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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generating Correctness Proofs with Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1907.07794/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1907.07794/feed.xml" rel="self" type="application/rss+xml" /><item><title>Generating Correctness Proofs with Neural Networks — mentioned by aSanchezStern</title><link>https://news.ycombinator.com/item?id=38042406</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.07794:38042406</guid><pubDate>Fri, 27 Oct 2023 18:52:58 GMT</pubDate><description>&lt;p&gt;Sounds like you&amp;#x27;ve stumbled into the wonderful world of machine-learning guided proof synthesis! While I don&amp;#x27;t think the full system you&amp;#x27;re describing has been built yet, many similar systems and pieces have. In terms of the initial phase of supervised learning on existing proofs to prove new ones, there&amp;#x27;s TacticToe (https://arxiv.org/abs/1804.00596), Tactician (https://arxiv.org/pdf/2008.00120.pdf), CoqGym/ASTactic (https://arxiv.org/abs/1905.09381), Proverbot9001 (https://arxiv.org/abs/1907.07794), and Diva (https://dl.acm.org/doi/10.1145/3510003.3510138#sec-terms), among others. Most of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.07794/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Generating Correctness Proofs with Neural Networks — mentioned by xvilka</title><link>https://news.ycombinator.com/item?id=21411322</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.07794:21411322</guid><pubDate>Thu, 31 Oct 2019 17:26:12 GMT</pubDate><description>&lt;p&gt;Yes, it&amp;#x27;s already possible[1] with Coq. There are two strategies for that - lowering the CIC (Calculus of Inductive Constructions) to SMT[2] and employ SMT solvers like Z3, and employing Deep Learning[3][4]. For the Lean part, compared to Coq - there is an interesting discussion[5] why Lean might be not as good as they claim. [1] https://coq.discourse.group/t/machine-learning-and-hammers-f... [2] https://github.com/lukaszcz/coqhammer [3] https://arxiv.org/abs/1907.07794 [4] https://github.com/UCSD-PL/proverbot9001 [5] https://github.com/coq/coq/issues/10871&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.07794/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Generating Correctness Proofs with Neural Networks — mentioned by nickpsecurity</title><link>https://news.ycombinator.com/item?id=20788765</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.07794:20788765</guid><pubDate>Sat, 24 Aug 2019 18:20:42 GMT</pubDate><description>&lt;p&gt;Two more: https://arxiv.org/abs/1907.07794 https://arxiv.org/pdf/1904.03241.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.07794/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Generating Correctness Proofs with Neural Networks — HN submission</title><link>https://news.ycombinator.com/item?id=20479398</link><guid isPermaLink="false">urn:hackerpapers:submission:1907.07794:20479398</guid><pubDate>Fri, 19 Jul 2019 15:28:28 GMT</pubDate><description>&lt;p&gt;Generating Correctness Proofs with Neural Networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1907.07794/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item></channel></rss>
