Clarify dataset licensing and upstream citation

README.md

@@ -23,7 +23,7 @@ configs:
 
 IBCBench is the benchmark introduced in **Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching**, accepted to the **EMNLP 2026 Main Conference**.
 
-[**GitHub**](https://github.com/LaVieEnRose365/Image-Bundle-Composition)
+[**GitHub**](https://github.com/LaVieEnRose365/Image-Bundle-Composition) | **Paper link coming soon**
 
 ## Overview
 
@@ -127,7 +127,6 @@ Each non-empty line in `photo_ids/{user_id}.txt` has the following tab-separated
 
 IBCBench uses the same image pool, metadata, and photo-ID mapping as [DISBench](https://huggingface.co/datasets/RUC-NLPIR/DISBench), which is derived from the public [YFCC100M](https://multimediacommons.wordpress.com/yfcc100m-core-dataset/) collection. IBCBench contributes a separate set of 667 queries and ground-truth bundles for the Image Bundle Composition task.
 
-Please also cite DISBench and YFCC100M when using the shared image pool.
 
 ## Ethical Considerations
 
@@ -139,40 +138,3 @@ Although the source media is public, the benchmark includes spatiotemporal metad
 
 The IBCBench query annotations and BundleWeaver project are released under the [Apache License 2.0](https://github.com/LaVieEnRose365/Image-Bundle-Composition/blob/main/LICENSE). The images retain the individual Creative Commons licenses attached to the corresponding YFCC100M records; downstream users are responsible for checking and following those terms. The included DISBench-derived helper and shared files retain their upstream terms.
 
-## Citation
-
-```bibtex
-@inproceedings{shan2026weaving,
-  title     = {Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching},
-  author    = {Shan, Rong and Xu, Tianyi and Zheng, Congmin and Chen, Wenteng and Zhu, Jiachen and Wu, Junjie and Zeng, Dun and Wang, Teng and Liu, Weiwen and Zhang, Changwang and Zhang, Weinan and Wang, Jun and Lin, Jianghao},
-  booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
-  year      = {2026}
-}
-```
-
-DISBench:
-
-```bibtex
-@misc{deng2026deepimagesearch,
-  title         = {DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories},
-  author        = {Deng, Chenlong and Deng, Mengjie and Wu, Junjie and Zeng, Dun and Wang, Teng and Xie, Qingsong and Huang, Jiadeng and Ma, Shengjie and Zhang, Changwang and Wang, Zhaoxiang and Wang, Jun and Zhu, Yutao and Dou, Zhicheng},
-  year          = {2026},
-  eprint        = {2602.10809},
-  archivePrefix = {arXiv},
-  primaryClass  = {cs.CV}
-}
-```
-
-YFCC100M:
-
-```bibtex
-@article{thomee2016yfcc100m,
-  title   = {YFCC100M: The New Data in Multimedia Research},
-  author  = {Thomee, Bart and Shamma, David A. and Friedland, Gerald and Elizalde, Benjamin and Ni, Karl and Poland, Douglas and Borth, Damian and Li, Li-Jia},
-  journal = {Communications of the ACM},
-  volume  = {59},
-  number  = {2},
-  pages   = {64--73},
-  year    = {2016}
-}
-```