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@@ -192,7 +192,7 @@
         
         <h2>Evaluation Criteria</h2>
         <p>
-          The primary evaluation metric for the IqraEval system is the <strong>F1-score</strong> at the phoneme level. In addition, we adopt a hierarchical evaluation structure that breaks down performance into detection and diagnostic phases.
+          The primary evaluation metric for the IqraEval system is the <strong>F1-score</strong> at the phoneme level. In addition, we adopt a hierarchical evaluation structure, <a href="https://arxiv.org/pdf/2310.13974" target="_blank">MDD Overview</a>, that breaks down performance into detection and diagnostic phases.
         </p>
         <p>
           <strong>Hierarchical Evaluation Structure:</strong>  
@@ -252,9 +252,6 @@
             </li>
           </ul>
         </p>
-        <p>
-          <em>(Detailed evaluation weights and scripts will be made available on June 5, 2025.)</em>
-        </p>
 
 
         <!-- Submission Details -->
@@ -316,6 +313,12 @@ ID,Labels
               "<a href="https://arxiv.org/abs/2111.06331" target="_blank">Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset</a>," 
               <em>arXiv preprint arXiv:2111.06331</em>, 2021.
             </li>
+            <li>
+              El Kheir, Y., et al.
+              "<a href="https://arxiv.org/pdf/2310.13974" target="_blank">Automatic Pronunciation Assessment - A Review</a>," 
+              <em>arXiv preprint arXiv:2310.13974</em>, 2021.
+            </li>
+            
           </ul>
 
     </div>