AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

AskChem reframes chemistry literature search around provenance-carrying atomic claims rather than ranked papers. Each claim is typed and linked to a source DOI plus a verbatim quote or explicit evidence locator. The system combines a stabilized faceted taxonomy, an evidence graph, and an exploratory living taxonomy for cross-paper retrieval and synthesis. It currently indexes 2.4 million claims from 147,000 papers and offers web, REST, SDK, and MCP interfaces. On AskChem-Bench, the authors report that grounding a GPT-5.5 reader with AskChem produced 100% resolvable DOIs, versus 88.3% without retrieval, and the highest citation density among five tested systems.