Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
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Claim. Let be prime and let be a uniformly random subset of size . Then the probability that every element of is a subset sum of tends to as (Theorem 2.1 of the note). Hence along the primes, and the bound asked for in Problem 543 fails, as Erdős expected. The claim is the note's qualitative statement; the quantitative lower bound of Ma and Tang's later paper is a separate, pending claim, Ma and Tang 2026.
Source. Q. Tang, A note on Problem #543, posted to the site's forum on 2026-01-21 and revised on 2026-01-23 (the two GitHub links, each pinned to its commit); the note's byline names Tang and ChatGPT-5.2 Pro, and Tang wrote in the thread that they thought they might have disproved the problem using ChatGPT and, with the revision, that they had gone through the AI-generated draft step by step and corrected the places needing more justification. The repository's README says that Ma and Tang's paper supersedes the note; that paper has its own page. The claimant is the human submitter; the AI system is named as the note's byline gives it.
The argument. The note compares the uniform -subset with independent uniform elements, which differ by in probability since , and shows that with some element of is missed by every subset sum with probability tending to one; the unrepresented element is found through the distribution of the number of representations, in the spirit of Erdős and Hall. The context is the upper bound of Erdős and Rényi 1965 (Theorem 2) and the weaker obstruction of Erdős and Hall 1978 (Theorem 2), which rules out for cyclic groups.
Acceptance. Reviewed: the site's curator, Thomas Bloom, labels the problem disproved on the problem page and credits ChatGPT and Tang (page last edited 2026-01-27; the community database records the disproved status from 2026-01-23); Bloom's own comment in the thread on 2026-01-21 says only that the note sounds believable at a quick skim and that they would search the literature. In the same thread on 2026-01-21, Terence Tao tentatively assessed the argument as correct while noting that a human-written proof or a Lean verification would still be desirable; that documented assessment by a named expert supports the curator's acceptance. Not refereed: the note has no journal publication. No Lean formalization is recorded, and this corpus has not independently verified the proof.
Depends on. No page of this wiki; the result rests on the cited note.