scTrilemma: Balancing Identity, Invariance, and Fidelity in Single-Cell Representation Learning.

arXiv:2609.38840v2 Announce Type: replace-cross Abstract: Single-cell RNA-seq representation learning is fundamentally label-free: cell identities, states, and contexts are not fixed training targets, so what constitutes signal or nuisance is analysis-dependen