diff --git a/README.md b/README.md
index a9dd5a33147e8e84cad45a459f381b512d28675c..2efa9cb81d7b9f58ce5377af88adcd06b5d7e123 100644
--- a/README.md
+++ b/README.md
@@ -15,8 +15,8 @@ Weaving Knowledge to Master Fine-grained Neural Network Design".
 
 Each `.db` file has a `model_records` table. The first six columns encode
 fine-grained neural design choices and the final two columns store the measured
-score and standard deviation. The `.pt` files archive the released PyTorch
-artifacts for the corresponding task and dataset.
+score and standard deviation. Each task/dataset directory includes the released
+PyTorch artifacts: `ecc_predictor.pt` and `model_graph.pt`.
 
 Task layout:
 
diff --git a/manifest.json b/manifest.json
index ff23496645b570a6ee531dfe9a7206518a82968e..b818a1447d9048e3306102980fed87eabd5312c9 100644
--- a/manifest.json
+++ b/manifest.json
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-    "dataset": "actor",
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-    "sha256": "cb13f58f5653bf67b22383b3dd809c68aef399eb7465d89e78e608cd750188ac"
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     "task": "node",
@@ -551,38 +543,6 @@
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-    "dataset": "actor",
-    "artifact_type": "torch_artifact",
-    "bytes": 63570,
-    "sha256": "eb320256b63be67ff99caddf99a706dd5e4fcadb2832ba8bf32845ab6acf7f82"
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-    "dataset": "actor",
-    "artifact_type": "torch_artifact",
-    "bytes": 63586,
-    "sha256": "ca2317d479683e73501a57a69df0a9ad5c5687890ec47e90e39949f94be055c8"
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-    "task": "node",
-    "dataset": "actor",
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-    "bytes": 67208,
-    "sha256": "15be9b82e5403675578f628ab54ed16e7536703d1617f060625af80f80251ddc"
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-    "bytes": 99800,
-    "sha256": "cfbfa248db111f349475e480a95da19efab4bff019172f07bcc131b73bb5a3c4"
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     "task": "node",
@@ -591,22 +551,6 @@
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-    "sha256": "791cdadbcd03895275f10b53200dfc15a0a8886ed15178a1dc5a9383af6bbbca"
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@@ -615,14 +559,6 @@
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@@ -631,38 +567,6 @@
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diff --git a/metadata.csv b/metadata.csv
index b713cf3f99b86975b29c2b7de69f6d03b143b589..f475f72a9cc2521aac6e1068f61582023cc6f20f 100644
--- a/metadata.csv
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