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Source: paper_references, paper_reference_links, observed 2026-05-25T04:30:04.849603Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2605.23482.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-05-25T04:30:04.849603Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
87 of 87 outbound references displayed
External citation measurements
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Observation bb1b1edf-771d-4e10-9d64-8b882b47eaea · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation GPT-4 Technical Report
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Reference 12
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Reference 14
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Reference 15
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Reference 17
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Reference 18
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Reference 19
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Reference 20
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Observation 9ae3d7be-dbc6-4f31-93fb-f205e838a456 · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation Algorithm as 136: A k-means clustering algorithm.Journal of the royal statistical society
Reference 21
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Reference 22
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Fram- ing image description as a ranking task: Data, models and evaluation metrics.Journal of Artificial Intelligence Research, 47:853–899
Reference 23
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Reference 24
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Reference 26
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Reference 27
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Reference 29
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Computing geodesic paths on manifolds.Proceedings of the national academy of Sciences, 95(15):8431–8435
Reference 30
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Reference 31
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Multimodal Distribution Matching for Vision-Language Dataset Distillation A comprehensive survey of dataset distillation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1):17–32
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Reference 33
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Reference 34
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Reference 35
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Reference 36
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Reference 37
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Reference 38
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Reference 40
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Reference 41
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Reference 42
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Reference 43
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Reference 44
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Reference 45
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Reference 46
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Reference 47
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Reference 48
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Meta-Learning from Kernel Ridge-Regression
Reference 49
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Reference 50
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Observation 95d5cf52-def2-4a7e-9fae-158cc9926c4b · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation Deep learning on a data diet: Finding important examples early in training.Advances in neural information processing systems, 34:20596–20607
Reference 51
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Reference 52
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Reference 53
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Reference 54
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Laion-5b: An open large-scale dataset for training next gen- eration image-text models.Advances in Neural Information Processing Systems, 35:25278–25294
Reference 55
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Reference 56
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Reference 57
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Reference 58
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Reference 59
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 60
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Yfcc100m: The new data in multimedia research
Reference 61
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Bayesian Pseudo-Coresets via Contrastive Divergence
Reference 62
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Multimodal Distribution Matching for Vision-Language Dataset Distillation An Empirical Study of Example Forgetting during Deep Neural Network Learning
Reference 63
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Reference 64
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Reference 65
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Reference 66
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Herding dynamical weights to learn
Reference 67
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Reference 68
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Reference 69
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation via cur- riculum data synthesis in large data era.Transactions on Machine Learning Research
Reference 70
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Observation d604cecb-090f-44e0-97e1-da48e3d5455f · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Reference 71
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Observation 111f11fc-a5de-4f69-844b-dbccc76f4939 · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation Unresolved cited work
Reference 72
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distilla- tion: A comprehensive review.IEEE transactions on pattern analysis and machine intelligence, 46(1):150–170
Reference 73
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Sigmoid loss for language image pre-training
Reference 74
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Observation 185e0e0e-cfa5-451a-9695-0d063f560890 · outbound
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Reference 75
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Reference 76
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Reference 77
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset condensation with differ- entiable siamese augmentation
Reference 78
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Reference 80
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Reference 81
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Multimodal Distribution Matching for Vision-Language Dataset Distillation Im- proved distribution matching for dataset condensation
Reference 82
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Observation f44b3032-351e-4fd8-bdf6-a983962b9867 · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation Efficient multimodal dataset distillation via generative models
Reference 83
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Observation 73532abd-050b-4d85-94f4-9e771de7efda · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation Towards stable and storage- efficient dataset distillation: Matching convexified trajectory
Reference 84
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Observation 69dfc22c-e0f3-4067-bca7-55db51678670 · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Distillation using Neural Feature Regression
Reference 85
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Observation 299df765-0679-44a8-a7cd-b805a44f2bdf · outbound
Multimodal Distribution Matching for Vision-Language Dataset Distillation modality gap
Reference 86
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Reference 87
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No inbound Pith citation observations are available.