Add technical report link and text improvements

README.md

@@ -2,19 +2,14 @@
 license: apache-2.0
 ---
 
-THIS IS WORK IN PROGRESS
+# Document Layout Analysis "egret-medium"
 
+🚀 **`egret-medium`** is a Document Layout Analysis Model used in the [Docling project](https://github.com/docling-project/docling).
 
-# Docling Layout Model egret-medium
+📄 For an in-depth description of the model architecture, training datasets, and evaluation methodology, please refer to our technical report: **"Advanced Layout Analysis Models for Docling"**, Nikolaos Livathinos *et al.*, [🔗 https://arxiv.org/abs/2509.11720](https://arxiv.org/abs/2509.11720)
 
-`docling-layout-egret-medium` is a Document Layout Model based on [DFINE-m](https://github.com/Peterande/D-FINE).
 
-The model has been trained from scratch on a mix of document datasets.
-
-It is part of the [Docling project](https://github.com/docling-project/docling).
-
-
-# Inference code example
+## Inference code example
 
 Prerequisites:
 
@@ -88,9 +83,19 @@ for result in results:
 ```
 
 
-# References
+## References
 
 ```
+@misc{livathinos2025advancedlayoutanalysismodels,
+      title={advanced layout analysis models for docling},
+      author={nikolaos livathinos and christoph auer and ahmed nassar and rafael teixeira de lima and maksym lysak and brown ebouky and cesar berrospi and michele dolfi and panagiotis vagenas and matteo omenetti and kasper dinkla and yusik kim and valery weber and lucas morin and ingmar meijer and viktor kuropiatnyk and tim strohmeyer and a. said gurbuz and peter w. j. staar},
+      year={2025},
+      eprint={2509.11720},
+      archiveprefix={arxiv},
+      primaryclass={cs.cv},
+      url={https://arxiv.org/abs/2509.11720},
+}
+
 @techreport{Docling,
   author = {Deep Search Team},
   month = {8},
@@ -101,14 +106,5 @@ for result in results:
   version = {1.0.0},
   year = {2024}
 }
-
-@misc{peng2024dfine,
-      title={D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement},
-      author={Yansong Peng and Hebei Li and Peixi Wu and Yueyi Zhang and Xiaoyan Sun and Feng Wu},
-      year={2024},
-      eprint={2410.13842},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV}
-}
 ```