Paper Citation Record · LEDGER

Generative Dataset Distillation Based on Self-knowledge Distillation

As of 21 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2501.04202.

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

pith.paper-citation-record.v1
2501.04202 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:43:09.658769Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:43:09.503520Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:43:09.731514Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy31
unresolved7
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6819862b-0a1d-4566-b538-bb7f9cb36624 · outbound

This paper cites Generative Dataset Distillation Based on Self-knowledge Distillation.

Generative Dataset Distillation Based on Self-knowledge Distillation Generative Dataset Distillation Based on Self-knowledge Distillation

Reference 1

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Observation f1cd13b0-a9fe-41b7-a963-a75522f5deab · outbound

This paper cites First, we train a generative adversarial network (GAN) to generate a synthetic dataset S.

Generative Dataset Distillation Based on Self-knowledge Distillation First, we train a generative adversarial network (GAN) to generate a synthetic dataset S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:10.310452Z

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Observation e7c55a52-13db-482b-b4aa-16c0817d54fb · outbound

This paper cites Datasets and Comparative Methods We conducted extensive experiments to verify the effectiveness of the proposed method.

Generative Dataset Distillation Based on Self-knowledge Distillation Datasets and Comparative Methods We conducted extensive experiments to verify the effectiveness of the proposed method

Reference 3

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Observation c46bc187-f36b-46ff-8948-df610b960900 · outbound

This paper cites an unresolved cited work.

Generative Dataset Distillation Based on Self-knowledge Distillation Unresolved cited work

Reference 4

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Observation a0936935-c4a8-4639-bbcb-54cf6e5ecbd9 · outbound

This paper cites A survey of deep learning and its applica- tions: a new paradigm to machine learning,.

Generative Dataset Distillation Based on Self-knowledge Distillation A survey of deep learning and its applica- tions: a new paradigm to machine learning,

Reference 5

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Observation 15427311-4303-4d7d-8adf-e1d653b5ef45 · outbound

This paper cites Review of deep learning: Concepts, cnn architectures, challenges, applications, future directions,.

Generative Dataset Distillation Based on Self-knowledge Distillation Review of deep learning: Concepts, cnn architectures, challenges, applications, future directions,

Reference 6

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Observation 85acb206-aebd-4d48-8077-fa7c6287a315 · outbound

This paper cites Applica- tions for deep learning in ecology,.

Generative Dataset Distillation Based on Self-knowledge Distillation Applica- tions for deep learning in ecology,

Reference 7

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Observation a1705bee-a1f7-4ac3-b057-40e0aecb2d6b · outbound

This paper cites Big healthcare data: preserving security and pri- vacy,.

Generative Dataset Distillation Based on Self-knowledge Distillation Big healthcare data: preserving security and pri- vacy,

Reference 8

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Observation a171cdb1-f9e4-4ec1-8446-e5a3641bfe94 · outbound

This paper cites Dataset Distillation.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset Distillation

Reference 9

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Observation 1354114d-9240-4bf3-b960-ca5673965954 · outbound

This paper cites Awesome dataset distillation,.

Generative Dataset Distillation Based on Self-knowledge Distillation Awesome dataset distillation,

Reference 10

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Observation 35242b37-7702-4ad5-9ae2-b11fefe1aded · outbound

This paper cites Soft-label anonymous gastric x-ray image distillation,.

Generative Dataset Distillation Based on Self-knowledge Distillation Soft-label anonymous gastric x-ray image distillation,

Reference 11

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Observation 686ad3ef-fe51-4ae0-b804-d5a41738faa2 · outbound

This paper cites Compressed gastric image generation based on soft-label dataset distillation for medical data sharing,.

Generative Dataset Distillation Based on Self-knowledge Distillation Compressed gastric image generation based on soft-label dataset distillation for medical data sharing,

Reference 12

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Observation 9e057375-5b97-4e9f-abb2-80ec6f78f377 · outbound

This paper cites Dataset distillation for medical dataset sharing,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset distillation for medical dataset sharing,

Reference 13

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Observation 52aefd1e-c12c-4b77-ba55-d506e3eb8047 · outbound

This paper cites An efficient dataset condensation plugin and its application to continual learning,.

Generative Dataset Distillation Based on Self-knowledge Distillation An efficient dataset condensation plugin and its application to continual learning,

Reference 14

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Observation b73a7a7f-f983-47af-a106-5453cf1448b5 · outbound

This paper cites Feder- ated learning via decentralized dataset distillation in resource- constrained edge environments,.

Generative Dataset Distillation Based on Self-knowledge Distillation Feder- ated learning via decentralized dataset distillation in resource- constrained edge environments,

Reference 15

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Observation dd920b63-79fb-4793-b56f-4b4c127b1da3 · outbound

This paper cites Generative teaching networks: Accelerating neural architecture search by learning to generate synthetic training data,.

Generative Dataset Distillation Based on Self-knowledge Distillation Generative teaching networks: Accelerating neural architecture search by learning to generate synthetic training data,

Reference 16

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Observation 7d2b591f-1fb7-4187-becb-e9ed62a4881c · outbound

This paper cites Dataset condensation with gradi- ent matching,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset condensation with gradi- ent matching,

Reference 17

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Observation 23ed45e2-f176-4219-995c-ace77003cb3a · outbound

This paper cites Dataset distillation by matching training trajectories,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset distillation by matching training trajectories,

Reference 18

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Observation 29ae5c49-1245-4751-b1a0-6a3b4f5f9913 · outbound

This paper cites Importance-aware adaptive dataset distillation,.

Generative Dataset Distillation Based on Self-knowledge Distillation Importance-aware adaptive dataset distillation,

Reference 19

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Observation bd120e02-c815-4c02-b9a8-d5b086310853 · outbound

This paper cites DiM: Distilling Dataset into Generative Model.

Generative Dataset Distillation Based on Self-knowledge Distillation DiM: Distilling Dataset into Generative Model

Reference 20

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Observation 8c243b19-a216-4e40-aede-e8661218e35f · outbound

This paper cites Generative dataset distillation: Balancing global structure and local details,.

Generative Dataset Distillation Based on Self-knowledge Distillation Generative dataset distillation: Balancing global structure and local details,

Reference 21

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Observation 4b4cf053-e43a-4465-a6b4-22ea0cb83b42 · outbound

This paper cites Generative dataset distillation based on diffusion model,.

Generative Dataset Distillation Based on Self-knowledge Distillation Generative dataset distillation based on diffusion model,

Reference 22

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Observation d5012ed8-e838-4708-8bda-112dab2e6b66 · outbound

This paper cites Generative adversarial nets,.

Generative Dataset Distillation Based on Self-knowledge Distillation Generative adversarial nets,

Reference 23

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Observation b9501a04-9b63-4c57-ada4-905fe5f069e9 · outbound

This paper cites Super-samples from kernel herding,.

Generative Dataset Distillation Based on Self-knowledge Distillation Super-samples from kernel herding,

Reference 24

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Observation 70626533-1fab-414d-812d-e3071b8f2f77 · outbound

This paper cites Fair clustering through fairlets,.

Generative Dataset Distillation Based on Self-knowledge Distillation Fair clustering through fairlets,

Reference 25

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Observation fb384682-1f25-48aa-b766-cfa73da4c67c · outbound

This paper cites An empirical study of example forgetting during deep neural net- work learning,.

Generative Dataset Distillation Based on Self-knowledge Distillation An empirical study of example forgetting during deep neural net- work learning,

Reference 26

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Observation b7da23df-a60a-4cc4-be91-8d3a34a43882 · outbound

This paper cites Dataset condensation with dif- ferentiable siamese augmentation,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset condensation with dif- ferentiable siamese augmentation,

Reference 27

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Observation 0357bbc8-c4d6-42c0-8223-d90324314b20 · outbound

This paper cites Dataset condensation with distri- bution matching,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset condensation with distri- bution matching,

Reference 28

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Observation d7882ad7-95c9-4044-a508-cc9bb5631f69 · outbound

This paper cites CAFE: Learning to condense dataset by aligning features,.

Generative Dataset Distillation Based on Self-knowledge Distillation CAFE: Learning to condense dataset by aligning features,

Reference 29

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Observation e3316184-458c-4c56-b673-d80bb79cf57b · outbound

This paper cites Dataset distillation with infinitely wide convolutional networks,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset distillation with infinitely wide convolutional networks,

Reference 30

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Observation 2a563218-996d-4b4a-a0d1-7611bf2682bc · outbound

This paper cites Dataset distillation using neural feature regression,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dataset distillation using neural feature regression,

Reference 31

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Observation dcbdfdd9-2c03-4bcd-a414-b067ea12f824 · outbound

This paper cites Conditional Generative Adversarial Nets.

Generative Dataset Distillation Based on Self-knowledge Distillation Conditional Generative Adversarial Nets

Reference 32

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Observation 03e1bf5e-534e-4d60-9038-263e41387595 · outbound

This paper cites Gradient-based learning applied to document recog- nition,.

Generative Dataset Distillation Based on Self-knowledge Distillation Gradient-based learning applied to document recog- nition,

Reference 33

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Observation 05bf6a4e-e63e-4f93-be04-9faad0670823 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Generative Dataset Distillation Based on Self-knowledge Distillation Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 34

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Observation a2716e42-5f51-406a-a39c-02699954b6ff · outbound

This paper cites Learning multiple layers of features from tiny images,.

Generative Dataset Distillation Based on Self-knowledge Distillation Learning multiple layers of features from tiny images,

Reference 35

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Observation d279505c-f951-4806-a0d5-2ef0108afedd · outbound

This paper cites Dynamic few-shot vi- sual learning without forgetting,.

Generative Dataset Distillation Based on Self-knowledge Distillation Dynamic few-shot vi- sual learning without forgetting,

Reference 36

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Observation cb0648e3-153e-483d-95ef-efe6d428e39b · outbound

This paper cites Deep residual learning for image recognition,.

Generative Dataset Distillation Based on Self-knowledge Distillation Deep residual learning for image recognition,

Reference 37

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Observation 102cd3bc-af7f-4e1b-b744-ab6b3a93009e · outbound

This paper cites Im- agenet classification with deep convolutional neural networks,.

Generative Dataset Distillation Based on Self-knowledge Distillation Im- agenet classification with deep convolutional neural networks,

Reference 38

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Observation 17f22e11-de76-427e-8c6c-67e981b31f7c · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition,.

Generative Dataset Distillation Based on Self-knowledge Distillation Very deep convo- lutional networks for large-scale image recognition,

Reference 39

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Pith citing papers

Observation 6819862b-0a1d-4566-b538-bb7f9cb36624 · inbound