2025/10/02 by Bhaskar Mangal, Ashutosh Bhatia, Mangal, Bhaskar +7
Business, Management and Accounting · Computer Science · #D.2.2 #Digital Libraries (cs.DL) #FOS: Computer and information sciences #I.7.2 #Image Retrieval and Classification Techniques #Optics and Image Analysis #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2510.01961
openalex publication_date 2025/10/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The communication of technical insight in scientific manuscripts often relies on ad-hoc formatting choices, resulting in inconsistent visual emphasis and limited portability across document classes. This paper introduces ktbox, a modular LaTeX framework that unifies semantic color palettes, structured highlight boxes, taxonomy trees, and author metadata utilities into a coherent system for scholarly writing. The framework is distributed as a set of lightweight, namespaced components: ktcolor.sty for semantic palettes, ktbox.sty for structured highlight and takeaway environments, ktlrtree.sty for taxonomy trees with fusion and auxiliary annotations, and ktorcid.sty for ORCID-linked author metadata. Each component is independently usable yet interoperable, ensuring compatibility with major templates such as IEEEtran, acmart, iclr conference, and beamer. Key features include auto-numbered takeaway boxes, wide-format highlights, flexible taxonomy tree visualizations, and multi-column layouts supporting embedded tables, enumerations, and code blocks. By adopting a clear separation of concerns and enforcing a consistent naming convention under the kt namespace, the framework transforms visual styling from cosmetic add-ons into reproducible, extensible building blocks of scientific communication, improving clarity, portability, and authoring efficiency across articles, posters, and presentations.