Paper Citation Record · LEDGER

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 2 inbound Pith citation observations for arXiv:2505.24844.

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

pith.paper-citation-record.v1
2505.24844 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:44.945688Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T16:44:41.720388Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.449857Z

Reference resolution

63 of 63 outbound references displayed

verified exact1
verified fuzzy30
unresolved32
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b3f3af47-ab0b-4944-8a1e-0d11b5d39ba9 · outbound

This paper cites write newline.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning write newline

Reference 1

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Source-reported events for the cited work

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Observation f79284cf-cb42-449d-838c-3a8f2c821a35 · outbound

This paper cites Fast Randomized Kernel Methods With Statistical Guarantees.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Fast Randomized Kernel Methods With Statistical Guarantees

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:38.631002Z

Source-reported events for the cited work

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Observation dd4f53e5-1b52-40b0-8d45-6e3e3908d583 · outbound

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Unresolved cited work

Reference 3

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Observation 9b3b7a62-c4f4-4b78-987d-d7cc769af6f0 · outbound

This paper cites Sharp analysis of low-rank kernel matrix approximations.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Sharp analysis of low-rank kernel matrix approximations

Reference 4

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Observation a56dba4a-6129-49c8-8ce3-f3eb14834600 · outbound

This paper cites B., and Stylianopoulos, N.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning B., and Stylianopoulos, N

Reference 5

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Observation 2f4e55df-f392-4929-a82a-d736c511e1c1 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Piqa: Reasoning about physical commonsense in natural language

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:52.731218Z

Source-reported events for the cited work

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Observation b30ac921-47fb-4036-abd2-5361d1de8069 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 7

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Observation 7fbd5401-2195-4b69-839d-07d6eea4a633 · outbound

This paper cites Analysis of nystr \"o m method with sequential ridge leverage score sampling.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Analysis of nystr \"o m method with sequential ridge leverage score sampling

Reference 8

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Observation 278990ec-cd76-42d6-b790-d54e321149ba · outbound

This paper cites and Yang, Y.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning and Yang, Y

Reference 9

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Source-reported events for the cited work

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Observation 1c6eb76e-8c0a-4689-b2b3-782fa9d66a5a · outbound

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

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

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Source-reported events for the cited work

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Observation e086f306-5235-4db8-b0df-acbfc899db2f · outbound

This paper cites Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling

Reference 11

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Source-reported events for the cited work

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Observation 01ba9733-8ce0-4bf4-b1e7-3877415db091 · outbound

This paper cites B., Musco, C., and Musco, C.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning B., Musco, C., and Musco, C

Reference 12

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Observation ce4338ec-32a4-4cb6-a4d2-f1892d733728 · outbound

This paper cites Multivariate christoffel functions and hyperinterpolation.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Multivariate christoffel functions and hyperinterpolation

Reference 13

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Observation d9b443af-97ae-4350-a8ab-5fd403456981 · outbound

This paper cites M., Tong, S., Lepikhin, D., Xu, Y., Krikun, M., Zhou, Y., Yu, A.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning M., Tong, S., Lepikhin, D., Xu, Y., Krikun, M., Zhou, Y., Yu, A

Reference 14

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Observation 380f1443-4da2-442c-86b3-82838e03bb22 · outbound

This paper cites The Llama 3 Herd of Models.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning The Llama 3 Herd of Models

Reference 15

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Observation d13ab9fc-b31e-41a0-ac62-e48ad12035af · outbound

This paper cites Leveraging the christoffel function for outlier detection in data streams.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Leveraging the christoffel function for outlier detection in data streams

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:51.720521Z

Source-reported events for the cited work

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Observation 00054f01-6e16-473e-9eeb-0913ae1d4dcd · outbound

This paper cites an unresolved cited work.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation 51e9940f-84a8-4e96-885d-66991935c67f · outbound

This paper cites Dynamic Gradient Alignment for Online Data Mixing.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Dynamic Gradient Alignment for Online Data Mixing

Reference 18

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Observation b3b65340-679b-42bb-bbc7-408c87847d30 · outbound

This paper cites DOGE : Domain reweighting with generalization estimation.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning DOGE : Domain reweighting with generalization estimation

Reference 19

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Observation d7eacd52-3ee0-42af-957d-3736b71854a6 · outbound

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Unresolved cited work

Reference 20

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Observation ed9a85c7-fce3-48df-8edd-4c624c12522a · outbound

This paper cites Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining

Reference 21

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

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 22

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This paper cites A framework for few-shot language model evaluation, 2024.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning A framework for few-shot language model evaluation, 2024

Reference 23

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Observation 043fde3c-f671-4c8e-af53-7afc339a4493 · outbound

This paper cites An introduction to statistical learning: with applications in R.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning An introduction to statistical learning: with applications in R

Reference 24

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Observation 59c670a5-a10c-430d-b88e-1fe7c6a0de53 · outbound

This paper cites Wiki-40b: Multilingual language model dataset.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Wiki-40b: Multilingual language model dataset

Reference 25

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Observation 0ca0147c-e911-4038-9912-ae1e484d97a8 · outbound

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning The elements of statistical learning: data mining, inference and prediction

Reference 26

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Observation 1fb5bd19-70eb-4a72-9e70-11a649b5f5f6 · outbound

This paper cites Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

Reference 27

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Autoscale: Automatic prediction of compute-optimal data composition for training llms

Reference 28

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This paper cites Looking beyond the surface: A challenge set for reading comprehension over multiple sentences.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Looking beyond the surface: A challenge set for reading comprehension over multiple sentences

Reference 29

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Observation 44b966dc-a8f5-4ef8-83e2-45e76205e9dc · outbound

This paper cites The Stack: 3 TB of permissively licensed source code.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning The Stack: 3 TB of permissively licensed source code

Reference 30

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 31

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Unresolved cited work

Reference 32

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning L., and Peng, R

Reference 33

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Observation d17e5040-a200-4cb6-b809-43f28a19b253 · outbound

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 34

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

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 35

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This paper cites A pretrainer`s guide to training data: Measuring the effects of data age, domain coverage, quality, & toxicity.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning A pretrainer`s guide to training data: Measuring the effects of data age, domain coverage, quality, & toxicity

Reference 36

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Observation b604cae5-2271-4340-bd58-428587ad586b · outbound

This paper cites At Which Training Stage Does Code Data Help LLMs Reasoning?.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning At Which Training Stage Does Code Data Help LLMs Reasoning?

Reference 37

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Unresolved cited work

Reference 38

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This paper cites When not to trust language models: Investigating effectiveness of parametric and non-parametric memories.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning When not to trust language models: Investigating effectiveness of parametric and non-parametric memories

Reference 39

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 40

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This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 41

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning and Musco, C

Reference 42

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Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 43

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This paper cites Data, Data Everywhere: A Guide for Pretraining Dataset Construction.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Data, Data Everywhere: A Guide for Pretraining Dataset Construction

Reference 44

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This paper cites The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Reference 45

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This paper cites Relating leverage scores and density using regularized christoffel functions.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Relating leverage scores and density using regularized christoffel functions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.678146Z

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Observation 91ca0a5d-bda1-4d00-b818-82f9c0eae9f6 · outbound

This paper cites Falkon: An optimal large scale kernel method.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Falkon: An optimal large scale kernel method

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.531788Z

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Observation 44dda75b-1c18-4e14-979b-3125ce1b0ef2 · outbound

This paper cites On fast leverage score sampling and optimal learning.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning On fast leverage score sampling and optimal learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:47.334377Z

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Observation 13a410b8-2423-41a9-9932-d907f680f02e · outbound

This paper cites W., Hashimoto, T.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning W., Hashimoto, T

Reference 49

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Observation a6f33091-d00f-4906-a6c2-95b580a7b1cd · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning L., Bhagavatula, C., and Choi, Y

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:46.982119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9862cc0-9dbd-45ba-9ff8-878343a3146f · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning SocialIQA: Commonsense Reasoning about Social Interactions

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:43.845142Z

Source-reported events for the cited work

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Observation 252658e2-bfaf-448a-b50b-a0d16113da04 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Superglue: Learning feature matching with graph neural networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:46.809132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dca80466-c8a3-42bc-9c43-91a16adddafc · outbound

This paper cites an unresolved cited work.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:46.672149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68de9851-dcfe-4231-a816-3a668ff1a055 · outbound

This paper cites SlimPajama-DC: Understanding Data Combinations for LLM Training.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning SlimPajama-DC: Understanding Data Combinations for LLM Training

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:44.169610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b8a180-72cf-44ca-996f-2adf63905bf7 · outbound

This paper cites R., Hestness, J., and Dey, N.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning R., Hestness, J., and Dey, N

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:46.483514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 260c8516-a786-4aa6-9a78-0a5b57cbb685 · outbound

This paper cites an unresolved cited work.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:46.303556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2c8a2fc8-5afd-4fb1-af99-59103a2155a1 · outbound

This paper cites N., Kaiser, L.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning N., Kaiser, L

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:46.106489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33580535-e89e-4bd8-80f1-339ed89cfe22 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:44.518896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c17dd7-463b-4d89-a894-286945055dbf · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Crowdsourcing Multiple Choice Science Questions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:44.600639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3feeeabe-7f0d-4ce5-ae89-4dbf3c0c4ee5 · outbound

This paper cites M., Pham, H., Dong, X., Du, N., Liu, H., Lu, Y., Liang, P., Le, Q.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning M., Pham, H., Dong, X., Du, N., Liu, H., Lu, Y., Liang, P., Le, Q

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:45.908361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a3642873-dedc-4f25-85fd-309da848bf11 · outbound

This paper cites N., and Mirzasoleiman, B.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning N., and Mirzasoleiman, B

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:45.740683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a6e03e86-85cd-4257-912e-4fb29755758a · outbound

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

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:44.851956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffc16bb-1f22-4850-bad5-7542e0b0237c · outbound

This paper cites H ella S wag: Can a machine really finish your sentence? In Annual Meeting of the Association for Computational Linguistics (ACL), pp.\ 4791--4800, 2019.

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning H ella S wag: Can a machine really finish your sentence? In Annual Meeting of the Association for Computational Linguistics (ACL), pp.\ 4791--4800, 2019

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:45.575582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation daa3f0a0-bd0b-41b4-9534-615953804898 · 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 Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.742553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d40c740-2663-4d1c-bb09-1788df5e4c44 · 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 Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:48:39.451436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.