The original title is "PIVOT Explained — From Paper to Working Code in 10 Minutes"

Short summary

PIVOT is a training-free technique that speeds up the indexer in Dynamic Sparse Attention by grouping adjacent queries that share ~90% of top-k token selections. One proxy scan per group replaces g individual scans, reducing indexer cost from O(L²) to O(L²/g). On DeepSeek-V3.2 and GLM-5.1 it achieves 4× indexer speedup and 1.6× end-to-end latency reduction.

• •Adjacent queries share ~90% of top-k selections; PIVOT exploits this with grouped proxy scans
• •Two modes: PIVOT-Reuse (max speed) and PIVOT-Refine (matches dense indexer accuracy)
• •4× indexer speedup, 1.6× end-to-end latency reduction; training-free, plug-in at inference

Generated with AI, which can make mistakes.