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Paper Citation Record · LEDGER

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.03331.

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

pith.paper-citation-record.v1
2507.03331 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:17:26.615678Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 074deb31-d52e-4e73-bba5-6fd9a8ed2fa5 · outbound

This paper cites Efros, and Jun-Yan Zhu.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Efros, and Jun-Yan Zhu

Reference 1

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Observation f35103c5-e254-4369-ac35-64b5cb935539 · outbound

This paper cites Efros, and Jun-Yan Zhu.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Efros, and Jun-Yan Zhu

Reference 2

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a62c7595-6c6b-4ad8-b7dc-1aece3e11744 · outbound

This paper cites Chan-Santiago, Praveen Tirupattur, Gaurav Ku- mar Nayak, Gaowen Liu, and Mubarak Shah.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Chan-Santiago, Praveen Tirupattur, Gaurav Ku- mar Nayak, Gaowen Liu, and Mubarak Shah

Reference 3

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Observation a3cd7b6c-aff4-4702-81dd-a6bf7d9f7b8d · outbound

This paper cites Provable and efficient dataset distillation for kernel ridge regression.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Provable and efficient dataset distillation for kernel ridge regression

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0d616a2d-49fb-49a8-a2d6-8da9df979fcc · outbound

This paper cites OPTICAL: Leveraging optimal transport for contribution allocation in dataset distillation.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling OPTICAL: Leveraging optimal transport for contribution allocation in dataset distillation

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9bf18ba5-8616-4b74-81b4-6402183e8134 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Imagenet: A large-scale hierarchical image database

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 675e4920-1e02-496d-ad9b-509184630c2d · outbound

This paper cites Auto-Encoding Variational Bayes.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Auto-Encoding Variational Bayes

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46bcb7eb-9854-4f67-b181-069f2c6420d9 · outbound

This paper cites Calibrated Dataset Condensation for Faster Hyperparameter Search.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Calibrated Dataset Condensation for Faster Hyperparameter Search

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eee6b034-c829-4ed2-8e0b-b74fe9d4e475 · outbound

This paper cites imagenette.https://github.com/fastai/ imagenette, 2019.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling imagenette.https://github.com/fastai/ imagenette, 2019

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0c15a2e9-3cbb-4a04-a1e4-13b4c3251ed9 · outbound

This paper cites Efficient deep learning: A survey on mak- ing deep learning models smaller, faster, and better.ACM Computing Surveys, 55(12):1–37, 2023.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Efficient deep learning: A survey on mak- ing deep learning models smaller, faster, and better.ACM Computing Surveys, 55(12):1–37, 2023

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 49cb8428-a0a9-4b93-a1c0-aa91bb3f4b07 · outbound

This paper cites Dynamic few-shot visual learning without forgetting.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dynamic few-shot visual learning without forgetting

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b7d62934-3813-4a16-b607-17680f83a772 · outbound

This paper cites Efficient dataset distillation via minimax diffusion.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Efficient dataset distillation via minimax diffusion

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 77559f46-50c3-433e-84ac-f9faf85814b6 · outbound

This paper cites Sum- marizing stream data for memory-restricted online continual learning.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Sum- marizing stream data for memory-restricted online continual learning

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.116746Z digest=sha256:f645f5a7f691b943d48858903752d6a2f94a5e040b2cc65aa07938bbbd6a3491

Observation 8ded5484-69b8-4d7d-8552-b3198514a80f · outbound

This paper cites Deep residual learning for image recognition.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Deep residual learning for image recognition

Reference 14

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raw_fallback, observed 2026-08-06T20:17:31.627251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.175569Z digest=sha256:e6545e9af178efbee027772c0ab413a9b57573f875cc979c5e0fae4de5221769

Observation bd9fb363-07a9-425e-af16-78bb29baa84b · outbound

This paper cites Unlocking the potential of federated learning: The sym- phony of dataset distillation via deep generative latents.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Unlocking the potential of federated learning: The sym- phony of dataset distillation via deep generative latents

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8ae47108-de8d-4fd5-b45f-5c27af672903 · outbound

This paper cites Dataset condensation via efficient synthetic- data parameterization.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dataset condensation via efficient synthetic- data parameterization

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bd4afce3-b44c-4401-8328-55fdfca79251 · outbound

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

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Soft-label anonymous gastric x-ray image distillation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 56746ffa-8d7d-4be0-ae3d-942cad8727e6 · outbound

This paper cites Compressed gastric image generation based on soft-label dataset distillation for medical data sharing.Computer Meth- ods and Programs in Biomedicine, 227:107189, 2022.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Compressed gastric image generation based on soft-label dataset distillation for medical data sharing.Computer Meth- ods and Programs in Biomedicine, 227:107189, 2022

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 63bfc25c-8b39-4164-9718-800bce280b3a · outbound

This paper cites Awesome dataset distillation.https : / / github.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Awesome dataset distillation.https : / / github

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 01ae83ee-4de0-45fd-ba19-7ce7c6d3ecef · outbound

This paper cites Dataset distillation using parameter pruning.IEICE Transac- tions on Fundamentals of Electronics, Communications and Computer Sciences, 2023.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dataset distillation using parameter pruning.IEICE Transac- tions on Fundamentals of Electronics, Communications and Computer Sciences, 2023

Reference 20

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raw_fallback, observed 2026-08-06T20:17:30.673321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2a6d6f72-5399-45a0-86bc-646d9f704fa1 · outbound

This paper cites Dataset distillation for medical dataset sharing.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dataset distillation for medical dataset sharing

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:24.706711Z digest=sha256:0b2696d22b4dd70f63c4e9b9cf2b5b5126af5b81110d1930f281298513c12cf4

Observation fc8fdee6-2982-446f-8050-9efd3efaf1f6 · outbound

This paper cites Importance-aware adaptive dataset distillation.Neural Net- works, 2024.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Importance-aware adaptive dataset distillation.Neural Net- works, 2024

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e7f7c1d0-88bc-412a-a587-21608927824d · outbound

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

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Generative dataset distillation: Balancing global structure and local details

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9c63a809-2ee6-4dad-907d-da4e52214f43 · outbound

This paper cites Generative dataset distillation based on self-knowledge distillation.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Generative dataset distillation based on self-knowledge distillation

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 25c06154-bbea-46e5-bfc5-48eb166722a7 · outbound

This paper cites Diversity-driven generative dataset distilla- tion based on diffusion model with self-adaptive memory.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Diversity-driven generative dataset distilla- tion based on diffusion model with self-adaptive memory

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e21e68f1-6fed-4a1f-9f51-7bfdd19a7976 · outbound

This paper cites Hyperbolic dataset distillation.arXiv preprint arXiv:2505.24623, 2025.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Hyperbolic dataset distillation.arXiv preprint arXiv:2505.24623, 2025

Reference 26

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source=pdf_text observed=2026-08-06T20:17:25.085552Z digest=sha256:6a36c5a4ec6cab2c518498a5f8a685a963997290439810bb5bfb774576c11af8

Observation 1f58b1a4-a082-4628-ad55-1d862db5caa4 · outbound

This paper cites The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions

Reference 27

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Source-reported events for the cited work

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Observation 7c780a18-3b67-4164-ada8-e2c124385503 · outbound

This paper cites Reducing catas- trophic forgetting with learning on synthetic data.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Reducing catas- trophic forgetting with learning on synthetic data

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6b3f53dd-e93a-4080-a3f1-3e826bb9846a · outbound

This paper cites Understanding of machine learn- ing with deep learning: architectures, workflow, applications and future directions.Computers, 12(5):1–27, 2023.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Understanding of machine learn- ing with deep learning: architectures, workflow, applications and future directions.Computers, 12(5):1–27, 2023

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6b38a3bd-83e0-4867-9ab8-d468531f33c2 · outbound

This paper cites Dataset meta-learning from kernel ridge-regression.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dataset meta-learning from kernel ridge-regression

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ca9370fa-510d-40be-a0d9-d8cea8f654c7 · outbound

This paper cites Scalable Diffusion Models with Transformers.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Scalable Diffusion Models with Transformers

Reference 31

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Source-reported events for the cited work

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Observation 3e0f62a7-d10b-47d6-830b-74c9250c90d3 · outbound

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Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0423afa0-491c-43eb-91a5-a2c6b56aba59 · outbound

This paper cites an unresolved cited work.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9a5cd3f7-7f4d-45e2-a1fe-f9c30be9cad1 · outbound

This paper cites Fleet, and Mohammad Norouzi.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Fleet, and Mohammad Norouzi

Reference 34

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verified fuzzy
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Observation d6e487b4-4533-4927-b348-2e6c950fe5e3 · outbound

This paper cites Liu, Yuri A.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Liu, Yuri A

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.350523Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5dfc653b-f045-474f-83e8-3f7e3c3ecebf · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 36

Resolution
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no resolver link, observed 2026-08-06T20:17:25.892464Z

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Unavailable: canonical work link unavailable.

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Observation 9cfb6cb1-be62-4562-8c7d-c32377d770c6 · outbound

This paper cites Generative dataset distillation based on diffusion model.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Generative dataset distillation based on diffusion model

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T20:17:28.167035Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cd8015c6-7322-4db4-a3ce-d9d280f3b107 · outbound

This paper cites Generative dataset distillation based on diffusion model.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Generative dataset distillation based on diffusion model

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.956636Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 13877ac7-6ad0-43bb-8b19-476c78eabcb8 · outbound

This paper cites Dataset Distillation.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dataset Distillation

Reference 39

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unresolved
no resolver link, observed 2026-08-06T20:17:26.151255Z

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Unavailable: canonical work link unavailable.

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Observation 1b2f9e79-9ba0-4854-a250-25c7d1a2fe30 · outbound

This paper cites Training data synthesis with difficulty controlled dif- fusion model.arXiv preprint arXiv:2411.18109, pages 1–10,.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Training data synthesis with difficulty controlled dif- fusion model.arXiv preprint arXiv:2411.18109, pages 1–10,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:26.207106Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:26.207106Z digest=sha256:4fd4a678624774221b6bdd7a4849681a24ed517ea8d30f4181490cbe03620ee1

Observation 30602273-c835-45d2-915c-5a2c0f5740ef · outbound

This paper cites Herding dynamical weights to learn.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Herding dynamical weights to learn

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.760684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:26.270958Z digest=sha256:43806051aca65ba04e44628afbeafdea2e051d9fe2bf994ee1c302613dcf0c24

Observation 754b59e7-0110-420e-9e23-631ad6a659c1 · outbound

This paper cites Difffit: Un- locking transferability of large diffusion models via simple parameter-efficient fine-tuning.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Difffit: Un- locking transferability of large diffusion models via simple parameter-efficient fine-tuning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.584503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:26.368679Z digest=sha256:db78e19a752ce8b82c08410f4b1a387ff8e8f9332e2fcad9ba4a629b85b01c78

Observation a8aaad15-ab6f-4a43-aed3-9a0facde3c74 · outbound

This paper cites Dataset condensation with gradi- ent matching.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dataset condensation with gradi- ent matching

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.382218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:26.421307Z digest=sha256:34d746cdda5bc961185c9d4189602e0dd400c833a03e027f9cc931db5c8cecfe

Observation b0b3b996-5023-49bd-b9e2-269c2c5cf281 · outbound

This paper cites Synthesizing informative training samples with gan.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Synthesizing informative training samples with gan

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.227788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:26.495808Z digest=sha256:d050fa29ef22353f1c70dcf8d67a5c4023cc597f4a9650cf67112b4b4c324b40

Observation 0737342f-740a-4319-99ca-032c8356d886 · outbound

This paper cites Dataset condensation with distri- bution matching.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Dataset condensation with distri- bution matching

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:27.102784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:26.569448Z digest=sha256:24731a21886c493ee4d5afe4d66acf706f87eeb5022edd01eac496d6e4009d77

Observation 0528cd94-d7e4-4250-8429-7dc03d2acfcd · outbound

This paper cites Differentially private dataset condensation.

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling Differentially private dataset condensation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:26.969818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:17:26.615678Z digest=sha256:7bb87819f102156abb2ddae55bc219c89cd2652c3e01fda225f1381807d25413

Pith citing papers

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