Auto-sync: 2026-06-28 13:02:56 (part 2)

results/README.md

@@ -89,7 +89,8 @@ Completed deployment-clean diagnostics:
 
 Completed residual transport jobs:
 
-Last checked: `2026-06-28 16:46 UTC`. No DoVLA jobs are currently queued.
+Last checked: `2026-06-28 17:14 UTC`. Ray-search jobs are queued, pending on
+GPU priority.
 
 - Code supports `--retrieval-residual-scale`, defaulting to `1.0` so the
   completed 32.12% result is unchanged.
@@ -135,6 +136,15 @@ Last checked: `2026-06-28 16:46 UTC`. No DoVLA jobs are currently queued.
 - Jobs `14868693`-`14868700` completed the clean mean-by-type tangent consensus
   sweep. K4, scale `0.40`, margin `0.20` reaches 34.96%, close to but below the
   35.01% K2 raw residual best.
+- Jobs `14868798`-`14868805` completed the consensus follow-up. K4 mean scales
+  `0.425` and `0.45` reach 34.72% and 34.84%; K4 median and K8 mean at scale
+  `0.40` both reach 34.67%. K2 raw residual transport remains the best clean row.
+- Jobs `14868993`/`14868995`/`14868997`/`14868999` are pending counterfactual
+  tangent ray-search rollouts. Summary jobs `14868994`/`14868996`/`14868998`/
+  `14869000` and table rebuild job `14869605` are dependency-gated on them.
+- Job `14869627` completed the CPU Apptainer smoke for the residual scale-grid
+  selector: selected index `3` and returned action `0.20` on the toy ray-search
+  case, validating candidate expansion before rollout.
 
 Paper table automation:
 

results/dovla_cil_run_report_2026-06-27.md

@@ -131,6 +131,9 @@ Completed since the first report:
   `0.40`, margin `0.20` reaches 35.01%.
 - Mean-by-type tangent consensus completed as a near-tie clean diagnostic: K4
   retrieval at scale `0.40`, margin `0.20` reaches 34.96%, below K2 raw residuals.
+- Consensus follow-up completed without improvement: K4 mean scales `0.425` and
+  `0.45` reach 34.72% and 34.84%, while K4 median and K8 mean at scale `0.40`
+  both reach 34.67%.
 - Same-state policy-baseline fallback completed as a negative mechanism
   diagnostic: prepending the policy candidate drops no-expert lattice selection
   from 56.99% to 40.70%.