Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

ArXi:2603.25573v1 Announce Type: cross Accurate biodiversity identification from large-scale field data is a foundational problem with direct impact on ecology, conservation, and environmental monitoring. In practice, the core task is taxonomic prediction - inferring order, family, genus, or species from imperfect inputs such as specimen images, DNA barcodes, or both. Existing multimodal methods often treat taxonomy as a flat label space and. therefore.