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Koyar Afrasyab

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#artificial intelligence Preprint Jul 2026

Independence-System Realisations in Single-Source Unsplittable Flow

The main result extends the triangle mechanism: every finite loopless independence system has a polynomial-size realisation, measured in the incidence size of its minimal forbidden sets, and more generally every hypergraph independence system without singleton forbidden hyperedges, is representable by an acyclic single...

Koyar Afrasyab · 0 citations
#artificial intelligence Preprint Sep 2026

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

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(G). That conjecture was subsequently shown to fail at p = 2. Tang, Liu, and Wang then introduced positive p-energy, proved nonmonotonicity fo...

Koyar Afrasyab · 0 citations
Jul 2026

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

Readiness stress-testing of medical AI is extended to open-ended clinical conversation under missing information, where safe behavior means recognizing absent information and qualifying, clarifying, or not over-committing - and where the evaluator becomes part of the measurement.

Koyar Afrasyab · 0 citations

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