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.