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TreeWY: Speculative Verification for Gated DeltaNet Hybrids

Research Efficiency & Systems

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TL;DR - TreeWY is a speculative-verification method for Gated DeltaNet hybrid models that eliminates per-draft-node recurrent-state snapshots. It reduces memory pressure during serving, enabling higher throughput, lower time-to-first-token, or wider draft trees when memory is the bottleneck.

  • Uses a tree-structured WY transform and a single triangular solve to compute outputs for all draft nodes.
  • Stores a compact pseudo-value matrix and reconstructs only the accepted recurrent state at commit time.
  • Benchmarks on Qwen3.5 35B and 397B show reduced recurrent-state memory and KV-cache pressure at unchanged acceptance length.
  • Wider, higher-acceptance draft trees become memory-affordable, though they do not yet improve throughput; non-memory-bound cases incur a few percent overhead.

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TreeWY: Speculative Verification for Gated DeltaNet Hybrids

arXiv cs.AI Sneha Murthy Ghantasala 2026-08-21 arXiv:2608.20961
Public signals Semantic Scholar citations 0 · Semantic Scholar influential citations 0
Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · Citations 0 · Influential citations 0 X · N/A Fetched 2026-09-17 14:29:54.762036 UTC

TL;DR - TreeWY is a speculative-verification method for Gated DeltaNet hybrid models that eliminates per-draft-node recurrent-state snapshots. It reduces memory pressure during serving, enabling higher throughput, lower time-to-first-token, or wider draft trees when memory is the bottleneck.

  • Uses a tree-structured WY transform and a single triangular solve to compute outputs for all draft nodes.
  • Stores a compact pseudo-value matrix and reconstructs only the accepted recurrent state at commit time.
  • Benchmarks on Qwen3.5 35B and 397B show reduced recurrent-state memory and KV-cache pressure at unchanged acceptance length.
  • Wider, higher-acceptance draft trees become memory-affordable, though they do not yet improve throughput; non-memory-bound cases incur a few percent overhead.
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