What was already known
A factor-2 edge-arrival algorithm was known. Earlier lower bounds in other arrival models did not settle this edge-arrival problem.
AI involvement
Tang and Zhang suggested the blueprint framework; GPT-5.6 Sol formulated the decisive reduction. The authors independently checked and explained it.
GPT-5.6 Sol supplied the decisive reduction after Tang and Zhang suggested the blueprint framework.
Importance
Closes the gap between the known upper bound and the edge-arrival lower bound.
Limitations
The randomized claim is against an oblivious adversary. A previously cited 1.753 lower bound concerns general vertex arrivals, a different model.
Technical verification
Tang and Zhang expressly report independently checking the complete reduction and proof.
Independent checking
Independent author verification of the reduction and proof
- Checker
- Zhihao Gavin Tang and Yuhao Zhang, paper authors
- Scope
- The blueprint reduction and proof of the 2−ε edge-arrival lower bound
- Basis
- Reported by the linked checker
Human understanding
Tang and Zhang give and defend a detailed explanation of the reduction.
Correction and publication history
The reduction proves a tight lower bound in the edge-arrival model.
Read this published revision