Application to 3D dataset

Hello,
I am interested in applying the GNS approach to my dataset. Specifically, I intend to use ceramic fragments as nodes to predict the location of the fragments after the ceramic is impacted. However, after expanding my test dataset to 3D, I am having a bit of a problem with the dimensionality of the boundary distances, and the boundaries are never dimensionally aligned with the most_recent_position.
Can you suggest how best to modify the current framework to accommodate the 3D dataset? Any guidance or advice would be appreciated.

The issue names no files, tests, or entry points to start from. Clarify how boundary distances and most_recent_position are represented in the current framework, identify the required 3D behavior, and define a test or example dataset that demonstrates dimensional alignment.

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