fix formatting

Author: Red-Portal

docs/src/tutorials/constrained.md

@@ -80,10 +80,10 @@ z \sim q_{b}^* \quad\Leftrightarrow\quad z \stackrel{\mathrm{d}}{=} b^{-1}(\eta)
 
 The idea of applying a change-of-variable to the variational approximation to match a constrained posterior was popularized by the automatic differentiation VI[^KTRGB2017].
 
-[^KTRGB2017]: Kucukelbir, A., Tran, D., Ranganath, R., Gelman, A., & Blei, D. M. (2017). Automatic differentiation variational inference. Journal of machine learning research, 18(14), 1-45.
 Now, there are two ways how to do this in Julia.
 First, let's define the constrained posterior example above using the `LogDensityProblems` interface for illustration:
 
+[^KTRGB2017]: Kucukelbir, A., Tran, D., Ranganath, R., Gelman, A., & Blei, D. M. (2017). Automatic differentiation variational inference. Journal of machine learning research, 18(14), 1-45.
 ```@example constraints
 using LogDensityProblems