Complete first-order reasoning for functional programs
Pith reviewed 2026-05-25 05:06 UTC · model grok-4.3
The pith
Unrolling recursive function definitions plus quantifier-free SMT reasoning is complete for first-order theories of algebraic datatypes combined with suitable background theories.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The technique of unrolling recursive function definitions followed by quantifier-free reasoning is complete for validity in the combined first-order theory of algebraic datatypes and any background theory that supports decidable quantifier-free reasoning.
What carries the argument
The unrolling procedure that reduces first-order validity over datatypes to a sequence of quantifier-free checks in the background theory.
Load-bearing premise
Background theories support decidable quantifier-free reasoning.
What would settle it
A formula that is valid in the combined theory but cannot be established by any finite number of unrollings followed by a quantifier-free check.
Figures
read the original abstract
Several practical tools for automatically verifying functional programs (e.g., Liquid Haskell and Leon for Scala programs) rely on a heuristic based on unrolling recursive function definitions followed by quantifier-free reasoning using SMT solvers. We uncover foundational theoretical properties of this heuristic, revealing that it can be generalized and formalized as a technique that is in fact complete for reasoning with combined First-Order theories of algebraic datatypes and background theories, where background theories support decidable quantifier-free reasoning. The theory developed in this paper explains the efficacy of these heuristics when they succeed, explains why they fail when they fail, and the precise role that user help plays in making proofs succeed.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper claims that the unrolling heuristic employed by tools such as Liquid Haskell and Leon can be generalized and formalized into a complete procedure for deciding validity in the combined first-order theory of algebraic datatypes together with background theories that admit decidable quantifier-free reasoning; the development explains the heuristic's successes, its failures, and the precise contribution of user-provided assistance.
Significance. If the completeness result is established with a correct reduction to quantifier-free reasoning, the work supplies a theoretical account of why practical unrolling-based verifiers succeed when they do and clarifies the boundary conditions under which they are guaranteed to terminate, which would be a useful bridge between heuristic practice and complete FO reasoning in the ADT setting.
major comments (1)
- [Abstract] Abstract (paragraph 2): the central completeness claim for the combined theory is asserted without an explicit theorem statement, proof sketch, or reduction argument; because this is the load-bearing result, the manuscript must supply at least an outline of how unrolling interacts with the decidable QF fragment and how mutual recursion or non-free constructors are handled.
Simulated Author's Rebuttal
We thank the referee for their careful review and constructive feedback. We address the single major comment below and will revise the manuscript to strengthen the presentation of the central result.
read point-by-point responses
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Referee: [Abstract] Abstract (paragraph 2): the central completeness claim for the combined theory is asserted without an explicit theorem statement, proof sketch, or reduction argument; because this is the load-bearing result, the manuscript must supply at least an outline of how unrolling interacts with the decidable QF fragment and how mutual recursion or non-free constructors are handled.
Authors: We agree that the abstract would benefit from greater explicitness. In the revised version we will insert a direct reference to the main completeness theorem (Theorem 4.1) together with a one-sentence outline: unrolling is performed until every recursive call has been eliminated, yielding a quantifier-free formula whose validity is then decided by the background theory; mutual recursion is handled by simultaneous unrolling of all mutually recursive definitions, and non-free constructors are accommodated by the standard axioms of the algebraic-datatype theory. The full reduction argument and termination proof remain in Section 4; only the abstract is augmented. revision: yes
Circularity Check
No circularity: completeness claim is a standalone theoretical result
full rationale
The provided abstract and context present a completeness theorem for a formalized version of an existing unrolling heuristic in the combined theory of algebraic datatypes and background theories (under the decidable QF assumption). No equations, fitted parameters, self-citations, or ansatzes are exhibited that reduce the claimed completeness to the input heuristic by construction. The derivation chain is therefore self-contained as a standard proof of completeness rather than a renaming or re-derivation of its own premises.
Axiom & Free-Parameter Ledger
Reference graph
Works this paper leans on
- [1]
-
[2]
Franz Baader and Silvio Ghilardi. 2005. Connecting Many-Sorted Theories. InAutomated Deduction – CADE-20, Robert Nieuwenhuis (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 278–294
work page 2005
-
[3]
Kshitij Bansal, Andrew Reynolds, Tim King, Clark Barrett, and Thomas Wies. 2015. Deciding Local Theory Extensions via E-matching. InComputer Aided Verification, Daniel Kroening and Corina S. P ˘as˘areanu (Eds.). Springer International Publishing, Cham, 87–105
work page 2015
-
[4]
Clark Barrett, Christopher L. Conway, Morgan Deters, Liana Hadarean, Dejan Jovanovi´c, Tim King, Andrew Reynolds, and Cesare Tinelli. 2011. CVC4. InComputer Aided Verification, Ganesh Gopalakrishnan and Shaz Qadeer (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 171–177
work page 2011
-
[5]
Clark Barrett, Christopher L. Conway, Morgan Deters, Liana Hadarean, Dejan Jovanovi´c, Tim King, Andrew Reynolds, and Cesare Tinelli. 2011. CVC4. InProceedings of the 23rd International Conference on Computer Aided Verification(Snowbird, UT)(CAV’11). Springer-Verlag, Berlin, Heidelberg, 171–177
work page 2011
-
[6]
1977.Handbook of Mathematical Logic
Jon Barwise. 1977.Handbook of Mathematical Logic. North-Holland Publishing Company, Amsterdam
work page 1977
-
[7]
Josh Berdine, Cristiano Calcagno, and Peter W. O’Hearn. 2005. Symbolic Execution with Separation Logic. InProceedings of the Third Asian Conference on Programming Languages and Systems (APLAS’05). 52–68
work page 2005
-
[8]
1999.Integrating Decision Procedures for Temporal Verification
Nikolaj Skallerud Bjorner. 1999.Integrating Decision Procedures for Temporal Verification. Ph. D. Dissertation. Stanford University, Stanford, CA, USA. Advisor(s) Manna, Zohar. AAI9924398
work page 1999
-
[9]
R´egis Blanc, Viktor Kuncak, Etienne Kneuss, and Philippe Suter. 2013. An Overview of the Leon Verification System: Verification by Translation to Recursive Functions. InProceedings of the 4th Workshop on Scala (Montpellier, France)(SCALA ’13). Association for Computing Machinery, New York, NY, USA, Article 1, 10 pages. doi:10.1145/2489837.2489838
-
[10]
Jasmin Christian Blanchette and Koen Claessen. 2010. Generating Counterexamples for Structural Inductions by Exploiting Nonstandard Models. InLogic for Programming, Artificial Intelligence, and Reasoning, Christian G. Ferm¨ uller and Andrei Voronkov (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 127–141
work page 2010
-
[11]
Franc ¸ois Bobot, Jean-Christophe Filliˆatre, Claude March´e, and Andrei Paskevich. 2011. Why3: Shepherd Your Herd of Provers. InBoogie 2011: First International Workshop on Intermediate Verification Languages. HAL-Inria, Wroclaw, Poland, 53–64. https://hal.inria.fr/hal-00790310
work page 2011
-
[12]
Franc ¸ois Bobot, Jean-Christophe Filliˆatre, Claude March´e, and Andrei Paskevich. 2015. Let’s Verify This with Why3.International Journal on Software Tools for Technology Transfer (STTT)17, 6 (2015), 709–727. doi:10.1007/s10009-014-0314-5 See also http://toccata.lri.fr/gallery/fm2012comp.en.html
-
[13]
Robert S. Boyer and J. Strother Moore. 1988.A Computational Logic Handbook. Academic Press Professional, Inc., USA
work page 1988
-
[14]
Aaron R. Bradley and Zohar Manna. 2007.The Calculus of Computation: Decision Procedures with Applications to Verification. Springer-Verlag, Berlin, Heidelberg
work page 2007
-
[15]
Bradley, Zohar Manna, and Henny B
Aaron R. Bradley, Zohar Manna, and Henny B. Sipma. 2006. What’s Decidable About Arrays?. InVerification, Model Checking, and Abstract Interpretation, E. Allen Emerson and Kedar S. Namjoshi (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 427–442
work page 2006
-
[16]
Harsh Raju Chamarthi, Peter Dillinger, Panagiotis Manolios, and Daron Vroon. 2011. The ACL2 Sedan Theorem Proving System. InProceedings of the 17th International Conference on Tools and Algorithms for the Construction and Analysis of Systems: Part of the Joint European Conferences on Theory and Practice of Software(Saarbr¨ ucken, Germany)(TACAS’11/ETAPS’1...
work page 2011
-
[17]
Koen Claessen, Moa Johansson, Dan Ros´en, and Nicholas Smallbone. 2013. Automating Inductive Proofs Using Theory Exploration. InAutomated Deduction – CADE-24, Maria Paola Bonacina (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 392–406
work page 2013
-
[18]
Simon Cruanes. 2017. Superposition with Structural Induction. InFrontiers of Combining Systems, Clare Dixon and Marcelo Finger (Eds.). Springer International Publishing, Cham, 172–188
work page 2017
-
[19]
The dafny-lang community. 2022. https://dafny-lang.github.io/dafny/DafnyRef/DafnyRef 44 Adithya Murali, Lucas Pe ˜na, Ranjit Jhala, and P. Madhusudan
work page 2022
-
[20]
Emanuele De Angelis, Fabio Fioravanti, Alberto Pettorossi, and Maurizio Proietti. 2018. Solving Horn Clauses on Inductive Data Types Without Induction.Theory and Practice of Logic Programming18, 3-4 (2018), 452–469. doi:10.1017/S1471068418000157
-
[21]
Leonardo de Moura and Nikolaj Bjørner. 2008. Z3: An Efficient SMT Solver. InProceedings of the 14th International Conference on Tools and Algorithms for the Construction and Analysis of Systems(Budapest, Hungary)(TACAS’08). Springer-Verlag, Berlin, Heidelberg, 337–340
work page 2008
-
[22]
Leonardo de Moura and Nikolaj Bjørner. 2009. Generalized, efficient array decision procedures. In2009 Formal Methods in Computer-Aided Design. IEEE, 45–52. doi:10.1109/FMCAD.2009.5351142
-
[23]
David Detlefs, Greg Nelson, and James B. Saxe. 2005. Simplify: A Theorem Prover for Program Checking.J. ACM52, 3 (May 2005), 365–473. doi:10.1145/1066100.1066102
-
[24]
Neta Elad, Adithya Murali, and Sharon Shoham. 2026. Separating the Wheat from the Chaff: Understanding (In-)Completeness of Proof Mechanisms for Separation Logic with Inductive Definitions.Proc. ACM Program. Lang.10, POPL, Article 29 (Jan. 2026), 32 pages. doi:10.1145/3776671
-
[25]
Neta Elad, Oded Padon, and Sharon Shoham. 2024. An Infinite Needle in a Finite Haystack: Finding Infinite Counter-Models in Deductive Verification.Proc. ACM Program. Lang.8, POPL, Article 33 (Jan. 2024), 31 pages. doi:10.1145/3632875
-
[26]
Neta Elad and Sharon Shoham. 2025. Axe ’Em: Eliminating Spurious States with Induction Axioms.Proc. ACM Program. Lang.9, POPL, Article 17 (Jan. 2025), 30 pages. doi:10.1145/3704853
- [27]
-
[28]
Jean-Christophe Filliˆatre and Andrei Paskevich. 2013. Why3 — Where Programs Meet Provers. InProgramming Languages and Systems, Matthias Felleisen and Philippa Gardner (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 125–128
work page 2013
-
[29]
Pascal Fontaine. 2007. Combinations of Theories and the Bernays-Sch ¨onfinkel-Ramsey Class. In4th Interna- tional Verification Workshop - VERIFY’07 (CEUR Workshop Proceedings, Vol. 259), Bernhard Beckert (Ed.). HAL-Inria, Bremen, Germany, 37–54. https://hal.inria.fr/inria-00186639 URL : http://sunsite.informatik.rwth- aachen.de/Publications/CEUR-WS/Vol-25...
work page 2007
-
[30]
Rui Ge, Ronald Garcia, and Alexander J. Summers. 2024. A Formal Model to Prove Instantiation Termination for E-matching-Based Axiomatisations. InAutomated Reasoning, Christoph Benzm¨ uller, Marijn J.H. Heule, and Renate A. Schmidt (Eds.). Springer Nature Switzerland, Cham, 419–438
work page 2024
-
[31]
Yeting Ge and Leonardo de Moura. 2009. Complete Instantiation for Quantified Formulas in Satisfiabiliby Modulo Theories. InComputer Aided Verification, Ahmed Bouajjani and Oded Maler (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 306–320
work page 2009
-
[32]
Silvio Ghilardi. 2004. Model-Theoretic Methods in Combined Constraint Satisfiability.Journal of Automated Reasoning33, 3 (01 Oct 2004), 221–249. doi:10.1007/s10817-004-6241-5
-
[33]
P. C. Gilmore. 1960. A proof method for quantification theory: its justification and realization.IBM J. Res. Dev.4, 1 (Jan. 1960), 28–35. doi:10.1147/rd.41.0028
-
[34]
Fajar Haifani, Sophie Tourret, and Christoph Weidenbach. 2021. Generalized Completeness for SOS Resolution and its Application to a New Notion of Relevance. InAutomated Deduction – CADE 28, Andr´e Platzer and Geoff Sutcliffe (Eds.). Springer International Publishing, Cham, 327–343
work page 2021
-
[35]
M´arton Hajd´ u, Petra Hozzov´a, Laura Kov´acs, Johannes Schoisswohl, and Andrei Voronkov. 2020. Induction with Generalization in Superposition Reasoning. InIntelligent Computer Mathematics: 13th International Conference, CICM 2020, Bertinoro, Italy, July 26–31, 2020, Proceedings(Bertinoro, Italy). Springer-Verlag, Berlin, Heidelberg, 123–137. doi:10.1007...
-
[36]
M´arton Hajd´ u, Petra Hozzov´a, Laura Kov´acs, and Andrei Voronkov. 2021. Induction with Recursive Definitions in Superposition. InProceedings of the 21st Conference on Formal Methods in Computer-Aided Design – FMCAD 2021. TU Wien Academic Press, Wien, 246–255. doi:10.34727/2021/isbn.978-3-85448-046-4 34
-
[37]
Jad Hamza, Nicolas Voirol, and Viktor Kun ˇcak. 2019. System FR: Formalized Foundations for the Stainless Verifier.Proc. ACM Program. Lang.3, OOPSLA, Article 166 (oct 2019), 30 pages. doi:10.1145/3360592
-
[38]
Wilfrid Hodges. 1997.A Shorter Model Theory. Cambridge University Press, USA
work page 1997
-
[39]
Hossein Hojjat and Philipp R¨ ummer. 2017. Deciding and Interpolating Algebraic Data Types by Reduction. In19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2017, Timisoara, Romania, September 21-24, 2017, Tudor Jebelean, Viorel Negru, Dana Petcu, Daniela Zaharie, Tetsuo Ida, and Stephen M. Watt (Eds.). IEEE ...
-
[40]
Hopcroft, Rajeev Motwani, and Jeffrey D
John E. Hopcroft, Rajeev Motwani, and Jeffrey D. Ullman. 2006.Introduction to Automata Theory, Languages, and Computation (3rd Edition). Addison-Wesley Longman Publishing Co., Inc., USA
work page 2006
-
[41]
Carsten Ihlemann, Swen Jacobs, and Viorica Sofronie-Stokkermans. 2008. On Local Reasoning in Verification. InTools and Algorithms for the Construction and Analysis of Systems, C. R. Ramakrishnan and Jakob Rehof (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 265–281
work page 2008
-
[42]
Radu Iosif, Adam Rogalewicz, and Jiri Simacek. 2013. The Tree Width of Separation Logic with Recursive Definitions. InAutomated Deduction – CADE-24, Maria Paola Bonacina (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 21–38
work page 2013
-
[43]
Andrew Ireland and Alan Bundy. 1996. Productive Use of Failure in Inductive Proof. InAutomated Mathematical Induction, Hantao Zhang (Ed.). Springer Netherlands, Dordrecht, 79–111. doi:10.1007/978-94-009-1675-3 3
-
[44]
Moa Johansson, Lucas Dixon, and Alan Bundy. 2010. Case-Analysis for Rippling and Inductive Proof. In Proceedings of the First International Conference on Interactive Theorem Proving(Edinburgh, UK)(ITP’10). Springer-Verlag, Berlin, Heidelberg, 291–306. https://doi.org/10.1007/978-3-642-14052-5 21
-
[45]
Deepak Kapur, Rupak Majumdar, and Calogero G. Zarba. 2006. Interpolation for Data Structures. In Proceedings of the 14th ACM SIGSOFT International Symposium on Foundations of Software Engineering (Portland, Oregon, USA)(SIGSOFT ’06/FSE-14). Association for Computing Machinery, New York, NY, USA, 105–116. doi:10.1145/1181775.1181789
-
[46]
Strother Moore, and Panagiotis Manolios
Matt Kaufmann, J. Strother Moore, and Panagiotis Manolios. 2000.Computer-Aided Reasoning: An Approach. Kluwer Academic Publishers, USA
work page 2000
-
[47]
Laura Kov´acs, Simon Robillard, and Andrei Voronkov. 2017. Coming to Terms with Quantified Reasoning. In Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages(Paris, France) (POPL ’17). ACM, New York, NY, USA, 260–270. doi:10.1145/3009837.3009887
-
[48]
Laura Kov´acs and Andrei Voronkov. 2013. First-Order Theorem Proving and Vampire. InComputer Aided Verification, Natasha Sharygina and Helmut Veith (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 1–35
work page 2013
-
[49]
Sava Krstic, Amit Goel, Jim Grundy, and Cesare Tinelli. 2007. Combined Satisfiability modulo Parametric Theories. InProceedings of the 13th International Conference on Tools and Algorithms for the Construction and Analysis of Systems(Braga, Portugal)(TACAS’07). Springer-Verlag, Berlin, Heidelberg, 602–617
work page 2007
- [50]
-
[51]
K. Rustan M. Leino. 2010. Dafny: An Automatic Program Verifier for Functional Correctness. InProceedings of the 16th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning(Dakar, Senegal)(LPAR’10). Springer-Verlag, Berlin, Heidelberg, 348–370. doi:10.5555/1939141.1939161
-
[52]
K. R. M. Leino and Cl´ement Pit-Claudel. 2016. Trigger Selection Strategies to Stabilize Program Verifiers. In Computer Aided Verification, Swarat Chaudhuri and Azadeh Farzan (Eds.). Springer International Publishing, Cham, 361–381
work page 2016
-
[53]
Rustan Leino and Nadia Polikarpova. 2013. Verified Calculations. https://www.microsoft.com/en-us/research/ publication/verified-calculations/
work page 2013
-
[54]
Christof L ¨oding, P. Madhusudan, and Lucas Pe ˜na. 2018. Foundations for natural proofs and quantifier instantiation.PACMPL2, POPL (2018), 10:1–10:30. doi:10.1145/3158098
-
[55]
A. I. Mal’tsev. 1962. Axiomatizable classes of locally free algebras of certain types.Sibirsk. Mat. Zh.3 (1962), 729–743. Issue 5
work page 1962
-
[56]
Zohar Manna, Henny B. Sipma, and Ting Zhang. 2007. Verifying Balanced Trees. InLogical Foundations of Computer Science, Sergei N. Artemov and Anil Nerode (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 363–378
work page 2007
-
[57]
Yuri V. Matiyasevich. 1993.Hilbert’s Tenth Problem. MIT Press, Cambridge, MA, USA
work page 1993
-
[58]
Micha l Moskal. 2009. Programming with Triggers. InProceedings of the 7th International Workshop on Satisfiability Modulo Theories(Montreal, Canada)(SMT ’09). Association for Computing Machinery, New York, NY, USA, 20–29. doi:10.1145/1670412.1670416
-
[59]
Adithya Murali, Hrishikesh Balakrishnan, Aaron Councilman, and P. Madhusudan. 2025. FO-Complete Program Verification for Heap Logics.Proc. ACM Program. Lang.9, OOPSLA1, Article 106 (April 2025), 29 pages. doi:10.1145/3720447
-
[60]
Adithya Murali, Lucas Pe˜na, Eion Blanchard, Christof L ¨oding, and P. Madhusudan. 2022. Model-Guided Synthesis of Inductive Lemmas for FOL with Least Fixpoints.Proc. ACM Program. Lang.6, OOPSLA2, 46 Adithya Murali, Lucas Pe ˜na, Ranjit Jhala, and P. Madhusudan Article 191 (oct 2022), 30 pages. doi:10.1145/3563354
-
[61]
Adithya Murali, Lucas Pe˜na, Ranjit Jhala, and P. Madhusudan. 2023. Complete First-Order Reasoning for Properties of Functional Programs.Proc. ACM Program. Lang.7, OOPSLA2, Article 259 (oct 2023), 30 pages. doi:10.1145/3622835
-
[62]
1980.Techniques for Program Verification
Charles Gregory Nelson. 1980.Techniques for Program Verification. Ph. D. Dissertation. Stanford University, Stanford, CA, USA. AAI8011683
work page 1980
-
[63]
Greg Nelson and Derek C. Oppen. 1979. Simplification by Cooperating Decision Procedures.ACM Trans. Program. Lang. Syst.1, 2 (oct 1979), 245–257. doi:10.1145/357073.357079
-
[64]
O’Hearn, Hongseok Yang, and John C
Peter W. O’Hearn, Hongseok Yang, and John C. Reynolds. 2004. Separation and Information Hiding. In Proceedings of the 31st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (Venice, Italy)(POPL ’04). ACM, New York, NY, USA, 268–280. doi:10.1145/964001.964024
-
[65]
Grant Passmore, Simon Cruanes, Denis Ignatovich, Dave Aitken, Matt Bray, Elijah Kagan, Kostya Kanishev, Ewen Maclean, and Nicola Mometto. 2020. The Imandra Automated Reasoning System (System Description). InAutomated Reasoning, Nicolas Peltier and Viorica Sofronie-Stokkermans (Eds.). Springer International Publishing, Cham, 464–471
work page 2020
-
[66]
Edgar Pek, Xiaokang Qiu, and P. Madhusudan. 2014. Natural Proofs for Data Structure Manipulation in C Using Separation Logic. InProceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation(Edinburgh, United Kingdom)(PLDI ’14). ACM, New York, NY, USA, 440–451. doi:10.1145/2594291.2594325
-
[67]
Tuan-Hung Pham and Michael W. Whalen. 2013. RADA: A Tool for Reasoning about Algebraic Data Types with Abstractions. InProceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering (Saint Petersburg, Russia)(ESEC/FSE 2013). Association for Computing Machinery, New York, NY, USA, 611–614. doi:10.1145/2491411.2494597
-
[68]
Ruzica Piskac, Thomas Wies, and Damien Zufferey. 2013. Automating Separation Logic Using SMT. In Proceedings of the 25th International Conference on Computer Aided Verification(Saint Petersburg, Russia) (CAV’13). Springer-Verlag, Berlin, Heidelberg, 773–789. doi:10.1007/978-3-642-39799-8 54
-
[69]
Moj˙ zesz Presburger and Dale Jabcquette. 1991. On the completeness of a certain system of arithmetic of whole numbers in which addition occurs as the only operation.History and Philosophy of Logic12, 2 (1991), 225–233. arXiv:https://doi.org/10.1080/014453409108837187 doi:10.1080/014453409108837187
-
[70]
Xiaokang Qiu, Pranav Garg, Andrei S ¸tef˘anescu, and P. Madhusudan. 2013. Natural Proofs for Structure, Data, and Separation. InProceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation(Seattle, Washington, USA)(PLDI ’13). ACM, New York, NY, USA, 231–242. doi:10.1145/2491956.2462169
-
[71]
Giles Reger, Martin Suda, and Andrei Voronkov. 2017. Instantiation and pretending to be an SMT solver with V AMPIRE.CEUR Workshop Proceedings1889 (1 Jan. 2017), 63–75. 15th International Workshop on Satisfiability Modulo Theories, SMT 2017 ; Conference date: 22-07-2017 Through 23-07-2017
work page 2017
-
[72]
Andrew Reynolds. 2017. Conflicts, Models and Heuristics for Quantifier Instantiation in SMT. InVampire
work page 2017
-
[73]
44), Laura Kovacs and Andrei Voronkov (Eds.)
Proceedings of the 3rd Vampire Workshop (EPiC Series in Computing, Vol. 44), Laura Kovacs and Andrei Voronkov (Eds.). EasyChair, Portugal, 1–15. doi:10.29007/jmd3
-
[74]
Andrew Reynolds and Jasmin Christian Blanchette. 2017. A Decision Procedure for (Co)Datatypes in SMT Solvers.J. Autom. Reason.58, 3 (mar 2017), 341–362. doi:10.1007/s10817-016-9372-6
-
[75]
Andrew Reynolds and Viktor Kuncak. 2015. Induction for SMT Solvers. InVerification, Model Checking, and Abstract Interpretation, Deepak D’Souza, Akash Lal, and Kim Guldstrand Larsen (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 80–98
work page 2015
-
[76]
John C. Reynolds. 1972. Definitional Interpreters for Higher-Order Programming Languages. InProceedings of the ACM Annual Conference - Volume 2(Boston, Massachusetts, USA)(ACM ’72). Association for Computing Machinery, New York, NY, USA, 717–740. doi:10.1145/800194.805852
-
[77]
Rondon, Ming Kawaguci, and Ranjit Jhala
Patrick M. Rondon, Ming Kawaguci, and Ranjit Jhala. 2008. Liquid Types.SIGPLAN Not.43, 6 (jun 2008), 159–169. doi:10.1145/1379022.1375602
-
[78]
Philipp R¨ ummer. 2012. E-Matching with Free Variables. InLogic for Programming, Artificial Intelligence, and Reasoning, Nikolaj Bjørner and Andrei Voronkov (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 359–374
work page 2012
-
[79]
T. Rybina and A. Voronkov. 2001. A Decision Procedure for Term Algebras with Queues.ACM Trans. Comput. Logic2, 2 (apr 2001), 155–181. doi:10.1145/371316.371494 Complete first-order reasoning for functional programs 47
-
[80]
Aishwarya Sivaraman, Alex Sanchez-Stern, Bretton Chen, Sorin Lerner, and Todd Millstein. 2022. Data-Driven Lemma Synthesis for Interactive Proofs.Proc. ACM Program. Lang.6, OOPSLA2, Article 143 (oct 2022), 27 pages. doi:10.1145/3563306
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