SSLD (Semidefinite Spectral Learning with DSATUR) is a new method proposed in a paper posted on arXiv (arXiv:2609.17633) that pre-seeds a high-quality first color class using semidefinite programming before DSATUR begins, and then hands off the remaining vertex coloring to DSATUR.