XL-DocBench is a human-verified benchmark for evidence-grounded understanding of extra-long professional documents. It contains 1,519 retained questions across six domains, with contexts reaching 2,303 pages. Multiple evidence pages are needed in 1,103 cases, or 72.6% of the set; 556 questions, or 36.6%, involve tables, charts, or figures; and 165, or 10.9%, require evidence from multiple documents. Each item includes a reasoning label, expert-annotated evidence pages, a typed verification rule, and an answer format, including 218 None-answer cases. The abstract reports that current systems remain weak on these tasks.
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