Add pipeline tag, library name, and paper/project/code links

This PR improves the model card by:

- Adding `pipeline_tag: video-text-to-text` so the model appears in the correct pipeline filter.
- Adding `library_name: transformers` since this is a Transformers-compatible Qwen3-VL model.
- Adding links to the paper, project page, and GitHub repository in the README content.

README.md

@@ -1,12 +1,14 @@
 ---
-license: apache-2.0
 base_model: Qwen/Qwen3-VL-8B-Instruct
+license: apache-2.0
 tags:
 - camera-movement
 - video-understanding
 - qwen3-vl
 - sft
 - vggt-injection
+library_name: transformers
+pipeline_tag: video-text-to-text
 ---
 
 # CamInject-8B
@@ -16,10 +18,15 @@ Camera-movement VGGT-Direct 注入 SFT 微调模型，基于 `Qwen/Qwen3-VL-8B-I
 - Checkpoint: `checkpoint-1326`
 - 训练框架: [ms-swift](https://github.com/modelscope/ms-swift)
 
+This model is described in the paper [Temporally Grounded Compositional Camera Motion Understanding via Geometric Knowledge Distillation](https://huggingface.co/papers/2608.10932).
+
+Project page: https://ddz16.github.io/cammotion.github.io  
+Code: https://github.com/ddz16/CamDistill
+
 ## 使用
 
 ```python
 from transformers import AutoModelForCausalLM, AutoProcessor
 model = AutoModelForCausalLM.from_pretrained("ddz16/CamInject-8B", torch_dtype="bfloat16", device_map="auto")
 processor = AutoProcessor.from_pretrained("ddz16/CamInject-8B")
-```
+```