Colorizer round6: region pilot step 2000

experiments/region-coherence-20260928/SHA256SUMS.json

@@ -4,7 +4,7 @@
   "control/development_01000.json": "b716cfa3a133c8574de4594cd97d6719b3e6afbed96a0f6631d20d95e0dd849e",
   "control/development_01500.json": "e19271ac3834d262c43dd782d030853212d4d84d127dc0f9f05a3a64e04f7e24",
   "control/development_02000.json": "ec9ea0a76f5082860118b89a1c46486bd49e4481472e75f56f78bd311c3d6d4c",
-  "control/latest_optimizer.pt": "b42d1fdd206306dbd65bfa13652c41aa273f7b46d874ae6edbbd96e71f81eb79",
+  "control/latest_optimizer.pt": "b005d50bcee1bd08c6e1cb95c84d351c9245344bf3fab0de759bc090c8483d4f",
   "control/step_00500/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
   "control/step_00500/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "control/step_00500/model.safetensors": "e882005a4305473f674073d73df64c4d043946a7e7bab8957c549c56bddda52d",
@@ -44,7 +44,7 @@
   "region/development_01000.json": "7bdd4922e390cdc12a400262693e6c925f69ce93f0c68135bfad6e91c011a021",
   "region/development_01500.json": "424b280bfd68f43282c284e4554a6b1d216582efea04f346a5a7bff095f760ab",
   "region/development_02000.json": "9fedd78e9e849300b4986806a87eb2ed9296f335578fe231e3211600ab419e2c",
-  "region/latest_optimizer.pt": "ad6ddfd9df0b90cd8be29a2a02f878b3c596fb9d58887cb93c02c147a64bcba2",
+  "region/latest_optimizer.pt": "aa1d4287e9e7cbbaaa9973b168f8b5086318f2b7b8d3e21a071acfdd7f6b57d0",
   "region/step_00500/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
   "region/step_00500/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "region/step_00500/model.safetensors": "21ac8d612ddfe4e535ef6e6c05c90acb67178ba4ab39023a97111ad72564937f",
@@ -76,7 +76,7 @@
   "source/previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
   "source/semantic_model.py": "b019358cbcaa214743cbd244d20eb6e59eeff0ab5264093ec0927be8529b25a2",
   "source/spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a",
-  "status.json": "cb9e6f161c5a4d866b5989b7a17cc5aea9495263a12f4a5fd2a8d9512af76288",
+  "status.json": "e6534876c4e1c1747a1e1adc34cd550b9563962ff91f6b1c7dab34ee07b1e9d7",
   "target_selection.json": "d73aca63879f0869efa9fad2316ef314648d16a315179704a1aec3a33772f221",
   "train.py": "8d7ceb77a742afd65c9ab7ddf58e56b86ff235900371ce57b4b01c65a759a4cb",
   "training_targets_and_regions.jpg": "314c3fec28c920e7d80b05dde80b599542ab30bac93d454fde43709793c99413"

experiments/region-coherence-20260928/control/latest_optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b42d1fdd206306dbd65bfa13652c41aa273f7b46d874ae6edbbd96e71f81eb79
+oid sha256:b005d50bcee1bd08c6e1cb95c84d351c9245344bf3fab0de759bc090c8483d4f
 size 32170719

experiments/region-coherence-20260928/region/latest_optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ad6ddfd9df0b90cd8be29a2a02f878b3c596fb9d58887cb93c02c147a64bcba2
+oid sha256:aa1d4287e9e7cbbaaa9973b168f8b5086318f2b7b8d3e21a071acfdd7f6b57d0
 size 32170719

experiments/region-coherence-20260928/status.json

@@ -1,6 +1,6 @@
 {
   "status": "training",
   "step": 2000,
-  "elapsed_seconds": 559.7094121270056,
+  "elapsed_seconds": 573.9393295909977,
   "production_approved": false
 }