Polynomial-time hardness conjecture for balanced independent sets in dense random bipartite graphs

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Let Gbip(n,p)G_{\mathrm{bip}}(n,p) be the random bipartite graph in the online model considered in the source, let γ\gamma be the balance parameter, and let αCOMP\alpha_{\rm COMP} denote the computational threshold defined earlier in the paper. Polynomial-time hardness conjecture. For any ϵ>0\epsilon>0 and p=Θ(1)p=\Theta(1), no polynomial-time algorithm finds a γ\gamma-balanced independent set of size (1+ϵ)αCOMP(1+\epsilon)\alpha_{\rm COMP} in Gbip(n,p)G_{\mathrm{bip}}(n,p) whp. This conjecture concerns the computational gap for online balanced independent sets in dense random bipartite graphs; the paper's results provide rigorous evidence for the claimed threshold, while the conjecture itself remains open.

References

Primary source

Abhishek Dhawan, Eren C. Kızıldağ and Neeladri Maitra, “Sharp Online Hardness for Large Balanced Independent Sets”, arXiv:2508.20785 (2025).

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