Paper Citation Record · LEDGER

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training

As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2507.15640.

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

pith.paper-citation-record.v1
2507.15640 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T03:36:50.366757Z

measured 52 of 52 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 2026-06-28T22:58:30.457420Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-28T23:02:46.600053Z

Reference resolution

50 of 50 outbound references displayed

verified exact10
verified fuzzy12
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch26

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3a9c0b7-c808-4131-b86f-6cbd0e918322 · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.986337Z

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 2b7bf135-caaf-48df-9bce-17bbb202b5ba · outbound

This paper cites Program Synthesis with Large Language Models.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Program Synthesis with Large Language Models

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.968882Z

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 26d48e42-d48d-4470-9dda-048f94cf361f · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Evaluating Large Language Models Trained on Code

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.960680Z

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 0926377b-5bc1-460f-8703-bbcbcaaa92f2 · outbound

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

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.978034Z

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 a989a4fc-3fdc-4fb6-8035-5bffbc4dfd63 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:01.000498Z

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 2e9e6f29-9c3f-4849-8ca7-0cef131f79e1 · outbound

This paper cites Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-23T21:14:41.072420Z

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 35e013b5-9cd6-4fb6-a18d-c400a2d4437f · outbound

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

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:01.011108Z

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 5af74b4a-6e58-4d09-95e4-d3864b348354 · outbound

This paper cites arXiv e-prints (2024), arXiv–2407.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training arXiv e-prints (2024), arXiv–2407

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.307023Z

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 199131d0-988c-49d9-a6d2-87bffb20f3b2 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.937165Z

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 d1a28232-1cf4-458d-a6ca-62aac7a07064 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Measuring Massive Multitask Language Understanding

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.881795Z

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 7575a223-e476-42ec-8d1f-6ad03cd7ab03 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.875458Z

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 a9522292-870d-402f-8ac5-aa94298ae1d6 · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:01.005657Z

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 96651f57-00e9-467f-8d5b-b90fd9e635b0 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Qwen2.5-Coder Technical Report

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-19T03:37:00.907822Z

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 b8bea879-61bd-4527-b38d-abf674b9f08b · outbound

This paper cites Advances in neural information processing systems 37 (2024), 36602–36633.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in neural information processing systems 37 (2024), 36602–36633

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.343116Z

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 45a106a5-7b8f-4db1-b44e-da2cde1f578f · outbound

This paper cites Advances in neural information processing systems 33 (2020), 1179–1191.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in neural information processing systems 33 (2020), 1179–1191

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.338197Z

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 8bb39d41-8813-4b6a-a046-a6c5129f5b5c · outbound

This paper cites Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, et al.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, et al

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.347822Z

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 04c63033-6f1f-46a8-a936-7c22b5e90363 · outbound

This paper cites MIRA: Medical time series foundation model for real-world health data.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training MIRA: Medical time series foundation model for real-world health data

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T03:37:00.942105Z

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 d89057f2-fe4f-4d00-b34f-03591fad68e1 · outbound

This paper cites Advances in Neural Information Processing Systems 37 (2024), 14200–14282.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in Neural Information Processing Systems 37 (2024), 14200–14282

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.310171Z

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 52228e1e-b7f4-4c6d-8b9c-bc7f199c4f61 · outbound

This paper cites Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:00.948390Z

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 c97fe844-30c1-40d2-a40e-60dd0a2e50d7 · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:00.973148Z

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 cef4154c-5bd3-411d-b69e-0ec0a114679b · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.990682Z

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 87026fe1-9069-4bff-970a-1a075510265e · outbound

This paper cites Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:00.887186Z

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 a46c3f75-e7cb-4b91-87c1-2f2d7a082dbb · outbound

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

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.903187Z

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 ff554539-dc20-46a0-b969-8b611b068b72 · outbound

This paper cites 2 OLMo 2 Furious.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training 2 OLMo 2 Furious

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.892082Z

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 964763d7-7665-4605-b7d1-b9253395f328 · outbound

This paper cites Advances in Neural Information Processing Systems 37 (2024), 30811–30849.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in Neural Information Processing Systems 37 (2024), 30811–30849

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.333750Z

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 66f08c25-4762-406d-b8a7-017d9b59a568 · outbound

This paper cites Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:00.912798Z

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 f5214a59-f493-484c-a3a1-dd9eec1572bb · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.923093Z

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 33cf8c51-acbb-4bb2-b3f0-37d04b275531 · outbound

This paper cites an unresolved cited work.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-19T03:37:01.300191Z

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 a35dd49b-c5e4-4839-8fda-7ec64fadfe46 · outbound

This paper cites Journal of Machine Learning Research 23, 315 (2022), 1–20.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Journal of Machine Learning Research 23, 315 (2022), 1–20

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.326175Z

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 d331afd4-3c37-47cd-a4fd-0c3aea5c7808 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.982268Z

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 1deba2ba-5f51-4663-bb29-9ef5b9b2f998 · outbound

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

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training SlimPajama-DC: Understanding Data Combinations for LLM Training

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T03:37:00.952584Z

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 5d2f377c-85ca-4a7a-a6e4-2d4c0f74f2a1 · outbound

This paper cites an unresolved cited work.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-19T03:37:01.329742Z

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 750ca42e-09b8-4e63-b44a-5a3822f002b0 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.897231Z

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 7b1a5429-0f19-4ade-962c-c996430c7295 · outbound

This paper cites Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:00.956871Z

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 40dcc835-8a72-4207-8163-52dded710155 · outbound

This paper cites Advances in neural information processing systems 12 (1999).

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in neural information processing systems 12 (1999)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.313603Z

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 9e10026e-33f8-4810-88ee-1776cca61178 · outbound

This paper cites Nejm Ai 1, 3 (2024), AIoa2300138.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Nejm Ai 1, 3 (2024), AIoa2300138

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.323049Z

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 d15d1679-8b1f-4ea8-ae83-e0882d2660eb · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in neural information processing systems 30 (2017)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.303965Z

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 157072b1-a794-49b1-be32-eda0a6466340 · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T03:37:00.864495Z

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 12d671f4-7f03-472e-9629-f343d80bb0eb · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Crowdsourcing Multiple Choice Science Questions

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.845918Z

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 029de565-8692-436c-b5ae-74ea460722e9 · outbound

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

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:01.021457Z

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 6bd1b527-3512-4a1a-b644-0e9a6f68e480 · outbound

This paper cites SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:01.016522Z

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 f9d93d22-e622-4fc8-9916-ad1c94f527c4 · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:37:00.995326Z

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 04f19553-c148-40c1-aabb-20418dc09acb · outbound

This paper cites Advances in Neural Information Processing Systems 37 (2024), 95716–95743.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in Neural Information Processing Systems 37 (2024), 95716–95743

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.320173Z

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 e5b03649-3cf5-403c-9f3b-2b19a36999bd · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2023), 69798–69818.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Advances in Neural Information Processing Systems 36 (2023), 69798–69818

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T03:37:01.316795Z

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 52c7f777-7548-4ae3-9a72-aabaccc63335 · outbound

This paper cites Qwen3 Technical Report.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Qwen3 Technical Report

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.870067Z

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 7f9a4a78-9bc0-4519-95c9-5fcd9ad9b027 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-19T03:37:00.917537Z

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 a2699ca4-c700-4482-b3f7-f4859ccf8536 · outbound

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

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T03:37:00.829310Z

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 443b2f42-9b08-4ab9-9e70-1fa93b354cf9 · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.932991Z

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 e9b0b7e4-9300-4e7b-be1f-9814b73db33c · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:37:00.964918Z

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 3c0b2544-c85c-4e99-b096-e4a5b444ee91 · outbound

This paper cites Large Language Models for Time Series: A Survey.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training Large Language Models for Time Series: A Survey

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T03:37:00.858436Z

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 b4d18d1f-31a6-4df2-830c-f0b1a17f96bb · 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 Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:58:25.692754Z

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 7afe8a17-a524-4aef-a415-a65364d17719 · inbound

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning cites this paper.

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:02:46.601406Z

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.