RAMP: Recurrent Adaptive Mixed Precision for Efficient Prefill in Recurrent-Depth Language Models

cs.CL

Submitted: 2026-10-09

Updated: 2026-10-09

Comments: 16 pages, 3 figures, 6 tables. Preprint

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Universal Transformers
• LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation
• Attention Routing Stabilizes Early: Working-Set Inference for Recurrent Language Models
• Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models

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