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This work presents an online architecture that recovers association accuracy by predicting IDs explicitly over recurrent sparse queries, and adapt MOTIP's relative-ID prediction and recycled slot runtime to globally fused 3D observations, and introduces metric spatial gating and proximity based newborn recovery.