Additional-Review-(marginalization-over-joint-population+EoS-uncertainty).md

@@ -73,8 +73,9 @@ The correct sum is implemented within the updated code [here](https://git.ligo.o
 This difference can cause discrepencies between the old and the new code when there is a nontrivial marginalization over the population (i.e., when there is more than a single population sample `\Lambda_p`).
 These can be much larger than the statistical uncertainty from the finite number of Monte Carlo samples (see [below](#comparison-to-previous-results)), but have never been large enough to change the scientific conclusions drawn. Furthermore, [ApJ 915 L5 (2021)](https://iopscience.iop.org/article/10.3847/2041-8213/ac082e) only reported results assuming a fixed population (flat in source-frame component masses) and therefore this issue did not affect the published results.
 
-- [ ] Reviewer signoff on desired expression (within technical note)
-- [ ] Reviewer signoff on implementation within the code
+- [X] Reviewer signoff on desired expression (within technical note)
+- [X] Reviewer signoff on implementation within the code
+     -  The code is normalized w.r.t. the single event parameters ($\theta$ or `\theta_i$ above)
 
 
 ## technical note