EML operator family, 52-74% node reduction, and empirical results from 36 hours of building
We spent 36 hours implementing and extending arXiv:2603.21852 (Odrzywołek, 2026 — the "NAND gate for continuous math" paper that was on the front page two days ago).
What we found: phantom attractors in EML symbolic regression, a Lambert W fixed point governing right-chain trees, two new operators (EDL, EXL), a HybridOperator that cuts node counts 52-74%, and machine-precision Taylor sin(x) at 108 nodes.
npm install monogate / pip install monogate
Live explorer:
https://explorer.monogate.dev/
Challenge board: monogate.dev
Paper draft: github.com/almaguer1986/monogate/blob/main/python/PAPER.md
just vibe coding this with claude and grok
hopefully this is helpful or useful to someone