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README.md

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 This dataset hosts the large binary artefacts for the paper **"City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery."** It is the companion of the code repository on GitHub:
 
+- **Paper (arXiv):** https://arxiv.org/abs/2606.15198
 - **Code & derived data (GitHub):** https://github.com/Sijie-Yang/City-Landscape-In-Sight
 - **Images & trained weights (this dataset):** https://huggingface.co/datasets/sijiey/City-Landscape-In-Sight
 
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 ## Citation
 
-Peng, C., Yang, S., Liu, A., Xiang, Y., Zhou, Z., & Biljecki, F. City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery. (Under review.)
+Peng, C., Yang, S., Liu, A., Xiang, Y., Zhou, Z., & Biljecki, F. (2026). *City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery.* arXiv:2606.15198. https://arxiv.org/abs/2606.15198
+
+```bibtex
+@article{peng2026citylandscape,
+  title        = {City landscape in sight: A crowdsourced framework for unlocking urban-scale window view perceptions from real estate imagery},
+  author       = {Peng, Chucai and Yang, Sijie and Liu, Ang and Xiang, Yang and Zhou, Zhixiang and Biljecki, Filip},
+  journal      = {arXiv preprint arXiv:2606.15198},
+  year         = {2026},
+  doi          = {10.48550/arXiv.2606.15198},
+  url          = {https://arxiv.org/abs/2606.15198}
+}
+```