The Journal of Combinatorics, Graph Theory and Applications embraces Generative AI (GenAI) tools as supportive aids to enhance research quality and efficiency in combinatorics, graph theory, and discrete mathematics, while upholding the highest standards of academic integrity and originality.

Permitted Applications

GenAI may be used for non-core intellectual tasks, including:

• Language & Style Enhancement: Improving language, grammar, clarity, and style in manuscripts (e.g., via tools like Grammarly or ChatGPT).
• Graph Visualization & Diagrams: Assisting in formatting graph diagrams, illustrations, or code visualizations from author-provided algorithms, with full verification of mathematical accuracy.
• Literature Synthesis: Assisting in literature reviews by summarizing thematic connections, identifying gaps, or extracting key concepts from existing discrete mathematics papers.
• Exploratory Computation: Supporting preliminary mathematical exploration, such as testing combinatorial identities or generating auxiliary test cases for graph algorithms.

These uses must augment, not replace, authors' original mathematical theorems, proofs, analyses, or interpretations.

Disclosure Requirements

Authors must explicitly disclose all GenAI use in the manuscript:

• In a dedicated "GenAI Usage" section or footnote, detailing tools used (e.g., "ChatGPT-4o for grammar polishing"), specific applications, and sections affected.
• Within the methods or acknowledgments section for any GenAI-influenced diagram processing or literature synthesis.
• Confirmation that final intellectual content, including theorems, proofs, combinatorial derivations, and conclusions, remains solely the authors' responsibility.

Note: Non-disclosure constitutes grounds for rejection or retraction.