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@@ -167,11 +167,7 @@ Output: Curated dataset D*
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  - Significant reduction in computational resources and training time
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- ## Post-Rebuttal Update: Cross-Architecture Validation with HEEP-Indic
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- **Addressing Q1 (Gain Attribution), Q2 (Baselines), and Q3 (Base Model Dependency)**
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- We apologize for the supplementary post after the rebuttal period. These results were finalized shortly after the deadline, and we wanted to ensure complete experimental evidence was available rather than leave placeholders.
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  #### Resources
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  4. **Reproducibility.** Model weights, curation code, and training scripts for both backbones are at the anonymous repository.
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- *We hope Reviewers 2ezj, oXjG, and S4Jd also find this supplementary evidence relevant to their earlier questions on generalization and controlled multilingual evaluation.*
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  ## Model Details
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  - Significant reduction in computational resources and training time
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+ ## Cross-Architecture Validation with HEEP-Indic
 
 
 
 
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  #### Resources
 
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  4. **Reproducibility.** Model weights, curation code, and training scripts for both backbones are at the anonymous repository.
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  ## Model Details
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