Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 147 tok/s
Gemini 2.5 Pro 53 tok/s Pro
GPT-5 Medium 29 tok/s Pro
GPT-5 High 33 tok/s Pro
GPT-4o 120 tok/s Pro
Kimi K2 221 tok/s Pro
GPT OSS 120B 449 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

Being polite is not enough (and other limits of theory combination) (2505.04870v2)

Published 8 May 2025 in cs.LO and math.LO

Abstract: In the Nelson-Oppen combination method for satisfiability modulo theories, the combined theories must be stably infinite; in gentle combination, one theory has to be gentle, and the other has to satisfy a similar yet weaker property; in shiny combination, only one has to be shiny (smooth, with a computable minimal model function and the finite model property); and for polite combination, only one has to be strongly polite (smooth and strongly finitely witnessable). For each combination method, we prove that if any of its assumptions are removed, then there is no general method to combine an arbitrary pair of theories satisfying the remaining assumptions. We also prove new theory combination results that weaken the assumptions of gentle and shiny combination.

Summary

Essay on "Being Polite is Not Enough (and Other Limits of Theory Combination)"

The paper "Being polite is not enough (and other limits of theory combination)" by Guilherme V. Toledo, Benjamin Przybocki, and Yoni Zohar critically examines the assumptions underpinning various theory combination methods in Satisfiability Modulo Theories (SMT). The paper is centered on identifying the limitations of classical theory combination techniques like the Nelson–Oppen combination, as well as more recent methods like polite, gentle, and shiny combinations. Additionally, the authors propose novel combination theorems that relax certain traditional requirements, offering new pathways for future research.

Background and Motivations

Theory combination is a crucial aspect of SMT, allowing the integration of decision procedures for different logical theories to solve complex satisfiability problems effectively. The seminal work by Nelson and Oppen established that two stably infinite theories can be combined over a disjoint signature. This approach was pivotal for SMT development, and its implications are widespread in tools like CVC5.

Subsequent advancements led to variants like polite, strong polite, gentle, and shiny combinations, each introducing a unique set of properties necessary for successful combination. These include smoothness, finite witnessability, gentle cardinality behavior, and properties related to model sizes. Despite their utility, the authors argue that each of these combination methods is not as flexible as desired when their stringent conditions are relaxed.

Main Contributions

The primary contribution of the paper is a rigorous demonstration of how failing to meet specific conditions in classical combination methods results in undecidability when merging theories. For example, removing stable infiniteness from one of the theories in the Nelson–Oppen approach or omitting smoothness in polite combination leads to unsatisfiable merges. These insights challenge long-standing claims, such as politeness being sufficient for theory combination, by providing decisive counterexamples.

  1. Nelson–Oppen Combination: The authors illustrate that assuming only one theory is stably infinite is insufficient to ensure decidability. They construct theories that are decidable on their own but become undecidable when combined.
  2. Gentle Combination: By leveraging the nuances of finite cardinality spectrums, the authors prove that gentleness alone does not guarantee a successful combination unless additional criteria are satisfied, thereby highlighting non-trivial overlaps with model theory.
  3. Polite and Shiny Combination: The paper systematically dismantles assumptions about smoothness and strong politeness, showing that these cannot be replaced by weaker notions without consequence. This analysis extends to shiny combination, where the necessity of the finite model property and a computable minimal model function is tested.
  4. Novel Theorems: Two new combination theorems mitigate these limitations. The first theorem offers a path forward by substituting gentleness with a computable model spectrum. The second removes the finite model property requirement in shiny combinations, replacing it with a condition on infinite model recognizability.

Implications and Future Directions

The implications of these findings are manifold. From a theoretical standpoint, the work provides a deeper understanding of the foundational aspects of SMT and theory combination. Practitioners can use these insights to refine existing SMT solvers, reducing computational overhead by judiciously applying combination conditions. Furthermore, by proposing novel theorems, the authors extend the field of decidable combinations, potentially impacting various applications in formal verification, artificial intelligence, and beyond.

The paper also sets the stage for future research into necessary conditions for theory combination, aiming to converge on minimal and sufficient criteria. This could lead to the development of more powerful combination tools and a richer theoretical framework for reasoning about functions and models in computer science.

In conclusion, the paper by Toledo, Przybocki, and Zohar is a rigorous and significant contribution to the field of SMT, unearthing the intricate balance required in theory combinations and offering new methodologies to address its inherent challenges.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 tweet and received 0 likes.

Upgrade to Pro to view all of the tweets about this paper: