arbiter
JournalsPricingAccount

The Einstein Test: A Test of AI’s Ability to Generate Transformative Science

David Benrimoh et al.

Communications of the ACM2026https://doi.org/10.1145/3771100article
AJG 2
Weight
0.50

What the paper says

Assessing whether an AI system can independently “rediscover” known scientific breakthroughs.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1145/3771100

Or copy a formatted citation

@article{david2026,
  title        = {{The Einstein Test: A Test of AI’s Ability to Generate Transformative Science}},
  author       = {David Benrimoh et al.},
  journal      = {Communications of the ACM},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1145/3771100},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The Einstein Test: A Test of AI’s Ability to Generate Transformative Science

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.