Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:03:33.738965Z
Paper Citation Record · LEDGER
Dataset Distillation as Data Compression: A Rate-Utility Perspective
As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.17221.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
Reference resolution
65 of 65 outbound references displayed
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- verified fuzzy52
- unresolved12
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 76622ebc-5c23-465b-a5c4-367fb7f4be7e · outbound
This paper cites Soft-to-hard vector quantization for end-to-end learn- ing compressible representations.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Soft-to-hard vector quantization for end-to-end learn- ing compressible representations
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e1a5bab2-e39b-4599-b2ef-6ca938de4b30 · outbound
This paper cites Multi-realism image compression with a conditional generator.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Multi-realism image compression with a conditional generator
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1a2cde41-8114-4f84-9400-76c7b09c4ab4 · outbound
This paper cites an unresolved cited work.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Unresolved cited work
Reference 3
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 716b726c-dd3d-4f2d-b5d5-96cdd02590cb · outbound
This paper cites Simoncelli.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Simoncelli
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 63cce43e-622c-4e0a-b15c-290b03e0424d · outbound
This paper cites Simoncelli.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Simoncelli
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 168f6814-ebc2-43e7-a891-70035b0ca33d · outbound
This paper cites Variational image compres- sion with a scale hyperprior.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Variational image compres- sion with a scale hyperprior
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab8d8bd6-584d-4d78-9be9-3e5c3c84f553 · outbound
This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation d7106b51-2717-4bbd-86d9-2c1d9456476a · outbound
This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4cea2e3a-f8b5-47f4-a74a-e9db88746d2a · outbound
This paper cites Efros, and Jun-Yan Zhu.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Efros, and Jun-Yan Zhu
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ea969c11-55b9-4b37-b777-7749a296ab9b · outbound
This paper cites Efros, and Jun-Yan Zhu.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Efros, and Jun-Yan Zhu
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d704132f-0f98-4888-afdf-93997557b9d6 · outbound
This paper cites Influence-guided diffusion for dataset distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Influence-guided diffusion for dataset distillation
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8d0a4f3f-8a0a-4e43-b229-2cb76826c40b · outbound
This paper cites Cover and Joy A.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Cover and Joy A
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 443d7f03-cf85-42c1-bc3a-cdbf15fa34fb · outbound
This paper cites Scaling up dataset distillation to ImageNet-1K with constant mem- ory.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Scaling up dataset distillation to ImageNet-1K with constant mem- ory
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:46.780353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 30b8b0ef-6c86-4f5e-bef8-8c7fc02a83de · outbound
This paper cites Remember the past: Distilling datasets into addressable memories for neural net- works.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Remember the past: Distilling datasets into addressable memories for neural net- works
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2561c848-9058-4101-b9f4-e9fb506998f2 · outbound
This paper cites NICE: Non-linear independent components estimation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective NICE: Non-linear independent components estimation
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f4f9753f-67fd-46f9-b385-39c67c8827fd · outbound
This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.
Dataset Distillation as Data Compression: A Rate-Utility Perspective An image is worth 16x16 words: Trans- formers for image recognition at scale
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a84fb0e7-d004-4fe6-bc0c-3b055bfa93a5 · outbound
This paper cites COIN: Compression with im- plicit neural representations.
Dataset Distillation as Data Compression: A Rate-Utility Perspective COIN: Compression with im- plicit neural representations
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:45.894905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bad1eb88-6c11-48e3-9332-3d260a0ce3bc · outbound
This paper cites Embarrassingly simple dataset distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Embarrassingly simple dataset distillation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:45.739981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5dba72af-6b6c-4142-a68d-164dad95d201 · outbound
This paper cites an unresolved cited work.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Unresolved cited work
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 904d178b-be16-4f0b-b10b-03ab6e16e0d0 · outbound
This paper cites Borgwardt, Malte J.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Borgwardt, Malte J
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:45.330254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 90ffa48d-75d8-4975-b554-e4030a32dd94 · outbound
This paper cites Hern´andez-Lobato.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Hern´andez-Lobato
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:45.148764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7cfae8e4-38a5-4cd9-aef1-44edbd2c1412 · outbound
This paper cites Deep residual learning for image recognition.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Deep residual learning for image recognition
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e725faeb-bd43-43d4-8485-b53d74211e51 · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Deep Learning Scaling is Predictable, Empirically
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b59ff9ff-4461-43db-a7f6-3ed41553690f · outbound
This paper cites an unresolved cited work.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Unresolved cited work
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 005da80c-e399-424a-8f35-a5b3254d4390 · outbound
This paper cites Scaling Laws for Neural Language Models.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Scaling Laws for Neural Language Models
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f28a08cb-6c2c-48cb-916d-06c9955465fb · outbound
This paper cites Schwarz, and Emilien Dupont.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Schwarz, and Emilien Dupont
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f422d1df-b88e-4eb3-bd4b-e51b95f5099c · outbound
This paper cites Dataset condensation via efficient synthetic- data parameterization.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset condensation via efficient synthetic- data parameterization
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 44eb2070-c132-4602-ac8b-d2d6135a68cb · outbound
This paper cites Kingma and Max Welling.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Kingma and Max Welling
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 501999fd-b730-4b34-abc0-19b1cf009075 · outbound
This paper cites an unresolved cited work.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 02d28e2d-75f0-4517-8541-80c37101f7ab · outbound
This paper cites COOL-CHIC: Coordinate-based low complexity hierarchical image codec.
Dataset Distillation as Data Compression: A Rate-Utility Perspective COOL-CHIC: Coordinate-based low complexity hierarchical image codec
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation ac3dc5f9-73ed-403b-b53c-71f69a1502a9 · outbound
This paper cites A comprehensive survey of dataset distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective A comprehensive survey of dataset distillation
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 24d1ca0e-00d0-427d-bc24-5fa82d214c86 · outbound
This paper cites Efficient and effective context-based convolutional en- tropy modeling for image compression.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Efficient and effective context-based convolutional en- tropy modeling for image compression
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation c2f620f7-32c1-45b1-a5b7-9c7b8df40ee4 · outbound
This paper cites The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions.
Dataset Distillation as Data Compression: A Rate-Utility Perspective The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1130411-7bfb-40b2-a14c-95d6040ef8d0 · outbound
This paper cites Dataset distillation via factorization.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset distillation via factorization
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc6d5c65-08a3-40c0-b965-d8ec1a86739a · outbound
This paper cites Hasani, Mathias Lechner, and Daniela Rus.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Hasani, Mathias Lechner, and Daniela Rus
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 33185b3a-484a-49c5-866f-fff5bec50249 · outbound
This paper cites High-fidelity generative image compres- sion.
Dataset Distillation as Data Compression: A Rate-Utility Perspective High-fidelity generative image compres- sion
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 75b84937-8747-4788-868e-3748d27896cb · outbound
This paper cites Joint autoregressive and hierarchical priors for learned image compression.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Joint autoregressive and hierarchical priors for learned image compression
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f5fea523-2457-4cc9-972d-740d3f15328c · outbound
This paper cites Dataset meta-learning from kernel ridge-regression.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset meta-learning from kernel ridge-regression
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fbf4f62c-7d6a-4fc3-b488-4031101a2e0d · outbound
This paper cites Dataset distillation with infinitely wide convolutional networks.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset distillation with infinitely wide convolutional networks
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation aea9c98b-b732-47bc-93ea-c8e374c669a4 · outbound
This paper cites Oord, Nal Kalchbrenner, and Koray Kavukcuoglu.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Oord, Nal Kalchbrenner, and Koray Kavukcuoglu
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c3c3e498-d6cd-4d12-8d9a-5f1157122710 · outbound
This paper cites an unresolved cited work.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 692d35d3-3d6b-4a65-9be3-9c9629ee25f3 · outbound
This paper cites an unresolved cited work.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Unresolved cited work
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bd2c56c0-f145-4005-9b4f-a858d019468e · outbound
This paper cites Fre- quency domain-based dataset distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Fre- quency domain-based dataset distillation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:39.923595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d5cb80d7-cf71-421a-979f-22af4dc7669c · outbound
This paper cites Distilling dataset into neural field.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Distilling dataset into neural field
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:39.626729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0d19826d-a17a-4fcb-8e50-eca499f289ff · outbound
This paper cites Very deep convo- lutional networks for large-scale image recognition.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Very deep convo- lutional networks for large-scale image recognition
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:39.264186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bfcf5c2f-b832-4752-849f-6dea7c91165d · outbound
This paper cites D4M: Dataset distillation via disentangled diffusion model.
Dataset Distillation as Data Compression: A Rate-Utility Perspective D4M: Dataset distillation via disentangled diffusion model
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:38.872232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f52d5cb7-bd68-4e8d-9065-d4f6f948310f · outbound
This paper cites RNADE: The real-valued neural autoregressive density-estimator.
Dataset Distillation as Data Compression: A Rate-Utility Perspective RNADE: The real-valued neural autoregressive density-estimator
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:38.551591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation df7a179b-8174-45ea-ba7e-d3825266a403 · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:38.251048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 339a971b-d7ba-47bc-a024-81f17e07275d · outbound
This paper cites Dataset Distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset Distillation
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31472237-6632-4dc3-a8a7-51a403535d56 · outbound
This paper cites Sparse parameterization for epitomic dataset distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Sparse parameterization for epitomic dataset distillation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:37.976948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bca1a830-a5b6-4bbd-ac81-f4376db31409 · outbound
This paper cites an unresolved cited work.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:03:37.710315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 220299ac-4c59-4638-8b34-d1946408bf9c · outbound
This paper cites Witten, Radford M.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Witten, Radford M
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:37.486310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 048e1b13-c3e9-4a23-9147-a18fa0d57f6e · outbound
This paper cites Lossy image compression with conditional diffusion models.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Lossy image compression with conditional diffusion models
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:37.270830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 63dfcaa3-fe86-4195-ac5a-289c0ba1b3c5 · outbound
This paper cites Neural spectral decompo- sition for dataset distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Neural spectral decompo- sition for dataset distillation
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:37.034275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f0b044c6-c445-4d0f-83c1-3ebc1fd7185f · outbound
This paper cites An introduc- tion to neural data compression.
Dataset Distillation as Data Compression: A Rate-Utility Perspective An introduc- tion to neural data compression
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:36.690646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2a361527-6688-4845-a951-c82f1720ad1f · outbound
This paper cites Xing, and Zhiqiang Shen.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Xing, and Zhiqiang Shen
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:36.404301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8a792e23-9a96-466a-af43-0dde52244f06 · outbound
This paper cites Teddy: Efficient large-scale dataset distillation via Taylor- approximated matching.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Teddy: Efficient large-scale dataset distillation via Taylor- approximated matching
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:36.191746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7ca4de58-8a4a-4302-a997-f7f23f9bb252 · outbound
This paper cites TD3: Tucker decomposition based dataset distillation method for sequential recommendation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective TD3: Tucker decomposition based dataset distillation method for sequential recommendation
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:35.848797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4d5be436-401d-47aa-86a8-98007e927a7a · outbound
This paper cites Synthesizing informative train- ing samples with GAN.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Synthesizing informative train- ing samples with GAN
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:35.595622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2af9c73c-625e-423e-bc57-75da0323f2ca · outbound
This paper cites Dataset condensation with distri- bution matching.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset condensation with distri- bution matching
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:35.332712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cbba119d-0512-4594-9031-2771f4492f7b · outbound
This paper cites Dataset condensation with gradient matching.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset condensation with gradient matching
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:34.986267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc81d2bf-266f-47ea-8c59-c3d3ef622eda · outbound
This paper cites Mao, Chaowei Xiao, and Atul Prakash.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Mao, Chaowei Xiao, and Atul Prakash
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:34.732345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0ac4df44-b403-4d65-85be-b7334670e218 · outbound
This paper cites Hierarchical features mat- ter: A deep exploration of GAN priors for improved dataset distillation.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Hierarchical features mat- ter: A deep exploration of GAN priors for improved dataset distillation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:34.513065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f0fd8aea-de58-499b-9d64-421d0b81b721 · outbound
This paper cites Dataset distillation using neural feature regression.
Dataset Distillation as Data Compression: A Rate-Utility Perspective Dataset distillation using neural feature regression
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:03:34.303258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e3dead02-8617-4394-b1e9-4465d0ab489b · outbound
This paper cites slice size.
Dataset Distillation as Data Compression: A Rate-Utility Perspective slice size
Reference 65
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T15:03:34.029024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.