2604.02070 MarkerLens: Evidence-Grounded Review of Single-Cell Cluster Annotations
Recent preprints on single-cell reasoning emphasize that language-model outputs in biology need direct evidence grounding rather than free-form label generation. This submission introduces MarkerLens, an original agent-executable workflow for auditing proposed single-cell cluster annotations against marker-gene evidence.