diff --git a/pages/RecSys_2025_Reproducibility_711.md b/pages/RecSys_2025_Reproducibility_711.md
index 18101255..cd5ccc72 100644
--- a/pages/RecSys_2025_Reproducibility_711.md
+++ b/pages/RecSys_2025_Reproducibility_711.md
@@ -1,3 +1,4 @@
+collapsed:: true
 type:: [[REVIEWS]]
 tags:: 
 year:: 2025
@@ -6,12 +7,11 @@ full-title::  Investigating Carbon Footprint of Recommender Systems Beyond Train
 date-start:: [[09-06-2025]] - 16:29
 date-submitted::
 external-links::
-status:: [[DOING]]
+status:: [[DONE]] 
 deadline-submission:: 
 file:: [[@RecSys_2025_Reproducibility_711]] 
 parent::
 todoist::  https://app.todoist.com/app/task/711-investigating-carbon-footprint-of-recommender-systems-beyond-training-time-a-6c7x6q6cJ5hjvX26
-collapsed:: true
 
 	- ### [[Comments]]
 		- Overall Presentation: Overall, the paper is well written and structured. Both the goal and the proposed solution are clearly described. I have only a few concerns related to missing justifications or explanations. In particular, I am not convinced by the rationale for using a mobile setup, nor why such a configuration was chosen to compare the original environment with the one presented in this work.