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Paper Citation Record · LEDGER

Multimodal Distribution Matching for Vision-Language Dataset Distillation

As of 13 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 0 inbound Pith citation observations for arXiv:2605.23482.

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

pith.paper-citation-record.v1
2605.23482 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T04:30:04.849603Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

87 of 87 outbound references displayed

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  • verified fuzzy60
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb1b1edf-771d-4e10-9d64-8b882b47eaea · outbound

This paper cites GPT-4 Technical Report.

Multimodal Distribution Matching for Vision-Language Dataset Distillation GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

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Observation 24855f7c-0f2d-4621-bb44-c13c2c129d84 · outbound

This paper cites Contextual diversity for active learning.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Contextual diversity for active learning

Reference 2

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Source-reported events for the cited work

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Observation fdec9356-13e7-4a3a-9b1b-d447c68fdc80 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736

Reference 3

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Observation 6f09058d-3141-403b-b3bc-6ae49b86627b · outbound

This paper cites Qwen Technical Report.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Qwen Technical Report

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e83b96d1-eadb-45a9-9695-910289142e52 · outbound

This paper cites Dataset distillation as data compression: A rate-utility perspective.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation as data compression: A rate-utility perspective

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3827a8bd-7bb6-4d2e-b4fe-86bd0c27673d · outbound

This paper cites High-performance large-scale image recognition without normalization.

Multimodal Distribution Matching for Vision-Language Dataset Distillation High-performance large-scale image recognition without normalization

Reference 6

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Source-reported events for the cited work

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Observation 28e7b280-f346-42a2-bc39-558c5872ea34 · outbound

This paper cites Coyo-700m: Image-text pair dataset.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Coyo-700m: Image-text pair dataset

Reference 7

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Source-reported events for the cited work

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Observation a756559d-032d-4e95-bc5b-e611ef00e466 · outbound

This paper cites Dataset distillation by matching training trajectories.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation by matching training trajectories

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 170551af-4719-4ac1-8f16-805828428e36 · outbound

This paper cites Generalizing dataset distillation via deep generative prior.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Generalizing dataset distillation via deep generative prior

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9073564d-fcae-437a-a2a4-0b587573a13c · outbound

This paper cites Selection via Proxy: Efficient Data Selection for Deep Learning.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Selection via Proxy: Efficient Data Selection for Deep Learning

Reference 10

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Observation 5d5151f7-c8d9-49d3-a9ae-26f6ea97b360 · outbound

This paper cites Dc- bench: Dataset condensation benchmark.Advances in Neural Information Processing Systems, 35:810–822.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dc- bench: Dataset condensation benchmark.Advances in Neural Information Processing Systems, 35:810–822

Reference 11

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Observation 61819af8-b812-4183-86f9-e80cc0d92af3 · outbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation Scaling up dataset distillation to imagenet-1k with constant memory

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 15b4ce2c-e1fc-4f17-84ea-3b9cfb9e781d · outbound

This paper cites Optical: Leveraging optimal transport for con- tribution allocation in dataset distillation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Optical: Leveraging optimal transport for con- tribution allocation in dataset distillation

Reference 13

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Source-reported events for the cited work

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Observation b164a5b1-1ea2-411d-925b-0df9d27e957b · outbound

This paper cites Ex- ploiting inter-sample and inter-feature relations in dataset distillation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Ex- ploiting inter-sample and inter-feature relations in dataset distillation

Reference 14

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Observation e9ccbba6-591c-47cb-b69b-039dba0f19d3 · outbound

This paper cites Remember the past: Dis- tilling datasets into addressable memories for neural networks.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Remember the past: Dis- tilling datasets into addressable memories for neural networks

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ebb26c08-d39a-4037-9d04-f0619b93f7f8 · outbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6f256287-1151-4322-93e2-63a89f6ff4ee · outbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation Minimizing the accumulated trajectory error to improve dataset distillation

Reference 17

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9f46be29-507b-425f-8def-73e04600d29e · outbound

This paper cites Adversarial Active Learning for Deep Networks: a Margin Based Approach.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Adversarial Active Learning for Deep Networks: a Margin Based Approach

Reference 18

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Observation b2f060f8-4bbb-4c27-918f-cd2a17dc02a5 · outbound

This paper cites Springer Science & Business Media.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Springer Science & Business Media

Reference 19

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6fe1e8f3-e306-4afd-8ebb-8cd4efcd3c7e · outbound

This paper cites Deepcore: A comprehensive library for coreset selection in deep learning.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Deepcore: A comprehensive library for coreset selection in deep learning

Reference 20

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Observation 9ae3d7be-dbc6-4f31-93fb-f205e838a456 · outbound

This paper cites Algorithm as 136: A k-means clustering algorithm.Journal of the royal statistical society.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Algorithm as 136: A k-means clustering algorithm.Journal of the royal statistical society

Reference 21

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Observation a860435e-ad0f-4add-ae6c-6c96c2453322 · outbound

This paper cites You Only Condense Once: Two Rules for Pruning Condensed Datasets.

Multimodal Distribution Matching for Vision-Language Dataset Distillation You Only Condense Once: Two Rules for Pruning Condensed Datasets

Reference 22

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arxiv_id, observed 2026-05-25T04:30:19.744140Z

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Observation 113f4165-8e98-41f1-a6f0-c3112d63d677 · outbound

This paper cites Fram- ing image description as a ranking task: Data, models and evaluation metrics.Journal of Artificial Intelligence Research, 47:853–899.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Fram- ing image description as a ranking task: Data, models and evaluation metrics.Journal of Artificial Intelligence Research, 47:853–899

Reference 23

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Observation 7cce0f53-c09e-4bfa-b978-6c2c4357635f · outbound

This paper cites Submodular combinatorial information measures with applications in machine learning.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Submodular combinatorial information measures with applications in machine learning

Reference 24

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Observation 3fe974ca-302f-43ba-af81-a7018e430e05 · outbound

This paper cites Model stock: All we need is just a few fine-tuned models.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Model stock: All we need is just a few fine-tuned models

Reference 25

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3a1b678a-488d-4f85-a2b4-d55c63f4f47a · outbound

This paper cites Grad-match: Gra- dient matching based data subset selection for efficient deep model training.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Grad-match: Gra- dient matching based data subset selection for efficient deep model training

Reference 26

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 511a206a-1e52-41d8-87f5-c0954cfad579 · outbound

This paper cites Glister: Generalization based data subset selection for efficient and robust learning.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Glister: Generalization based data subset selection for efficient and robust learning

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation da8fd825-c2bf-463a-9a85-a2c1a73ae696 · outbound

This paper cites On Divergence Measures for Bayesian Pseudocoresets.

Multimodal Distribution Matching for Vision-Language Dataset Distillation On Divergence Measures for Bayesian Pseudocoresets

Reference 28

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 794c5a05-5f82-46f4-99f8-57156dc7972d · outbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset condensation via efficient synthetic-data pa- rameterization

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:d9cce4a8a75343c8ddbde7f85cca7addc835b057bb1b9282350e490c731f17fb

Observation e15c2f99-98eb-4214-a254-4ba731112f00 · outbound

This paper cites Computing geodesic paths on manifolds.Proceedings of the national academy of Sciences, 95(15):8431–8435.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Computing geodesic paths on manifolds.Proceedings of the national academy of Sciences, 95(15):8431–8435

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d0647da1-9871-4a70-8315-e4ad609f24ba · outbound

This paper cites Dataset Condensation with Latent Space Knowledge Factorization and Sharing.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Condensation with Latent Space Knowledge Factorization and Sharing

Reference 31

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arxiv_id, observed 2026-05-25T04:30:19.668110Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d1990a5a-451a-478f-ba5c-cfa7345d7a4f · outbound

This paper cites A comprehensive survey of dataset distillation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1):17–32.

Multimodal Distribution Matching for Vision-Language Dataset Distillation A comprehensive survey of dataset distillation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(1):17–32

Reference 32

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raw_fallback, observed 2026-05-25T04:30:21.018852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:abe0d35733e0c179c9abbcb92cc93b408dac64504542a649474df54aaa173f22

Observation c01b737a-22b6-43e1-8e32-f379753c6032 · outbound

This paper cites Diversity-enhanced distribution alignment for dataset distillation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Diversity-enhanced distribution alignment for dataset distillation

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:44756991ffb94b93472fd17ec33e516e8e25c45afb6512aca566c5b0744d3703

Observation b41c62f6-8844-45ac-87fb-f8517954d392 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation

Reference 34

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raw_fallback, observed 2026-05-25T04:30:21.004652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:60785b2a2954955c8b6bae2f06fcbd51d6a47140e53a8e084a17cd995ad51252

Observation 60d75159-771e-4f7c-abcb-8a1d667a8378 · outbound

This paper cites Microsoft coco: Common objects in context.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Microsoft coco: Common objects in context

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:21.001074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:7ec119bed4af30f64e0d756b34a1d55a2a4f35e1123e605acd75f5cfe006dbe0

Observation 23f8dab7-99d3-4452-a393-0c87b8e9b059 · outbound

This paper cites Dataset distillation by automatic training trajectories.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation by automatic training trajectories

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:21.008149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:ebe63a90cc174b925d54a35346a73b6f63e8955cdc54e3cd07094417d76102ba

Observation b577a09f-53c6-45ab-befc-8ca49eb94157 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.997983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:e9a6230314401a5eb184129c19e626181e23b8b2b1851b600b037b2f3abe3fcf

Observation c2cdef6e-ddbf-4479-a2e2-9393c9bb1369 · outbound

This paper cites Dataset distillation via the wasserstein metric.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation via the wasserstein metric

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:21.011654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:330eadaf551dd610c575627b53755a796f029866622a3320b315a3689bfb7089

Observation 556ca236-42b8-48aa-ba02-072fcf48a893 · outbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.693768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:25ea818b47edfc53b5cbf2e446ff6a3baf87593b5e1d5c183976a32eda4ee39d

Observation 4100d2f0-b066-4645-a8c4-88b627793e13 · outbound

This paper cites Dataset distillation via factorization.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation via factorization

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.991101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:facf27ceccfb1b9a995a2003b69d7617bf13e96258d6baf7b5b86a27cf63783c

Observation 4c383005-6579-436e-bc87-438aa58a6d67 · outbound

This paper cites Slimmable dataset condensation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Slimmable dataset condensation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:21.028963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:e6271eb103ae1cda399f9af9ee995f7f055e7124e01e2b5af752773efe45c456

Observation ff1764bd-9631-42b4-ba56-729f38c0b9fe · outbound

This paper cites DREAM: Efficient Dataset Distillation by Representative Matching.

Multimodal Distribution Matching for Vision-Language Dataset Distillation DREAM: Efficient Dataset Distillation by Representative Matching

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.774543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:244a13af6356ff655b6097843510d6b705722adb6862385ac07a0af78079e340

Observation 6a9d4483-b1e2-4a3c-bef9-7803f71a5167 · outbound

This paper cites Efficient dataset distillation using random feature approxima- tion.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Efficient dataset distillation using random feature approxima- tion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.974008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:ed4080a208428d1cf250276180228c6af4448a69f304526df180d077e98f0d74

Observation 8f4690eb-c4f3-47c5-9ad8-782e37556e1c · outbound

This paper cites Dataset Distillation with Convexified Implicit Gradients.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Distillation with Convexified Implicit Gradients

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.799890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:8495bbff4797d2749815f164dd0ba47a521f6394603cc12db35c47f234107bac

Observation 62df5cb0-a5b1-4d65-916a-2a6e8d357cc2 · outbound

This paper cites Bayesian pseudocoresets.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Bayesian pseudocoresets

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.977144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:d0078a9ce2ee97fb23c6f0206094664a55f216d8fcced9be8bdeaf7b15bbe2dc

Observation 445fd892-b6f9-4804-ac80-abacc6a3a102 · outbound

This paper cites Active Learning by Acquiring Contrastive Examples.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Active Learning by Acquiring Contrastive Examples

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.753829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:f034c64c5cf2988b02d6dc1230c7c36e5929a3ae8b463371193cbb8ad53a4c2e

Observation 5c856a9c-7383-43a8-8e2e-5946b7c8c1d0 · outbound

This paper cites Geomm: On geodesic perspective for multi-modal learning.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Geomm: On geodesic perspective for multi-modal learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.971083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:daafa2a0c3bb12ef2db3a08592d813218482f02f300873a8fcb5d220441915fa

Observation c828aefe-2832-4512-8378-5aa9bcd5717a · outbound

This paper cites Coresets for data-efficient training of machine learning mod- els.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Coresets for data-efficient training of machine learning mod- els

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.922222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:6467be4bdd10475eb1bf2ca65637cf79022b8f4379e01ce56fb356fa6f31da1b

Observation 94bdaa0f-5526-4db8-ab85-1f14e433eb38 · outbound

This paper cites Dataset Meta-Learning from Kernel Ridge-Regression.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Meta-Learning from Kernel Ridge-Regression

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.672507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:3f5f121af4e688f679275d3b2b467e6ea8efd5b9dc85423e9428950a5649eef5

Observation 7eae90dd-4736-44a5-b921-602de78d0dfc · outbound

This paper cites Dataset distillation with infinitely wide convolutional networks.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation with infinitely wide convolutional networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.967501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:ed7d5e443cc82c3e06272a4d23ed79aedf674da8e72bf40a4753dc3ba28dffe8

Observation 95d5cf52-def2-4a7e-9fae-158cc9926c4b · outbound

This paper cites Deep learning on a data diet: Finding important examples early in training.Advances in neural information processing systems, 34:20596–20607.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Deep learning on a data diet: Finding important examples early in training.Advances in neural information processing systems, 34:20596–20607

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.980860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:1ba4cb4cba3cc629168414d819e6955961a75aca4dd55e10a9505db958e6008c

Observation 6270df56-18ab-4468-a5a5-debfbd0ea6c7 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Learning transferable visual models from natural language supervi- sion

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.987999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:98e19e13d0615ee9b77eef75f77ee3ecb1276ba05ef6d3b7f10ebe893b019444

Observation 890e57b0-2745-42ae-bf6d-d4546744c1db · outbound

This paper cites Datadam: Efficient dataset distillation with attention matching.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Datadam: Efficient dataset distillation with attention matching

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.902793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:fb512b0497c7e3b6917a4434afaf44ddecba435042a76e9eea8b79cc1dcac823

Observation 938621c1-2098-4aa8-bdd1-455c0b8684db · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Multimodal Distribution Matching for Vision-Language Dataset Distillation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:30:19.769021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:4e9a1e21954c18b5bc8309df1f953666c58054ea26e608a022d657e97cc739af

Observation 13953d0a-d2ae-482e-b866-d99c85c4a699 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next gen- eration image-text models.Advances in Neural Information Processing Systems, 35:25278–25294.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Laion-5b: An open large-scale dataset for training next gen- eration image-text models.Advances in Neural Information Processing Systems, 35:25278–25294

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.918214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:eb776ede8e5a8c1e4e3538b443289c35aa7c168b484acc1899f2ab375742aead

Observation 31905bed-f3a4-4f3d-a85b-e32ddba19397 · outbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:30:19.790856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:5277dd00a9f9258ac7339ff9310c57526ffca2cf9b1b9d4be4dc981aeb1f1fc5

Observation e27b41b4-f516-4e5c-879e-5ec9ae6b2a81 · outbound

This paper cites Fre- quency domain-based dataset distillation.Advances in Neural Information Processing Systems, 36:70033–70044.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Fre- quency domain-based dataset distillation.Advances in Neural Information Processing Systems, 36:70033–70044

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.912296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:0b2a929eba16077e74e34f5ec4bbd70f07c7f9e7a144bd47d79774125fd78f61

Observation 8bd91ff3-9ada-4a3e-a95e-bda408f165c3 · outbound

This paper cites Fyi: Flip your images for dataset distillation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Fyi: Flip your images for dataset distillation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:21.050913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:e0747cfa2f62e45e6497e5a709914ebf105e1ad9199f60ca8e09843bbc62be70

Observation 2e7c9b44-9053-4b2e-a44d-3cff8d70a80b · outbound

This paper cites D^4m: Dataset distillation via disentangled diffusion model.

Multimodal Distribution Matching for Vision-Language Dataset Distillation D^4m: Dataset distillation via disentangled diffusion model

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.833458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:688926e13f83a4656a5d4f498cd292d3681e9124e6ebf294dfa0f01652a65053

Observation b54fe154-1e67-4e55-8ec5-adf6b5fddca2 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:30:19.739405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:fdefe2c416d767ac12f3d270acd3dd7334ca42b12b27247f6a91fc5553d12e58

Observation 5397fbdb-8700-4d3d-8a6e-b347e6d9dcd4 · outbound

This paper cites Yfcc100m: The new data in multimedia research.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Yfcc100m: The new data in multimedia research

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.824915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:7e6ee975c63bb29862468caea8e37fa928044700c64e05a048127a626de83f2c

Observation 89accf18-2cb4-45ed-88e0-a9aee3249d67 · outbound

This paper cites Bayesian Pseudo-Coresets via Contrastive Divergence.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Bayesian Pseudo-Coresets via Contrastive Divergence

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.785787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:7705e38676c4cd66b203dbdaa2502273ace947f0faf48c822dd9f9a563ec98f0

Observation eefbc150-7e87-44eb-902a-56a245a9e444 · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Multimodal Distribution Matching for Vision-Language Dataset Distillation An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.712917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:e3bcf4e9c70db4336f4abf8918906625c62407a4c11f0360db5ff0e82c8953b5

Observation 4f41be25-51a7-4fcf-b99f-0a45a7b5da0b · outbound

This paper cites Cao2: Rectifying inconsistencies in diffusion-based dataset distillation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Cao2: Rectifying inconsistencies in diffusion-based dataset distillation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.899139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:9ab919743818b8ca86de8b7957b06a6376fd373038c693770d5ebaa984489cc4

Observation 5f9e55bc-0445-4e45-9857-0120f06f5e52 · outbound

This paper cites Cafe: Learning to condense dataset by aligning features.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Cafe: Learning to condense dataset by aligning features

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.806195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:0be94f134cf8891025f11f2d0eb5229241d9559c0ce075028a67af1aae32a9f4

Observation b29b9174-524e-43dd-bc17-c32bb6546301 · outbound

This paper cites Dataset Distillation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Distillation

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:30:19.758454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:1c632641fbfd37619b0df56b2da4d43e4bb5070b8e3014023e3d78d245721351

Observation 71390526-98b4-49e9-95eb-335733897256 · outbound

This paper cites Herding dynamical weights to learn.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Herding dynamical weights to learn

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.820612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:3fb5694873041de47b22aa42fe241be8b378c18099860d864e8347367c571cb7

Observation f0267136-f512-430b-8349-6c06467758ec · outbound

This paper cites Vision-language dataset distillation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Vision-language dataset distillation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.801115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:558c4f95fc9381106d474f9137d51d352ab140307fd1ff972ea35a56d2825df5

Observation bd599628-1482-477d-b881-11027010f43f · outbound

This paper cites Low-rank similarity mining for multimodal dataset distilla- tion.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Low-rank similarity mining for multimodal dataset distilla- tion

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.888993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:ff0a771d80f56d5c0e4b73fda1146d0fca87e3b05667ffe7530858aec9c68485

Observation 043e2b91-4b53-4652-a3e7-299c63e7e06d · outbound

This paper cites Dataset distillation via cur- riculum data synthesis in large data era.Transactions on Machine Learning Research.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distillation via cur- riculum data synthesis in large data era.Transactions on Machine Learning Research

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.878109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:7e077b192fd663c6a58eec9391d0cb4a7b1196118269199d1642a9de717d88b1

Observation d604cecb-090f-44e0-97e1-da48e3d5455f · outbound

This paper cites Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.718376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:07a545c3b2a4b101a798b59bfeaa1867f1312530eed85e69ede9635fccd17da8

Observation 111f11fc-a5de-4f69-844b-dbccc76f4939 · outbound

This paper cites an unresolved cited work.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-05-25T04:30:20.797278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:84d9d1268dfc0c42b2b72cb99eb0ffec198ea3ff134d89a0f274f3335607413c

Observation 6ef57874-b563-4d46-b0f9-d548c8227da2 · outbound

This paper cites Dataset distilla- tion: A comprehensive review.IEEE transactions on pattern analysis and machine intelligence, 46(1):150–170.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset distilla- tion: A comprehensive review.IEEE transactions on pattern analysis and machine intelligence, 46(1):150–170

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.793995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:2a7a0d4bf8cdc4d85ea96d5e6b96cead1e1dcccec93254d279d9da50cf1ddee1

Observation a49359f0-811b-4fa8-810f-d61b30642f62 · outbound

This paper cites Sigmoid loss for language image pre-training.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Sigmoid loss for language image pre-training

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.815727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:0c5453392e9b7718a6c18d08c657b1bff543d446b039867e1b8706bd7a83ab77

Observation 185e0e0e-cfa5-451a-9695-0d063f560890 · outbound

This paper cites DANCE: Dual-View Distribution Alignment for Dataset Condensation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation DANCE: Dual-View Distribution Alignment for Dataset Condensation

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.687628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:012f9597743d87f87f9dc4f5eda4e1937849c87cc526e28260784e34c3a696e1

Observation bfb7262f-4a5a-4920-a88c-2df36595d1a9 · outbound

This paper cites M3d: Dataset condensation by minimizing maximum mean discrepancy.

Multimodal Distribution Matching for Vision-Language Dataset Distillation M3d: Dataset condensation by minimizing maximum mean discrepancy

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.873527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:a844ef4f78dd2ab3904d089b2bc8bba22f1c6f260f95090884955559c48421b2

Observation b2cb886f-ebba-439a-8f86-c79b12daaa14 · outbound

This paper cites Accelerating dataset distillation via model augmentation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Accelerating dataset distillation via model augmentation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.863254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:c791385ba6460dd036957daa780b943ccd5e0ba7074b69435032b96b8bf39026

Observation cd8b3ce3-6757-4877-8de9-9120269d17b7 · outbound

This paper cites Dataset condensation with differ- entiable siamese augmentation.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset condensation with differ- entiable siamese augmentation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.858815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:f1f726ee97b890f1fe7205bb02b8ecf01cf3dd79f80d2a57f26ee45100efedf1

Observation a810b6d0-3cea-4b50-a9a4-dc7314514ddc · outbound

This paper cites Synthesizing Informative Training Samples with GAN.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Synthesizing Informative Training Samples with GAN

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.677214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:cf8c46b16484b832f3291b04ef417e01f8f0e2ad581192e43d3f3349ba93580d

Observation a26b42b3-e791-4728-ae28-c8aa15b3876b · outbound

This paper cites Dataset condensation with distri- bution matching.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset condensation with distri- bution matching

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.782394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:80c8110a781947ae45bc015937e92872da3175eb5304919e6f85ed4ce009963c

Observation 91f82cc9-7483-43fc-946a-bd188f0643c0 · outbound

This paper cites Dataset Condensation with Gradient Matching.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Condensation with Gradient Matching

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.780306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:f9559d122eccd4ce53fd75a24940f9baf3da3a33c5ae71eb136bfa7d90bfd132

Observation 47748afe-db22-41ef-9273-c164b69c7fa2 · outbound

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

Multimodal Distribution Matching for Vision-Language Dataset Distillation Im- proved distribution matching for dataset condensation

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.787603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:b2f644cdd75eeca96e007ffd78fe36d2bd18a43535fa9f445d8a5cdcc49b3959

Observation f44b3032-351e-4fd8-bdf6-a983962b9867 · outbound

This paper cites Efficient multimodal dataset distillation via generative models.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Efficient multimodal dataset distillation via generative models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.658123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:df7183acd0d1c9f60ea820a8f7c4ae1d51b59ed0185bb3cdf48796e89bc4f313

Observation 73532abd-050b-4d85-94f4-9e771de7efda · outbound

This paper cites Towards stable and storage- efficient dataset distillation: Matching convexified trajectory.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Towards stable and storage- efficient dataset distillation: Matching convexified trajectory

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.882646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:d6c0fe6325862421f3863efa25328035e7f6422deea0eb556a7c18e0b989dbd5

Observation 69dfc22c-e0f3-4067-bca7-55db51678670 · outbound

This paper cites Dataset Distillation using Neural Feature Regression.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Dataset Distillation using Neural Feature Regression

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:30:19.763435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:576c1b2c8d3669e37c7f044bd85c95cb9896326991d8f7fa4b4051e9204e85a0

Observation 299df765-0679-44a8-a7cd-b805a44f2bdf · outbound

This paper cites modality gap.

Multimodal Distribution Matching for Vision-Language Dataset Distillation modality gap

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:30:20.778067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:3decdb0bd3a2c65b6fbc97bafb209d6d8830bfb4f6b071a481d2abfa652bf914

Observation f7823319-a57b-4eec-b86a-b274a96de661 · outbound

This paper cites an unresolved cited work.

Multimodal Distribution Matching for Vision-Language Dataset Distillation Unresolved cited work

Reference 87

Resolution
malformed identifier
raw_fallback, observed 2026-05-25T04:30:21.025755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T04:30:04.849603Z digest=sha256:0d4f8d7530758db455767dcdc586ed380fb3705219d8153970e591cb17d636a4

Pith citing papers

No inbound Pith citation observations are available.