mlsanityData to 7 Oct 2026

frb100-40 After Two Decades: An Optimality Certificate and a Preregistered Search Study

arXiv 2609.02804 ↗First posted 2 Sep 2026cs.DM cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

For more than 20 years, the Model-RB benchmark frb100-40 remained an open challenge; since 2014, its public record had stood at 99 of 100 variables. We give a directly checkable 100-vertex independent set for its 4,000-vertex graph. Together with a verified partition into 100 cliques of size 40, the witness proves that the maximum independent-set size is 100 and the minimum vertex-cover size is 3,900. The stochastic run that found the witness is kept separate from this proof. We evaluated its added pair and triple repair operators in a preregistered campaign comprising 8,668 valid runs. The primary comparison found no detectable acceleration over base ULSA (hazard ratio 0.967, 95% confidence interval 0.915-1.023; p=0.248), and the factorial ablation reached the same conclusion. On a smaller FRB suite, the group-aware CSP pipeline solved 2,500/2,500 runs, compared with 2,391/2,500 for LibMVC-NuMVC. On frb100-40, full ULSA, base ULSA, and NuMVC each produced 0/56 new certificates. With no events, the planned cross-solver hazard ratios remain unidentified. NuMVC ended with cover size 3,902 in 40 runs and 3,903 in 16. Exhaustive enumeration showed that none of the 108 unique recorded conflict-two states had a strictly improving group-aware CSP neighbor within Hamming radius three. The certificate settles the instance. The experiments characterize the search barrier, and the preregistered comparisons show no heuristic advantage.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 23 references that are in the map. First posted on arXiv 2 Sep 2026.

Builds on

6 of 23 references.

References · 6

  1. 2020Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)cited by 318
  2. 2015Finding Near-Optimal Independent Sets at Scalecited by 32
  3. 2013Exact Algorithms for Maximum Independent Setcited by 10
  4. 2014Branch-and-Reduce Exponential/FPT Algorithms in Practice: A Case Study of Vertex Covercited by 8
  5. 2014NuMVC: An Efficient Local Search Algorithm for Minimum Vertex Covercited by 4
  6. 2014Unweighted Stochastic Local Search can be Effective for Random CSP Benchmarkscited by 1

Built on by

Not cited yet.