Parallel Samplers for Recurrent-Depth Models

Summary

Parallel Samplers for Recurrent-Depth Models tracks the inference method for recurrent-depth models that borrows diffusion-style parallel refinement ideas.

Role In The Wiki

Use this page as the object card for the model or method. The source page carries the evidence details, limitations, and agenda mapping.

Relation To Foundation TSFM Agenda

Use the source-level agenda mapping in parallel-samplers-recurrent-depth-2025 rather than duplicating verdict rows here. At the entity level, this page should stay as the object card; source pages carry slot-level evidence, limitations, and missing pieces.

Evidence

• Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models

Official Artifacts

• Official code: seal-rg/recurrent-pretraining

Related Pages

• Looped Transformers And Test-Time Memory
• Efficient Recurrent Sequence Models
• Time-Series Scaling And Efficiency