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Paper Citation Record · LEDGER

An empirical study of LLaMA3 quantization: from LLMs to MLLMs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2404.14047.

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

pith.paper-citation-record.v1
2404.14047 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:40:10.042669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T15:21:32.952985Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 33dd625c-c675-4d22-8cea-4a9d2ed5b8e8 · inbound

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation cites this paper.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 2025

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no resolver link, observed 2026-08-12T05:20:23.854592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.854592Z digest=sha256:84f3781ee759a9773d6b8e08869179314ae8f82b33b03dd43142f68ef01c6eaf

Observation 6d2d2f04-d15b-4a57-a57b-346490bd0986 · inbound

RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy cites this paper.

RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 27

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no resolver link, observed 2026-08-12T04:44:02.118713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:44:02.118713Z digest=sha256:fd961b6265d9e04c6af931d25409e6a9d83faf70f4e6795b079e70dbe93ae79f

Observation b1c784de-e162-473f-9ec9-903ee73b4133 · inbound

BiDM: Pushing the Limit of Quantization for Diffusion Models cites this paper.

BiDM: Pushing the Limit of Quantization for Diffusion Models An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 21

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no resolver link, observed 2026-08-11T20:18:10.446591Z

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Unavailable: canonical work link unavailable.

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Observation cf19a336-786d-4ff3-83ec-1f7202f2d6fd · inbound

Adaptive Pruning for Large Language Models with Structural Importance Awareness cites this paper.

Adaptive Pruning for Large Language Models with Structural Importance Awareness An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 38

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no resolver link, observed 2026-08-11T11:40:41.631116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00d4abb3-b6cf-4cf4-a972-bb39e9521d85 · inbound

Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models cites this paper.

Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 15

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no resolver link, observed 2026-08-10T22:25:14.317038Z

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Unavailable: canonical work link unavailable.

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Observation 57f22c50-b4d6-46e1-830b-4e8fe951f8e6 · inbound

PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks cites this paper.

PICE: A Semantic-Driven Progressive Inference System for LLM Serving in Cloud-Edge Networks An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 41

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no resolver link, observed 2026-08-10T20:13:43.269901Z

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Unavailable: canonical work link unavailable.

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Observation 90283f29-66c3-44f4-a200-ab0eb405b06c · inbound

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models cites this paper.

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 12

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no resolver link, observed 2026-08-10T00:33:43.920815Z

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Unavailable: canonical work link unavailable.

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Observation c910afb3-1899-417f-83bc-5e91d4d1ea37 · inbound

Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations cites this paper.

Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 28

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no resolver link, observed 2026-08-07T14:16:06.276065Z

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Unavailable: canonical work link unavailable.

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Observation a97850eb-c6ce-4c54-9021-407c34326727 · inbound

Adversarial Attack Classification and Robustness Testing for Large Language Models for Code cites this paper.

Adversarial Attack Classification and Robustness Testing for Large Language Models for Code An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 22

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no resolver link, observed 2026-08-07T05:28:47.223419Z

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Unavailable: canonical work link unavailable.

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Observation ff108ff0-6375-45d3-9dbf-f659eb77a04a · inbound

BiVM: Accurate Binarized Neural Network for Efficient Video Matting cites this paper.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 38

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no resolver link, observed 2026-08-06T19:54:30.213472Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:30.213472Z digest=sha256:e05993f73a20790acb5050d964ed2425313816a0b7af4309007cfcf31dbf78f4

Observation ab3d7209-9570-48b5-a439-5a0d8cf8fc79 · inbound

any4: Learned 4-bit Numeric Representation for LLMs cites this paper.

any4: Learned 4-bit Numeric Representation for LLMs An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 22

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no resolver link, observed 2026-08-06T19:51:09.235387Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:51:09.235387Z digest=sha256:8c483614faea2af28ad7f250aaddc5d564e1f2b9e1676ada8c4441e432e9fb5d

Observation 0ff32a1e-ca3d-440a-b8a0-0580963e4804 · inbound

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning cites this paper.

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:21:32.956051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T15:19:30.609974Z digest=sha256:898c0e913e9854c0fe58d0809b81e063f126657a3411f150c5b9f10aeef540d1

Observation 0e2b0900-9e77-4e6f-93f7-784790ede741 · inbound

MoEITS: A Green AI approach for simplifying MoE-LLMs cites this paper.

MoEITS: A Green AI approach for simplifying MoE-LLMs An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:15:59.912350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 219563a8-150e-454c-94ce-b71ae7812f98 · inbound

Hidden Language Consistency Phenomena in Reasoning LLMs cites this paper.

Hidden Language Consistency Phenomena in Reasoning LLMs An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 212

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no resolver link, observed 2026-08-14T04:40:10.042669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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