Paper Citation Record · LEDGER

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

As of 18 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 4 inbound Pith citation observations for arXiv:2504.16511.

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

pith.paper-citation-record.v1
2504.16511 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:07:15.189614Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:45:04.789254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.391752Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy1
unresolved59
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18113be9-a352-4253-9da4-c406b66c7660 · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.934745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53644dcf-6db3-41ef-899c-d7d36e6b8c89 · outbound

This paper cites Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.940766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1a1174-8a4a-4701-b098-4f978042910f · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.944819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c103f5ec-1966-4a95-8bed-7a6ff0ab299b · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.967105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e1db54a-4db0-466e-b923-a2b370876a0f · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.952639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa13d2ec-4e9f-47a3-ac44-1abcd9e1b42c · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.953433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 515475fb-f3ad-4856-8fe4-984fa26bf65a · outbound

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

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.960502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06875fb2-614c-4730-8895-81964ac991dc · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.941015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a6747e1-5539-4034-a383-98d4183db7cb · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.928837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bae800b3-9f38-430d-ab30-627b501f6c1c · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining DoGE: Domain Reweighting with Generalization Estimation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.972335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c583bee2-491e-476f-9152-7a08cf2b7f65 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.977220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d5d5b1a-3581-45e5-8fd2-dffb1a53d0ef · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.981495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42191d73-36c5-46a2-8906-9bdf5902a81a · outbound

This paper cites BiMix: A Bivariate Data Mixing Law for Language Model Pretraining.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.985726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8585257c-2f0b-41ba-950e-62b43148ab2f · outbound

This paper cites Data Selection via Optimal Control for Language Models.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Data Selection via Optimal Control for Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.990281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a251fb5-b23d-4742-af69-7a37871175d0 · outbound

This paper cites Textbooks Are All You Need.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Textbooks Are All You Need

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.994688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518af1e8-c7d3-49df-ae7b-fd6a8a23fd38 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:14.998885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 227da26c-ee52-41ce-8369-8c4e13b754e3 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.003738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d3be270-f7a4-4350-b558-1049e5ea7fa5 · outbound

This paper cites Scaling Laws and Interpretability of Learning from Repeated Data.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Scaling Laws and Interpretability of Learning from Repeated Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.010383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a38c3afa-f65d-414d-8415-9a5ff70e89f1 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.016235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3231b085-952b-4924-aa80-c1960fa82af7 · outbound

This paper cites https://github.com/NVIDIA/NeMo-Curator NeMo-Curator: a toolkit for data curation.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining https://github.com/NVIDIA/NeMo-Curator NeMo-Curator: a toolkit for data curation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:07:15.901942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac0648ef-c5bb-4f6a-80da-a611b2dd5e38 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06748844-227f-4e56-a1d0-fd44982a70e9 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.033350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 592da973-b2d3-4b95-bf78-42c75d0fc2ed · outbound

This paper cites Scaling Laws for Neural Language Models.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Scaling Laws for Neural Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.038483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b04539dc-8965-430e-a645-5af2e8867a3c · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.887730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb01819a-2dc8-4315-a467-5448f2036b0a · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.046668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d59d27a-d9f5-42a6-b07e-a98c20968b30 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.875861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 959392f4-954d-4c79-a6ee-f94b664e779e · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.055003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efba8946-9f2d-4e4d-bd65-2eb3c2c7a607 · outbound

This paper cites DataComp-LM: In search of the next generation of training sets for language models.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining DataComp-LM: In search of the next generation of training sets for language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.058757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b0a59f-8084-49cc-b4c9-555bdd345cc8 · outbound

This paper cites Rho-1: Not All Tokens Are What You Need.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Rho-1: Not All Tokens Are What You Need

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.062662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ea5e23-6343-4879-8bd5-5bdcc4785d38 · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.066525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d106167-c249-4804-8958-b8d32deb7558 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.070570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c594f9-ba2a-48e2-9a20-609bda0ae654 · outbound

This paper cites When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a44a1ece-457f-469a-adf6-0c6392be2950 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c218b1e-e5ef-42d6-80de-ffed2865bc0f · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.863865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8144be20-d2cb-42a5-8b67-3851fdd051bb · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff4f8c8-a7f0-419f-957f-8e80a027c3be · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.094718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc1d83b-a290-4f36-8938-9c5b8a9a59b6 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.850696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96195f1e-59e2-4380-b87a-8b138b1f40fd · outbound

This paper cites D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4196d29-ba01-4108-b793-afebda3cd471 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.106536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53d97daa-b63f-4413-9dc6-e5900e812450 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 40

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Unavailable: canonical work link unavailable.

Observation f9324099-b849-4562-bf63-7ae68ab4c3ed · outbound

This paper cites How to Train Data-Efficient LLMs.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining How to Train Data-Efficient LLMs

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec67987-421c-4e8f-821f-bde8968c86f5 · outbound

This paper cites Balanced Data Sampling for Language Model Training with Clustering.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Balanced Data Sampling for Language Model Training with Clustering

Reference 42

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Source-reported events for the cited work

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Observation e802ce7e-4647-4071-9ea1-e07ed36321d9 · outbound

This paper cites GLU Variants Improve Transformer.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining GLU Variants Improve Transformer

Reference 43

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Observation cce0c089-d6d5-4dbe-a44b-1cda77513f0c · outbound

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QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 44

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Unavailable: canonical work link unavailable.

Observation 66fc7ed9-934f-4f09-8446-f2e955029ff5 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec343f3-b789-4c59-b17d-43a7f8739bbf · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 46

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Source-reported events for the cited work

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Observation c2d4c18f-fac1-47d3-8585-c867dde88af8 · outbound

This paper cites Improving Pretraining Data Using Perplexity Correlations.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Improving Pretraining Data Using Perplexity Correlations

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f473210-55aa-4c96-9121-b1f5252556e4 · outbound

This paper cites D4: Improving LLM Pretraining via Document De-Duplication and Diversification.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining D4: Improving LLM Pretraining via Document De-Duplication and Diversification

Reference 48

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Observation 2fb81605-8b96-49a9-9125-50ad5e314ce9 · outbound

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

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining LLaMA: Open and Efficient Foundation Language Models

Reference 49

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Observation b47b022f-1d8d-420f-a45c-94ebe958bb07 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61f33809-279a-4c28-a0b1-a1e9d95fc373 · outbound

This paper cites RedPajama: an Open Dataset for Training Large Language Models.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining RedPajama: an Open Dataset for Training Large Language Models

Reference 51

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Source-reported events for the cited work

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Observation 98c1c595-e1ab-4d6a-ac8c-2e9a1bfa100f · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.808351Z

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Observation 5caec618-ad28-438a-8ef9-d13f7bc61416 · outbound

This paper cites QuRating: Selecting High-Quality Data for Training Language Models.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining QuRating: Selecting High-Quality Data for Training Language Models

Reference 53

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Source-reported events for the cited work

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Observation e9c15c65-2606-44e7-8e55-e8262d91ff72 · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e40ea66-1aed-4df5-8e41-ad525714be2d · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:07:15.788126Z

Source-reported events for the cited work

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Observation 42297567-3221-4515-aabc-97cc9480bf14 · outbound

This paper cites Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.173517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a041b2-6238-4687-8ab0-71a56e4a2e29 · outbound

This paper cites MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models

Reference 57

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Observation 29557480-3042-46cf-914d-701c4d86b18b · outbound

This paper cites an unresolved cited work.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.181415Z

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Observation 2d04cb42-9ce1-45c5-9dcb-e3404df875ab · outbound

This paper cites online" 'onlinestring :=.

QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining online" 'onlinestring :=

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.185297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e909089-ddfb-4dc3-971d-35b2c56b3b61 · outbound

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QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining write newline

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:15.189614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3b319f6d-5ca3-4aa1-897a-89221e9f7c32 · inbound

Data Mixing for Large Language Models Pretraining: A Survey and Outlook cites this paper.

Data Mixing for Large Language Models Pretraining: A Survey and Outlook QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.666412Z

Source-reported events for the cited work

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Observation 810dd919-b834-4c7b-aa5e-a33660d5f189 · inbound

InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition cites this paper.

InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:15:37.219533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5e2a428-68bd-4552-ac55-1b37d70192f8 · inbound

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures cites this paper.

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.393155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85ef347f-29e8-45c7-84c1-9e86482d7926 · inbound

DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes cites this paper.

DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T12:45:04.789254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.