Paper Citation Record · LEDGER

CONCORD: Concept-Informed Diffusion for Dataset Distillation

As of 14 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2505.18358.

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

pith.paper-citation-record.v1
2505.18358 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:46.630972Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:22:33.482498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.003831Z

Reference resolution

68 of 68 outbound references displayed

verified exact5
verified fuzzy49
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 647f3a31-b7ce-45b4-9714-e5b928017f5c · outbound

This paper cites Sequential Modeling Enables Scalable Learning for Large Vision Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Sequential Modeling Enables Scalable Learning for Large Vision Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:40.473772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b6cfb6-eac9-48b9-9752-29c8ac981f7b · outbound

This paper cites Food-101–mining discriminative components with random forests.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Food-101–mining discriminative components with random forests

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:48.111084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6d9894e-d35f-45f4-aaaa-dfb392d06771 · outbound

This paper cites Language models are few-shot learners.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Language models are few-shot learners

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:48.096812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a82f59b2-f2ea-4eaf-88bf-ad5f87f9c0e1 · outbound

This paper cites Dataset distillation by matching training trajectories.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset distillation by matching training trajectories

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:48.082975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10e25a4a-0cb8-4082-aef4-8b19b663c5d3 · outbound

This paper cites Generalizing dataset dis- tillation via deep generative prior.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Generalizing dataset dis- tillation via deep generative prior

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:48.068897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f87c5202-11f9-410f-b3d1-a0034e2047bc · outbound

This paper cites When large language models meet personalization: Perspectives of challenges and opportuni- ties.

CONCORD: Concept-Informed Diffusion for Dataset Distillation When large language models meet personalization: Perspectives of challenges and opportuni- ties

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:48.052508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 766351b1-9109-4352-afd1-1524907c3ae7 · outbound

This paper cites Diffedit: Diffusion-based semantic image editing with mask guidance.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Diffedit: Diffusion-based semantic image editing with mask guidance

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:48.005845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e028c239-b3f7-4de8-a65b-b19b91258d23 · outbound

This paper cites Scaling up dataset distillation to imagenet-1k with constant memory.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Scaling up dataset distillation to imagenet-1k with constant memory

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.986408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7b21a6b9-ca33-41c2-91c1-7c6233aece45 · outbound

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

CONCORD: Concept-Informed Diffusion for Dataset Distillation ImageNet: A large-scale hierarchical image database

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.972622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41b8c2de-3c23-4646-ba43-eb37292bb45e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

CONCORD: Concept-Informed Diffusion for Dataset Distillation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:41.452485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c527604-1a3e-4f4f-8a46-d1f303b72039 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Diffusion Models Beat GANs on Image Synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.957802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ef57403-8702-4846-b557-1831372962bf · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CONCORD: Concept-Informed Diffusion for Dataset Distillation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.940510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eba51e47-31ad-4ce3-9367-6708c99d9f47 · outbound

This paper cites Human-centered explainable ai (hcxai): Reloading explainability in the era of large language models (llms).

CONCORD: Concept-Informed Diffusion for Dataset Distillation Human-centered explainable ai (hcxai): Reloading explainability in the era of large language models (llms)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.921108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1835b71-ed77-40aa-9e2f-ef9eded57b07 · outbound

This paper cites Fastai/imagenette: A smaller subset of 10 easily clas- sified classes from imagenet, and a little more french.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Fastai/imagenette: A smaller subset of 10 easily clas- sified classes from imagenet, and a little more french

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.902978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04f96409-a49c-455c-8db8-5c1685cdd204 · outbound

This paper cites Efficient dataset distillation via minimax diffusion.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Efficient dataset distillation via minimax diffusion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.884417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e57f41ad-8fd8-4ff9-9490-066bda9c040d · outbound

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

CONCORD: Concept-Informed Diffusion for Dataset Distillation Sum- marizing stream data for memory-restricted online continual learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.857455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adccf9f7-248a-4816-ad4b-c7f96d1b39cc · outbound

This paper cites Deep residual learning for image recognition.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Deep residual learning for image recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.839605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f596871f-5a50-465c-8190-946da003c098 · outbound

This paper cites Masked autoencoders are scalable vision learners.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Masked autoencoders are scalable vision learners

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:41.875349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3964b0f9-1e41-4a4c-b328-789d52c28444 · outbound

This paper cites Prompt-to-prompt image editing with cross-attention control.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Prompt-to-prompt image editing with cross-attention control

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.812899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0e6cb1ac-80d0-411a-87b1-d6064587d8fd · outbound

This paper cites Denoising Dif- fusion Probabilistic Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Denoising Dif- fusion Probabilistic Models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.797234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e9d11052-c97f-4795-a5cb-a2894cff5995 · outbound

This paper cites Supervised contrastive learning.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Supervised contrastive learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.783389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1f58ff3c-460e-49de-9ebb-d6aff70bfe20 · outbound

This paper cites Dif- fusionclip: Text-guided diffusion models for robust image manipulation.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dif- fusionclip: Text-guided diffusion models for robust image manipulation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.767507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7c719bd-0252-42e6-8de1-fe5e385a77d5 · outbound

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

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset condensation via efficient synthetic- data parameterization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.752988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8fb1d92-eb63-4f95-ae99-eb6bd2948759 · outbound

This paper cites Variational diffusion models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Variational diffusion models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.738175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae62575b-21c6-4882-a0ff-1fb80c2280c7 · outbound

This paper cites In-Context Explainers: Harnessing LLMs for Explaining Black Box Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation In-Context Explainers: Harnessing LLMs for Explaining Black Box Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:42.642848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de45de8-d429-4cf1-b97a-f7e4afabb0c1 · outbound

This paper cites Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:47.208092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 803d1ca6-5d8b-4e3e-af21-71827b2b385e · outbound

This paper cites Diffusion-based image translation using disentangled style and content representa- tion.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Diffusion-based image translation using disentangled style and content representa- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.722669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f04001a3-12e1-49ec-9bc3-ee42440a220b · outbound

This paper cites Dataset distillation via factorization.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset distillation via factorization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.706986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f190b47-35c7-43e2-ba29-2d4b3b74324b · outbound

This paper cites Dream: Efficient dataset distillation by rep- resentative matching.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dream: Efficient dataset distillation by rep- resentative matching

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.692272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87affd48-c97d-4a1f-a670-6caf3fde6c7a · outbound

This paper cites Efficient dataset distillation using random feature ap- proximation.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Efficient dataset distillation using random feature ap- proximation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.677338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01f1bbd9-cead-41f9-bfb3-5a1ad9a4e150 · outbound

This paper cites Dataset Distillation with Convexified Implicit Gradients.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset Distillation with Convexified Implicit Gradients

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:43.409236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ba9f3a0-9998-4d22-88cc-ecda3f06bf91 · outbound

This paper cites DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation.

CONCORD: Concept-Informed Diffusion for Dataset Distillation DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:43.461433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f6e318-0dbe-4945-8dea-ff16dd5606e9 · outbound

This paper cites Visual classification via description from large language models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Visual classification via description from large language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.661191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fc7bfe92-6e3d-4efc-93d2-942b6037bcf8 · outbound

This paper cites Latent dataset distillation with diffusion models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Latent dataset distillation with diffusion models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:43.685043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0dd75fd-f975-4c85-b359-81cfc535f1d3 · outbound

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

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset meta-learning from kernel ridge-regression

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.645552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a3473329-059b-493b-b810-f6c99c95efd3 · outbound

This paper cites Dataset distillation with infinitely wide convolutional networks.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset distillation with infinitely wide convolutional networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.630040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc634897-abb0-49bd-88bb-ec38992e460f · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Improved Denoising Diffusion Probabilistic Models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.613965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5cef7388-8009-46a5-8b06-c157f8b7d8e8 · outbound

This paper cites ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations.

CONCORD: Concept-Informed Diffusion for Dataset Distillation ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:47.045825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b6c0593-906d-4fe9-9706-3fbb010547d0 · outbound

This paper cites Scalable diffusion models with transformers.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Scalable diffusion models with transformers

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.598136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5017daeb-1680-45ad-adbf-b81866170a3e · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Learn- ing transferable visual models from natural language super- vision

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:44.289374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39337300-543b-45e3-826f-0337dd237940 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:44.440169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9202e78-0626-4d03-9d0f-99040f1257d5 · outbound

This paper cites An empirical bayes approach to statis- tics.

CONCORD: Concept-Informed Diffusion for Dataset Distillation An empirical bayes approach to statis- tics

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.573357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 920e5571-ca7c-4033-bd11-10b589606b42 · outbound

This paper cites High-Resolution Image Synthesis With Latent Diffusion Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation High-Resolution Image Synthesis With Latent Diffusion Models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.557780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4f37ee2c-dbb4-443f-8722-10d7cefb10da · outbound

This paper cites Data distillation: A survey.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Data distillation: A survey

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.541926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e4bf1f4e-b500-48bc-b50b-3eb1e9ed8611 · outbound

This paper cites Laion-5b: An open large-scale dataset for train- ing next generation image-text models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Laion-5b: An open large-scale dataset for train- ing next generation image-text models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.524769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 134a770f-24af-429d-9d86-41f70029b13a · outbound

This paper cites Active learning for convolu- tional neural networks: A core-set approach.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Active learning for convolu- tional neural networks: A core-set approach

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:45.151064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4eba7ed-ae44-49d8-9e96-61bbeeb5389a · outbound

This paper cites A fast knowledge distillation framework for visual recognition.

CONCORD: Concept-Informed Diffusion for Dataset Distillation A fast knowledge distillation framework for visual recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.497951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f12c9976-7dd6-4b80-8f5f-aeb29cc6438d · outbound

This paper cites Denoising Diffusion Implicit Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Denoising Diffusion Implicit Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:45.296983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537a486b-a088-4bc5-a9e4-2a0a2076431b · outbound

This paper cites Dˆ 4: Dataset distillation via disentangled diffusion model.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dˆ 4: Dataset distillation via disentangled diffusion model

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.482872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6cd3e5d-62b7-4b97-bcd4-8e6b568f06b5 · outbound

This paper cites On the diversity and realism of distilled dataset: An efficient dataset distilla- tion paradigm.

CONCORD: Concept-Informed Diffusion for Dataset Distillation On the diversity and realism of distilled dataset: An efficient dataset distilla- tion paradigm

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.467845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 395e4a78-4be1-4b79-940c-77b3031fabe5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation LLaMA: Open and Efficient Foundation Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:45.685435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c2ed7d-89e5-49bc-885f-257aed2adb18 · outbound

This paper cites Group Distributionally Robust Dataset Distillation with Risk Minimization.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Group Distributionally Robust Dataset Distillation with Risk Minimization

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:46.978092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf5b998d-83b8-49c8-a3f2-2c62ef95214f · outbound

This paper cites DiM: Distilling Dataset into Generative Model.

CONCORD: Concept-Informed Diffusion for Dataset Distillation DiM: Distilling Dataset into Generative Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:45.876191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8689fe54-2182-4feb-a1bc-a8b6dd2e98db · outbound

This paper cites Dataset Distillation.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset Distillation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:45.967844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d042778b-5622-4e6b-8da8-1b322461b44a · outbound

This paper cites Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:46.926931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7622fe5-8d41-4f44-b97e-ae9ea681f8b1 · outbound

This paper cites Sparse parameterization for epitomic dataset distillation.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Sparse parameterization for epitomic dataset distillation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.453159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bbda59a6-c7bd-4b9e-8b35-43b95d1dc381 · outbound

This paper cites Herding dynamical weights to learn.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Herding dynamical weights to learn

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.436479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7303e34-2c34-48ad-acad-f20f3337e791 · outbound

This paper cites Understanding data augmentation for classification: when to warp? In DICTA, pages 1–6.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Understanding data augmentation for classification: when to warp? In DICTA, pages 1–6

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.420445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e8aa1ed-75c9-44fb-900c-70ffad8b5ffe · outbound

This paper cites FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning.

CONCORD: Concept-Informed Diffusion for Dataset Distillation FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.404531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f659631f-0792-4a91-9ff5-2f150949e476 · outbound

This paper cites Controlled Training Data Generation with Diffusion Models.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Controlled Training Data Generation with Diffusion Models

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:35:46.895787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dbbce96e-68de-4d09-ab67-5a56568b2f19 · outbound

This paper cites Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.387230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8e43c0c-cffb-4601-92a2-25d519324065 · outbound

This paper cites Dataset dis- tillation: A comprehensive review.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset dis- tillation: A comprehensive review

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.371525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7f9690cb-7696-41a5-b3cd-96505e4de9b6 · outbound

This paper cites Cutmix: Regu- larization strategy to train strong classifiers with localizable features.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Cutmix: Regu- larization strategy to train strong classifiers with localizable features

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.355836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4df200b0-b0a7-448f-b9d8-5ed87b21ee3a · outbound

This paper cites Dataset condensation with distri- bution matching.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset condensation with distri- bution matching

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.338108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation acc7562c-e18e-4bf9-a211-ff3b4db281e5 · outbound

This paper cites Dataset condensation with gradient matching.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset condensation with gradient matching

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.321035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d5a546ea-63af-45f3-a65e-841f01db2efd · outbound

This paper cites Im- proved Distribution Matching for Dataset Condensation.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Im- proved Distribution Matching for Dataset Condensation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.304885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a98c8a8-041c-4560-9090-1f22158d64d6 · outbound

This paper cites Dataset quantization.

CONCORD: Concept-Informed Diffusion for Dataset Distillation Dataset quantization

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.288785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 777ee5f3-3f59-4a06-8ca0-a13bc88e9cb7 · outbound

This paper cites a photo of a nice {$class name}.

CONCORD: Concept-Informed Diffusion for Dataset Distillation a photo of a nice {$class name}

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:35:47.272589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation e8e22310-b8cf-4a7e-be9d-fb2d2a69f76c · inbound

Structural Assessment for Understanding and Guiding Dataset Distillation in Discrete Token Space cites this paper.

Structural Assessment for Understanding and Guiding Dataset Distillation in Discrete Token Space CONCORD: Concept-Informed Diffusion for Dataset Distillation

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:37.005146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.