Card: link arXiv:2608.14022, complete citation, fix repo id

README.md

@@ -13,7 +13,7 @@ size_categories:
 
 # ForgeWM Training Data
 
-Pre-encoded latents for training [ForgeWM](https://github.com/asdfo123/ForgeWM).
+Pre-encoded latents for training [ForgeWM](https://github.com/asdfo123/ForgeWM) ([arXiv:2608.14022](https://arxiv.org/abs/2608.14022)).
 
 This is a **re-packaging** of the [GameFactory](https://github.com/KlingAIResearch/GameFactory) 
 GF-Minecraft dataset, encoded into Wan2.1 VAE latents and sharded as LMDB for 
@@ -23,7 +23,7 @@ from GameFactory — we just made them training-ready.
 ## Quick Start
 
 ```bash
-huggingface-cli download asdfo123/ForgeWM-data \
+huggingface-cli download ForgeWM/ForgeWM-data \
   --local-dir ./data/action_lmdb --repo-type dataset
 ```
 
@@ -47,13 +47,16 @@ flipped to MG2's (`mouse[0] > 0 = look-up`) at encoding time.
 
 ```bibtex
 @misc{li2026forgewm,
-  title  = {ForgeWM: Progressive Causal Training for Few-Step
-            Action-Conditioned Video World Models},
-  author = {Xinye Li and Lingshuai Lin and Lei Wang and Liuzhou Zhang and
-            Jialin Cui and Qingshan Li and Guanchu Wang and Qingbin Liu and
-            Xi Chen and Jiang Bian and Wai Lam},
-  year   = {2026},
-  url    = {https://github.com/asdfo123/ForgeWM}
+  title         = {ForgeWM: Progressive Causal Training for Few-Step
+                   Action-Conditioned Video World Models},
+  author        = {Xinye Li and Lingshuai Lin and Lei Wang and Liuzhou Zhang and
+                   Jialin Cui and Qingshan Li and Guanchu Wang and Qingbin Liu and
+                   Xi Chen and Jiang Bian and Wai Lam},
+  year          = {2026},
+  eprint        = {2608.14022},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  url           = {https://arxiv.org/abs/2608.14022}
 }
 ```