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SciSlopBench

Science or Slop?: Benchmarking and Mitigating Scientific Slop in AI-Generated Papers

SciSlopBench paper link SciSlopBench is a paired benchmark for scientific slop: failures of global scientific reasoning in AI-generated research papers that token-level AI detectors do not see.

How to run

ltb · scislopbench
$ npm i -g lettokenburn-cli
$ ltb bench info scislopbench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

6 sourced entries
HarnessSourceConfidenceLink
SciSlop85.4N/AIndependentmediumSep 30, 2026arxiv.org
CycleReviewer68.9N/AIndependentmediumSep 30, 2026arxiv.org
Binoculars68.3N/AIndependentmediumSep 30, 2026arxiv.org
DetectGPT62.3N/AIndependentmediumSep 30, 2026arxiv.org
AI Scientist61.3N/AIndependentmediumSep 30, 2026arxiv.org
NTS60.7N/AIndependentmediumSep 30, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

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About

SciSlopBench

paper link

SciSlopBench is a paired benchmark for scientific slop: failures of global scientific reasoning in AI-generated research papers that token-level AI detectors do not see. It holds 390 pairs. Each pair is one AI-generated paper and one human-written, peer-accepted paper (its anchor) of the same contribution type on the same or a neighboring research problem. The AI papers come from two sources, and the same pairing rule is applied to both:…