This articles is a structured bibliography on theorem provers, approaches to theorem proving, and theorem proving applications inspired from Satchmo, the model generation theorem prover developed in the mid 80es of the 20th century at ECRC, the European ComputerIndustry Research Centre. Note that the bibliography given in this article is not exhaustive.

Applying machine learning to mathematical terms and formulas requires a suitable representation of that is adequate for AI methods. In this paper, we develop an encoding allows logical properties be preserved additionally reversible. This means the tree shape formula including all symbols can reconstructed from dense vector representation. We do by training two decoders: one extracts top symbol...