Update README.md

README.md

@@ -65,7 +65,7 @@ configs:
 Document-level word alignment data for six language pairs — English–French (en-fr), English–Romanian (en-ro), English–Japanese (en-ja), English–Chinese (en-zh), Latin–Ancient Greek (la-gr), and English–Czech (en-cz) — reconstructed from existing sentence-level, human-annotated word alignment gold standards.
 
 Document-level examples are built by grouping sentence-level annotations by document membership and sentence order; the dataset does not contain new human annotation beyond what already exists in the source corpora (see [Sources & Licensing](#sources--licensing)).
-This dataset accompanies the paper *"Scaling Unsupervised Word Alignment to Documents with Structural Constraints"* (\[citation TODO\]).
+This dataset accompanies the paper [*"Scaling Unsupervised Word Alignment to Documents with Structural Constraints"*](https://arxiv.org/abs/2608.21023).
 
 
 ## Dataset Structure
@@ -126,10 +126,13 @@ Document-level examples were constructed by concatenating sentence-level source/
 If you use this dataset, please cite both this work and the original source(s) listed in [Sources & Licensing](#sources--licensing) for the language pair(s) you use.
 
 ```bibtex
-@inproceedings{TODO,
-  title     = {Scaling Unsupervised Word Alignment to Documents with Structural Constraints},
-  author    = {TODO},
-  booktitle = {TODO},
-  year      = {2026}
+@misc{wastl2026scalingunsupervisedwordalignment,
+      title={Scaling Unsupervised Word Alignment to Documents via Structural Constraints}, 
+      author={Michelle Wastl and Jannis Vamvas and Rico Sennrich},
+      year={2026},
+      eprint={2608.21023},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2608.21023}, 
 }
 ```