docs: Update main citation

README.md

@@ -603,25 +603,16 @@ We welcome contributions to the dataset, including new sources, improved data fi
 
 If you use this work, please cite the [scientific article](https://arxiv.org/abs/2508.02271), we recommend citing the following:
 
-> Enevoldsen, K., Jensen, K. N., Kostkan, J., Szabó, B., Kardos, M., Vad, K., Núñez, A. B., Barmina, G., Nielsen, J., Larsen, R., Vahlstrup, P., Dalum, P. M., Elliott, D., Galke, L., Schneider-Kamp, P., & Nielbo, K. (2025). Dynaword: From One-shot to Continuously Developed Datasets (arXiv:2508.02271). arXiv. https://doi.org/10.48550/arXiv.2508.02271
+> Enevoldsen, K.C., Jensen, K.N., Kostkan, J., Szab'o, B.I., Kardos, M., Vad, K., Heinsen, J., N'unez, A.B., Barmina, G., Nielsen, J., Larsen, R., Vahlstrup, P.B., Dalum, P.M., Elliott, D., Galke, L., Schneider-Kamp, P., & Nielbo, K.L. (2025). Dynaword: From One-shot to Continuously Developed Datasets.
 
 
 ```
-
-@misc{enevoldsenDynawordOneshotContinuously2025,
-	title = {Dynaword: {From} {One}-shot to {Continuously} {Developed} {Datasets}},
-	shorttitle = {Dynaword},
-	url = {http://arxiv.org/abs/2508.02271},
-	doi = {10.48550/arXiv.2508.02271},
-	abstract = {Large-scale datasets are foundational for research and development in natural language processing. However, current approaches face three key challenges: (1) reliance on ambiguously licensed sources restricting use, sharing, and derivative works; (2) static dataset releases that prevent community contributions and diminish longevity; and (3) quality assurance processes restricted to publishing teams rather than leveraging community expertise. To address these limitations, we introduce two contributions: the Dynaword approach and Danish Dynaword. The Dynaword approach is a framework for creating large-scale, open datasets that can be continuously updated through community collaboration. Danish Dynaword is a concrete implementation that validates this approach and demonstrates its potential. Danish Dynaword contains over four times as many tokens as comparable releases, is exclusively openly licensed, and has received multiple contributions across industry and research. The repository includes light-weight tests to ensure data formatting, quality, and documentation, establishing a sustainable framework for ongoing community contributions and dataset evolution.},
-	urldate = {2025-08-05},
-	publisher = {arXiv},
-	author = {Enevoldsen, Kenneth and Jensen, Kristian Nørgaard and Kostkan, Jan and Szabó, Balázs and Kardos, Márton and Vad, Kirten and Núñez, Andrea Blasi and Barmina, Gianluca and Nielsen, Jacob and Larsen, Rasmus and Vahlstrup, Peter and Dalum, Per Møldrup and Elliott, Desmond and Galke, Lukas and Schneider-Kamp, Peter and Nielbo, Kristoffer},
-	month = aug,
-	year = {2025},
-	keywords = {Computer Science - Artificial Intelligence, Computer Science - Computation and Language},
+@article{enevoldsen2025dynaword,
+  title={Dynaword: From One-shot to Continuously Developed Datasets},
+  author={Enevoldsen, Kenneth and Jensen, Kristian N{\o}rgaard and Kostkan, Jan and Szab{\'o}, Bal{\'a}zs and Kardos, M{\'a}rton and Vad, Kirten and N{\'u}{\~n}ez, Andrea Blasi and Barmina, Gianluca and Nielsen, Jacob and Larsen, Rasmus and others},
+  journal={arXiv preprint arXiv:2508.02271},
+  year={2025}
 }
-
 ```
 
 Additionally, we recommend citing the relevant source datasets as well. See the individual datasheets for more information.