Update README.md

README.md

@@ -1,12 +1,12 @@
----
-license: mit
-language:
-- en
-tags:
-- uncertainty
-- uncertainty-quantification
-- code
----
+---
+license: mit
+language:
+- en
+tags:
+- uncertainty
+- uncertainty-quantification
+- code
+---
 
 # SPC-UQ: A Post-hoc, Efficient, and Unified Uncertainty Quantification Framework
 
@@ -14,7 +14,7 @@ This repository contains the official code for **SPC-UQ** (Split-Point Consisten
 
 It accompanies the paper:
 
-**"Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning."**
+[**"Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning."**](https://arxiv.org/abs/2509.13262)
 
 ## Key Features
 
@@ -75,9 +75,10 @@ See the documentation in each subdirectory for details on dataset preparation, c
 If you use SPC-UQ in your research, please cite our paper:
 
 ```
-@article{zhao2025spc,
-  title   = {Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning},
-  author  = {Zhao, ZZ and Chen, Ke},
-  year    = {2025}
+@article{zhao2025post,
+  title={Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning},
+  author={Zhao, Zhizhong and Chen, Ke},
+  journal={arXiv preprint arXiv:2509.13262},
+  year={2025}
 }
 ```