Update README.md

README.md

@@ -10,6 +10,10 @@ The **IRIS Dataset** is a comprehensive real-world dataset designed to study sim
 
 This release accompanies our paper and the open-source synthetic data generation code [SynthRender](https://anonymous.4open.science/r/SynthRender-main). The goal is to provide a complete, reproducible benchmark for evaluating and advancing sim-to-real methods in industrial robotics.
 
+## Citation
+J. M. Araya-Martinez, T. Tom, A. S. Reig, P. R. Valiente, J. Lambrecht, and J. Krüger, 
+“Synthrender and iris: Open-source framework and dataset for bidirectional sim-real transfer in industrial object perception,”
+2026. [Online]. Available: https://arxiv.org/abs/2602.21141
 
 ## Dataset Statistics
 **TOTAL DATA**: 508 images, 32 classes
@@ -264,13 +268,6 @@ Pre-trained YOLO11m models of our best 2 performing synthetic datasets:
 </tbody>
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-
-## Citation
-J. M. Araya-Martinez, T. Tom, A. S. Reig, P. R. Valiente, J. Lambrecht, and J. Krüger, 
-“Synthrender and iris: Open-source framework and dataset for bidirectional sim-real transfer in industrial object perception,”
-2026. [Online]. Available: https://arxiv.org/abs/2602.21141
-
 ## License
 See LICENSE.txt for terms and conditions.