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Pantograph provides interfaces to execute proofs, construct expressions, and Pantograph provides interfaces to execute proofs, construct expressions, and
examine the symbol list of a Lean project for machine learning. examine the symbol list of a Lean project for machine learning.
See [documentations][doc/] for design rationale and references.
## Installation ## Installation
For Nix users, run For Nix users, run

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# Design Rationale
A great problem in machine learning is to use ML agents to automatically prove
mathematical theorems. This sort of proof necessarily involves *search*.
Compatibility for search is the main reason for creating Pantograph. The Lean 4
LSP interface is not conducive to search. Pantograph is designed with this in
mind. It emphasizes the difference between 3 views of a proof:
- **Presentation View**: The view of a written, polished proof. e.g. Mathlib and
math papers are almost always written in this form.
- **Search View**: The view of a proof exploration trajectory. This is not
explicitly supported by Lean LSP.
- **Kernel View**: The proof viewed as a set of metavariables.
Pantograph enables proof agents to operate on the search view.
## Name
The name Pantograph is a pun. It means two things
- A pantograph is an instrument for copying down writing. As an agent explores
the vast proof search space, Pantograph records the current state to ensure
the proof is sound.
- A pantograph is also an equipment for an electric train. It supplies power to
a locomotive. In comparison the (relatively) simple Pantograph software powers
theorem proving projects.
## References
* [Pantograph Paper](https://arxiv.org/abs/2410.16429)