most citedExtending JumpProcess.jl for fast point process simulation with time-varying intensities

2 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

math.NT2026

Ternary polynomial relations and periods of cusp forms

Vasily Ilin, Ken Ono

Bachmann and van Ittersum conjectured that every polynomial satisfying is a sum of polynom…

cs.AI2026

Lean Pool: An AI-Maintained Archive of Formalized Mathematics

Vasily Ilin

Lean Pool is a repository of formalized mathematics. It is grown, maintained and optimized by AI agents.

cs.CL2026

Does My Embedding Reflect That ? Evaluating Mathematical Equivalence in Embedding Models

Jiaying Ye, Samarth Rao, Leo Carlin +9

Because mathematics is highly abstract, a single statement can take very different forms depending on what subfield it is framed in. There are many examples where breakthroughs occ…

cs.IR2026

TheoremGraph: Bridging Formal and Informal Mathematics

Simon Kurgan, Evan Wang, Eric Leonen +6

Mathematical knowledge is organized around statements and their dependencies, but this structure is exposed unevenly: informal papers cite mostly at the document level, while forma…

cs.AI2026

Formalizing Numerical Analysis: An Agent Pipeline and Quality Audit Beyond Kernel Acceptance

Theodore Meek, Siyuan Ge, Di Qiu Xiang +2

Recent work has demonstrated that coding agents can formalize entire advanced mathematics textbooks in Lean 4, yet existing efforts concentrate on branches of mathematics already w…

cs.AI2026

Sorries Are Not the Hard Part: An Expert-Review Case Study of a Semi-Autonomous Formalization

Vasily Ilin, Brian Nugent

Large language models can often close proof gaps in interactive theorem provers, but a verified theorem is not the same thing as a reusable library contribution. We study this dist…

hep-th2026

CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks

A. Chervov, F. Levkovich-Maslyuk, A. Smolensky +41

This is the fourth paper in the CayleyPy project, which applies AI methods to the exploration of large graphs. In this work, we suggest the existence of a new discrete version of h…

cs.LG2026

Learning to Repair Lean Proofs from Compiler Feedback

Evan Wang, Simon Chess, Daniel Lee +4

As neural theorem provers become increasingly agentic, the ability to interpret and act on compiler feedback is critical. However, existing Lean datasets consist almost exclusively…

cs.IR2026

Semantic Search over 9 Million Mathematical Theorems

Luke Alexander, Eric Leonen, Sophie Szeto +5

Searching for mathematical results remains difficult: most existing tools retrieve entire papers, while mathematicians and theorem-proving agents often seek a specific theorem, lem…

stat.CO2023★ 2 cited

Extending JumpProcess.jl for fast point process simulation with time-varying intensities

Guilherme Augusto Zagatti, Samuel A. Isaacson, Christopher Rackauckas +3

Point processes model the occurrence of a countable number of random points over some support. They can model diverse phenomena, such as chemical reactions, stock market transactio…