SOLVENT's annotation scheme for decomposing research papers into background, purpose, mechanism, and findings has been directly adapted for new annotation tasks and extended to finer-grained research aspect classification; its aspect-based document representation has informed work on faceted scientific document retrieval and sentence-level document similarity models; its mixed-initiative approach combining crowdsourcing with computational modeling has served as a baseline and design reference for knowledge modeling systems and crowd-powered annotation tools; its framing of cross-domain analogy discovery has motivated research on semantic relation classification between documents, analogy-based design, and computational creativity support; and its labeled dataset has been reused to build new analogy search models.