Update README.md

README.md

@@ -22,11 +22,17 @@ tags:
 
 <center>
 <div style="text-align: center;">
-  <img 
-    src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/7_6D7rWrLxp2hb6OHSV1p.png" 
-    alt="Liquid AI"
-    style="width: 100%; max-width: 66%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
-  />
+  <picture>
+    <source 
+      srcset="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/nWUhffgmUBuNAdxUX6g1T.png" 
+      media="(prefers-color-scheme: dark)"
+    />
+    <img 
+      src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/7_6D7rWrLxp2hb6OHSV1p.png" 
+      alt="Liquid AI"
+      style="width: 100%; max-width: 66%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
+    />
+  </picture>
 </div>
 <div style="display: flex; justify-content: center;">
 <a href="https://playground.liquid.ai/chat">
@@ -36,7 +42,7 @@ tags:
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@@ -357,3 +363,18 @@ The following plots showcase the performance of different models under int4 quan
 ## 📬 Contact
 
 If you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact).
+
+
+## Citation
+
+```
+@article{liquidai2025lfm2technicalreport,
+      title={LFM2 Technical Report}, 
+      author={Liquid AI},
+      year={2025},
+      eprint={2511.23404},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2511.23404}, 
+}
+```