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pith:P6FOLOHK

pith:2026:P6FOLOHKQF3CJ63EFUGURZ5M5J
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ReSpinQuant: Efficient Layer-Wise LLM Quantization via Subspace Residual Rotation Approximation

Hyeonjin Kim, Hyunho Lee, Kyomin Hwang, Nojun Kwak, Sunghyun Wee, Suyoung Kim

ReSpinQuant approximates per-layer rotation matrices with residual subspaces so that layer-wise LLM quantization accuracy can be obtained at the speed of global rotation methods.

arxiv:2604.11080 v2 · 2026-04-13 · cs.CV · cs.AI

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Claims

C1strongest claim

ReSpinQuant resolves such overhead by leveraging offline activation rotation fusion and matching basis using efficient residual subspace rotation. This design reconciles the high expressivity of layer-wise adaptation with only negligible inference overhead.

C2weakest assumption

That the residual subspace rotation approximation can capture enough of the expressivity of full per-layer transformations to match their accuracy while still permitting complete offline fusion into the model weights.

C3one line summary

ReSpinQuant achieves state-of-the-art accuracy in W4A4 and W3A3 LLM quantization by using efficient residual subspace rotation approximations that match layer-wise performance while retaining the inference speed of global rotation methods.

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First computed 2026-05-29T01:05:09.286260Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7f8ae5b8ea817624fb642d0d48e7acea6ba25439de903ad1f0ad9a957fcb0c23

Aliases

arxiv: 2604.11080 · arxiv_version: 2604.11080v2 · doi: 10.48550/arxiv.2604.11080 · pith_short_12: P6FOLOHKQF3C · pith_short_16: P6FOLOHKQF3CJ63E · pith_short_8: P6FOLOHK
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/P6FOLOHKQF3CJ63EFUGURZ5M5J \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7f8ae5b8ea817624fb642d0d48e7acea6ba25439de903ad1f0ad9a957fcb0c23
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-04-13T07:00:26Z",
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