Sign inGet started
Paper · arXiv

Moonshine: An Autonomous Mathematical Research Agent Centered on Conjecture Generation

Moonshine is an autonomous agent whose central objective is to generate mathematical conjectures. Its core capability is to extract structure from classical problems, distill new concepts, and formulate conjectures of mathematical significance. Rather than treating the solution of a single proposition as its endpoint, Moonshine builds an extensible theoretical framework through conjecture generation, bridge building, and obstacle identification. This article uses Moonshine's exploration of the Jacobian conjecture as an example. It shows how the central logic of whether local nondegeneracy can force global injectivity is transferred to one-hidden-layer affine-ridge sigmoid networks. This l...

AuthorsXiaoyang Chen, Xiang Jiang
Primary categorycs.AI
Published9 June 2026
Last updated at source9 June 2026
cs.AImath.FA
Embed this entry
<iframe src="https://silytics.si/embed/item/b4104867-a673-465a-8f19-250d6113ee0e" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.