The field of digital twins and spatial applications is rapidly advancing, with a focus on creating dynamic, virtual representations of physical systems and environments. Researchers are exploring the use of digital twins to transform traffic management, enable predictive maintenance, and optimize industrial processes. A key challenge in this field is the development of effective methods for data integration, synchronization, and management, particularly in the context of federated systems. Noteworthy papers in this area include Geo-ORBIT, which introduces a federated digital twin framework for scene-adaptive lane geometry detection, and Uniting the World by Dividing it, which presents a case for a federated spatial naming system to enable spatial applications. These innovative approaches are advancing the field and have the potential to enable a wide range of applications, from augmented reality and navigation to industrial automation and smart cities.