Primary evidence
- Proof Artifact Co-training for Theorem Proving with Language ModelsS1 · Primary research · Paper · 2021-02-11
- PACT LeanStep proof-artifact extraction codeS1 · Primary research · Repository
The method extracts self-supervised objectives from kernel-level proof terms and trains them alongside tactic prediction.
PACT co-trained a Transformer theorem prover on Lean proof artifacts and improved held-out theorem-proving success from 32% to 48%.
It helped establish that formal libraries contain much more learnable signal than only the next tactic labels exposed at the surface.
Significance rationale: PACT established proof-term-derived self-supervision as a practical way to alleviate data scarcity in neural theorem proving.
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