Notes
Short-form research and engineering notes from the Ufinq team. These are working documents — observations, design memos, and research-question writeups that sit between full papers and the code. They describe what we are thinking about, why, and what we expect to find.
Notes do not replace papers. A note is a thread that may or may not become a paper; a paper is a result we are willing to defend in the literature. Treat the two accordingly.
Latest
Every Ufinq individual is already a local optimum
Standard genetic programming evolves raw candidates and lets selection do all the work. Ufinq does the opposite: every candidate is refined to a local optimum before it joins the gene pool. That single inversion explains an unusually large fraction of the system’s behaviour.
Read note § 2.2 · 2026-04-30 · RESEARCHDiversity is two things, not one
Most genetic-programming systems collapse all diversity into a single concept. Ufinq treats structural diversity and behavioural diversity as independent properties — because they fail in different ways, for different reasons, at different times.
Read note § 2.3 · 2026-04-22 · RESEARCHApproximate evaluation, as a research problem
Full-fidelity evaluation of evolved candidates is the dominant compute cost in symbolic regression at scale. CRESCENT treats evaluation itself as a search problem: which candidates deserve a full score, and which can be safely scored cheaply?
Read note