Auto-sync: 2026-06-28 13:45:03 (part 2)
Browse files- results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k1grid_tight_safe_ray_margin0p20_summary.json +313 -0
- results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k1grid_tight_safe_ray_margin0p20_summary.md +19 -0
- results/paper_analysis.json +1 -1
- results/paper_analysis.md +1 -1
- results/paper_story_memo.md +10 -8
- results/paper_table_status.json +18 -18
- results/paper_table_status.md +3 -3
results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k1grid_tight_safe_ray_margin0p20_summary.json
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| 1 |
+
{
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| 2 |
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| 3 |
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| 212 |
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| 213 |
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{
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| 214 |
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"seed": 2,
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| 215 |
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| 216 |
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"num_groups": 575,
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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| 225 |
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| 230 |
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| 231 |
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0.3,
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| 232 |
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| 233 |
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0.5
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| 234 |
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| 235 |
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| 236 |
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| 312 |
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|
| 313 |
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}
|
results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_k1grid_tight_safe_ray_margin0p20_summary.md
ADDED
|
@@ -0,0 +1,19 @@
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|
| 1 |
+
# h=16 Best-Policy Checkpoint Rollout
|
| 2 |
+
|
| 3 |
+
Run root: `/scratch/knguy52/dovla/experiments/dovla_h16_policy_ckpt_runs`
|
| 4 |
+
Objective: `near_miss_policy_bc5`
|
| 5 |
+
Result file: `policy_rollout_retrieval_residual_k1grid_tight_safe_ray_margin0p20.json`
|
| 6 |
+
Completed seeds: 3
|
| 7 |
+
Baseline h=4 policy success: 29.67%
|
| 8 |
+
Baseline h=16 rank-checkpoint success: 29.74%
|
| 9 |
+
|
| 10 |
+
Mean success: 34.84% +/- 1.46%
|
| 11 |
+
Gain vs h=16 rank checkpoint: +5.10%
|
| 12 |
+
Mean progress: 56.60%
|
| 13 |
+
Mean action MSE to best: 0.401
|
| 14 |
+
|
| 15 |
+
| seed | mode | k | policy cand | retrieval K | retrieval metric | residual anchor | residual reduce | min type success | residual scale | residual scales | margin | sigma | opt steps | trust | success | progress | oracle | action MSE |
|
| 16 |
+
|---:|---|---:|---|---:|---|---|---|---:|---:|---|---:|---:|---:|---:|---:|---:|---:|---:|
|
| 17 |
+
| 0 | retrieval_residual | 48 | no | 1 | raw | expert | none | 0.00 | 0.40 | 0.30,0.40,0.50 | 0.200 | 0.00 | 0 | 0.00 | 34.09% | 55.40% | 85.74% | 0.387 |
|
| 18 |
+
| 1 | retrieval_residual | 48 | no | 1 | raw | expert | none | 0.00 | 0.40 | 0.30,0.40,0.50 | 0.200 | 0.00 | 0 | 0.00 | 33.91% | 56.39% | 86.96% | 0.391 |
|
| 19 |
+
| 2 | retrieval_residual | 48 | no | 1 | raw | expert | none | 0.00 | 0.40 | 0.30,0.40,0.50 | 0.200 | 0.00 | 0 | 0.00 | 36.52% | 58.01% | 87.65% | 0.424 |
|
results/paper_analysis.json
CHANGED
|
@@ -1,5 +1,5 @@
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|
| 1 |
{
|
| 2 |
-
"generated_utc": "2026-06-28T17:
|
| 3 |
"mechanism_gap": {
|
| 4 |
"best_clean_vs_direct_same_ckpt": 0.06724637681159418,
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| 5 |
"best_clean_vs_h16": 0.05275362318840582,
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|
|
|
| 1 |
{
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| 2 |
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"generated_utc": "2026-06-28T17:49:47+00:00",
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| 3 |
"mechanism_gap": {
|
| 4 |
"best_clean_vs_direct_same_ckpt": 0.06724637681159418,
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| 5 |
"best_clean_vs_h16": 0.05275362318840582,
|
results/paper_analysis.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
# Paper Analysis
|
| 2 |
|
| 3 |
-
Generated: `2026-06-28T17:
|
| 4 |
|
| 5 |
## Main Seed Statistics
|
| 6 |
|
|
|
|
| 1 |
# Paper Analysis
|
| 2 |
|
| 3 |
+
Generated: `2026-06-28T17:49:47+00:00`
|
| 4 |
|
| 5 |
## Main Seed Statistics
|
| 6 |
|
results/paper_story_memo.md
CHANGED
|
@@ -91,8 +91,9 @@ test-time search. The cleaner novelty is:
|
|
| 91 |
|
| 92 |
## Job Status
|
| 93 |
|
| 94 |
-
Last checked: `2026-06-28 17:
|
| 95 |
-
|
|
|
|
| 96 |
|
| 97 |
- `14858328`-`14858333`: completed train-split `field_selected_noexpert_bc5`;
|
| 98 |
direct rollout is 26.84%, field-guided best is 27.65%.
|
|
@@ -143,12 +144,13 @@ GPU priority.
|
|
| 143 |
and `0.45` reach 34.72% and 34.84%; K4 median and K8 mean at scale `0.40`
|
| 144 |
both reach 34.67%. The follow-up confirms K2 raw residual transport remains
|
| 145 |
the best clean row.
|
| 146 |
-
- `
|
| 147 |
-
|
| 148 |
-
Summary jobs `14868994`/
|
| 149 |
-
`
|
| 150 |
-
|
| 151 |
-
|
|
|
|
| 152 |
- `14869627`: completed CPU Apptainer smoke for the new residual scale-grid
|
| 153 |
selector. It selected index `3` on a two-residual/two-scale toy case and
|
| 154 |
returned the expected action `0.20`, validating the candidate expansion and
|
|
|
|
| 91 |
|
| 92 |
## Job Status
|
| 93 |
|
| 94 |
+
Last checked: `2026-06-28 17:40 UTC`. K1 tight ray-search job
|
| 95 |
+
`14868993_[0-2]` has started running; the K2/K4 ray-search jobs are still queued,
|
| 96 |
+
pending on GPU priority.
|
| 97 |
|
| 98 |
- `14858328`-`14858333`: completed train-split `field_selected_noexpert_bc5`;
|
| 99 |
direct rollout is 26.84%, field-guided best is 27.65%.
|
|
|
|
| 144 |
and `0.45` reach 34.72% and 34.84%; K4 median and K8 mean at scale `0.40`
|
| 145 |
both reach 34.67%. The follow-up confirms K2 raw residual transport remains
|
| 146 |
the best clean row.
|
| 147 |
+
- `14868993_[0-2]`: running the K1 tight counterfactual tangent ray-search
|
| 148 |
+
rollout. Jobs `14868995`/`14868997`/`14868999` are still pending K2/K4 safe
|
| 149 |
+
residual ray-search rollouts with scale grids. Summary jobs `14868994`/
|
| 150 |
+
`14868996`/`14868998`/`14869000` and table rebuild `14869605` are
|
| 151 |
+
dependency-gated on those rollouts. Updated rebuild job `14869860` is also
|
| 152 |
+
dependency-gated and will regenerate both paper table and paired analysis
|
| 153 |
+
outputs with the current script.
|
| 154 |
- `14869627`: completed CPU Apptainer smoke for the new residual scale-grid
|
| 155 |
selector. It selected index `3` on a two-residual/two-scale toy case and
|
| 156 |
returned the expected action `0.20`, validating the candidate expansion and
|
results/paper_table_status.json
CHANGED
|
@@ -527,14 +527,14 @@
|
|
| 527 |
"story_role": "counterfactual tangent ray-search diagnostic",
|
| 528 |
"fallback_success": null,
|
| 529 |
"pending_job": "14868993/14868994",
|
| 530 |
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"path_exists":
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| 531 |
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"status": "
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| 532 |
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"success":
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| 533 |
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"std_success":
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|
| 535 |
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| 536 |
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| 537 |
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"gain_vs_h16_policy":
|
| 538 |
},
|
| 539 |
{
|
| 540 |
"key": "retrieval_residual_k2grid_tight_safe_ray_margin020",
|
|
@@ -546,14 +546,14 @@
|
|
| 546 |
"story_role": "counterfactual tangent ray-search diagnostic",
|
| 547 |
"fallback_success": null,
|
| 548 |
"pending_job": "14868995/14868996",
|
| 549 |
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"path_exists":
|
| 550 |
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"status": "
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| 551 |
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"success":
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| 552 |
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"std_success":
|
| 553 |
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|
| 554 |
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"num_completed":
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| 555 |
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|
| 556 |
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"gain_vs_h16_policy":
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"key": "retrieval_residual_k2grid_broad_safe_ray_margin020",
|
|
@@ -565,14 +565,14 @@
|
|
| 565 |
"story_role": "counterfactual tangent ray-search diagnostic",
|
| 566 |
"fallback_success": null,
|
| 567 |
"pending_job": "14868997/14868998",
|
| 568 |
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"path_exists":
|
| 569 |
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"status": "
|
| 570 |
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"success":
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| 571 |
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"std_success":
|
| 572 |
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|
| 573 |
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"num_completed":
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| 574 |
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|
| 575 |
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"gain_vs_h16_policy":
|
| 576 |
},
|
| 577 |
{
|
| 578 |
"key": "retrieval_residual_k4grid_tight_safe_ray_margin020",
|
|
|
|
| 527 |
"story_role": "counterfactual tangent ray-search diagnostic",
|
| 528 |
"fallback_success": null,
|
| 529 |
"pending_job": "14868993/14868994",
|
| 530 |
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"path_exists": true,
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| 531 |
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"status": "complete",
|
| 532 |
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"success": 0.34840579710144925,
|
| 533 |
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"std_success": 0.01458521231931493,
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| 534 |
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"num_completed": 3,
|
| 536 |
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| 537 |
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"gain_vs_h16_policy": 0.051014492753623186
|
| 538 |
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| 539 |
{
|
| 540 |
"key": "retrieval_residual_k2grid_tight_safe_ray_margin020",
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|
|
|
| 546 |
"story_role": "counterfactual tangent ray-search diagnostic",
|
| 547 |
"fallback_success": null,
|
| 548 |
"pending_job": "14868995/14868996",
|
| 549 |
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"path_exists": true,
|
| 550 |
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"status": "complete",
|
| 551 |
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"success": 0.34840579710144925,
|
| 552 |
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"std_success": 0.013053136520808913,
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| 553 |
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|
| 554 |
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"num_completed": 3,
|
| 555 |
"best_config": null,
|
| 556 |
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"gain_vs_h16_policy": 0.051014492753623186
|
| 557 |
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|
| 558 |
{
|
| 559 |
"key": "retrieval_residual_k2grid_broad_safe_ray_margin020",
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|
|
|
| 565 |
"story_role": "counterfactual tangent ray-search diagnostic",
|
| 566 |
"fallback_success": null,
|
| 567 |
"pending_job": "14868997/14868998",
|
| 568 |
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"path_exists": true,
|
| 569 |
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"status": "complete",
|
| 570 |
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"success": 0.34956521739130436,
|
| 571 |
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"std_success": 0.015061311370164159,
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| 572 |
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|
| 573 |
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"num_completed": 3,
|
| 574 |
"best_config": null,
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| 575 |
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"gain_vs_h16_policy": 0.05217391304347829
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| 576 |
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|
| 577 |
{
|
| 578 |
"key": "retrieval_residual_k4grid_tight_safe_ray_margin020",
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results/paper_table_status.md
CHANGED
|
@@ -30,9 +30,9 @@ Baseline h=16 policy: 29.74%
|
|
| 30 |
| retrieval_residual_scale035_safe_margin020 | Train-state residual retrieval, scale 0.35, safe residuals, advantage margin 0.20 | complete | 34.84% | +5.10 pp | yes | no | no | counterfactual advantage abstention |
|
| 31 |
| retrieval_residual_scale050_safe_margin020 | Train-state residual retrieval, scale 0.50, safe residuals, advantage margin 0.20 | complete | 34.84% | +5.10 pp | yes | no | no | counterfactual advantage abstention scale tie |
|
| 32 |
| retrieval_residual_knn2_scale040_safe_margin020 | K2 train-state residual retrieval, scale 0.40, safe residuals, advantage margin 0.20 | complete | 35.01% | +5.28 pp | yes | no | no | best clean counterfactual advantage abstention |
|
| 33 |
-
| retrieval_residual_k1grid_tight_safe_ray_margin020 | K1 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20 |
|
| 34 |
-
| retrieval_residual_k2grid_tight_safe_ray_margin020 | K2 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20 |
|
| 35 |
-
| retrieval_residual_k2grid_broad_safe_ray_margin020 | K2 train-state residual ray search, safe residuals, scales 0.20/0.35/0.50/0.65, advantage margin 0.20 |
|
| 36 |
| retrieval_residual_k4grid_tight_safe_ray_margin020 | K4 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20 | pending 14868999/14869000 | pending | pending | yes | no | no | counterfactual tangent ray-search diagnostic |
|
| 37 |
| retrieval_residual_k4_scale040_safe_margin020_mean_by_type | K4 train-state residual retrieval, scale 0.40, safe residuals, mean-by-type tangent consensus | complete | 34.96% | +5.22 pp | yes | no | no | counterfactual tangent consensus near-tie ablation |
|
| 38 |
| retrieval_residual_policy_anchor_scale035_safe | Policy-relative train-state residual retrieval, scale 0.35, safe non-expert residuals | complete | 33.74% | +4.00 pp | yes | no | no | policy-relative tangent anchor diagnostic |
|
|
|
|
| 30 |
| retrieval_residual_scale035_safe_margin020 | Train-state residual retrieval, scale 0.35, safe residuals, advantage margin 0.20 | complete | 34.84% | +5.10 pp | yes | no | no | counterfactual advantage abstention |
|
| 31 |
| retrieval_residual_scale050_safe_margin020 | Train-state residual retrieval, scale 0.50, safe residuals, advantage margin 0.20 | complete | 34.84% | +5.10 pp | yes | no | no | counterfactual advantage abstention scale tie |
|
| 32 |
| retrieval_residual_knn2_scale040_safe_margin020 | K2 train-state residual retrieval, scale 0.40, safe residuals, advantage margin 0.20 | complete | 35.01% | +5.28 pp | yes | no | no | best clean counterfactual advantage abstention |
|
| 33 |
+
| retrieval_residual_k1grid_tight_safe_ray_margin020 | K1 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20 | complete | 34.84% | +5.10 pp | yes | no | no | counterfactual tangent ray-search diagnostic |
|
| 34 |
+
| retrieval_residual_k2grid_tight_safe_ray_margin020 | K2 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20 | complete | 34.84% | +5.10 pp | yes | no | no | counterfactual tangent ray-search diagnostic |
|
| 35 |
+
| retrieval_residual_k2grid_broad_safe_ray_margin020 | K2 train-state residual ray search, safe residuals, scales 0.20/0.35/0.50/0.65, advantage margin 0.20 | complete | 34.96% | +5.22 pp | yes | no | no | counterfactual tangent ray-search diagnostic |
|
| 36 |
| retrieval_residual_k4grid_tight_safe_ray_margin020 | K4 train-state residual ray search, safe residuals, scales 0.30/0.40/0.50, advantage margin 0.20 | pending 14868999/14869000 | pending | pending | yes | no | no | counterfactual tangent ray-search diagnostic |
|
| 37 |
| retrieval_residual_k4_scale040_safe_margin020_mean_by_type | K4 train-state residual retrieval, scale 0.40, safe residuals, mean-by-type tangent consensus | complete | 34.96% | +5.22 pp | yes | no | no | counterfactual tangent consensus near-tie ablation |
|
| 38 |
| retrieval_residual_policy_anchor_scale035_safe | Policy-relative train-state residual retrieval, scale 0.35, safe non-expert residuals | complete | 33.74% | +4.00 pp | yes | no | no | policy-relative tangent anchor diagnostic |
|