activity
20222026
most citedQuantum Modular -Invariants

3 citations · 5 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

math.GT2026

Quantum Invariants indexed by Fibered Faces of the Thurston Polytope

Davide Passaro, Lara San Martín Suárez

We study the Gukov--Manolescu quantum invariant for oriented links. While this invariant is a single series in the knot case, we find that links admit multiple such series, each on…

math.CO2026

New Records for the Hadamard Maximal Determinant Problem

Giorgi Butbaia, Pragatheeswaran Vipulanandan, Justin Tan +6

The Hadamard maximal determinant problem seeks an matrix with entries in , which maximizes the determinant for a given order $n \in…

cs.DM2026

New Snake-in-the-Box Records via Snakepit Surgery and Learned Construction

Paul Orland, Lucas Fagan, Michele Tarquini +7

The snake-in-the-box problem asks for a longest induced path in the hypercube graph . We find a length-191 snake in dimension , the lowest dimension where the maximum is…

math.GT2026

fkcompute: an efficient invariant calculator

Paul Orland, Davide Passaro, Lara San Martín Suárez +2

We introduce fkcompute, an open-source package for computing the Gukov--Manolescu invariant of links from a braid presentation. fkcompute implements Park's inverted state sum throu…

cs.LG2026

Hierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra

Giorgi Butbaia, Paul Orland, Coco Huang +7

Applying machine learning techniques to solving long-standing mathematical conjectures can be particularly challenging due to their extreme reward sparsity. As an illustrative exam…

cs.LG2026

The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning

Lucas Fagan, Michele Tarquini, Ali Shehper +6

Mathematical search problems present a unique challenge for Reinforcement Learning (RL) due to vast search spaces and sparse rewards. In previous works, the Andrews-Curtis (AC) con…