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Deciding which sub-tool to use for a given proof state requires expertise specific to each ITP.
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Ramana Kumar and Magnus O. Myreen and Michael Norrish and Scott Owens, CakeML: a verified implementation of ML, The 41st Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, POPL ’14, San Diego, CA, USA, January 20-21, 2014, pp. 179-192
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Lawrence C. Paulson, A mechanised proof of gödel’s incompleteness theorems using Nominal Isabelle, J. Autom. Reasoning, vol. 55-1, pp. 1-37, 2015, https://doi.org/10.1007/s10817-015-9322-8
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https://github.com/data61/PSL/releases/tag/v0.1.1 To use PaMpeR
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Jasmin Christian Blanchette and David Greenaway and Cezary Kaliszyk and Daniel Kühlwein and Josef Urban, A learning-based fact selector for Isabelle/HOL, J. Autom. Reasoning, vol. 57-3, pp. 219-244 2016
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Yutaka Nagashima and Ramana Kumar, A proof strategy language and proof script generation for Isabelle/HOL, Automated Deduction - CADE 26 - 26th International Conference on Automated Deduction, Gothenburg, Sweden, August 6-11, 2017, Proceedings, pp. 528–545
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Sarah M. Loos and Geoffrey Irving and Christian Szegedy and Cezary Kaliszyk, Deep network guided proof search, LPAR-21, 21st International Conference on Logic for Programming, Artificial Intelligence and Reasoning, Maun, Botswana, May 7-12, 2017, pp. 85-105, http://www.easychair.org/publications/paper/340345
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Thibault Gauthier and Cezary Kaliszyk and Josef Urban, TacticToe: learning to reason with HOL4 tactics, LPAR-21, 21st International Conference on Logic for Programming, Artificial Intelligence and Reasoning, Maun, Botswana, May 7-12, 2017, pp. 125-143
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