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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

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  • unresolved13
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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:34.825081Z digest=sha256:cc5a0077d8116b48ee1115d8603dc7454d5f882239f74648c7530b207485b455

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:34.915285Z digest=sha256:6392937376763b9b3133f3c95684ed59913687e99f464c160ee77f5838da165b

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:34.997156Z digest=sha256:a2943996b13d7873cb061e2fb176c76a89da020db3571874b3d5bf901a87204d

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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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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source=pdf_text observed=2026-08-06T22:06:35.291074Z digest=sha256:9b79e374462780a7d0c5698d2b51d167a0bddf1fa54e21cc0b957fa25abd64cc

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:35.465985Z digest=sha256:bba8d5ab581b35b4a9cfeaeca3ee747345af503331d8eb7af083f4d47d49ea1e

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:35.975355Z digest=sha256:0baaf3c1d64c9d6a3658c7e9d74a67f44500ecdfeadf0d0a9721bbf9b9133426

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T22:06:36.191633Z digest=sha256:46fc008b192d8bb92fcc92696f355214d40a215a5596af2311a1804450721338

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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no resolver link, observed 2026-08-06T22:06:36.286632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:06:36.286632Z digest=sha256:63ee7bb4da00a64f12e311bc6437ce1cae5c5e22898c6fbd5217f18fa8c664f8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:36.619708Z digest=sha256:a833117ca59770dd991507dc7bdc8378a163f0cdd0edd38e6620c24054778cf9

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:36.727615Z digest=sha256:7714205795d7512417f48dd14e045fcbcbb73dd7c78b28c72adf4f2a561c98d3

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:36.844396Z digest=sha256:4be8104657c9f41d123a0bdcad1072652c53ef2b7072ffb7b71522a13c377cf6

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

This paper cites an unresolved cited work.

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

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:06:42.948832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:36.942529Z digest=sha256:a5f9493a69c5e44ab5b1b7a22103559e386d0c7e783dc2eb9ce0b03a6e9ffbc9

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:06:37.025145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:06:37.025145Z digest=sha256:c9ed8c47dc5191a60fd48b3ce6d5ef1599ff9b7fc653af080828c151e45a3ef5

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.085254Z digest=sha256:2fe3dbfdf08c69ce023625421ebef4c3248a3fd1cef8effb26e7c97aa21aa7ce

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

This paper cites an unresolved cited work.

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

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:06:37.146770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:06:37.146770Z digest=sha256:c232ff6486dc564234f31282dd402429d30424db004f39335f5e64d08677eee1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.232865Z digest=sha256:66400f50ae78a9318dc29116812f21662b41c7cbd5d9671f55d33c48d8a8de23

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:06:37.310714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:06:37.310714Z digest=sha256:41b2cff38a16e6d27000b9564844c6c66c3eee5e28e4f1689538e45d8a1d0f2c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.359787Z digest=sha256:08213e631c1da9ef4a2ebc50cb0e767a1b73f33bbfe77829b13fd7dfa8a56221

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.417430Z digest=sha256:94f872b5e28e6da6c1ef87b65e768e7da97290ac64ea42f9f0011ae3792a49a6

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.485992Z digest=sha256:dcc1cb614a99ad54d95d043522f832d39929513f968b17da976b1085e1410335

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.564834Z digest=sha256:8b7643b083a6508bad6a1e9478b716e63e558b039dde70d7de05a9f986e3c3c4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.644691Z digest=sha256:553b2617c3e66544b3a726b576f316ebe43547a435c9d3a38b949e4b32ca0e36

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

Resolution
unresolved
no resolver link, observed 2026-08-06T22:06:37.731185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:06:37.731185Z digest=sha256:599e3812c2abb1235a8403f8e31d7c3729128df5a7b3d9cc55b86c9f4897625d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.797623Z digest=sha256:e9a179079828d96e40036bb8a1b888e7969881049ea9127d8fed3649ebce0d70

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.858216Z digest=sha256:77f51bfeb5e549d7792a9512c4b1704ebf6b77f3c965c31581eec1cbccf46afc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.916742Z digest=sha256:5d0cc1918591252fa23cb655678f0b2a04aabf5bea6bd53020a1df41bbbbd6eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:37.976581Z digest=sha256:d83614c1cff57929f79b52e1c94096a4a58e3b9de4900c71be9d19a2228e3077

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:38.040133Z digest=sha256:4e19eae1cfaa00621b5c9406072b4c50de285317dfd7aab1999390a6d58d6dcd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:38.101949Z digest=sha256:2964e663c98dcaf2ac685ea6ac80dbd9e1d794414b0b38aa4657386800eaa92b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:38.214809Z digest=sha256:36e2bf1de06d23732471ae8e9a2823eecaf8c6632d287618a3ba595380fd64a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:38.297444Z digest=sha256:2591040f21815bbd1a8aeed29e9dd9ea50b244607859f24d04cda0f7506bbe35

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:06:38.353579Z digest=sha256:c77cec2864b9c65245c5028a572df5c9b413aa14d452ab89860c07a01efd9725

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.

source=pdf_text observed=2026-08-03T15:50:35.323382Z digest=sha256:48b8eabeade4532a827720d84852b66b85ac4c3c03e89481a8d29291f69e6171

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:36:02.976349Z digest=sha256:de00ebf50401a011c4c8b6ad8f9b5098e46ff3a0fcc7296df21401f8c44e70bc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T14:22:33.482498Z digest=sha256:0916a6f65a967ef4ebbe0bb455ba14fe4d6ab6e6c24c9929d227aa088fc8eee9