Add pipeline tag and links to paper, project, and code

README.md

@@ -1,11 +1,12 @@
 ---
-license: apache-2.0
 base_model: Qwen/Qwen3.5-2B
+license: apache-2.0
+pipeline_tag: robotics
 tags:
-  - robotics
-  - vision-language-action
-  - humanoid
-  - lambda0
+- robotics
+- vision-language-action
+- humanoid
+- lambda0
 ---
 
 # λ₀ Midtrain (100k)
@@ -14,6 +15,12 @@ This is the **Stage II mid-training checkpoint** for λ₀. It provides the star
 
 The model builds on [Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B) and learns from robot-aligned human demonstrations.
 
+## Links
+
+- **Paper:** [λ₀: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation](https://huggingface.co/papers/2610.18950)
+- **Project page:** [Lambda Humanoid](https://lambdahumanoid.github.io/)
+- **Code:** [OpenLambda repository](https://github.com/LambdaHumanoid/openlambda)
+
 ## Post-training
 
 The Stage III post-training recipe is being prepared in the [OpenLambda source repository](https://github.com/LambdaHumanoid/openlambda). Follow that recipe when it is released to adapt this checkpoint to your robot tasks.
@@ -24,4 +31,4 @@ The pretraining and mid-training datasets are not included. This checkpoint is n
 
 The files include the model weights and the configuration needed to load them. The weight tensor file is unchanged from the Stage II checkpoint at step 100,000.
 
-The λ₀ code and these weights are released under Apache 2.0. The [Qwen3.5-2B base model](https://huggingface.co/Qwen/Qwen3.5-2B) is also available under Apache 2.0.
+The λ₀ code and these weights are released under Apache 2.0. The [Qwen3.5-2B base model](https://huggingface.co/Qwen/Qwen3.5-2B) is also available under Apache 2.0.