Add paper, project, and code links

This PR adds direct links to the paper, project page, and GitHub repository in the model card content. No other changes are made.

README.md

@@ -1,9 +1,14 @@
 ---
-license: other
+datasets:
+- XDOF/ABC-130k
 library_name: pytorch
+license: other
 pipeline_tag: robotics
-datasets: [XDOF/ABC-130k]
-tags: [long-wam, yam, abc-130k, robotics]
+tags:
+- long-wam
+- yam
+- abc-130k
+- robotics
 ---
 
 # Long-WAM YAM
@@ -12,6 +17,10 @@ A YAM bimanual robot pretraining model trained on **ABC 130K**, with a
 LongLive 2.0 Robot-S video backbone. It predicts actions after imagining future
 video latents.
 
+**Paper:** [Long-WAM: Scaling the Context of World-Action Models](https://huggingface.co/papers/2610.10528)  
+**Project page:** [https://nvlabs.github.io/LongLive/Long-WAM/](https://nvlabs.github.io/LongLive/Long-WAM/)  
+**Code:** [https://github.com/NVlabs/LongLive](https://github.com/NVlabs/LongLive)
+
 ## Download
 
 ```bash
@@ -45,4 +54,4 @@ and denormalize predicted actions; RGB inputs use `[-1, 1]`.
 
 The matching runtime and base-model VAE/text assets are required separately.
 This is a pretraining checkpoint: task-specific adaptation and controlled
-closed-loop validation are required before real-robot use.
+closed-loop validation are required before real-robot use.