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Fully Dynamic Min-Cut of Superconstant Size in Subpolynomial Time

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arxiv 2401.09700 v1 pith:ISVIUJQY submitted 2024-01-18 cs.DS

classification cs.DS
keywords graphtimeupdatealgorithmdynamicfullysizesubpolynomial
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abstract

We present a deterministic fully dynamic algorithm with subpolynomial worst-case time per graph update such that after processing each update of the graph, the algorithm outputs a minimum cut of the graph if the graph has a cut of size at most $c$ for some $c = (\log n)^{o(1)}$. Previously, the best update time was $\widetilde O(\sqrt{n})$ for any $c > 2$ and $c = O(\log n)$ [Thorup, Combinatorica'07].

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  1. TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability

    cs.CL 2026-08 reject novelty 7.0 of 10

    The paper introduces TCS-Bench, a 300-task proof-generation benchmark from top TCS papers, and reports frontier LLM accuracies from 30% to 68% using an automated verifier.

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