diff --git a/paper/src/chapters/03-methodology.tex b/paper/src/chapters/03-methodology.tex
index d2bc554..fef7957 100644
--- a/paper/src/chapters/03-methodology.tex
+++ b/paper/src/chapters/03-methodology.tex
@@ -297,6 +297,8 @@ To scale this to catalog-level pricing, we expand the base event transition matr
 \subsection{Second-Stage Classification}
 After contamination, we run a second classification stage. We remap events into a semantically aligned feature space, apply richer feature engineering, and retrain to obtain cleaner label probabilities across the full dataset. This classifier is then used directly in the reinforcement-learning reward structure.
 
+Now might be a good time to stand up and go for a quick walk before returning to the rest of this paper.
+
 
 \subsection{Distributionally Robust Reinforcement Learning (DR-RL)}