Paper Citation Record · LEDGER

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models

As of 19 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2506.19697.

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

pith.paper-citation-record.v1
2506.19697 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:36:04.327416Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:04:14.900791Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:46:04.847216Z

Reference resolution

70 of 70 outbound references displayed

verified exact1
verified fuzzy3
unresolved66
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b65b8b8-2f66-4185-8ad9-b67de9da4779 · outbound

This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 1

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Source-reported events for the cited work

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Observation 81c310f7-1b1a-4d20-925a-0079fe52616c · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 2

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Observation f2bcbefe-e207-4509-8608-902b5b2445ad · outbound

This paper cites Croci, Marcelo Gennari do Nascimento, Torsten Hoefler, and James Hensman.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Croci, Marcelo Gennari do Nascimento, Torsten Hoefler, and James Hensman

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:36:05.451398Z

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Observation d21779f4-7c48-4e6c-96a2-6fdcc16e5830 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 4

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Observation a8e8b697-7a5a-45df-a2fb-feedc87d574f · outbound

This paper cites Qwen Technical Report.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Qwen Technical Report

Reference 5

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Observation 728f8fc5-3d0e-4969-8f6c-02771a0c3626 · outbound

This paper cites Why do LLMs attend to the first token?.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Why do LLMs attend to the first token?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:03.958061Z

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Observation e3e79822-2eea-4b0a-95dc-96b90e14eb3b · outbound

This paper cites Stable LM 2 1.6B Technical Report.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Stable LM 2 1.6B Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:03.965294Z

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Observation 68e97bec-a666-423c-a9c9-05765337d156 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 8

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Observation 73cc3440-e0de-43e7-b254-d8501c99a660 · outbound

This paper cites Modular Duality in Deep Learning.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Modular Duality in Deep Learning

Reference 9

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Observation ed4bf963-ecd2-449b-bc14-06c6c00a7e6f · outbound

This paper cites Old Optimizer, New Norm: An Anthology.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Old Optimizer, New Norm: An Anthology

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:03.981896Z

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Observation b0a9cc88-9601-4a8a-8260-438dabc5f588 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 11

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Observation 88d71ad2-977f-4ff1-8a6e-f51f849d081a · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 12

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Observation 5e689e36-eb04-4feb-afde-42c1fbdceeee · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 13

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 14

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Observation 3450e73f-8ebf-4de7-bfa8-af7296ecdac4 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 15

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Observation fc6b482b-2542-43d9-b69a-668d20399925 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 16

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Observation d40b9fea-78f1-498a-8275-a9ae69e17190 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:36:05.352198Z

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Observation 8a58d41a-9098-42cb-89ab-0ba8579d5c6a · outbound

This paper cites EfficientQAT: Efficient Quantization-Aware Training for Large Language Models.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

Reference 18

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Observation 920da0cb-01c1-4742-87b7-0423c9ac872f · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:04.043337Z

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Observation 6e09c3d8-965e-49a9-8c36-444f0252a5ca · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:04.049093Z

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Observation 4b2d89cc-937a-48bd-965a-2e6979ded353 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T18:36:04.055640Z

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Observation 303559b7-5c05-47d9-9dce-ded671794dbe · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 22

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Observation 807d3e24-4684-4308-922b-4e4632fe61d9 · outbound

This paper cites The Llama 3 Herd of Models.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models The Llama 3 Herd of Models

Reference 23

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Observation 252bdf39-286e-496c-a252-eb6e530ebd05 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 24

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Observation ae11edcc-d722-43ed-863e-94f47c54bfa1 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 25

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Observation 04f8ce21-1e63-42ca-8694-6f878d089d12 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 26

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Observation 3121996d-8c65-4b1c-bc77-75486c9489c6 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 27

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Observation 8ce998ad-951b-4d9f-90e4-5744c7c98a26 · outbound

This paper cites an unresolved cited work.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 28

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Observation aefffdbe-a479-4736-b1c2-ef40f138775f · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs

Reference 29

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 30

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Observation 3571effc-8076-483f-ba22-79e5e8af4ad7 · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 31

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 32

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Observation 1e2d2cd8-6795-40b6-995a-aa97c7a20c6d · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 33

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 34

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Observation d1fd153a-2160-403f-a26e-322a331d90f8 · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Mahoney, and Kurt Keutzer

Reference 37

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Observation c8583787-1f40-4ae8-9cdf-a864bd586497 · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models StarCoder: may the source be with you!

Reference 39

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models SpinQuant: LLM quantization with learned rotations

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Pointer Sentinel Mixture Models

Reference 46

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

Reference 48

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models u nther Schulz. 1933. Iterative berechung der reziproken matrix. ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift f \

Reference 52

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Observation 55259dd1-306c-4743-9bcd-2e8094be5781 · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

Reference 53

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Observation 2e1d3a8a-d15c-409d-bba9-fc01f777ec28 · outbound

This paper cites Massive Activations in Large Language Models.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Massive Activations in Large Language Models

Reference 54

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Observation 24ac61fd-df23-4832-9290-6314dad64bfe · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 56

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Observation aa9f4a51-81c9-490d-afa8-348f13aba5e9 · outbound

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Observation 6c50cc3f-75dc-46c5-9c5e-1e7906589fd3 · outbound

This paper cites SOAP: Improving and Stabilizing Shampoo using Adam.

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models SOAP: Improving and Stabilizing Shampoo using Adam

Reference 58

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Unresolved cited work

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training

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Reference 66

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models TinyLlama: An Open-Source Small Language Model

Reference 67

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models OPT: Open Pre-trained Transformer Language Models

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Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models online" 'onlinestring :=

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LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models

Reference 96

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