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Graph Minors

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

citation-role summary

background 1

citation-polarity summary

years

2026 3 2023 1

verdicts

UNVERDICTED 4

roles

background 1

polarities

unclear 1

representative citing papers

Obstructions for Minor-Closed Classes of limiting Densities Below 3/2

math.CO · 2026-06-23 · unverdicted · novelty 8.0

For every δ < 3/2 the ⊆-minimal minor-closed classes with density >δ form a finite explicitly identified set, yielding a 2^poly(n)-time algorithm that computes δ(excl(Z)) or reports ≥3/2 for any finite forbidden-minor set Z.

An Overview of Universal Obstructions for Graph Parameters

cs.DM · 2023-04-27 · unverdicted · novelty 3.0

The paper overviews universal obstructions as a unifying framework for graph parameters, surveys existing results across many parameters, and offers some unifying classification results.

citing papers explorer

Showing 4 of 4 citing papers.

  • Obstructions for Minor-Closed Classes of limiting Densities Below 3/2 math.CO · 2026-06-23 · unverdicted · none · ref 25

    For every δ < 3/2 the ⊆-minimal minor-closed classes with density >δ form a finite explicitly identified set, yielding a 2^poly(n)-time algorithm that computes δ(excl(Z)) or reports ≥3/2 for any finite forbidden-minor set Z.

  • Tree-independence number of $K_{1,d}$-free graph classes math.CO · 2026-06-18 · unverdicted · none · ref 23

    Proves the Dallard et al. conjecture holds for outerstring graphs and sharpens bounds on tree-independence number for multiple K_{1,d}-free classes.

  • An MSO Framework for Weak-Memory Verification and Robustness cs.LO · 2026-06-18 · unverdicted · none · ref 27

    The paper establishes treewidth bounds and MSO-axiomatizability results for weak memory models, introduces reads-from robustness, and derives algorithmic implications for verification.

  • An Overview of Universal Obstructions for Graph Parameters cs.DM · 2023-04-27 · unverdicted · none · ref 114

    The paper overviews universal obstructions as a unifying framework for graph parameters, surveys existing results across many parameters, and offers some unifying classification results.