This artifact accompanies the paper "Parallel Block-Delayed Sequences" at PPoPP'22. The paper presents a library-only technique for fusing collection-oriented operations (map, zip, filter, flatten, scan, etc.) which improves both run-time and space usage by avoiding unnecessary intermediate allocations. This artifact provides source code for libraries in both C++ and Parallel ML, implementing block-delayed sequences. It also includes scripts to run experiments and reproduce the results in the paper, supporting our claims that block-delayed sequences provide significant improvements in both time and space.