Update README.md

Author: Evolutionary-Intelligence

README.md

@@ -903,21 +903,9 @@ reported in the (actively-updated) paper list called
   [Evolutionary operation: A method for increasing industrial productivity](https://rss.onlinelibrary.wiley.com/doi/abs/10.2307/2985505).
   JRSS-SC, 6(2), pp.81-101.
 
-## Citations
+## Citation
 
-If this open-source Python library is used in your paper or project,
-it is highly welcomed *but NOT mandatory* to cite the following
-arXiv [preprint](https://arxiv.org/abs/2212.05652) paper (First
-Edition: 12 Dec 2022): **Duan, Q., Zhou, G., Shao, C., and Others,
-2024. PyPop7: A Pure-Python Library for Population-Based Black-Box
-Optimization. arXiv preprint arXiv:2212.05652.** (Now it has been
-submitted to [JMLR](https://jmlr.org/), after 3-round reviews from
-28 Mar 2023 to 01 Nov 2023 to 05 Jul 2024, and finally accepted in
-11 Oct 2024.)
-
-### BibTeX (2024)
-
-The *BibTeX* citation format for PyPop7 is given in detail below:
+### BibTeX for JMLR-2024
 
 @article{2024-JMLR-Duan,
   title={{PyPop7}: A {pure-Python} library for population-based black-box optimization},