Paper Citation Record · LEDGER

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2506.22637.

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

pith.paper-citation-record.v1
2506.22637 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:06:38.353579Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:50:35.323382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:36.980904Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa72c2c9-59b3-4c2f-9077-8bcb025aa041 · outbound

This paper cites Curriculum learning.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Curriculum learning

Reference 1

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Observation a48a7ba0-40e4-41fe-a958-d6d8ebec86ec · outbound

This paper cites Efros, and Jun-Yan Zhu.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Efros, and Jun-Yan Zhu

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:48.429574Z

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Observation 8cc1bdd8-3050-41e5-ad70-a20a48c49ea8 · outbound

This paper cites Efros, and Jun-Yan Zhu.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Efros, and Jun-Yan Zhu

Reference 3

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Observation df3bb2c5-c865-42b9-8fa0-6b1d6af776ee · outbound

This paper cites Robust Classification via a Single Diffusion Model.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Robust Classification via a Single Diffusion Model

Reference 4

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Observation 64310dce-e5f2-402c-a43b-407b7ef962e4 · outbound

This paper cites Influence-guided diffusion for dataset distillation.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Influence-guided diffusion for dataset distillation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:48.028645Z

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Observation 0deccecb-a3d1-4bf1-964c-a2a1eca4a22a · outbound

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

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Scaling up dataset distillation to imagenet-1k with constant memory

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:47.819890Z

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Observation 49cb04d7-6bfa-4f4c-80a9-854bc32d46a0 · outbound

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

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Imagenet: A large-scale hierarchical image database

Reference 7

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Observation 51ec6192-3a94-442e-9383-99ded0e793df · outbound

This paper cites Minimizing the accumulated trajectory error to improve dataset distillation.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Minimizing the accumulated trajectory error to improve dataset distillation

Reference 8

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Observation 445f1078-0bf3-4b2a-a6c1-f5089b88b385 · outbound

This paper cites Efficient dataset distillation via minimax diffusion.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Efficient dataset distillation via minimax diffusion

Reference 9

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Observation 679a8125-4fc5-44b2-9f53-724744b31c92 · outbound

This paper cites Towards lossless dataset distillation via difficulty-aligned trajectory matching.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Towards lossless dataset distillation via difficulty-aligned trajectory matching

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:47.142295Z

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Observation aca76282-33b9-42b2-acbe-c95bf12e51a2 · outbound

This paper cites Deep residual learning for image recognition, 2015.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Deep residual learning for image recognition, 2015

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:46.911337Z

Source-reported events for the cited work

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Observation ceafca7a-02c5-44b3-b001-10acbe5b1dfc · outbound

This paper cites You only condense once: Two rules for pruning condensed datasets,.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation You only condense once: Two rules for pruning condensed datasets,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:46.718697Z

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Observation 5524c585-216b-4047-9f13-52a92c591381 · outbound

This paper cites Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco An- dreetto, and Hartwig Adam.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco An- dreetto, and Hartwig Adam

Reference 13

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Observation d32f110e-39c5-4333-90fe-6533348e6079 · outbound

This paper cites Imagenette: A smaller subset of 10 easily classified classes from imagenet, 2019.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Imagenette: A smaller subset of 10 easily classified classes from imagenet, 2019

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:46.340107Z

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Observation e6a678f0-961c-44f7-9ad5-96f7a9b4132e · outbound

This paper cites Imagewoof: a subset of 10 classes from imagenet that aren’t so easy to classify, 2019.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Imagewoof: a subset of 10 classes from imagenet that aren’t so easy to classify, 2019

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:46.117396Z

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Observation 368f8f10-fa2d-420f-a1e7-105ba9a4ae7a · outbound

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

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset condensation via efficient synthetic- data parameterization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:45.918728Z

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Observation 4bcce419-a7b6-43a1-b71b-dc2cbe72c061 · outbound

This paper cites Kingma and Jimmy Ba.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Kingma and Jimmy Ba

Reference 17

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Observation 83e9dd97-9c8a-4d8c-8a04-43cf73f6c0c4 · outbound

This paper cites Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, and Deepak Pathak.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, and Deepak Pathak

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:45.715068Z

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Observation 9cdfc5a1-0612-4ffa-8eb5-ab539c18fc5d · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Autoregressive Image Generation without Vector Quantization

Reference 19

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Observation be318fe6-aa9a-4ffa-b31b-5c0e45de5d8a · outbound

This paper cites Prioritize alignment in dataset distillation, 2024.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Prioritize alignment in dataset distillation, 2024

Reference 20

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Observation 7729fe7a-d642-4ab5-9185-4eec0b12fc58 · outbound

This paper cites Prioritize alignment in dataset distillation, 2024.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Prioritize alignment in dataset distillation, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:45.297968Z

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Observation a08be07c-ac54-4a43-b364-ff3015965a17 · outbound

This paper cites Plataniotis, Bo Zhao, Zhangyang Wang, Yang You, and Kai Wang.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Plataniotis, Bo Zhao, Zhangyang Wang, Yang You, and Kai Wang

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:45.115506Z

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Observation cebc9f7b-8507-4e2b-a095-d352504c8b60 · outbound

This paper cites Darts: Differentiable architecture search, 2019.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Darts: Differentiable architecture search, 2019

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:44.917043Z

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Observation 2906f492-e7b4-440a-b049-c160c75a5af7 · outbound

This paper cites Dream: Efficient dataset distillation by rep- resentative matching, 2023.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dream: Efficient dataset distillation by rep- resentative matching, 2023

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:44.701471Z

Source-reported events for the cited work

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Observation 655379c3-98d3-400b-b309-f8e3df2cf385 · outbound

This paper cites Reducing catas- trophic forgetting with learning on synthetic data, 2020.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Reducing catas- trophic forgetting with learning on synthetic data, 2020

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:44.505887Z

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Observation fd2632dc-a492-4ac2-b591-a0bd049e967d · outbound

This paper cites Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, and Andreas Dengel.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Moser, Federico Raue, Sebastian Palacio, Stanislav Frolov, and Andreas Dengel

Reference 26

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Observation f012557f-0e46-485a-8af2-6f30c7c9a9a9 · outbound

This paper cites Deep learning on a data diet: Finding important exam- ples early in training, 2023.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Deep learning on a data diet: Finding important exam- ples early in training, 2023

Reference 27

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Observation 16424d57-864d-4dfa-b2f9-5d9a3c0ed9d0 · outbound

This paper cites Scalable Diffusion Models with Transformers.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Scalable Diffusion Models with Transformers

Reference 28

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Observation 516c12b4-d8c5-4bea-8d84-7f3a9a94b97a · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation High-resolution image syn- thesis with latent diffusion models, 2021

Reference 29

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Observation e4a1771c-0c5c-418e-a90c-6f434d1f72a4 · outbound

This paper cites Berg, and Li Fei-Fei.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Berg, and Li Fei-Fei

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:06:36.389603Z

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Observation 375751c0-f896-4916-bf95-0cb98d6ca409 · outbound

This paper cites Generalized large-scale data condensa- tion via various backbone and statistical matching, 2024.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Generalized large-scale data condensa- tion via various backbone and statistical matching, 2024

Reference 31

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Observation 705d5714-d310-4989-b446-333e24f4d92f · outbound

This paper cites Elucidating the design space of dataset condensation,.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Elucidating the design space of dataset condensation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:43.759418Z

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Observation b7bad36b-d792-477b-a5f8-ca61b1070f81 · outbound

This paper cites Dˆ4m: Dataset distillation via disentangled diffu- sion model.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dˆ4m: Dataset distillation via disentangled diffu- sion model

Reference 33

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Observation 20825e18-21e7-442c-a651-b9dcfdfaaaa5 · outbound

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

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation On the diversity and realism of distilled dataset: An efficient dataset distilla- tion paradigm

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:43.219071Z

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Observation 671d5ebf-b624-4cf2-9e13-345a66564da1 · outbound

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CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Unresolved cited work

Reference 35

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Observation ac557bd2-97cc-4a0e-8591-f2d3f9be6dd6 · outbound

This paper cites Cafe: Learning to condense dataset by align- ing features.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Cafe: Learning to condense dataset by align- ing features

Reference 36

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Observation 75eba40b-f887-413c-8a10-23287758550f · outbound

This paper cites Dataset dis- tillation with neural characteristic function: A minmax per- spective, 2025.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset dis- tillation with neural characteristic function: A minmax per- spective, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:42.718258Z

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Observation cf001e75-dc3d-4f73-83d3-51971fb9e3ef · outbound

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CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Unresolved cited work

Reference 38

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Observation 500bf14b-9ef3-4f53-b1ce-e6791aec31db · outbound

This paper cites Distill gold from mas- sive ores: Bi-level data pruning towards efficient dataset dis- tillation, 2024.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Distill gold from mas- sive ores: Bi-level data pruning towards efficient dataset dis- tillation, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:42.423717Z

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Observation a1463a5d-6f5c-4093-8869-c5613d3af63b · outbound

This paper cites Dataset Distillation via Curriculum Data Synthesis in Large Data Era.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset Distillation via Curriculum Data Synthesis in Large Data Era

Reference 40

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Observation b0b9e2e6-5b46-46ea-b615-602b10b988b8 · outbound

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

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:42.088087Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5bf8c6db-839b-4404-b7c9-c79b89dcc463 · outbound

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

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset dis- tillation: A comprehensive review

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:41.731687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 704a7d8e-f7d0-4563-b325-cdf087952e4b · outbound

This paper cites Dataset condensation with dis- tribution matching.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset condensation with dis- tribution matching

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:41.438423Z

Source-reported events for the cited work

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Observation 04bf1d94-2251-465e-a1f9-297c75e8e95b · outbound

This paper cites Dataset condensation with gradient matching.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset condensation with gradient matching

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:41.130414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29ae1d90-5076-44a4-890f-bce8bb6dc75c · outbound

This paper cites Im- proved distribution matching for dataset condensation.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Im- proved distribution matching for dataset condensation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:40.986097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98bf91a6-5c6d-4a88-83f3-8543e50338c4 · outbound

This paper cites Dataset Quantization with Active Learning based Adaptive Sampling.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Dataset Quantization with Active Learning based Adaptive Sampling

Reference 46

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Source-reported events for the cited work

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Observation e36d6799-4855-4906-a457-96002da0a2c4 · outbound

This paper cites Distilling long-tailed datasets, 2024.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Distilling long-tailed datasets, 2024

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:40.806104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f08abaa1-269d-4f1b-bccb-5e43ce41be30 · outbound

This paper cites Self-supervised dataset distillation: A good compression is all you need, 2024.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Self-supervised dataset distillation: A good compression is all you need, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:40.661620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df3eefa0-2295-4935-8a74-f01565fde245 · outbound

This paper cites 5 shows the pipeline of how we utilize the MAR [19] backbone for our framework.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation 5 shows the pipeline of how we utilize the MAR [19] backbone for our framework

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:40.498166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28318e60-8d57-4efb-9783-1c865936376f · outbound

This paper cites Quantitative Comparison with DD Methods IPC 10 50 G-VBSM 31.4±0.5 51.8±0.4 EDC 48.6±0.3 58.0±0.2 DiT-IGD 45.5±0.5 59.8±0.3 Ours 46.1±0.2 60.0±0.0 Table 6.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Quantitative Comparison with DD Methods IPC 10 50 G-VBSM 31.4±0.5 51.8±0.4 EDC 48.6±0.3 58.0±0.2 DiT-IGD 45.5±0.5 59.8±0.3 Ours 46.1±0.2 60.0±0.0 Table 6

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:40.222388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15a7a6c8-ef37-49ea-86e1-ccf1b154c6f2 · outbound

This paper cites Though we ablated on the various hyperparameters, only a few need to be tuned.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Though we ablated on the various hyperparameters, only a few need to be tuned

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:39.883744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc4a0ef2-e1de-4d34-8303-2855f2363521 · outbound

This paper cites an unresolved cited work.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:06:39.569165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 655c818d-e1ae-409f-b88d-4d7cb756d1ac · outbound

This paper cites 13, using distilled images from Minimax Diffusion as an example.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation 13, using distilled images from Minimax Diffusion as an example

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:39.213475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd37daf3-6f24-4e6d-aa9f-dd9c7e5916d0 · outbound

This paper cites Distilled images of ImageWoof and ImageNette.

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation Distilled images of ImageWoof and ImageNette

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:38.928787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bc058d5-d225-48df-b460-31b459517058 · outbound

This paper cites DiTs can only deal with ImageNet classes).

CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation DiTs can only deal with ImageNet classes)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:06:38.614208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation a2d0a7fd-589f-4397-8f6e-b05d69ad9c13 · inbound

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift cites this paper.

Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-03T15:50:35.323382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc149df-00ca-46f1-9d0c-1cba368853a4 · inbound

Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation cites this paper.

Pool-Select-Refine for Allocation-Aware Generative Dataset Distillation CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.271660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b85f01f-d03a-453b-8939-5fd0ff8c918f · 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 CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:36.982264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.