collaborators

6 papers

math.CO2026

Edge-addition monotonicity of positive p-energy fails for every p >= 1

Koyar Afrasyab

At a 2021 AIM workshop, Guo conjectured that the positive square energy s+ = E+_2 should inherit the familiar edge-addition monotonicity of the spectral radius, rho(G + uv) >= rho(…

math.CO2026

A 50-Vertex Cubic Counterexample to the Domination-versus-Edge-Domination Conjecture

Koyar Afrasyab

Baste, Furst, Henning, Mohr, and Rautenbach conjectured that every finite regular graph of positive degree satisfies \(γ(G) \leq γ_e(G)\), where \(γ\) is the domination number and…

cs.DS2026

Independence-System Realisations in Single-Source Unsplittable Flow

Koyar Afrasyab

Additive-congestion constraints in single-source unsplittable flow can enforce stable-set structure. This note isolates and generalises that mechanism. We introduce a path-closed n…

math.CO2026

Exact Zarankiewicz Values On Two Finite Frontier Slices

Koyar Afrasyab

The Zarankiewicz number Z(m,n,s,t) is the maximum number of edges in a bipartite graph with parts of orders m and n containing no copy of Ks,t. We give one combined, certificate-ba…

cs.AI2026

Evaluating medical AI under missing information: same-provider judges and human raters change apparent safety

Koyar Afrasyab

Readiness stress-testing of medical AI has focused on closed-ended and multimodal benchmarks. We extend it to open-ended clinical conversation under missing information, where safe…

cs.AI2026

Judge-dependent safety gains and model-specific helpfulness costs of evidence-sufficiency prompting in clinical LLMs

Koyar Afrasyab

Background: LLM judges increasingly score whether clinical language models give overconfident answers under incomplete evidence, yet whether a measured "safety gain" reflects real…