Update README.md

updated arxiv badges

README.md

@@ -15,10 +15,10 @@ At NXAI, we translate advanced AI research into market-ready, high-efficiency so
 
 ## ⚙️ What We Build 
 - **xLSTM architecture** — our next-generation core technology, developed under the leadership of AI pioneer Sepp Hochreiter, delivering higher efficiency compared to transformer models.
-[![Paper](https://img.shields.io/badge/arxiv-xlstm-red)](https://arxiv.org/abs/2405.04517)
+[![Paper](https://img.shields.io/static/v1?label=Paper&message=2405.04517&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2405.04517)
 - **Foundation models for industrial data:** time-series, vision and multimodal.
 - **Edge-ready deployments**: compact, low-power, real-time inference across embedded and cloud-edge environments.
-- **Flagship model TiRex** 🦖  — a zero-shot forecasting foundation model (35 M parameters) built on xLSTM, tailored for time series in industrial settings. [![Paper](https://img.shields.io/badge/arxiv-tirex-red)](https://arxiv.org/abs/2505.23719) [![PyPI](https://img.shields.io/pypi/v/tirex-ts?color=blue)](https://pypi.org/project/tirex-ts/)
+- **Flagship model TiRex** 🦖  — a zero-shot forecasting foundation model (35 M parameters) built on xLSTM, tailored for time series in industrial settings.[![Paper](https://img.shields.io/static/v1?label=Paper&message=2505.23719&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2505.23719) [![PyPI](https://img.shields.io/pypi/v/tirex-ts?color=blue)](https://pypi.org/project/tirex-ts/)
 
 ## 🔬 Collaborate With Us 
 We welcome: