Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
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Implementations have had to develop their own strategies for dealing with this. Firefox initially used a linked-list approach that led to O(n) memory growth proportional to the consumption rate difference. In Cloudflare Workers, we opted to implement a shared buffer model where backpressure is signaled by the slowest consumer rather than the fastest.