Upload README.md with huggingface_hub

README.md

@@ -15,7 +15,8 @@ license: apache-2.0
 TIMEE is a pretrained transformer for time series classification.
 It classifies test series in a **single forward pass** given labeled training examples — no per-dataset training or fine-tuning required.
 
-**Paper:** *TIMEE: End-to-end Time Series Classification via In-Context Learning* (under review)
+[![arXiv](https://img.shields.io/badge/arXiv-2607.07500-b31b1b.svg)](https://arxiv.org/abs/2607.07500)
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://www.apache.org/licenses/LICENSE-2.0)
 
 ## Usage
 
@@ -63,8 +64,13 @@ Results use the default 4-member ensemble (interpolate × {256, 512} × {raw, fi
 ## Citation
 
 ```bibtex
-@inproceedings{timee2026,
-  title = {TIMEE: End-to-end Time Series Classification via In-Context Learning},
-  year  = {2026},
+@misc{küken2026timeeendtoendtimeseries,
+      title={TimEE: End-to-end Time Series Classification via In-Context Learning},
+      author={Jaris Küken and Shi Bin Hoo and Martin Mráz and Frank Hutter and Lennart Purucker},
+      year={2026},
+      eprint={2607.07500},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2607.07500},
 }
 ```