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Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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KSG: A Symbolic Semantics Graph Generation Method of Smart Contract Based on the K Framework.

Jie Li1,2, Yucheng Zhao1, Xiaoyu Yang1

  • 1School of Computer Science and Artificial Intelligence, Beijing Wuzi University, Beijing, China.

Big Data
|April 17, 2026
PubMed
Summary

This study introduces KSG, a novel semantic graph generation approach for blockchain smart contracts. KSG simplifies formal verification by transforming contract code into a graph, enhancing security analysis and developer understanding.

Keywords:
K frameworkformal semanticsreachability assertionsmart contract

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Area of Science:

  • Computer Science
  • Blockchain Technology
  • Formal Methods

Background:

  • Formal semantics of blockchain smart contracts are crucial for verification and security analysis.
  • Current methods using mathematical logic present high entry barriers and integration challenges with other program analysis techniques.

Purpose of the Study:

  • To propose a novel semantic graph generation approach (KSG) for blockchain smart contracts.
  • To overcome the limitations of traditional formal methods by providing a more accessible and integrable analysis framework.

Main Methods:

  • Formally defining semantic rules for contract languages.
  • Constructing a semantic interpreter and prover to automatically convert smart contract code into a scalable semantic graph.
  • The graph integrates semantic control flow, data flow, execution rules, and verification constraints.

Main Results:

  • The KSG approach generates a comprehensive semantic graph representing smart contract logic.
  • The generated graph facilitates vulnerability detection and symbolic execution.
  • The approach supports iterative optimization based on analysis outcomes.

Conclusions:

  • The KSG approach offers a more accessible and practical method for formal verification of blockchain smart contracts.
  • This technique enhances security analysis and aids developers in understanding contract execution.
  • Demonstrated effectiveness through verification of reentrancy and honeypot contracts.