auto-sync 2026-07-03T22:52:00Z workspace

workspace/latex/main.aux

@@ -89,32 +89,36 @@
 \newlabel{tab:ctt-base-context-obs-val-scaled-rollout}{{11}{16}{Scaled raw-action validation refresh for \texttt {base\_context\_obs}, K=8, with \texttt {--execution-action-scale 0.215} and clipping disabled. This is a diagnostic convention suggested by the action-bound audit, not a final action representation}{table.11}{}}
 \@writefile{lot}{\contentsline {table}{\numberline {12}{\ignorespaces Scaled raw-action held-out test refresh for \texttt  {base\_context\_obs}, K=8, with \texttt  {--execution-action-scale 0.215} and clipping disabled. The global scale improves base action-bound validity but does not preserve proposal support.}}{17}{table.12}\protected@file@percent }
 \newlabel{tab:ctt-base-context-obs-test-scaled-rollout}{{12}{17}{Scaled raw-action held-out test refresh for \texttt {base\_context\_obs}, K=8, with \texttt {--execution-action-scale 0.215} and clipping disabled. The global scale improves base action-bound validity but does not preserve proposal support}{table.12}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {13}{\ignorespaces Bounded \texttt  {tanh} validation refresh for \texttt  {base\_context\_obs}, K=8, with clipping disabled. This action convention maps decoded controls into finite action bounds before validity checks.}}{18}{table.13}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-val-tanh-rollout}{{13}{18}{Bounded \texttt {tanh} validation refresh for \texttt {base\_context\_obs}, K=8, with clipping disabled. This action convention maps decoded controls into finite action bounds before validity checks}{table.13}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {14}{\ignorespaces Bounded \texttt  {tanh} held-out test refresh for \texttt  {base\_context\_obs}, K=8, with clipping disabled. The convention is action-bound-clean but selected success remains below the tanh base action.}}{19}{table.14}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-test-tanh-rollout}{{14}{19}{Bounded \texttt {tanh} held-out test refresh for \texttt {base\_context\_obs}, K=8, with clipping disabled. The convention is action-bound-clean but selected success remains below the tanh base action}{table.14}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {15}{\ignorespaces Measured residual \textsc  {CTT}{} rollout on 69 validation positive-support charts across three train seeds, K=8. Generated candidates are decoded and executed from restored simulator states; these are measured outcome metrics, not \ensuremath  {\mathrm  {PPTC}}{} proxies.}}{20}{table.15}\protected@file@percent }
-\newlabel{tab:ctt-val-rollout}{{15}{20}{Measured residual \ctt {} rollout on 69 validation positive-support charts across three train seeds, K=8. Generated candidates are decoded and executed from restored simulator states; these are measured outcome metrics, not \pptc {} proxies}{table.15}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {16}{\ignorespaces Measured validation rollout for the proxy-positive \texttt  {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. The RGB-stat chart token improves support-side validation metrics, but the selected action still fails to beat the base action.}}{21}{table.16}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-val-rollout}{{16}{21}{Measured validation rollout for the proxy-positive \texttt {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. The RGB-stat chart token improves support-side validation metrics, but the selected action still fails to beat the base action}{table.16}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {17}{\ignorespaces Measured validation rollout for the deterministic RGB object-layout chart token, across three train seeds, K=8. The proxy gate passes by mean positive distance, but measured rollout does not improve over the RGB-stat validation row.}}{22}{table.17}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obj-val-rollout}{{17}{22}{Measured validation rollout for the deterministic RGB object-layout chart token, across three train seeds, K=8. The proxy gate passes by mean positive distance, but measured rollout does not improve over the RGB-stat validation row}{table.17}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {18}{\ignorespaces Measured residual \textsc  {CTT}{} rollout on 48 test positive-support charts across three train seeds, K=8. The generated proposal oracle exceeds 50\%, but the selected action fails because the current score/dominance rule chooses poor candidates.}}{23}{table.18}\protected@file@percent }
-\newlabel{tab:ctt-test-rollout}{{18}{23}{Measured residual \ctt {} rollout on 48 test positive-support charts across three train seeds, K=8. The generated proposal oracle exceeds 50\%, but the selected action fails because the current score/dominance rule chooses poor candidates}{table.18}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {19}{\ignorespaces Measured test rollout for the \texttt  {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. Support and score-only selection improve relative to the base-action chart token, but selected success remains below base.}}{24}{table.19}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-test-rollout}{{19}{24}{Measured test rollout for the \texttt {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. Support and score-only selection improve relative to the base-action chart token, but selected success remains below base}{table.19}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {20}{\ignorespaces Validation-calibrated dominance fallback evaluated on the measured test rollout. The threshold and conformal residual quantile are fit on validation rows only; test outcomes are used only for reporting. The fallback reduces coverage but does not yet repair selector transfer.}}{24}{table.20}\protected@file@percent }
-\newlabel{tab:ctt-dominance}{{20}{24}{Validation-calibrated dominance fallback evaluated on the measured test rollout. The threshold and conformal residual quantile are fit on validation rows only; test outcomes are used only for reporting. The fallback reduces coverage but does not yet repair selector transfer}{table.20}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {21}{\ignorespaces Learned dominance fallback trained on validation measured rows and evaluated on held-out test rows. Features are deployment-visible candidate features: utility-energy scores, score margins to base, rank, and tangent norms. This improves over the base test success but remains a partial selector diagnostic.}}{24}{table.21}\protected@file@percent }
-\newlabel{tab:ctt-learned-dominance}{{21}{24}{Learned dominance fallback trained on validation measured rows and evaluated on held-out test rows. Features are deployment-visible candidate features: utility-energy scores, score margins to base, rank, and tangent norms. This improves over the base test success but remains a partial selector diagnostic}{table.21}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {22}{\ignorespaces Best clipped-convention validation-calibrated dominance diagnostic: learned context dominance over the measured \texttt  {base\_context\_obs} visual-stat rollout rows. The calibrator is fit on validation measured rows only and evaluated on held-out test rows.}}{24}{table.22}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-learned-dominance}{{22}{24}{Best clipped-convention validation-calibrated dominance diagnostic: learned context dominance over the measured \texttt {base\_context\_obs} visual-stat rollout rows. The calibrator is fit on validation measured rows only and evaluated on held-out test rows}{table.22}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {23}{\ignorespaces Bounded-tanh selector diagnostic over already measured candidates. The learned context+tangent selector is fit on validation tanh rows and evaluated once on held-out test tanh rows. It is action-bound-clean, but not a train-clean deployment selector.}}{25}{table.23}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-tanh-learned-dominance}{{23}{25}{Bounded-tanh selector diagnostic over already measured candidates. The learned context+tangent selector is fit on validation tanh rows and evaluated once on held-out test tanh rows. It is action-bound-clean, but not a train-clean deployment selector}{table.23}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {24}{\ignorespaces Train-calibrated bounded-tanh selector diagnostic. Calibration uses train-split tanh measured rollout rows with same-chart and same-state source retrieval excluded, then evaluates once on held-out test tanh rows.}}{25}{table.24}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-tanh-learned-train-dominance}{{24}{25}{Train-calibrated bounded-tanh selector diagnostic. Calibration uses train-split tanh measured rollout rows with same-chart and same-state source retrieval excluded, then evaluates once on held-out test tanh rows}{table.24}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {25}{\ignorespaces Train-calibrated learned dominance evaluated on the same held-out test rollout rows. Calibration uses only train-split measured generated rollouts with same-chart and same-state source retrieval excluded. This is a cleaner selector diagnostic than validation calibration, but it does not beat the validation-calibrated best row and still fails the deployment gate.}}{25}{table.25}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-learned-train-dominance}{{25}{25}{Train-calibrated learned dominance evaluated on the same held-out test rollout rows. Calibration uses only train-split measured generated rollouts with same-chart and same-state source retrieval excluded. This is a cleaner selector diagnostic than validation calibration, but it does not beat the validation-calibrated best row and still fails the deployment gate}{table.25}{}}
-\@writefile{lot}{\contentsline {table}{\numberline {26}{\ignorespaces Nonlinear train-calibrated selector diagnostic. The model and threshold are selected only on held-out train-calibration rows, then evaluated once on the held-out test rollout rows. The best nonlinear row does not beat Table\nobreakspace  {}\ref  {tab:ctt-base-context-obs-learned-train-dominance}, so the current bottleneck is not just linear separability in the dominance selector.}}{25}{table.26}\protected@file@percent }
-\newlabel{tab:ctt-base-context-obs-nonlinear-train-dominance}{{26}{25}{Nonlinear train-calibrated selector diagnostic. The model and threshold are selected only on held-out train-calibration rows, then evaluated once on the held-out test rollout rows. The best nonlinear row does not beat Table~\ref {tab:ctt-base-context-obs-learned-train-dominance}, so the current bottleneck is not just linear separability in the dominance selector}{table.26}{}}
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+\@writefile{lot}{\contentsline {table}{\numberline {13}{\ignorespaces Per-dimension train-max scaled validation refresh for \texttt  {base\_context\_obs}, K=8, with clipping disabled. The scale vector is fit only from the train split action-bound audit.}}{18}{table.13}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-val-perdim-rollout}{{13}{18}{Per-dimension train-max scaled validation refresh for \texttt {base\_context\_obs}, K=8, with clipping disabled. The scale vector is fit only from the train split action-bound audit}{table.13}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {14}{\ignorespaces Per-dimension train-max scaled held-out test refresh for \texttt  {base\_context\_obs}, K=8, with clipping disabled. This diagnostic tests whether per-dimension max-fit scaling preserves more support than the global scale.}}{19}{table.14}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-test-perdim-rollout}{{14}{19}{Per-dimension train-max scaled held-out test refresh for \texttt {base\_context\_obs}, K=8, with clipping disabled. This diagnostic tests whether per-dimension max-fit scaling preserves more support than the global scale}{table.14}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {15}{\ignorespaces Bounded \texttt  {tanh} validation refresh for \texttt  {base\_context\_obs}, K=8, with clipping disabled. This action convention maps decoded controls into finite action bounds before validity checks.}}{20}{table.15}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-val-tanh-rollout}{{15}{20}{Bounded \texttt {tanh} validation refresh for \texttt {base\_context\_obs}, K=8, with clipping disabled. This action convention maps decoded controls into finite action bounds before validity checks}{table.15}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {16}{\ignorespaces Bounded \texttt  {tanh} held-out test refresh for \texttt  {base\_context\_obs}, K=8, with clipping disabled. The convention is action-bound-clean but selected success remains below the tanh base action.}}{21}{table.16}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-test-tanh-rollout}{{16}{21}{Bounded \texttt {tanh} held-out test refresh for \texttt {base\_context\_obs}, K=8, with clipping disabled. The convention is action-bound-clean but selected success remains below the tanh base action}{table.16}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {17}{\ignorespaces Measured residual \textsc  {CTT}{} rollout on 69 validation positive-support charts across three train seeds, K=8. Generated candidates are decoded and executed from restored simulator states; these are measured outcome metrics, not \ensuremath  {\mathrm  {PPTC}}{} proxies.}}{22}{table.17}\protected@file@percent }
+\newlabel{tab:ctt-val-rollout}{{17}{22}{Measured residual \ctt {} rollout on 69 validation positive-support charts across three train seeds, K=8. Generated candidates are decoded and executed from restored simulator states; these are measured outcome metrics, not \pptc {} proxies}{table.17}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {18}{\ignorespaces Measured validation rollout for the proxy-positive \texttt  {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. The RGB-stat chart token improves support-side validation metrics, but the selected action still fails to beat the base action.}}{23}{table.18}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-val-rollout}{{18}{23}{Measured validation rollout for the proxy-positive \texttt {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. The RGB-stat chart token improves support-side validation metrics, but the selected action still fails to beat the base action}{table.18}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {19}{\ignorespaces Measured validation rollout for the deterministic RGB object-layout chart token, across three train seeds, K=8. The proxy gate passes by mean positive distance, but measured rollout does not improve over the RGB-stat validation row.}}{24}{table.19}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obj-val-rollout}{{19}{24}{Measured validation rollout for the deterministic RGB object-layout chart token, across three train seeds, K=8. The proxy gate passes by mean positive distance, but measured rollout does not improve over the RGB-stat validation row}{table.19}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {20}{\ignorespaces Measured residual \textsc  {CTT}{} rollout on 48 test positive-support charts across three train seeds, K=8. The generated proposal oracle exceeds 50\%, but the selected action fails because the current score/dominance rule chooses poor candidates.}}{25}{table.20}\protected@file@percent }
+\newlabel{tab:ctt-test-rollout}{{20}{25}{Measured residual \ctt {} rollout on 48 test positive-support charts across three train seeds, K=8. The generated proposal oracle exceeds 50\%, but the selected action fails because the current score/dominance rule chooses poor candidates}{table.20}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {21}{\ignorespaces Measured test rollout for the \texttt  {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. Support and score-only selection improve relative to the base-action chart token, but selected success remains below base.}}{26}{table.21}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-test-rollout}{{21}{26}{Measured test rollout for the \texttt {base\_context\_obs} visual-stat chart token, across three train seeds, K=8. Support and score-only selection improve relative to the base-action chart token, but selected success remains below base}{table.21}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {22}{\ignorespaces Validation-calibrated dominance fallback evaluated on the measured test rollout. The threshold and conformal residual quantile are fit on validation rows only; test outcomes are used only for reporting. The fallback reduces coverage but does not yet repair selector transfer.}}{26}{table.22}\protected@file@percent }
+\newlabel{tab:ctt-dominance}{{22}{26}{Validation-calibrated dominance fallback evaluated on the measured test rollout. The threshold and conformal residual quantile are fit on validation rows only; test outcomes are used only for reporting. The fallback reduces coverage but does not yet repair selector transfer}{table.22}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {23}{\ignorespaces Learned dominance fallback trained on validation measured rows and evaluated on held-out test rows. Features are deployment-visible candidate features: utility-energy scores, score margins to base, rank, and tangent norms. This improves over the base test success but remains a partial selector diagnostic.}}{26}{table.23}\protected@file@percent }
+\newlabel{tab:ctt-learned-dominance}{{23}{26}{Learned dominance fallback trained on validation measured rows and evaluated on held-out test rows. Features are deployment-visible candidate features: utility-energy scores, score margins to base, rank, and tangent norms. This improves over the base test success but remains a partial selector diagnostic}{table.23}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {24}{\ignorespaces Best clipped-convention validation-calibrated dominance diagnostic: learned context dominance over the measured \texttt  {base\_context\_obs} visual-stat rollout rows. The calibrator is fit on validation measured rows only and evaluated on held-out test rows.}}{26}{table.24}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-learned-dominance}{{24}{26}{Best clipped-convention validation-calibrated dominance diagnostic: learned context dominance over the measured \texttt {base\_context\_obs} visual-stat rollout rows. The calibrator is fit on validation measured rows only and evaluated on held-out test rows}{table.24}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {25}{\ignorespaces Bounded-tanh selector diagnostic over already measured candidates. The learned context+tangent selector is fit on validation tanh rows and evaluated once on held-out test tanh rows. It is action-bound-clean, but not a train-clean deployment selector.}}{27}{table.25}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-tanh-learned-dominance}{{25}{27}{Bounded-tanh selector diagnostic over already measured candidates. The learned context+tangent selector is fit on validation tanh rows and evaluated once on held-out test tanh rows. It is action-bound-clean, but not a train-clean deployment selector}{table.25}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {26}{\ignorespaces Train-calibrated bounded-tanh selector diagnostic. Calibration uses train-split tanh measured rollout rows with same-chart and same-state source retrieval excluded, then evaluates once on held-out test tanh rows.}}{27}{table.26}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-tanh-learned-train-dominance}{{26}{27}{Train-calibrated bounded-tanh selector diagnostic. Calibration uses train-split tanh measured rollout rows with same-chart and same-state source retrieval excluded, then evaluates once on held-out test tanh rows}{table.26}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {27}{\ignorespaces Train-calibrated learned dominance evaluated on the same held-out test rollout rows. Calibration uses only train-split measured generated rollouts with same-chart and same-state source retrieval excluded. This is a cleaner selector diagnostic than validation calibration, but it does not beat the validation-calibrated best row and still fails the deployment gate.}}{27}{table.27}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-learned-train-dominance}{{27}{27}{Train-calibrated learned dominance evaluated on the same held-out test rollout rows. Calibration uses only train-split measured generated rollouts with same-chart and same-state source retrieval excluded. This is a cleaner selector diagnostic than validation calibration, but it does not beat the validation-calibrated best row and still fails the deployment gate}{table.27}{}}
+\@writefile{lot}{\contentsline {table}{\numberline {28}{\ignorespaces Nonlinear train-calibrated selector diagnostic. The model and threshold are selected only on held-out train-calibration rows, then evaluated once on the held-out test rollout rows. The best nonlinear row does not beat Table\nobreakspace  {}\ref  {tab:ctt-base-context-obs-learned-train-dominance}, so the current bottleneck is not just linear separability in the dominance selector.}}{27}{table.28}\protected@file@percent }
+\newlabel{tab:ctt-base-context-obs-nonlinear-train-dominance}{{28}{27}{Nonlinear train-calibrated selector diagnostic. The model and threshold are selected only on held-out train-calibration rows, then evaluated once on the held-out test rollout rows. The best nonlinear row does not beat Table~\ref {tab:ctt-base-context-obs-learned-train-dominance}, so the current bottleneck is not just linear separability in the dominance selector}{table.28}{}}
+\gdef \@abspage@last{27}

workspace/latex/main.fdb_latexmk

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workspace/latex/main.fls

@@ -768,6 +768,28 @@ INPUT ../runs/ctt_base_context_obs_test_scaled0215_rollout_comparison/table.tex
 INPUT ../runs/ctt_base_context_obs_test_scaled0215_rollout_comparison/table.tex
 INPUT ../runs/ctt_base_context_obs_test_scaled0215_rollout_comparison/table.tex
 INPUT ../runs/ctt_base_context_obs_test_scaled0215_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_val_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
+INPUT ../runs/ctt_base_context_obs_test_perdim_trainmax_rollout_comparison/table.tex
 INPUT ../runs/ctt_base_context_obs_val_tanh_rollout_comparison/table.tex
 INPUT ../runs/ctt_base_context_obs_val_tanh_rollout_comparison/table.tex
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workspace/latex/main.log

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-(../runs/ctt_base_context_obs_val_tanh_rollout_comparison/table.tex)
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