Add library_name and citation, fix quick start links

Hi! I'm Niels from the Hugging Face community science team.

I'm opening this pull request to improve the model card for **FullStack-Learn-LM-30B-A3B**:
- Added `library_name: transformers` to the metadata. This is based on the `config.json` which shows compatibility with the Transformers library.
- Corrected a duplicate link in the "Quick Start" section to properly point to the `FullStack-Bench` repository.
- Added a "Citation" section at the bottom using the BibTeX provided in your GitHub repository.

These changes will help users discover, use, and cite your work more effectively. Let me know if you have any questions!

README.md

@@ -1,25 +1,28 @@
 ---
-license: apache-2.0
+base_model:
+- Qwen/Qwen3-Coder-30B-A3B-Instruct
 language:
 - en
+license: apache-2.0
 metrics:
 - accuracy
-base_model:
-- Qwen/Qwen3-Coder-30B-A3B-Instruct
 pipeline_tag: text-generation
+library_name: transformers
 tags:
 - code
 - agent
 ---
 
-
 # FullStack-Agent
 
 ### Overview
 
 This model is introduced in the paper ["FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation"](https://arxiv.org/abs/2602.03798).
+
 In this paper, we introduce **FullStack-Agent**, a unified system that combines a multi-agent full-stack development framework equipped with efficient coding and debugging tools ([FullStack-Dev](https://github.com/mnluzimu/FullStack-Dev)), an iterative self-improvement method that improves the abilities of LLMs through repository augmentation and back-translation ([FullStack-Learn](https://github.com/mnluzimu/FullStack-Learn)), and a full-stack development benchmark that comprehensively evaluates frontend, backend, and database functionalities ([FullStack-Bench](https://github.com/mnluzimu/FullStack-Bench)).
 
+Official Repository: [mnluzimu/FullStack-Agent](https://github.com/mnluzimu/FullStack-Agent)
+
 ![method](assets/method.png)
 
 ### Quick Start
@@ -30,7 +33,7 @@ Instructions for installation and running of the three components are in the fol
 
 - [FullStack-Learn](https://github.com/mnluzimu/FullStack-Learn)
 
-- [FullStack-Learn](https://github.com/mnluzimu/FullStack-Learn)
+- [FullStack-Bench](https://github.com/mnluzimu/FullStack-Bench)
 
 ### Models
 
@@ -60,4 +63,20 @@ Using more templates result in better performance in most of the metrics, which
 
 Experimental results of FullStack-Learn tested on with FullStack-Dev on FullStack-Bench are as follows:
 
-![experiments](assets/experiments.png)
+![experiments](assets/experiments.png)
+
+### Citation
+
+If you find our project helpful, please cite:
+
+```bibtex
+@misc{lu2026fullstackagentenhancingagenticfullstack,
+      title={FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation}, 
+      author={Zimu Lu and Houxing Ren and Yunqiao Yang and Ke Wang and Zhuofan Zong and Mingjie Zhan and Hongsheng Li},
+      year={2026},
+      eprint={2602.03798},
+      archivePrefix={arXiv},
+      primaryClass={cs.SE},
+      url={https://arxiv.org/abs/2602.03798}, 
+}
+```