Status: IN
The canonical pipeline's preprocessing phase functions as a domain adapter: it converts problems from domains where streaming alone may be insufficient (such as ordering-dependent or frequency-queried problems) into a form where single-traversal accumulation can produce correct results. This suggests that many non-streaming solutions can be understood as streaming with a preprocessing step prepended, since the single-traversal accumulation paradigm appears universal across data structures.
Traversal-accumulation is universal across data structures including preprocessed ones; reframing preprocessing as a domain adapter into streaming's input space reveals streaming as the sole computational paradigm
Depends on (SL): traversal-accumulation-universal-across-data-structures, preprocess-then-stream-is-canonical-pipeline