Paper Citation Record · LEDGER

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization

As of 10 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 2 inbound Pith citation observations for arXiv:2502.00425.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.00425 v2

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:12:56.348650Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:10.222780Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T05:56:57.204200Z

Reference resolution

77 of 77 outbound references displayed

verified exact2
verified fuzzy2
unresolved71
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2daf3094-845c-4152-910e-9c8fbf51f995 · outbound

This paper cites GPT-4 Technical Report.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.927472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9be4911-b6aa-467b-b298-088aab2e7ca1 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.934558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44de03e5-2cc3-4ffa-becb-77bddea7403c · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-09T19:12:57.340018Z

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 a5ab16be-8b58-4a6b-a631-d753a357e1f9 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.951737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ffce20a-3cad-41e2-91f6-ec3b539964dc · outbound

This paper cites Layer Normalization.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Layer Normalization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.957139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89533018-7e46-4a1d-afde-595b9a7e96ee · outbound

This paper cites Qwen Technical Report.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Qwen Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.963899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 029b4c7b-c331-4f25-85ff-bb0d25309804 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.969623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58f32bfa-9b90-465c-a37b-2b384a8daf30 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.899266Z

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 c7e1dae3-13f8-4a3e-9000-9f68b75903d6 · outbound

This paper cites InternLM2 Technical Report.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization InternLM2 Technical Report

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.980598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02763362-e61e-445b-9982-f8f81d3b4d91 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.882874Z

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 ba230538-e1fb-4c90-b930-adf7fbce2470 · outbound

This paper cites PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:55.993125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1697526-e09c-412b-9a3f-f85d845d8f60 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.865021Z

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 99df1cc0-6ebb-4d93-9d86-e809a6df7b68 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.005094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0f7760-11bc-497c-a06e-3fa132609750 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.848767Z

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 aa2a3590-2c30-471d-98fd-e6aeedea36a6 · outbound

This paper cites MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.016864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363334eb-d2d6-4cc4-8547-943c07312a72 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.023020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa969e4-2a2d-48dc-8ace-bc74ffcbf6fe · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.820458Z

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 630fd916-6482-4eea-917b-4de699849606 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.803748Z

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 61a245a9-59a2-4e2f-8bec-6a6d146938bd · outbound

This paper cites The Llama 3 Herd of Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization The Llama 3 Herd of Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.038249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c804ed-7ef2-436a-b6ec-f9c8d2fd4327 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.043994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06303508-1a44-488a-b0ad-b0255b68d74f · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.784977Z

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 7d4144d1-0ebb-4ed0-921d-97e523b9783b · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.059125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5152635-448a-4b1e-884c-1d77e25ade10 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization CogVLM2: Visual Language Models for Image and Video Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.065018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b074bcbd-16d8-4914-90b7-c9b5277c94bd · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.071696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c4d1a8-c958-497c-b69a-e086544699da · outbound

This paper cites I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.076730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a559fc8b-f7ee-40ab-b741-7b5fc3d2db5f · outbound

This paper cites OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.082348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50d47b3-2e77-4a3d-b1d7-b4a0329f3a3f · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.769024Z

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 3cb1068d-447c-4628-a519-d41240bad3f1 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.092969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3ca0b9-7c0b-44c0-b18d-6e2f85ffb9d9 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.752535Z

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 6e410a32-450f-46b8-b06d-74ee87746283 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.734329Z

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 b61e26c3-60b9-4553-a999-96577eef3cc1 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.718127Z

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 2b2b9adc-cc39-43be-adae-207ac90fcf55 · outbound

This paper cites FPTQ: Fine-grained Post-Training Quantization for Large Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization FPTQ: Fine-grained Post-Training Quantization for Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.120257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971193db-648e-40ad-b0ba-7647087223c3 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.125714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f377a5c5-f023-42c5-85ca-16c6717296c1 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.137001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4813124c-3f8c-455a-8e54-b6dd583169f7 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.142561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 453c0f89-57f2-4010-8560-25e5c6313956 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.678244Z

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 ed410a1c-caa0-4802-9fcd-db2d6b9c6bf6 · outbound

This paper cites MBQ: Modality-Balanced Quantization for Large Vision-Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization MBQ: Modality-Balanced Quantization for Large Vision-Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.131001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8b6ad0d-0aec-4959-8e67-878f9942febe · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.660875Z

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 c0f4903f-50e0-49d7-86d4-c7ec1b2eb7e9 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.644201Z

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 5f60c7dc-f273-4dcc-9b40-b7de0ce1241f · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.147519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905f7cae-6fc2-4898-9851-fbcdda6e49d9 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.181174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590e49de-e3cf-485f-bd14-6278ba43617a · outbound

This paper cites OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.159861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508c67dd-7167-4f07-9d18-7a0c5b760fef · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.616123Z

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 d05b86b1-038e-4ddc-9dcb-df2c1d231010 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.196987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c17d0282-b6c0-4a7e-a913-a9d90599af8a · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.176128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2efadb81-16cf-44e5-8a83-a349751dd03f · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.596537Z

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 e2fac336-d9b6-499e-ae36-8b74db5b251e · outbound

This paper cites OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.186314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a247f592-9e6d-43f8-a32d-c0c5d038e0fc · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.218557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e722eb0c-1b0b-45d9-b475-7698ed660dcd · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.576853Z

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 ef96afa8-2e41-47f1-810e-ab31e5b2c0a4 · outbound

This paper cites MobileQuant: Mobile-friendly Quantization for On-device Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization MobileQuant: Mobile-friendly Quantization for On-device Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.203006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 615d1bcd-4ad2-46e6-aae6-c4667688085b · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.545055Z

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 9ed0e00c-fe41-461d-b9b2-3750bca19c02 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization LLaMA: Open and Efficient Foundation Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.213249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 255b3b4f-9f35-4f6c-8fc1-341bcef9839a · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization CogVLM: Visual Expert for Pretrained Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T19:12:56.249039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc81d617-1f21-4d39-851f-96527ccc4e28 · outbound

This paper cites an unresolved cited work.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:12:57.506980Z

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Reference 58

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MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

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Reference 70

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MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More

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MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 78

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MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization NeurIPS 35 (2022), 23716–23736

Reference 2022

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MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

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MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization PTQ4RIS: Post-Training Quantization for Referring Image Segmentation

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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization

Reference 68

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Reference 88

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