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pith:2026:S2CIEKD675BYDJXVUTODXMWKGQ
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MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration

Bei Li, Bo Jin, Chenglong Wang, Chunyang Xiao, Jingbo Zhu, Junhao Ruan, Pengcheng Huang, Runsong Zhao, Tong Xiao, Xin Liu, Xinyu Liu

MemoSight unifies context compression and multi-token prediction with one minimalist special-token design for faster chain-of-thought reasoning.

arxiv:2604.14889 v2 · 2026-04-16 · cs.AI

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Claims

C1strongest claim

Our framework adopts the same minimalist design for both context compression and multi-token prediction via special tokens and their corresponding position layout tailored to each token type. Comprehensive experiments on four reasoning benchmarks demonstrate that MemoSight reduces the KV cache footprint by up to 66% and accelerates inference by 1.56x, while outperforming existing CoT compression methods.

C2weakest assumption

That the minimalist special-token design with tailored position layouts can simultaneously handle context compression and multi-token prediction without degrading the underlying chain-of-thought reasoning quality or introducing new failure modes.

C3one line summary

MemoSight unifies context compression and multi-token prediction via special tokens and tailored position layouts to reduce KV cache by up to 66% and accelerate inference by 1.56x while outperforming prior CoT compression methods on reasoning benchmarks.

Receipt and verification
First computed 2026-05-29T01:05:09.888852Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

968482287eff4381a6f5a4dc3bb2ca3402cda36088d3ee91f67af6b3a1cce076

Aliases

arxiv: 2604.14889 · arxiv_version: 2604.14889v2 · doi: 10.48550/arxiv.2604.14889 · pith_short_12: S2CIEKD675BY · pith_short_16: S2CIEKD675BYDJXV · pith_short_8: S2CIEKD6
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/S2CIEKD675BYDJXVUTODXMWKGQ \
  | jq -c '.canonical_record' \
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Canonical record JSON
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