Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Ryunosuke Nakano

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

The Constant in Thomae-Type Formulas for Eight Points on the Complex Projective Line

We consider the family of cyclic fourfold covers $w^4 = \prod_{j=1}^{7}(z-x_j)$ of the complex projective line branched at the eight points $x_1,\ldots,x_7,\infty$. The period map identifies the configuration space $X(2,8)$ of the branch points with a Zariski open subset of a quotient of the five-dimensional complex ba...

Ryunosuke Nakano · 0 citations
Preprint Aug 2026

The obstruction to intrinsic perturbation for $A$-hypergeometric series

We show that, at a fake exponent of an $A$-hypergeometric system and for an ordered negative support family, intrinsic perturbation within $\ker_{\mathbb{Z}}(A)$ can produce a strictly smaller coefficient space than ambient perturbation, which answers a question of Okuyama--Saito. We measure the failure by an intrinsic...

Ryunosuke Nakano · 2 citations
Preprint Aug 2026

Obstructions to intrinsic perturbation for $A$-hypergeometric series

We show that, at a fake exponent of an $A$-hypergeometric system and for an ordered negative support family, intrinsic perturbation within $\ker_{\mathbb{Z}}(A)$ can produce a strictly smaller coefficient space than ambient perturbation, which answers a question of Okuyama--Saito. We measure the gap by an intrinsic-per...

Ryunosuke Nakano · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.