arXiv: cs.AI preprintsInternational6 November 2026
LeanContext: Disentangling Mathematical Resources from Local Formal Context in Lean Whole-Proof Generation
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arXiv:2611.08277v1 Announce Type: new Abstract: Neural theorem proving increasingly uses retrieved premises and project context to support proof generation. Evaluating these resources requires measuring the advantage of target-selected declarations over comparable alternatives and how this advantage depends on training. We introduce LeanContext, a benchmark of 129,826 Lean whole-proof generation problems, to investigate these questions. We group selected complete preceding mathematical declarations as Mathematical Context (MC) and the remaining selected local source commands as Environment Con
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