diff --git a/_bibliography/pint.bib b/_bibliography/pint.bib
index 6046d678..884c7887 100644
--- a/_bibliography/pint.bib
+++ b/_bibliography/pint.bib
@@ -7571,6 +7571,21 @@ @article{FungEtAl2025
 	year = {2025},
 }
 
+@article{JinEtAl2025,
+	author = {Jin, Bangti and Lin, Qingle and Zhou, Zhi},
+	doi = {10.1137/23m1619733},
+	issn = {1095-7197},
+	journal = {SIAM Journal on Scientific Computing},
+	month = {March},
+	number = {2},
+	pages = {A735–A761},
+	publisher = {Society for Industrial & Applied Mathematics (SIAM)},
+	title = {Optimizing Coarse Propagators in Parareal Algorithms},
+	url = {http://dx.doi.org/10.1137/23M1619733},
+	volume = {47},
+	year = {2025},
+}
+
 @unpublished{LaidinEtAl2025,
 	abstract = {We present the design of a multiscale parareal method for kinetic equations in the fluid dynamic regime. The goal is to reduce the cost of a fully kinetic simulation using a parallel in time procedure. Using the multiscale property of kinetic models, the cheap, coarse propagator consists in a fluid solver and the fine (expensive) propagation is achieved through a kinetic solver for a collisional Vlasov equation. To validate our approach, we present simulations in the 1D in space, 3D in velocity settings over a wide range of initial data and kinetic regimes, showcasing the accuracy, efficiency, and the speedup capabilities of our method.},
 	author = {Tino Laidin and Thomas Rey},