In the light of the ongoing development of Generative AI (GenAI), we encourage the reflection on scientific publishing to increasingly leverage current and future information processing capabilities. Here, we propose a commonly recognizable framework for the description of validation techniques applicable to the material flow simulation of manufacturing systems. By utilizing this framework not only the explanation of such techniques can be structured appropriately but also a form of guidance for GenAI-driven information processing can be provided. Illustrated by the use case of a high-volume automotive production line, we demonstrate the feasibility of the framework as we streamline the description of two different validation techniques. In doing so, the application of the framework to support the information processing capabilities of GenAI-driven services is discussed.