Supplementary Material

Supplementary material in research papers expands upon the main text, providing detailed explanations, data, and code to enhance reproducibility and understanding. Current research focuses on improving efficiency in various domains, including decentralized multi-agent systems, knowledge retrieval from large language models, and optimization algorithms like Lasso. This supplementary information is crucial for validating findings, facilitating collaboration, and enabling the wider adoption of new methods across diverse scientific and engineering fields. The increasing availability of supplementary materials contributes to greater transparency and rigor in scientific research.