manual-selector-sweep-paper-sync 2026-07-04T04:48:53Z workspace (part 3)
Browse files- workspace/runs/ctt_selector_diagnostic_sweep/command.txt +1 -0
- workspace/runs/ctt_selector_diagnostic_sweep/config.yaml +20 -0
- workspace/runs/ctt_selector_diagnostic_sweep/data_hash.txt +1 -0
- workspace/runs/ctt_selector_diagnostic_sweep/eval.log +3 -0
- workspace/runs/ctt_selector_diagnostic_sweep/git_hash.txt +1 -0
- workspace/runs/ctt_selector_diagnostic_sweep/metrics.json +424 -0
- workspace/runs/ctt_selector_diagnostic_sweep/metrics_by_seed.json +22 -0
- workspace/runs/ctt_selector_diagnostic_sweep/metrics_by_task.json +32 -0
- workspace/runs/ctt_selector_diagnostic_sweep/split_hash.txt +1 -0
- workspace/runs/ctt_selector_diagnostic_sweep/table.tex +10 -0
- workspace/runs/ctt_selector_diagnostic_sweep/train.log +1 -0
- workspace/runs/paper_ctt_audit/audit.json +31 -8
- workspace/runs/paper_ctt_audit/metrics.json +31 -8
- workspace/runs/paper_ctt_audit/table.tex +4 -4
workspace/runs/ctt_selector_diagnostic_sweep/command.txt
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python scripts/build_selector_diagnostic_sweep.py
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workspace/runs/ctt_selector_diagnostic_sweep/config.yaml
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out_dir: runs/ctt_selector_diagnostic_sweep
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selected_min: 0.4745
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proposal_oracle_min: 0.5
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selector_gap_max: 0.03
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+
metrics:
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+
- runs/ctt_base_context_obs_learned_dominance_chartcompat_obs_utility_task_envclip_k16_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_dominance_envclip_k16_train_to_test/metrics.json
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- runs/ctt_base_context_obs_dominance_envclip_k16_train_to_test_tau0/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_basic_tanh_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_context_success_tanh_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_context_tangent_success_tanh_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_context_tangent_tanh_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_context_tanh_train_to_test/metrics.json
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- runs/ctt_base_context_obs_dominance_tanh_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_basic_perdim_trainmax_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_context_perdim_trainmax_train_to_test/metrics.json
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- runs/ctt_base_context_obs_learned_dominance_context_success_perdim_trainmax_train_to_test/metrics.json
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- runs/ctt_base_context_obs_learned_dominance_context_tangent_perdim_trainmax_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_learned_dominance_context_tangent_success_perdim_trainmax_train_to_test/metrics.json
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+
- runs/ctt_base_context_obs_dominance_perdim_trainmax_train_to_test/metrics.json
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workspace/runs/ctt_selector_diagnostic_sweep/data_hash.txt
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2ec8fa640a2fa299e25d9a7decf951077112e2460bbb2c14deab81745b8249af
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workspace/runs/ctt_selector_diagnostic_sweep/eval.log
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num_inputs=15
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families=K8 per-dim trainmax,K8 tanh,K16 env_clip
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overall_pass=False
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workspace/runs/ctt_selector_diagnostic_sweep/git_hash.txt
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14e81292e2004925f81e0bb4810f6f144bfd87b7
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workspace/runs/ctt_selector_diagnostic_sweep/metrics.json
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|
| 1 |
+
{
|
| 2 |
+
"best_by_family": [
|
| 3 |
+
{
|
| 4 |
+
"base_success": 0.3333333333333333,
|
| 5 |
+
"calibration_ece": 0.034447199957771346,
|
| 6 |
+
"coverage": 0.4236111111111111,
|
| 7 |
+
"data_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 8 |
+
"fallback_rate": 0.5763888888888888,
|
| 9 |
+
"family": "K8 per-dim trainmax",
|
| 10 |
+
"hidden_chart_oracle_success": 0.7291666666666666,
|
| 11 |
+
"k": 8,
|
| 12 |
+
"outcome_ptr": 0.3611111111111111,
|
| 13 |
+
"proposal_oracle_success": 0.2222222222222222,
|
| 14 |
+
"report_type": "learned_dominance_selector_eval",
|
| 15 |
+
"run_path": "runs/ctt_base_context_obs_learned_dominance_context_perdim_trainmax_train_to_test",
|
| 16 |
+
"selected_success": 0.3333333333333333,
|
| 17 |
+
"selector": "context/utility_margin, bonus=1.0",
|
| 18 |
+
"selector_regret": 0.11280556699623251,
|
| 19 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f",
|
| 20 |
+
"success_selector_gap": 0.0625,
|
| 21 |
+
"success_support_gap": 0.5138888888888888
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"base_success": 0.3333333333333333,
|
| 25 |
+
"calibration_ece": 0.005483674479356937,
|
| 26 |
+
"coverage": 0.18055555555555555,
|
| 27 |
+
"data_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 28 |
+
"fallback_rate": 0.8194444444444444,
|
| 29 |
+
"family": "K8 tanh",
|
| 30 |
+
"hidden_chart_oracle_success": 0.7291666666666666,
|
| 31 |
+
"k": 8,
|
| 32 |
+
"outcome_ptr": 0.4166666666666667,
|
| 33 |
+
"proposal_oracle_success": 0.3819444444444444,
|
| 34 |
+
"report_type": "learned_dominance_selector_eval",
|
| 35 |
+
"run_path": "runs/ctt_base_context_obs_learned_dominance_context_success_tanh_train_to_test",
|
| 36 |
+
"selected_success": 0.3819444444444444,
|
| 37 |
+
"selector": "context/success, bonus=1.0",
|
| 38 |
+
"selector_regret": 0.23532104610300544,
|
| 39 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f",
|
| 40 |
+
"success_selector_gap": 0.125,
|
| 41 |
+
"success_support_gap": 0.3680555555555556
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"base_success": 0.2916666666666667,
|
| 45 |
+
"calibration_ece": 0.015032666932530015,
|
| 46 |
+
"coverage": 0.6597222222222222,
|
| 47 |
+
"data_hash": "0c38d73dc9bc4ab756e12006671b5d12f1a23358b281e54b3f6a9ae3cbf6e9af",
|
| 48 |
+
"fallback_rate": 0.3402777777777778,
|
| 49 |
+
"family": "K16 env_clip",
|
| 50 |
+
"hidden_chart_oracle_success": 0.7291666666666666,
|
| 51 |
+
"k": 16,
|
| 52 |
+
"outcome_ptr": 0.5486111111111112,
|
| 53 |
+
"proposal_oracle_success": 0.5694444444444444,
|
| 54 |
+
"report_type": "learned_dominance_selector_eval",
|
| 55 |
+
"run_path": "runs/ctt_base_context_obs_learned_dominance_chartcompat_obs_utility_task_envclip_k16_train_to_test",
|
| 56 |
+
"selected_success": 0.3541666666666667,
|
| 57 |
+
"selector": "chart_compat/utility_margin, chartcompat_obs",
|
| 58 |
+
"selector_regret": 0.4511945542892338,
|
| 59 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f",
|
| 60 |
+
"success_selector_gap": 0.24305555555555555,
|
| 61 |
+
"success_support_gap": 0.2013888888888889
|
| 62 |
+
}
|
| 63 |
+
],
|
| 64 |
+
"data_hash": "2ec8fa640a2fa299e25d9a7decf951077112e2460bbb2c14deab81745b8249af",
|
| 65 |
+
"gates": [
|
| 66 |
+
{
|
| 67 |
+
"family": "K8 per-dim trainmax",
|
| 68 |
+
"pass": false,
|
| 69 |
+
"proposal_oracle_success": 0.2222222222222222,
|
| 70 |
+
"selected_success": 0.3333333333333333,
|
| 71 |
+
"selector": "context/utility_margin, bonus=1.0",
|
| 72 |
+
"status": "diagnostic_only",
|
| 73 |
+
"success_selector_gap": 0.0625
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"family": "K8 tanh",
|
| 77 |
+
"pass": false,
|
| 78 |
+
"proposal_oracle_success": 0.3819444444444444,
|
| 79 |
+
"selected_success": 0.3819444444444444,
|
| 80 |
+
"selector": "context/success, bonus=1.0",
|
| 81 |
+
"status": "diagnostic_only",
|
| 82 |
+
"success_selector_gap": 0.125
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"family": "K16 env_clip",
|
| 86 |
+
"pass": false,
|
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| 369 |
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{
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"run_path": "runs/ctt_base_context_obs_learned_dominance_context_tangent_success_perdim_trainmax_train_to_test",
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"selector": "context_tangent/success, bonus=1.0",
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| 394 |
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{
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| 406 |
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"report_type": "dominance_calibrated_selector_eval",
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| 407 |
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"run_path": "runs/ctt_base_context_obs_dominance_perdim_trainmax_train_to_test",
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| 408 |
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"selected_success": 0.3263888888888889,
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"selector": "LCB auto",
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"selector_regret": 0.11593854168636931,
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| 414 |
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}
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| 415 |
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],
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"schema_version": 1,
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"selection_rule": "best selected_success per diagnostic family; all candidate rows retained",
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"split_hash": "3281cb880470bb0158a5055eeb059e90f2af4a005944132e01504c225160d8c5",
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| 423 |
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| 424 |
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workspace/runs/ctt_selector_diagnostic_sweep/metrics_by_seed.json
ADDED
|
@@ -0,0 +1,22 @@
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|
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|
|
| 1 |
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{
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| 2 |
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"16": {
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| 3 |
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"base_success": 0.2916666666666667,
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| 4 |
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"calibration_ece": 0.11388905660618416,
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| 5 |
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"coverage": 0.3009259259259259,
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| 6 |
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"outcome_ptr": 0.5486111111111112,
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"proposal_oracle_success": 0.5694444444444444,
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| 8 |
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"selected_success": 0.3078703703703704,
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| 9 |
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| 10 |
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"success_support_gap": 0.20138888888888892
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| 11 |
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},
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| 12 |
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"8": {
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| 13 |
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| 18 |
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"selected_success": 0.3333333333333333,
|
| 19 |
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"success_selector_gap": 0.10474537037037035,
|
| 20 |
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"success_support_gap": 0.4409722222222223
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| 21 |
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}
|
| 22 |
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}
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workspace/runs/ctt_selector_diagnostic_sweep/metrics_by_task.json
ADDED
|
@@ -0,0 +1,32 @@
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{
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"K16 env_clip": {
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|
| 10 |
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|
| 11 |
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},
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"K8 per-dim trainmax": {
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| 13 |
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|
| 14 |
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|
| 15 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 28 |
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| 32 |
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workspace/runs/ctt_selector_diagnostic_sweep/split_hash.txt
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
3281cb880470bb0158a5055eeb059e90f2af4a005944132e01504c225160d8c5
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workspace/runs/ctt_selector_diagnostic_sweep/table.tex
ADDED
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@@ -0,0 +1,10 @@
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| 1 |
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% Auto-generated by scripts/build_selector_diagnostic_sweep.py
|
| 2 |
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\begin{tabular}{llrrrrrr}
|
| 3 |
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\toprule
|
| 4 |
+
Family & Best selector & Base & Selected & Proposal & Coverage & Sel. gap & Support gap \\
|
| 5 |
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\midrule
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| 6 |
+
K8 per-dim trainmax & context/utility\_margin, bonus=1.0 & 0.3333 & 0.3333 & 0.2222 & 0.4236 & 0.0625 & 0.5139 \\
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| 7 |
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K8 tanh & context/success, bonus=1.0 & 0.3333 & 0.3819 & 0.3819 & 0.1806 & 0.1250 & 0.3681 \\
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| 8 |
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K16 env\_clip & chart\_compat/utility\_margin, chartcompat\_obs & 0.2917 & 0.3542 & 0.5694 & 0.6597 & 0.2431 & 0.2014 \\
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| 9 |
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\bottomrule
|
| 10 |
+
\end{tabular}
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workspace/runs/ctt_selector_diagnostic_sweep/train.log
ADDED
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@@ -0,0 +1 @@
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|
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| 1 |
+
selector sweep artifact; source selectors trained separately
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workspace/runs/paper_ctt_audit/audit.json
CHANGED
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@@ -243,28 +243,35 @@
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| 247 |
"raw": "../runs/ctt_outcome_acceptance_gate/table",
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| 256 |
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| 259 |
{
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| 263 |
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| 264 |
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| 267 |
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"line":
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| 269 |
"resolved": "runs/paper_ctt_audit/table.tex",
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| 270 |
"run_dir": "runs/paper_ctt_audit",
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|
@@ -300,6 +307,7 @@
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|
| 300 |
"runs/ctt_learned_dominance_val_to_test",
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| 301 |
"runs/ctt_outcome_acceptance_gate",
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| 302 |
"runs/ctt_residual_smoke_proxy",
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| 303 |
"runs/ctt_test_rollout_comparison",
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| 304 |
"runs/ctt_val_proxy_comparison",
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| 305 |
"runs/ctt_val_rollout_comparison",
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|
@@ -410,6 +418,12 @@
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| 410 |
"path": "scripts/calibrate_dominance.py",
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| 411 |
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| 412 |
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| 413 |
{
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| 414 |
"detail": "Theory section included by paper.",
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| 415 |
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@@ -726,6 +740,15 @@
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| 726 |
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| 727 |
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| 728 |
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@@ -776,9 +799,9 @@
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| 307 |
"runs/ctt_learned_dominance_val_to_test",
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| 308 |
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| 309 |
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| 310 |
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"runs/ctt_selector_diagnostic_sweep",
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| 418 |
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| 802 |
+
"num_paper_inputs": 39,
|
| 803 |
+
"num_run_dirs_in_paper": 34,
|
| 804 |
+
"num_warnings": 34,
|
| 805 |
"status": "pass"
|
| 806 |
}
|
| 807 |
}
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workspace/runs/paper_ctt_audit/metrics.json
CHANGED
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@@ -6,7 +6,7 @@
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|
| 6 |
"forbidden_patterns": [],
|
| 7 |
"paper": "latex/main.tex",
|
| 8 |
"paper_inputs": {
|
| 9 |
-
"num_inputs":
|
| 10 |
"num_missing": 0,
|
| 11 |
"rows": [
|
| 12 |
{
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|
@@ -243,28 +243,35 @@
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|
| 243 |
"status": "pass"
|
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},
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{
|
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-
"line":
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|
| 247 |
"raw": "../runs/ctt_outcome_acceptance_gate/table",
|
| 248 |
"resolved": "runs/ctt_outcome_acceptance_gate/table.tex",
|
| 249 |
"run_dir": "runs/ctt_outcome_acceptance_gate",
|
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"status": "pass"
|
| 251 |
},
|
| 252 |
{
|
| 253 |
-
"line":
|
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"raw": "../runs/ctt_base_context_obs_learned_dominance_train_to_test/table",
|
| 255 |
"resolved": "runs/ctt_base_context_obs_learned_dominance_train_to_test/table.tex",
|
| 256 |
"run_dir": "runs/ctt_base_context_obs_learned_dominance_train_to_test",
|
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"status": "pass"
|
| 258 |
},
|
| 259 |
{
|
| 260 |
-
"line":
|
| 261 |
"raw": "../runs/ctt_base_context_obs_nonlinear_dominance_basic_positive_train_to_test/table.tex",
|
| 262 |
"resolved": "runs/ctt_base_context_obs_nonlinear_dominance_basic_positive_train_to_test/table.tex",
|
| 263 |
"run_dir": "runs/ctt_base_context_obs_nonlinear_dominance_basic_positive_train_to_test",
|
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"status": "pass"
|
| 265 |
},
|
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{
|
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-
"line":
|
| 268 |
"raw": "../runs/paper_ctt_audit/table",
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"resolved": "runs/paper_ctt_audit/table.tex",
|
| 270 |
"run_dir": "runs/paper_ctt_audit",
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|
@@ -300,6 +307,7 @@
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| 300 |
"runs/ctt_learned_dominance_val_to_test",
|
| 301 |
"runs/ctt_outcome_acceptance_gate",
|
| 302 |
"runs/ctt_residual_smoke_proxy",
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|
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|
| 303 |
"runs/ctt_test_rollout_comparison",
|
| 304 |
"runs/ctt_val_proxy_comparison",
|
| 305 |
"runs/ctt_val_rollout_comparison",
|
|
@@ -410,6 +418,12 @@
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|
| 410 |
"path": "scripts/calibrate_dominance.py",
|
| 411 |
"status": "pass"
|
| 412 |
},
|
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| 413 |
{
|
| 414 |
"detail": "Theory section included by paper.",
|
| 415 |
"name": "theory_tex",
|
|
@@ -726,6 +740,15 @@
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|
| 726 |
"run_dir": "runs/ctt_residual_smoke_proxy",
|
| 727 |
"status": "pass"
|
| 728 |
},
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|
| 729 |
{
|
| 730 |
"markdown_report_policy": "warning_only_consolidated_readme",
|
| 731 |
"missing_advisor_contract": [
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|
@@ -776,9 +799,9 @@
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|
| 776 |
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| 777 |
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| 778 |
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| 779 |
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"num_paper_inputs":
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| 780 |
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"num_run_dirs_in_paper":
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| 781 |
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"num_warnings":
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| 782 |
"status": "pass"
|
| 783 |
}
|
| 784 |
}
|
|
|
|
| 6 |
"forbidden_patterns": [],
|
| 7 |
"paper": "latex/main.tex",
|
| 8 |
"paper_inputs": {
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| 9 |
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"num_inputs": 39,
|
| 10 |
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|
| 11 |
"rows": [
|
| 12 |
{
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|
| 243 |
"status": "pass"
|
| 244 |
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|
| 245 |
{
|
| 246 |
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"line": 1067,
|
| 247 |
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"raw": "../runs/ctt_selector_diagnostic_sweep/table",
|
| 248 |
+
"resolved": "runs/ctt_selector_diagnostic_sweep/table.tex",
|
| 249 |
+
"run_dir": "runs/ctt_selector_diagnostic_sweep",
|
| 250 |
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"status": "pass"
|
| 251 |
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|
| 252 |
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{
|
| 253 |
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"line": 1089,
|
| 254 |
"raw": "../runs/ctt_outcome_acceptance_gate/table",
|
| 255 |
"resolved": "runs/ctt_outcome_acceptance_gate/table.tex",
|
| 256 |
"run_dir": "runs/ctt_outcome_acceptance_gate",
|
| 257 |
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|
| 258 |
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|
| 259 |
{
|
| 260 |
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"line": 1120,
|
| 261 |
"raw": "../runs/ctt_base_context_obs_learned_dominance_train_to_test/table",
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| 262 |
"resolved": "runs/ctt_base_context_obs_learned_dominance_train_to_test/table.tex",
|
| 263 |
"run_dir": "runs/ctt_base_context_obs_learned_dominance_train_to_test",
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| 264 |
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|
| 265 |
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|
| 266 |
{
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| 267 |
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"line": 1144,
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| 268 |
"raw": "../runs/ctt_base_context_obs_nonlinear_dominance_basic_positive_train_to_test/table.tex",
|
| 269 |
"resolved": "runs/ctt_base_context_obs_nonlinear_dominance_basic_positive_train_to_test/table.tex",
|
| 270 |
"run_dir": "runs/ctt_base_context_obs_nonlinear_dominance_basic_positive_train_to_test",
|
| 271 |
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|
| 272 |
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|
| 273 |
{
|
| 274 |
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"line": 1251,
|
| 275 |
"raw": "../runs/paper_ctt_audit/table",
|
| 276 |
"resolved": "runs/paper_ctt_audit/table.tex",
|
| 277 |
"run_dir": "runs/paper_ctt_audit",
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|
|
|
| 307 |
"runs/ctt_learned_dominance_val_to_test",
|
| 308 |
"runs/ctt_outcome_acceptance_gate",
|
| 309 |
"runs/ctt_residual_smoke_proxy",
|
| 310 |
+
"runs/ctt_selector_diagnostic_sweep",
|
| 311 |
"runs/ctt_test_rollout_comparison",
|
| 312 |
"runs/ctt_val_proxy_comparison",
|
| 313 |
"runs/ctt_val_rollout_comparison",
|
|
|
|
| 418 |
"path": "scripts/calibrate_dominance.py",
|
| 419 |
"status": "pass"
|
| 420 |
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|
| 421 |
+
{
|
| 422 |
+
"detail": "Selector diagnostic sweep summary.",
|
| 423 |
+
"name": "selector_diagnostic_sweep",
|
| 424 |
+
"path": "scripts/build_selector_diagnostic_sweep.py",
|
| 425 |
+
"status": "pass"
|
| 426 |
+
},
|
| 427 |
{
|
| 428 |
"detail": "Theory section included by paper.",
|
| 429 |
"name": "theory_tex",
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|
|
|
| 740 |
"run_dir": "runs/ctt_residual_smoke_proxy",
|
| 741 |
"status": "pass"
|
| 742 |
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|
| 743 |
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{
|
| 744 |
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"markdown_report_policy": "warning_only_consolidated_readme",
|
| 745 |
+
"missing_advisor_contract": [
|
| 746 |
+
"report.md"
|
| 747 |
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],
|
| 748 |
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"missing_required": [],
|
| 749 |
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"run_dir": "runs/ctt_selector_diagnostic_sweep",
|
| 750 |
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"status": "pass"
|
| 751 |
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|
| 752 |
{
|
| 753 |
"markdown_report_policy": "warning_only_consolidated_readme",
|
| 754 |
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|
| 799 |
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|
| 800 |
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|
| 801 |
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|
| 802 |
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| 803 |
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|
| 805 |
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|
| 807 |
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|
workspace/runs/paper_ctt_audit/table.tex
CHANGED
|
@@ -4,9 +4,9 @@
|
|
| 4 |
Audit item & Count & Status \\
|
| 5 |
\midrule
|
| 6 |
Forbidden language matches & 0 & pass \\
|
| 7 |
-
Paper inputs &
|
| 8 |
-
Run dirs in paper &
|
| 9 |
-
Implementation paths &
|
| 10 |
-
Advisor-contract warnings &
|
| 11 |
\bottomrule
|
| 12 |
\end{tabular}
|
|
|
|
| 4 |
Audit item & Count & Status \\
|
| 5 |
\midrule
|
| 6 |
Forbidden language matches & 0 & pass \\
|
| 7 |
+
Paper inputs & 39 & pass \\
|
| 8 |
+
Run dirs in paper & 34 & pass \\
|
| 9 |
+
Implementation paths & 21 & pass \\
|
| 10 |
+
Advisor-contract warnings & 34 & warn \\
|
| 11 |
\bottomrule
|
| 12 |
\end{tabular}
|