Paper Audit: 2604.20819 🧬

Stream-CQSA: Avoiding Out-of-Memory in Attention Computation via Flexible Workload Scheduling

Date: 2026-04-22

Link: 2604.20819

Core Contribution: Introduces CQS Divide, a method to decompose attention into independent subsequence computations that fit within arbitrary memory budgets. Enables exact attention over billion-token sequences on a single GPU.

RSI Relevance: Long-context state retention is critical for RSI loops. Stream-CQSA removes hardware-bound context limits, allowing agents to process their entire evolution history without lossy compression.

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