Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives | Paper Citation Record

Observation 36bc18a6-cb30-40c1-a97f-4897f475f9cf · outbound

This paper cites A Survey on Data Selection for Language Models.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives A Survey on Data Selection for Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:48.370150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62f76901-e1cd-4dd5-b557-a4ee9abbe3a4 · outbound

This paper cites Efficient Online Data Mixing For Language Model Pre-Training.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Efficient Online Data Mixing For Language Model Pre-Training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:48.487199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882719b5-0d86-4d79-951b-57fdb5e0f51b · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:33:58.307035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b4addb51-6306-41eb-b8c1-294a5259ce6b · outbound

This paper cites Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:33:57.368547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab01c965-32fd-4ebb-b0ae-849adfda1d2f · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:48.893722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74c29320-b6e8-4c06-b69c-a39e6b5ba3d9 · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Aioli: A Unified Optimization Framework for Language Model Data Mixing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:49.082128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc8f024-6663-461c-8527-49b1cecfbe75 · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:49.258242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ce5e90-f245-477f-a761-efa5cf0f381d · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Scaling Instruction-Finetuned Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:49.385365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23546973-3ab1-4667-a1c8-176bd45dbb1e · outbound

This paper cites Training GANs with Optimism.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Training GANs with Optimism

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:49.511514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f28c872d-09c2-4910-96ae-4e6d2f031454 · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:33:57.103547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 963250a7-090d-4ab7-9b92-d715f9f2a4b9 · outbound

This paper cites GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:49.759942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd576d84-729d-4da9-a0a7-2ed46f8e60e4 · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:49.915397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ee6c42-924a-406c-ba0f-feb001fb6ba3 · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:33:58.127646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ccbd187d-b65b-45d9-b2fd-9eee1d0eddbc · outbound

This paper cites Forward and Reverse Gradient-Based Hyperparameter Optimization.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Forward and Reverse Gradient-Based Hyperparameter Optimization

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:33:56.797037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e4ebb40-ae5c-4daf-960c-187a2e144079 · outbound

This paper cites Language models scale reliably with over-training and on downstream tasks.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Language models scale reliably with over-training and on downstream tasks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.325132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df30824e-1b19-4511-92de-89ab5d0166ef · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.472683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66437165-7de4-4550-accc-8ec38fb8c18a · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives BiMix: A Bivariate Data Mixing Law for Language Model Pretraining

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.604941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea4f49c-d8e5-4686-86dd-5cdaa69a665a · outbound

This paper cites Scaling Expert Language Models with Unsupervised Domain Discovery.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Scaling Expert Language Models with Unsupervised Domain Discovery

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.715368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a15f17-2fd7-4935-88c7-255670c03bb2 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Training Compute-Optimal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.850028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b311690c-0dce-4614-b305-f00efb81c32c · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:50.960916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 108619fd-ffb3-4a8e-a9bb-e1fe273c38d7 · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:51.071911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c14ea77e-2f43-4978-9bd0-6ac2aab41cba · outbound

This paper cites Scaling Laws for Neural Language Models.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Scaling Laws for Neural Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:51.178477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f11cfa6-090e-4ecf-a0a8-b8fda047eca8 · outbound

This paper cites A Fully First-Order Method for Stochastic Bilevel Optimization.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives A Fully First-Order Method for Stochastic Bilevel Optimization

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:33:56.324802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5192bdd-f44b-4a8a-9ca8-ee3e999773ef · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:33:57.971782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 72f6d54c-d65e-473f-b53d-f57aa729b933 · outbound

This paper cites MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:51.548263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1004f965-6e3d-4c85-8453-fc39bb0c4af4 · outbound

This paper cites FAMO: Fast Adaptive Multitask Optimization.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives FAMO: Fast Adaptive Multitask Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:51.661519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae44435e-3711-4976-ac39-7797fd167ca0 · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:33:57.813615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea6153a1-ef08-4c32-bce6-d6fbdf085acc · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:51.884698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0f9683-56eb-49ac-9295-c930cdaa501e · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:33:57.644662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02ee085f-bef2-4e81-9cac-ed70b0ea99f1 · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.124575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b8c3ab1-ee23-4537-86aa-73cb9e83704b · outbound

This paper cites Optimizing Millions of Hyperparameters by Implicit Differentiation.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Optimizing Millions of Hyperparameters by Implicit Differentiation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.282275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8254859-93c3-45ee-ba9e-011c5d60762b · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.387698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 583b578c-c295-45fa-840c-1ee032eaad82 · outbound

This paper cites OpenELM: An Efficient Language Model Family with Open Training and Inference Framework.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.514060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d15914f-4f31-498a-8937-b25454cee021 · outbound

This paper cites Hashimoto, and Percy Liang.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Hashimoto, and Percy Liang

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.622870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47ac372b-45d2-4da2-843c-777b6e795982 · outbound

This paper cites LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.754333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29e0cfed-d8b5-454a-b07d-51453c2f516d · outbound

This paper cites ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.895760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c2a519-496c-4d04-b4fa-96a085159c1a · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.994596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6914823b-34a4-443b-93df-1ad0ec8df797 · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.139442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4c5844-478f-4d49-979d-0b99705c36cc · outbound

This paper cites an unresolved cited work.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Unresolved cited work

Reference 39

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:33:55.904518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70d827fa-3469-459e-8020-9b16f8b81515 · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.325891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe70179-7f88-46f0-8088-731f97cbb0cf · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives SlimPajama-DC: Understanding Data Combinations for LLM Training

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.419429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6821ead-e6e2-44de-843c-4a7f822e84a6 · outbound

This paper cites The Vizier Gaussian Process Bandit Algorithm.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives The Vizier Gaussian Process Bandit Algorithm

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.554390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e1e1d6-b288-4248-a255-e95759f080ca · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.715579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3b19b2-514e-4dc4-8c72-bee9fdeb6b64 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Finetuned Language Models Are Zero-Shot Learners

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.834351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3597c35a-4d91-4682-82bc-7cb147cc2dab · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.990057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d4d2737-a203-4e5d-a27c-6133fb09a45f · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:54.125833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70accda3-7105-445a-8a53-0fa773379f6d · outbound

This paper cites A Unified Perspective on Multi-Domain and Multi-Task Learning.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives A Unified Perspective on Multi-Domain and Multi-Task Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:54.253956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb873359-d146-41a6-a21c-3727d824a5d8 · outbound

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

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:54.384371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18e95ba-7dc5-42a9-b983-6530db2b0d41 · outbound

This paper cites Gradient Surgery for Multi-Task Learning.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives Gradient Surgery for Multi-Task Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:54.509096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34000aaf-f730-4f6e-9659-43a4e2ce50f5 · outbound

This paper cites A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:33:55.333064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 141ad7d3-e01b-4495-b403-50e15e80cb69 · outbound

This paper cites An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:54.796497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bb3652e-81b6-4dc2-9b03-43b5ae33a944 · outbound

This paper cites online" 'onlinestring :=.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives online" 'onlinestring :=

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:54.889501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1e40183-72ef-4dd2-9328-0352283a0f8c · outbound

This paper cites write newline.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives write newline

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:55.004931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers