# How to Loop Your Transformer: Loop Scaling, Specialization, and Parallel Inference

Source: https://arxiv.org/abs/2610.40325
Published: 2026-10-29
Status: unreviewed source report

## Source excerpt (up to 25 words)

> Looping in transformer models reuses weights by repeatedly applying the same transformer, or parts of it, making the model deeper without increasing its parameter count.

## Review question

Match hardware, precision, sequence length, concurrency and output quality. Report p50/p95 latency and total accepted-task cost, not only a peak throughput number.

No independent proof check or claim of peer review.