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results/README.md CHANGED
@@ -24,7 +24,7 @@ Use these summaries for the current paper tables:
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  - `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
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  - residual scale-sweep summaries:
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  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale{0p25,0p50,0p75,1p25}_summary.md`
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- - residual-family mask summaries, currently active:
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  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_zscore_summary.md`,
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  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_zscore_no_random_wrongdir_summary.md`,
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  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p25_zscore_no_random_wrongdir_summary.md`,
@@ -82,7 +82,7 @@ Completed deployment-clean diagnostics:
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  Completed residual transport jobs:
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- Last checked: `2026-06-28 05:47 UTC`.
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  - Code supports `--retrieval-residual-scale`, defaulting to `1.0` so the
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  completed 32.12% result is unchanged.
@@ -90,42 +90,23 @@ Last checked: `2026-06-28 05:47 UTC`.
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  selection after smoke jobs `14858889`/`14858894` caught two wiring bugs before
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  rollout jobs started.
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  - Jobs `14858875`-`14858883` completed residual scales `0.25`, `0.50`, `0.75`,
93
- and `1.25`. Scale `0.50` is the current best clean deployment bridge at
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- 33.33%; scale `0.25` ties the previous clean best at 32.93%.
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  - Job `14859041` completed the CPU Apptainer unit smoke for hybrid
96
  residual+Gaussian selection.
97
  - Jobs `14859042`-`14859046` completed residual+Gaussian hybrids. K32/sigma0.35
98
  reaches 31.30%; K64/sigma0.50 reaches 30.90%, so Gaussian hybridization is a
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  negative diagnostic.
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101
- Active residual-family mask jobs:
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-
103
- - Jobs `14859188`/`14859189` evaluate and summarize residual scale `0.50` while
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- excluding `residual_random_negative`.
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- - Jobs `14859191`/`14859192` evaluate and summarize residual scale `0.50` while
106
- excluding `residual_random_negative` and `residual_wrong_direction`.
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- - Jobs `14859193`/`14859194` evaluate and summarize residual scale `0.25` with
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- the same random/wrong-direction mask.
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- - Jobs `14859195`/`14859196` evaluate and summarize residual scale `0.50` with
110
- the policy/no-op/wrong-gripper residual families.
111
  - Job `14859165` completed the Apptainer unit smoke for z-score retrieval
112
  metric selection.
113
- - Jobs `14859197`/`14859198` evaluate and summarize z-score retrieval at
114
- residual scale `0.50`.
115
- - Jobs `14859199`/`14859200` evaluate and summarize z-score retrieval at
116
- residual scale `0.50` with the random/wrong-direction mask.
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- - Jobs `14859201`/`14859202` evaluate and summarize z-score retrieval at
118
- residual scale `0.25` with the random/wrong-direction mask.
119
- - Job `14859203` rebuilds `paper_table_status.*` after all masked and z-score
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- summaries.
121
- - Jobs `14859293`/`14859294` evaluate and summarize a train-family reliability
122
- prior at residual scale `0.50` with minimum train success `0.10`.
123
- - Jobs `14859295`/`14859296` evaluate and summarize the same prior at residual
124
- scale `0.50` with minimum train success `0.25`.
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- - Jobs `14859297`/`14859298` evaluate and summarize the same prior at residual
126
- scale `0.25` with minimum train success `0.25`.
127
- - Job `14859299` rebuilds `paper_table_status.*` after the reliability-prior
128
- summaries.
129
 
130
  Paper table automation:
131
 
 
24
  - `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
25
  - residual scale-sweep summaries:
26
  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale{0p25,0p50,0p75,1p25}_summary.md`
27
+ - residual-family mask and retrieval diagnostic summaries:
28
  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_zscore_summary.md`,
29
  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_zscore_no_random_wrongdir_summary.md`,
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  `h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p25_zscore_no_random_wrongdir_summary.md`,
 
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  Completed residual transport jobs:
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+ Last checked: `2026-06-28 06:24 UTC`. No DoVLA jobs are currently queued.
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  - Code supports `--retrieval-residual-scale`, defaulting to `1.0` so the
88
  completed 32.12% result is unchanged.
 
90
  selection after smoke jobs `14858889`/`14858894` caught two wiring bugs before
91
  rollout jobs started.
92
  - Jobs `14858875`-`14858883` completed residual scales `0.25`, `0.50`, `0.75`,
93
+ and `1.25`. Scale `0.50` reaches 33.33%; scale `0.25` ties the previous clean
94
+ best at 32.93%.
95
  - Job `14859041` completed the CPU Apptainer unit smoke for hybrid
96
  residual+Gaussian selection.
97
  - Jobs `14859042`-`14859046` completed residual+Gaussian hybrids. K32/sigma0.35
98
  reaches 31.30%; K64/sigma0.50 reaches 30.90%, so Gaussian hybridization is a
99
  negative diagnostic.
100
 
101
+ - Jobs `14859188`-`14859203` completed masked and z-score residual diagnostics.
102
+ The best clean deployment diagnostic is scale `0.50` with policy/no-op/
103
+ wrong-gripper residual families at 33.68%. Z-score retrieval is negative
104
+ (32.23-32.81%).
 
 
 
 
 
 
105
  - Job `14859165` completed the Apptainer unit smoke for z-score retrieval
106
  metric selection.
107
+ - Jobs `14859293`-`14859402` completed train-family reliability-prior
108
+ diagnostics. Thresholds through `0.75` do not filter enough; scale `0.50`
109
+ stays at 33.33%, and scale `0.25`/threshold `0.25` is 32.93%.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Paper table automation:
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results/dovla_cil_run_report_2026-06-27.md CHANGED
@@ -29,7 +29,11 @@ The deployed h=16 behavior-cloning policy remains weak, but the interventional f
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  | Field-selected no-expert policy + field, aligned allmap | 26.49% | -3.25 pp | Aligned field-teacher student remains below baseline |
30
  | Train-state residual retrieval | 32.12% | +2.38 pp | Positive clean bridge |
31
  | Train-state residual retrieval, scale 0.25 | 32.93% | +3.19 pp | Smaller tangent step ties prior clean best |
32
- | Train-state residual retrieval, scale 0.50 | 33.33% | +3.59 pp | Current best deployment-clean bridge |
 
 
 
 
33
  | Train-state residual retrieval, scale 0.75 | 32.70% | +2.96 pp | Larger tangent step is weaker |
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  | Train-state residual retrieval, scale 1.25 | 32.52% | +2.78 pp | Further scale increase does not help |
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  | Residual+Gaussian hybrid, K32 sigma0.35 | 31.30% | +1.57 pp | Hybrid proposals dilute residual transport |
@@ -55,6 +59,9 @@ Canonical summaries:
55
  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_v2_summary.md`
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  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
57
  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_summary.md`
 
 
 
58
  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_hybrid_k32_sigma0p35_summary.md`
59
  - `results/h16_policy_ckpt_nonexpert_policy_bc5_summary.md`
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  - `results/h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.md`
@@ -95,34 +102,50 @@ Completed since the first report:
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  diagnostic: direct student 28.00%, field-guided best 26.49%, despite 100%
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  target-map coverage.
97
  - Residual scale sweep completed. Scale `0.50` is now the strongest
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- deployment-clean result at 33.33%; scale `0.25` ties the previous clean best
99
  at 32.93%; scales `0.75` and `1.25` are weaker at 32.70% and 32.52%.
100
  - Residual+Gaussian hybrids completed as negative diagnostics: K32/sigma0.35 is
101
  31.30%, K64/sigma0.50 is 30.90%.
102
-
103
- Active residual-family mask jobs:
104
-
105
- - `14859188`/`14859189`: scale `0.50`, excluding `residual_random_negative`.
 
 
 
 
 
 
 
 
 
106
  - `14859191`/`14859192`: scale `0.50`, excluding `residual_random_negative` and
107
- `residual_wrong_direction`.
108
- - `14859193`/`14859194`: scale `0.25`, excluding the same anti-goal residuals.
 
109
  - `14859195`/`14859196`: scale `0.50`, keeping policy/no-op/wrong-gripper
110
- residual families.
111
  - `14859165`: completed Apptainer unit smoke for the z-score retrieval metric.
112
- - `14859197`/`14859198`: z-score retrieval at scale `0.50`.
113
  - `14859199`/`14859200`: z-score retrieval at scale `0.50`, excluding
114
- `residual_random_negative` and `residual_wrong_direction`.
115
  - `14859201`/`14859202`: z-score retrieval at scale `0.25`, excluding the same
116
- anti-goal residuals.
117
- - `14859203`: rebuilds `paper_table_status.*` after all masked and z-score
118
  summaries.
119
  - `14859293`/`14859294`: train-family reliability prior at scale `0.50`, minimum
120
- train success `0.10`.
121
  - `14859295`/`14859296`: train-family reliability prior at scale `0.50`, minimum
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- train success `0.25`.
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  - `14859297`/`14859298`: train-family reliability prior at scale `0.25`, minimum
124
- train success `0.25`.
125
- - `14859299`: rebuilds `paper_table_status.*` after reliability-prior summaries.
 
 
 
 
 
 
126
 
127
  The motivation for this batch is the observed selected-candidate distribution
128
  in the 33.33% scale-0.50 run: `residual_random_negative` and
@@ -133,9 +156,9 @@ proposal family is consistent with the counterfactual field's local geometry.
133
  The z-score branch tests the other half of the same bottleneck: whether nearest
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  train-state tangent transport was limited by raw feature scale rather than by
135
  the residual idea itself.
136
- The train-family reliability branch is the paper-safe version of typed residual
137
- masking: it filters residual families using only train-split terminal success
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- rates, never validation candidate rewards.
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140
  Use `results/paper_table_status.md` as the canonical current table. The job
141
  table below is historical and includes statuses that were true at earlier
 
29
  | Field-selected no-expert policy + field, aligned allmap | 26.49% | -3.25 pp | Aligned field-teacher student remains below baseline |
30
  | Train-state residual retrieval | 32.12% | +2.38 pp | Positive clean bridge |
31
  | Train-state residual retrieval, scale 0.25 | 32.93% | +3.19 pp | Smaller tangent step ties prior clean best |
32
+ | Train-state residual retrieval, scale 0.50 | 33.33% | +3.59 pp | Calibrated residual transport |
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+ | Train-state residual retrieval, no random/wrong-direction | 33.57% | +3.83 pp | Anti-goal family mask improves clean bridge |
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+ | Train-state residual retrieval, policy/no-op/wrong-gripper | 33.68% | +3.94 pp | Current best deployment-clean diagnostic |
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+ | Train-state residual retrieval, z-score metric | 32.23% | +2.49 pp | State normalization hurts retrieval here |
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+ | Train-state residual retrieval, train-family reliability prior | 33.33% | +3.59 pp | Train success thresholds did not filter enough |
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  | Train-state residual retrieval, scale 0.75 | 32.70% | +2.96 pp | Larger tangent step is weaker |
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  | Train-state residual retrieval, scale 1.25 | 32.52% | +2.78 pp | Further scale increase does not help |
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  | Residual+Gaussian hybrid, K32 sigma0.35 | 31.30% | +1.57 pp | Hybrid proposals dilute residual transport |
 
59
  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_v2_summary.md`
60
  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_knn4_v2_summary.md`
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  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_summary.md`
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+ - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_safe_types_summary.md`
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+ - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_zscore_summary.md`
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+ - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_scale0p50_type_success0p75_summary.md`
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  - `results/h16_policy_ckpt_near_miss_policy_bc5_bestpt_retrieval_residual_hybrid_k32_sigma0p35_summary.md`
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  - `results/h16_policy_ckpt_nonexpert_policy_bc5_summary.md`
67
  - `results/h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.md`
 
102
  diagnostic: direct student 28.00%, field-guided best 26.49%, despite 100%
103
  target-map coverage.
104
  - Residual scale sweep completed. Scale `0.50` is now the strongest
105
+ residual-only result at 33.33%; scale `0.25` ties the previous clean best
106
  at 32.93%; scales `0.75` and `1.25` are weaker at 32.70% and 32.52%.
107
  - Residual+Gaussian hybrids completed as negative diagnostics: K32/sigma0.35 is
108
  31.30%, K64/sigma0.50 is 30.90%.
109
+ - Masked residual diagnostics completed. The best current clean deployment
110
+ diagnostic is scale `0.50` with policy/no-op/wrong-gripper residual families
111
+ at 33.68%; excluding random/wrong-direction residuals reaches 33.57%.
112
+ - Z-score retrieval completed as a negative diagnostic: 32.23-32.81%, below raw
113
+ residual retrieval.
114
+ - Train-family reliability priors completed as neutral/negative diagnostics:
115
+ thresholds through `0.75` do not filter the bad residual families and remain
116
+ at 33.33% for scale `0.50`.
117
+
118
+ Completed residual-family and retrieval-metric jobs:
119
+
120
+ - `14859188`/`14859189`: scale `0.50`, excluding `residual_random_negative`:
121
+ 33.45%.
122
  - `14859191`/`14859192`: scale `0.50`, excluding `residual_random_negative` and
123
+ `residual_wrong_direction`: 33.57%.
124
+ - `14859193`/`14859194`: scale `0.25`, excluding the same anti-goal residuals:
125
+ 33.45%.
126
  - `14859195`/`14859196`: scale `0.50`, keeping policy/no-op/wrong-gripper
127
+ residual families: 33.68%.
128
  - `14859165`: completed Apptainer unit smoke for the z-score retrieval metric.
129
+ - `14859197`/`14859198`: z-score retrieval at scale `0.50`: 32.23%.
130
  - `14859199`/`14859200`: z-score retrieval at scale `0.50`, excluding
131
+ `residual_random_negative` and `residual_wrong_direction`: 32.75%.
132
  - `14859201`/`14859202`: z-score retrieval at scale `0.25`, excluding the same
133
+ anti-goal residuals: 32.81%.
134
+ - `14859203`: rebuilt `paper_table_status.*` after all masked and z-score
135
  summaries.
136
  - `14859293`/`14859294`: train-family reliability prior at scale `0.50`, minimum
137
+ train success `0.10`: 33.33%.
138
  - `14859295`/`14859296`: train-family reliability prior at scale `0.50`, minimum
139
+ train success `0.25`: 33.33%.
140
  - `14859297`/`14859298`: train-family reliability prior at scale `0.25`, minimum
141
+ train success `0.25`: 32.93%.
142
+ - `14859299`: rebuilt `paper_table_status.*` after reliability-prior summaries.
143
+ - `14859398`/`14859399`: train-family reliability prior at scale `0.50`, minimum
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+ train success `0.50`: 33.33%.
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+ - `14859400`/`14859401`: train-family reliability prior at scale `0.50`, minimum
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+ train success `0.75`: 33.33%.
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+ - `14859402`: rebuilt `paper_table_status.*` after high-threshold reliability
148
+ summaries.
149
 
150
  The motivation for this batch is the observed selected-candidate distribution
151
  in the 33.33% scale-0.50 run: `residual_random_negative` and
 
156
  The z-score branch tests the other half of the same bottleneck: whether nearest
157
  train-state tangent transport was limited by raw feature scale rather than by
158
  the residual idea itself.
159
+ The train-family reliability branch was intended as the paper-safe version of
160
+ typed residual masking, but terminal-success thresholds did not filter the
161
+ low-performing families, so it should be framed as a negative diagnostic.
162
 
163
  Use `results/paper_table_status.md` as the canonical current table. The job
164
  table below is historical and includes statuses that were true at earlier