Document saved configurations and publish their pinned manifest

README.md

@@ -37,6 +37,28 @@ Use separate fresh runtime directories for `room`, `atomic_coffee`,
 `failure_recovery`, and `cloth` profiles. Standard answers are evaluator data;
 they are not part of the agent observation interface.
 
+## Saved initial configurations
+
+The separate configuration release contains **1,470 saved initial configurations**:
+30 for each of 49 task or scenario groups. These are release configurations for
+reproducible evaluation, not the exact instances used for the paper's reported
+results. Each record retains its accepted seed and initial state.
+
+Install the shared assets once. Configurations store task parameters, poses,
+robot initialization and required cloth-state arrays; they do not duplicate
+the room geometry and textures for every episode.
+
+```sh
+python -m robotagentbench.simulation.saved_instance_release.download \
+  --manifest resources/saved-instances-0.1.0.json \
+  --cache downloads/configurations --destination /absolute/path/to/SavedConfigurations
+```
+
+See the [configuration guide](https://github.com/AetherLabsAI/RobotAgentBench/blob/main/docs/INSTANCES.md)
+for selection and restoration, and the repository's InternVLA and Codex examples
+for connecting an agent. The fine-tuned InternVLA model is available at
+[AetherLabs-AI/InternVLA-A1.5-RAB](https://huggingface.co/AetherLabs-AI/InternVLA-A1.5-RAB).
+
 ## Licenses
 
 Team-authored materials use CC BY 4.0. Third-party resources retain their own

assets-0.1.0.json

@@ -3,8 +3,8 @@
   "version": "0.1.0",
   "hosting": {
     "provider": "huggingface",
-    "repository": "DylanHel/RobotAgentBench-assets",
-    "revision": "0d4d68d45464c8fb3a6d0df6537e50dc423698e6"
+    "repository": "AetherLabs-AI/RobotAgentBench-assets",
+    "revision": "b7a4066638df5713bcf36311aace932aa92f54bc"
   },
   "archives": {
     "assets-0.1.0-000.tar.gz": {