跳到正文
研踪PaperTrail
← 研踪 PaperTrail

arXiv:2604.10479 · v2

Expanding Codes with Polynomial Stretch

首次提交 2026-04-12 14:19
版本更新 2026-11-07 10:58
雷达观测 2026-11-10 10:11
arXiv ↗PDF ↗

摘要

We give a polynomial-stretch, constant-arity counterpart to the expanding-code construction of Blasiok, Lou, Rosen, and Sudan (FOCS 2026). For every constant ε∈(0,1/2)\varepsilon\in(0,1/2), we construct binary matrices with nn columns and polynomially many rows, each of weight k=O(ε−6)k=O(\varepsilon^{-6}), such that the union of the supports of any set of at most n1−εn^{1-\varepsilon} rows has size at least (1−ε)k(1-\varepsilon)k times the number of rows. Nevertheless, a polynomial-time test accepts every codeword (generated by the columns of this matrix) corrupted in at most a 1/2−ε1/2-\varepsilon fraction of its coordinates, while rejecting a uniformly random vector with high probability. We give two applications. First, we obtain a family of (nearly lossless) constant locality expanders on which Goldreich's pseudorandom generator with the XOR-MAJ predicate can be distinguished from uniform in polynomial time, well within the small-bias parameter regime and the hard regime for known algebraic-immunity/annihilator attacks and algebraic-degree linearization attacks described by Applebaum and Lovett (STOC 2016, SICOMP 2018). Second, we obtain public key encryption from either the constant-noise kkXOR conjecture over random graphs or the Goldreich conjecture with XOR-MAJ over random graphs, together with a new planted-hypergraph conjecture. We prove low-degree lower bounds for the planting conjecture, providing evidence for subexponential hardness, and give lower bounds against dimension tests based on coordinatewise products (Schur products) of public-code vectors. The PKE schemes and lower bounds were discovered by the authors. The code construction was discovered by Codex / ChatGPT 6 Astra Ultra using harness components from the UCLA Moonshot Harness Project, in response to a general strategy suggested by the authors. See the end of the introduction for a discussion.

作者备注:This work subsumes a previous work by the same authors titled "Public Key Encryption from High-Corruption Constraint Satisfaction Problems.'' The abstract is (slightly) abbreviated to fit arXiv's character limit

AI 论文解读

基于摘要 · 非全文审阅

此版本尚未生成 AI 解读。解读由后台任务生成并按论文版本保存,登录后共享已有结果。

版本差异

本站首次收录为 v2,暂无更早版本可对照。

观测到的版本

相邻记录可能跳过中间版本;首次发现 v2 及以上也会标为版本更新。

v2 · 2026-11-07 10:58 · 最新观测版本

Expanding Codes with Polynomial Stretch

We give a polynomial-stretch, constant-arity counterpart to the expanding-code construction of Blasiok, Lou, Rosen, and Sudan (FOCS 2026). For every constant ε∈(0,1/2)\varepsilon\in(0,1/2), we construct binary matrices with nn columns and polynomially many rows, each of weight k=O(ε−6)k=O(\varepsilon^{-6}), such that the union of the supports of any set of at most n1−εn^{1-\varepsilon} rows has size at least (1−ε)k(1-\varepsilon)k times the number of rows. Nevertheless, a polynomial-time test accepts every codeword (generated by the columns of this matrix) corrupted in at most a 1/2−ε1/2-\varepsilon fraction of its coordinates, while rejecting a uniformly random vector with high probability. We give two applications. First, we obtain a family of (nearly lossless) constant locality expanders on which Goldreich's pseudorandom generator with the XOR-MAJ predicate can be distinguished from uniform in polynomial time, well within the small-bias parameter regime and the hard regime for known algebraic-immunity/annihilator attacks and algebraic-degree linearization attacks described by Applebaum and Lovett (STOC 2016, SICOMP 2018). Second, we obtain public key encryption from either the constant-noise kkXOR conjecture over random graphs or the Goldreich conjecture with XOR-MAJ over random graphs, together with a new planted-hypergraph conjecture. We prove low-degree lower bounds for the planting conjecture, providing evidence for subexponential hardness, and give lower bounds against dimension tests based on coordinatewise products (Schur products) of public-code vectors. The PKE schemes and lower bounds were discovered by the authors. The code construction was discovered by Codex / ChatGPT 6 Astra Ultra using harness components from the UCLA Moonshot Harness Project, in response to a general strategy suggested by the authors. See the end of the introduction for a discussion.

查看此版本解读 →查看此版本原文 ↗