Update README.md

README.md

@@ -19,10 +19,10 @@ We achieved **state-of-the-art accuracy in the M5 Forecasting Competition**, bea
 ##  Why DATFID Stands Out
 
 - **Professionally recognized benchmarking**  
-  M5 is part of the renowned “M-Competitions” series, used worldwide to compare forecasting methods under realistic conditions. ([Makridakis Competitions, Wikipedia](https://en.wikipedia.org/wiki/Makridakis_Competitions)) :contentReference[oaicite:12]{index=12}.
+  M5 is part of the renowned “M-Competitions” series, used worldwide to compare forecasting methods under realistic conditions. ([Makridakis Competitions, Wikipedia](https://en.wikipedia.org/wiki/Makridakis_Competitions)).
 
 - **Hierarchical & intermittent series**  
-  DATFID handles complex retail data with product-store hierarchies, zero-heavy series, pricing, calendar events, and promotional features—all core challenges of the M5 setup ([Background & Organization of the M5 Competition](https://www.sciencedirect.com/science/article/pii/S0169207021001187)) :contentReference[oaicite:13]{index=13}.
+  DATFID handles complex retail data with product-store hierarchies, zero-heavy series, pricing, calendar events, and promotional features—all core challenges of the M5 setup ([Background & Organization of the M5 Competition](https://www.sciencedirect.com/science/article/pii/S0169207021001187)).
 
 - **Robust accuracy**  
   Scoring well on 42,840 series across multiple aggregation levels is a testament to our method’s strength—especially on challenging intermittent product-level data.