GPU compression needs both dense complete frames and inexpensive checked recovery. We compare three causal representations under the same 512-row model budget, select before encoding one payload, and align entropy states with causal byte banks. Same-lane and residual banks decode concurrently; high-first banks decode in causal order. On ten reused structured/electrophysiology inputs, split-bank execution lowers aggregate median encode-plus-recovery time 13.10% for 0.18% more frame bytes. A separate twelve-configuration GPU comparison places it on the measured median frontier: 5.75% and 7.11% smaller frames than transformed nvCOMP Zstd at 35.14/19.03% lower paired cost for 64/8 KiB requests. A matched native-CPU model control isolates a 44.16% reduction in complete encoding cost; a CUDA-free CPU receiver restores the same frames. Three whole EEG recordings retain a separate Zstd-1--16 curve, while fixed ECG fixtures expose transformed-Zstd counterexamples. Model overhead, concentrated gains, technical ranges and adverse outcomes bound these operating points. ANS interleaving and transforms are established; reused inputs, unequal resources and fixed controls do not establish codec optima or population superiority.

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