Update README.md to enhance demo visibility and citation details

Author: sergioburdisso

README.md

@@ -5,10 +5,10 @@
 [![codecov](https://codecov.io/gh/idiap/sdialog/graph/badge.svg?token=2210USI8I0)](https://app.codecov.io/gh/idiap/sdialog?displayType=list)
 [![PyPI version](https://badge.fury.io/py/sdialog.svg)](https://badge.fury.io/py/sdialog)
 [![Downloads](https://static.pepy.tech/badge/sdialog)](https://pepy.tech/project/sdialog)
-[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
+[![Demo video](https://img.shields.io/badge/Demo%20video-YouTube-red?logo=youtube)](https://www.youtube.com/watch?v=oG_jJuU255I)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/idiap/sdialog/)
 
-Quick links: [Website](https://sdialog.github.io/) • [GitHub](https://github.com/idiap/sdialog) • [Docs](https://sdialog.readthedocs.io) • [API](https://sdialog.readthedocs.io/en/latest/api/sdialog.html) • [Demo (Colab)](https://colab.research.google.com/github/idiap/sdialog/blob/main/tutorials/demo.ipynb) • [Tutorials](https://github.com/idiap/sdialog/tree/main/tutorials) • [Datasets (HF)](https://huggingface.co/datasets/sdialog) • [Issues](https://github.com/idiap/sdialog/issues)
+Quick links: [Website](https://sdialog.github.io/) • [GitHub](https://github.com/idiap/sdialog) • [Docs](https://sdialog.readthedocs.io) • [API](https://sdialog.readthedocs.io/en/latest/api/sdialog.html) • [ArXiv paper](https://arxiv.org/abs/2512.09142) • [Demo (video)](demo.md) • [Tutorials](https://github.com/idiap/sdialog/tree/main/tutorials) • [Datasets (HF)](https://huggingface.co/datasets/sdialog) • [Issues](https://github.com/idiap/sdialog/issues)
 
 ---
 SDialog is an MIT-licensed open-source toolkit for building, simulating, and evaluating LLM-based conversational agents end-to-end. It aims to bridge agent construction → user simulation → dialog generation → evaluation in a single reproducible workflow, so you can generate reliable, controllable dialog systems or data at scale.
@@ -310,7 +310,8 @@ print(audio_dialog.display())
 
 ## 📖 Documentation and tutorials
 
-- [Demo notebook](https://colab.research.google.com/github/idiap/sdialog/blob/main/tutorials/demo.ipynb)
+- [ArXiv paper](https://arxiv.org/abs/2512.09142)
+- [Demo (video)](demo.md)
 - [Tutorials](https://github.com/idiap/sdialog/tree/main/tutorials)
 - [API reference](https://sdialog.readthedocs.io/en/latest/api/sdialog.html)
 - [Documentation](https://sdialog.readthedocs.io)
@@ -377,22 +378,28 @@ This project follows the [all-contributors](https://github.com/all-contributors/
 
 <!-- ALL-CONTRIBUTORS-LIST:END -->
 
-<!-- ## 📚 Citation
+## 📚 Citation
+
+If you use SDialog in academic work, please consider citing [our paper](https://arxiv.org/abs/2512.09142):
 
-If you use SDialog in academic work, please cite:
 ```bibtex
-@misc{sdialog2025,
-  title  = {SDialog: A Toolkit for Synthetic Dialog Generation, Evaluation, and Interpretability},
-  author = {Contributors of the SDialog Project},
-  year   = {2025},
-  url    = {https://github.com/idiap/sdialog}
+@misc{burdisso2025sdialogpythontoolkitendtoend,
+  title         = {SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation},
+  author        = {Sergio Burdisso and Séverin Baroudi and Yanis Labrak and David Grunert and Pawel Cyrta and Yiyang Chen and Srikanth Madikeri and Esaú Villatoro-Tello and Thomas Schaaf and Ricard Marxer and Petr Motlicek},
+  year          = {2025},
+  eprint        = {2512.09142},
+  archivePrefix = {arXiv},
+  primaryClass  = {cs.AI},
+  url           = {https://arxiv.org/abs/2512.09142},
 }
-``` -->
+```
+
+_(A system demonstration version of the paper has been submitted to EACL 2026 and is under review; we will update this BibTeX if accepted)_
 
 
 ## 🙏 Acknowledgments
 
-This work was supported by the European Union Horizon 2020 project [ELOQUENCE](https://eloquenceai.eu/about/) and received a significant development boost during the **Johns Hopkins University** [JSALT 2025 workshop](https://jsalt2025.fit.vut.cz/), as part of the ["Play your Part" research group](https://jsalt2025.fit.vut.cz/play-your-part). We thank all contributors and the open-source community for their valuable feedback and contributions.
+This work was mainly supported by the European Union Horizon 2020 project [ELOQUENCE](https://eloquenceai.eu/about/) and received a significant development boost during the **Johns Hopkins University** [JSALT 2025 workshop](https://jsalt2025.fit.vut.cz/), as part of the ["Play your Part" research group](https://jsalt2025.fit.vut.cz/play-your-part). We thank all contributors and the open-source community for their valuable feedback and contributions.
 
 ## 📝 License