UniVI overview and evaluation roadmap. (A) UniVI (loss_mode=“v1”) with modality-specific encoders/decoders, a shared latent prior, and MoE aggregation. (B) v1 training objective: reconstruction, KL to the shared prior, and symmetric paired posterior alignment. (C) Evaluated study designs spanning paired, trimodal, bridge, and mosaic regimes. Example trimodal RNA-ATAC-ADT architecture shown to highlight UniVI’s built-in modularity. (D) Metrics and diagnostics used across regimes (paired correspondence, modality mixing, label transfer, cross-modal reconstruction, biological consistency).