Update README.md

README.md

@@ -84,4 +84,17 @@ We present <b>SAMM</b>, a large-scale dataset for Detecting and Grounding Semant
 - `cap_texts`: Textual information extracted from CAP (Contextual Auxiliary Prompt) annotations.  
 - `cap_images`: Relative paths to visual information from CAP annotations.  
 - `idx_cap_texts`: A binary array where the i-th element indicates whether the i-th celebrity in `cap_texts` is tampered (1 = tampered, 0 = not tampered).  
-- `idx_cap_images`: A binary array where the i-th element indicates whether the i-th celebrity in `cap_images` is tampered (1 = tampered, 0 = not tampered).
+- `idx_cap_images`: A binary array where the i-th element indicates whether the i-th celebrity in `cap_images` is tampered (1 = tampered, 0 = not tampered).
+
+# 🤗🤗🤗 Citation
+```
+@misc{shen2025artificialmisalignmentdetectinggrounding,
+      title={Beyond Artificial Misalignment: Detecting and Grounding Semantic-Coordinated Multimodal Manipulations}, 
+      author={Jinjie Shen and Yaxiong Wang and Lechao Cheng and Nan Pu and Zhun Zhong},
+      year={2025},
+      eprint={2509.12653},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2509.12653}, 
+}
+```