Could a CPU reference for parallelLttbDecimate be useful from the library side?

[notferdon]

I built a small deterministic CPU reference around ChartGPU’s parallel-LTTB path to make bucket-level decisions inspectable - every candidate, the neighboring bucket averages, and the winner/runner-up margin.

It focuses on ordinary full-scan interior buckets up to 512 points and lives as a separate JS reference, rather than making a GPU parity claim.

https://github.com/notferdon/decimation-decision-microscope

From the library side, where could something like this actually be useful - debugging, regression testing, correctness checks, or somewhere else?

And if you were going to test one invariant first, which would matter most: bucket/index behavior, numerical precision, or something I’m missing?