Published on April 19, 2026, the article presents a construction in which transformers with specific weights, placed in a loop, can emulate basic computation blocks using a constant number of encoder layers.
Published on April 19, 2026, the article presents a structure that programs transformer networks with specific weights and places them in a loop. It shows how a constant number of encoder layers can emulate basic computation blocks.
The work offers a construction for understanding how transformers in a loop can implement programmable computation. To check the result, consult the original article and examine the construction and conditions presented by its authors; the available summary does not detail those conditions.