History of Interactive Theorem Proving

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Generative Language Modeling for Automated Theorem Proving (2020, background): “Deep learning applied to premise selection and proof guidance Research on automated theorem proving dates back to the 50s [24], but mainstream proof assistants still suffer from combinatorial explosion of their search space as they are scaled to large corpuses, motivating the use of deep learning.”
DeepMath - Deep Sequence Models for Premise Selection (2016, methodology): “The ITP field dates back to 1960s [16] and the Automath system by N.”
Learning to Prove Theorems via Interacting with Proof Assistants (2019, background): “In ITP, human users deﬁne mathematical objects formally and prove theorems semi-automatically by entering a sequence of commands called tactics.”
Premise Selection for Theorem Proving by Deep Graph Embedding (2017, background): “Research on automated theorem proving has a long history [11].”
Mathematical Capabilities of ChatGPT (2023, background): “Presently, there is a realization that classical approaches, using a symbolic encoding of mathematics, have reached a plateau [15].”
Deep Network Guided Proof Search (2017, background): “In the past twenty years, various large corpora of computer-understandable reasoning knowledge have been developed (Harrison et al., 2014).”