Link WaveLSFormer paper in README

README.md

@@ -10,6 +10,8 @@ stock-specific training objectives, PyTorch Lightning experiment loops,
 config-driven model runs, and learnable wavelet front-end components for
 low/high frequency feature extraction.
 
+Paper: [A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization](https://arxiv.org/abs/2601.13435).
+
 The repository includes:
 
 - transformer, Informer, DLinear, LSTM, and MLP model baselines;
@@ -19,6 +21,4 @@ The repository includes:
 - YAML experiment configs for financial and benchmark time-series datasets;
 - notebooks and scripts for data collection, preparation, and result analysis.
 
-Initially forked from the [Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting repo](https://github.com/zhouhaoyi/Informer2020).
-
 Thanks to [polygon.io](http://polygon.io/) for being our financial data provider.