AI RESEARCH
Rethinking the Role of Positional Encoding: Sliding-Window Transformers without PE Remain Turing Complete
arXiv CS.LG
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ArXi:2606.01532v1 Announce Type: new Positional encoding (PE) is widely viewed as necessary for transformers to process ordered sequences: without them, the next-token map appears permutation-invariant in its context tokens. This intuition underlies all prior universality results, which rely on positional information to prove that transformers with chain-of-thought can perform arbitrary computation, i.e., they are Turing complete. We revisit this belief in the regime most relevant to long-form reasoning, where generation proceeds through a finite sliding context window.