Keep three method frames and append each matching tile grid

.gitattributes

@@ -73,3 +73,4 @@ examples/preserve/masks/p3.png filter=lfs diff=lfs merge=lfs -text
 examples/control/comparison-with-mask.png filter=lfs diff=lfs merge=lfs -text
 examples/preserve/comparison-with-mask.png filter=lfs diff=lfs merge=lfs -text
 examples/entropy-selector/comparison-four-column.png filter=lfs diff=lfs merge=lfs -text
+examples/entropy-selector/comparison-three-frames-plus-grid.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -99,9 +99,9 @@ Entropy was among the stronger sparse candidates in the initial layout screen: a
 
 **ENTROPY is the best current candidate and the preferred algorithm for this project.** The available selector run is a four-prompt validation screen, not an untouched confirmation. The initial teacher-gap screen slightly favored detail50 (0.416 vs. 0.429 for entropy50), so this preference should not be read as a statistically confirmed benchmark win.
 
-The four-column overview places the reference, ENTROPY output, its actual t=0 tile mask, and shuffled-ENTROPY output side by side. Each prompt sheet below shows all seven latent-time layouts alongside uniform and shuffled controls.
+The comparison preserves the original three sampled video frames under every method and appends that method’s matching t=0 tile grid as a fourth column. The gold outline marks the two ENTROPY rows. Each prompt sheet below shows all seven latent-time layouts alongside uniform and shuffled controls.
 
-![Four-column ENTROPY comparison with the tile mask](examples/entropy-selector/comparison-four-column.png)
+![Three video frames per method followed by its matching tile grid](examples/entropy-selector/comparison-three-frames-plus-grid.png)
 
 ### Prompt p0