A picture's coordinates can be partly read back out of TerraMind's internal representation by training small probe models on its frozen features. How easily that works with a simple linear probe depends on model size: in the small variants the information is present but tangled, so a non-linear probe is needed to reach it, while the bigger models lay it out more plainly. Ridge regression's average latitude error drops from about 1092 km on the Tiny model to 550 km on the Large one.
Evidence
correlational
Key metric
mean latitude error 1092 km (Tiny) to 550 km (Large), Ridge regression