TConstFormer claims O(1) amortized attention via periodic recompression, but its own equations imply average per-token cost grows linearly with stream length because recompression recurs.
Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information, September
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From TLinFormer to TConstFormer: The Leap to Constant-Time Transformer Attention: Achieving O(1) Computation and O(1) KV Cache during Autoregressive Inference
TConstFormer claims O(1) amortized attention via periodic recompression, but its own equations imply average per-token cost grows linearly with stream length because recompression recurs.