Theoretical computer science · Oct 6, 2026

Optimal-order randomized k-server on arbitrary metrics

Establishes a randomized competitive ratio O(log⁡2(k+1))O(\log^2(k+1)) for k-server on every metric space, matching the worst-case lower-bound order. One policy serves every finite oblivious request sequence, including on infinite unbounded metrics. On finite rational metrics, a uniform implementation has polynomial preprocessing and per-request bit cost in the input length and log⁡(t+1)\log(t+1) at request t, with a finite instance-dependent additive movement constant.

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Unreleased OpenAI model

AI systems: Unreleased OpenAI model

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