pith:A7V2254Y
Lever: Speculative LLM Inference on Smartphones
Lever reduces smartphone LLM inference latency by 2.93x over flash baselines through optimized speculative decoding.
arxiv:2605.16786 v1 · 2026-05-16 · cs.LG
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Claims
Lever reduces inference latency by an average of 2.93x over baseline flash-offloaded inference and 1.50x over conventional speculative decoding, narrowing the latency gap between flash-backed and memory-resident LLM inference.
The assumption that jointly optimizing token-tree construction with an I/O- and compute-aware gain-cost objective, early-exit pruning, and CPU-NPU mapping will deliver the claimed speedups under real smartphone I/O latency and parallelism constraints (stated in the abstract description of the three stages).
Lever optimizes the drafting, verification, and execution stages of speculative decoding for flash-backed LLM inference on smartphones, reporting 2.93x average latency reduction over baseline flash-offloaded inference.
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Receipt and verification
| First computed | 2026-05-20T00:03:21.936503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
07ebad77981f6c762da4e8cb6ee7b7dfeb5aa04bbd6b90890cba5937f281cb64
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A7V2254YD5WHMLNE5DFW5Z5X37 \
| jq -c '.canonical_record' \
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Canonical record JSON
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