Paper Citation Record · LEDGER

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 3 inbound Pith citation observations for arXiv:2505.00358.

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

pith.paper-citation-record.v1
2505.00358 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:49:33.125140Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:02:00.932716Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:46.760870Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy4
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81d4a51a-0e1d-4e50-ade2-f2ab54d600d5 · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training DoGE: Domain Reweighting with Generalization Estimation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.939849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224d3fe8-7e53-490e-b635-2bc8bc3f5401 · outbound

This paper cites DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.945685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19297c32-4a8a-4099-8b3b-f3ec652e8c0b · outbound

This paper cites Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.951293Z

Source-reported events for the cited work

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Observation dd02610f-40ee-4562-8007-414a59b4bc28 · outbound

This paper cites Aioli: A Unified Optimization Framework for Language Model Data Mixing.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.957200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2458274-30be-4b2f-acce-943e628953b7 · outbound

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

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.962436Z

Source-reported events for the cited work

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Observation c628917d-b185-45e4-b65a-54a1a1688f7e · outbound

This paper cites Organize the Web: Constructing Domains Enhances Pre-Training Data Curation.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.967892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a4d3a7-b7fa-4844-a771-899d6cd21c7d · outbound

This paper cites Free Dolly: Introducing the World’s First Truly Open Instruction-Tuned LLM.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Free Dolly: Introducing the World’s First Truly Open Instruction-Tuned LLM

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:33.862331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a240039-300b-46bc-8c9f-7b94873a0222 · outbound

This paper cites DsDm: Model-Aware Dataset Selection with Datamodels.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training DsDm: Model-Aware Dataset Selection with Datamodels

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.978094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432ae583-2d6a-4763-9dc0-3ca9eee05459 · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.984118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e330450b-43a4-4a61-81a1-b90d6253c7d4 · outbound

This paper cites Grad-match: Gradient matching based data subset selection for efficient deep model training.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Grad-match: Gradient matching based data subset selection for efficient deep model training

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:33.845746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a4f720f-a99b-4093-a136-3438962ed0bf · outbound

This paper cites Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:32.994117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f192524-0fa1-4b23-aee7-f9d5116fa2a9 · outbound

This paper cites Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:49:33.565611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5ff941e-fdff-4311-bbc3-e3f5bed18bc8 · outbound

This paper cites Multimodal Data Curation via Object Detection and Filter Ensembles.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Multimodal Data Curation via Object Detection and Filter Ensembles

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.005055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c4c4724-04a7-4534-a067-485d6611f390 · outbound

This paper cites Data Selection for Language Models via Importance Resampling.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Data Selection for Language Models via Importance Resampling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.010284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9ede20b-ab34-4238-8082-4b9e67acb531 · outbound

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

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.015503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fdad599-8cb4-4361-8f48-a8eb11216028 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Deduplicating Training Data Makes Language Models Better

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.021069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 328c1cbe-0204-4b6e-9cc3-b01538cb663f · outbound

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

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training D4: Improving LLM Pretraining via Document De-Duplication and Diversification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.026439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02797f87-ccbb-419c-9662-701610fd8a6b · outbound

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

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.032610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba23610f-decb-47cb-a908-b3ffb0178216 · outbound

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

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.038457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 389e68ba-317f-446b-935c-19e3f599e2a2 · outbound

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

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.044017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28db4c1-d9fd-4a04-b58c-501cb6461167 · outbound

This paper cites AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.048755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efaf0881-acb5-401e-9f28-c0bb87518940 · outbound

This paper cites Compute Optimal Scaling of Skills: Knowledge vs Reasoning.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Compute Optimal Scaling of Skills: Knowledge vs Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.053552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 021afc3b-cc65-4b7f-9645-ae37893ef349 · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.058764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7099e4e5-4518-412d-bd37-d7c940c624d0 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.064158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57af264c-041f-4fc4-b793-ee6f426326b4 · outbound

This paper cites s1: Simple test-time scaling.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training s1: Simple test-time scaling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.070209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70ca7e16-73e5-408b-9340-8967cb65444f · outbound

This paper cites an unresolved cited work.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:49:33.829305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17f27a45-e219-48db-979c-f4f7ed806464 · outbound

This paper cites Dynamic Gradient Alignment for Online Data Mixing.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Dynamic Gradient Alignment for Online Data Mixing

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.080406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 789e55bd-e8ab-4a4a-ab52-77deb021e3ce · outbound

This paper cites GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training GPT-Neo: Large Scale Autoregressive Language Modeling with Mesh-Tensorflow

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.085127Z

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Observation 38521ce1-5d5a-4fd5-88ac-25b1b63aca47 · outbound

This paper cites Qwen2 Technical Report.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Qwen2 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.090579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e16b524e-817a-450d-a245-3435cf3fb005 · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; others Learning transferable visual models from natural language supervision.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; others Learning transferable visual models from natural language supervision

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.095840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aefc898a-7480-4144-bb5b-78c81c0fe048 · outbound

This paper cites OpenCLIP.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training OpenCLIP

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.100308Z

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Unavailable: canonical work link unavailable.

Observation 7fb9ef74-0e31-4665-aa46-c9fb67b99a2a · outbound

This paper cites an unresolved cited work.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:49:33.801543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db1c332a-6950-4207-b627-174cbfffcb5f · outbound

This paper cites Scaling Laws for Neural Language Models.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Scaling Laws for Neural Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.109757Z

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Unavailable: canonical work link unavailable.

Observation 14ba2936-c0c3-4606-bf87-a699f693d867 · outbound

This paper cites What’s the Backward-Forward FLOP Ratio for Neural Networks? 2021; https: //epoch.ai/blog/backward-forward-FLOP-ratio.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training What’s the Backward-Forward FLOP Ratio for Neural Networks? 2021; https: //epoch.ai/blog/backward-forward-FLOP-ratio

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:33.785127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9972a7e5-bacd-437a-9d6b-82d0697ed2a6 · outbound

This paper cites Efficient Per-Example Gradient Computations.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training Efficient Per-Example Gradient Computations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:33.119833Z

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Unavailable: canonical work link unavailable.

Observation 1a8dc2cd-c182-4726-a852-b732df22b334 · outbound

This paper cites T.; Wu, T.; Song, D.; Mittal, P.; Jia, R.

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training T.; Wu, T.; Song, D.; Mittal, P.; Jia, R

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:49:33.767439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation df0770f5-85c7-420a-b891-2cf29453ced8 · inbound

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights cites this paper.

Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:00.932716Z

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Unavailable: canonical work link unavailable.

Observation aab1ca16-6c06-452b-b232-3451f46e26be · 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 R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:58:25.732902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b81392e0-504d-4e37-90eb-d8aa1db6d013 · inbound

WARP: Weight-Space Analysis for Recovering Training Data Portfolios cites this paper.

WARP: Weight-Space Analysis for Recovering Training Data Portfolios R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:58:46.762888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.