Evidence item

The benchmark covers 26 papers from 2025, split between 13 bioRxiv and 13 Nature papers, with questions integrating main and supplementary materials. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 23614

Source: Reimagining research papers as interactive and reliable AI agents · locator {} · excerpt hash sha256:f9fab8139bf8d2ec07aec60cd3c31022475254643294d7550b49c2c75e0c712b

Exact excerpt

Twenty-six data- and discovery-focused papers (13 bioRxiv and 13 Nature, year 2025) reporting experimental results, datasets or discoveries with accompanying supplementary materials, used to evaluate Paper2Agent’s structured resource layer over manuscript text, supplementary files and metadata. For the 26 data- and discovery-focused papers, we curated 100 synthesis-based questions requiring integration across main text and supplementary materials.

Linked claims

Claim	Direction	Relevance	Steps	Counted
2cd99ce8	QUALIFY	DIRECT	0	yes

Audits

None.