Paper Citation Record · LEDGER

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2505.19469.

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

pith.paper-citation-record.v1
2505.19469 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

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measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:41.276853Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:17:45.493763Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
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External citation measurements

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Outbound references

Observation f7e5a298-1406-4502-8cd8-24d7424d3d54 · outbound

This paper cites Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory

Reference 1

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Observation 48c474f6-6899-4a6a-96bd-f717fde54912 · outbound

This paper cites Our method mainly includes three parts: preliminary diffusion model, optimization objectives for dataset distillation, and self-adaptive memory.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Our method mainly includes three parts: preliminary diffusion model, optimization objectives for dataset distillation, and self-adaptive memory

Reference 2

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Observation 1961ceec-ddc2-410d-81f5-94c37ffcaa52 · outbound

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Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Unresolved cited work

Reference 3

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Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Unresolved cited work

Reference 4

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This paper cites A survey on data-efficient algorithms in big data era,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory A survey on data-efficient algorithms in big data era,

Reference 5

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Observation dce8cec7-f431-4ee2-8fb0-08433cf63b77 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Review of deep learning: Concepts, cnn architectures, challenges, applications, future directions,

Reference 6

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Observation c4f2dacf-178e-44f2-9957-2a3e64e69667 · outbound

This paper cites Dataset Distillation.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset Distillation

Reference 7

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Observation f0b17b0e-a863-45a4-a827-178620f31c3f · outbound

This paper cites Scalable Diffusion Models with Transformers.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Scalable Diffusion Models with Transformers

Reference 8

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Observation 86329d11-ee55-4bfe-a071-1d9bc71f6b04 · outbound

This paper cites Awesome dataset distillation,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Awesome dataset distillation,

Reference 9

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Observation 7c66f35e-cccf-4b7d-b4cc-d699de0b1813 · outbound

This paper cites A compre- hensive survey to dataset distillation,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory A compre- hensive survey to dataset distillation,

Reference 10

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Observation c3217614-b77c-4b23-8dc3-54fc2ea72248 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset condensation with gradi- ent matching,

Reference 11

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Observation 6815a417-f302-49f8-b793-b538bf41ac42 · outbound

This paper cites Dataset condensation via efficient synthetic-data pa- rameterization,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset condensation via efficient synthetic-data pa- rameterization,

Reference 12

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Observation 08d69e95-878c-47d9-9ff0-cf37f6142cec · outbound

This paper cites Dataset distillation by matching training trajectories,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset distillation by matching training trajectories,

Reference 13

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Observation 06210e45-31d5-4e83-87d9-1d3a79e839a6 · outbound

This paper cites Dataset distillation using parameter pruning,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset distillation using parameter pruning,

Reference 14

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Observation d621f29e-8a16-4c4f-b579-a9a2b1ce5bf2 · outbound

This paper cites Importance-aware adaptive dataset distillation,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Importance-aware adaptive dataset distillation,

Reference 15

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Observation 51008cd4-f2f9-483c-bd42-43a70ba784bb · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset meta-learning from kernel ridge-regression,

Reference 16

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Observation afcc3051-2868-417c-a8e5-bf539595aabc · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset distillation with infinitely wide convolutional networks,

Reference 17

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Observation 8e307f7f-c156-411f-a5da-325544471a0f · outbound

This paper cites Synthesizing informative training samples with gan,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Synthesizing informative training samples with gan,

Reference 18

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Observation 283ebcac-cb1b-46a8-bfa4-46fe5be3d6c8 · outbound

This paper cites DiM: Distilling Dataset into Generative Model.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory DiM: Distilling Dataset into Generative Model

Reference 19

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Observation be2462c2-95c4-4955-a2d3-263e54119068 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Generative dataset distillation: Balancing global structure and local details,

Reference 20

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Observation 8036417f-9cc6-417e-8729-ee682a6e07e9 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory An efficient dataset condensation plugin and its application to continual learning,

Reference 21

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Observation 5a821f12-b607-4930-bf29-533e0893958a · outbound

This paper cites Un- locking the potential of federated learning: The symphony of dataset distillation via deep generative latents,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Un- locking the potential of federated learning: The symphony of dataset distillation via deep generative latents,

Reference 22

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Observation adc660a7-2e69-4644-96fa-af9a08d46111 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Soft-label anonymous gastric x-ray image distillation,

Reference 23

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Observation c72a2b67-357a-4632-9c7e-f969569f8822 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Compressed gastric image generation based on soft-label dataset distillation for medical data sharing,

Reference 24

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Observation d767c11e-aee3-4032-8db5-ad4877aaa086 · outbound

This paper cites Image super- resolution via iterative refinement,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Image super- resolution via iterative refinement,

Reference 25

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Observation 9f92bacc-58f6-49b5-9d80-1f84bf34a796 · outbound

This paper cites High-resolution image synthe- sis with latent diffusion models,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory High-resolution image synthe- sis with latent diffusion models,

Reference 26

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Observation cfe91948-ebac-4ad2-bf32-48913eb9d0e7 · outbound

This paper cites Efficient dataset distillation via minimax diffusion,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Efficient dataset distillation via minimax diffusion,

Reference 27

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Observation 7c134144-71de-43cd-b2eb-3ab1e541ff2f · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Generative dataset distillation based on diffusion model,

Reference 28

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Observation bb0899e3-8682-4dea-b6f1-f5faa56e9047 · outbound

This paper cites Latent dataset distillation with diffusion models,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Latent dataset distillation with diffusion models,

Reference 29

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Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Auto-Encoding Variational Bayes

Reference 30

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Observation e95a374a-0612-406d-b303-967966aa5d8a · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 31

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This paper cites Herding dynamical weights to learn,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Herding dynamical weights to learn,

Reference 32

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Observation 40db39a3-c39b-478e-8d59-ea90f0dd1528 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dataset condensation with distri- bution matching,

Reference 33

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Observation 86fc4563-ce7d-4218-ac74-ab4ac19ebbe8 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Imagenet: A large-scale hierarchical image database,

Reference 34

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Observation 6d52d254-94ad-4028-a38f-621f63355de9 · outbound

This paper cites imagenette,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory imagenette,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.258359Z

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Observation 4fa352ec-f768-4774-8a38-b1410eba75e5 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Dynamic few-shot vi- sual learning without forgetting,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.077701Z

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This paper cites Deep residual learning for image recognition,.

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Deep residual learning for image recognition,

Reference 37

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Observation 1fcfd3c7-f744-4cd4-a6e0-3d6c3900f057 · outbound

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

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Difffit: Unlocking transferability of large diffusion models via simple parameter- efficient fine-tuning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.716688Z

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

Pith citing papers

Observation f7e5a298-1406-4502-8cd8-24d7424d3d54 · inbound