arxiv
PublishedJune 1, 2026 at 4:00 AM
—neutral
Discovering a Zeta Map Algorithm on Dyck Paths via Mechanistic Interpretability
Publisher summary· verbatim
arXiv:2605.30482v1 Announce Type: new Abstract: Machine learning is increasingly used in mathematical discovery, but in mathematics the desired output is often not a prediction itself, but an explicit construction that can be checked independently. We study this setting through the zeta map on Dyck
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivADS-C: Antidistillation Sampling for Classification20harxivTesting Distributions Against Bounded Distinguishers20harxivBeyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes20harxivFrom Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems20hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗