Feasibility of partial alignment in the Erdős–Rényi model above the threshold

Let pp be the number of graphs, let π\boldsymbol{\boldsymbol{\pi}}^* be the underlying permutation tuple, and let ov(π^,π)ov(\hat{\boldsymbol{\pi}},\boldsymbol{\pi}^*) denote their overlap. In the Erdős–Rényi model, with parameters λ\lambda and ss, assume

λs(1(1s)p1)>1.\lambda s\bigl(1-(1-s)^{p-1}\bigr)>1.

Feasibility conjecture. Partial alignment is feasible: there exists an estimator π^\hat{\boldsymbol{\pi}} and some ε>0\varepsilon>0 such that, with high probability,

ov(π^,π)>ε.ov(\hat{\boldsymbol{\pi}},\boldsymbol{\pi}^*)>\varepsilon.

This statement complements the preceding theorem asserting intractability below the threshold λs(1(1s)p1)<1\lambda s(1-(1-s)^{p-1})<1. The source presents the above-threshold claim without a proof or an explicit resolution, so its status remains open.

Sources & referencesView supporting material

Primary source

Louis Vassaux and Laurent Massoulié, “The feasibility of multi-graph alignment: a Bayesian approach”, arXiv:2502.17142 (2026).

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