pith. sign in

arxiv: 1907.03998 · v1 · pith:2CSSP3H7new · submitted 2019-07-09 · 💻 cs.LO

Ultimate TreeAutomizer (CHC-COMP Tool Description)

Pith reviewed 2026-05-25 00:16 UTC · model grok-4.3

classification 💻 cs.LO
keywords constrained horn clausestrace abstractiontree automatatree interpolationsatisfiability solverCHC-COMPprogram verification
0
0 comments X

The pith

Ultimate TreeAutomizer solves constrained Horn clause satisfiability using trace abstraction, tree automata, and tree interpolation.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents Ultimate TreeAutomizer, a tool that decides whether sets of constrained Horn clauses are satisfiable. Constrained Horn clauses are a fragment of first-order logic chosen for its mix of expressive power and amenability to algorithmic treatment. The solver is built by combining trace abstraction, tree automata, and tree interpolation. A reader would care because solvers for this fragment support automated reasoning tasks such as program verification. The description is prepared for the tool's entry in the CHC-COMP 2019 competition.

Core claim

Ultimate TreeAutomizer is a solver for satisfiability of sets of constrained Horn clauses that is constructed from the techniques of trace abstraction, tree automata, and tree interpolation.

What carries the argument

The integration of trace abstraction, tree automata, and tree interpolation to decide satisfiability of constrained Horn clauses.

If this is right

  • The solver can check satisfiability for any set of constrained Horn clauses submitted to it.
  • The tool is available as an entrant in the CHC-COMP 2019 competition.
  • An additional algorithmic pathway exists for solving problems expressed as constrained Horn clauses.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same combination of techniques could be tested on related fragments of first-order logic beyond constrained Horn clauses.
  • Benchmark results from CHC-COMP 2019 would provide a direct measure of whether the implementation scales to practical instances.
  • The solver could be integrated into larger verification pipelines that already produce constrained Horn clauses.

Load-bearing premise

The combination of trace abstraction, tree automata, and tree interpolation is sufficient to produce a functional solver for constrained Horn clause satisfiability.

What would settle it

The tool returning an incorrect satisfiability answer on a standard constrained Horn clause benchmark instance where the answer is independently known.

Figures

Figures reproduced from arXiv: 1907.03998 by Alexander Nutz (University of Freiburg), Andreas Podelski (University of Freiburg), Daniel Dietsch (University of Freiburg), Jochen Hoenicke (University of Freiburg), Matthias Heizmann (University of Freiburg).

Figure 1
Figure 1. Figure 1: The proving process starts by sampling a derivatio [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 1
Figure 1. Figure 1: Trace abstraction refinement scheme used [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: generalize procedure as called in the refine￾ment algorithm in [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
read the original abstract

We present Ultimate TreeAutomizer, a solver for satisfiability of sets of constrained Horn clauses. Constrained Horn clauses (CHC) are a fragment of first order logic with attractive properties in terms of expressiveness and accessibility to algorithmic solving. Ultimate TreeAutomizer is based on the techniques of trace abstraction, tree automata and tree interpolation. This paper serves as a tool description for TreeAutomizer in CHC-COMP 2019.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 1 minor

Summary. The manuscript presents Ultimate TreeAutomizer as a solver for satisfiability of constrained Horn clauses (CHC), relying on the established techniques of trace abstraction, tree automata, and tree interpolation. The paper functions solely as a tool description announcing the tool's participation in CHC-COMP 2019.

Significance. If the implementation works as stated, the contribution is to make available a CHC solver that combines three known methods; the paper itself contains no new theorems, complexity results, or benchmark data.

minor comments (1)
  1. The abstract and text give no indication of the paper's length or structure; if the full manuscript is only a few paragraphs, consider whether it meets the journal's minimum requirements for a tool-description article.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the review and the recommendation to accept the manuscript.

Circularity Check

0 steps flagged

No significant circularity; tool description only

full rationale

The paper is a competition tool description whose sole content is the announcement that Ultimate TreeAutomizer implements a CHC solver using the three named techniques (trace abstraction, tree automata, tree interpolation). No derivation chain, theorem, equation, prediction, or quantitative claim is advanced, so none of the enumerated circularity patterns can apply. The text contains no self-citations that bear load, no fitted parameters renamed as predictions, and no ansatz or uniqueness result imported from prior work by the same authors. The implementation claim is externally falsifiable via CHC-COMP participation and is therefore self-contained.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The paper is a tool description with no mathematical derivations, fitted parameters, or new postulated entities.

pith-pipeline@v0.9.0 · 5622 in / 931 out tokens · 24085 ms · 2026-05-25T00:16:24.825213+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

19 extracted references · 19 canonical work pages

  1. [1]

    In: CIAA, Lecture Notes in Computer Science 4094, Springer, pp

    Parosh Aziz Abdulla, Lisa Kaati & Johanna H¨ ogberg (2006 ): Bisimulation Minimization of Tree Automata . In: CIAA, Lecture Notes in Computer Science 4094, Springer, pp. 173–185, doi: 10.1137/0216062

  2. [2]

    Conway, Morgan Deters, Li ana Hadarean, Dejan Jovanovic, Tim King, Andrew Reynolds & Cesare Tinelli (2011): CVC4

    Clark Barrett, Christopher L. Conway, Morgan Deters, Li ana Hadarean, Dejan Jovanovic, Tim King, Andrew Reynolds & Cesare Tinelli (2011): CVC4. In: CA V, Lecture Notes in Computer Science 6806, Springer, pp. 171–177, doi:10.1007/3-540-45657-0_40

  3. [3]

    McMillan & An drey Rybalchenko (2015): Horn Clause Solvers for Program V erification

    Nikolaj Bjørner, Arie Gurfinkel, Kenneth L. McMillan & An drey Rybalchenko (2015): Horn Clause Solvers for Program V erification. In: Fields of Logic and Computation II , Lecture Notes in Computer Science 9300, Springer, pp. 24–51, doi: 10.1007/978-3-319-19249-9

  4. [4]

    In: SPIN, Lecture Notes in Computer Science 7385, Springer, pp

    J¨ urgen Christ, Jochen Hoenicke & Alexander Nutz (2012) : SMTInterpol: An Interpolating SMT Solver . In: SPIN, Lecture Notes in Computer Science 7385, Springer, pp. 248–254, doi: 10.1007/11532231_26

  5. [5]

    In: TACAS, Lecture Notes in Computer Science 7795, Springer, pp

    Alessandro Cimatti, Alberto Griggio, Bastiaan Joost Sc haafsma & Roberto Sebastiani (2013): The MathSAT5 SMT Solver . In: TACAS, Lecture Notes in Computer Science 7795, Springer, pp. 93–107, doi: 10.1007/ 978-3-642-31365-3_38

  6. [6]

    Clarke, Orna Grumberg, Somesh Jha, Y uan Lu & Hel mut V eith (2000):Counterexample-Guided Abstraction Refinement

    Edmund M. Clarke, Orna Grumberg, Somesh Jha, Y uan Lu & Hel mut V eith (2000):Counterexample-Guided Abstraction Refinement. In: CA V, Lecture Notes in Computer Science 1855, Springer, pp. 154–169, doi: 10. 1007/3-540-49519-3_18

  7. [7]

    Comon, M

    H. Comon, M. Dauchet, R. Gilleron, C. L¨ oding, F. Jacquem ard, D. Lugiez, S. Tison & M. Tommasi (2007): Tree Automata T echniques and Applications. Available on: http://www.grappa.univ-lille3.fr/tata. Release October, 12th 2007

  8. [8]

    Newton in software model checking

    Daniel Dietsch, Matthias Heizmann, Betim Musa, Alexand er Nutz & Andreas Podelski (2017): Craig vs. Newton in software model checking. In: ESEC/SIGSOFT FSE, ACM, pp. 487–497, doi:10.1145/3106237. 3106307

  9. [9]

    Brayton (2011): Efficient implementation of property directed reachability

    Niklas E´ en, Alan Mishchenko & Robert K. Brayton (2011): Efficient implementation of property directed reachability. In: FMCAD, FMCAD Inc., pp. 125–134

  10. [10]

    Lopes, Corneliu Popeea & Andrey Rybalchenko (2012): HSF(C): A Software V erifier Based on Horn Clauses - (Competit ion Contribution)

    Sergey Grebenshchikov, Ashutosh Gupta, Nuno P . Lopes, Corneliu Popeea & Andrey Rybalchenko (2012): HSF(C): A Software V erifier Based on Horn Clauses - (Competit ion Contribution) . In: TACAS, Lecture Notes in Computer Science 7214, Springer, pp. 549–551, doi: 10.1007/978-3-540-69611-7_16

  11. [11]

    Lopes, Corneliu Popeea & Andrey Rybalchenko (2012): Synthesizing soft- ware verifiers from proof rules

    Sergey Grebenshchikov, Nuno P . Lopes, Corneliu Popeea & Andrey Rybalchenko (2012): Synthesizing soft- ware verifiers from proof rules. In: PLDI, ACM, pp. 405–416, doi: 10.1145/2254064.2254112

  12. [12]

    In: SAS, Lecture Notes in Computer Science 5673, Springer, pp

    Matthias Heizmann, Jochen Hoenicke & Andreas Podelski (2009): Refinement of Trace Abstraction . In: SAS, Lecture Notes in Computer Science 5673, Springer, pp. 69–85, doi: 10.1007/978-3-540-73368-3_ 46

  13. [13]

    In: POPL, ACM, pp

    Matthias Heizmann, Jochen Hoenicke & Andreas Podelski (2010): Nested interpolants . In: POPL, ACM, pp. 471–482, doi: 10.1145/1706299.1706353

  14. [14]

    In: SA T, Lecture Notes in Computer Science 7317, Springer, pp

    Krystof Hoder & Nikolaj Bjørner (2012): Generalized Property Directed Reachability . In: SA T, Lecture Notes in Computer Science 7317, Springer, pp. 157–171, doi: 10.1007/3-540-49481-2_26

  15. [15]

    In: POPL, ACM, pp

    Jochen Hoenicke, Rupak Majumdar & Andreas Podelski (20 17): Thread modularity at many levels: a pearl in compositional verification . In: POPL, ACM, pp. 473–485, doi: 10.1145/3009837.3009893. Dietsch, Heizmann, Hoenicke, Nutz, Podelski 47

  16. [16]

    Gallagher (2015): Tree Automata-Based Refinement with Application to Horn Clause V erification

    Bishoksan Kafle & John P . Gallagher (2015): Tree Automata-Based Refinement with Application to Horn Clause V erification. In: VMCAI, Lecture Notes in Computer Science 8931, Springer, pp. 209–226, doi: 10. 1007/3-540-52753-2_52

  17. [17]

    Gallagher & Jos´ e F

    Bishoksan Kafle, John P . Gallagher & Jos´ e F. Morales (20 16): Rahft: A T ool for V erifying Horn Clauses Using Abstract Interpretation and Finite Tree Automata . In: CA V (1), Lecture Notes in Computer Science 9779, Springer, pp. 261–268, doi: 10.1016/j.jsc.2010.06.005

  18. [18]

    In: TACAS, Lecture Notes in Computer Science 4963, Springer, pp

    Leonardo Mendonc ¸a de Moura & Nikolaj Bjørner (2008): Z3: An Efficient SMT Solver . In: TACAS, Lecture Notes in Computer Science 4963, Springer, pp. 337–340, doi: 10.1109/MS.2006.117

  19. [19]

    Weifeng Wang & Li Jiao (2016): Trace Abstraction Refinement for Solving Horn Clauses . Comput. J. 59(8), pp. 1236–1251, doi: 10.1145/69575.69577