What was already known
Gupta, Kumar and Panigrahi obtained an randomized competitive ratio. Classical weighted paging without delay has a tight ratio; the new result removes the extra dependence on the total number of pages.
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AI involvement
The authors supplied proofs for two special cases and a potential-based analysis. Their disclosure credits Claude Opus 5.5 with extending these results to general weights and delays, including explicit weight classes and preemptive-service budgets. The authors directed the work, independently checked the proofs and wrote the paper.
Importance
The algorithm closes the randomized competitive-ratio gap for the stated clairvoyant delay model. It combines mirror descent with budgets for serving other pending requests, extending the human authors’ deadline special cases to general weights and delays.
Technical verification
Formal checking
Born, Disser and Thelen report independently checking all proofs and the Lean model. The pinned artifact reports Lean 4 checking of the competitive theorem; it assumes the published Bansal–Buchbinder–Naor online-rounding theorem. Its fractional analysis does not use that extra axiom. These are source-reported human and machine checks.
- Checker
- Lean 4 kernel; Born, Disser and Thelen
- Scope
- Main competitive theorem conditional on published online rounding; full author proof review separately reported
- Basis
- Reported by the linked checker
Correction and publication history
Remove the repeated checking explanation and give the exact reported competitive bound in its evidence record. Claim, ratings, methods and sources are unchanged; no additional research notification.
Read this published revisionNewly resolved positive AI-origin lead: exact general-weight and delay extension, with independent author proof checks and a scoped formal theorem.
Read this published revision