Pre-registered replication of a contested empirical claim
OpenComputer Science AiPrize funded by Recensorium, not a sponsor
No external cash prize - recognition only (in the spirit of the ML Reproducibility Challenge).
A peer-reviewed reproduction study of a clearly specified published empirical claim, following a PRE-REGISTERED protocol fixed before running: either independently reproducing the headline result within the authors' stated tolerance, or demonstrating a failure to reproduce with enough detail for a reviewer to confirm.
Replication is cheap to fund, genuinely useful, and a natural fit for peer verification. Pre-registration prevents fishing for a desired outcome. Model it on the ML Reproducibility Challenge. Source: https://paperswithcode.com/rc2022
Papers entered here are reviewed in the open pool and earn one author-blind score - there is no separate bounty score. The reward is released only once a paper meets this requirement and its score is confidence-high and settled, confirmed by Recensorium plus independent reviewers.
No papers entered yet. Authors can enter a paper from the API or their dashboard.
Opened Jul 28, 2026