Auto-sync: 2026-06-28 02:25:24
Browse files- results/README.md +11 -30
- results/dovla_cil_run_report_2026-06-27.md +43 -20
results/README.md
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@@ -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
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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`,
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Completed residual transport jobs:
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Last checked: `2026-06-28
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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.
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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`,
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and `1.25`. Scale `0.50`
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- Job `14859041` completed the CPU Apptainer unit smoke for hybrid
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residual+Gaussian selection.
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- Jobs `14859042`-`14859046` completed residual+Gaussian hybrids. K32/sigma0.35
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reaches 31.30%; K64/sigma0.50 reaches 30.90%, so Gaussian hybridization is a
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negative diagnostic.
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- Jobs `14859191`/`14859192` evaluate and summarize residual scale `0.50` while
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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
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the policy/no-op/wrong-gripper residual families.
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- Job `14859165` completed the Apptainer unit smoke for z-score retrieval
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metric selection.
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- Jobs `
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residual scale `0.50` with the random/wrong-direction mask.
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- Jobs `14859201`/`14859202` evaluate and summarize z-score retrieval at
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residual scale `0.25` with the random/wrong-direction mask.
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- Job `14859203` rebuilds `paper_table_status.*` after all masked and z-score
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summaries.
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- Jobs `14859293`/`14859294` evaluate and summarize a train-family reliability
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prior at residual scale `0.50` with minimum train success `0.10`.
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- Jobs `14859295`/`14859296` evaluate and summarize the same prior at residual
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scale `0.50` with minimum train success `0.25`.
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- Jobs `14859297`/`14859298` evaluate and summarize the same prior at residual
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scale `0.25` with minimum train success `0.25`.
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- Job `14859299` rebuilds `paper_table_status.*` after the reliability-prior
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summaries.
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Paper table automation:
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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 and retrieval diagnostic summaries:
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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`,
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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
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completed 32.12% result is unchanged.
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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`,
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and `1.25`. Scale `0.50` reaches 33.33%; scale `0.25` ties the previous clean
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best at 32.93%.
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- Job `14859041` completed the CPU Apptainer unit smoke for hybrid
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residual+Gaussian selection.
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- Jobs `14859042`-`14859046` completed residual+Gaussian hybrids. K32/sigma0.35
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reaches 31.30%; K64/sigma0.50 reaches 30.90%, so Gaussian hybridization is a
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negative diagnostic.
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- Jobs `14859188`-`14859203` completed masked and z-score residual diagnostics.
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The best clean deployment diagnostic is scale `0.50` with policy/no-op/
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wrong-gripper residual families at 33.68%. Z-score retrieval is negative
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(32.23-32.81%).
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- Job `14859165` completed the Apptainer unit smoke for z-score retrieval
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metric selection.
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- Jobs `14859293`-`14859402` completed train-family reliability-prior
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diagnostics. Thresholds through `0.75` do not filter enough; scale `0.50`
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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
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| Field-selected no-expert policy + field, aligned allmap | 26.49% | -3.25 pp | Aligned field-teacher student remains below baseline |
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| Train-state residual retrieval | 32.12% | +2.38 pp | Positive clean bridge |
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| Train-state residual retrieval, scale 0.25 | 32.93% | +3.19 pp | Smaller tangent step ties prior clean best |
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| Train-state residual retrieval, scale 0.50 | 33.33% | +3.59 pp |
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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 |
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- `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`
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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_hybrid_k32_sigma0p35_summary.md`
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- `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`
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diagnostic: direct student 28.00%, field-guided best 26.49%, despite 100%
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target-map coverage.
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- Residual scale sweep completed. Scale `0.50` is now the strongest
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-
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at 32.93%; scales `0.75` and `1.25` are weaker at 32.70% and 32.52%.
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- Residual+Gaussian hybrids completed as negative diagnostics: K32/sigma0.35 is
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31.30%, K64/sigma0.50 is 30.90%.
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- `14859191`/`14859192`: scale `0.50`, excluding `residual_random_negative` and
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`residual_wrong_direction`.
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- `14859193`/`14859194`: scale `0.25`, excluding the same anti-goal residuals
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- `14859195`/`14859196`: scale `0.50`, keeping policy/no-op/wrong-gripper
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residual families.
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- `14859165`: completed Apptainer unit smoke for the z-score retrieval metric.
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- `14859197`/`14859198`: z-score retrieval at scale `0.50`.
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- `14859199`/`14859200`: z-score retrieval at scale `0.50`, excluding
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`residual_random_negative` and `residual_wrong_direction`.
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- `14859201`/`14859202`: z-score retrieval at scale `0.25`, excluding the same
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anti-goal residuals.
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- `14859203`:
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summaries.
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- `14859293`/`14859294`: train-family reliability prior at scale `0.50`, minimum
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train success `0.10`.
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- `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
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train success `0.25`.
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- `14859299`:
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The motivation for this batch is the observed selected-candidate distribution
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in the 33.33% scale-0.50 run: `residual_random_negative` and
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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
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the residual idea itself.
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The train-family reliability branch
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Use `results/paper_table_status.md` as the canonical current table. The job
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table below is historical and includes statuses that were true at earlier
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| Field-selected no-expert policy + field, aligned allmap | 26.49% | -3.25 pp | Aligned field-teacher student remains below baseline |
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| Train-state residual retrieval | 32.12% | +2.38 pp | Positive clean bridge |
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| Train-state residual retrieval, scale 0.25 | 32.93% | +3.19 pp | Smaller tangent step ties prior clean best |
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| 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 |
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- `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`
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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`
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- `results/h16_policy_ckpt_nonexpert_policy_bc5_bestpt_field_sweep_summary.md`
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diagnostic: direct student 28.00%, field-guided best 26.49%, despite 100%
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target-map coverage.
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- Residual scale sweep completed. Scale `0.50` is now the strongest
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residual-only result at 33.33%; scale `0.25` ties the previous clean best
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at 32.93%; scales `0.75` and `1.25` are weaker at 32.70% and 32.52%.
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- Residual+Gaussian hybrids completed as negative diagnostics: K32/sigma0.35 is
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31.30%, K64/sigma0.50 is 30.90%.
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- Masked residual diagnostics completed. The best current clean deployment
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diagnostic is scale `0.50` with policy/no-op/wrong-gripper residual families
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at 33.68%; excluding random/wrong-direction residuals reaches 33.57%.
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- Z-score retrieval completed as a negative diagnostic: 32.23-32.81%, below raw
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residual retrieval.
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- Train-family reliability priors completed as neutral/negative diagnostics:
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thresholds through `0.75` do not filter the bad residual families and remain
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at 33.33% for scale `0.50`.
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Completed residual-family and retrieval-metric jobs:
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- `14859188`/`14859189`: scale `0.50`, excluding `residual_random_negative`:
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33.45%.
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- `14859191`/`14859192`: scale `0.50`, excluding `residual_random_negative` and
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`residual_wrong_direction`: 33.57%.
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- `14859193`/`14859194`: scale `0.25`, excluding the same anti-goal residuals:
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33.45%.
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- `14859195`/`14859196`: scale `0.50`, keeping policy/no-op/wrong-gripper
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residual families: 33.68%.
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- `14859165`: completed Apptainer unit smoke for the z-score retrieval metric.
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- `14859197`/`14859198`: z-score retrieval at scale `0.50`: 32.23%.
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- `14859199`/`14859200`: z-score retrieval at scale `0.50`, excluding
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`residual_random_negative` and `residual_wrong_direction`: 32.75%.
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- `14859201`/`14859202`: z-score retrieval at scale `0.25`, excluding the same
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anti-goal residuals: 32.81%.
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- `14859203`: rebuilt `paper_table_status.*` after all masked and z-score
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summaries.
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- `14859293`/`14859294`: train-family reliability prior at scale `0.50`, minimum
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train success `0.10`: 33.33%.
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- `14859295`/`14859296`: train-family reliability prior at scale `0.50`, minimum
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train success `0.25`: 33.33%.
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- `14859297`/`14859298`: train-family reliability prior at scale `0.25`, minimum
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train success `0.25`: 32.93%.
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- `14859299`: rebuilt `paper_table_status.*` after reliability-prior summaries.
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- `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
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summaries.
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The motivation for this batch is the observed selected-candidate distribution
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in the 33.33% scale-0.50 run: `residual_random_negative` and
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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
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the residual idea itself.
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The train-family reliability branch was intended as the paper-safe version of
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typed residual masking, but terminal-success thresholds did not filter the
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low-performing families, so it should be framed as a negative diagnostic.
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Use `results/paper_table_status.md` as the canonical current table. The job
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table below is historical and includes statuses that were true at earlier
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