Link published arXiv paper and citation

README.md

@@ -27,7 +27,7 @@ for Forecasting, Contextual Prediction, and Reasoning**.
 
 Accepted at the [Foundation Models for Temporal Systems (FMTS) workshop at NeurIPS 2026](https://fmts-workshop.github.io/index.html#program).
 
-[Paper](https://arxiv.org/abs/ARXIV_ID) ·
+[Paper](https://arxiv.org/abs/2609.40265) ·
 [Code](https://github.com/OpenTSLM/OpenTSLM-TeeMoE)
 
 ## Usage
@@ -90,9 +90,10 @@ If you use TeeMoE in your work, please cite:
   title = {{OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning}},
   author = {Tony Chen and Timo Stoffregen and Maxwell Xu and Thomas Kaar and Martin Maritsch and Geremia Pompei and Nicolas Zumarraga and Robert Jakob and Paul Schmiedmayer and Patrick Langer and Juncheng Liu},
   year = {2026},
-  eprint = {ARXIV_ID},
+  eprint = {2609.40265},
   archivePrefix = {arXiv},
-  url = {https://arxiv.org/abs/ARXIV_ID}
+  primaryClass = {cs.LG},
+  url = {https://arxiv.org/abs/2609.40265}
 }
 ```