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Preprint Aug 2026

Auditing Semantic Gains in Sequential Recommendation: A Lightweight Recovery Test

The results suggest that lightweight recovery from offline item representations and transparent fusion should be ruled out before improvements are attributed to serving-time language modeling, semantic-ID generation, or heavier semantic machinery.

Kong Wang, Zhongke He, Xiang Chen et al. · 0 citations

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