Ground Truth.
AI, checked against the source.

← All topics

research-integrity

Everything on Ground Truth tagged “research-integrity” — 9 items.

The Clay Institute says Navier-Stokes has 'apparently been settled', but names no solver and starts no prize clock News

The Clay Mathematics Institute said on 11 September 2026 that the Navier-Stokes Millennium Prize problem 'has apparently been settled', without naming OpenAI or anyone else, and its own rules mean no prize can be awarded until a solution is published in a qualifying outlet and survives at least two years of scrutiny.

Twenty-five Fields Medallists say AI companies and mathematics are 'severely misaligned' News

Twenty-five Fields Medal winners, including Terence Tao and Peter Scholze, signed a declaration on 11 September 2026 saying the AI industry's race to solve famous problems is harming mathematics, a day after OpenAI withdrew its sponsorship of a Caltech AI math hackathon following a separate open letter from mathematicians.

Buckmaster says OpenAI asked him to drop his Anthropic coauthor News

NYU mathematician Tristan Buckmaster published a signed account alleging OpenAI pressed him to remove his collaborator from authorship and told him going public would ruin his career; OpenAI's Sebastien Bubeck called the allegations false and inflammatory.

You can move an AI reviewer's score without changing a single result News

A new study rewrote research papers to change only their rhetoric while preserving every scientific claim, and found AI reviewers shifted their overall scores by up to nine tenths of a point, with the effect strongest near the accept-reject boundary.

The viral Riemann result an AI supposedly proved is not in the literature News

A widely shared claim that Claude raised the proven fraction of Riemann zeta zeros on the critical line from 41.6 to 67.2 percent does not match any published result; the closest paper says the two-thirds figure follows only if an assumption nobody has removed can be removed.

NeurIPS papers average six objective mistakes each, up from four News

A study of 2,500 machine learning papers using an automated checker found that the average number of objective mistakes in a NeurIPS paper rose from 3.8 in 2021 to 5.9 in 2025, a 55 percent increase over four years.

An AI replicated 105 ICML orals, and 34 mostly held up News

The research auditing group SAI reviewed all 168 oral papers from ICML 2026, ran full execution-grounded reproductions of 105 of them, and found that only 34 reproduced more than 40 percent of the claims it attempted to check.

An RL Trainer That Invents Its Reward When the Judge Says Nothing News

The published code for SpyRL, a reinforcement learning method built on the promise of fully verifiable rewards, silently substitutes randomly generated votes with a hard-coded 60 percent accuracy rate whenever no judge outputs are present.

ICML caught AI-written peer reviews by hiding secret phrases in submitted papers News

ICML 2026 embedded invisible instructions in submitted PDFs that trick a review-writing LLM into inserting rare marker phrases, flagging about 1% of reviews as machine-generated and desk-rejecting 497 papers whose authors broke a no-LLM pledge.