paper

Robust Polynomial Freiman-Ruzsa from Corrupted Set Observations

arXiv:2608.00451

Abstract

We study structural recovery from an exact but adversarially corrupted set observation over . A hidden nonempty set satisfies , while the algorithm receives deterministic membership access and independent exact uniform samples only from a set satisfying . For , we give a randomized FPT-form algorithm which, with high probability, outputs a subspace satisfying and . For every supplied , writing , we also give an observation-only algorithm that outputs subspaces. For every hidden set compatible with , some list entry has size at most that hidden set and covering number . The sample complexity is polynomial, while the direct query and running-time bounds are XP. Every nonempty compatibility class also admits, nonconstructively, one common subspace such that and simultaneously for every compatible hidden set . An exact two-subspace construction forces common covering cost , leaving quantitative and algorithmic list-to-single gaps. We further show that the contamination scale is optimal up to constants for the one-core, size-only lifting mechanism used in the single-output argument. The proofs combine a persistent randomized Balog-Szemerédi-Gowers procedure producing a fixed implicit small-doubling subset on the retained-mass scale, conditionally exact finite product sampling, size-oblivious algorithmic PFR, and deterministic lifting.

Robust Polynomial Freiman-Ruzsa from Corrupted Set Observations · wovepaper