Update README links and citation

README.md

@@ -15,6 +15,11 @@ tags:
 
 # MOSS-Video-Preview-Base
 
+<p align="center">
+  📄 <a href="https://arxiv.org/abs/2606.07639">Tech Report</a> &nbsp;|&nbsp;
+  💻 <a href="https://github.com/OpenMOSS/MOSS-Video-Preview">GitHub</a> &nbsp;
+</p>
+
 ## Introduction
 
 We introduce **MOSS-Video-Preview-Base**, the pretrained foundation checkpoint in the MOSS-Video-Preview series.
@@ -45,7 +50,7 @@ This repo contains the **pretrained weights** that are intended to serve as the
 - **Cross-Modal Projector**: Powered by the proprietary `VideoMllamaTextCrossAttention` mechanism, it achieves high-efficiency semantic alignment between temporal visual features and linguistic context.
 - **Unified Spatio-Temporal Encoding**: Aligns video frame sequences with text tokens, providing a robust backbone for long-context multimodal reasoning.
 
-For architecture diagrams and full system details, see the top-level repository: [fnlp-vision/MOSS-Video-Preview](https://github.com/fnlp-vision/MOSS-Video-Preview).
+For architecture diagrams and full system details, see the top-level repository: [OpenMOSS/MOSS-Video-Preview](https://github.com/OpenMOSS/MOSS-Video-Preview).
 
 ## 🚀 Quickstart
 
@@ -55,7 +60,7 @@ For architecture diagrams and full system details, see the top-level repository:
 ```python
 import torch
 from transformers import AutoModelForCausalLM, AutoProcessor
-checkpoint = "fnlp-vision/moss-video-preview-base"
+checkpoint = "OpenMOSS-Team/moss-video-preview-base"
 video_path = "data/example_video.mp4"
 prompt = "" # For base model, prompt is set to empty to perform completion task.
 
@@ -111,7 +116,7 @@ print(processor.decode(output_ids[0], skip_special_tokens=True))
 import torch
 from PIL import Image
 from transformers import AutoModelForCausalLM, AutoProcessor
-checkpoint = "fnlp-vision/moss-video-preview-base"
+checkpoint = "OpenMOSS-Team/moss-video-preview-base"
 image_path = "data/example_image.jpg"
 prompt = "" # For base model, prompt is set to empty to perform completion task.
 
@@ -200,11 +205,14 @@ For full environment setup (including optional FlashAttention2 extras), see the
 
 ## Citation
 ```bibtex
-@misc{moss_video_2026,
-  title         = {{MOSS-Video-Preview: Next-Generation Real-Time Video Understanding}},
-  author        = {OpenMOSS Team},
+@article{wang2026mossvideo,
+  title         = {{MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention}},
+  author        = {Pengyu Wang, Chenkun Tan, Shaojun Zhou, Wei Huang, Qirui Zhou, Zhan Huang, Zhen Ye, Jijun Cheng, Xiaomeng Qian, Yanxin Chen, Xingyang He, Huazheng Zeng, Chenghao Wang, Pengfei Wang, Hongkai Wang, Shanqing Gao, Yixian Tian, Chenghao Liu, Xinghao Wang, Botian Jiang, Xipeng Qiu},
   year          = {2026},
-  howpublished  = {\url{https://github.com/fnlp-vision/MOSS-Video-Preview}},
-  note          = {GitHub repository}
+  journal       = {arXiv preprint arXiv:2606.07639},
+  eprint        = {2606.07639},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.CV},
+  url           = {https://arxiv.org/abs/2606.07639}
 }
 ```