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Adaptive depth ·
LoopFormer
LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation
Conditions shared computation on time and step size to support elastic inference budgets.
Inside the method
h(t) → F(t, Δt) → h(t+Δt)
Simplified conceptual schematic. Consult the paper for the complete architecture.
- Recurrence family
- Adaptive depth
- Depth control
- Budget-conditioned depth
- KV / state strategy
- See implementation
Reading note
Adjustable budgets are distinct from automatically deciding when every token should stop.
Sources checked 2026-09-15. This catalog does not imply independent reproduction.
Cite this work
@misc{loopformer2026,
title = {LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation},
author = {Ahmadreza Jeddi and Marco Ciccone and Babak Taati},
year = {2026},
eprint = {2602.11451},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2602.11451}
}