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Diffstat (limited to 'visual-composer/coupled-ladder-scaling.md')
| -rw-r--r-- | visual-composer/coupled-ladder-scaling.md | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/visual-composer/coupled-ladder-scaling.md b/visual-composer/coupled-ladder-scaling.md index c339551..896c02b 100644 --- a/visual-composer/coupled-ladder-scaling.md +++ b/visual-composer/coupled-ladder-scaling.md @@ -17,12 +17,13 @@ - **Figure prototype:** coordinated small-multiple lines. - **Panel map:** - (a) final classification error against learnable edge count; - - (b) fraction of runs that reach zero error and remain there through the - training horizon; - - (c) mean classification error over epochs at 2,048 edges. + - (b) classification-error area over the full training trajectory against + learnable edge count; + - (c) fraction of runs that fail to reach zero error and remain there through + the training horizon against learnable edge count. - **Exact label inventory:** Clean, same-RMS noise, raw imperfection, static - calibration, SDIL, learnable edges, classification error, stable zero-error - runs, training epoch. + calibration, SDIL, learnable edges, classification error, classification- + error AUC, stable failure fraction. - **Caption role:** state the paired protocol, distinguish fixed bias from matched noise, and label the evidence as a five-task pilot. - **Manuscript placement:** Part 2, immediately after the digital CLLN and @@ -34,4 +35,3 @@ - **Constraint:** the figure reports an error-growth slope comparison only when the static-calibration slope is positive. Raw imperfection is allowed to show a high non-monotonic floor rather than a forced power law. - |