SciConBench tests whether AI agents can synthesize scientific conclusions

A new arXiv paper introduces SciConBench, a live benchmark for testing whether AI agents can synthesize scientific conclusions from retrieved evidence.

The benchmark uses thousands of questions and expert-written conclusions from systematic reviews, then scores factual precision and recall through decomposed atomic claims. That makes it more demanding than checking whether a model can retrieve a relevant paragraph.

The larger point is practical: scientific agents will need evidence synthesis that is both comprehensive and correct before they can be trusted in high-stakes research workflows.