Colorizer round6: development review 1000

.gitattributes

@@ -164,3 +164,7 @@ experiments/medium-critic-20260928/comparison_00000_0.jpg filter=lfs diff=lfs me
 experiments/medium-critic-20260928/comparison_00000_1.jpg filter=lfs diff=lfs merge=lfs -text
 experiments/medium-critic-20260928/comparison_00000_2.jpg filter=lfs diff=lfs merge=lfs -text
 experiments/medium-critic-20260928/probes_00000.jpg filter=lfs diff=lfs merge=lfs -text
+experiments/medium-critic-20260928/comparison_01000_0.jpg filter=lfs diff=lfs merge=lfs -text
+experiments/medium-critic-20260928/comparison_01000_1.jpg filter=lfs diff=lfs merge=lfs -text
+experiments/medium-critic-20260928/comparison_01000_2.jpg filter=lfs diff=lfs merge=lfs -text
+experiments/medium-critic-20260928/probes_01000.jpg filter=lfs diff=lfs merge=lfs -text

experiments/medium-critic-20260928/SHA256SUMS.json

@@ -4,8 +4,13 @@
   "comparison_00000_1.jpg": "2b20522daf15d5f43f07ded0a3a18a04f94ff1316af21594a32945a3c9ddb250",
   "comparison_00000_2.jpg": "40b80e02e121a8e65146b3779d0860890b2c9b1cfb6c8ccdbcd3fb1eaa6cc96e",
   "comparison_00000_key.json": "3e87a3cdb61e246fdd15be7c60499a39db3bf749467c153f25bb5d7553e14c32",
+  "comparison_01000_0.jpg": "924de7b386c443dbbf4a58edd84219d6870c9f885ec89856039e93b62b3a1c26",
+  "comparison_01000_1.jpg": "ecccf84dffc495309298b16bdac32bbcaa269b117306a8a563994321f0a8eac1",
+  "comparison_01000_2.jpg": "8199b2d5980f51a5f23c966ef7654d3e18631ca1baa3a845f2c0907c53a48508",
+  "comparison_01000_key.json": "3e87a3cdb61e246fdd15be7c60499a39db3bf749467c153f25bb5d7553e14c32",
   "data_and_eval.py": "019ea992052f0233954b86e06e31c85c74ca313e67a55ff7fb03248f8874aaf5",
   "development_00000.json": "5168b66e42aa19c2d402121f123cda20086aaf8af21882690172347f8bce7654",
+  "development_01000.json": "e0f9f30ae714e1b200959858235e77a1d9541a7bf43a4e16c1774bfacd1e89be",
   "history.json": "556f982224c6b3107f8162ac68955fe7189e4e943cad76f2f50126d58876fde6",
   "initial/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
   "initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
@@ -13,6 +18,7 @@
   "latest_training_state.pt": "c2deaae22a2fa53606e328c593e79b522e0ef45f25ac45b47ed24315dc3bde4c",
   "manifest.json": "dfc3208f2e58b016ccb64bf359039e80ff9e1cad6f3a76bcb3b725733ba87769",
   "probes_00000.jpg": "9e50245bb6943b3b5c10fb3d6b5ef309fb415405ab354bfeb1a258f4ff0aaee3",
+  "probes_01000.jpg": "b0b1697f74a423a95d120a90815295dd7a43e972eeeb6ccf8542306700871c68",
   "protocol.json": "6e08c212bb5cf106047fee69cca20b64d119055f8e871fdf62b349b70fd594d1",
   "smoke.json": "390beb83fcbfe9b00bd1159092e05c066026172bf147bc382e20461cda45993e",
   "source/__pycache__/data.cpython-311.pyc": "526112ecc37d2691497f7ef76b527361af7b49f1771f4dfb9f3c7c9c751b237c",

experiments/medium-critic-20260928/comparison_01000_key.json

@@ -0,0 +1,6 @@
+{
+  "A": "prior27",
+  "B": "ema",
+  "C": "raw",
+  "D": "v3"
+}