pose set for actor builder of goal_region, setting to default pose q=[1,0,0,0], p=[0,0,0]. Not setting reasonable initial poses may slow down simulation, see https://github.com/haosulab/ManiSkill/issues/421.

outputs/hpc/logs/ctt_ms_rollout_15116892_0.out

@@ -0,0 +1,9 @@
+{
+  "out_dir": "runs/ctt_residual_base_context_obj_rollout_val69_seed2/measured_metrics",
+  "num_rows": 69
+}
+{
+  "out_dir": "runs/ctt_residual_base_context_obj_rollout_val69_seed2",
+  "num_rows": 69,
+  "measured_candidates": "runs/ctt_residual_base_context_obj_rollout_val69_seed2/measured_candidates.json"
+}

reports/2026-07-03.md

@@ -96,7 +96,7 @@
   - `15116890`: `base_context_obj` seed 0, validation 69 positive-support charts, K=8
   - `15116891`: `base_context_obj` seed 1, validation 69 positive-support charts, K=8
   - `15116892`: `base_context_obj` seed 2, validation 69 positive-support charts, K=8
-  - current scheduler state: pending on priority.
+  - final scheduler state: all three jobs completed with exit code `0:0`.
   - purpose: object-layout proxy passed the support/safety gate by mean positive distance, so the next evidence must be measured OutcomePTR rather than another proxy claim.
 
 ## Jobs Completed
@@ -230,6 +230,13 @@
   - `runs/ctt_residual_base_context_obj_seed{0,1,2}` and `_val_proxy`: PPTC@0.20 `0.2271`, PPTC@0.40 `0.6425`, NegativeNear@0.20 `0.0380`, mean positive distance `0.4340`, diversity `0.2417`, proxy gate `pass`.
   - `runs/ctt_residual_base_context_obs_obj_seed{0,1,2}` and `_val_proxy`: PPTC@0.20 `0.2077`, PPTC@0.40 `0.6425`, NegativeNear@0.20 `0.0285`, mean positive distance `0.4429`, diversity `0.2448`, proxy gate `pass`.
   - interpretation: object-layout-only slightly improves mean positive distance over the RGB-stat row (`0.4340` vs `0.4347`) while staying inside the NegativeNear safety slack, but it does not beat RGB-stat on PPTC. This is enough to submit measured validation rollout, not enough for an OutcomePTR claim.
+- Measured object-layout CTT validation rollout jobs `15116890`, `15116891`, and `15116892` completed with exit code `0:0`.
+  - seed artifacts: `runs/ctt_residual_base_context_obj_rollout_val69_seed{0,1,2}`
+  - aggregate artifact: `runs/ctt_base_context_obj_val_rollout_comparison`
+  - rows: 207 validation measured rows = 69 charts x 3 train seeds, K=8
+  - selected success `0.2029`, base success `0.2754`, proposal oracle `0.3816`, hidden oracle `0.6667`
+  - OutcomePTR@8 `0.5024`, success support gap `0.2947`, success selector gap `0.1787`
+  - interpretation: proxy gate pass did not translate into better measured support. Object-layout-only is worse than RGB-stat on proposal oracle (`0.3816` vs `0.4058`) and selected success (`0.2029` vs `0.2415`), so it is a negative representation diagnostic.
 - Base-context-observation CTT proxy diagnostics completed for three seeds:
   - train artifacts: `runs/ctt_residual_base_context_obs_seed{0,1,2}`
   - proxy artifacts: `runs/ctt_residual_base_context_obs_seed{0,1,2}_val_proxy`
@@ -353,6 +360,7 @@ Interpretation: residual CTT beats local-atlas on mean positive distance while s
 | --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | --- |
 | validation | 3 | 207 | 0.2850 | 0.2415 | 0.3768 | 0.6667 | 0.4589 | 0.2947 | 0.1353 | fail: selected/oracle/support/selector |
 | validation + base-context-observation | 3 | 207 | 0.2754 | 0.2415 | 0.4058 | 0.6667 | 0.5024 | 0.2754 | 0.1643 | fail: selected/oracle/support/selector |
+| validation + base-context-object-layout | 3 | 207 | 0.2754 | 0.2029 | 0.3816 | 0.6667 | 0.5024 | 0.2947 | 0.1787 | fail: selected/oracle/support/selector |
 | test | 3 | 144 | 0.2847 | 0.2222 | 0.5069 | 0.7292 | 0.5278 | 0.2639 | 0.2847 | fail: selected/support/selector |
 | test + base-context-observation | 3 | 144 | 0.2917 | 0.2708 | 0.5139 | 0.7292 | 0.5347 | 0.2639 | 0.2431 | fail: selected/support/selector |
 | test + dominance auto | 3 | 144 | 0.2847 | 0.2500 | 0.5069 | 0.7292 | 0.5278 | 0.2639 | 0.2917 | fail: selected/support/selector |
@@ -369,7 +377,7 @@ Interpretation: residual CTT beats local-atlas on mean positive distance while s
 | test + learned dominance | 3 | 144 | 0.2847 | 0.3056 | 0.5069 | 0.7292 | 0.5278 | 0.2639 | 0.2569 | fail: selected/support/selector |
 | test + base-context-observation learned context dominance | 3 | 144 | 0.2917 | 0.3264 | 0.5139 | 0.7292 | 0.5347 | 0.2639 | 0.2431 | fail: selected/support/selector |
 
-Interpretation: the test proposal oracle clears the internal 50% support target, and visual-stat CTT plus validation-calibrated learned context dominance gives the best current held-out selected success (`0.3264`). The cleaner train-calibrated selector reaches `0.3125`, which still improves over base but does not beat the validation-calibrated diagnostic. Nonlinear train-calibrated selectors do not improve this number. All rows remain far below the selected-success gate and leave large selector gaps. Standalone train-only utility-energy checkpoints do not transfer well enough across three seeds. The next paper-critical work is richer visual/object-centric chart representation plus a stronger train-only utility/dominance model, not another proxy-only generator result.
+Interpretation: the test proposal oracle clears the internal 50% support target, and visual-stat CTT plus validation-calibrated learned context dominance gives the best current held-out selected success (`0.3264`). The cleaner train-calibrated selector reaches `0.3125`, which still improves over base but does not beat the validation-calibrated diagnostic. Nonlinear train-calibrated selectors do not improve this number. The object-layout proxy pass does not survive measured validation rollout and is worse than the RGB-stat row on proposal oracle/selected success. All rows remain far below the selected-success gate and leave large selector gaps. Standalone train-only utility-energy checkpoints do not transfer well enough across three seeds. The next paper-critical work is richer learned visual-language/object-centric chart representation plus a stronger train-only utility/dominance model, not another deterministic proxy descriptor.
 
 ## Leakage Audit Status
 
@@ -390,7 +398,7 @@ Interpretation: the test proposal oracle clears the internal 50% support target,
 - Split hash remains `aaa857b92cbe5d455009f3ca3380e8b124908aa6c4c99fc1da408f738ed2dcf6`.
 - `runs/chart_feature_audit` documents the original `data/cil_charts` inputs: instruction and scene ids exist, but observation embeddings/raw refs do not.
 - `runs/chart_feature_audit_rgb_refs` documents the new non-destructive RGB-ref export: all splits have observation refs and deterministic 32D RGB-stat embeddings. This supports visual-stat diagnostics only; it does not yet support a learned visual-language/object-centric claim.
-- `runs/chart_feature_audit_rgb_refs_object` documents the deterministic 64D RGB object-layout export. This is a leakage-clean representation diagnostic; full proxy rows are pending and should not be promoted into main results until `15116833`/`15116834` complete.
+- `runs/chart_feature_audit_rgb_refs_object` documents the deterministic 64D RGB object-layout export. The full proxy rows and measured validation rollout are complete; the measured result is negative relative to RGB-stat support.
 
 ## Paper Changes
 
@@ -409,7 +417,8 @@ Interpretation: the test proposal oracle clears the internal 50% support target,
 - Added RGB-ref/embedding audit evidence, the three-seed `base_context_obs` proxy row, measured validation/test rollout aggregates, and visual-stat dominance selector diagnostics. The draft describes this as a deterministic visual-stat support plus selector diagnostic that improves held-out selected success, but still not object-centric, learned visual-language, or enough for selected-action deployment evidence.
 - Added `cil/chart_features.py`, `scripts/audit_chart_feature_sources.py`, `scripts/export_chart_observation_embeddings.py`, and `scripts/slurm/train_ctt_feature_proxy.sbatch` to the reproducibility artifact list.
 - Added `scripts/export_chart_object_embeddings.py` to the reproducibility artifact list as a deterministic object-layout chart-token exporter.
-- Updated the validation proxy gate discussion to account for object-layout rows now present in `runs/ctt_val_proxy_comparison/table`: RGB-stat remains best on PPTC@0.20, object-layout-only is slightly best on mean positive distance, and both remain proxy-only until rollout jobs `15116890`--`15116892` finish.
+- Updated the validation proxy gate discussion to account for object-layout rows now present in `runs/ctt_val_proxy_comparison/table`: RGB-stat remains best on PPTC@0.20, object-layout-only is slightly best on mean positive distance, and measured rollout shows the object-layout row is negative relative to RGB-stat support.
+- Added the measured object-layout validation rollout table via `\input{../runs/ctt_base_context_obj_val_rollout_comparison/table}` and described it as a negative representation diagnostic.
 - Reframed the title/abstract around `Counterfactual Action Atlas`; CTT is now the current transport generator inside the Atlas, not the whole novelty.
 - Tightened the abstract to avoid overclaiming a successful learned generator: the paper now says the Atlas measures local do-action geometry and audits whether deployment-clean generators reach positive support.
 - Added the train-calibration leakage rule to the split contract: when target charts are from train, retrieval excludes same chart id and same restored-state hash.
@@ -423,8 +432,8 @@ Interpretation: the test proposal oracle clears the internal 50% support target,
 
 ## Next Actions
 
-1. Monitor Slurm arrays `15116833` and `15116834`; aggregate proxy comparison and summary as soon as object-layout feature-mode runs finish.
-2. If object-layout proxy passes the local-atlas gate, submit measured validation rollouts before making any OutcomePTR claim.
-3. If object-layout proxy fails, diagnose whether the foreground layout token hurts source retrieval or transport collapse, and keep it as a negative representation diagnostic.
-4. Replace the current weak train-only utility/dominance model with richer visual-language/object-centric chart tokens; the best clean train-calibrated selector reaches only `0.3125` selected success.
-5. Add unsafe execution rate and calibrated fallback rate to measured rollout artifacts.
+1. Stop treating deterministic object-layout as a likely win: it passed proxy but failed measured support relative to RGB-stat.
+2. Replace the deterministic RGB/object descriptors with learned visual-language or task/object tokens that can distinguish target, distractor, gripper/contact region, and task stage.
+3. Train utility/dominance on richer outcome-vector features; the best clean train-calibrated selector still reaches only `0.3125` selected success.
+4. Add unsafe execution rate and calibrated fallback rate to measured rollout artifacts.
+5. Rerun validation/test measured rollouts only after a representation or utility model change, not another shallow selector/proxy-only change.

reports/draft_audit_ctt.md

@@ -116,7 +116,12 @@ positive distance over the RGB-stat row (`0.4340` vs `0.4347`) while keeping
 NegativeNear@0.20 within the safety slack, but it does not beat RGB-stat on
 PPTC. Therefore measured validation rollout jobs `15116890`--`15116892` were
 submitted for `base_context_obj`; the main paper should add OutcomePTR rows
-only after those jobs finish.
+only after those jobs finish. Those rollout jobs now finish as
+`runs/ctt_base_context_obj_val_rollout_comparison`: selected success = 0.2029,
+proposal-oracle success = 0.3816, and OutcomePTR@8 = 0.5024. This is negative
+relative to the RGB-stat validation row (selected 0.2415, proposal oracle
+0.4058), so deterministic foreground object-layout should remain a negative
+representation diagnostic, not a promoted method improvement.
 
 Current artifact evidence:
 
@@ -159,8 +164,9 @@ Current artifact evidence:
   `runs/chart_feature_audit_rgb_refs_object` contain the new deterministic
   RGB object-layout chart-token export and audit; Slurm arrays `15116833` and
   `15116834` contain the completed full proxy jobs for the corresponding CTT
-  feature modes, and `15116890`--`15116892` are the submitted measured
-  validation rollout jobs for the best proxy row.
+  feature modes; `runs/ctt_base_context_obj_val_rollout_comparison` contains
+  the completed measured validation rollout for the best proxy row, which is
+  negative relative to RGB-stat support.
 - `runs/ctt_learned_dominance_val_to_test` contains the first learned
   validation-calibrated dominance selector diagnostic.
 - `runs/ctt_learned_dominance_{success,success_weighted,margin_ext,tangent}_val_to_test`

runs/ctt_base_context_obj_val_rollout_comparison/command.txt

@@ -0,0 +1 @@
+python scripts/build_ctt_rollout_comparison.py --run-glob runs/ctt_residual_base_context_obj_rollout_val69_seed* --out-dir runs/ctt_base_context_obj_val_rollout_comparison --k 8

runs/ctt_base_context_obj_val_rollout_comparison/data_hash.txt

@@ -0,0 +1 @@
+1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708

runs/ctt_base_context_obj_val_rollout_comparison/eval.log

@@ -0,0 +1,3 @@
+runs/ctt_residual_base_context_obj_rollout_val69_seed0: measured_candidates.json
+runs/ctt_residual_base_context_obj_rollout_val69_seed1: measured_candidates.json
+runs/ctt_residual_base_context_obj_rollout_val69_seed2: measured_candidates.json

runs/ctt_base_context_obj_val_rollout_comparison/git_hash.txt

@@ -0,0 +1 @@
+14e81292e2004925f81e0bb4810f6f144bfd87b7

runs/ctt_base_context_obj_val_rollout_comparison/measured_metrics/metrics_by_task.json

@@ -0,0 +1,117 @@
+{
+  "LiftPegUpright-v1": {
+    "base_success": 0.3333333333333333,
+    "base_utility": 1.0669441471497219,
+    "branch_car_at_8": 0.5397342965006828,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5555555555555556,
+    "pairwise_causal_calibration_ece": 0.2123556134611932,
+    "proposal_oracle_success_at_8": 0.5555555555555556,
+    "proposal_oracle_success_gain_over_base_at_8": 0.2222222222222222,
+    "proposal_oracle_utility_at_8": 1.3934579665462177,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.3265138193964958,
+    "selected_success_at_8": 0.16666666666666666,
+    "selected_success_gain_over_base_at_8": -0.16666666666666666,
+    "selected_utility_at_8": 0.8537236700455347,
+    "selected_utility_gain_over_base_at_8": -0.213220477104187,
+    "selector_regret_at_8": 0.5397342965006828,
+    "success_selector_gap_at_8": 0.3888888888888889,
+    "success_support_gap_at_8": 0.4444444444444444,
+    "success_total_car_to_hidden_at_8": 0.8333333333333334,
+    "support_gap_at_8": 0.6065420334537824,
+    "total_car_to_hidden_at_8": 1.1462763299544652
+  },
+  "PickCube-v1": {
+    "base_success": 0.0,
+    "base_utility": 0.15342965722084045,
+    "branch_car_at_8": 0.4133657068014145,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.17471460699627128,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.46705442667007446,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.313624769449234,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.05368871986865997,
+    "selected_utility_gain_over_base_at_8": -0.09974093735218048,
+    "selector_regret_at_8": 0.4133657068014145,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.5329455733299255,
+    "total_car_to_hidden_at_8": 1.94631128013134
+  },
+  "PullCube-v1": {
+    "base_success": 0.29411764705882354,
+    "base_utility": 0.6512394689215237,
+    "branch_car_at_8": 0.1168446104449115,
+    "hidden_chart_oracle_success_at_8": 0.3235294117647059,
+    "hidden_chart_oracle_utility_at_8": 0.7823218367993832,
+    "outcome_ptr_at_8": 0.3627450980392157,
+    "pairwise_causal_calibration_ece": 0.21225649007113187,
+    "proposal_oracle_success_at_8": 0.19607843137254902,
+    "proposal_oracle_success_gain_over_base_at_8": -0.09803921568627451,
+    "proposal_oracle_utility_at_8": 0.44994396614321674,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.20129550277830704,
+    "selected_success_at_8": 0.14705882352941177,
+    "selected_success_gain_over_base_at_8": -0.14705882352941177,
+    "selected_utility_at_8": 0.33309935569830523,
+    "selected_utility_gain_over_base_at_8": -0.31814011322321856,
+    "selector_regret_at_8": 0.1168446104449115,
+    "success_selector_gap_at_8": 0.049019607843137254,
+    "success_support_gap_at_8": 0.14705882352941177,
+    "success_total_car_to_hidden_at_8": 0.17647058823529413,
+    "support_gap_at_8": 0.36822861206361696,
+    "total_car_to_hidden_at_8": 0.44922248110107793
+  },
+  "PushCube-v1": {
+    "base_success": 0.3076923076923077,
+    "base_utility": 0.6771644606040075,
+    "branch_car_at_8": 0.6477842434094503,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.6153846153846154,
+    "pairwise_causal_calibration_ece": 0.19356765816347193,
+    "proposal_oracle_success_at_8": 0.7948717948717948,
+    "proposal_oracle_success_gain_over_base_at_8": 0.48717948717948717,
+    "proposal_oracle_utility_at_8": 1.6016510277986526,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.9244865671946452,
+    "selected_success_at_8": 0.46153846153846156,
+    "selected_success_gain_over_base_at_8": 0.15384615384615385,
+    "selected_utility_at_8": 0.9538667843892024,
+    "selected_utility_gain_over_base_at_8": 0.276702323785195,
+    "selector_regret_at_8": 0.6477842434094503,
+    "success_selector_gap_at_8": 0.3333333333333333,
+    "success_support_gap_at_8": 0.20512820512820512,
+    "success_total_car_to_hidden_at_8": 0.5384615384615384,
+    "support_gap_at_8": 0.39834897220134735,
+    "total_car_to_hidden_at_8": 1.0461332156107976
+  },
+  "StackCube-v1": {
+    "base_success": 0.2,
+    "base_utility": 0.8031105498472849,
+    "branch_car_at_8": 0.5405315528313319,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.6666666666666666,
+    "pairwise_causal_calibration_ece": 0.2253301008861889,
+    "proposal_oracle_success_at_8": 0.4,
+    "proposal_oracle_success_gain_over_base_at_8": 0.2,
+    "proposal_oracle_utility_at_8": 1.054750414358245,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.25163986451096004,
+    "selected_success_at_8": 0.13333333333333333,
+    "selected_success_gain_over_base_at_8": -0.06666666666666667,
+    "selected_utility_at_8": 0.5142188615269131,
+    "selected_utility_gain_over_base_at_8": -0.2888916883203718,
+    "selector_regret_at_8": 0.5405315528313319,
+    "success_selector_gap_at_8": 0.26666666666666666,
+    "success_support_gap_at_8": 0.6,
+    "success_total_car_to_hidden_at_8": 0.8666666666666667,
+    "support_gap_at_8": 0.945249585641755,
+    "total_car_to_hidden_at_8": 1.4857811384730868
+  }
+}

runs/ctt_base_context_obj_val_rollout_comparison/measured_metrics/report.md

@@ -0,0 +1,27 @@
+# Metric Evaluation (measured)
+
+K: `8`
+
+| Metric | N | Micro mean | 95% CI | Task macro | Seed macro |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| base_success | 207 | 0.2754 | [0.2174, 0.3382] | 0.2270 | 0.3085 |
+| base_utility | 207 | 0.7181 | [0.6102, 0.8321] | 0.6704 | 0.8164 |
+| branch_car_at_8 | 207 | 0.3501 | [0.2639, 0.4417] | 0.4517 | 0.4280 |
+| hidden_chart_oracle_success_at_8 | 207 | 0.6667 | [0.5990, 0.7246] | 0.8647 | 0.8358 |
+| hidden_chart_oracle_utility_at_8 | 207 | 1.4000 | [1.2800, 1.5063] | 1.7565 | 1.7062 |
+| outcome_ptr_at_8 | 207 | 0.5024 | [0.4300, 0.5652] | 0.6401 | 0.5357 |
+| pairwise_causal_calibration_ece | 207 | 0.2110 | [0.1939, 0.2290] | 0.2036 | 0.2090 |
+| proposal_oracle_success_at_8 | 207 | 0.3816 | [0.3188, 0.4444] | 0.3893 | 0.4792 |
+| proposal_oracle_success_gain_over_base_at_8 | 207 | 0.1063 | [0.0386, 0.1836] | 0.1623 | 0.1707 |
+| proposal_oracle_utility_at_8 | 207 | 0.8807 | [0.7637, 0.9970] | 0.9934 | 1.1007 |
+| proposal_oracle_utility_gain_over_base_at_8 | 207 | 0.1626 | [0.0470, 0.2899] | 0.3230 | 0.2843 |
+| selected_success_at_8 | 207 | 0.2029 | [0.1498, 0.2560] | 0.1817 | 0.2565 |
+| selected_success_gain_over_base_at_8 | 207 | -0.0725 | [-0.1353, -0.0048] | -0.0453 | -0.0520 |
+| selected_utility_at_8 | 207 | 0.5307 | [0.4294, 0.6390] | 0.5417 | 0.6727 |
+| selected_utility_gain_over_base_at_8 | 207 | -0.1874 | [-0.2967, -0.0708] | -0.1287 | -0.1437 |
+| selector_regret_at_8 | 207 | 0.3501 | [0.2639, 0.4417] | 0.4517 | 0.4280 |
+| success_selector_gap_at_8 | 207 | 0.1787 | [0.1256, 0.2367] | 0.2076 | 0.2227 |
+| success_support_gap_at_8 | 207 | 0.2947 | [0.2319, 0.3623] | 0.4793 | 0.3602 |
+| success_total_car_to_hidden_at_8 | 207 | 0.4638 | [0.3961, 0.5314] | 0.6830 | 0.5793 |
+| support_gap_at_8 | 207 | 0.5369 | [0.4377, 0.6440] | 0.7703 | 0.6120 |
+| total_car_to_hidden_at_8 | 207 | 0.8693 | [0.7555, 0.9812] | 1.2147 | 1.0335 |

runs/ctt_base_context_obj_val_rollout_comparison/measured_metrics/table.tex

@@ -0,0 +1,28 @@
+% Auto-generated by scripts/eval_metrics.py
+\begin{tabular}{lrrrr}
+\toprule
+Metric & N & Micro mean & CI low & CI high \\
+\midrule
+base\_success & 207 & 0.2754 & 0.2174 & 0.3382 \\
+base\_utility & 207 & 0.7181 & 0.6102 & 0.8321 \\
+branch\_car\_at\_8 & 207 & 0.3501 & 0.2639 & 0.4417 \\
+hidden\_chart\_oracle\_success\_at\_8 & 207 & 0.6667 & 0.5990 & 0.7246 \\
+hidden\_chart\_oracle\_utility\_at\_8 & 207 & 1.4000 & 1.2800 & 1.5063 \\
+outcome\_ptr\_at\_8 & 207 & 0.5024 & 0.4300 & 0.5652 \\
+pairwise\_causal\_calibration\_ece & 207 & 0.2110 & 0.1939 & 0.2290 \\
+proposal\_oracle\_success\_at\_8 & 207 & 0.3816 & 0.3188 & 0.4444 \\
+proposal\_oracle\_success\_gain\_over\_base\_at\_8 & 207 & 0.1063 & 0.0386 & 0.1836 \\
+proposal\_oracle\_utility\_at\_8 & 207 & 0.8807 & 0.7637 & 0.9970 \\
+proposal\_oracle\_utility\_gain\_over\_base\_at\_8 & 207 & 0.1626 & 0.0470 & 0.2899 \\
+selected\_success\_at\_8 & 207 & 0.2029 & 0.1498 & 0.2560 \\
+selected\_success\_gain\_over\_base\_at\_8 & 207 & -0.0725 & -0.1353 & -0.0048 \\
+selected\_utility\_at\_8 & 207 & 0.5307 & 0.4294 & 0.6390 \\
+selected\_utility\_gain\_over\_base\_at\_8 & 207 & -0.1874 & -0.2967 & -0.0708 \\
+selector\_regret\_at\_8 & 207 & 0.3501 & 0.2639 & 0.4417 \\
+success\_selector\_gap\_at\_8 & 207 & 0.1787 & 0.1256 & 0.2367 \\
+success\_support\_gap\_at\_8 & 207 & 0.2947 & 0.2319 & 0.3623 \\
+success\_total\_car\_to\_hidden\_at\_8 & 207 & 0.4638 & 0.3961 & 0.5314 \\
+support\_gap\_at\_8 & 207 & 0.5369 & 0.4377 & 0.6440 \\
+total\_car\_to\_hidden\_at\_8 & 207 & 0.8693 & 0.7555 & 0.9812 \\
+\bottomrule
+\end{tabular}

runs/ctt_base_context_obj_val_rollout_comparison/metrics_by_task.json

@@ -0,0 +1,117 @@
+{
+  "LiftPegUpright-v1": {
+    "base_success": 0.3333333333333333,
+    "base_utility": 1.0669441471497219,
+    "branch_car_at_8": 0.5397342965006828,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5555555555555556,
+    "pairwise_causal_calibration_ece": 0.2123556134611932,
+    "proposal_oracle_success_at_8": 0.5555555555555556,
+    "proposal_oracle_success_gain_over_base_at_8": 0.2222222222222222,
+    "proposal_oracle_utility_at_8": 1.3934579665462177,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.3265138193964958,
+    "selected_success_at_8": 0.16666666666666666,
+    "selected_success_gain_over_base_at_8": -0.16666666666666666,
+    "selected_utility_at_8": 0.8537236700455347,
+    "selected_utility_gain_over_base_at_8": -0.213220477104187,
+    "selector_regret_at_8": 0.5397342965006828,
+    "success_selector_gap_at_8": 0.3888888888888889,
+    "success_support_gap_at_8": 0.4444444444444444,
+    "success_total_car_to_hidden_at_8": 0.8333333333333334,
+    "support_gap_at_8": 0.6065420334537824,
+    "total_car_to_hidden_at_8": 1.1462763299544652
+  },
+  "PickCube-v1": {
+    "base_success": 0.0,
+    "base_utility": 0.15342965722084045,
+    "branch_car_at_8": 0.4133657068014145,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.17471460699627128,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.46705442667007446,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.313624769449234,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.05368871986865997,
+    "selected_utility_gain_over_base_at_8": -0.09974093735218048,
+    "selector_regret_at_8": 0.4133657068014145,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.5329455733299255,
+    "total_car_to_hidden_at_8": 1.94631128013134
+  },
+  "PullCube-v1": {
+    "base_success": 0.29411764705882354,
+    "base_utility": 0.6512394689215237,
+    "branch_car_at_8": 0.1168446104449115,
+    "hidden_chart_oracle_success_at_8": 0.3235294117647059,
+    "hidden_chart_oracle_utility_at_8": 0.7823218367993832,
+    "outcome_ptr_at_8": 0.3627450980392157,
+    "pairwise_causal_calibration_ece": 0.21225649007113187,
+    "proposal_oracle_success_at_8": 0.19607843137254902,
+    "proposal_oracle_success_gain_over_base_at_8": -0.09803921568627451,
+    "proposal_oracle_utility_at_8": 0.44994396614321674,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.20129550277830704,
+    "selected_success_at_8": 0.14705882352941177,
+    "selected_success_gain_over_base_at_8": -0.14705882352941177,
+    "selected_utility_at_8": 0.33309935569830523,
+    "selected_utility_gain_over_base_at_8": -0.31814011322321856,
+    "selector_regret_at_8": 0.1168446104449115,
+    "success_selector_gap_at_8": 0.049019607843137254,
+    "success_support_gap_at_8": 0.14705882352941177,
+    "success_total_car_to_hidden_at_8": 0.17647058823529413,
+    "support_gap_at_8": 0.36822861206361696,
+    "total_car_to_hidden_at_8": 0.44922248110107793
+  },
+  "PushCube-v1": {
+    "base_success": 0.3076923076923077,
+    "base_utility": 0.6771644606040075,
+    "branch_car_at_8": 0.6477842434094503,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.6153846153846154,
+    "pairwise_causal_calibration_ece": 0.19356765816347193,
+    "proposal_oracle_success_at_8": 0.7948717948717948,
+    "proposal_oracle_success_gain_over_base_at_8": 0.48717948717948717,
+    "proposal_oracle_utility_at_8": 1.6016510277986526,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.9244865671946452,
+    "selected_success_at_8": 0.46153846153846156,
+    "selected_success_gain_over_base_at_8": 0.15384615384615385,
+    "selected_utility_at_8": 0.9538667843892024,
+    "selected_utility_gain_over_base_at_8": 0.276702323785195,
+    "selector_regret_at_8": 0.6477842434094503,
+    "success_selector_gap_at_8": 0.3333333333333333,
+    "success_support_gap_at_8": 0.20512820512820512,
+    "success_total_car_to_hidden_at_8": 0.5384615384615384,
+    "support_gap_at_8": 0.39834897220134735,
+    "total_car_to_hidden_at_8": 1.0461332156107976
+  },
+  "StackCube-v1": {
+    "base_success": 0.2,
+    "base_utility": 0.8031105498472849,
+    "branch_car_at_8": 0.5405315528313319,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.6666666666666666,
+    "pairwise_causal_calibration_ece": 0.2253301008861889,
+    "proposal_oracle_success_at_8": 0.4,
+    "proposal_oracle_success_gain_over_base_at_8": 0.2,
+    "proposal_oracle_utility_at_8": 1.054750414358245,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.25163986451096004,
+    "selected_success_at_8": 0.13333333333333333,
+    "selected_success_gain_over_base_at_8": -0.06666666666666667,
+    "selected_utility_at_8": 0.5142188615269131,
+    "selected_utility_gain_over_base_at_8": -0.2888916883203718,
+    "selector_regret_at_8": 0.5405315528313319,
+    "success_selector_gap_at_8": 0.26666666666666666,
+    "success_support_gap_at_8": 0.6,
+    "success_total_car_to_hidden_at_8": 0.8666666666666667,
+    "support_gap_at_8": 0.945249585641755,
+    "total_car_to_hidden_at_8": 1.4857811384730868
+  }
+}

runs/ctt_base_context_obj_val_rollout_comparison/report.md

@@ -0,0 +1,51 @@
+# CTT Validation Measured Rollout Comparison
+
+Runs: `3`
+Rows: `207`
+K: `8`
+
+| Metric | N | Micro mean | 95% CI |
+| --- | ---: | ---: | ---: |
+| base_success | 207 | 0.2754 | [0.2174, 0.3382] |
+| base_utility | 207 | 0.7181 | [0.6102, 0.8321] |
+| branch_car_at_8 | 207 | 0.3501 | [0.2639, 0.4417] |
+| hidden_chart_oracle_success_at_8 | 207 | 0.6667 | [0.5990, 0.7246] |
+| hidden_chart_oracle_utility_at_8 | 207 | 1.4000 | [1.2800, 1.5063] |
+| outcome_ptr_at_8 | 207 | 0.5024 | [0.4300, 0.5652] |
+| pairwise_causal_calibration_ece | 207 | 0.2110 | [0.1939, 0.2290] |
+| proposal_oracle_success_at_8 | 207 | 0.3816 | [0.3188, 0.4444] |
+| proposal_oracle_success_gain_over_base_at_8 | 207 | 0.1063 | [0.0386, 0.1836] |
+| proposal_oracle_utility_at_8 | 207 | 0.8807 | [0.7637, 0.9970] |
+| proposal_oracle_utility_gain_over_base_at_8 | 207 | 0.1626 | [0.0470, 0.2899] |
+| selected_success_at_8 | 207 | 0.2029 | [0.1498, 0.2560] |
+| selected_success_gain_over_base_at_8 | 207 | -0.0725 | [-0.1353, -0.0048] |
+| selected_utility_at_8 | 207 | 0.5307 | [0.4294, 0.6390] |
+| selected_utility_gain_over_base_at_8 | 207 | -0.1874 | [-0.2967, -0.0708] |
+| selector_regret_at_8 | 207 | 0.3501 | [0.2639, 0.4417] |
+| success_selector_gap_at_8 | 207 | 0.1787 | [0.1256, 0.2367] |
+| success_support_gap_at_8 | 207 | 0.2947 | [0.2319, 0.3623] |
+| success_total_car_to_hidden_at_8 | 207 | 0.4638 | [0.3961, 0.5314] |
+| support_gap_at_8 | 207 | 0.5369 | [0.4377, 0.6440] |
+| total_car_to_hidden_at_8 | 207 | 0.8693 | [0.7555, 0.9812] |
+
+| Success/Utility | Mean |
+| --- | ---: |
+| base_success_rate | 0.2754 |
+| selected_success_rate | 0.2029 |
+| proposal_oracle_success_rate | 0.3816 |
+| hidden_chart_oracle_success_rate | 0.6667 |
+| selected_success_gain_over_base | -0.0725 |
+| proposal_oracle_success_gain_over_base | 0.1063 |
+| success_support_gap | 0.2947 |
+| success_selector_gap | 0.1787 |
+| base_utility_mean | 0.7181 |
+| selected_utility_mean | 0.5307 |
+| proposal_oracle_utility_mean | 0.8807 |
+| hidden_chart_oracle_utility_mean | 1.4000 |
+
+These are measured generated-candidate rollouts, not PPTC proxies.
+
+Run dirs:
+- `runs/ctt_residual_base_context_obj_rollout_val69_seed0`
+- `runs/ctt_residual_base_context_obj_rollout_val69_seed1`
+- `runs/ctt_residual_base_context_obj_rollout_val69_seed2`

runs/ctt_base_context_obj_val_rollout_comparison/source_data_hash.txt

@@ -0,0 +1 @@
+67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42

runs/ctt_base_context_obj_val_rollout_comparison/split_hash.txt

@@ -0,0 +1 @@
+9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381

runs/ctt_base_context_obj_val_rollout_comparison/table.tex

@@ -0,0 +1,28 @@
+% Auto-generated by scripts/eval_metrics.py
+\begin{tabular}{lrrrr}
+\toprule
+Metric & N & Micro mean & CI low & CI high \\
+\midrule
+base\_success & 207 & 0.2754 & 0.2174 & 0.3382 \\
+base\_utility & 207 & 0.7181 & 0.6102 & 0.8321 \\
+branch\_car\_at\_8 & 207 & 0.3501 & 0.2639 & 0.4417 \\
+hidden\_chart\_oracle\_success\_at\_8 & 207 & 0.6667 & 0.5990 & 0.7246 \\
+hidden\_chart\_oracle\_utility\_at\_8 & 207 & 1.4000 & 1.2800 & 1.5063 \\
+outcome\_ptr\_at\_8 & 207 & 0.5024 & 0.4300 & 0.5652 \\
+pairwise\_causal\_calibration\_ece & 207 & 0.2110 & 0.1939 & 0.2290 \\
+proposal\_oracle\_success\_at\_8 & 207 & 0.3816 & 0.3188 & 0.4444 \\
+proposal\_oracle\_success\_gain\_over\_base\_at\_8 & 207 & 0.1063 & 0.0386 & 0.1836 \\
+proposal\_oracle\_utility\_at\_8 & 207 & 0.8807 & 0.7637 & 0.9970 \\
+proposal\_oracle\_utility\_gain\_over\_base\_at\_8 & 207 & 0.1626 & 0.0470 & 0.2899 \\
+selected\_success\_at\_8 & 207 & 0.2029 & 0.1498 & 0.2560 \\
+selected\_success\_gain\_over\_base\_at\_8 & 207 & -0.0725 & -0.1353 & -0.0048 \\
+selected\_utility\_at\_8 & 207 & 0.5307 & 0.4294 & 0.6390 \\
+selected\_utility\_gain\_over\_base\_at\_8 & 207 & -0.1874 & -0.2967 & -0.0708 \\
+selector\_regret\_at\_8 & 207 & 0.3501 & 0.2639 & 0.4417 \\
+success\_selector\_gap\_at\_8 & 207 & 0.1787 & 0.1256 & 0.2367 \\
+success\_support\_gap\_at\_8 & 207 & 0.2947 & 0.2319 & 0.3623 \\
+success\_total\_car\_to\_hidden\_at\_8 & 207 & 0.4638 & 0.3961 & 0.5314 \\
+support\_gap\_at\_8 & 207 & 0.5369 & 0.4377 & 0.6440 \\
+total\_car\_to\_hidden\_at\_8 & 207 & 0.8693 & 0.7555 & 0.9812 \\
+\bottomrule
+\end{tabular}

runs/ctt_base_context_obj_val_rollout_comparison/train.log

@@ -0,0 +1 @@
+comparison artifact; source runs trained/evaluated separately

runs/ctt_residual_base_context_obj_rollout_val69_seed0/command.txt

@@ -0,0 +1 @@
+python scripts/eval_ctt_generated_rollout.py --checkpoint runs/ctt_residual_base_context_obj_seed0/model.pt --source-index data/cil_charts_rgb_refs/train/index.json --target-index data/cil_charts_rgb_refs/val/index.json --out-dir runs/ctt_residual_base_context_obj_rollout_val69_seed0 --k 8 --pool-size 0 --neighbors 8 --max-target-charts 69 --group-batch-size 1 --device cpu --sim-backend physx_cpu --render-backend cpu --restore-tolerance 1e-5 --delta-scale 1.0 --bootstrap-samples 200

runs/ctt_residual_base_context_obj_rollout_val69_seed0/config.yaml

@@ -0,0 +1,18 @@
+bootstrap_samples: 200
+checkpoint: runs/ctt_residual_base_context_obj_seed0/model.pt
+delta_scale: 1.0
+device: cpu
+exclude_self_source: False
+group_batch_size: 1
+include_targets_without_positives: False
+k: 8
+max_target_charts: 69
+neighbors: 8
+out_dir: runs/ctt_residual_base_context_obj_rollout_val69_seed0
+pool_size: 0
+render_backend: cpu
+restore_tolerance: 1e-05
+sim_backend: physx_cpu
+skip_metrics: False
+source_index: data/cil_charts_rgb_refs/train/index.json
+target_index: data/cil_charts_rgb_refs/val/index.json

runs/ctt_residual_base_context_obj_rollout_val69_seed0/data_hash.txt

@@ -0,0 +1 @@
+1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708

runs/ctt_residual_base_context_obj_rollout_val69_seed0/eval.log

@@ -0,0 +1,766 @@
+start
+importing gymnasium/mani_skill
+imported gymnasium/mani_skill
+loaded checkpoint=runs/ctt_residual_base_context_obj_seed0/model.pt
+loaded charts source=301 target=69
+generated proposals rows=69 total=552
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=PickCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PickCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+rollout complete rows=69

runs/ctt_residual_base_context_obj_rollout_val69_seed0/git_hash.txt

@@ -0,0 +1 @@
+

runs/ctt_residual_base_context_obj_rollout_val69_seed0/measured_metrics/metrics_by_seed.json

@@ -0,0 +1,1083 @@
+{
+  "1025740212": {
+    "base_success": 0.0,
+    "base_utility": 0.528373658657074,
+    "branch_car_at_8": 1.281606376171112,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.20050368294022264,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.471626341342926,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.7183936238288879,
+    "selected_utility_gain_over_base_at_8": 0.19001996517181396,
+    "selector_regret_at_8": 1.281606376171112,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.281606376171112
+  },
+  "1055157354": {
+    "base_success": 0.0,
+    "base_utility": 0.19648407399654388,
+    "branch_car_at_8": 0.4498589485883713,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.43030250381223584,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5705926418304443,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.37410856783390045,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.12073369324207306,
+    "selected_utility_gain_over_base_at_8": -0.07575038075447083,
+    "selector_regret_at_8": 0.4498589485883713,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.4294073581695557,
+    "total_car_to_hidden_at_8": 1.879266306757927
+  },
+  "1055567618": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 1.828233242034912,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.30857397468613657,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.1717667579650879,
+    "selected_utility_gain_over_base_at_8": -1.828233242034912,
+    "selector_regret_at_8": 1.828233242034912,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.828233242034912
+  },
+  "1113268940": {
+    "base_success": 0.0,
+    "base_utility": 0.42231252789497375,
+    "branch_car_at_8": 0.11861386895179749,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3774241061869338,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5588552355766296,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.13654270768165588,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.44024136662483215,
+    "selected_utility_gain_over_base_at_8": 0.0179288387298584,
+    "selector_regret_at_8": 0.11861386895179749,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.4411447644233704,
+    "total_car_to_hidden_at_8": 1.5597586333751678
+  },
+  "1113371261": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.026017268580811406,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1176943004": {
+    "base_success": 0.0,
+    "base_utility": 0.15461373329162598,
+    "branch_car_at_8": 1.9300042241811752,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1246594058194818,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.845386266708374,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.06999577581882477,
+    "selected_utility_gain_over_base_at_8": -0.08461795747280121,
+    "selector_regret_at_8": 1.9300042241811752,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.9300042241811752
+  },
+  "1189392917": {
+    "base_success": 0.0,
+    "base_utility": 0.10841864347457886,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1340247769860469,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.8915813565254211,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 1.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 1.8915813565254211,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1231780997": {
+    "base_success": 0.0,
+    "base_utility": 0.7270061373710632,
+    "branch_car_at_8": 1.2770342230796814,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.19966589920839098,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.2729938626289368,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.7229657769203186,
+    "selected_utility_gain_over_base_at_8": -0.004040360450744629,
+    "selector_regret_at_8": 1.2770342230796814,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.2770342230796814
+  },
+  "1271718007": {
+    "base_success": 0.5,
+    "base_utility": 1.415381133556366,
+    "branch_car_at_8": 0.9082518517971039,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5,
+    "pairwise_causal_calibration_ece": 0.17939225581112472,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.5,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.584618866443634,
+    "selected_success_at_8": 0.5,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 1.0917481482028961,
+    "selected_utility_gain_over_base_at_8": -0.32363298535346985,
+    "selector_regret_at_8": 0.9082518517971039,
+    "success_selector_gap_at_8": 0.5,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.5,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.9082518517971039
+  },
+  "1273247072": {
+    "base_success": 0.0,
+    "base_utility": 0.15342965722084045,
+    "branch_car_at_8": 0.42020074278116226,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.16962492308566807,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.4659159183502197,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.3124862611293793,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.045715175569057465,
+    "selected_utility_gain_over_base_at_8": -0.10771448165178299,
+    "selector_regret_at_8": 0.42020074278116226,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.5340840816497803,
+    "total_car_to_hidden_at_8": 1.9542848244309425
+  },
+  "1358421325": {
+    "base_success": 0.0,
+    "base_utility": 0.8272150158882141,
+    "branch_car_at_8": 0.6354914605617523,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.28863435648886215,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.8147144317626953,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.012500584125518799,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.179222971200943,
+    "selected_utility_gain_over_base_at_8": -0.6479920446872711,
+    "selector_regret_at_8": 0.6354914605617523,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.1852855682373047,
+    "total_car_to_hidden_at_8": 1.820777028799057
+  },
+  "1375492786": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0008215903653763235,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.24345096945762634,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0996910344508803,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.0015756288776174188,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.9984243711223826,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.0007540385122410953,
+    "selected_utility_gain_over_base_at_8": -1.999245961487759,
+    "selector_regret_at_8": 0.0008215903653763235,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.24187534058000892,
+    "total_car_to_hidden_at_8": 0.24269693094538525
+  },
+  "141984615": {
+    "base_success": 0.0,
+    "base_utility": 0.09381213908394177,
+    "branch_car_at_8": 0.05737591476645321,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.20044784247875214,
+    "outcome_ptr_at_8": 0.3333333333333333,
+    "pairwise_causal_calibration_ece": 0.297780428420543,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.06459133536554873,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.029220803718393046,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.007215420599095523,
+    "selected_utility_gain_over_base_at_8": -0.08659671848484625,
+    "selector_regret_at_8": 0.05737591476645321,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.1358565071132034,
+    "total_car_to_hidden_at_8": 0.1932324218796566
+  },
+  "1475440973": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 1.2853952050209045,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.41171052461838353,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.7146047949790955,
+    "selected_utility_gain_over_base_at_8": -1.2853952050209045,
+    "selector_regret_at_8": 1.2853952050209045,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.2853952050209045
+  },
+  "1483645336": {
+    "base_success": 0.0,
+    "base_utility": 0.01641605794429779,
+    "branch_car_at_8": 1.8899840712547302,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.35034389349653194,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.9835839420557022,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.11001592874526978,
+    "selected_utility_gain_over_base_at_8": 0.09359987080097198,
+    "selector_regret_at_8": 1.8899840712547302,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.8899840712547302
+  },
+  "1522272686": {
+    "base_success": 0.0,
+    "base_utility": 0.19844311475753784,
+    "branch_car_at_8": 0.030991941690444946,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.31643520896589616,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.21208032965660095,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.01363721489906311,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.181088387966156,
+    "selected_utility_gain_over_base_at_8": -0.017354726791381836,
+    "selector_regret_at_8": 0.030991941690444946,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.787919670343399,
+    "total_car_to_hidden_at_8": 1.818911612033844
+  },
+  "1528740417": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.15436827657008492,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1549324805": {
+    "base_success": 0.6666666666666666,
+    "base_utility": 1.3787474483251572,
+    "branch_car_at_8": 0.0010904477288325627,
+    "hidden_chart_oracle_success_at_8": 0.6666666666666666,
+    "hidden_chart_oracle_utility_at_8": 1.4027505218982697,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.23727288575803293,
+    "proposal_oracle_success_at_8": 0.6666666666666666,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 1.344537331412236,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.03421011691292127,
+    "selected_success_at_8": 0.6666666666666666,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 1.3434468836834033,
+    "selected_utility_gain_over_base_at_8": -0.03530056464175383,
+    "selector_regret_at_8": 0.0010904477288325627,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.05821319048603376,
+    "total_car_to_hidden_at_8": 0.05930363821486632
+  },
+  "1607773860": {
+    "base_success": 0.0,
+    "base_utility": 0.8326728343963623,
+    "branch_car_at_8": 1.8556141257286072,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3951037237909243,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.1673271656036377,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.14438587427139282,
+    "selected_utility_gain_over_base_at_8": -0.6882869601249695,
+    "selector_regret_at_8": 1.8556141257286072,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.8556141257286072
+  },
+  "1665739511": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1747178030": {
+    "base_success": 0.0,
+    "base_utility": 0.14663122594356537,
+    "branch_car_at_8": 0.02001962810754776,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.11661420436902857,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.1273784190416336,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.019252806901931763,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.10735879093408585,
+    "selected_utility_gain_over_base_at_8": -0.03927243500947952,
+    "selector_regret_at_8": 0.02001962810754776,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.8726215809583664,
+    "total_car_to_hidden_at_8": 1.8926412090659142
+  },
+  "1881223807": {
+    "base_success": 0.0,
+    "base_utility": 0.0320269912481308,
+    "branch_car_at_8": 0.002386912703514099,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.20266639463366093,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.027498364448547363,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.004528626799583435,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.025111451745033264,
+    "selected_utility_gain_over_base_at_8": -0.006915539503097534,
+    "selector_regret_at_8": 0.002386912703514099,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.9725016355514526,
+    "total_car_to_hidden_at_8": 1.9748885482549667
+  },
+  "1919198188": {
+    "base_success": 0.0,
+    "base_utility": 0.03719887137413025,
+    "branch_car_at_8": 0.021911710500717163,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.09083822075370537,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.09917314350605011,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.06197427213191986,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.07726143300533295,
+    "selected_utility_gain_over_base_at_8": 0.0400625616312027,
+    "selector_regret_at_8": 0.021911710500717163,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.90082685649395,
+    "total_car_to_hidden_at_8": 1.922738566994667
+  },
+  "1991414747": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.017522692680358887,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.09717880195623664,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.13679209351539612,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.8632079064846039,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.11926940083503723,
+    "selected_utility_gain_over_base_at_8": -1.8807305991649628,
+    "selector_regret_at_8": 0.017522692680358887,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.8632079064846039,
+    "total_car_to_hidden_at_8": 1.8807305991649628
+  },
+  "1997090716": {
+    "base_success": 0.0,
+    "base_utility": 0.13927479088306427,
+    "branch_car_at_8": 1.9452667087316513,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3641822422309461,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.8607252091169357,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.054733291268348694,
+    "selected_utility_gain_over_base_at_8": -0.08454149961471558,
+    "selector_regret_at_8": 1.9452667087316513,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.9452667087316513
+  },
+  "2015956957": {
+    "base_success": 0.0,
+    "base_utility": 0.06711978986859321,
+    "branch_car_at_8": 0.39167013615369795,
+    "hidden_chart_oracle_success_at_8": 0.2,
+    "hidden_chart_oracle_utility_at_8": 0.5298813670873642,
+    "outcome_ptr_at_8": 0.8,
+    "pairwise_causal_calibration_ece": 0.22628515797280127,
+    "proposal_oracle_success_at_8": 0.2,
+    "proposal_oracle_success_gain_over_base_at_8": 0.2,
+    "proposal_oracle_utility_at_8": 0.46120103299617765,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.39408124312758447,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.0695308968424797,
+    "selected_utility_gain_over_base_at_8": 0.0024111069738864898,
+    "selector_regret_at_8": 0.39167013615369795,
+    "success_selector_gap_at_8": 0.2,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.2,
+    "support_gap_at_8": 0.06868033409118653,
+    "total_car_to_hidden_at_8": 0.4603504702448845
+  },
+  "2054899126": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "211245842": {
+    "base_success": 0.0,
+    "base_utility": 0.8388344049453735,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.14834095177221712,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.8135772347450256,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.0252571702003479,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.8135772347450256,
+    "selected_utility_gain_over_base_at_8": -0.0252571702003479,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.1864227652549744,
+    "total_car_to_hidden_at_8": 1.1864227652549744
+  },
+  "2141802816": {
+    "base_success": 0.0,
+    "base_utility": 0.07080724835395813,
+    "branch_car_at_8": 0.008425161242485046,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.07518554002658885,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.08595690131187439,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.01514965295791626,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.07753174006938934,
+    "selected_utility_gain_over_base_at_8": 0.006724491715431213,
+    "selector_regret_at_8": 0.008425161242485046,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.9140430986881256,
+    "total_car_to_hidden_at_8": 1.9224682599306107
+  },
+  "256770874": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.44993481040000916,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.18757436508611464,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.574478030204773,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.425521969795227,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.1245432198047638,
+    "selected_utility_gain_over_base_at_8": -1.8754567801952362,
+    "selector_regret_at_8": 0.44993481040000916,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.425521969795227,
+    "total_car_to_hidden_at_8": 1.8754567801952362
+  },
+  "278008524": {
+    "base_success": 0.0,
+    "base_utility": 0.10747186839580536,
+    "branch_car_at_8": 0.0008676897268742323,
+    "hidden_chart_oracle_success_at_8": 0.5,
+    "hidden_chart_oracle_utility_at_8": 1.113811194896698,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.10616076660738837,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.013509750366210938,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.09396211802959442,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.012642060639336705,
+    "selected_utility_gain_over_base_at_8": -0.09482980775646865,
+    "selector_regret_at_8": 0.0008676897268742323,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.5,
+    "success_total_car_to_hidden_at_8": 0.5,
+    "support_gap_at_8": 1.100301444530487,
+    "total_car_to_hidden_at_8": 1.1011691342573613
+  },
+  "416183106": {
+    "base_success": 0.0,
+    "base_utility": 0.20032641291618347,
+    "branch_car_at_8": 0.3453921228647232,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1517874168346938,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.581784188747406,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.38145777583122253,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.2363920658826828,
+    "selected_utility_gain_over_base_at_8": 0.03606565296649933,
+    "selector_regret_at_8": 0.3453921228647232,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.418215811252594,
+    "total_car_to_hidden_at_8": 1.7636079341173172
+  },
+  "534717141": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.18033001516380143,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "551504635": {
+    "base_success": 0.0,
+    "base_utility": 0.7239725589752197,
+    "branch_car_at_8": 1.2800043225288391,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3791036296516339,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.2760274410247803,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.7199956774711609,
+    "selected_utility_gain_over_base_at_8": -0.003976881504058838,
+    "selector_regret_at_8": 1.2800043225288391,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.2800043225288391
+  },
+  "565369392": {
+    "base_success": 0.3333333333333333,
+    "base_utility": 0.7997656464576721,
+    "branch_car_at_8": 0.05178981522719065,
+    "hidden_chart_oracle_success_at_8": 0.6666666666666666,
+    "hidden_chart_oracle_utility_at_8": 1.4266315797964733,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.21578265463075008,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -0.3333333333333333,
+    "proposal_oracle_utility_at_8": 0.14469666282335916,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.655068983634313,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -0.3333333333333333,
+    "selected_utility_at_8": 0.09290684759616852,
+    "selected_utility_gain_over_base_at_8": -0.7068587988615036,
+    "selector_regret_at_8": 0.05178981522719065,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.6666666666666666,
+    "success_total_car_to_hidden_at_8": 0.6666666666666666,
+    "support_gap_at_8": 1.281934916973114,
+    "total_car_to_hidden_at_8": 1.3337247322003047
+  },
+  "565621826": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "585904130": {
+    "base_success": 0.0,
+    "base_utility": 0.07529209802548091,
+    "branch_car_at_8": 0.01741097339739402,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.23764699200789133,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.3300621116998719,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.034002700820565224,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.04128939720491568,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.016591727423171203,
+    "selected_utility_gain_over_base_at_8": -0.058700370602309704,
+    "selector_regret_at_8": 0.01741097339739402,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.2036442911873261,
+    "total_car_to_hidden_at_8": 0.22105526458472013
+  },
+  "626486813": {
+    "base_success": 0.25,
+    "base_utility": 0.5054400166263804,
+    "branch_car_at_8": 0.033813119400292635,
+    "hidden_chart_oracle_success_at_8": 0.25,
+    "hidden_chart_oracle_utility_at_8": 0.6124684102833271,
+    "outcome_ptr_at_8": 0.75,
+    "pairwise_causal_calibration_ece": 0.24681469768825515,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -0.25,
+    "proposal_oracle_utility_at_8": 0.07908930000849068,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.4263507166178897,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -0.25,
+    "selected_utility_at_8": 0.04527618060819805,
+    "selected_utility_gain_over_base_at_8": -0.46016383601818234,
+    "selector_regret_at_8": 0.033813119400292635,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.25,
+    "success_total_car_to_hidden_at_8": 0.25,
+    "support_gap_at_8": 0.544636546401307,
+    "total_car_to_hidden_at_8": 0.5671922296751291
+  },
+  "636680137": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0048203859478235245,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.19331728269593437,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.024462858214974403,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.9755371417850256,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.01964247226715088,
+    "selected_utility_gain_over_base_at_8": -1.9803575277328491,
+    "selector_regret_at_8": 0.0048203859478235245,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.9755371417850256,
+    "total_car_to_hidden_at_8": 1.9803575277328491
+  },
+  "706479600": {
+    "base_success": 0.0,
+    "base_utility": 0.8350887894630432,
+    "branch_car_at_8": 0.1455947458744049,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.2692917587355154,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.21975377202033997,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.6153350174427032,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.07415902614593506,
+    "selected_utility_gain_over_base_at_8": -0.7609297633171082,
+    "selector_regret_at_8": 0.1455947458744049,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.78024622797966,
+    "total_car_to_hidden_at_8": 1.925840973854065
+  },
+  "750448296": {
+    "base_success": 0.0,
+    "base_utility": 0.11153355985879898,
+    "branch_car_at_8": 0.015873273834586143,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.23580759018659592,
+    "outcome_ptr_at_8": 0.5,
+    "pairwise_causal_calibration_ece": 0.3795450047628438,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.109864491969347,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.0016690678894519806,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.09399121813476086,
+    "selected_utility_gain_over_base_at_8": -0.017542341724038124,
+    "selector_regret_at_8": 0.015873273834586143,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.12594309821724892,
+    "total_car_to_hidden_at_8": 0.14181637205183506
+  },
+  "75070641": {
+    "base_success": 0.0,
+    "base_utility": 0.20275163650512695,
+    "branch_car_at_8": 0.003223627805709839,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.13808834192306887,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.2283252328634262,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.025573596358299255,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.22510160505771637,
+    "selected_utility_gain_over_base_at_8": 0.022349968552589417,
+    "selector_regret_at_8": 0.003223627805709839,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.7716747671365738,
+    "total_car_to_hidden_at_8": 1.7748983949422836
+  },
+  "767747424": {
+    "base_success": 0.25,
+    "base_utility": 0.5475241877138615,
+    "branch_car_at_8": 0.5240038954652846,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.18863565661013126,
+    "outcome_ptr_at_8": 0.75,
+    "pairwise_causal_calibration_ece": 0.2798082148668758,
+    "proposal_oracle_success_at_8": 0.25,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5921752639114857,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.04465107619762421,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -0.25,
+    "selected_utility_at_8": 0.06817136844620109,
+    "selected_utility_gain_over_base_at_8": -0.4793528192676604,
+    "selector_regret_at_8": 0.5240038954652846,
+    "success_selector_gap_at_8": 0.25,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.04815509542822838,
+    "total_car_to_hidden_at_8": 0.12046428816393018
+  },
+  "77147264": {
+    "base_success": 0.5,
+    "base_utility": 1.4215794801712036,
+    "branch_car_at_8": 0.013380475342273712,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.22561784152146835,
+    "proposal_oracle_success_at_8": 0.5,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 1.1132144927978516,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.30836498737335205,
+    "selected_success_at_8": 0.5,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 1.0998340174555779,
+    "selected_utility_gain_over_base_at_8": -0.32174546271562576,
+    "selector_regret_at_8": 0.013380475342273712,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.5,
+    "success_total_car_to_hidden_at_8": 0.5,
+    "support_gap_at_8": 0.8867855072021484,
+    "total_car_to_hidden_at_8": 0.9001659825444221
+  },
+  "794181626": {
+    "base_success": 0.0,
+    "base_utility": 0.18095605075359344,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3405496231635778,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.8190439492464066,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 1.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 1.8190439492464066,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "957101489": {
+    "base_success": 0.0,
+    "base_utility": 0.20372186601161957,
+    "branch_car_at_8": 0.3607921451330185,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.2493251178612577,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5799027681350708,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.37618090212345123,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.2191106230020523,
+    "selected_utility_gain_over_base_at_8": 0.01538875699043274,
+    "selector_regret_at_8": 0.3607921451330185,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.4200972318649292,
+    "total_car_to_hidden_at_8": 1.7808893769979477
+  },
+  "998761162": {
+    "base_success": 0.0,
+    "base_utility": 0.06781657040119171,
+    "branch_car_at_8": 0.0010883957147598267,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1991858618764328,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.09276536107063293,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.024948790669441223,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.09167696535587311,
+    "selected_utility_gain_over_base_at_8": 0.023860394954681396,
+    "selector_regret_at_8": 0.0010883957147598267,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.907234638929367,
+    "total_car_to_hidden_at_8": 1.908323034644127
+  }
+}

runs/ctt_residual_base_context_obj_rollout_val69_seed0/measured_metrics/metrics_by_task.json

@@ -0,0 +1,117 @@
+{
+  "LiftPegUpright-v1": {
+    "base_success": 0.3333333333333333,
+    "base_utility": 1.0669441471497219,
+    "branch_car_at_8": 0.8737756659587225,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.6666666666666666,
+    "pairwise_causal_calibration_ece": 0.28712935319594163,
+    "proposal_oracle_success_at_8": 0.8333333333333334,
+    "proposal_oracle_success_gain_over_base_at_8": 0.5,
+    "proposal_oracle_utility_at_8": 1.7598092059294383,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.6928650587797165,
+    "selected_success_at_8": 0.16666666666666666,
+    "selected_success_gain_over_base_at_8": -0.16666666666666666,
+    "selected_utility_at_8": 0.8860335399707159,
+    "selected_utility_gain_over_base_at_8": -0.18091060717900595,
+    "selector_regret_at_8": 0.8737756659587225,
+    "success_selector_gap_at_8": 0.6666666666666666,
+    "success_support_gap_at_8": 0.16666666666666666,
+    "success_total_car_to_hidden_at_8": 0.8333333333333334,
+    "support_gap_at_8": 0.24019079407056174,
+    "total_car_to_hidden_at_8": 1.1139664600292842
+  },
+  "PickCube-v1": {
+    "base_success": 0.0,
+    "base_utility": 0.15342965722084045,
+    "branch_car_at_8": 0.42020074278116226,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.16962492308566807,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.4659159183502197,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.3124862611293793,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.045715175569057465,
+    "selected_utility_gain_over_base_at_8": -0.10771448165178299,
+    "selector_regret_at_8": 0.42020074278116226,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.5340840816497803,
+    "total_car_to_hidden_at_8": 1.9542848244309425
+  },
+  "PullCube-v1": {
+    "base_success": 0.29411764705882354,
+    "base_utility": 0.6512394689215237,
+    "branch_car_at_8": 0.13619081233799293,
+    "hidden_chart_oracle_success_at_8": 0.3235294117647059,
+    "hidden_chart_oracle_utility_at_8": 0.7823218367993832,
+    "outcome_ptr_at_8": 0.35294117647058826,
+    "pairwise_causal_calibration_ece": 0.23311818739476642,
+    "proposal_oracle_success_at_8": 0.20588235294117646,
+    "proposal_oracle_success_gain_over_base_at_8": -0.08823529411764706,
+    "proposal_oracle_utility_at_8": 0.47449842058053676,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.17674104834098697,
+    "selected_success_at_8": 0.14705882352941177,
+    "selected_success_gain_over_base_at_8": -0.14705882352941177,
+    "selected_utility_at_8": 0.33830760824254386,
+    "selected_utility_gain_over_base_at_8": -0.31293186067897993,
+    "selector_regret_at_8": 0.13619081233799293,
+    "success_selector_gap_at_8": 0.058823529411764705,
+    "success_support_gap_at_8": 0.14705882352941177,
+    "success_total_car_to_hidden_at_8": 0.17647058823529413,
+    "support_gap_at_8": 0.3622883737313232,
+    "total_car_to_hidden_at_8": 0.4440142285568393
+  },
+  "PushCube-v1": {
+    "base_success": 0.3076923076923077,
+    "base_utility": 0.6771644606040075,
+    "branch_car_at_8": 0.4458426363193072,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5384615384615384,
+    "pairwise_causal_calibration_ece": 0.15615009218311454,
+    "proposal_oracle_success_at_8": 0.6153846153846154,
+    "proposal_oracle_success_gain_over_base_at_8": 0.3076923076923077,
+    "proposal_oracle_utility_at_8": 1.2588291787184203,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.5816647181144128,
+    "selected_success_at_8": 0.38461538461538464,
+    "selected_success_gain_over_base_at_8": 0.07692307692307693,
+    "selected_utility_at_8": 0.8129865423991129,
+    "selected_utility_gain_over_base_at_8": 0.13582208179510558,
+    "selector_regret_at_8": 0.4458426363193072,
+    "success_selector_gap_at_8": 0.23076923076923078,
+    "success_support_gap_at_8": 0.38461538461538464,
+    "success_total_car_to_hidden_at_8": 0.6153846153846154,
+    "support_gap_at_8": 0.7411708212815799,
+    "total_car_to_hidden_at_8": 1.187013457600887
+  },
+  "StackCube-v1": {
+    "base_success": 0.2,
+    "base_utility": 0.8031105498472849,
+    "branch_car_at_8": 0.5313535690307617,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5333333333333333,
+    "pairwise_causal_calibration_ece": 0.25228774235838763,
+    "proposal_oracle_success_at_8": 0.26666666666666666,
+    "proposal_oracle_success_gain_over_base_at_8": 0.06666666666666667,
+    "proposal_oracle_utility_at_8": 0.8613873839378356,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.05827683409055074,
+    "selected_success_at_8": 0.06666666666666667,
+    "selected_success_gain_over_base_at_8": -0.13333333333333333,
+    "selected_utility_at_8": 0.33003381490707395,
+    "selected_utility_gain_over_base_at_8": -0.47307673494021096,
+    "selector_regret_at_8": 0.5313535690307617,
+    "success_selector_gap_at_8": 0.2,
+    "success_support_gap_at_8": 0.7333333333333333,
+    "success_total_car_to_hidden_at_8": 0.9333333333333333,
+    "support_gap_at_8": 1.1386126160621644,
+    "total_car_to_hidden_at_8": 1.669966185092926
+  }
+}

runs/ctt_residual_base_context_obj_rollout_val69_seed0/measured_metrics/report.md

@@ -0,0 +1,27 @@
+# Metric Evaluation (measured)
+
+K: `8`
+
+| Metric | N | Micro mean | 95% CI | Task macro | Seed macro |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| base_success | 69 | 0.2754 | [0.1884, 0.4058] | 0.2270 | 0.3085 |
+| base_utility | 69 | 0.7181 | [0.5449, 0.9239] | 0.6704 | 0.8164 |
+| branch_car_at_8 | 69 | 0.3487 | [0.1943, 0.4943] | 0.4815 | 0.4176 |
+| hidden_chart_oracle_success_at_8 | 69 | 0.6667 | [0.5507, 0.7826] | 0.8647 | 0.8358 |
+| hidden_chart_oracle_utility_at_8 | 69 | 1.4000 | [1.1926, 1.6081] | 1.7565 | 1.7062 |
+| outcome_ptr_at_8 | 69 | 0.4638 | [0.3478, 0.5797] | 0.6183 | 0.4816 |
+| pairwise_causal_calibration_ece | 69 | 0.2266 | [0.1956, 0.2556] | 0.2197 | 0.2148 |
+| proposal_oracle_success_at_8 | 69 | 0.3478 | [0.2174, 0.4928] | 0.3843 | 0.4174 |
+| proposal_oracle_success_gain_over_base_at_8 | 69 | 0.0725 | [-0.0725, 0.1739] | 0.1572 | 0.1089 |
+| proposal_oracle_utility_at_8 | 69 | 0.8180 | [0.5915, 1.0681] | 0.9641 | 0.9824 |
+| proposal_oracle_utility_gain_over_base_at_8 | 69 | 0.0999 | [-0.1436, 0.2862] | 0.2937 | 0.1660 |
+| selected_success_at_8 | 69 | 0.1739 | [0.1014, 0.2899] | 0.1530 | 0.2057 |
+| selected_success_gain_over_base_at_8 | 69 | -0.1014 | [-0.2174, -0.0290] | -0.0740 | -0.1028 |
+| selected_utility_at_8 | 69 | 0.4693 | [0.3037, 0.6778] | 0.4826 | 0.5648 |
+| selected_utility_gain_over_base_at_8 | 69 | -0.2487 | [-0.4637, -0.0852] | -0.1878 | -0.2515 |
+| selector_regret_at_8 | 69 | 0.3487 | [0.1943, 0.4943] | 0.4815 | 0.4176 |
+| success_selector_gap_at_8 | 69 | 0.1739 | [0.0870, 0.2754] | 0.2313 | 0.2117 |
+| success_support_gap_at_8 | 69 | 0.3333 | [0.2174, 0.4348] | 0.4863 | 0.4238 |
+| success_total_car_to_hidden_at_8 | 69 | 0.4928 | [0.3623, 0.6232] | 0.7117 | 0.6301 |
+| support_gap_at_8 | 69 | 0.6088 | [0.4128, 0.7915] | 0.8033 | 0.7337 |
+| total_car_to_hidden_at_8 | 69 | 0.9307 | [0.7182, 1.1327] | 1.2738 | 1.1414 |

runs/ctt_residual_base_context_obj_rollout_val69_seed0/measured_metrics/table.tex

@@ -0,0 +1,28 @@
+% Auto-generated by scripts/eval_metrics.py
+\begin{tabular}{lrrrr}
+\toprule
+Metric & N & Micro mean & CI low & CI high \\
+\midrule
+base\_success & 69 & 0.2754 & 0.1884 & 0.4058 \\
+base\_utility & 69 & 0.7181 & 0.5449 & 0.9239 \\
+branch\_car\_at\_8 & 69 & 0.3487 & 0.1943 & 0.4943 \\
+hidden\_chart\_oracle\_success\_at\_8 & 69 & 0.6667 & 0.5507 & 0.7826 \\
+hidden\_chart\_oracle\_utility\_at\_8 & 69 & 1.4000 & 1.1926 & 1.6081 \\
+outcome\_ptr\_at\_8 & 69 & 0.4638 & 0.3478 & 0.5797 \\
+pairwise\_causal\_calibration\_ece & 69 & 0.2266 & 0.1956 & 0.2556 \\
+proposal\_oracle\_success\_at\_8 & 69 & 0.3478 & 0.2174 & 0.4928 \\
+proposal\_oracle\_success\_gain\_over\_base\_at\_8 & 69 & 0.0725 & -0.0725 & 0.1739 \\
+proposal\_oracle\_utility\_at\_8 & 69 & 0.8180 & 0.5915 & 1.0681 \\
+proposal\_oracle\_utility\_gain\_over\_base\_at\_8 & 69 & 0.0999 & -0.1436 & 0.2862 \\
+selected\_success\_at\_8 & 69 & 0.1739 & 0.1014 & 0.2899 \\
+selected\_success\_gain\_over\_base\_at\_8 & 69 & -0.1014 & -0.2174 & -0.0290 \\
+selected\_utility\_at\_8 & 69 & 0.4693 & 0.3037 & 0.6778 \\
+selected\_utility\_gain\_over\_base\_at\_8 & 69 & -0.2487 & -0.4637 & -0.0852 \\
+selector\_regret\_at\_8 & 69 & 0.3487 & 0.1943 & 0.4943 \\
+success\_selector\_gap\_at\_8 & 69 & 0.1739 & 0.0870 & 0.2754 \\
+success\_support\_gap\_at\_8 & 69 & 0.3333 & 0.2174 & 0.4348 \\
+success\_total\_car\_to\_hidden\_at\_8 & 69 & 0.4928 & 0.3623 & 0.6232 \\
+support\_gap\_at\_8 & 69 & 0.6088 & 0.4128 & 0.7915 \\
+total\_car\_to\_hidden\_at\_8 & 69 & 0.9307 & 0.7182 & 1.1327 \\
+\bottomrule
+\end{tabular}

runs/ctt_residual_base_context_obj_rollout_val69_seed0/metrics.json

@@ -0,0 +1,1918 @@
+{
+  "checkpoint": "runs/ctt_residual_base_context_obj_seed0/model.pt",
+  "k": 8,
+  "measured_metric_summary": {
+    "base_success": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.46099290780141844,
+          "low": 0.19680851063829788,
+          "mean": 0.3085106382978724,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.3085106382978724,
+        "per_seed": {
+          "1025740212": 0.0,
+          "1055157354": 0.0,
+          "1055567618": 1.0,
+          "1113268940": 0.0,
+          "1113371261": 1.0,
+          "1176943004": 0.0,
+          "1189392917": 0.0,
+          "1231780997": 0.0,
+          "1271718007": 0.5,
+          "1273247072": 0.0,
+          "1358421325": 0.0,
+          "1375492786": 1.0,
+          "141984615": 0.0,
+          "1475440973": 1.0,
+          "1483645336": 0.0,
+          "1522272686": 0.0,
+          "1528740417": 1.0,
+          "1549324805": 0.6666666666666666,
+          "1607773860": 0.0,
+          "1665739511": 1.0,
+          "1747178030": 0.0,
+          "1881223807": 0.0,
+          "1919198188": 0.0,
+          "1991414747": 1.0,
+          "1997090716": 0.0,
+          "2015956957": 0.0,
+          "2054899126": 1.0,
+          "211245842": 0.0,
+          "2141802816": 0.0,
+          "256770874": 1.0,
+          "278008524": 0.0,
+          "416183106": 0.0,
+          "534717141": 1.0,
+          "551504635": 0.0,
+          "565369392": 0.3333333333333333,
+          "565621826": 1.0,
+          "585904130": 0.0,
+          "626486813": 0.25,
+          "636680137": 1.0,
+          "706479600": 0.0,
+          "750448296": 0.0,
+          "75070641": 0.0,
+          "767747424": 0.25,
+          "77147264": 0.5,
+          "794181626": 0.0,
+          "957101489": 0.0,
+          "998761162": 0.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.3176470588235294,
+          "low": 0.10153846153846154,
+          "mean": 0.2270286576168929,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.2270286576168929,
+        "per_task": {
+          "LiftPegUpright-v1": 0.3333333333333333,
+          "PickCube-v1": 0.0,
+          "PullCube-v1": 0.29411764705882354,
+          "PushCube-v1": 0.3076923076923077,
+          "StackCube-v1": 0.2
+        }
+      },
+      "metric": "base_success",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.4057971014492754,
+        "low": 0.18840579710144928,
+        "mean": 0.2753623188405797,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "base_utility": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.0808477015729916,
+          "low": 0.6013251688004412,
+          "mean": 0.8163502178883101,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.8163502178883101,
+        "per_seed": {
+          "1025740212": 0.528373658657074,
+          "1055157354": 0.19648407399654388,
+          "1055567618": 2.0,
+          "1113268940": 0.42231252789497375,
+          "1113371261": 2.0,
+          "1176943004": 0.15461373329162598,
+          "1189392917": 0.10841864347457886,
+          "1231780997": 0.7270061373710632,
+          "1271718007": 1.415381133556366,
+          "1273247072": 0.15342965722084045,
+          "1358421325": 0.8272150158882141,
+          "1375492786": 2.0,
+          "141984615": 0.09381213908394177,
+          "1475440973": 2.0,
+          "1483645336": 0.01641605794429779,
+          "1522272686": 0.19844311475753784,
+          "1528740417": 2.0,
+          "1549324805": 1.3787474483251572,
+          "1607773860": 0.8326728343963623,
+          "1665739511": 2.0,
+          "1747178030": 0.14663122594356537,
+          "1881223807": 0.0320269912481308,
+          "1919198188": 0.03719887137413025,
+          "1991414747": 2.0,
+          "1997090716": 0.13927479088306427,
+          "2015956957": 0.06711978986859321,
+          "2054899126": 2.0,
+          "211245842": 0.8388344049453735,
+          "2141802816": 0.07080724835395813,
+          "256770874": 2.0,
+          "278008524": 0.10747186839580536,
+          "416183106": 0.20032641291618347,
+          "534717141": 2.0,
+          "551504635": 0.7239725589752197,
+          "565369392": 0.7997656464576721,
+          "565621826": 2.0,
+          "585904130": 0.07529209802548091,
+          "626486813": 0.5054400166263804,
+          "636680137": 2.0,
+          "706479600": 0.8350887894630432,
+          "750448296": 0.11153355985879898,
+          "75070641": 0.20275163650512695,
+          "767747424": 0.5475241877138615,
+          "77147264": 1.4215794801712036,
+          "794181626": 0.18095605075359344,
+          "957101489": 0.20372186601161957,
+          "998761162": 0.06781657040119171
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.9058472741949395,
+          "low": 0.4133020142714182,
+          "mean": 0.6703776567486757,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.6703776567486757,
+        "per_task": {
+          "LiftPegUpright-v1": 1.0669441471497219,
+          "PickCube-v1": 0.15342965722084045,
+          "PullCube-v1": 0.6512394689215237,
+          "PushCube-v1": 0.6771644606040075,
+          "StackCube-v1": 0.8031105498472849
+        }
+      },
+      "metric": "base_utility",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.923898630168127,
+        "low": 0.5448560892550302,
+        "mean": 0.7180729379567007,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "branch_car_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.6087407858949815,
+          "low": 0.243578380005804,
+          "mean": 0.4175693826273526,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.4175693826273526,
+        "per_seed": {
+          "1025740212": 1.281606376171112,
+          "1055157354": 0.4498589485883713,
+          "1055567618": 1.828233242034912,
+          "1113268940": 0.11861386895179749,
+          "1113371261": 0.0,
+          "1176943004": 1.9300042241811752,
+          "1189392917": 0.0,
+          "1231780997": 1.2770342230796814,
+          "1271718007": 0.9082518517971039,
+          "1273247072": 0.42020074278116226,
+          "1358421325": 0.6354914605617523,
+          "1375492786": 0.0008215903653763235,
+          "141984615": 0.05737591476645321,
+          "1475440973": 1.2853952050209045,
+          "1483645336": 1.8899840712547302,
+          "1522272686": 0.030991941690444946,
+          "1528740417": 0.0,
+          "1549324805": 0.0010904477288325627,
+          "1607773860": 1.8556141257286072,
+          "1665739511": 0.0,
+          "1747178030": 0.02001962810754776,
+          "1881223807": 0.002386912703514099,
+          "1919198188": 0.021911710500717163,
+          "1991414747": 0.017522692680358887,
+          "1997090716": 1.9452667087316513,
+          "2015956957": 0.39167013615369795,
+          "2054899126": 0.0,
+          "211245842": 0.0,
+          "2141802816": 0.008425161242485046,
+          "256770874": 0.44993481040000916,
+          "278008524": 0.0008676897268742323,
+          "416183106": 0.3453921228647232,
+          "534717141": 0.0,
+          "551504635": 1.2800043225288391,
+          "565369392": 0.05178981522719065,
+          "565621826": 0.0,
+          "585904130": 0.01741097339739402,
+          "626486813": 0.033813119400292635,
+          "636680137": 0.0048203859478235245,
+          "706479600": 0.1455947458744049,
+          "750448296": 0.015873273834586143,
+          "75070641": 0.003223627805709839,
+          "767747424": 0.5240038954652846,
+          "77147264": 0.013380475342273712,
+          "794181626": 0.0,
+          "957101489": 0.3607921451330185,
+          "998761162": 0.0010883957147598267
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.6577742758489845,
+          "low": 0.27715372847280956,
+          "mean": 0.4814726852855894,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.4814726852855894,
+        "per_task": {
+          "LiftPegUpright-v1": 0.8737756659587225,
+          "PickCube-v1": 0.42020074278116226,
+          "PullCube-v1": 0.13619081233799293,
+          "PushCube-v1": 0.4458426363193072,
+          "StackCube-v1": 0.5313535690307617
+        }
+      },
+      "metric": "branch_car_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.4942535392575614,
+        "low": 0.19425320601178522,
+        "mean": 0.3486898574730098,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "hidden_chart_oracle_success_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.9148936170212765,
+          "low": 0.7432624113475178,
+          "mean": 0.8358156028368794,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.8358156028368794,
+        "per_seed": {
+          "1025740212": 1.0,
+          "1055157354": 1.0,
+          "1055567618": 1.0,
+          "1113268940": 1.0,
+          "1113371261": 1.0,
+          "1176943004": 1.0,
+          "1189392917": 1.0,
+          "1231780997": 1.0,
+          "1271718007": 1.0,
+          "1273247072": 1.0,
+          "1358421325": 1.0,
+          "1375492786": 0.0,
+          "141984615": 0.0,
+          "1475440973": 1.0,
+          "1483645336": 1.0,
+          "1522272686": 1.0,
+          "1528740417": 1.0,
+          "1549324805": 0.6666666666666666,
+          "1607773860": 1.0,
+          "1665739511": 1.0,
+          "1747178030": 1.0,
+          "1881223807": 1.0,
+          "1919198188": 1.0,
+          "1991414747": 1.0,
+          "1997090716": 1.0,
+          "2015956957": 0.2,
+          "2054899126": 1.0,
+          "211245842": 1.0,
+          "2141802816": 1.0,
+          "256770874": 1.0,
+          "278008524": 0.5,
+          "416183106": 1.0,
+          "534717141": 1.0,
+          "551504635": 1.0,
+          "565369392": 0.6666666666666666,
+          "565621826": 1.0,
+          "585904130": 0.0,
+          "626486813": 0.25,
+          "636680137": 1.0,
+          "706479600": 1.0,
+          "750448296": 0.0,
+          "75070641": 1.0,
+          "767747424": 0.0,
+          "77147264": 1.0,
+          "794181626": 1.0,
+          "957101489": 1.0,
+          "998761162": 1.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.0,
+          "low": 0.5941176470588235,
+          "mean": 0.8647058823529413,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.8647058823529413,
+        "per_task": {
+          "LiftPegUpright-v1": 1.0,
+          "PickCube-v1": 1.0,
+          "PullCube-v1": 0.3235294117647059,
+          "PushCube-v1": 1.0,
+          "StackCube-v1": 1.0
+        }
+      },
+      "metric": "hidden_chart_oracle_success_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.782608695652174,
+        "low": 0.5507246376811594,
+        "mean": 0.6666666666666666,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "hidden_chart_oracle_utility_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.850041654515774,
+          "low": 1.5397213380149701,
+          "mean": 1.7062028111638965,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 1.7062028111638965,
+        "per_seed": {
+          "1025740212": 2.0,
+          "1055157354": 2.0,
+          "1055567618": 2.0,
+          "1113268940": 2.0,
+          "1113371261": 2.0,
+          "1176943004": 2.0,
+          "1189392917": 2.0,
+          "1231780997": 2.0,
+          "1271718007": 2.0,
+          "1273247072": 2.0,
+          "1358421325": 2.0,
+          "1375492786": 0.24345096945762634,
+          "141984615": 0.20044784247875214,
+          "1475440973": 2.0,
+          "1483645336": 2.0,
+          "1522272686": 2.0,
+          "1528740417": 2.0,
+          "1549324805": 1.4027505218982697,
+          "1607773860": 2.0,
+          "1665739511": 2.0,
+          "1747178030": 2.0,
+          "1881223807": 2.0,
+          "1919198188": 2.0,
+          "1991414747": 2.0,
+          "1997090716": 2.0,
+          "2015956957": 0.5298813670873642,
+          "2054899126": 2.0,
+          "211245842": 2.0,
+          "2141802816": 2.0,
+          "256770874": 2.0,
+          "278008524": 1.113811194896698,
+          "416183106": 2.0,
+          "534717141": 2.0,
+          "551504635": 2.0,
+          "565369392": 1.4266315797964733,
+          "565621826": 2.0,
+          "585904130": 0.23764699200789133,
+          "626486813": 0.6124684102833271,
+          "636680137": 2.0,
+          "706479600": 2.0,
+          "750448296": 0.23580759018659592,
+          "75070641": 2.0,
+          "767747424": 0.18863565661013126,
+          "77147264": 2.0,
+          "794181626": 2.0,
+          "957101489": 2.0,
+          "998761162": 2.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 2.0,
+          "low": 1.2693931020796299,
+          "mean": 1.7564643673598765,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 1.7564643673598765,
+        "per_task": {
+          "LiftPegUpright-v1": 2.0,
+          "PickCube-v1": 2.0,
+          "PullCube-v1": 0.7823218367993832,
+          "PushCube-v1": 2.0,
+          "StackCube-v1": 2.0
+        }
+      },
+      "metric": "hidden_chart_oracle_utility_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 1.6080652458080347,
+        "low": 1.1926357444861662,
+        "mean": 1.3999846732054932,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "outcome_ptr_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.6170212765957447,
+          "low": 0.3319148936170213,
+          "mean": 0.48156028368794324,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.48156028368794324,
+        "per_seed": {
+          "1025740212": 1.0,
+          "1055157354": 1.0,
+          "1055567618": 0.0,
+          "1113268940": 1.0,
+          "1113371261": 0.0,
+          "1176943004": 1.0,
+          "1189392917": 1.0,
+          "1231780997": 1.0,
+          "1271718007": 0.5,
+          "1273247072": 1.0,
+          "1358421325": 0.0,
+          "1375492786": 0.0,
+          "141984615": 0.3333333333333333,
+          "1475440973": 0.0,
+          "1483645336": 1.0,
+          "1522272686": 1.0,
+          "1528740417": 0.0,
+          "1549324805": 0.0,
+          "1607773860": 1.0,
+          "1665739511": 0.0,
+          "1747178030": 0.0,
+          "1881223807": 0.0,
+          "1919198188": 1.0,
+          "1991414747": 0.0,
+          "1997090716": 1.0,
+          "2015956957": 0.8,
+          "2054899126": 0.0,
+          "211245842": 0.0,
+          "2141802816": 1.0,
+          "256770874": 0.0,
+          "278008524": 0.0,
+          "416183106": 1.0,
+          "534717141": 0.0,
+          "551504635": 1.0,
+          "565369392": 0.0,
+          "565621826": 0.0,
+          "585904130": 0.0,
+          "626486813": 0.75,
+          "636680137": 0.0,
+          "706479600": 0.0,
+          "750448296": 0.5,
+          "75070641": 1.0,
+          "767747424": 0.75,
+          "77147264": 0.0,
+          "794181626": 1.0,
+          "957101489": 1.0,
+          "998761162": 1.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.8143589743589743,
+          "low": 0.45176470588235296,
+          "mean": 0.6182805429864253,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.6182805429864253,
+        "per_task": {
+          "LiftPegUpright-v1": 0.6666666666666666,
+          "PickCube-v1": 1.0,
+          "PullCube-v1": 0.35294117647058826,
+          "PushCube-v1": 0.5384615384615384,
+          "StackCube-v1": 0.5333333333333333
+        }
+      },
+      "metric": "outcome_ptr_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.5797101449275363,
+        "low": 0.34782608695652173,
+        "mean": 0.463768115942029,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "pairwise_causal_calibration_ece": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.24376288810786303,
+          "low": 0.18434974480601804,
+          "mean": 0.21479075208855025,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.21479075208855025,
+        "per_seed": {
+          "1025740212": 0.20050368294022264,
+          "1055157354": 0.43030250381223584,
+          "1055567618": 0.30857397468613657,
+          "1113268940": 0.3774241061869338,
+          "1113371261": 0.026017268580811406,
+          "1176943004": 0.1246594058194818,
+          "1189392917": 0.1340247769860469,
+          "1231780997": 0.19966589920839098,
+          "1271718007": 0.17939225581112472,
+          "1273247072": 0.16962492308566807,
+          "1358421325": 0.28863435648886215,
+          "1375492786": 0.0996910344508803,
+          "141984615": 0.297780428420543,
+          "1475440973": 0.41171052461838353,
+          "1483645336": 0.35034389349653194,
+          "1522272686": 0.31643520896589616,
+          "1528740417": 0.15436827657008492,
+          "1549324805": 0.23727288575803293,
+          "1607773860": 0.3951037237909243,
+          "1665739511": 0.0,
+          "1747178030": 0.11661420436902857,
+          "1881223807": 0.20266639463366093,
+          "1919198188": 0.09083822075370537,
+          "1991414747": 0.09717880195623664,
+          "1997090716": 0.3641822422309461,
+          "2015956957": 0.22628515797280127,
+          "2054899126": 0.0,
+          "211245842": 0.14834095177221712,
+          "2141802816": 0.07518554002658885,
+          "256770874": 0.18757436508611464,
+          "278008524": 0.10616076660738837,
+          "416183106": 0.1517874168346938,
+          "534717141": 0.18033001516380143,
+          "551504635": 0.3791036296516339,
+          "565369392": 0.21578265463075008,
+          "565621826": 0.0,
+          "585904130": 0.3300621116998719,
+          "626486813": 0.24681469768825515,
+          "636680137": 0.19331728269593437,
+          "706479600": 0.2692917587355154,
+          "750448296": 0.3795450047628438,
+          "75070641": 0.13808834192306887,
+          "767747424": 0.2798082148668758,
+          "77147264": 0.22561784152146835,
+          "794181626": 0.3405496231635778,
+          "957101489": 0.2493251178612577,
+          "998761162": 0.1991858618764328
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.26552488687547154,
+          "low": 0.18076755457919055,
+          "mean": 0.21966205964357566,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.21966205964357566,
+        "per_task": {
+          "LiftPegUpright-v1": 0.28712935319594163,
+          "PickCube-v1": 0.16962492308566807,
+          "PullCube-v1": 0.23311818739476642,
+          "PushCube-v1": 0.15615009218311454,
+          "StackCube-v1": 0.25228774235838763
+        }
+      },
+      "metric": "pairwise_causal_calibration_ece",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.2555647418249429,
+        "low": 0.19558072798702378,
+        "mean": 0.22656067749912578,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "proposal_oracle_success_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.5304964539007092,
+          "low": 0.2815602836879432,
+          "mean": 0.4173758865248227,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.4173758865248227,
+        "per_seed": {
+          "1025740212": 1.0,
+          "1055157354": 0.0,
+          "1055567618": 1.0,
+          "1113268940": 0.0,
+          "1113371261": 1.0,
+          "1176943004": 1.0,
+          "1189392917": 1.0,
+          "1231780997": 1.0,
+          "1271718007": 1.0,
+          "1273247072": 0.0,
+          "1358421325": 0.0,
+          "1375492786": 0.0,
+          "141984615": 0.0,
+          "1475440973": 1.0,
+          "1483645336": 1.0,
+          "1522272686": 0.0,
+          "1528740417": 1.0,
+          "1549324805": 0.6666666666666666,
+          "1607773860": 1.0,
+          "1665739511": 1.0,
+          "1747178030": 0.0,
+          "1881223807": 0.0,
+          "1919198188": 0.0,
+          "1991414747": 0.0,
+          "1997090716": 1.0,
+          "2015956957": 0.2,
+          "2054899126": 1.0,
+          "211245842": 0.0,
+          "2141802816": 0.0,
+          "256770874": 0.0,
+          "278008524": 0.0,
+          "416183106": 0.0,
+          "534717141": 1.0,
+          "551504635": 1.0,
+          "565369392": 0.0,
+          "565621826": 1.0,
+          "585904130": 0.0,
+          "626486813": 0.0,
+          "636680137": 0.0,
+          "706479600": 0.0,
+          "750448296": 0.0,
+          "75070641": 0.0,
+          "767747424": 0.25,
+          "77147264": 0.5,
+          "794181626": 1.0,
+          "957101489": 0.0,
+          "998761162": 0.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.6230769230769232,
+          "low": 0.10666666666666666,
+          "mean": 0.38425339366515837,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.38425339366515837,
+        "per_task": {
+          "LiftPegUpright-v1": 0.8333333333333334,
+          "PickCube-v1": 0.0,
+          "PullCube-v1": 0.20588235294117646,
+          "PushCube-v1": 0.6153846153846154,
+          "StackCube-v1": 0.26666666666666666
+        }
+      },
+      "metric": "proposal_oracle_success_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.4927536231884058,
+        "low": 0.21739130434782608,
+        "mean": 0.34782608695652173,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "proposal_oracle_success_gain_over_base_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.23829787234042552,
+          "low": -0.04539007092198581,
+          "mean": 0.10886524822695036,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.10886524822695036,
+        "per_seed": {
+          "1025740212": 1.0,
+          "1055157354": 0.0,
+          "1055567618": 0.0,
+          "1113268940": 0.0,
+          "1113371261": 0.0,
+          "1176943004": 1.0,
+          "1189392917": 1.0,
+          "1231780997": 1.0,
+          "1271718007": 0.5,
+          "1273247072": 0.0,
+          "1358421325": 0.0,
+          "1375492786": -1.0,
+          "141984615": 0.0,
+          "1475440973": 0.0,
+          "1483645336": 1.0,
+          "1522272686": 0.0,
+          "1528740417": 0.0,
+          "1549324805": 0.0,
+          "1607773860": 1.0,
+          "1665739511": 0.0,
+          "1747178030": 0.0,
+          "1881223807": 0.0,
+          "1919198188": 0.0,
+          "1991414747": -1.0,
+          "1997090716": 1.0,
+          "2015956957": 0.2,
+          "2054899126": 0.0,
+          "211245842": 0.0,
+          "2141802816": 0.0,
+          "256770874": -1.0,
+          "278008524": 0.0,
+          "416183106": 0.0,
+          "534717141": 0.0,
+          "551504635": 1.0,
+          "565369392": -0.3333333333333333,
+          "565621826": 0.0,
+          "585904130": 0.0,
+          "626486813": -0.25,
+          "636680137": -1.0,
+          "706479600": 0.0,
+          "750448296": 0.0,
+          "75070641": 0.0,
+          "767747424": 0.0,
+          "77147264": 0.0,
+          "794181626": 1.0,
+          "957101489": 0.0,
+          "998761162": 0.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.3438914027149321,
+          "low": -0.00862745098039216,
+          "mean": 0.15722473604826545,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.15722473604826545,
+        "per_task": {
+          "LiftPegUpright-v1": 0.5,
+          "PickCube-v1": 0.0,
+          "PullCube-v1": -0.08823529411764706,
+          "PushCube-v1": 0.3076923076923077,
+          "StackCube-v1": 0.06666666666666667
+        }
+      },
+      "metric": "proposal_oracle_success_gain_over_base_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.17391304347826086,
+        "low": -0.07246376811594203,
+        "mean": 0.07246376811594203,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "proposal_oracle_utility_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.1794423699735643,
+          "low": 0.7291675245113577,
+          "mean": 0.9823928705606516,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.9823928705606516,
+        "per_seed": {
+          "1025740212": 2.0,
+          "1055157354": 0.5705926418304443,
+          "1055567618": 2.0,
+          "1113268940": 0.5588552355766296,
+          "1113371261": 2.0,
+          "1176943004": 2.0,
+          "1189392917": 2.0,
+          "1231780997": 2.0,
+          "1271718007": 2.0,
+          "1273247072": 0.4659159183502197,
+          "1358421325": 0.8147144317626953,
+          "1375492786": 0.0015756288776174188,
+          "141984615": 0.06459133536554873,
+          "1475440973": 2.0,
+          "1483645336": 2.0,
+          "1522272686": 0.21208032965660095,
+          "1528740417": 2.0,
+          "1549324805": 1.344537331412236,
+          "1607773860": 2.0,
+          "1665739511": 2.0,
+          "1747178030": 0.1273784190416336,
+          "1881223807": 0.027498364448547363,
+          "1919198188": 0.09917314350605011,
+          "1991414747": 0.13679209351539612,
+          "1997090716": 2.0,
+          "2015956957": 0.46120103299617765,
+          "2054899126": 2.0,
+          "211245842": 0.8135772347450256,
+          "2141802816": 0.08595690131187439,
+          "256770874": 0.574478030204773,
+          "278008524": 0.013509750366210938,
+          "416183106": 0.581784188747406,
+          "534717141": 2.0,
+          "551504635": 2.0,
+          "565369392": 0.14469666282335916,
+          "565621826": 2.0,
+          "585904130": 0.034002700820565224,
+          "626486813": 0.07908930000849068,
+          "636680137": 0.024462858214974403,
+          "706479600": 0.21975377202033997,
+          "750448296": 0.109864491969347,
+          "75070641": 0.2283252328634262,
+          "767747424": 0.5921752639114857,
+          "77147264": 1.1132144927978516,
+          "794181626": 2.0,
+          "957101489": 0.5799027681350708,
+          "998761162": 0.09276536107063293
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.400834542971391,
+          "low": 0.5501597128059331,
+          "mean": 0.9640880215032903,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.9640880215032903,
+        "per_task": {
+          "LiftPegUpright-v1": 1.7598092059294383,
+          "PickCube-v1": 0.4659159183502197,
+          "PullCube-v1": 0.47449842058053676,
+          "PushCube-v1": 1.2588291787184203,
+          "StackCube-v1": 0.8613873839378356
+        }
+      },
+      "metric": "proposal_oracle_utility_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 1.0680866769491357,
+        "low": 0.5915389626904431,
+        "mean": 0.8180189497981464,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "proposal_oracle_utility_gain_over_base_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.4120927946805518,
+          "low": -0.10385253924549498,
+          "mean": 0.16604265267234164,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.16604265267234164,
+        "per_seed": {
+          "1025740212": 1.471626341342926,
+          "1055157354": 0.37410856783390045,
+          "1055567618": 0.0,
+          "1113268940": 0.13654270768165588,
+          "1113371261": 0.0,
+          "1176943004": 1.845386266708374,
+          "1189392917": 1.8915813565254211,
+          "1231780997": 1.2729938626289368,
+          "1271718007": 0.584618866443634,
+          "1273247072": 0.3124862611293793,
+          "1358421325": -0.012500584125518799,
+          "1375492786": -1.9984243711223826,
+          "141984615": -0.029220803718393046,
+          "1475440973": 0.0,
+          "1483645336": 1.9835839420557022,
+          "1522272686": 0.01363721489906311,
+          "1528740417": 0.0,
+          "1549324805": -0.03421011691292127,
+          "1607773860": 1.1673271656036377,
+          "1665739511": 0.0,
+          "1747178030": -0.019252806901931763,
+          "1881223807": -0.004528626799583435,
+          "1919198188": 0.06197427213191986,
+          "1991414747": -1.8632079064846039,
+          "1997090716": 1.8607252091169357,
+          "2015956957": 0.39408124312758447,
+          "2054899126": 0.0,
+          "211245842": -0.0252571702003479,
+          "2141802816": 0.01514965295791626,
+          "256770874": -1.425521969795227,
+          "278008524": -0.09396211802959442,
+          "416183106": 0.38145777583122253,
+          "534717141": 0.0,
+          "551504635": 1.2760274410247803,
+          "565369392": -0.655068983634313,
+          "565621826": 0.0,
+          "585904130": -0.04128939720491568,
+          "626486813": -0.4263507166178897,
+          "636680137": -1.9755371417850256,
+          "706479600": -0.6153350174427032,
+          "750448296": -0.0016690678894519806,
+          "75070641": 0.025573596358299255,
+          "767747424": 0.04465107619762421,
+          "77147264": -0.30836498737335205,
+          "794181626": 1.8190439492464066,
+          "957101489": 0.37618090212345123,
+          "998761162": 0.024948790669441223
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.5184734715865209,
+          "low": 0.015111566525701359,
+          "mean": 0.2937103647546145,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.2937103647546145,
+        "per_task": {
+          "LiftPegUpright-v1": 0.6928650587797165,
+          "PickCube-v1": 0.3124862611293793,
+          "PullCube-v1": -0.17674104834098697,
+          "PushCube-v1": 0.5816647181144128,
+          "StackCube-v1": 0.05827683409055074
+        }
+      },
+      "metric": "proposal_oracle_utility_gain_over_base_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.2862129747003749,
+        "low": -0.1435656816482652,
+        "mean": 0.09994601184144562,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "selected_success_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.30851063829787234,
+          "low": 0.10992907801418439,
+          "mean": 0.20567375886524825,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.20567375886524825,
+        "per_seed": {
+          "1025740212": 0.0,
+          "1055157354": 0.0,
+          "1055567618": 0.0,
+          "1113268940": 0.0,
+          "1113371261": 1.0,
+          "1176943004": 0.0,
+          "1189392917": 1.0,
+          "1231780997": 0.0,
+          "1271718007": 0.5,
+          "1273247072": 0.0,
+          "1358421325": 0.0,
+          "1375492786": 0.0,
+          "141984615": 0.0,
+          "1475440973": 0.0,
+          "1483645336": 0.0,
+          "1522272686": 0.0,
+          "1528740417": 1.0,
+          "1549324805": 0.6666666666666666,
+          "1607773860": 0.0,
+          "1665739511": 1.0,
+          "1747178030": 0.0,
+          "1881223807": 0.0,
+          "1919198188": 0.0,
+          "1991414747": 0.0,
+          "1997090716": 0.0,
+          "2015956957": 0.0,
+          "2054899126": 1.0,
+          "211245842": 0.0,
+          "2141802816": 0.0,
+          "256770874": 0.0,
+          "278008524": 0.0,
+          "416183106": 0.0,
+          "534717141": 1.0,
+          "551504635": 0.0,
+          "565369392": 0.0,
+          "565621826": 1.0,
+          "585904130": 0.0,
+          "626486813": 0.0,
+          "636680137": 0.0,
+          "706479600": 0.0,
+          "750448296": 0.0,
+          "75070641": 0.0,
+          "767747424": 0.0,
+          "77147264": 0.5,
+          "794181626": 1.0,
+          "957101489": 0.0,
+          "998761162": 0.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.2774358974358974,
+          "low": 0.04666666666666667,
+          "mean": 0.15300150829562592,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.15300150829562592,
+        "per_task": {
+          "LiftPegUpright-v1": 0.16666666666666666,
+          "PickCube-v1": 0.0,
+          "PullCube-v1": 0.14705882352941177,
+          "PushCube-v1": 0.38461538461538464,
+          "StackCube-v1": 0.06666666666666667
+        }
+      },
+      "metric": "selected_success_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.2898550724637681,
+        "low": 0.10144927536231885,
+        "mean": 0.17391304347826086,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "selected_success_gain_over_base_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.0017730496453900741,
+          "low": -0.2127659574468085,
+          "mean": -0.10283687943262411,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": -0.10283687943262411,
+        "per_seed": {
+          "1025740212": 0.0,
+          "1055157354": 0.0,
+          "1055567618": -1.0,
+          "1113268940": 0.0,
+          "1113371261": 0.0,
+          "1176943004": 0.0,
+          "1189392917": 1.0,
+          "1231780997": 0.0,
+          "1271718007": 0.0,
+          "1273247072": 0.0,
+          "1358421325": 0.0,
+          "1375492786": -1.0,
+          "141984615": 0.0,
+          "1475440973": -1.0,
+          "1483645336": 0.0,
+          "1522272686": 0.0,
+          "1528740417": 0.0,
+          "1549324805": 0.0,
+          "1607773860": 0.0,
+          "1665739511": 0.0,
+          "1747178030": 0.0,
+          "1881223807": 0.0,
+          "1919198188": 0.0,
+          "1991414747": -1.0,
+          "1997090716": 0.0,
+          "2015956957": 0.0,
+          "2054899126": 0.0,
+          "211245842": 0.0,
+          "2141802816": 0.0,
+          "256770874": -1.0,
+          "278008524": 0.0,
+          "416183106": 0.0,
+          "534717141": 0.0,
+          "551504635": 0.0,
+          "565369392": -0.3333333333333333,
+          "565621826": 0.0,
+          "585904130": 0.0,
+          "626486813": -0.25,
+          "636680137": -1.0,
+          "706479600": 0.0,
+          "750448296": 0.0,
+          "75070641": 0.0,
+          "767747424": -0.25,
+          "77147264": 0.0,
+          "794181626": 1.0,
+          "957101489": 0.0,
+          "998761162": 0.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.001357466063348417,
+          "low": -0.156078431372549,
+          "mean": -0.07402714932126697,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": -0.07402714932126697,
+        "per_task": {
+          "LiftPegUpright-v1": -0.16666666666666666,
+          "PickCube-v1": 0.0,
+          "PullCube-v1": -0.14705882352941177,
+          "PushCube-v1": 0.07692307692307693,
+          "StackCube-v1": -0.13333333333333333
+        }
+      },
+      "metric": "selected_success_gain_over_base_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": -0.028985507246376812,
+        "low": -0.21739130434782608,
+        "mean": -0.10144927536231885,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "selected_utility_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.742602269810456,
+          "low": 0.37777582296799433,
+          "mean": 0.5648234879332992,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.5648234879332992,
+        "per_seed": {
+          "1025740212": 0.7183936238288879,
+          "1055157354": 0.12073369324207306,
+          "1055567618": 0.1717667579650879,
+          "1113268940": 0.44024136662483215,
+          "1113371261": 2.0,
+          "1176943004": 0.06999577581882477,
+          "1189392917": 2.0,
+          "1231780997": 0.7229657769203186,
+          "1271718007": 1.0917481482028961,
+          "1273247072": 0.045715175569057465,
+          "1358421325": 0.179222971200943,
+          "1375492786": 0.0007540385122410953,
+          "141984615": 0.007215420599095523,
+          "1475440973": 0.7146047949790955,
+          "1483645336": 0.11001592874526978,
+          "1522272686": 0.181088387966156,
+          "1528740417": 2.0,
+          "1549324805": 1.3434468836834033,
+          "1607773860": 0.14438587427139282,
+          "1665739511": 2.0,
+          "1747178030": 0.10735879093408585,
+          "1881223807": 0.025111451745033264,
+          "1919198188": 0.07726143300533295,
+          "1991414747": 0.11926940083503723,
+          "1997090716": 0.054733291268348694,
+          "2015956957": 0.0695308968424797,
+          "2054899126": 2.0,
+          "211245842": 0.8135772347450256,
+          "2141802816": 0.07753174006938934,
+          "256770874": 0.1245432198047638,
+          "278008524": 0.012642060639336705,
+          "416183106": 0.2363920658826828,
+          "534717141": 2.0,
+          "551504635": 0.7199956774711609,
+          "565369392": 0.09290684759616852,
+          "565621826": 2.0,
+          "585904130": 0.016591727423171203,
+          "626486813": 0.04527618060819805,
+          "636680137": 0.01964247226715088,
+          "706479600": 0.07415902614593506,
+          "750448296": 0.09399121813476086,
+          "75070641": 0.22510160505771637,
+          "767747424": 0.06817136844620109,
+          "77147264": 1.0998340174555779,
+          "794181626": 2.0,
+          "957101489": 0.2191106230020523,
+          "998761162": 0.09167696535587311
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.7326601550821198,
+          "low": 0.16275214863845203,
+          "mean": 0.4826153362177009,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.4826153362177009,
+        "per_task": {
+          "LiftPegUpright-v1": 0.8860335399707159,
+          "PickCube-v1": 0.045715175569057465,
+          "PullCube-v1": 0.33830760824254386,
+          "PushCube-v1": 0.8129865423991129,
+          "StackCube-v1": 0.33003381490707395
+        }
+      },
+      "metric": "selected_utility_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.6777843068475309,
+        "low": 0.3036627637912465,
+        "mean": 0.46932909232513653,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "selected_utility_gain_over_base_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": -0.0441184930471994,
+          "low": -0.4570727952216018,
+          "mean": -0.251526729955011,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": -0.251526729955011,
+        "per_seed": {
+          "1025740212": 0.19001996517181396,
+          "1055157354": -0.07575038075447083,
+          "1055567618": -1.828233242034912,
+          "1113268940": 0.0179288387298584,
+          "1113371261": 0.0,
+          "1176943004": -0.08461795747280121,
+          "1189392917": 1.8915813565254211,
+          "1231780997": -0.004040360450744629,
+          "1271718007": -0.32363298535346985,
+          "1273247072": -0.10771448165178299,
+          "1358421325": -0.6479920446872711,
+          "1375492786": -1.999245961487759,
+          "141984615": -0.08659671848484625,
+          "1475440973": -1.2853952050209045,
+          "1483645336": 0.09359987080097198,
+          "1522272686": -0.017354726791381836,
+          "1528740417": 0.0,
+          "1549324805": -0.03530056464175383,
+          "1607773860": -0.6882869601249695,
+          "1665739511": 0.0,
+          "1747178030": -0.03927243500947952,
+          "1881223807": -0.006915539503097534,
+          "1919198188": 0.0400625616312027,
+          "1991414747": -1.8807305991649628,
+          "1997090716": -0.08454149961471558,
+          "2015956957": 0.0024111069738864898,
+          "2054899126": 0.0,
+          "211245842": -0.0252571702003479,
+          "2141802816": 0.006724491715431213,
+          "256770874": -1.8754567801952362,
+          "278008524": -0.09482980775646865,
+          "416183106": 0.03606565296649933,
+          "534717141": 0.0,
+          "551504635": -0.003976881504058838,
+          "565369392": -0.7068587988615036,
+          "565621826": 0.0,
+          "585904130": -0.058700370602309704,
+          "626486813": -0.46016383601818234,
+          "636680137": -1.9803575277328491,
+          "706479600": -0.7609297633171082,
+          "750448296": -0.017542341724038124,
+          "75070641": 0.022349968552589417,
+          "767747424": -0.4793528192676604,
+          "77147264": -0.32174546271562576,
+          "794181626": 1.8190439492464066,
+          "957101489": 0.01538875699043274,
+          "998761162": 0.023860394954681396
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": -0.017275244494533833,
+          "low": -0.34496083553122614,
+          "mean": -0.18776232053097486,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": -0.18776232053097486,
+        "per_task": {
+          "LiftPegUpright-v1": -0.18091060717900595,
+          "PickCube-v1": -0.10771448165178299,
+          "PullCube-v1": -0.31293186067897993,
+          "PushCube-v1": 0.13582208179510558,
+          "StackCube-v1": -0.47307673494021096
+        }
+      },
+      "metric": "selected_utility_gain_over_base_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": -0.08520316913642961,
+        "low": -0.4636818296832802,
+        "mean": -0.24874384563156418,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "selector_regret_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.6087407858949815,
+          "low": 0.243578380005804,
+          "mean": 0.4175693826273526,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.4175693826273526,
+        "per_seed": {
+          "1025740212": 1.281606376171112,
+          "1055157354": 0.4498589485883713,
+          "1055567618": 1.828233242034912,
+          "1113268940": 0.11861386895179749,
+          "1113371261": 0.0,
+          "1176943004": 1.9300042241811752,
+          "1189392917": 0.0,
+          "1231780997": 1.2770342230796814,
+          "1271718007": 0.9082518517971039,
+          "1273247072": 0.42020074278116226,
+          "1358421325": 0.6354914605617523,
+          "1375492786": 0.0008215903653763235,
+          "141984615": 0.05737591476645321,
+          "1475440973": 1.2853952050209045,
+          "1483645336": 1.8899840712547302,
+          "1522272686": 0.030991941690444946,
+          "1528740417": 0.0,
+          "1549324805": 0.0010904477288325627,
+          "1607773860": 1.8556141257286072,
+          "1665739511": 0.0,
+          "1747178030": 0.02001962810754776,
+          "1881223807": 0.002386912703514099,
+          "1919198188": 0.021911710500717163,
+          "1991414747": 0.017522692680358887,
+          "1997090716": 1.9452667087316513,
+          "2015956957": 0.39167013615369795,
+          "2054899126": 0.0,
+          "211245842": 0.0,
+          "2141802816": 0.008425161242485046,
+          "256770874": 0.44993481040000916,
+          "278008524": 0.0008676897268742323,
+          "416183106": 0.3453921228647232,
+          "534717141": 0.0,
+          "551504635": 1.2800043225288391,
+          "565369392": 0.05178981522719065,
+          "565621826": 0.0,
+          "585904130": 0.01741097339739402,
+          "626486813": 0.033813119400292635,
+          "636680137": 0.0048203859478235245,
+          "706479600": 0.1455947458744049,
+          "750448296": 0.015873273834586143,
+          "75070641": 0.003223627805709839,
+          "767747424": 0.5240038954652846,
+          "77147264": 0.013380475342273712,
+          "794181626": 0.0,
+          "957101489": 0.3607921451330185,
+          "998761162": 0.0010883957147598267
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.6577742758489845,
+          "low": 0.27715372847280956,
+          "mean": 0.4814726852855894,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.4814726852855894,
+        "per_task": {
+          "LiftPegUpright-v1": 0.8737756659587225,
+          "PickCube-v1": 0.42020074278116226,
+          "PullCube-v1": 0.13619081233799293,
+          "PushCube-v1": 0.4458426363193072,
+          "StackCube-v1": 0.5313535690307617
+        }
+      },
+      "metric": "selector_regret_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.4942535392575614,
+        "low": 0.19425320601178522,
+        "mean": 0.3486898574730098,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "success_selector_gap_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.3382978723404255,
+          "low": 0.10638297872340426,
+          "mean": 0.21170212765957444,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.21170212765957444,
+        "per_seed": {
+          "1025740212": 1.0,
+          "1055157354": 0.0,
+          "1055567618": 1.0,
+          "1113268940": 0.0,
+          "1113371261": 0.0,
+          "1176943004": 1.0,
+          "1189392917": 0.0,
+          "1231780997": 1.0,
+          "1271718007": 0.5,
+          "1273247072": 0.0,
+          "1358421325": 0.0,
+          "1375492786": 0.0,
+          "141984615": 0.0,
+          "1475440973": 1.0,
+          "1483645336": 1.0,
+          "1522272686": 0.0,
+          "1528740417": 0.0,
+          "1549324805": 0.0,
+          "1607773860": 1.0,
+          "1665739511": 0.0,
+          "1747178030": 0.0,
+          "1881223807": 0.0,
+          "1919198188": 0.0,
+          "1991414747": 0.0,
+          "1997090716": 1.0,
+          "2015956957": 0.2,
+          "2054899126": 0.0,
+          "211245842": 0.0,
+          "2141802816": 0.0,
+          "256770874": 0.0,
+          "278008524": 0.0,
+          "416183106": 0.0,
+          "534717141": 0.0,
+          "551504635": 1.0,
+          "565369392": 0.0,
+          "565621826": 0.0,
+          "585904130": 0.0,
+          "626486813": 0.0,
+          "636680137": 0.0,
+          "706479600": 0.0,
+          "750448296": 0.0,
+          "75070641": 0.0,
+          "767747424": 0.25,
+          "77147264": 0.0,
+          "794181626": 0.0,
+          "957101489": 0.0,
+          "998761162": 0.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.45176470588235296,
+          "low": 0.07529411764705883,
+          "mean": 0.2312518853695324,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.2312518853695324,
+        "per_task": {
+          "LiftPegUpright-v1": 0.6666666666666666,
+          "PickCube-v1": 0.0,
+          "PullCube-v1": 0.058823529411764705,
+          "PushCube-v1": 0.23076923076923078,
+          "StackCube-v1": 0.2
+        }
+      },
+      "metric": "success_selector_gap_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.2753623188405797,
+        "low": 0.08695652173913043,
+        "mean": 0.17391304347826086,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "success_support_gap_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.5656028368794326,
+          "low": 0.299645390070922,
+          "mean": 0.4237588652482269,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.4237588652482269,
+        "per_seed": {
+          "1025740212": 0.0,
+          "1055157354": 1.0,
+          "1055567618": 0.0,
+          "1113268940": 1.0,
+          "1113371261": 0.0,
+          "1176943004": 0.0,
+          "1189392917": 0.0,
+          "1231780997": 0.0,
+          "1271718007": 0.0,
+          "1273247072": 1.0,
+          "1358421325": 1.0,
+          "1375492786": 0.0,
+          "141984615": 0.0,
+          "1475440973": 0.0,
+          "1483645336": 0.0,
+          "1522272686": 1.0,
+          "1528740417": 0.0,
+          "1549324805": 0.0,
+          "1607773860": 0.0,
+          "1665739511": 0.0,
+          "1747178030": 1.0,
+          "1881223807": 1.0,
+          "1919198188": 1.0,
+          "1991414747": 1.0,
+          "1997090716": 0.0,
+          "2015956957": 0.0,
+          "2054899126": 0.0,
+          "211245842": 1.0,
+          "2141802816": 1.0,
+          "256770874": 1.0,
+          "278008524": 0.5,
+          "416183106": 1.0,
+          "534717141": 0.0,
+          "551504635": 0.0,
+          "565369392": 0.6666666666666666,
+          "565621826": 0.0,
+          "585904130": 0.0,
+          "626486813": 0.25,
+          "636680137": 1.0,
+          "706479600": 1.0,
+          "750448296": 0.0,
+          "75070641": 1.0,
+          "767747424": 0.0,
+          "77147264": 0.5,
+          "794181626": 0.0,
+          "957101489": 1.0,
+          "998761162": 1.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.7760784313725491,
+          "low": 0.2024132730015083,
+          "mean": 0.48633484162895924,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.48633484162895924,
+        "per_task": {
+          "LiftPegUpright-v1": 0.16666666666666666,
+          "PickCube-v1": 1.0,
+          "PullCube-v1": 0.14705882352941177,
+          "PushCube-v1": 0.38461538461538464,
+          "StackCube-v1": 0.7333333333333333
+        }
+      },
+      "metric": "success_support_gap_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.43478260869565216,
+        "low": 0.21739130434782608,
+        "mean": 0.3333333333333333,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "success_total_car_to_hidden_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.7411347517730495,
+          "low": 0.48191489361702133,
+          "mean": 0.6301418439716312,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.6301418439716312,
+        "per_seed": {
+          "1025740212": 1.0,
+          "1055157354": 1.0,
+          "1055567618": 1.0,
+          "1113268940": 1.0,
+          "1113371261": 0.0,
+          "1176943004": 1.0,
+          "1189392917": 0.0,
+          "1231780997": 1.0,
+          "1271718007": 0.5,
+          "1273247072": 1.0,
+          "1358421325": 1.0,
+          "1375492786": 0.0,
+          "141984615": 0.0,
+          "1475440973": 1.0,
+          "1483645336": 1.0,
+          "1522272686": 1.0,
+          "1528740417": 0.0,
+          "1549324805": 0.0,
+          "1607773860": 1.0,
+          "1665739511": 0.0,
+          "1747178030": 1.0,
+          "1881223807": 1.0,
+          "1919198188": 1.0,
+          "1991414747": 1.0,
+          "1997090716": 1.0,
+          "2015956957": 0.2,
+          "2054899126": 0.0,
+          "211245842": 1.0,
+          "2141802816": 1.0,
+          "256770874": 1.0,
+          "278008524": 0.5,
+          "416183106": 1.0,
+          "534717141": 0.0,
+          "551504635": 1.0,
+          "565369392": 0.6666666666666666,
+          "565621826": 0.0,
+          "585904130": 0.0,
+          "626486813": 0.25,
+          "636680137": 1.0,
+          "706479600": 1.0,
+          "750448296": 0.0,
+          "75070641": 1.0,
+          "767747424": 0.0,
+          "77147264": 0.5,
+          "794181626": 0.0,
+          "957101489": 1.0,
+          "998761162": 1.0
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.9266666666666667,
+          "low": 0.42895927601809963,
+          "mean": 0.7117043740573152,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.7117043740573152,
+        "per_task": {
+          "LiftPegUpright-v1": 0.8333333333333334,
+          "PickCube-v1": 1.0,
+          "PullCube-v1": 0.17647058823529413,
+          "PushCube-v1": 0.6153846153846154,
+          "StackCube-v1": 0.9333333333333333
+        }
+      },
+      "metric": "success_total_car_to_hidden_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.6231884057971014,
+        "low": 0.36231884057971014,
+        "mean": 0.4927536231884058,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "support_gap_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 0.960610361603016,
+          "low": 0.5171997663569934,
+          "mean": 0.7336599861108202,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 0.7336599861108202,
+        "per_seed": {
+          "1025740212": 0.0,
+          "1055157354": 1.4294073581695557,
+          "1055567618": 0.0,
+          "1113268940": 1.4411447644233704,
+          "1113371261": 0.0,
+          "1176943004": 0.0,
+          "1189392917": 0.0,
+          "1231780997": 0.0,
+          "1271718007": 0.0,
+          "1273247072": 1.5340840816497803,
+          "1358421325": 1.1852855682373047,
+          "1375492786": 0.24187534058000892,
+          "141984615": 0.1358565071132034,
+          "1475440973": 0.0,
+          "1483645336": 0.0,
+          "1522272686": 1.787919670343399,
+          "1528740417": 0.0,
+          "1549324805": 0.05821319048603376,
+          "1607773860": 0.0,
+          "1665739511": 0.0,
+          "1747178030": 1.8726215809583664,
+          "1881223807": 1.9725016355514526,
+          "1919198188": 1.90082685649395,
+          "1991414747": 1.8632079064846039,
+          "1997090716": 0.0,
+          "2015956957": 0.06868033409118653,
+          "2054899126": 0.0,
+          "211245842": 1.1864227652549744,
+          "2141802816": 1.9140430986881256,
+          "256770874": 1.425521969795227,
+          "278008524": 1.100301444530487,
+          "416183106": 1.418215811252594,
+          "534717141": 0.0,
+          "551504635": 0.0,
+          "565369392": 1.281934916973114,
+          "565621826": 0.0,
+          "585904130": 0.2036442911873261,
+          "626486813": 0.544636546401307,
+          "636680137": 1.9755371417850256,
+          "706479600": 1.78024622797966,
+          "750448296": 0.12594309821724892,
+          "75070641": 1.7716747671365738,
+          "767747424": 0.04815509542822838,
+          "77147264": 0.8867855072021484,
+          "794181626": 0.0,
+          "957101489": 1.4200972318649292,
+          "998761162": 1.907234638929367
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.2206306469485657,
+          "low": 0.36480631544491765,
+          "mean": 0.8032693373590819,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 0.8032693373590819,
+        "per_task": {
+          "LiftPegUpright-v1": 0.24019079407056174,
+          "PickCube-v1": 1.5340840816497803,
+          "PullCube-v1": 0.3622883737313232,
+          "PushCube-v1": 0.7411708212815799,
+          "StackCube-v1": 1.1386126160621644
+        }
+      },
+      "metric": "support_gap_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 0.7914590279021692,
+        "low": 0.41281149387224647,
+        "mean": 0.6088035285584223,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    },
+    "total_car_to_hidden_at_8": {
+      "macro_by_seed": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.3427126641637903,
+          "low": 0.9024325011565566,
+          "mean": 1.141379323230597,
+          "n": 47,
+          "num_samples": 200
+        },
+        "mean": 1.141379323230597,
+        "per_seed": {
+          "1025740212": 1.281606376171112,
+          "1055157354": 1.879266306757927,
+          "1055567618": 1.828233242034912,
+          "1113268940": 1.5597586333751678,
+          "1113371261": 0.0,
+          "1176943004": 1.9300042241811752,
+          "1189392917": 0.0,
+          "1231780997": 1.2770342230796814,
+          "1271718007": 0.9082518517971039,
+          "1273247072": 1.9542848244309425,
+          "1358421325": 1.820777028799057,
+          "1375492786": 0.24269693094538525,
+          "141984615": 0.1932324218796566,
+          "1475440973": 1.2853952050209045,
+          "1483645336": 1.8899840712547302,
+          "1522272686": 1.818911612033844,
+          "1528740417": 0.0,
+          "1549324805": 0.05930363821486632,
+          "1607773860": 1.8556141257286072,
+          "1665739511": 0.0,
+          "1747178030": 1.8926412090659142,
+          "1881223807": 1.9748885482549667,
+          "1919198188": 1.922738566994667,
+          "1991414747": 1.8807305991649628,
+          "1997090716": 1.9452667087316513,
+          "2015956957": 0.4603504702448845,
+          "2054899126": 0.0,
+          "211245842": 1.1864227652549744,
+          "2141802816": 1.9224682599306107,
+          "256770874": 1.8754567801952362,
+          "278008524": 1.1011691342573613,
+          "416183106": 1.7636079341173172,
+          "534717141": 0.0,
+          "551504635": 1.2800043225288391,
+          "565369392": 1.3337247322003047,
+          "565621826": 0.0,
+          "585904130": 0.22105526458472013,
+          "626486813": 0.5671922296751291,
+          "636680137": 1.9803575277328491,
+          "706479600": 1.925840973854065,
+          "750448296": 0.14181637205183506,
+          "75070641": 1.7748983949422836,
+          "767747424": 0.12046428816393018,
+          "77147264": 0.9001659825444221,
+          "794181626": 0.0,
+          "957101489": 1.7808893769979477,
+          "998761162": 1.908323034644127
+        }
+      },
+      "macro_by_task": {
+        "ci": {
+          "confidence": 0.95,
+          "high": 1.687103095329725,
+          "low": 0.8378044656728661,
+          "mean": 1.273849031142176,
+          "n": 5,
+          "num_samples": 200
+        },
+        "mean": 1.273849031142176,
+        "per_task": {
+          "LiftPegUpright-v1": 1.1139664600292842,
+          "PickCube-v1": 1.9542848244309425,
+          "PullCube-v1": 0.4440142285568393,
+          "PushCube-v1": 1.187013457600887,
+          "StackCube-v1": 1.669966185092926
+        }
+      },
+      "metric": "total_car_to_hidden_at_8",
+      "micro": {
+        "confidence": 0.95,
+        "high": 1.1326504737118501,
+        "low": 0.71822580749142,
+        "mean": 0.9306555808803566,
+        "n": 69,
+        "num_samples": 200
+      },
+      "n": 69
+    }
+  },
+  "num_rows": 69,
+  "report_type": "ctt_generated_measured_rollout",
+  "schema_version": 1,
+  "source_content_hash": "67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42",
+  "source_split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372",
+  "success_summary": {
+    "base_success_rate": 0.2753623188405797,
+    "base_utility_mean": 0.7180729379567007,
+    "hidden_chart_oracle_success_rate": 0.6666666666666666,
+    "hidden_chart_oracle_utility_mean": 1.3999846732054932,
+    "max_restore_error": 1.4901161193847656e-08,
+    "proposal_oracle_success_gain_over_base": 0.07246376811594203,
+    "proposal_oracle_success_rate": 0.34782608695652173,
+    "proposal_oracle_utility_mean": 0.8180189497981464,
+    "selected_success_gain_over_base": -0.10144927536231885,
+    "selected_success_rate": 0.17391304347826086,
+    "selected_utility_mean": 0.46932909232513653,
+    "success_selector_gap": 0.17391304347826086,
+    "success_support_gap": 0.3333333333333333
+  },
+  "target_content_hash": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708",
+  "target_split_hash": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381"
+}

runs/ctt_residual_base_context_obj_rollout_val69_seed0/metrics_by_seed.json

@@ -0,0 +1,1083 @@
+{
+  "1025740212": {
+    "base_success": 0.0,
+    "base_utility": 0.528373658657074,
+    "branch_car_at_8": 1.281606376171112,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.20050368294022264,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.471626341342926,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.7183936238288879,
+    "selected_utility_gain_over_base_at_8": 0.19001996517181396,
+    "selector_regret_at_8": 1.281606376171112,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.281606376171112
+  },
+  "1055157354": {
+    "base_success": 0.0,
+    "base_utility": 0.19648407399654388,
+    "branch_car_at_8": 0.4498589485883713,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.43030250381223584,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5705926418304443,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.37410856783390045,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.12073369324207306,
+    "selected_utility_gain_over_base_at_8": -0.07575038075447083,
+    "selector_regret_at_8": 0.4498589485883713,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.4294073581695557,
+    "total_car_to_hidden_at_8": 1.879266306757927
+  },
+  "1055567618": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 1.828233242034912,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.30857397468613657,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.1717667579650879,
+    "selected_utility_gain_over_base_at_8": -1.828233242034912,
+    "selector_regret_at_8": 1.828233242034912,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.828233242034912
+  },
+  "1113268940": {
+    "base_success": 0.0,
+    "base_utility": 0.42231252789497375,
+    "branch_car_at_8": 0.11861386895179749,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3774241061869338,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5588552355766296,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.13654270768165588,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.44024136662483215,
+    "selected_utility_gain_over_base_at_8": 0.0179288387298584,
+    "selector_regret_at_8": 0.11861386895179749,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.4411447644233704,
+    "total_car_to_hidden_at_8": 1.5597586333751678
+  },
+  "1113371261": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.026017268580811406,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1176943004": {
+    "base_success": 0.0,
+    "base_utility": 0.15461373329162598,
+    "branch_car_at_8": 1.9300042241811752,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1246594058194818,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.845386266708374,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.06999577581882477,
+    "selected_utility_gain_over_base_at_8": -0.08461795747280121,
+    "selector_regret_at_8": 1.9300042241811752,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.9300042241811752
+  },
+  "1189392917": {
+    "base_success": 0.0,
+    "base_utility": 0.10841864347457886,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1340247769860469,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.8915813565254211,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 1.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 1.8915813565254211,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1231780997": {
+    "base_success": 0.0,
+    "base_utility": 0.7270061373710632,
+    "branch_car_at_8": 1.2770342230796814,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.19966589920839098,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.2729938626289368,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.7229657769203186,
+    "selected_utility_gain_over_base_at_8": -0.004040360450744629,
+    "selector_regret_at_8": 1.2770342230796814,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.2770342230796814
+  },
+  "1271718007": {
+    "base_success": 0.5,
+    "base_utility": 1.415381133556366,
+    "branch_car_at_8": 0.9082518517971039,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5,
+    "pairwise_causal_calibration_ece": 0.17939225581112472,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.5,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.584618866443634,
+    "selected_success_at_8": 0.5,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 1.0917481482028961,
+    "selected_utility_gain_over_base_at_8": -0.32363298535346985,
+    "selector_regret_at_8": 0.9082518517971039,
+    "success_selector_gap_at_8": 0.5,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.5,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.9082518517971039
+  },
+  "1273247072": {
+    "base_success": 0.0,
+    "base_utility": 0.15342965722084045,
+    "branch_car_at_8": 0.42020074278116226,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.16962492308566807,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.4659159183502197,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.3124862611293793,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.045715175569057465,
+    "selected_utility_gain_over_base_at_8": -0.10771448165178299,
+    "selector_regret_at_8": 0.42020074278116226,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.5340840816497803,
+    "total_car_to_hidden_at_8": 1.9542848244309425
+  },
+  "1358421325": {
+    "base_success": 0.0,
+    "base_utility": 0.8272150158882141,
+    "branch_car_at_8": 0.6354914605617523,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.28863435648886215,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.8147144317626953,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.012500584125518799,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.179222971200943,
+    "selected_utility_gain_over_base_at_8": -0.6479920446872711,
+    "selector_regret_at_8": 0.6354914605617523,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.1852855682373047,
+    "total_car_to_hidden_at_8": 1.820777028799057
+  },
+  "1375492786": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0008215903653763235,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.24345096945762634,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0996910344508803,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.0015756288776174188,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.9984243711223826,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.0007540385122410953,
+    "selected_utility_gain_over_base_at_8": -1.999245961487759,
+    "selector_regret_at_8": 0.0008215903653763235,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.24187534058000892,
+    "total_car_to_hidden_at_8": 0.24269693094538525
+  },
+  "141984615": {
+    "base_success": 0.0,
+    "base_utility": 0.09381213908394177,
+    "branch_car_at_8": 0.05737591476645321,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.20044784247875214,
+    "outcome_ptr_at_8": 0.3333333333333333,
+    "pairwise_causal_calibration_ece": 0.297780428420543,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.06459133536554873,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.029220803718393046,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.007215420599095523,
+    "selected_utility_gain_over_base_at_8": -0.08659671848484625,
+    "selector_regret_at_8": 0.05737591476645321,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.1358565071132034,
+    "total_car_to_hidden_at_8": 0.1932324218796566
+  },
+  "1475440973": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 1.2853952050209045,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.41171052461838353,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.7146047949790955,
+    "selected_utility_gain_over_base_at_8": -1.2853952050209045,
+    "selector_regret_at_8": 1.2853952050209045,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.2853952050209045
+  },
+  "1483645336": {
+    "base_success": 0.0,
+    "base_utility": 0.01641605794429779,
+    "branch_car_at_8": 1.8899840712547302,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.35034389349653194,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.9835839420557022,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.11001592874526978,
+    "selected_utility_gain_over_base_at_8": 0.09359987080097198,
+    "selector_regret_at_8": 1.8899840712547302,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.8899840712547302
+  },
+  "1522272686": {
+    "base_success": 0.0,
+    "base_utility": 0.19844311475753784,
+    "branch_car_at_8": 0.030991941690444946,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.31643520896589616,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.21208032965660095,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.01363721489906311,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.181088387966156,
+    "selected_utility_gain_over_base_at_8": -0.017354726791381836,
+    "selector_regret_at_8": 0.030991941690444946,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.787919670343399,
+    "total_car_to_hidden_at_8": 1.818911612033844
+  },
+  "1528740417": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.15436827657008492,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1549324805": {
+    "base_success": 0.6666666666666666,
+    "base_utility": 1.3787474483251572,
+    "branch_car_at_8": 0.0010904477288325627,
+    "hidden_chart_oracle_success_at_8": 0.6666666666666666,
+    "hidden_chart_oracle_utility_at_8": 1.4027505218982697,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.23727288575803293,
+    "proposal_oracle_success_at_8": 0.6666666666666666,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 1.344537331412236,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.03421011691292127,
+    "selected_success_at_8": 0.6666666666666666,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 1.3434468836834033,
+    "selected_utility_gain_over_base_at_8": -0.03530056464175383,
+    "selector_regret_at_8": 0.0010904477288325627,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.05821319048603376,
+    "total_car_to_hidden_at_8": 0.05930363821486632
+  },
+  "1607773860": {
+    "base_success": 0.0,
+    "base_utility": 0.8326728343963623,
+    "branch_car_at_8": 1.8556141257286072,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3951037237909243,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.1673271656036377,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.14438587427139282,
+    "selected_utility_gain_over_base_at_8": -0.6882869601249695,
+    "selector_regret_at_8": 1.8556141257286072,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.8556141257286072
+  },
+  "1665739511": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "1747178030": {
+    "base_success": 0.0,
+    "base_utility": 0.14663122594356537,
+    "branch_car_at_8": 0.02001962810754776,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.11661420436902857,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.1273784190416336,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.019252806901931763,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.10735879093408585,
+    "selected_utility_gain_over_base_at_8": -0.03927243500947952,
+    "selector_regret_at_8": 0.02001962810754776,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.8726215809583664,
+    "total_car_to_hidden_at_8": 1.8926412090659142
+  },
+  "1881223807": {
+    "base_success": 0.0,
+    "base_utility": 0.0320269912481308,
+    "branch_car_at_8": 0.002386912703514099,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.20266639463366093,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.027498364448547363,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.004528626799583435,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.025111451745033264,
+    "selected_utility_gain_over_base_at_8": -0.006915539503097534,
+    "selector_regret_at_8": 0.002386912703514099,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.9725016355514526,
+    "total_car_to_hidden_at_8": 1.9748885482549667
+  },
+  "1919198188": {
+    "base_success": 0.0,
+    "base_utility": 0.03719887137413025,
+    "branch_car_at_8": 0.021911710500717163,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.09083822075370537,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.09917314350605011,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.06197427213191986,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.07726143300533295,
+    "selected_utility_gain_over_base_at_8": 0.0400625616312027,
+    "selector_regret_at_8": 0.021911710500717163,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.90082685649395,
+    "total_car_to_hidden_at_8": 1.922738566994667
+  },
+  "1991414747": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.017522692680358887,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.09717880195623664,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.13679209351539612,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.8632079064846039,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.11926940083503723,
+    "selected_utility_gain_over_base_at_8": -1.8807305991649628,
+    "selector_regret_at_8": 0.017522692680358887,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.8632079064846039,
+    "total_car_to_hidden_at_8": 1.8807305991649628
+  },
+  "1997090716": {
+    "base_success": 0.0,
+    "base_utility": 0.13927479088306427,
+    "branch_car_at_8": 1.9452667087316513,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3641822422309461,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.8607252091169357,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.054733291268348694,
+    "selected_utility_gain_over_base_at_8": -0.08454149961471558,
+    "selector_regret_at_8": 1.9452667087316513,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.9452667087316513
+  },
+  "2015956957": {
+    "base_success": 0.0,
+    "base_utility": 0.06711978986859321,
+    "branch_car_at_8": 0.39167013615369795,
+    "hidden_chart_oracle_success_at_8": 0.2,
+    "hidden_chart_oracle_utility_at_8": 0.5298813670873642,
+    "outcome_ptr_at_8": 0.8,
+    "pairwise_causal_calibration_ece": 0.22628515797280127,
+    "proposal_oracle_success_at_8": 0.2,
+    "proposal_oracle_success_gain_over_base_at_8": 0.2,
+    "proposal_oracle_utility_at_8": 0.46120103299617765,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.39408124312758447,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.0695308968424797,
+    "selected_utility_gain_over_base_at_8": 0.0024111069738864898,
+    "selector_regret_at_8": 0.39167013615369795,
+    "success_selector_gap_at_8": 0.2,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.2,
+    "support_gap_at_8": 0.06868033409118653,
+    "total_car_to_hidden_at_8": 0.4603504702448845
+  },
+  "2054899126": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "211245842": {
+    "base_success": 0.0,
+    "base_utility": 0.8388344049453735,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.14834095177221712,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.8135772347450256,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.0252571702003479,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.8135772347450256,
+    "selected_utility_gain_over_base_at_8": -0.0252571702003479,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.1864227652549744,
+    "total_car_to_hidden_at_8": 1.1864227652549744
+  },
+  "2141802816": {
+    "base_success": 0.0,
+    "base_utility": 0.07080724835395813,
+    "branch_car_at_8": 0.008425161242485046,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.07518554002658885,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.08595690131187439,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.01514965295791626,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.07753174006938934,
+    "selected_utility_gain_over_base_at_8": 0.006724491715431213,
+    "selector_regret_at_8": 0.008425161242485046,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.9140430986881256,
+    "total_car_to_hidden_at_8": 1.9224682599306107
+  },
+  "256770874": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.44993481040000916,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.18757436508611464,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.574478030204773,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.425521969795227,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.1245432198047638,
+    "selected_utility_gain_over_base_at_8": -1.8754567801952362,
+    "selector_regret_at_8": 0.44993481040000916,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.425521969795227,
+    "total_car_to_hidden_at_8": 1.8754567801952362
+  },
+  "278008524": {
+    "base_success": 0.0,
+    "base_utility": 0.10747186839580536,
+    "branch_car_at_8": 0.0008676897268742323,
+    "hidden_chart_oracle_success_at_8": 0.5,
+    "hidden_chart_oracle_utility_at_8": 1.113811194896698,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.10616076660738837,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.013509750366210938,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.09396211802959442,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.012642060639336705,
+    "selected_utility_gain_over_base_at_8": -0.09482980775646865,
+    "selector_regret_at_8": 0.0008676897268742323,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.5,
+    "success_total_car_to_hidden_at_8": 0.5,
+    "support_gap_at_8": 1.100301444530487,
+    "total_car_to_hidden_at_8": 1.1011691342573613
+  },
+  "416183106": {
+    "base_success": 0.0,
+    "base_utility": 0.20032641291618347,
+    "branch_car_at_8": 0.3453921228647232,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1517874168346938,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.581784188747406,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.38145777583122253,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.2363920658826828,
+    "selected_utility_gain_over_base_at_8": 0.03606565296649933,
+    "selector_regret_at_8": 0.3453921228647232,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.418215811252594,
+    "total_car_to_hidden_at_8": 1.7636079341173172
+  },
+  "534717141": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.18033001516380143,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "551504635": {
+    "base_success": 0.0,
+    "base_utility": 0.7239725589752197,
+    "branch_car_at_8": 1.2800043225288391,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3791036296516339,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.2760274410247803,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.7199956774711609,
+    "selected_utility_gain_over_base_at_8": -0.003976881504058838,
+    "selector_regret_at_8": 1.2800043225288391,
+    "success_selector_gap_at_8": 1.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 1.2800043225288391
+  },
+  "565369392": {
+    "base_success": 0.3333333333333333,
+    "base_utility": 0.7997656464576721,
+    "branch_car_at_8": 0.05178981522719065,
+    "hidden_chart_oracle_success_at_8": 0.6666666666666666,
+    "hidden_chart_oracle_utility_at_8": 1.4266315797964733,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.21578265463075008,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -0.3333333333333333,
+    "proposal_oracle_utility_at_8": 0.14469666282335916,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.655068983634313,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -0.3333333333333333,
+    "selected_utility_at_8": 0.09290684759616852,
+    "selected_utility_gain_over_base_at_8": -0.7068587988615036,
+    "selector_regret_at_8": 0.05178981522719065,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.6666666666666666,
+    "success_total_car_to_hidden_at_8": 0.6666666666666666,
+    "support_gap_at_8": 1.281934916973114,
+    "total_car_to_hidden_at_8": 1.3337247322003047
+  },
+  "565621826": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.0,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.0,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 0.0,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "585904130": {
+    "base_success": 0.0,
+    "base_utility": 0.07529209802548091,
+    "branch_car_at_8": 0.01741097339739402,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.23764699200789133,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.3300621116998719,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.034002700820565224,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.04128939720491568,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.016591727423171203,
+    "selected_utility_gain_over_base_at_8": -0.058700370602309704,
+    "selector_regret_at_8": 0.01741097339739402,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.2036442911873261,
+    "total_car_to_hidden_at_8": 0.22105526458472013
+  },
+  "626486813": {
+    "base_success": 0.25,
+    "base_utility": 0.5054400166263804,
+    "branch_car_at_8": 0.033813119400292635,
+    "hidden_chart_oracle_success_at_8": 0.25,
+    "hidden_chart_oracle_utility_at_8": 0.6124684102833271,
+    "outcome_ptr_at_8": 0.75,
+    "pairwise_causal_calibration_ece": 0.24681469768825515,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -0.25,
+    "proposal_oracle_utility_at_8": 0.07908930000849068,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.4263507166178897,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -0.25,
+    "selected_utility_at_8": 0.04527618060819805,
+    "selected_utility_gain_over_base_at_8": -0.46016383601818234,
+    "selector_regret_at_8": 0.033813119400292635,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.25,
+    "success_total_car_to_hidden_at_8": 0.25,
+    "support_gap_at_8": 0.544636546401307,
+    "total_car_to_hidden_at_8": 0.5671922296751291
+  },
+  "636680137": {
+    "base_success": 1.0,
+    "base_utility": 2.0,
+    "branch_car_at_8": 0.0048203859478235245,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.19331728269593437,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": -1.0,
+    "proposal_oracle_utility_at_8": 0.024462858214974403,
+    "proposal_oracle_utility_gain_over_base_at_8": -1.9755371417850256,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -1.0,
+    "selected_utility_at_8": 0.01964247226715088,
+    "selected_utility_gain_over_base_at_8": -1.9803575277328491,
+    "selector_regret_at_8": 0.0048203859478235245,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.9755371417850256,
+    "total_car_to_hidden_at_8": 1.9803575277328491
+  },
+  "706479600": {
+    "base_success": 0.0,
+    "base_utility": 0.8350887894630432,
+    "branch_car_at_8": 0.1455947458744049,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.2692917587355154,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.21975377202033997,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.6153350174427032,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.07415902614593506,
+    "selected_utility_gain_over_base_at_8": -0.7609297633171082,
+    "selector_regret_at_8": 0.1455947458744049,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.78024622797966,
+    "total_car_to_hidden_at_8": 1.925840973854065
+  },
+  "750448296": {
+    "base_success": 0.0,
+    "base_utility": 0.11153355985879898,
+    "branch_car_at_8": 0.015873273834586143,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.23580759018659592,
+    "outcome_ptr_at_8": 0.5,
+    "pairwise_causal_calibration_ece": 0.3795450047628438,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.109864491969347,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.0016690678894519806,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.09399121813476086,
+    "selected_utility_gain_over_base_at_8": -0.017542341724038124,
+    "selector_regret_at_8": 0.015873273834586143,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.12594309821724892,
+    "total_car_to_hidden_at_8": 0.14181637205183506
+  },
+  "75070641": {
+    "base_success": 0.0,
+    "base_utility": 0.20275163650512695,
+    "branch_car_at_8": 0.003223627805709839,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.13808834192306887,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.2283252328634262,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.025573596358299255,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.22510160505771637,
+    "selected_utility_gain_over_base_at_8": 0.022349968552589417,
+    "selector_regret_at_8": 0.003223627805709839,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.7716747671365738,
+    "total_car_to_hidden_at_8": 1.7748983949422836
+  },
+  "767747424": {
+    "base_success": 0.25,
+    "base_utility": 0.5475241877138615,
+    "branch_car_at_8": 0.5240038954652846,
+    "hidden_chart_oracle_success_at_8": 0.0,
+    "hidden_chart_oracle_utility_at_8": 0.18863565661013126,
+    "outcome_ptr_at_8": 0.75,
+    "pairwise_causal_calibration_ece": 0.2798082148668758,
+    "proposal_oracle_success_at_8": 0.25,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5921752639114857,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.04465107619762421,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": -0.25,
+    "selected_utility_at_8": 0.06817136844620109,
+    "selected_utility_gain_over_base_at_8": -0.4793528192676604,
+    "selector_regret_at_8": 0.5240038954652846,
+    "success_selector_gap_at_8": 0.25,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.04815509542822838,
+    "total_car_to_hidden_at_8": 0.12046428816393018
+  },
+  "77147264": {
+    "base_success": 0.5,
+    "base_utility": 1.4215794801712036,
+    "branch_car_at_8": 0.013380475342273712,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.0,
+    "pairwise_causal_calibration_ece": 0.22561784152146835,
+    "proposal_oracle_success_at_8": 0.5,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 1.1132144927978516,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.30836498737335205,
+    "selected_success_at_8": 0.5,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 1.0998340174555779,
+    "selected_utility_gain_over_base_at_8": -0.32174546271562576,
+    "selector_regret_at_8": 0.013380475342273712,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.5,
+    "success_total_car_to_hidden_at_8": 0.5,
+    "support_gap_at_8": 0.8867855072021484,
+    "total_car_to_hidden_at_8": 0.9001659825444221
+  },
+  "794181626": {
+    "base_success": 0.0,
+    "base_utility": 0.18095605075359344,
+    "branch_car_at_8": 0.0,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.3405496231635778,
+    "proposal_oracle_success_at_8": 1.0,
+    "proposal_oracle_success_gain_over_base_at_8": 1.0,
+    "proposal_oracle_utility_at_8": 2.0,
+    "proposal_oracle_utility_gain_over_base_at_8": 1.8190439492464066,
+    "selected_success_at_8": 1.0,
+    "selected_success_gain_over_base_at_8": 1.0,
+    "selected_utility_at_8": 2.0,
+    "selected_utility_gain_over_base_at_8": 1.8190439492464066,
+    "selector_regret_at_8": 0.0,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 0.0,
+    "success_total_car_to_hidden_at_8": 0.0,
+    "support_gap_at_8": 0.0,
+    "total_car_to_hidden_at_8": 0.0
+  },
+  "957101489": {
+    "base_success": 0.0,
+    "base_utility": 0.20372186601161957,
+    "branch_car_at_8": 0.3607921451330185,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.2493251178612577,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.5799027681350708,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.37618090212345123,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.2191106230020523,
+    "selected_utility_gain_over_base_at_8": 0.01538875699043274,
+    "selector_regret_at_8": 0.3607921451330185,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.4200972318649292,
+    "total_car_to_hidden_at_8": 1.7808893769979477
+  },
+  "998761162": {
+    "base_success": 0.0,
+    "base_utility": 0.06781657040119171,
+    "branch_car_at_8": 0.0010883957147598267,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.1991858618764328,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.09276536107063293,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.024948790669441223,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.09167696535587311,
+    "selected_utility_gain_over_base_at_8": 0.023860394954681396,
+    "selector_regret_at_8": 0.0010883957147598267,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.907234638929367,
+    "total_car_to_hidden_at_8": 1.908323034644127
+  }
+}

runs/ctt_residual_base_context_obj_rollout_val69_seed0/metrics_by_task.json

@@ -0,0 +1,117 @@
+{
+  "LiftPegUpright-v1": {
+    "base_success": 0.3333333333333333,
+    "base_utility": 1.0669441471497219,
+    "branch_car_at_8": 0.8737756659587225,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.6666666666666666,
+    "pairwise_causal_calibration_ece": 0.28712935319594163,
+    "proposal_oracle_success_at_8": 0.8333333333333334,
+    "proposal_oracle_success_gain_over_base_at_8": 0.5,
+    "proposal_oracle_utility_at_8": 1.7598092059294383,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.6928650587797165,
+    "selected_success_at_8": 0.16666666666666666,
+    "selected_success_gain_over_base_at_8": -0.16666666666666666,
+    "selected_utility_at_8": 0.8860335399707159,
+    "selected_utility_gain_over_base_at_8": -0.18091060717900595,
+    "selector_regret_at_8": 0.8737756659587225,
+    "success_selector_gap_at_8": 0.6666666666666666,
+    "success_support_gap_at_8": 0.16666666666666666,
+    "success_total_car_to_hidden_at_8": 0.8333333333333334,
+    "support_gap_at_8": 0.24019079407056174,
+    "total_car_to_hidden_at_8": 1.1139664600292842
+  },
+  "PickCube-v1": {
+    "base_success": 0.0,
+    "base_utility": 0.15342965722084045,
+    "branch_car_at_8": 0.42020074278116226,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 1.0,
+    "pairwise_causal_calibration_ece": 0.16962492308566807,
+    "proposal_oracle_success_at_8": 0.0,
+    "proposal_oracle_success_gain_over_base_at_8": 0.0,
+    "proposal_oracle_utility_at_8": 0.4659159183502197,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.3124862611293793,
+    "selected_success_at_8": 0.0,
+    "selected_success_gain_over_base_at_8": 0.0,
+    "selected_utility_at_8": 0.045715175569057465,
+    "selected_utility_gain_over_base_at_8": -0.10771448165178299,
+    "selector_regret_at_8": 0.42020074278116226,
+    "success_selector_gap_at_8": 0.0,
+    "success_support_gap_at_8": 1.0,
+    "success_total_car_to_hidden_at_8": 1.0,
+    "support_gap_at_8": 1.5340840816497803,
+    "total_car_to_hidden_at_8": 1.9542848244309425
+  },
+  "PullCube-v1": {
+    "base_success": 0.29411764705882354,
+    "base_utility": 0.6512394689215237,
+    "branch_car_at_8": 0.13619081233799293,
+    "hidden_chart_oracle_success_at_8": 0.3235294117647059,
+    "hidden_chart_oracle_utility_at_8": 0.7823218367993832,
+    "outcome_ptr_at_8": 0.35294117647058826,
+    "pairwise_causal_calibration_ece": 0.23311818739476642,
+    "proposal_oracle_success_at_8": 0.20588235294117646,
+    "proposal_oracle_success_gain_over_base_at_8": -0.08823529411764706,
+    "proposal_oracle_utility_at_8": 0.47449842058053676,
+    "proposal_oracle_utility_gain_over_base_at_8": -0.17674104834098697,
+    "selected_success_at_8": 0.14705882352941177,
+    "selected_success_gain_over_base_at_8": -0.14705882352941177,
+    "selected_utility_at_8": 0.33830760824254386,
+    "selected_utility_gain_over_base_at_8": -0.31293186067897993,
+    "selector_regret_at_8": 0.13619081233799293,
+    "success_selector_gap_at_8": 0.058823529411764705,
+    "success_support_gap_at_8": 0.14705882352941177,
+    "success_total_car_to_hidden_at_8": 0.17647058823529413,
+    "support_gap_at_8": 0.3622883737313232,
+    "total_car_to_hidden_at_8": 0.4440142285568393
+  },
+  "PushCube-v1": {
+    "base_success": 0.3076923076923077,
+    "base_utility": 0.6771644606040075,
+    "branch_car_at_8": 0.4458426363193072,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5384615384615384,
+    "pairwise_causal_calibration_ece": 0.15615009218311454,
+    "proposal_oracle_success_at_8": 0.6153846153846154,
+    "proposal_oracle_success_gain_over_base_at_8": 0.3076923076923077,
+    "proposal_oracle_utility_at_8": 1.2588291787184203,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.5816647181144128,
+    "selected_success_at_8": 0.38461538461538464,
+    "selected_success_gain_over_base_at_8": 0.07692307692307693,
+    "selected_utility_at_8": 0.8129865423991129,
+    "selected_utility_gain_over_base_at_8": 0.13582208179510558,
+    "selector_regret_at_8": 0.4458426363193072,
+    "success_selector_gap_at_8": 0.23076923076923078,
+    "success_support_gap_at_8": 0.38461538461538464,
+    "success_total_car_to_hidden_at_8": 0.6153846153846154,
+    "support_gap_at_8": 0.7411708212815799,
+    "total_car_to_hidden_at_8": 1.187013457600887
+  },
+  "StackCube-v1": {
+    "base_success": 0.2,
+    "base_utility": 0.8031105498472849,
+    "branch_car_at_8": 0.5313535690307617,
+    "hidden_chart_oracle_success_at_8": 1.0,
+    "hidden_chart_oracle_utility_at_8": 2.0,
+    "outcome_ptr_at_8": 0.5333333333333333,
+    "pairwise_causal_calibration_ece": 0.25228774235838763,
+    "proposal_oracle_success_at_8": 0.26666666666666666,
+    "proposal_oracle_success_gain_over_base_at_8": 0.06666666666666667,
+    "proposal_oracle_utility_at_8": 0.8613873839378356,
+    "proposal_oracle_utility_gain_over_base_at_8": 0.05827683409055074,
+    "selected_success_at_8": 0.06666666666666667,
+    "selected_success_gain_over_base_at_8": -0.13333333333333333,
+    "selected_utility_at_8": 0.33003381490707395,
+    "selected_utility_gain_over_base_at_8": -0.47307673494021096,
+    "selector_regret_at_8": 0.5313535690307617,
+    "success_selector_gap_at_8": 0.2,
+    "success_support_gap_at_8": 0.7333333333333333,
+    "success_total_car_to_hidden_at_8": 0.9333333333333333,
+    "support_gap_at_8": 1.1386126160621644,
+    "total_car_to_hidden_at_8": 1.669966185092926
+  }
+}

runs/ctt_residual_base_context_obj_rollout_val69_seed0/report.md

@@ -0,0 +1,13 @@
+# CTT Generated Measured Rollout
+
+Rows: `69`
+K: `8`
+Checkpoint: `runs/ctt_residual_base_context_obj_seed0/model.pt`
+
+| Metric | Mean |
+| --- | ---: |
+| OutcomePTR@K | 0.4638 |
+| SelectorRegret@K | 0.3487 |
+| SupportGap@K | 0.5820 |
+
+These are measured simulator rollouts of decoded CTT candidates, not PPTC proxies.

runs/ctt_residual_base_context_obj_rollout_val69_seed0/run.log

@@ -0,0 +1,766 @@
+start
+importing gymnasium/mani_skill
+imported gymnasium/mani_skill
+loaded checkpoint=runs/ctt_residual_base_context_obj_seed0/model.pt
+loaded charts source=301 target=69
+generated proposals rows=69 total=552
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-484ea653bbca2de3a4a2 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-4b4cd12d70c0615e0930 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-6e268d1e2915740816a1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-8864796e31bbe93d7c5d candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-b04b489f4fbad93b65ca candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=LiftPegUpright-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=LiftPegUpright-v1 chart=ms-c663f7e73e7e8376a05c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=LiftPegUpright-v1
+env init sequential task=PickCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PickCube-v1 chart=ms-2458fcfffb3f96c6ca1a candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PickCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0345d8ac530f88cefd61 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0819eb89e627595e7e1b candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-0dee962a5901fb8b5bbb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-126eb8b36769f9ba4671 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-16661b2fd2c85f57a66c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-20e1efbb745fd02abc95 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-2dc5138251afd26a040d candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-387e6771a55be98f1a59 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-38f7298184a2c5005e94 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-482c5c8d208b5907a2c2 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-4da03300d92420e80ed0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-57be9ae181c077e7821f candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-6388b5d2356c556c3e55 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-638d2ba1917eff4d09e0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-652ad552ba98d2736620 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-674fad0e7c042d23629e candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-728b865677134d3788e3 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7ea98b8f4d2220347ee0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-7f57045c114ddad153b5 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-81f4e8858b2ba90aea2e candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-8a72b73ac452bc190aeb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-a96bca1ef0b74f686018 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ac4fb33f3ab4db853995 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c31b98b3d3702c6f9c8c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c832439976a37f52d094 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-c96b415f083f60857334 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-d73fd5fce55fb58ef8e9 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-da142025733b53fcf7eb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e2bad6e99e8a281207cc candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e30fd80adc089e9f697a candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-e9ed5d488afdfd6449d1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ec013396e4aff6170ee1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-ee30ebaf98622759d888 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PullCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PullCube-v1 chart=ms-f3f1d07cfd59b823da47 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PullCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-081952a63087fc8f83cd candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-121bc2e6676c1ac10911 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-22f153f0d4fa656018e6 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-27c9f70e97b8850cc3ab candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-2867deaca7e98582620b candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-365d8c6de6de16f66744 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-3c326d05fec66e1d6bea candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-4dbdc6ed61dccebbfe92 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-58950fed04d203b97ab9 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-651bc0395d78d2819158 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-9fad82fd288e4296e354 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-b8bfdd3e6c31bd98082d candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=PushCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=PushCube-v1 chart=ms-fc8084d5cd7da937fc02 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=PushCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3afd8959363e917591d4 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-3ff1aedb72f65a182b58 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-4048f8f6e047422e3c79 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-5b26c33feed6992386b1 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-63ac245579b1188935ad candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-6c8d06bace98a28a8e4e candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-72777024349c2aacd5e0 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-7fc5696cb3dc7b9bb9f7 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9a14552b7db695dee92c candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-9f5d57fe2153fd267774 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-b0fee26e1db967f90b81 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-bc2d3b425d9163a62dbb candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-d1960368ef76bbb10669 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-efdc07c985935d871adf candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+env init sequential task=StackCube-v1 batch=1 sim=physx_cpu render=cpu
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=0 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=1 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=2 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=3 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=4 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=5 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=6 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=7 shape=(1, 1, 16, 7)
+execute sequential task=StackCube-v1 chart=ms-fd2387aeed9bfc9a0d08 candidate=8 shape=(1, 1, 16, 7)
+batch done sequential task=StackCube-v1
+rollout complete rows=69

runs/ctt_residual_base_context_obj_rollout_val69_seed0/source_data_hash.txt

@@ -0,0 +1 @@
+67f7b4a692f7c7e71da24378dc71e3399c5d35afc14c494869eba6087b765c42

runs/ctt_residual_base_context_obj_rollout_val69_seed0/source_split_hash.txt

@@ -0,0 +1 @@
+867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372

runs/ctt_residual_base_context_obj_rollout_val69_seed0/split_hash.txt

@@ -0,0 +1 @@
+9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381

runs/ctt_residual_base_context_obj_rollout_val69_seed0/table.tex

@@ -0,0 +1,28 @@
+% Auto-generated by scripts/eval_metrics.py
+\begin{tabular}{lrrrr}
+\toprule
+Metric & N & Micro mean & CI low & CI high \\
+\midrule
+base\_success & 69 & 0.2754 & 0.1884 & 0.4058 \\
+base\_utility & 69 & 0.7181 & 0.5449 & 0.9239 \\
+branch\_car\_at\_8 & 69 & 0.3487 & 0.1943 & 0.4943 \\
+hidden\_chart\_oracle\_success\_at\_8 & 69 & 0.6667 & 0.5507 & 0.7826 \\
+hidden\_chart\_oracle\_utility\_at\_8 & 69 & 1.4000 & 1.1926 & 1.6081 \\
+outcome\_ptr\_at\_8 & 69 & 0.4638 & 0.3478 & 0.5797 \\
+pairwise\_causal\_calibration\_ece & 69 & 0.2266 & 0.1956 & 0.2556 \\
+proposal\_oracle\_success\_at\_8 & 69 & 0.3478 & 0.2174 & 0.4928 \\
+proposal\_oracle\_success\_gain\_over\_base\_at\_8 & 69 & 0.0725 & -0.0725 & 0.1739 \\
+proposal\_oracle\_utility\_at\_8 & 69 & 0.8180 & 0.5915 & 1.0681 \\
+proposal\_oracle\_utility\_gain\_over\_base\_at\_8 & 69 & 0.0999 & -0.1436 & 0.2862 \\
+selected\_success\_at\_8 & 69 & 0.1739 & 0.1014 & 0.2899 \\
+selected\_success\_gain\_over\_base\_at\_8 & 69 & -0.1014 & -0.2174 & -0.0290 \\
+selected\_utility\_at\_8 & 69 & 0.4693 & 0.3037 & 0.6778 \\
+selected\_utility\_gain\_over\_base\_at\_8 & 69 & -0.2487 & -0.4637 & -0.0852 \\
+selector\_regret\_at\_8 & 69 & 0.3487 & 0.1943 & 0.4943 \\
+success\_selector\_gap\_at\_8 & 69 & 0.1739 & 0.0870 & 0.2754 \\
+success\_support\_gap\_at\_8 & 69 & 0.3333 & 0.2174 & 0.4348 \\
+success\_total\_car\_to\_hidden\_at\_8 & 69 & 0.4928 & 0.3623 & 0.6232 \\
+support\_gap\_at\_8 & 69 & 0.6088 & 0.4128 & 0.7915 \\
+total\_car\_to\_hidden\_at\_8 & 69 & 0.9307 & 0.7182 & 1.1327 \\
+\bottomrule
+\end{tabular}

runs/ctt_residual_base_context_obj_rollout_val69_seed0/target_index.json

@@ -0,0 +1,929 @@
+{
+  "audience": "evaluator_only",
+  "base_candidate_types": [
+    "policy",
+    "policy_residual",
+    "anchor",
+    "base",
+    "expert"
+  ],
+  "candidate_type_counts": {
+    "expert": 419,
+    "near_miss": 838,
+    "no_op": 419,
+    "random_negative": 4190,
+    "wrong_direction": 419,
+    "wrong_gripper": 419
+  },
+  "content_hash": "1aacf9de98648fa36bef14e137eb43c7c6973170804650814dae41d09842c708",
+  "dataset": "/scratch/knguy52/dovla/experiments/six_task_h16_collection",
+  "deployment_candidate_excludes_expert": true,
+  "deployment_clean": false,
+  "embedding_content_hash": "e4374b56912fdb6814eb0320518733d1602a90e0dd2f9268f65c8a148751f963",
+  "epsilon": 0.05,
+  "format": "cil_charts_npz",
+  "group_hashes": [
+    "008d30588ad015db473bad0a71c13039cb1d7725fd6345f85f61b4f135a5914f",
+    "010f7c7c4e75115a818b44fcca59b1b036ccd9e3bef5c336a53008f8a7b0c90c",
+    "01349bd14e96a28b27485fa7b4152088fee51e14509318f34e89cccdcd369c86",
+    "026a5501ef47551172cabd8769a56ef391320107d1c27757256c6804a0bc52d2",
+    "029379cca8b2cc44b70649722a5e1a91cb6e609ca2ca13f242e01ba12bfca76d",
+    "029627d900d662439e83a0985be181083aee1388afd0887f6e0fbe802d8d33f0",
+    "047b5299a16717c2aea07ceeb278229f0b4993fd8fac84c7c7added14a47ee77",
+    "04d0793c098cc4e382d401ded0ea3d56c9677d2ad834b5901da53ccda9e7d606",
+    "05989b6549b3ff8e8e6c76d5ac972447f33600ec31b946a59777fd915ee136f6",
+    "059f2165f0f92f81ec8c873a978423ce310464a3cc27b1b08eb88fa7d5a5b3ed",
+    "05ec227fb1c3e112625c754c648e95e326449767ace3e1602902db3ad71e378e",
+    "05f2d0050690209c8abcbbf38499e0e195f5fe9078d5964a2fa4d351dc340a4f",
+    "072314f777216049af237bb018df2e562ad21accca2928fc4a1728c4c0a70dca",
+    "0746e4881ae94e6843c1d7e85f889ac5196b2a58ca2f1cf5e2c731735ccd70f8",
+    "086e7180f0fc674f6b011339a3ab06feb8a4d914744385734c4af6938d63ff60",
+    "08bce62400dec82cb7f3de6cfdd7e831fc3733bb7d920e8a13144702403468d2",
+    "0a68ad44f481250311d0f54d46938b1fd557893af5d9efca367ded1c61e3c2e8",
+    "0b50e4bf134f6df63b79deb0d5c1e8428d36b52ac3b97260c5d2d3f3286c025d",
+    "0b5309f59e3b116aaafffd79932bf558afe148cfa503ee100797c472adbb66dc",
+    "0b677f82a30861323128c400c43186f364d115c3646f77e0b5b6fbd9aba93af8",
+    "0b7b725b4ba7064a7598c6b283e2bea2f81f95b08e5390df39bdca14cf174397",
+    "0be3d37ad2ea7b9c4768dc6be2b505a8569caafe7e3c850bfc5f466cb00ac715",
+    "0cd039b28bc0a289515b0552105237c97f010ea8f52f1d79d15ac23b2c5f51b5",
+    "0d02743f28fb0fc84f8aa9b502d34a15c82714c2afb9c8ea8a0e2731a134cba8",
+    "0d5ad7cb6f339dd2b38a88d486f273f01a85efad9cf16205236872fce6299e6e",
+    "0f0804f0ceaa4f105cabcbe15bcf37c28c8b2deb76adbc77d10f106b31d1a19d",
+    "0f64d8c709a8f757bc9a972ac48f24f5f9f618bc9dc10c00bdced3ea5995cffe",
+    "0ff07d6f8629a231fac814ae3f8a9d18d9f2d5a5d3144b16a20ae7d1aa202cf4",
+    "115cc5a336dcfd42aaf2e70e91399dcaea0c67511c2d2776f0583d533f3ab1a2",
+    "1214e59fe6c7a0a2c552d75d76556b94ed956f9483f43c23c9c918ef74bed5c4",
+    "13bdb78c493f25aaa60ae00be517b8d81a019edd3fed9db1d110730c682cf077",
+    "152c1154221df1c61379262f4431935a6643a8b056939e6067a24277dbd95144",
+    "1736a3e41589f068c5583aa47361c5a65a38c756d7c83dd2b291e533f8ccf29b",
+    "185899d72412376f441583214f89c8b4f5919141ecc7d26040d421ce38aa827a",
+    "1859b39dcf1792ba35aae7f6525f1c5bebabaa6cf96764b6d91efd065b7c5b72",
+    "19164061e9741ae8144c089d22914c6687147fb1eb9769ac6138ef3ff3aa3bd6",
+    "1985928f34b5eb98e58fc7b2e0ba76f219326d56aae7e44d5e05b7c0e37a6a47",
+    "1a6b5ec8a4bba5d6cc47c74786b709c3f7fcc745cecf70a73dab8b5e1196081a",
+    "1af3466db9afc8d2081db54c173835b8ca6499309fe4f3f3ab21c9e73e73c360",
+    "1bd01f63cd4031a48713788ec00bd2f31261029118e648e055cf33c285d3ed15",
+    "1c59c34bb7ec1e57a6c4cb6b99b155a268a5905621800c9d03e32626d2aaedc3",
+    "1c84f9a3ba87babf7017b4310f0995d45d5e2a6ec3856e30afa5792152a078df",
+    "1e0dd390e3e7b388f54330562460b0c813e82ad862d26c66b42c6c3d2e46e2bb",
+    "1f7225e5a9e00d9ab87b51faeb0874623ac983f56dcdf4a855d0da29f861cbda",
+    "1fa325165da53abe38062a07aba9d719b26a7e890f8663f320ba2eae96072d14",
+    "21707fe0167d5227f7f416747410e40ae3f78c6c2b825361ff3f3091d56f42f2",
+    "21b0c38799dbd91817654ead09968002f251beb305f2a0dd488e70665cb691e0",
+    "222b477e56cdc6dd529442698720ed23b2fb6089d0a934ed3cb97104669ad1be",
+    "227321345173cebc9198ba533e27dc7f68bfd22fe075783a60ec7c32a37ed68d",
+    "240fa7babba75db5977aa68dce1f0d77015a455839915d71ebc76b252acf7399",
+    "24bf7cb1b06503ef7d2d0d33b11d92f096a2d9f043ec3454dd24190c2f447410",
+    "26ac77dfd2a9ee1f8346cc862a4c76e04a552d4bf09a95dba0fd72e86c22d544",
+    "26faf0b54827c513fd7411133f3d655c69be1762be7262b7c95a59a53c8e5376",
+    "28ffdf18cab5b40f176891bfad5f86b67c78fe0a164a773f0ea4c9e4eb3e2e89",
+    "2974927c1ec6cdb00ca053ab7064ccfc1528d35084141b0b55baf42bd1679e94",
+    "29c243497d2fe43220d59c5689f78e8fc25be720880c7c96fe3bb83cee571730",
+    "2c519a92b9c61870a25bd465e387ddd56cf785dac01d3d799f1336071a688cf6",
+    "2cc11b7818e043aaa695b6cb39e23ca678666972630ac06f4f9f233d1f7f0808",
+    "2d3b45195ad9548f6d927e45edd80c0472fe6b99444d7bae2078279d94f38dcf",
+    "2dd4376fd28fc3d5be4efdb5e4d0788a73c5e2e017433df7afcdf4e295073e71",
+    "2eda514c8c3130822ecfb887b782233433591d277b4d5544f35869951575a3d5",
+    "2f62b63771280281f0bd7b76aeaf94b18feb3d9e77d5f4c3e6c941bd1b24f682",
+    "2f6c7e63a96faafb2769f3bad09af0dfb334b7572bed6de64bf9e9fe48a46bb2",
+    "2fc4bcded9e3b5488db04aa8d76d91801cd086ca4f9b1297717a52bc367e9b16",
+    "2fd10e31d0173bf7895979bebccc703d39b3bac009853985801006d7d6e2005d",
+    "300fe4259c0457ea26c5c5ddcc0ddd771457c628008b83e328aad35d009a7988",
+    "31a5cc9dd9197d83dbbd3d3ca4142fbf28b2fc8201bb741270773cb1894cfc7b",
+    "320f6a196e59b2b4edd608ebf7ee79f17c8ad5466630843e775035c4846b90c7",
+    "3228ee331db1a462dda0f3f48e0e61c214e7605e1108cce578ea5f2fd595f1d8",
+    "333b07c20959eea559a91f453fed7eb811df3829c14be6ce7a0f2cf0d2b43920",
+    "33555b978758146c6ef5db44724a5c7d0c6bd220b6f59563564431729312103e",
+    "33e88827861239c6dd5fc396fc3565daba3dba151859cb16e84bb12f27cdecf7",
+    "3404ffd881c45722234ea44705c34a255fd4c7bcb8bf6bac83c63d67405866bd",
+    "3419d427c11b72a992314179016bb0a9148e4e87233c09d9a2670db8fcca245f",
+    "34fe8be6a6881aede4d578671114f9ecebff8022ff512590dcb98d7eb56136a7",
+    "362adb9e2f87f785eea8ff421cc49108735a1156b118db43f7dfb3640de23566",
+    "363bb1c2cc2d0815667febd486acfcfbd569db438fa75e5e535e1533c735964f",
+    "36b9c0d8e8dbf42d0ecf7b80842f7ece7e817229b8d9d81b9abaf789f2c84bad",
+    "38d12b23358dd923d0dea27b84fe3be71eb3da4d43c60a7437fd0d79429cc151",
+    "391a987cfdc35a7003584b41e687fcf13b3ea16a0bdea3579e38b9b68283dbff",
+    "3975173592d19589ee2483b3a9c729a1b09e357dcb9b99289e91e364a55d34a4",
+    "39e42a7c1b6df133a041cae19e34e0f2b67091d7aaa9fdc857e8141d1a02e0b2",
+    "39ea289587d7c4a9fd58e23fb6d50bf46589a1a9d30d37f385ad74547d61262a",
+    "39f53df98841de6d36ebe7d912d78c71b7a4880cc7bc08db0e52dab1678006fe",
+    "3c6ca95fd406cdcabd3371a318249e933f024d2d96c627aa2735a8cf7fae7804",
+    "3c90d5d7da13b39be123adb5d07405cd5957e4bfb7c514020dcd16c358ab80c3",
+    "3cad974195456ee5a2db5145a90ca0f2558e212a4c893a0616803f4b58326e77",
+    "3d546da4e682f1e5e2e378874bb802a821fcf1a2cd8f3ad02fb4c2c2539ed504",
+    "3d7dd030d76915bc67fd843d4a0f7f16e93fe56d1ed2dfceb77e3c1e846aa2a4",
+    "3ea9916cefe474f99143e9d69e0363de2625d9ce34d093043f1731a1a36ed598",
+    "4085a47a2f6b662206c0c7fe411d7b713e52f429bdefb47b0aee4f7f7eb40065",
+    "40fd8700ab3b156b4b0f82ea40b48dd00341dac9dea27e31a89bb53587a81fc2",
+    "4177ad99c83f31a03223c2c57ad0633ee8d930604b5da6143288bb9d95a073c5",
+    "4199a7885060607ed8db3b1218328efd16d4d2ccf80bc1a81d0bc590ebed3232",
+    "426e498c237a053ceccae427cb0541c4b237d508b4464f772fa89f78625b4120",
+    "427b4bd0585c94622bc045b12e05ac66ac352697c428ca2962489b2e099e099d",
+    "434cf031465e32cc99d0be0df1be0e209bf206de47292393be87ae541ffaecc0",
+    "438a37d6b4bd0e2fd1adfd430acdf90e336993bd959f79d5bf71fb37a825150d",
+    "43ceee1b0eca37c6537d26a22ae452abb5881e096dcc2413a056be46ffceddf4",
+    "43d3ff2bed6137b1430b5b5a3b10e54c39ecddcccbbd9a41e9a16ec6604be4cc",
+    "44632cc411cf104f311f9118f831b8b096458e112ba5644c00e7c4c230cfcca6",
+    "44bb557346fda02484ec041ca21fb14dfb3de5c9721d5d129ef0e9ba51181358",
+    "450ebccf76e662aaf43e9bde1076c30ef05eb7a7ca03cc5e40d242d4088010ab",
+    "459c03ca4b12a9927ec189194a6dc2732521761d69a41490909503ed15d0be51",
+    "45d4b64e2aecad1a79fdcc592484933cf1a922e6ef3db9e9aa626ffe9e4607fc",
+    "46c00e829542ab0f4441761c7a1c22ac053712d38c1f1cd57bc6bed307e62feb",
+    "47416d5350e161048d0d62abae130ee6e13e620c1453601bb68f12566d3a8aa8",
+    "4884708d82754bea1caf4baf09354f1013b3932daeecfa07713ee2ebc17ad8b5",
+    "48e3602d53ab14882fb5a3fc964efb696a97b153329b4be01765b62164b31cc5",
+    "48fdfb473480e244ab50a0aac797379a1d447f455569fcb32d54fb3eea07a388",
+    "49c4c3c498d85c4b459939a083610984c215e633e361f0ccd2d6e11fa3fbce39",
+    "4aa7582e97431f30c9db15f9ed5bb7568ca31cbc5861c2c64abc20827ae986fc",
+    "4b63bed5359a285c67e9ff7d84280f7b0a40c641104fa0a1a50af5ce0ca419d7",
+    "4bf3a488c5402697c040893291a578005cb34907d802b68844fc5774842462ab",
+    "4c6d7902a1e22b2bf6f7f4167a860be5ed39be0aed7c909f23dc649a728b3cea",
+    "4d0c7ab2ff619a787e1e947cfcf1c100528c47c16c90aebe19e3281d5747a55e",
+    "4dba02fb52c247ab7473ed24861f38cfb281456a57a480e4d64457180ebd2f70",
+    "4f81b09cefc1d9a5f91ae4cc1d5b2788c7c0e0b384e17512e82d4bf023c24999",
+    "506d3395d1567f02c0c44436838ea9889d35976ecbcb7ea30f9a50adca34ae3a",
+    "50ab237de0f3ad4f4d676158d6f474657d272f8ae0dba7ca4950f917c0233b85",
+    "50b8547d0dfb7ea95945ad82c54b630cc3ab54e0ab01033a9f19166fa41f58d9",
+    "50dd63169fcb6480776acb6cf689077b9fe565bd6acffec4e86bbe8b12411424",
+    "5196ffdffe946a62f4500745d1912f3fdb667cf7cd0cafa5ae7a035b896db048",
+    "51d45b6d1badda9da12208d1b9a1ff775403485fda5a8652a0e8d7d499f4939b",
+    "51f1b9dd8bd0de616f527f8848f95818854511884d434a2b394115e1bcc7a070",
+    "52479f35626dbd059b00c6c86e23379ab399d11ce8042b4399b3bc9c099fcc2b",
+    "52fee2dc2bd87e3c1a6c0620c5c627b2cc30490936440fc6122e0432b983f5c4",
+    "53d530ffa92afed3ce280ed6285c4888ba3bb59ff1cbd07fac523a5318f00ec3",
+    "5480d25e04a50a517a951793e91afcdbc3ea583236d08af15ca500be17218b43",
+    "54b739816771589b437a20ea18ad6c027b5bc534aa88a3be253cce7a37acd3f1",
+    "56137914bc27ccc2862b7a1a1452b01a33e6fa0d263c6afa6ab0607d40a8f099",
+    "5741844eeabbf8c6c21ca90af591fd3c50da313baa957a4053557992b8cc4866",
+    "5747a957d9972c2d47c89fd759afc4a8531a338971ce57954a785f61761f57c7",
+    "57acbd0e674472d2028036494f2e7e3ef2d052f4edac55fed900c1dc89f1347d",
+    "5897e01933db895c1bcadd473c11310268cbf5caf38c818f81d4bc96e93a4f10",
+    "5910b96219ff6c27133fcd192fdbc1c14b2930f1eba4593f03a31db8b7e3291f",
+    "5987281f5dfa9bd2089a2ca5da16d8ab94bbc2b908f1d04bf6548d9d79d6f0b3",
+    "59d30ed358c5b684b4eb3b6a32c5c62986761e80d85b519e1a48f6b639ccbbce",
+    "59d9238f47488e2bdd936a0d1c63ea4e763e511fb9b5c903862e239c35475ed4",
+    "5a678af69532034429641cbeabdcdcd84eade06b83dac385dd6d8d7ea36195b9",
+    "5bf1b42a54729b348c61228315ecb19a7b2ceede4d0e7b8dc9afa8891bc81d58",
+    "5d0f3f38df807dd181beb9335c96aec831ddabc4d9a634aa7c54334ab16c1d75",
+    "5d4e9ddcebff2ec81105e8ae79f57de3c984200f9994e88c466a0aa07c8e1320",
+    "5d515949f2580c7204d7e0ea416bb67a32d528e4ff3041f37bd94c08b56c5357",
+    "5e418b7e9d172a9813cabe7b9bf34c168db366015d182770fae70f0ac41422c0",
+    "5e78b744add77bebb64bcf18bf09a83d5597e058afec7410d5da6eb169100c30",
+    "5eac061f4ceb6a0fc89ae4a1cee37ca22bf27174233561d82042b577f736242b",
+    "5ffa8307514fd765cae152d50388c2481438d15691116a76f78c1fcef9d2ba57",
+    "600b24bbb9011d209e230efc0651ecbfdf9192844de83e795d5993ee034c8f06",
+    "602956f2c532b51b46cdd0c64db43929f489e5804e760c69806aed0e26b3514f",
+    "60c343e6f949a3098f6f33740971af76511890cd47b68c88f7ce1894d6d46b0e",
+    "61497e92cfa672eff759375d67829981565e5be07bb87bda0caf2525f38171c4",
+    "6214f701d647152e08612cd72bd1e15b64329676d053324533b8c928d6e6c9d4",
+    "62f0b0da66a12c0b2bb3b7f1324906246d8aa8c22dcf738728d169df29b85cbb",
+    "6349e990f1235293d2dbad51467abd02bf7dab9fe63a77e1f5e661bb5e1a1672",
+    "63b494c4eaafcc2da75d4d1235d198b3c0b0c06f6bf762a6a5fc7baeb1a9e385",
+    "64010a7e425884a51a7a5195beffa3367cb63dc05d7d9af85e6089f959e7e589",
+    "64bd5fbc7e70465034494d5dd5147ece3426224ab802b7051041606c9af60ea3",
+    "6518e953250447419c08c59d2ee155fd52ff507b28eeb3a83433bd89432a37ea",
+    "651c0e51e5e9e00565b3824a7f42082fd052a2df3b8df4e1caee0cd8e50e90ce",
+    "65afb3b6725976a6ee42025db81e84c935fdc10361f657ebb33d9cfdc442d502",
+    "662a3ab296db484aed6b385a16f29bce8467cf9e45bd85b7d4603ef7aa75a911",
+    "665000f91e6250f222e1d20d8821ac20395c23127d25b29b2a18d824efe5d95c",
+    "665b59a56dfe89b21ce7f3e1078d4070fc5d6c6aa9c32fc101782b87c94da10e",
+    "66db6cd423a630f043ba70653d9cb2d3912d39d74ba20aba42f4ed49be24515c",
+    "6707e8af129b5c01f0227ea9337cc805a44e08594231bff59fced200904b68ca",
+    "6762618ec7b24c3b7302187e22d53c4c8fc36c5479d927e7b22f82df0096ab81",
+    "68aa926879c32f5120a16375df788268f6d466b722c653eae0cb489b64c2715e",
+    "68c7948e1397aae7ada0e711538dbde0b894aeb6c65a2a28b789072222c7d04b",
+    "6978f93cc00cdf51bfb5d79aef73aa1e6d9cefa78fa0452fbd6c7d536692e095",
+    "6a4016ddc183de9be99d891de4af7b52506be085bdbd7b623afe6ae67d380743",
+    "6aa36251dd6981548c9da087d57cdd769ef61ed00e6b91d9ef9ad66fd8042151",
+    "6b317d5548424aa5a1e695f983622fffea91e6839ad1998a13000c2510316cd6",
+    "6bed9461397e0217ff6532c954a833dc28fece0cb46e647554a189e66524cb97",
+    "6c583b7ca612a308e259dfa946fa8cf45fc8b8ba31262221f833ff3f44783095",
+    "6ef52217b53a0484ef0bc7e133620ce5236c4268111f9f9e6562732ddb3c1bf4",
+    "6f019701fa2e5327cdf14bbfefca64df0f5aeecb6928fb52e5a01acae8633fe1",
+    "6f25c0d6d8191dec23c8d22c518212f1d2507ad4e3d4e4ac34869a5e3d988cf5",
+    "6fb7eb6b8b430c8ef441afd0ace15a4c42dfd23b3ac134c399abfa06390058ea",
+    "7258d7dd2d99620e2f9563f387392f056353d9cd0feaa9065c2a8be194a95f91",
+    "730b0ee7d1a69be505cfa2d8f82ef12619218566820fcbf2c2049d781cedf6ad",
+    "7345a52d3dfba26a5528debf07f380ed05b6e5a1dd313e7e108226d74edb2724",
+    "75038a8ab21048d173a77df2a2d9410cf256f6a587ef333f82d545a2b0da5495",
+    "772ecbeaf77547ccf7b918354bc234fffe749626c7bc4b6644544711300e3795",
+    "77a5e2b24fd4ffc2325efccbe53d2d0af89831ac3081665825a5d19b0f99bf58",
+    "77b31ca7d2196bab4fb31060a8c79365e306514ebcdaadc089a12ad03b7ab734",
+    "77da10edb61dd80d381746bfb7929ee08eaf96f64b65f535695e5f076fce2861",
+    "792e6b2c4a8865ef31fdb6e497bf4c8299a0cefa2fe47777c8b20dc4be86fae9",
+    "7a19124e06706c046acb04bc05c52c019ab35a5c0bc2d9d48e752d4ae0942009",
+    "7b750fab861ef3d12d2b387ed46455aa8b65ad72ade5ca7d253bfc8d8408c160",
+    "7bd6f159ff7920fed389c26281943a38f556af30c29d4aa402d5d1ad808a39d4",
+    "7d913b1ad623536ac5812120629dd8cb0455511983d5c0d1d26277b9aa0b5105",
+    "7e010a7eadabd6135dcbc0a81d71a0c4a40d9ec4d8e4a41b9bc887d64fbf8c8a",
+    "7e030ac9c9322183567b1955bd4924366422f8ba5246e22a232e5932702f2069",
+    "7f64fa79eb60a5f4b50f1b33da9b9b3d99737cef21da808c825c33092615cbc8",
+    "7f9ff6f99c5de72a9908c3fadfde6298fadfdb9eb36c32219e4a7fa10892f642",
+    "7fdaabf2a4be809033161efb0bbc2828cbefe75c439216450b11d705a706a1e6",
+    "80bda934d0265c977e22f84b9a47bc985de3740895abeee0e54cad76fd791093",
+    "8196baac48edec4fd98a232dd60880cfc89bfb76b772d9ce7c857a4051429a44",
+    "81afc453735d484ff81d6fcb46b6738fc9de062504b255a5d366d15833b2b93c",
+    "82ba96b0db417c596fbe2c6f05edd0aeb2e82e0903016792d0bbcfe6551bd17e",
+    "840446c401008c1f4f1b1f82237092cbc1a020e55cc02ce94792c3fd4c4f4ee0",
+    "8488122d93a4ca2429fe5228db45ba7185a2290931adc5c1c99e8cbab534ac39",
+    "860f89295df9fcc82bbdc1b569404fbc284cd0db6eb4aedac0d72ceae19e27aa",
+    "865a93b7d07abbf7233f13edf40ac7ac9c8013b44bb5b1d8f56f6628c9db00e6",
+    "86d9accc836046ab5fe18c08db4a4d0d5d65eef66c487b81d39befa68a892c69",
+    "8744f7b069ab27db815e0d8ddafb255992a61c37084b201454809d668506fd34",
+    "8755482d237160251dbe35fe0020ba85c14e541289f1dec4f6494305fbd8df89",
+    "87a181cd2f9e280ca7cdc7f0fde3e07112a363891302d8682860c081c35921b4",
+    "87f6acac31dff38cd80e58f8371fff6142712d897de20092d418c4a430a80633",
+    "88a012cdc526b418b4aa88816d251083f4853e870482f8e924e8b6a8af8ba731",
+    "893c75484cb41d8965549dea2b8a2bc089cb463a1e6f8469546dc92c8705de39",
+    "89d95882eaacf6f7cb28c46b23ba22c3ca11986ad0365890f461a800c7d087d4",
+    "8a41d9b49b6fb8253d7df35219e7867110656805953c6d665f128bc74765ef89",
+    "8a6dc00f6e7e5cd26234fa4eeb4d15a8547fa593afc36997459216137d1300b7",
+    "8aab254e85254d5cf1f1103bed51c9cdf8d6e287dda1b267b7d2adf0d513eb2e",
+    "8b7b0c0c36a755ab9fdc1c810ccf6abe54e24c1fd381c8da44fe1fefd0d05d76",
+    "8d11dd1ec76d295ab531cef7f05a62c5e138f2084880886a78c6855f907a19f4",
+    "8db7ec8b19bdce5f9886dc235e95546452a592b45a0e0377fae405b80564eef6",
+    "8dd973f2ade114309f025349bd4852d7fb3fed114871ab48e19583c48260626b",
+    "8e2579fa847f97c9029eda36fde5da04309c4e42188364edd4ade1cafdbaa213",
+    "8e94f3617db242fa9ca8ec1d20a20134c46fb1301f1c585863055e5e1ccfc87f",
+    "8ef7802d4d36504e28d179e70878185878721e7aa7b791aeb9f4510ae926e73f",
+    "90287d800986804804b7ef7bcdeaa94888d09b6329918ddc0136dbd31c7ac8c0",
+    "913df90c98f124b2ac5f5565e5e86e1043f79f34f1c6410e7843886c4bfd138a",
+    "9143d67f035c7c08bf56e3bb65f4d597492147e3bd06e575d05b9617fd5a2e6b",
+    "914a0ddd825254d368ed88a4e4c0e1492b62b685b54d43a74eb809c21c0b057d",
+    "9155e1827763664471baf371a8b288f53632986039fe13fe8bc519af27b7448e",
+    "9180decef7665bdc3dfc930e38fdaa742261568d8a323e5ebcbb5dda83ab7435",
+    "92c3f4c9a5c73d021484d9c22b11dc3f0a5938d92e8b4a3ac29a540daf62cdae",
+    "93308310bdac1dc182ac074cf0f452d5857412a3dc381d6adab000413862c294",
+    "93fe1b775c9d5a005b4c24ed4cdcbeace7c443fd96acde340cf37531e0d958c8",
+    "94adae68e8f80732228ddd487310402d7af461be7ebb5f483fcc14fad5c84368",
+    "954022aeea5a16063fab63a3400d1e5ae2e4c1cf3af56c94d437dcb613d6eb9e",
+    "95848d52f9d2b349485284334c4efe48bc0c9d0e4f3993dc3fa0b93917c0c794",
+    "970ae009f20045d56e65f7c177ebc783dc82bf777b5dec048d9ffb62c2e7073d",
+    "975adc9af6b12272dc8484adb4210f1137470d6c77b2982cf4809f2cff9b712c",
+    "980d048a07e2ed128f0cfc5768babeb12f7b8c1102dd264d40304becd711ada4",
+    "982679e3e46a917a3cff3891b491fba40130ce6ec338858450dd68b6dd6ee16a",
+    "98d2821446cb8cf7f5342382fc409bf4e1531234751095148028095c4d68c0b9",
+    "997b672b7ce7473d2751343cde3d2aaeaf840cb344d368ebbadd3d2205a3f079",
+    "9a0729ed13e288c93f267bb3557f4698a73ed5aa31a55a8e84b558b94825f262",
+    "9ab25a8cc539aeaf87f23200ed1c3f9667d44963b7f6da1e903f16736bc509e3",
+    "9ada1587db68d41c577e46d5046862a766502fb2dafa18a139e5f797b035c295",
+    "9b6021119181becda810b14ab492087af39bbb14c7b7a73d51f6e9f274aa83eb",
+    "9bc128b3db4a990e7db2c97b5c7761eb5452183da0e8b815fe35c85de239251e",
+    "9c72c21529d08c5069a521af5f213b99dc9741ab154c07c3bd0b4937801e6cfb",
+    "9d09df5c56e375bc9454202fa81f76636c4357c73e2f5000368c4300c30c9d8a",
+    "9e25bb1895a025f06794aba14ab0cdbbc2d4c900b747d42d48957a823e0bab5d",
+    "9e71e5498441b4b84fda9d4a381c841cdf9dda4efa3e0911ec8866e7fb9a9d6b",
+    "9ed736060546283eaf7a9e6d7f2be31ab3cfcce0d01a7602dc9bf3311dc84567",
+    "9f30c7f9e60ba8535bf2d90500801f28f4177b66ea3a2366eb50ef7ff7f9b9db",
+    "9f3b2d807346a6cb4c758c408fef30a978ae8b2b82ea419f13d447daad058f5e",
+    "9f9a2aec986ef7f8a6fdf55160dcae5c969717a28c50a5bd8a3b46bc0ad415fd",
+    "a00ac37fd929bfad607c2c6799f93375b96a8f3011cf2f49ff9f47201ca01987",
+    "a12758b2b9df7c5e40f379dbc2c5374e2fa0508e5f21c7b5cc38dda34dcc7102",
+    "a20b63cd6f96f12ec818d2ee4b0e6f2017b73aab05981d5a46d2c466e7d82432",
+    "a2727388face2b4a7efc7b6c58838a198a9e1f420e0b8852b925386e77a83f70",
+    "a2cd9da5ec1623c7aa739bda183c8101f171d8713dcd39db1ac5871ff56b4017",
+    "a5119d9b97da13e0e5999ef6c91227ce8a3b17de9bb77acf4abec2e00259b822",
+    "a544ddf0f57c78a44f54dc946cb6885693ed7372a89f15bd914569f1d9849ee3",
+    "a54c68ec203d07c2a967d02825037471086ba238263be088d59d9c7f00612ed6",
+    "a5ba2e61cefc84d8908c6b2bb830d91790177360ad02b3a744c640ff5b45d6df",
+    "a72c67526742bf14cf400ad3515ed8b87c2fc7bb4f95070a0faea29c8ea984d9",
+    "a775848264bf7b4a3777a556d11f38e2994d92714c0c7734b5a4d46162c84226",
+    "a83bf42daf636e7a77f77955757dcca4224440cff075bf7eb0370795f9d8663c",
+    "a93f33032986ce24e99eb38f10fbd9a62d75462d5adeca5b4e236cef0836bd90",
+    "ab78cf2c57454d46dbd7fea49f3293f01e7c6dc9ae10e2eb2b4fb20a3648ecdd",
+    "ab8b5ff6eae18b911f6e8dc11c2a34f65b1c9b6d116c91a00b8a8792096688ed",
+    "ab9e518e9c2bd1aa4fa1e395553620371f0c79804c89f5daeb6ce18d5b66af23",
+    "ac5ecc054864495a34f0b9a16a5473b786d7497474773dcb84947ed204009aad",
+    "acca44ec9bfa0a02833526adbaf86c7041a0ac281b28cb7ee91f18fd09b078f9",
+    "ad8f425b29b9b12876e4fc5fd18c3f867046ae41c81ec55cf0b6d208e85dd742",
+    "ae3fc0f559f37778cfdf27f640bd35a16aa6b76c4ffecf8d42baf37e4a5a7905",
+    "aefc7849c632d4044a926f20f1d94b82af1b7ed6dc0167d2cc249b218a343a93",
+    "af28d652f179b9718c6a9a9e74f9e8e7f12c437a5ad54a75d80a82c23dc8e644",
+    "af82611bf1b54c6df4bc9285d7264be4ed86af1711891cbdf484def25a7d98ef",
+    "b0ea0f0cf25530508c4a9f67de55afe8038355b7e0b860af7ba9f04aa31a3e06",
+    "b1bc36c06168dda8d850b543cbd2d870694b4869230cd985b20dc8b6ca23c1d1",
+    "b20791ea51ec80c181aa6a54ebc7d1383974764c55ee7dd3cb3cca64948266b9",
+    "b34c178c6a7c97b598af258fa1a791d9c0c61e8432517e3d91953c0cde131d7c",
+    "b40f7a9d22cda22a063bc22dd3b4db5c3598a98609594494193ed48dc8192cb0",
+    "b461e54387e0a47ece2b22c3dcc65391d86517ead678ec33a5d901fbbadc0926",
+    "b4ccc21e5ea8003a945bf634d6b800fc44eee0aad713f12e57e1984c525a65f9",
+    "b714c7af15a1b9b8b710eb5c7611595076321e58f55c377e69c9121093522bcc",
+    "b8004aa52a284d2556c496f43d30dc6fb1cdd091695e1e50c1a90f0d65f92b09",
+    "b81b7e5043ba8065513ae1e47dd72ba75abd98d33e82a7ca7e78e051cbe43cf2",
+    "b8876098ea9a407eb70ae6ec08951a4f55579c2e0c08716a7c6cc43156beba4d",
+    "b9285dbe600a0d883bb1a8106ab84908e1daec78d16497c41f6d64424cb98313",
+    "b97e8fd40a8dbf94cb8e2011dac90a9480e3f112d431fc70ab75ac357644f8e2",
+    "b9b5303b9443950e596764e3ab43ba388dc88bd9e9fa4db7feef060ce896c62f",
+    "b9c2abe9f6ecb2b7b77d64e7191d9ed09a36554e9421caf1b2e65c5463365230",
+    "b9fefd5cdff2e6c28088cc0a53e346a2c097998df8b6fc297222153e1daf65df",
+    "bb2bbefd2a016c0ad8e9e3e8858cd69d918f0eca2138b4f2289c7afd8ac1f4d6",
+    "bb30b5791e4307912aa9adbb690455c076e533c6285272da8d12e78f51db283c",
+    "bbf53aba9adeea04e3f958a95feecb13ac2d29b45a69478899314a996c78e544",
+    "bc6192bc3b2826b4e1b0b4d086536b6565c66d2c8bd66378de084b53625943dc",
+    "bce154fde165db7793c519eb7cd7b398ff52e9cd42578142e5c8ee8fb0656547",
+    "bd1dc7793ae70f7d999d0e13a56b492cda6f3ab0de6301699294ad15b001ac7b",
+    "beb32919cb900c53a3953442a5d071436449a4b9ec5b2bce6056f3d0a1f87714",
+    "bf6f5ac70503dd191546b89ffc869bc3e28efae51bf05ec330535f6e5286e301",
+    "bfc5863c1a54513bc8256de6b55beb115b2fa384a58f23530fcf523dcbb52e1d",
+    "c0b1165b54a3e58bae71e154a65337aed1918c1d065439d9a3f9d65f7d1324a3",
+    "c10afbedc26936296433deb12073cbd34317fe0ab7899c916c8cfe4001642ac8",
+    "c14e6d6cb9f0b03afcc8cc196c3a29e3e9e2306becbe004eb2313e306cd0a74c",
+    "c17f9ccd9fd2ea3d7d9230a42289690c9decb88e0a880a42037a79e94b100e02",
+    "c309e10ae79aa8821732639fddbc5af8d7480dcab2d0316dd331ad859a03eb98",
+    "c390b96eed7402670db4562842a2aaa9581848dee1538a66faef88134835c045",
+    "c39690ec883cace98ebcccef51fe48fc75b323082a2c0ad951b40531383a9717",
+    "c403e6f15abb1ca9d51a883ecc88cfcee37d64058e19559d87cc8e9659369ddc",
+    "c628c9f4b7dd0a2931ccd0a68cdb70335c49d125adc341c75ced526e0b5d7439",
+    "c66503618c5c0194e190365bfdd6f18fc85f6e8b14f248c0724575689225af85",
+    "c669ba0197f300ec35c9cda7a239e8a69e73488459a625ab9476b09624287715",
+    "c9ab26239629a397da5a94679f176211063e4fabfd3c41a2481405a5f70b2e71",
+    "cae0fe58a9afff0750883faf68e9d4ed511d4adf9f799828e6c7c331d0b2733d",
+    "cb0f5ddc19e8db59d7affe16f76ef2585cc9a4c992ec4aa144bd25fbaae42eb0",
+    "cb42cf2a13ecee4f5c3585d182f1a5e0172acde5cdb5dca20df348c61d5707e5",
+    "cb7117229c57ca9d821d8ec24d4a922d8348a5fe3325939bf84dfb18f11eb5a9",
+    "cbde24769f686efa9b3c354173679e351c5ea0d76fadb3e69593a7ead04a1ee7",
+    "cc70ac956671e95234876cc83614c2f88db9110ecce9381fd0ee64803b299429",
+    "cd36b417bafdabd7721c88c17d2c29c33e9a11cc0594f52a54950906d4a44fbb",
+    "cd47f108a726fc44a0eaaf3d4bde604dbdf8c41861f2c9a64ef11c7a36c8d6a5",
+    "cd4b3470071fd954fce44c84264d4bc9e61790b37d2b5e9374efef01316e6dfc",
+    "cda1f2569cdb637d0550db64ff59e80ba7330792ac95484c37cb0e3d113eccf8",
+    "cdf79c0142aaa8c5353ce2d676a01a9865903051dc987c8b73cdd73c76ec9c23",
+    "ce43ed1b892a3a7b12e0bcadb397a918718cd979e9e0795395c986f56bc2a750",
+    "ce7c329ebd2e1b1d9bbc17a9b9b74bcd914df56e03745413b6dce38eb4772bcf",
+    "cf2039c1d46672c9f9a5515c3d60575e6be00fcb93c2cbc1477459ff50955ef5",
+    "cfc4f4161ce90cb06c135ded875919f4675c107e786fb6adaa9070e9fe56d34b",
+    "d0ac396c83185c55d031ae1fbfa33bbb017d14a316cabb55503b6fe772fdee36",
+    "d11329eb550769a78aa2d9f8be77708dd9ed7527d706dad9fa2ed230fa38fe5a",
+    "d140b4148ccabf6f483642b7ce61825956b6e0a84ca2bd32a08a98f84a200a0a",
+    "d152d1675da0f33cf86b1664536034d4c9f4ddfc901e51c018b87280284756df",
+    "d2d52cebb51643d7f8ad3b2e52987b7c7f68e66e172418fb42636767f927ffb8",
+    "d42152e189ac72bdfc7e818137ba41cb5265a008aa3cdcacfdc560f5af5341e0",
+    "d49d739f974de58a57bc4f74207ae2bc8d8e66361adeaf55e961a27aa1eaae65",
+    "d563f93f87d17243f00fe477d8e78157ae7edf218e5c88e941cde003bea36a6f",
+    "d5a907cbc19ff057e4dafd6cbd075d983f7e71085148ddff5920871bc2167575",
+    "d5e7f6b0de3d88f2eef5cb8276e5f45caa1fb6e902025627b04b490b5d98ade1",
+    "d65210aa0d78bb32b64e066dcb64b6f8f71f71779a5d499354ddfeab22f1332d",
+    "d6f1ed8d805236ccf9f98fd65500bb4aa9ad8c41f8a071ddc29ca8e752929ae7",
+    "d7ad91e423e48f64697d40ac5d829b3386ed420ea0fd9841676704f0a062dbb0",
+    "d87661fbf955f5f80d07effe80080355aaeddb42c6cb0409ebf62ecb5393b674",
+    "d90b629f237efb49c3ab6d0aff93c838b4db299e6d7feee7636508d12b5c5fdf",
+    "d911da1cc1aa1a02712d5b1a762cf0b5d5ab389492c1a4b0559299f05493d3ec",
+    "d99afab46c17b26a07d8f71fedfadaca28767a8f350a2d9589736ce7da6cc3bc",
+    "d9df49c2c7600b22a4c93bb4b1f9dc9b1157f0117b215b7d1c00e26770ed5582",
+    "dab08cc34ed2fcdd470d03536ca642ff4624b381eaf9d536195bbe17ebe9c17b",
+    "db064204080f8555787bb6221183aa561add66a3383b4ba439f45c6ee5a2d96b",
+    "dccbc6279f3222dbde7759e12a7dda491c55472378491e24482e4ba527959a06",
+    "dd5269687a6c1f75d0234677f460ecef52a58ff78ab2f9ca6822a1316b36c5c4",
+    "dd87ae7fff40771e69e0a6180d1305fc6d1d0ce432e9aced610fb3f49194e7c6",
+    "def0de3ee663dc1c9d1b8df1f0127da4720d8dc16adffce81c060c330dda769b",
+    "df1f96b7a4242177ecb40fbebf6ad7091106e10dcb7b8be68cdf62ae9532d7ad",
+    "dfaa421efe0204df2a51dd0f34cc72c3310aab26426b107e3973b954cebb730c",
+    "dffea2882ee92b26abce07a5376e46308bc5e7a44749f72858eadc0aaf862fa3",
+    "e0077b61aca56e8aa2a018e68311f0e6aefb5d030952537cb7eef012f41369a1",
+    "e031d45f43b36e3034b2966c9f75218e710ec72dcc2a5e970c1d4244e4913e31",
+    "e0de0c7672d9da979ef118f4983eb9ad6ef0402fc8e6f5935c75326e26231f68",
+    "e1b16c59c51132e39f175f624b134609dc6280d818f8c47d9b6eea77e7b193bf",
+    "e2679dd5d22d82f7095519aa46615e702dcdf209163df9cdb734d295f70ed8cf",
+    "e2fa296a21818b123e3d7f367826c5e997b1371c858beb73610b110ca8ce4839",
+    "e50781f70c95585a91804012aa888669166226a18d9fd8d104cf901f565bb067",
+    "e579dd010621e89c430a10b2996eb3b216029e121a77237418f7280ad0f5d088",
+    "e61eb554944b8e39f620309e492c5ac7361b46cd9706619aa516e1c87ab2f11e",
+    "e6ad5e3ada47a44524ddd841faee42a564c8b8fff2eb255362771dd9f3cd5a55",
+    "e76923fb355d375ab50ff13eeb1ffa782eaae18ccabfa627716742e9c1390653",
+    "e7afca6e54dddeefdb0e7f1b02cc0cf2abf00561ecc8086fb882ed8ced4928f9",
+    "e84d29a0132a44780d83de149ff7581d54b4bc7acba7241efd3758dc613e3cc4",
+    "e906c0d38c20ca1f640313df9905bb9a39b48d7fe15c57a2ab75f1565a191fe5",
+    "e9173b067eb363df353546f8567b60b5122ced586ee8c343ccbb3bda6ab73592",
+    "e9795c286533eb785b99b4ec8b8d78f7a1eb8bb725e0d7916cafbeee1ca8003a",
+    "ea4b1dc02232d972aefbc800b4156284095112baf01168056ddc24b8a247f512",
+    "ea7664f177fe6c9fea15443fbf74a78eaed5618ae0f37bf189a0b726d17a5d4f",
+    "eb3537c28c26f4f61dee000695de989b41525c029c7d92eaff101a6c58fbbfdb",
+    "ebba25c528191213226e54e837bb727c0dd9fb48ecfcbfce91412f7fddee51a5",
+    "ebd7b1abe0d22ca80aa8f56e1d62c8a38ff410749cc212d3da44eb580195e0f9",
+    "ed4e3c8d856aaa25e7adb8ef0ab63276a38f2de8d211ddff05b794283c206470",
+    "ed82a193afed8645087d6ca4289eb20157008afd83272002a5669d25cfc51400",
+    "ee15e6d1acea63bf964c93eee42be5dd3029058f8770dd9caf4d5337a2c01bd9",
+    "ee5d303b876c4dac62384687b039f9658fff97c84fd87b08ff59b99a50a2c6cf",
+    "ee623702315a339ba49bed2fe17471ae117b38e2e55d2469e7cdd4c8ab88565a",
+    "eeea07e1f63be94a7ee57285c6c517fd3ffefdb1f48e02d1318b7d0d204db5f2",
+    "ef727e08aa8670e19394b9f923ac237625629c01368ef4a89e9cb565aad5d2ff",
+    "efc515168087302956545ad66a1b2923d107e4142ad40dc14c43ebfbc769e247",
+    "f08cf650a03124cb4ff3d44fd4a70abe0342eb048dca6644323b335770a9a083",
+    "f1176ced474ef2f0ade0eea28d45b69b1c172cb97124465766a696984397688a",
+    "f2143c8de49b21841348de9bd75cac7ffb13b71d118249abb1917698450f638b",
+    "f28ef034d38ffdec076a212d91fa453834eeab284db013d48370f45b23ac1e1e",
+    "f2f034448bd3ed4bf77478619b5c901fcb70f6a8f3ecab9dbbaa143a6953d9d0",
+    "f4d897d2739e313ae9a7f4fab2d18e96b751d08263efa31b92c65c39b569a099",
+    "f5636406724c3560b13585d91d6a1b58716ad37a776edc88af285d7b05f70d76",
+    "f56756762723fb4248c7c9cbc4288058fd1bf9a5b92dddc39c7454bdac885124",
+    "f582d63ab10b23f5177f0615badaa3359f0a0f7a56fb4165437c0ccb3bcceccb",
+    "f661f3a1841fceb3f780a7b40257af20ed3e704c463eeecf783b2c749d7a916a",
+    "f6685d129fc3f57ba35b71ce97af43735c428fee02c6c50fca3b8dfcce32da38",
+    "f72fe1265f2add1e7058bae000d66be9f4ec18762d6413e0bc58548f043a59ab",
+    "f731dbd87c85ffe281c1d8740aa242fa9a7b1d7210e0b1ca69592d11f6f11f8e",
+    "f7d9e96925c19e11d9a4329b0ff009a383d758857a44287115687ddc7d098d93",
+    "f7f300fb09d9d92cf906384f012ebe09835fb0d03b902e2a230c001b302b9274",
+    "f8fac33ac4e76d8146004ac03838c9e4977f31db2e3226693233e411ae4c5cdc",
+    "f919f6e81d3e9733aa6e62846129ac10370ca19d3e72ff8594876e9e77334efa",
+    "fa49239daee14b0d44eed2285a78ae6d7ea97346a5f71a9439f394afac870c63",
+    "fb3c26f9e5d25c1414b4eab1076ffe73023df0950ccb8798d2b2359e7060ff69",
+    "fb7d518eeb067ac77240f19ac6cece874b2af904d69198f83fab2f6f7de203f9",
+    "fb9f9805796702942ff8ce23f4b5f2e2abcecba678a82eaa95eb2f35d3d37cc6",
+    "fc3e326d60df78352c6da66ac491963b7c457797ebcd1e96c2436594fe59a6c7",
+    "fc6bb05f32006e045e36a3300044ffd7205edd7a2ace65ddb7fc77df71abd6f6",
+    "fc96267aab2baa5d3ae73bb0adc76accb567533bcbf6a69ddf358b7ece8e51de",
+    "fd03ea8635c19ccd8b6496bccce844e72697d6a638a7fe75234441e839b7615c",
+    "fdbb4ed5157a5396e2fb421e74d4d4cf4bf3131cca117026ea1f51d77a857994",
+    "fe4209d418bd8745b7e03e0450b65aa434d749e4f0b0f3793a1849ebbe1f93cb",
+    "fe54a9ab1415ed784e1c9d3aaa035570a6cf495a610171edc863f5743524e7f6",
+    "fe578fe58231dea95dce9a9201b55208564b4a59479d910d2144111d16e809eb",
+    "fe62a651f7a3b22cfc8af16729766ce8b0dba209d70e68d12dea3c7ff7c5d3c9",
+    "fe895f4166f609e50dcbadd349f7534f86356f5dc12f47d6511059ddd8fcb4d1",
+    "feaa87eec12904d90fed4e3ae7cd9189e9adf521af0c660ccfc811e39398c52a",
+    "fee98f221151bb980cdb862306da346bf3b0d9cec0b9cbdd9c2ba13ef635201a",
+    "ff1366cc917bc6dcdc630665d80888e067a67153e0291eb502ce1c061598ceb9"
+  ],
+  "include_outcomes": true,
+  "label_counts": {
+    "negative": 5134,
+    "neutral": 1325,
+    "positive": 245
+  },
+  "leakage_contract": {
+    "deployment_must_not_read_outcomes": true,
+    "nontrain_outcomes_are_evaluator_only": true,
+    "train_split_only_for_retrieval": true
+  },
+  "max_flat_action_dim": 112,
+  "num_groups_exported": 419,
+  "num_groups_scanned": 2873,
+  "num_groups_skipped_by_split": 2454,
+  "num_rows": 6704,
+  "object_embedding_content_hash": "411ee7d4c96458879f14fc9460c0e10d5309d83aacd5552c6bcbe089e81838bc",
+  "object_embedding_manifest": {
+    "dataset": "embeddings",
+    "dim": 64,
+    "extractor": "rgb_object_layout_v1",
+    "num_embeddings": 419,
+    "path": "object_embeddings_rgb_layout.npz",
+    "reads_outcomes": false
+  },
+  "observation_embedding_manifest": {
+    "dataset": "embeddings",
+    "dim": 32,
+    "extractor": "rgb_jpeg_stats_v1",
+    "num_embeddings": 419,
+    "path": "observation_embeddings_rgb_stats.npz",
+    "reads_outcomes": false
+  },
+  "retrieval_index_allowed": false,
+  "schema_version": 1,
+  "shard_content_hashes": {
+    "charts_00000.npz": "6f6ea9dd2f6809cbed119598842a1dd6baaf5db099587a2748a00264aafae4e8"
+  },
+  "shards": [
+    {
+      "num_rows": 6704,
+      "path": "charts_00000.npz",
+      "sha256": "538fac2468d1bde33b9e76f5233e331040a8c76ff5fd224727bd8140686f4071"
+    }
+  ],
+  "skip_counts": {},
+  "split": "val",
+  "split_fractions": {
+    "test": 0.15,
+    "train": 0.7,
+    "val": 0.15
+  },
+  "split_hash": "9d1dc1c10868f76fa080895df0f2730c173f12b6db14932599d55c2b60859381",
+  "split_policy": "stable-hash",
+  "split_seed": 0,
+  "state_hashes": [
+    "00febbd1a7ad126d88b65aac55a35a9c4c63bc11e0f6e45344ddd4969242b950",
+    "0161713e96d5c5e1a45422cbbd0367210454a00f7d6e9840771090f4849fcb5b",
+    "0271bb52312dbcc4b57060d87dd5b3a514bb13bb1e20b235ad8204d61ad50a24",
+    "0544a922f6c9c662f2c9238466411bd1942870f7f182a508fd124141ef777c01",
+    "054fa57f5f9a67e3839a4c9674f9146dda13d27aa43c99ab5f87dedb1c0c2712",
+    "069933a0983331f68db2455b6a2b4fa216a97e119e1fb5b42a65adc252aca505",
+    "06a95069882817d6afbcaae8ec6bc12ed361c0a9446c56639880a8b9223c0c74",
+    "06d2eae8a8bb4c4503348959d65191f1f652edf6267e750861de79a6e0f1b1be",
+    "08353e08c94f126c924237211ac6e55a78461a8ff88eb8a1dbddbf844b6f2ec0",
+    "0905ba70e353c374ec760960c11b7a7914e3a0f401bf94a7772225dc39a94cc7",
+    "0a48350b21b9cbc27742e61775d9a3cd611daa5905f96a2cc3c59625d4b081ed",
+    "0b7be6179dacba118f3fdbe0e890ffc2d4ae1d15a87a215f41574bda0b24907a",
+    "0c4be6df74c82811154373ce6212cb0d7766cfe37020a987e1c1a553fc82aba4",
+    "0c5278be095a7a37efb891610364a48e4a4d84d044f63fab14e15e9351d2a9d8",
+    "0cab5c0c4fd5dd2183a8bc5891151fb5e5697bb605a5f7aa3c85f87f0503a804",
+    "0cf52a33f7d5f568029fdd8a8a3b634cdc7443ec30e9c127a73f25543ccd2c30",
+    "0d7cc8eda8b418bc8993e1fdf3fd64353a35fafd2501660fe5d87c6f7ef3d692",
+    "0d873ad4e7f5c34b9002a03754159bc9f2641e80bb46292920d135468141f582",
+    "0d8db9d71f59cad390736c77c29a6ee9f9f24de0c5250e1b8115164f4bc33f66",
+    "0dc29c4c945813a6553cd08d2dddb3982abec790f14fca7f70dfab255302960e",
+    "0dcfcf107cd9dfedc537d2da4969654c2c4fc3d04b1176f8e1426633edc8fae3",
+    "0dff2cb77a11d1888d2a48a76c8da04fe4e0daa54b5194bdb5ea100e2eb48ab2",
+    "0e23f36f5e66b1e4a3a7c074a6757653fecb8ebf1beebcd1e78033f5c2656a35",
+    "0e3910690cb8e214f63534f41f2acc8afec60992e30a2ed4d2fb61fcd93604a2",
+    "0edee0a0681248fffae8e5677c3658aa6a8b59d9eb3e33d90ea3027923b85216",
+    "0f0d99b44408bc284f59809b1266764117c2426549ba6b7e22b897e4c24cdfd1",
+    "0f19062a067ca2c041986c3de45c4e8d4e0f32838adcf5b52c29dac097394b47",
+    "1023ebe09fd0537cc30774636aa5c98411ae6ed1c2dc259a2624bbd063eaf23e",
+    "1113eef231093ad70c840dc75559d4ca74bd3d8dc4aaefa1c0b04354fe6776af",
+    "11f96b224bfcd397ee4f98e388350e3b65418b00a9ab4d2746128b42b12b43d5",
+    "158c57e861f5dbf4fafa3370948c03172a7354fd34511a04af24d744cca2d11e",
+    "15a9a5593a8b8ab430be4f23e1279949867e92ff352f3e2033c69495d6f636f1",
+    "16a1c922cc898f22123974a540e044a4ab649945807f078770480f7297e8e90c",
+    "16ddcd38b720cafaa913dab508ceefddc7620486bb42e9e3b0a9b81e7155543f",
+    "16e7bf765913827062088fe3aab96fcdad44b4615afb788a2a07e434d272b389",
+    "171fce66778284ce4d146eac1ca6327cab37d27bbc4be27a2a9fff473038245b",
+    "17547f1d97d7d63690d4f5ae56430531c2bcb8c2289abdea53e0151d4bd9b79d",
+    "18d69dcc611026a63a4602aa482606f68eb3ce416d10ba04f9fadd6b3622a991",
+    "1921b5d9fe877551d561618aa96a78ddc9480216ba450d537d5e4b27206c4999",
+    "19cb279a5068d0754add0249c6c2577e07f80aa33c56746853c796f5418fc7d8",
+    "1a43f6367e6d71af41f099f5216e60ec305d43486fe887af0c2f19849f406b75",
+    "1a5d3ae36c55dc60075de4acb795d4258bd60953aaca4786039280f763703323",
+    "1ad053ad6219459720e464e61ba1165cbbe5210a308e3f80962cc0e4376e38fd",
+    "1c665a2c6b863f8415c790f358f9138f56958247ed05638712d6357c208708da",
+    "1da1e71bbc20c3fee4c7494196a98750f0081b55357d61ee7cdc53945bb7965e",
+    "1de189fddeff2424f521f5026da163632e4417fac1f9336255f0e62614ee5bb2",
+    "1e6a33aa31538f769c69f26afd8c3fb7c5f0290023735688823d00e5e34f22db",
+    "1ed8594ffd73dc1116a58995bf378e36dbf065e9af2b003e643eb9933e7422dc",
+    "1f7544e2474c3c34d37aa4fd972618a6f29b1e84a054ebe0dffc58c8a2e7a71b",
+    "1faf9206f8f302ab744b3d89effef3a2a055b0e600c874ec05045043e1dfbfa7",
+    "20191c4fcda51e9e83b7e86251c8a03607d12daf307afbc00d51d85e4e7def84",
+    "2053f765d67e1e99fa2f2d67b7c8dbdc0edda26a58e6602fd99f9153ec1e826c",
+    "207798bd670f5ca13a6fe29e77f180432de0fe8e09512311636a9c49b6d27523",
+    "20cc15006255a0f0abb3e7f4e59313cbaee4bb4c70b8fda8bf24a8429d7bfeff",
+    "213e926b1edf4eb61706e283cd09447dbb4e7e529420a94918b6dcc6593f0b29",
+    "2144d1c886bb5f05a02f9f782ab4ef7451d251b76cf8774d23862aaedf517c32",
+    "2171371427e17c1995dad1d3526082f7b27faa7ee8f8d115d3e1f5a29fe1bba6",
+    "21736847d7537ba2fbee1d21f9e7c6f55dd5c9df2239977d889770ddf12484b2",
+    "225fc26bfe12be03306bfd0e7e321879c3e0515185c5941d4162e432fe6ec2a3",
+    "22af0dbc179d12978f8a50de641f892441c0fa6ff71eca94e9a7d4fb6d805446",
+    "232da4dad7749216ed41234b7490922221df235896962a2155fcb14e975705d9",
+    "23466412690e3c55214d93f7681b36635a8e1359f0ede7506e7c8801e12a3fb7",
+    "23b377bbdaf00ea187f5864295d60d63f998e9923abd69ee7308b5224d0e37f7",
+    "23c0c827d7f0d4742515d5227c112062f3eea5b8a374fae7b9f04a34b8a1ddf8",
+    "25438255a311c51c782bd1ca4591dbe9229bc3be0160d5ef35b016acb0850b61",
+    "256f6415a7e248845e28ac5e7d542da9867ae0f5a8765a3eae7809291bec1e3a",
+    "279cef5e2ebb26ddcc87c670075598b35cbc4366b39e9fd22c16533fd9f6f79a",
+    "28a15d04c873a079c1d06c470d2d77b8e96e025c30b859f176dba529fdcc514e",
+    "28e0ea4b46d79646462b01eaa2c675b5872098bba0bf3d66a75d1c1a750261ce",
+    "290401966fd54d78073a1984e84efd046b150ad5b91413e6f5bbcfd35a27c19a",
+    "294c656a8b36af0bf9249985a8fdac65c4530e7c81d78a0b226f721ad6f9d2fe",
+    "2a018927dc86ad3fbecca897ae6ec63485d334434829d3670fe94776f8444bea",
+    "2aba3b30872a625774dc16ad32767e78fcc9e0a1e8e800f976967682c2fabf89",
+    "2b68052385906b5436a650c00b9c3ffe0253943c3a86a40187fb964d4fb2870c",
+    "2b7e6e58aaa56a83b488a80cf01f40bfd6fbd5941855bb29c2ce21221ef78374",
+    "2bc8e606bc7f0a2875ad9a588f3e7a0aa32df858fe5542ff8f7c102cc9c9f14a",
+    "2d0fab9e61b78cd62d1ca7d76326481635d04d61812c74ab9cbcc2b0e0a3ab1a",
+    "2d666e1b77c3039e2574d2c71967860a070f2166462f049a3245013d8bb9ec71",
+    "2d71b5cd66d133bb09dab6f0f35dd703104df4b77255a9ee1a8315d1ca6f59d7",
+    "2e247e7348b1c46bfa9b0068a40df1f45a4ab4d9c7ac366e14d0a9f99e7d63ab",
+    "2e7618499962df0d0c566b843a23f7f4fb31301bc9cbab802d427206f496cce8",
+    "2e89f06988ec2b92a1c8b18b2b3697ee0404bde77298adca7ce981dc1b1a7417",
+    "2edbff51b1020474d5e181f95bfd43c6fbfed555f6b5d5687917c0817d4ba0e5",
+    "2f08ab47ee8e608031042183ba73f76856f60fb0262a8adabbdd29700e91da9d",
+    "30928509ef611054e0fec9b07ce84529aa3afb560aab8a0afad741c493c3efc8",
+    "312adebbcbcb2b79ef60eb52a89d93e0dbced13464e3bf66ecfbec402be9c7af",
+    "32bb5ed54dbb72237062117185d38803a2821325ae9186773df5dbd2ee73155e",
+    "3301879024b9c79869a02253edec7b100d7677fcb2023acd6e9ae7c9cf46308f",
+    "333fc8cfc5f76fd98905846b73548b0023cac4f5f10cf49d3ea5efd8e0c15fff",
+    "3376c21147b72dc0474a3899c9eb74d175f9b78d228913dd7c3a27bc18f6af3b",
+    "34a2ee666ee8be188582c8f7c239b6ff96df48562fe53f34fbc9006c61b87b23",
+    "35f48e0a0b32a3966c94cbbb83fac82d9d6c89b6ae9194c446e085b265ef05b3",
+    "36178548038fbcdee704bc77af6a77590b37e6a3915480091ac1d77d9fe92a59",
+    "3622d0ee6c6d00a746bda15fb39d7044c31bd30e627a4a7ba5737477cc2c788f",
+    "3655a761324c8dc8844e8ba8b9a4772e2453ea55f7c1520925ef154dfd43df4a",
+    "36c71852489c6888128d3ff5c2e62d599759c400acb473bcc0a06b2f9acf066b",
+    "36f646f44b39a2775ef7f08cdd6256eb68b045ff9d2ef373e8826165c2fbe98d",
+    "36fa82aa1f5bee9ced8fb9c2bde5246529f5735b6aef2abfa3398721a222afcd",
+    "3718724484b8054be4ba240b10122a71068067812d05e7b9963932051445168b",
+    "371f27874971dd4d10050be4bbbc1e38e9afe1d8bdf5de5bbc6b3b480334e7ce",
+    "37487957af8670032f1ebd2698dffcfc99b5e2931094bbce10a1f5a41d17e5b6",
+    "376260250744115f58dd61526c1195fa32865622d2bf0daab219ef3491f00a8a",
+    "377d211e4bed8b5fe1de5384be5ba8ac62161b150784f0e7d2b6dc3568e4d508",
+    "37fdb61efd2db8d7ee146b537977800e6c42f93a35f1b452a8a76ae50aa2e1a5",
+    "3802165b910c46febd084599f3ad3bb68e7f94946aa316b3be4077dc64d6892c",
+    "380464d744f9af313aefefee8de18cddcbd32aa3e09aaf4ae13b60c0cdf2c535",
+    "385b3e8838fe0639b71bdb89d173cde82ce32e8218e8a6900f7d544855d3402c",
+    "3864afe56d299c4e93a7b4b270e10fb22a03024afefbbc4676456fb2bf09ee2a",
+    "386a215a2dedbc0166ce9e574929a13416acf7edf161c0c281a7d3752c1664f9",
+    "399ab40ccb7266269c21475263d0e7264b2b983c333db7aa09ca0c3ff532101e",
+    "39e3ae6e36f8d2befbcd1d844052de9ec49b87d041c1152f23ce51b5fe4a7365",
+    "39fc414f3d1216defb30c0764ca78e922de5fae956c8f6fcc0c6cd3ff3c03c5d",
+    "3a3c4ce053b1d397bbba192d6cfcf15b8c08f6e43f2286971a9321c4a1b9f783",
+    "3add4fdf06b87cfe5ea9fbb1f1a6fdb2b2f53181cb4f4819abaa511222c728a4",
+    "3b1c9478132c0351de3a4efd39668453b42aa1eb060e7f6a1def9379b74c4012",
+    "3b76ae93b0a9d50a284a8556fe33d6bd5255ea98d1c84822d166a4e5a2380a90",
+    "3c8e3b6a6980d85319a45619c74f75689a10d57455f60ad363b0db859fe33cb4",
+    "3e44df029d4120641875fb004a2a937c49fe4779a7ce5b1c15df1c7c1e3393a0",
+    "3e7dbcf1d6545bf86b069dd68aa26c7b2d4deaf965dca2f37a2c7b327ec007a8",
+    "3f27b12be9a2fd631200a9fbd83b29deecde1e760ec54035723fe0793de1e445",
+    "4136b9be1dde7532b54d1ce1f96598e153c15c3a76ec32b95813cc38b070b954",
+    "41498d0adc8e023aca47897192364c2ce5745b089f33013b8b9deb69e24b942a",
+    "4167b16627d6e167a2dbd1be8484490ec0c6da9de79b106634ad88b9b65e93b9",
+    "4171cf812123e2b6f87fb20b97a1992b79181a242809805cb68c7ec70913dd6e",
+    "41919df4cca85f0b531324cfffd6584be4830bc8bd9a988fdf7881d30a8dde56",
+    "4236092dcd909a41dc844bb5007d916aaf2142ba0c7332fbf96947b5b8ee61b1",
+    "426d33af3a135919ef5d2b06dabf99d1a1c15ed3b1bb2b9e4c2978a5a107b0cf",
+    "4372ac740d1727b2385f90171db7c748a03a6fa3849940c98f4b9754a7b29d43",
+    "442548c3a3f961d677d15b34974fe1729a5c922853972634cd4ef9a66a130b3e",
+    "446f95aee72b7659374dd227a9ffe3150e198e66df6434c3b4d8c9e563c35ffd",
+    "449d06ce2a53a15c8070a0555ccfe750c1f25fed1317c69aa040aa181a24353b",
+    "454c2f13e99ab69415a54b5e6b0d4d5f934892e1b5083e568be81894e1ca2a9b",
+    "464f92220100eb1bbd1b22e9d03626667f349d7ea6f74c23f1bcef7fc88d5ba0",
+    "47a9c4f96c6872687900bf48c444e916d883ae0147879a5136565d9f781aaf1e",
+    "4843e199e6ede40f1655b18465b9caba2d2d1afb569e977520703101f30088d7",
+    "49417479651902941b3e22068b8f19676e4f484938e9068df2d418739e62cc18",
+    "4a6cab077475699ab9b8df7a8e6207d267d0d2358da13cf6493010703c398c6c",
+    "4aa88d7007545b593c65410ddba0b240f986229a5b3eaf101d52da62d1d145f1",
+    "4ab7c6c04df7d5502cd7a523e550cff7e0e5cd589b392491a7331b95ee9da323",
+    "4b81a042ffa2df32f8f83b5604e4a00759eda66d89a404a2558eafba6d4fee6c",
+    "4bf18fcd7c9afb43f6ae51b4dc792f1c53af66240e23b0fccb23b7c3d8aebc1c",
+    "4c03b46384e7d52ff10e415873ecfa8c5c15e6a35dcad5767afed802c3d1200c",
+    "4c9e5cab65487fb267c99ba75713cfb3a2a030f49e6cfcfb4f49ba84f398714b",
+    "4d0131e19ef58b57be98408e41c9a58aa60c41ab4dd830f587cf209bd3972720",
+    "4d25e2d4328ed58c8f62e38711768a25b57fdc929210950785171937151217ba",
+    "4e5b04961304eba5fdde7a3060e1a8a98a4a72f1f260a71090f499a79769aa8b",
+    "4fbaa3eadac6794630ca6e6754e7f252387e419761876d548179007e6e70bdb5",
+    "5079ae092765e2fb5b517d123bd809195e2b2d26b55db1509aeaeefaac437113",
+    "507eb82aa5d9d9c694ec304b6dfc7e339efd292c0f36d8ad69de93022801fd97",
+    "50f8c0bafafcc8b5c0908d4a4ce21c87bf5b8dc7524cf3513aec538e4efde930",
+    "52bc6084f0ae006eb0c52083a34981493ce7918c8d02d4b5467b92a16cad52a9",
+    "52cf2ba1f84ccfbf1812ba17714ffb951d5a5503465df2fb7e14fd81930c82b9",
+    "53e0f8565233b4daba347cd65931b0d03d3be14b00b81f53eb19e8732f7fad75",
+    "54276b11b5dc801246bf871ed20acea86c35bc3e48d65668292c54894cda707d",
+    "5573e534e62463125b164ba4d53d7ff101f2040bc3e43ea9f8e66e8a78a66432",
+    "55c17cc62f79dcc544b49163b3e763a294a0b661482408b35ec48b2afc4eba4e",
+    "5797212ef801c231eeb5e6157caeb769c9f1c954c945c6e41f6b1de27fe6ea5a",
+    "58157eae91b262404e5660758e41c875ce3d2823b2e4e5fc30e8a3e1384561ae",
+    "5842b9664210226005965140e501df8cfd1193dc1def74032e3fb54e6b9217ef",
+    "590d891c164938e5e47d3dd069e1c81dced1f8a6e52a3020aa35ddce011f6dfb",
+    "599decd9be71c7b255562b1d9623c90819211305e579d8ad4a3af74c5ce8c4d6",
+    "59f04a0707f4139930d13192eb42ef9cf0a5193fa98f46e64ec927d3bd34f662",
+    "5a53a1e8f981c816e78f88933c5d2cf7aba4d9a9a28e953315d817abf3e937cf",
+    "5a8eec221fecdba8dfeba990ba2ef824a40da43c4167f70dac07ffd3335e8fbf",
+    "5b231a214ee5db29e6857bfe09c6a36d9dbd7dd2b85aa25528d47902099bd8c1",
+    "5c670f5657e3227b5ec3bc5199ed81e653deb046b4f6fb539c40281da5887418",
+    "5d8536a1f3f9d4054766e67598a6212a995f62d36f57fd8241d4432b800d429b",
+    "5d95de9ba01f727e8fad9c3476b8010bc5753d93b9f775ec94e307aeaab0488d",
+    "5dd35ce96ea763c051ec4c81442ea8b847f0d357a99fd385ca5b09e9cce36a22",
+    "5e1aee289d761d9dc1711bc6b3c97c0eeddc16b630c815839a156e42e7f39195",
+    "5e4eff8ba21f97afac6f8d2f6467b6e285e21dba4b21c6bc0f58d2f086edc2ab",
+    "60a111176ae35f70f9585afa440fe7f3d18977376c267480fa3094c3393adf62",
+    "60c84890cf7803f6ae595c3566b6aa4176405f2a8ba83c0f6cd6e000247ca271",
+    "60f630ba7d00adbbbe73b85429e665bd3c041464321cb346d27774365cab4682",
+    "61aa27300c1a31db1051074f03440d13ac491b0a5577f0b3de363e5a3b189bd9",
+    "6206882c83f707aa1f3259cd8cbc1f890f45bc4a85124cc602dc3318eeb6d3d8",
+    "635c92d494d7796b0c2f484147287f53a89a765e464d054cafb688b9d96655cc",
+    "6361a57a00da67d6102113b3f3ba0bbb7634c08cbd2096db4289f234380f6778",
+    "657d6b2557b1397c99b24a9e5777a3e28bb62b4a942ccf9da164c08e6a655e0d",
+    "65b892cbc5957bc2cc57375a544114a6475b8d9c274b5204d6e0d9c1b9cae15e",
+    "65de868c437f8dcddad0e37f6533940fde34b39148b9f63104f41d8145610798",
+    "65fc6b04f85a036c86076adfc04b741aedfe77a79a90db37b4023174ed4604da",
+    "6728ff8f1d45daa81b955edc59625766ed7b9e5b26f65edeb3dcd646675cdda1",
+    "69a10964b21da0fecd5c463c6816f544cb1efb299cfcd7a50a4b3a8ae59a9e0d",
+    "69b1edf50126e222eedc15ef65e9aef983fb9d340ccb13cb2740f509cb7019a9",
+    "69b58c84600892b4fa2cef6512cc93f04e14415058a2e2275bfdbb6ffece1495",
+    "6b71c1274c1625f9d19ef6d1f7044365d9dbff6bb252a6445648ff98c073baed",
+    "6ba83bb33eb0852b8a304b335ab26c5716a00bafeb0b1619146263c25ee0966c",
+    "6d4eb328e7293fa796088ce8a44db34d6e177e36d4bbb103f369859a08842c5b",
+    "6d9ecd81dd1ed4c5e6fc7bcec4e40d9097f9f818422e122794aaddfe260780eb",
+    "6dab1cd77a4ef3a9aee45a8537f58ab30d455d55700428a5ffab4022c2ee9d7d",
+    "6e29a3f512c9a33928ddfaeb68dae4c9ff946678744704d45ee053726b09e5e2",
+    "6e2d61579abd8f5acab73369a191a425e369300e3de717d6b5e8b1c79cfb2fae",
+    "6e6db234d66d1aab39325523447331e08d1255a7d81c67c10348b3abb03f24b3",
+    "6eea19a0e64ae3f4ec5dc0e5178341635ff858ec9c2f935976c054dafcdc05e4",
+    "6f76d0be63f1094f195d03f468ab82e36ae3f5f846d96d70812668b5d8e2f7db",
+    "6fcf3251ef3b9a95d9d2917e3604c3e2c1c05d2f4004fbe0686920abf3574575",
+    "71415a4b8c2ece02ddf3e9f1abe357c30c11029627c5510ec937582f36eb2939",
+    "71de47b052ee81350c5ad7224bc7dcbb5be7c4fd375f0821a479c31d82c9bdbc",
+    "727ca5e770a26fb5fa53155067cd05cc54bec3392d6a1856765f966ca660f9a4",
+    "72a6b851451517c6bdda780093ffb0e1f713db1580fb466d1dd390c2603f1d23",
+    "73e64ca24a747c2550b8a82dd413d5fe30e26f03fa95771d660c4b21561b7877",
+    "7498d1733ee3bfc7e7cdb11d6ad5a65369420da5ed5db9c4d752ae710f7e6e00",
+    "74e57ea458f6a044861dd23b053a31372df73e0b47e139b1c30d126edf775ee3",
+    "761134143d39da9361ac778266206266d961c8a76d60b063ff66903a0c51bb87",
+    "77e531ba2e0fdfb9d13b55ac7c023bec7acdbc08a87322fbec534cdc5020410a",
+    "77fe4e7237e2a146bc81019079776768d43ca9d55e19baf25f6db7ead3cb3fa7",
+    "7a56f9770759b68564c8bdbb38baa964b4acce93a3687488b18bf4a82561be32",
+    "7c419f28cac41a890964171a7ede35e4df22f5166d04b34ba2f1f5c530e895cb",
+    "7cb35abb83b346ffac1f0a58212082119a81f64f5cceedbd7b8af7810f2ebc07",
+    "7cfc2744e8e2c90dec0a973312a07f72b33ccff72595d6531f66c31ed099c6e1",
+    "7eb1f194992237cecaa642db7c5140b22a58ccf39c3aea4a21afb463b58b728f",
+    "7f60c45a4a714bf1066d53bf7d2b72abac5194fa5979d3aa68b93b64c9facecc",
+    "8243a06a68ff61d79c805f2c45bcd25fea70bea8fad91df198b432ab470ce9f8",
+    "8350ee6948c386f427a68e9cce71b828dda126548c1704c5aca0d040de3e1ec5",
+    "839775ebcdb6e011391fc3c3a66abd24907fcccd0d2c939b5cb390a65fb76f07",
+    "83d122ef72fc3ac252eefea7659e06a26f887d24374c04a5d750299f76aaed7c",
+    "843281e77ecc5a5210dbcd0b0b98edf7b95537fb6cdacbfb74fea2f8b11d8a51",
+    "85044cb38abf6ea983bce7170966ab3062fcdf01b28e25048481770a3418b82d",
+    "852cb696bf9bcb0a2c8c25bb5d111528a92006f3345eb8a47b3eef0efa343d72",
+    "85654a7b2d601c501d06ccec3bdcba969240c6862c59a34fa4ee9e3216a6f978",
+    "85797e1a9396533183d3551f5f62e960350b2cc8692881077242461722204027",
+    "86f1519103b9098184c2719a2553fcb4f24abf9635e7db4f4e09808b8af84f2c",
+    "86fde29349d8159afd645bd5b7c5556bf74a7563f5d27f5252cce6523681f6c8",
+    "87100034cff240e23384afe44efb0b09e90603f382896bd58c186faf0fe4aeb5",
+    "8751179f0094283c5cf1ddede063340f3a84784459a23264adc86421baf930a9",
+    "87d27f35acbb6f4734a61bf3a13edbe579fbb5d4ccf246ab2378e24b7558253b",
+    "88b7ccfb5fa2d3d4bec816f96e0a2dc5a15ce4ea602df297725a58dcb0806732",
+    "896df52c27a5c01769e1e6e9fbfbb795f43e7de78ac34f34a40bb37c147de197",
+    "896e19fbf4b3372093f28200f82ff64bedf1d38b1f7fe349d998496342162082",
+    "89e41d06c9b85a5e85183168ae099df4f324852eed8ec1314e347767563fea96",
+    "8a69885fdc86627e9cf7ec2880a8c8348b0cd02df31962c0c4d2c389a1a066df",
+    "8a8bdd653602f2f158019a5f439e3a899cf0a85921aa14cca082d6e603560909",
+    "8ae4bf13a85c96359e899a85b465784a6bdc84f8f36315f706c34d955beabd29",
+    "8b6ae722b7977d64014fa0af8f179df23ff208fd2bfae650d6c2277dde6979a3",
+    "8bc2f96c2f5cfec2923d02f631b6adb72273f0596f19d1de7b39d20acf0b6b12",
+    "8bc5b83371b1c90418b00374bfd06f8db036885a988bd6833ab0c06fb1ea98df",
+    "8bca1c6617cbbfd5ce3cfa106987cf26130f8539c26044e1a22a2f51fb1aca1f",
+    "8c05750c1ca939baf32d25d1f2d92a61800b49a76426ec28c1559d59606a61eb",
+    "8cb8ad276815c315802c4d97c5820cee5b1077c684875ebebd549432c2c4a812",
+    "8d091dc0975a50221f3b19a0569128ca17b1a52d01fe047e380b0aaf0e63b52d",
+    "8d314a3c1bf7b6c300dfecf79320d58bf6d2c23fb174f92d5c64d5e8542a96d7",
+    "8fd961b8dda83744a40dc807e6d7d2a3ea9d5d1bd799c1e1d5b2fefa666d6ec4",
+    "8fe2c0bd9c12919205e8c8b29ea61bd96d89616e9b7498b2ee8013446d5dd10f",
+    "902b91e3a5080e9f94da80889ceaa51c5f31d964846008622b6ddbeb07e28392",
+    "90e57c604e72df20a9694ebcd97e3fd9f00c5e5d8ec239e84a7b8a0c431e66f8",
+    "92928d4b346d02eac80d60c98e94f9f1b113f7d01134383db932754c4c5bd3d1",
+    "9393b510d59ccd16774e17789b3a01f90a64554dffdb9eac197d050c0bf5d09a",
+    "954890c63eef6f575f68e4f37adcaf21f4a2e343bb291d0b5585d0ea6d46a6b3",
+    "954c283eebad88edcd070cdb36ab55e457424f3fcb9210f59386cd3e4ee4e74f",
+    "956fbfd3ce94d4619ffdd9194deb85dc6d82e89fa199cc978e0cfca1d3e8ad6b",
+    "9588b1651ce73d10cae6b77ac6b991868c806a63979dc3b4be971f686e9723b8",
+    "95af0aec0162909a0addf5f0002455abb2bd61577e28562a5ed00c2260cb8fbe",
+    "964083a52374c2723dcb95bfed5636587a298497bf58e1183b60af055c46f397",
+    "96909c33a461e46a0d938d888e4371d1295f04535166bc16c9dfbb35c9d552da",
+    "9bd4c58f5a4d057257cae54e018f4eb88f9816f3cf7f88949345453a70512ff9",
+    "9c674f43e5ec1a37fb7eeb8264a5b4d785f17f716f1897c41616ed37333ba70a",
+    "9c6faadf417db194a1a2e68cfc6a4792339ca759edfe44c747fb4c516d7a66c2",
+    "9ca9acceac4275ff088b9bcd89d78019a7f71f284365c0681882194a8af11390",
+    "9ceaf7a3ba12f73c742a6f86a81c708c03240515b9cc5b89cae86ec4601a744e",
+    "9d8ede4ea688ed3e8334867c8f34e34e5c070ac993ae9bcf04489e7a25aec07c",
+    "9dee4ee61296b82b98e8972d47e802ee8ac8a5008b5e03cd5b130d0edfa15c77",
+    "9ef46448570d1e27b98284d64a08cec2d25a8118fad8017d44a99f4f6c061c47",
+    "9f1bd954340e3d26d52465ccbcd4b72baa30a3ce520e2a6e4358b5617b176963",
+    "9f585ccfb9a92e299ff0f76a9a777b4c5eeec4189f4fa9ab50c1cf3d74c21e05",
+    "a17f4334476d179113e2db7a6dbff71ecae86b10dfb2ad7fe2d8cc9135b4f2a5",
+    "a3170ffc83f7e0cc197350a8d74d85500d474673998ef1c62f1ddc3f364eb53e",
+    "a31eca43deeec05441c35933fc20b48f45b191042da018d7f6d97232c1ed9ce3",
+    "a322d6d1f0b71546ad4e9f746bc3fbf1742df0ecc431dca06584e44f29328e43",
+    "a35f0920ead6068375bb19cceff473cc971e9b578a0bc963fe7e617e2fdea9d3",
+    "a43f30a7fdf9c7a1561c6eb9aaca66890cdec58295265ab8d305ff076e36e0a8",
+    "a467e1194c7dc803eec26bc9535be71b58444bb5748d179e2a4e5e0662d3e0de",
+    "a49644cf53180202b00609f3cddc005a01e2086bb63369c711ff0950c8f8c214",
+    "a4b7c79b9897333ce6ceb761dc6854a40225ee9211a54101ba64dcbc92e0a6fe",
+    "a52945e1d0442f75f9a004ecb76d0e2b17e6137b124e73953d23c99aefa7749b",
+    "a52d52c4694251b5798e3478578d4d39fe1e964a70548f6388cd3c5e5cdb0fa7",
+    "a53fbb7223f7fdf1f7b641c51f0f8005ec0f32cfce74d9276001d8d8ea1151dd",
+    "a59577e4bbf52734f1931725d54881da6d66231bc9fe4c238d840b8c5444fa4b",
+    "a59ba23421ebc70cc23935fec64df1f948ef7e38c9ae6ae5d51491aea195046b",
+    "a939547a17e2245da625a539382110eaadcb4aa5b5e0821c15d6ae3a017f55e4",
+    "aa1da523736c9af8a5c7af126aef2900c7e06c0ba501113ecaed22f8982f7cda",
+    "aac283530a6c5a5e222a951421b18af4933a1f893ddc009d2e500340dd5d5abc",
+    "ab4a571a4eae6c30751bdee0aed400dc75363f94dc0f4b7782cb4556e83c23f3",
+    "aca0c3bd9fdcf931da31abcc3e4ec560120c83ab86deee1e627b5fe8e06b21b6",
+    "aef1e30af94b53299662a893e7d3a08099e1a9e2431e39096bd55d3eefc3953c",
+    "af28f08a766c0dfa0650194c27fbfb2b9b057e676e959dcde8c0dc04ba0372a6",
+    "af680a60c99d6ed6f75252add7208bbac1f27c4263be29008866b314963f9933",
+    "af8587819a0c45ae5a25878cc8bedc571a5a14d719ff7ad25bd3b088af294b3b",
+    "afb57d77ba6a109f6435059dac6617930c19567b3a9a5c690932e04ef7b7d45a",
+    "aff6e17d88bd7ef94395eaa52ed7f8bfa1a84a322d28c1535cdbaeff3fe137c8",
+    "b015523bce4598e2b2d077d075a5eed6fae4235b2851862ec3edf2a2a454b89b",
+    "b018d81f318adafd8aeaf9997b18e1e23da168b5fc28e640cf50d570dcc9e315",
+    "b10f856b83f430458887304c2f3609fc5bf70132d9546fbbf763183d9c8ec5b6",
+    "b12d970acf0fb01d206f2547177e9c4008abb0d81d20a8df2faf566176cb042f",
+    "b1daedac8c8e33c5708b2cb66bd406e57633cf05b6bbd95c11f9e752b35da4b5",
+    "b246439be3988b28f0fee9316443e3a92a37bf97ce2be5c748f04ddf800418ff",
+    "b3ae5672ebbcf36d12467c9fefcd760018e4b5733a34c41bce09e760bfaa9715",
+    "b50ce258f9c2c3a1b1284b7a573a2fa4a11ebb787929d39011a47002463ea7df",
+    "b50fca44807c252ef01dd95698262033154f8707905f779c0a20abc6439ca0d9",
+    "b5a7e7146a98035523ef6490183cdde177444103df52e1217bf8e72ada4d6328",
+    "b6324c2d34799565940dcccdd23e1360e974a46b44c209a6a7a9fdabf790d044",
+    "b66654f95bae5b30f1a326c90dc930b954368834385eaa21725571afe94b354d",
+    "b677f0aee329cf1b061cc0e2601a9c33218c5c10c0cace5820236313a0825d3e",
+    "b679de5b8df5d6b74ce1c8331418e05575117dfb8903a5381b6e92d9eb0b6a4a",
+    "b68d92aa8fccb4f75dc0ad09e9b6d567f7d40d421ae5321b36bb0a48236e598e",
+    "b72fa8f582c7fcc689962e8ffd5f8fe3f837aba4cd11ce7687532498c11fede9",
+    "b7761c8e81ab553d5b43ef3e570e6639d8d4fd3d3b217198f7bcc86b0078db4d",
+    "b7f2c74cc6970aa943740ba5c7fa947e4dc991233fd35e51412ced790d20298d",
+    "b8c14ae75cbc0d0dcb2d256815e6e4fab110ea29a3582201c0df5cebe47544d5",
+    "b8c87db8cf709cb8f4bbd8e684279f796def8980d809fd174a79690113de7207",
+    "bac19e11a6db7315a718dcf8236ca104336de292ca5553afe82f9418239b4271",
+    "bae7c6cd0a3c6e5f44834d64879b260dece1a4232f3fcb1f01756b03391c8831",
+    "bb5d7e079e9ab21431f60dd6c4495a3984001039620203c0962965e5f42de079",
+    "bbd5c9fa1463d0d789c66b421b274e424b1289de879bc2095a39924521dcdf06",
+    "bc107f5bfc824a5872fb29eb153fe68133664f84a0bda0c1f040629cc5722e55",
+    "bc28efd0ad227d98655ebf16a86d39e0eeca17d2f7e4a1bb14562b9772777332",
+    "bd570017cc62932d88f56095bb4fc99aa0d3f718317c089808b4649309f57322",
+    "bed8189cf521818dded6793b749c12a91df30fa033b1d0d628b74b078aa3d17f",
+    "bef655041d427966b37d503ec3ee6a608a397e34e50b3faf19c7c8010d32e9e9",
+    "c0b19497f20c96ff5a998cdfd8fe901b2636548e67f7521e17d8c1c3a344b119",
+    "c1fe0dcfc510b321f89d86e9e28d959be4b9f7191bbdfe75d94aa00ba907fecf",
+    "c29fa01c7d7c2300dc9f248122d101f2ae7096dbdff573efbb51b271db18a237",
+    "c2c4d1a16f5c13da6ead578d5ea39e79319c2fbe4b950d9a9eef447f0d885985",
+    "c3207049b4fe55b2130b223f9d327b21f11dc51c5ca20eca2a8d75c13f6000e5",
+    "c4c4cd450d60c5748c8fc36d10c75f182cfe952711617dacb76a0b0e7391a35b",
+    "c53776402fe96a74a9aa02b2ae732f279a3ed258aebd35e7f7347da28491856d",
+    "c5608d269923a2a3ee69d360c52f71f1eea591a603304c908ddb465f737c0782",
+    "c56cf2d189daaefc764ff1bbcf667d4625be73dbcdfe9c42e0f503d59b5ccd23",
+    "c60a678a37f48d744f7ba785c4adc7de65317982199801ebd603090315c85ca6",
+    "c6244a7b5686ad0e553cd0fb349481c14e4390ec7a65d414da7dead452a535d2",
+    "c6dba1af7f4d12fe2720b67f0ba6ce4984cf9d47c6d288f2467681d02f5af6d4",
+    "c7418675ff86e0833d60ea80a8c8a0f9b99d239421ca68164c6824a99a276f54",
+    "c77af3500dc3ee06cb5dd5ef1e7cffd70a3c7bca08b9c00196884cc3dae8db90",
+    "c9feb7939ea3febccdec91c170527060563ee0dbf0dac5b75092ef5c5bcc9e6f",
+    "ca67eca42b424c6374979d63df4eeae00381446c7c7eea0934a3a21b9352cd9c",
+    "ca83a160910b077d3ca4b6f0185b4a99549d8287d187a4c204ffcb6867514887",
+    "cbddadeb108dc36a2cf5e686e2cb3a143946afe47ceb15dcc185af4b272e3777",
+    "cc47d275990836af665da5f4dcb0c118d3d4897d376ebeac53ba6f207dbb8a64",
+    "cd015dbf90e521f2443eb714d30785c1d21240e44dc10e1f8464ff146866f6d1",
+    "cd7d0bcd5fbfa262877644a5d88d8e2b6016e6cb9a880761c1cc1823c4e6c621",
+    "cdd8100bc160c8c866913e8a033cce5f402efb1fc1538247d4cbcda3e1216659",
+    "cdef8f05ddad0db32cc966def25db6898a05c42bd15391b77c619eaf5ab2a904",
+    "cf4dd171afff5c96a512d37c25ea9e292f1cca25a2d267b2aef735d51605de17",
+    "cf99daf73630fb1d3448b7bbf0b4ba0558c886dd8ae1fd77a38a0b610fa1ea3a",
+    "d0a9e8772c316ac795de39d315b5ce38b72472b4df16d6ea6ae473c94c853a0b",
+    "d0c4b2351028946098f41c3fe28981d2aee8e3f5caf4ba4fcb12462d0c2fa12c",
+    "d0d11e3470945260027f6fefa6a4d0a3cbd29d2ecb9b9420a14ff6fa952c957d",
+    "d0f6f9c2fb93b869433b409b0093f0e15e226e6d750632a90a0e6e970a3464b6",
+    "d1ac7a2471d394057a588ec47c74a0b78e7cc2f495bb1585b184eb72dfd4ccce",
+    "d2615c76b309b1437f0d1f0294b8e88fc5fe3e9259a41a9ae4cdf137ef73609f",
+    "d3723031d231e59cd40ba8632e01ec7604f5197a48a45898cd0e314541331c87",
+    "d440f8f0db5b04f2ada14de102a3b3a7e3e774ab487a6bde0275a4344d62dd16",
+    "d584d77a56c70ad17c27a192efd074d4f5f74452f2c62ebae6b627d80ae063f6",
+    "d5b1bf93014f200928b481640c3ae57597cf73a0f1668a77e07ddd8683a81508",
+    "d652ef33b9ffeeff77ae17aeeea979ab8c1d403431bdf245867abf4566b54689",
+    "d66bff5b50f3ca994a03faa77246bf9e3a8193a4903fec25d5f56f7fee31611a",
+    "d66e373e83c0d5bf391ef83eb47b2ea4971409df16bf2d2d3f90e4819c641cc6",
+    "d723c5e330147c034be5d384e3c539f323c50b01326b901b3f78ec8a29d13b41",
+    "d842c9b772dbd601bfad1c3d830df5aacbb685507247666a80d8ef7ec0ab4db2",
+    "d92d42c9d643429671fe1f7384014ca15ae89ce49be0c5d524d2172938585986",
+    "d9efd2aa3c0a57f3bb93916653cfee963e4b1141917d703e61509d8d6dab7c78",
+    "da5e94dc767915969e1c8188d29035197a22ba0b9d8be1cebc04e5a8203646a0",
+    "da96925490c07aa86ee90d9b7c31bd59fdc56d27c891cb6728059322add4260b",
+    "db258468bee6ca4d5ca59334c4e45ca958aa6df89ceadebead6c04ec77feca35",
+    "dd2f29960e09d45097d7c7324130b96c27ee8483c4dca1b0045dd58a158b4838",
+    "dd794a7a3fcf1fe4a062e9664df3eecc6f45f0f15bb1672fe552f117acc1f646",
+    "dd97f6d3742257341118baa40d95ac216a80d20d39d47ec9c17e37234151d783",
+    "ddcb6f80de7e1ee656dabcf2566d3a78fb97806bbb6077a66d0b1e9d8a3e251c",
+    "de0beb18c2c3a2c895ca5f7a01665041577ef8373f8037591a1b1bd9b906e13a",
+    "dedc28fe961870e02089cb419fe3be918a27dd6568af8724f7e6879f749cd029",
+    "df67a5c802fc30ab72aeababbb0e93dd8e5b42cd9646ebc54ff9f47240c6f361",
+    "dfaa69ca87d3288942dcaf896c9ba8b8a6b0ba61006631efac7e521e8b543c9f",
+    "e128aa827a20a9ca1a057cf1991d49872999d78244f9f9d126399e8aa70b4841",
+    "e170828ddffedb42c27cf62dc347fca5ebcde643e3b4585691189c321cfda9c4",
+    "e1bb15a4b9aa87ea3327bde96322b226d9e407fee96824e7281a4142d9c32592",
+    "e1c5715b0a722ae7aa244fc75ea30dcfa239f6af640e6ba5d4937d22c85cb982",
+    "e24cb331e947114a105313fec3abee7bba02e65792962b11f789ff65354bca55",
+    "e34faf75bfbb6ec5d6fea460d34a300f33d61d5544249ce0adb97e3c9a8bf469",
+    "e417c01c804a4b846fb4ab0bc5f5e635822dd469814b6f454344a371a0c54846",
+    "e4a3df05b8fa77155ebe3f0e59b48ed9727f70e8624623cb69596dd0ccb2acff",
+    "e55e578cf3630b4265a38473546efd00faeaccae3b69cafbd46c38b43810159b",
+    "e58a39b6c5e754b1bfd881b5e6b3072eb678e7909a173dbe589b1f1046cc3c61",
+    "e614a0919bca602cb5416a1b69b025e7679766f28a630f8fe36a044c9b6c19a2",
+    "e730a01ae3f75be9423d32d2fc782f0250689840a9f35f552f9234956b91b651",
+    "e7cbfefa2b400f6c2a4088c06e774c341f1fec283d7e6de39d6aa38f8fb16eff",
+    "e83f6805a42db291bb19df80219ebf6257f4ca9965f7c96acf9c84c19845466f",
+    "e8b62f0abf8484fd663882a6423adc003b27b151b2e081544cdb328480b0efec",
+    "e968c0a922d5fbb0063602dfac63455d45924717d817299133a56a73fa9c85d9",
+    "eb68932633b2c16e1761b398a52354406182ae85cbc65ae7e27dbcfdb667d6af",
+    "eb961efc66c3dda1fceeffc0f5dcb270b6f354484fe5ff983e7252533d2db5b6",
+    "ee27e25f902e654569ef7a8ded0e028eea1f7b48cce472d02537f9c58b90f31b",
+    "ee9c47b6572c11e77808aa5278255d5baaa53327776a2eb1f3c02ac21706667e",
+    "eec2faad73968e9d8df0cc9171b24b238365533e490c3c1da68f2a01b3a58dac",
+    "f01042ebfb2d85430a7264450902c9d7f8f208343cbfa398de5efe062158cb10",
+    "f0262b9ee515bf10133044931f0078e678627bee08a7021dae6532b1d10652eb",
+    "f07a5ec90031146f8a1b92c877a9ef88d90b67725b687daa47850afcb8a4f5bf",
+    "f137e08187e31a78bf93686f27df66e24ba62fb370115cf099ab3452b3e84934",
+    "f18c1737e19dbb670db3262115d9d640533cf10ba73f8196ddb5a7d582744feb",
+    "f194576d56014f50ba3f94c92baf120c3dbcebe176b661154484c2a92b7b40c5",
+    "f3088bbb09667126643e781a17542b06cf97833d29b414ff29cdfc0c249b0025",
+    "f36b21cc9f9651ab59717c67501c154929fdb69d2124fcf87beb5cb4eddc385b",
+    "f37badc006085509e7f393cc62d362f41a6300fe2a54c46c6e0763b4afbfe7f7",
+    "f3bc1c4b3902b647d6660ae83b6a272dbf80b85cbcb7b57d74afbe94d6d754b1",
+    "f54e7d6b2f7b5aaa89a466187ae089784a605b946d50d221e21185b14ad2e5a0",
+    "f5579f35655c4c99b49931e63782e64494470ac21c1693fecacad3d3d54291bb",
+    "f70bac72a9d4055c60922c63e2f2cb3b77aa90250cc071a96f67d3ab658a4a12",
+    "f7899c890521825ae7f31b8c107f2ac9cf8e50097d4c06b92e226a772ba7b925",
+    "f82052e29e6ca52c7c633334e5c939674ca671cf5a592db59f882e88c5bbfdac",
+    "f937b82c14d253a7eecc1fc8effc545517af158c38d181727dcb8205e42a27bf",
+    "f9576ef7044564daed5e3bd01e196df3a69109244971a106c44d8108f286f08d",
+    "fa65af636e0484758f08f422fe84c5ccc340fd7f33a96fe5bd63e2a9c110fe6c",
+    "fc969058a53f8827440a2d1750091bc41aaded65e487bc033c81f2140b997321",
+    "fd18f20b9ea23bcb6fc5091c74383ba65a8b58c19f12da01c74b82ce5f821843",
+    "fd5336c29326b4bcacb4c55cedbe14a1d5e61ef269102110f643f665d1f8f03e",
+    "fdb70a2a5773acfdd00811abbadb690df8422aaaed7bd93893f576e2f5704bac",
+    "fe2303f90cb10eb75f13d551f88d2103bfb4f0c83682f807942f4a768b6852d1",
+    "fe6e280d14d7dd0fe23a487c684330c060896eee257e80121bc188a4f6110c09",
+    "ff5cbd0b1fdca636b746e9d39e0c2e984969c249bd093bcdd886290622f87775",
+    "ff6bbc3315c35a873ae49a7aea0911da2039eb0bdfd754beec5b119d5ca46b29"
+  ],
+  "task_counts": {
+    "LiftPegUpright-v1": 1056,
+    "PickCube-v1": 2384,
+    "PullCube-v1": 928,
+    "PushCube-v1": 1008,
+    "StackCube-v1": 1328
+  }
+}