QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks | Paper Citation Record

Observation 28701e4b-a19a-4ee3-8cbf-e3743c6ad444 · inbound

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits cites this paper.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:11:43.597896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9f02f46-12f3-4abb-b454-9281721a0e04 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 216

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.271712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6952bc00-5e45-44c9-bd43-e9a65c78c65e · inbound

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision cites this paper.

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:45:36.456215Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b18d4993-1044-44d9-a6ac-83d11e28ebb1 · inbound

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models cites this paper.

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T23:03:44.677581Z

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Observation 8f1435f5-aada-4861-9453-291e952d78cf · inbound

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study cites this paper.

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:40.665688Z

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Observation abf25eb5-8f0d-4593-965a-6a9964b135d3 · inbound

FPTQuant: Function-Preserving Transforms for LLM Quantization cites this paper.

FPTQuant: Function-Preserving Transforms for LLM Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T10:43:47.223987Z

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Observation f9803ddb-fe65-4a43-a073-ffdc263e8117 · inbound

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling cites this paper.

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.017031Z

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Observation 653af550-633e-4c12-99bf-49198969a537 · inbound

LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation cites this paper.

LCD: Advancing Extreme Low-Bit Clustering for Large Language Models via Knowledge Distillation QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:09.141264Z

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Unavailable: canonical work link unavailable.

Observation fa5f84dc-5fa2-48b3-b38d-220288c5e4af · inbound

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook cites this paper.

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:07:20.504672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76718352-586f-4a20-830d-36091d474f31 · inbound

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models cites this paper.

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:24.880486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 844df51a-8dcc-4883-97e2-cff04b4e25a6 · inbound

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs cites this paper.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.104514Z

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Observation b468cf42-94a4-4060-b90c-7ff0b58c9d84 · inbound

Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos cites this paper.

Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:52:53.059020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc2d4450-97ef-4fca-ad2c-fd26dad50cbd · inbound

From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models cites this paper.

From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T18:28:19.977137Z

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Observation 334fd9c3-d10f-459a-86ea-b26c2e77af96 · inbound

High-Rate Quantized Matrix Multiplication I cites this paper.

High-Rate Quantized Matrix Multiplication I QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:20:53.235633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4b4a7bf-04bf-43f8-9125-e543a17f50a8 · inbound

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference cites this paper.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T06:01:15.959552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b21c0b-812c-4736-98e7-520c6166b220 · inbound

Price of metric universality in vector quantization is at most 0.11 bit cites this paper.

Price of metric universality in vector quantization is at most 0.11 bit QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.337679Z

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Unavailable: canonical work link unavailable.

Observation 5850f303-8b23-4b49-8c14-9523306ebce5 · inbound

Leech Lattice Vector Quantization for Efficient LLM Compression cites this paper.

Leech Lattice Vector Quantization for Efficient LLM Compression QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T23:10:46.775151Z

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Unavailable: canonical work link unavailable.

Observation 979a4726-743f-460c-995d-f138547b3c09 · inbound

Rethinking Residual Errors in Compensation-based LLM Quantization cites this paper.

Rethinking Residual Errors in Compensation-based LLM Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:21:01.232262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a82fc49e-4cc3-4433-a214-14351a05f5a7 · inbound

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization cites this paper.

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:01:13.345365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c84b740-b831-4017-9c08-7a1429a8d62b · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:41:02.529038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ded0d6f2-9429-4b4d-9d74-40da99bc914d · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:02:42.158526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7faa9924-73d0-49a2-ab8e-b55ec9c3b411 · inbound

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization cites this paper.

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T02:38:17.179684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d90fc254-7403-4cc7-9e95-459904760672 · inbound

Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales cites this paper.

Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:04.520977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65084898-a928-49f3-8b7d-d021bd7234ed · inbound

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment cites this paper.

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:43.051795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1277e456-2dab-422e-8fe1-41b5f467ee08 · inbound

When Quantization Is Free: An int4 KV Cache That Outruns fp16 on Apple Silicon cites this paper.

When Quantization Is Free: An int4 KV Cache That Outruns fp16 on Apple Silicon QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:14.373234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e74c1b17-4971-445f-9e69-2044a2204c1e · inbound

Search Your Block Floating Point Scales! cites this paper.

Search Your Block Floating Point Scales! QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:02:24.139246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa5e0692-584d-4ebb-a1c8-c1a8e06a9df5 · inbound

High-Rate Quantized Matrix Multiplication II cites this paper.

High-Rate Quantized Matrix Multiplication II QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:32:52.654039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e2d83e8-3f0b-4d30-a204-174f4a9231be · inbound

High-Rate Quantized Matrix Multiplication II cites this paper.

High-Rate Quantized Matrix Multiplication II QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.991846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 69e0ff21-96d9-40f6-a763-1e2993afd757 · inbound

XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM Inference cites this paper.

XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM Inference QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:35:04.699300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7afb0a30-8a77-4ba0-ba68-76932eac5c88 · inbound

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets cites this paper.

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:28:16.800354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c711e35-6b5a-40c7-aeaa-e3055fc33baa · inbound

Theory-optimal Quantization Based on Flatness cites this paper.

Theory-optimal Quantization Based on Flatness QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:39:10.010380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66a62db8-dd20-40f8-84a5-1e764908bff2 · inbound

Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU cites this paper.

Llamas on the Web: Memory-Efficient, Performance-Portable, and Multi-Precision LLM Inference with WebGPU QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:53:55.288364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a056b76-2bae-4243-beaf-d2045c7cc745 · inbound

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs cites this paper.

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.854470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a922941e-80d6-4ce0-b902-4094c5e34ef0 · inbound

MGVQ: Synergizing Multi-dimensional Sensitivity-Aware and Gradient-Hessian Fusion for Vector Quantization cites this paper.

MGVQ: Synergizing Multi-dimensional Sensitivity-Aware and Gradient-Hessian Fusion for Vector Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:05:48.338378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a829676f-80bb-44d5-9680-467e235be0fc · inbound

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture cites this paper.

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:44:45.610682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c625abbc-a448-4950-a656-559e37105655 · inbound

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization cites this paper.

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:14:39.052951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66a62b39-59be-4d24-821d-bb8eb1562754 · inbound

Quantized Reasoning Models Think They Need to Think Longer, but They Do Not cites this paper.

Quantized Reasoning Models Think They Need to Think Longer, but They Do Not QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:16:00.108641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c13b1c42-78a6-46b0-958b-7e8ed3a4b80c · inbound

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation cites this paper.

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.620068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c9ce07cf-3804-46ab-85a5-3a24dc1b8fa8 · inbound

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models cites this paper.

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.668492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bde79f78-77dc-4e2e-b4b9-1ee44d2b52f9 · inbound

Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference cites this paper.

Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:15.982040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3d7e18c-cfd3-49cb-8c9a-7aed78fa2441 · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:26.980422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d37ff3ed-95ea-4597-a431-61d0017580b9 · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:24:38.273775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24c04631-cb20-4438-892f-108233728ee6 · inbound

Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models cites this paper.

Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:48.288085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93ff78ee-bb36-434a-b4af-36eaf89af560 · inbound

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models cites this paper.

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:06:55.577768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c0132601-3a29-4c84-96e1-d0977ae20abc · inbound

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models cites this paper.

FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T12:23:13.879878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b88107-7b85-4d66-a397-62ab0c9862d1 · inbound

HyperQuant: A Rate-Distortion-Optimal Quantization Pipeline for Large Language and Diffusion Models cites this paper.

HyperQuant: A Rate-Distortion-Optimal Quantization Pipeline for Large Language and Diffusion Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.532847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f57c8e7-0ff3-4570-96ce-312bc4869769 · inbound

GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation cites this paper.

GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:39:45.441374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 75cbd6cf-71ce-45fd-bc84-c577b9e28297 · inbound

Reliability Scaling Laws for Quantized Large Language Models cites this paper.

Reliability Scaling Laws for Quantized Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 160

Resolution: unresolved; no resolver link, observed 2026-07-14T08:45:52.855783Z

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Observation 6f7f2d25-95d6-4df6-a7d3-18d90b9d3ac6 · inbound

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models cites this paper.

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:43.851034Z

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Observation 0d47cdbc-5d5d-4238-836f-77290468ea3e · inbound

Break Through the Compression Bottleneck: From Theory to Practice cites this paper.

Break Through the Compression Bottleneck: From Theory to Practice QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T14:29:28.509827Z

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Observation 829af20d-2a27-471e-a618-badf62ddb760 · inbound

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference cites this paper.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.341483Z

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Observation 34d4b659-a33f-4912-8ed3-172af34aa219 · inbound

GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference cites this paper.

GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T03:16:46.931878Z

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Observation c2ee7334-ce78-4440-80e0-3553412fa3c8 · inbound

TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning cites this paper.

TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T21:59:39.992784Z

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