Auxiliary information refers to additional data or context that can be used to enhance the primary data analysis, improve decision-making, or refine predictions in various fields such as statistics, machine learning, and information theory. It is often leveraged to address issues like missing data, increase the precision of estimates, and provide deeper insights by integrating related information sources.