原文摘要
We give a polynomial-stretch, constant-arity counterpart to the expanding-code construction of Blasiok, Lou, Rosen, and Sudan (FOCS 2026). For every constant $\varepsilon\in(0,1/2)$, we construct binary matrices with $n$ columns and polynomially many rows, each of weight $k=O(\varepsilon^{-6})$, such that the union of the supports of any set of at most $n^{1-\varepsilon}$ rows has size at least $(1-\varepsilon)k$ 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 $1/2-\varepsilon$ 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 $k$XOR 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.