Paper Citation Record · LEDGER

A Large-Scale Study on Video Action Dataset Condensation

As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2412.21197.

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

pith.paper-citation-record.v1
2412.21197 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:03:28.276364Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:50.837398Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:52:47.771777Z

Reference resolution

55 of 55 outbound references displayed

verified exact0
verified fuzzy40
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 156384c6-787d-407f-a784-a540a79d46a2 · outbound

This paper cites Is space-time attention all you need for video understanding? In ICML, page 4, 2021.

A Large-Scale Study on Video Action Dataset Condensation Is space-time attention all you need for video understanding? In ICML, page 4, 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:26.882915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75baa2c6-9962-4b56-8d9a-c4ffcdcf0550 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.

A Large-Scale Study on Video Action Dataset Condensation Quo vadis, action recognition? a new model and the kinetics dataset

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:30.210439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2485e2a0-1619-4fe9-9c57-87142594a254 · outbound

This paper cites Dataset distillation by matching training trajectories.

A Large-Scale Study on Video Action Dataset Condensation Dataset distillation by matching training trajectories

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:30.198345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6692d52c-fc4f-4484-9772-1646ed21e6cc · outbound

This paper cites Efros, and Jun-Yan Zhu.

A Large-Scale Study on Video Action Dataset Condensation Efros, and Jun-Yan Zhu

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:30.186609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 440435e4-fd0e-4625-895e-e372bffe5ac1 · outbound

This paper cites Super-samples from kernel herding.

A Large-Scale Study on Video Action Dataset Condensation Super-samples from kernel herding

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:30.120326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb4d861b-75ab-48b4-a60f-42436362a8b1 · outbound

This paper cites DC- BENCH: Dataset condensation benchmark.

A Large-Scale Study on Video Action Dataset Condensation DC- BENCH: Dataset condensation benchmark

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.951763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3590be8d-00a3-41ac-ae47-a6be90dd180b · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Scaling up dataset distillation to imagenet-1k with constant memory

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.939202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c966496-2575-4990-a23a-54916734fad2 · outbound

This paper cites Remember the past: Distilling datasets into addressable memories for neural net- works.

A Large-Scale Study on Video Action Dataset Condensation Remember the past: Distilling datasets into addressable memories for neural net- works

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.926894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc476cc0-d7c3-4bc7-a4ce-e53b77ac5c7b · outbound

This paper cites CondTSF: One-line plugin of dataset condensation for time series forecasting.

A Large-Scale Study on Video Action Dataset Condensation CondTSF: One-line plugin of dataset condensation for time series forecasting

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.914854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5ed5b29-428d-454b-b7f3-0a8b5e7bd06f · outbound

This paper cites Slowfast networks for video recognition.

A Large-Scale Study on Video Action Dataset Condensation Slowfast networks for video recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.901798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7820c761-2ece-4d46-b510-98f6184bc892 · outbound

This paper cites The ”something something” video database for learning and evaluating visual common sense,.

A Large-Scale Study on Video Action Dataset Condensation The ”something something” video database for learning and evaluating visual common sense,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.106678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8efdf45-a1af-4e23-9182-b521bae1b43e · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Deepcore: A comprehensive library for coreset selection in deep learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.881858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5811e880-c50a-43ea-8074-12651c03b883 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Towards lossless dataset distillation via difficulty-aligned trajectory matching

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.869604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bc2ae4fe-9b43-432d-a8e5-4fe154828d26 · outbound

This paper cites Characterizing structural regularities of labeled data in overparameterized models.

A Large-Scale Study on Video Action Dataset Condensation Characterizing structural regularities of labeled data in overparameterized models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.810569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd2bb1cb-d7e0-4437-b961-bdad2f91cf3a · outbound

This paper cites Graph condensation for graph neural networks.

A Large-Scale Study on Video Action Dataset Condensation Graph condensation for graph neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.732351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10851716-d959-48c2-9b55-83085f871dc4 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Grad-match: Gradient matching based data subset selection for efficient deep model training

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.721034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03175fc8-9325-46d0-928b-c5cd04415e3c · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Glister: Generalization based data subset selection for efficient and robust learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.709360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84083d48-8a6a-4eed-b5e4-d49375e877a4 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Dataset condensation via efficient synthetic- data parameterization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.696415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e884358-2542-4e44-94fe-1d320ba54968 · outbound

This paper cites Kuehne, H.

A Large-Scale Study on Video Action Dataset Condensation Kuehne, H

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.685173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e5ce9a5e-4787-457d-94bd-5d81ab839f30 · outbound

This paper cites Selmatch: Effectively scaling up dataset distillation via selection-based initializa- tion and partial updates by trajectory matching.

A Large-Scale Study on Video Action Dataset Condensation Selmatch: Effectively scaling up dataset distillation via selection-based initializa- tion and partial updates by trajectory matching

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.604580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f975893-5744-445a-a6af-f19d50d6e702 · outbound

This paper cites Dataset distillation via factorization.

A Large-Scale Study on Video Action Dataset Condensation Dataset distillation via factorization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.287431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d699d47-c0b4-4ee5-b4c1-4d30fd1ecc15 · outbound

This paper cites Dataset condensation for time series classification via dual domain matching.

A Large-Scale Study on Video Action Dataset Condensation Dataset condensation for time series classification via dual domain matching

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.208822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4d55658-e424-480e-9b2f-73d16a3c5012 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Efficient dataset distillation using random feature ap- proximation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.198026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5998fd64-01d7-4827-8ad8-ea09bb95d020 · outbound

This paper cites Dataset distillation fixes dataset reconstruction attacks.

A Large-Scale Study on Video Action Dataset Condensation Dataset distillation fixes dataset reconstruction attacks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.186731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad599a5b-a159-43d5-97b6-f85dd5cadc7c · outbound

This paper cites UniDetox: Universal detoxification of large lan- guage models via dataset distillation.

A Large-Scale Study on Video Action Dataset Condensation UniDetox: Universal detoxification of large lan- guage models via dataset distillation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.175247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06981638-2ffa-4eae-903a-203d11f783ec · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Coresets for data-efficient training of machine learning mod- els

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.162217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3eb84db-8e4c-46e5-baca-2330e3041bbb · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Dataset Meta-Learning from Kernel Ridge-Regression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.768142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e624aa1-b785-4477-9b5c-c085194de4b8 · outbound

This paper cites Dataset distillation with infinitely wide convolutional networks.

A Large-Scale Study on Video Action Dataset Condensation Dataset distillation with infinitely wide convolutional networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.149930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4bb3de4-7414-4f60-9983-62944f8e970f · outbound

This paper cites A la- bel is worth a thousand images in dataset distillation.

A Large-Scale Study on Video Action Dataset Condensation A la- bel is worth a thousand images in dataset distillation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:29.135951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 780395c9-8c90-48db-a375-aaaf21eac084 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Active learning for convolu- tional neural networks: A core-set approach

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.999450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2ca6e5f-43cf-4125-a090-bba3f73af2cc · outbound

This paper cites Elucidating the Design Space of Dataset Condensation.

A Large-Scale Study on Video Action Dataset Condensation Elucidating the Design Space of Dataset Condensation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.805103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ba7e36-3f07-44a3-ad7d-24360b8f44ae · outbound

This paper cites Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching.

A Large-Scale Study on Video Action Dataset Condensation Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.809717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72c98ff9-df6c-4d16-a98e-b16d5a4d17ac · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

A Large-Scale Study on Video Action Dataset Condensation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.813912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593ac9e1-5de5-411a-a3a1-c6d0bc6b26a3 · outbound

This paper cites Generative teaching networks: Accelerating neural architecture search by learning to gen- erate synthetic training data.

A Large-Scale Study on Video Action Dataset Condensation Generative teaching networks: Accelerating neural architecture search by learning to gen- erate synthetic training data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.875183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9af0f167-0d4a-41a2-8846-cedce7de1409 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation On the diversity and realism of distilled dataset: An efficient dataset distilla- tion paradigm

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.863148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6763de3-b053-4c76-b053-90efe5814518 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.921299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 393c2001-e220-4a59-84f3-457e37d11f81 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

A Large-Scale Study on Video Action Dataset Condensation Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.850945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8be6b617-2f67-4938-aa1a-73f9d7cddf9d · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

A Large-Scale Study on Video Action Dataset Condensation Learning spatiotemporal features with 3d convolutional networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.929551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa4ea68-90f7-4121-a424-9ae5a0f0a83b · outbound

This paper cites A closer look at spatiotemporal convolutions for action recognition.

A Large-Scale Study on Video Action Dataset Condensation A closer look at spatiotemporal convolutions for action recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.764427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 107478e8-9197-4175-bef2-d7222cf4fd18 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Cafe: Learning to condense dataset by aligning features

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.718171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cd8eaeed-7fd6-415f-a51e-d0c95719ff7c · outbound

This paper cites Emphasizing dis- criminative features for dataset distillation in complex sce- narios.

A Large-Scale Study on Video Action Dataset Condensation Emphasizing dis- criminative features for dataset distillation in complex sce- narios

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.703662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 174517b7-a4aa-492c-a0f2-0244faaf2bbb · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

A Large-Scale Study on Video Action Dataset Condensation ActionCLIP: A New Paradigm for Video Action Recognition

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.945826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1755dab9-fd87-47a4-9f96-16f4e6e62085 · outbound

This paper cites Dataset Distillation with Neural Characteristic Function: A Minmax Perspective.

A Large-Scale Study on Video Action Dataset Condensation Dataset Distillation with Neural Characteristic Function: A Minmax Perspective

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.950644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e84ffbb7-91c4-454e-8cbd-16df8cf9ffb4 · outbound

This paper cites Dataset Distillation.

A Large-Scale Study on Video Action Dataset Condensation Dataset Distillation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:27.983997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 121c37df-64b1-44b6-b17f-287fffef40f3 · outbound

This paper cites Dancing with still images: Video distillation via static-dynamic dis- entanglement, 2024.

A Large-Scale Study on Video Action Dataset Condensation Dancing with still images: Video distillation via static-dynamic dis- entanglement, 2024

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.690316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8291260f-c7c5-4123-90b9-9517250426f4 · outbound

This paper cites Vision-language dataset distillation.

A Large-Scale Study on Video Action Dataset Condensation Vision-language dataset distillation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.678322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 67bbe3fd-1cb1-4537-a3c3-d31fe1b246d3 · outbound

This paper cites Does graph distillation see like vision dataset counterpart? In Pro- ceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2023.

A Large-Scale Study on Video Action Dataset Condensation Does graph distillation see like vision dataset counterpart? In Pro- ceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2023

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.589343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5fa613f6-4b33-4d15-b4e8-d7297781db5b · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.498662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ace487c-fc75-46a5-a2a9-9743ba5e395d · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Cutmix: Regu- larization strategy to train strong classifiers with localizable features

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:28.252645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e526d786-0116-4487-b5a0-cf06d099ec9b · outbound

This paper cites Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching.

A Large-Scale Study on Video Action Dataset Condensation Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:28.256398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6240d6cf-374e-49a7-a25f-cb242c4568ed · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Dataset condensation with differ- entiable siamese augmentation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.476766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76ca00ff-e08b-4b90-b193-ab4c2b5bb61a · outbound

This paper cites Dataset condensation with distri- bution matching.

A Large-Scale Study on Video Action Dataset Condensation Dataset condensation with distri- bution matching

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.463400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2a06b1c-0d48-4e9a-a1b9-039fd0f15884 · outbound

This paper cites Dataset Condensation with Gradient Matching.

A Large-Scale Study on Video Action Dataset Condensation Dataset Condensation with Gradient Matching

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:28.268281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d000c1-ba03-4217-8e08-0b8cc6c37a03 · outbound

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

A Large-Scale Study on Video Action Dataset Condensation Towards stable and storage- efficient dataset distillation: Matching convexified trajectory

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:28.449127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c41cddb5-c248-4347-9578-27b715b345dc · outbound

This paper cites Dataset Distillation using Neural Feature Regression.

A Large-Scale Study on Video Action Dataset Condensation Dataset Distillation using Neural Feature Regression

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:28.276364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c6402ee9-ed01-4652-b38b-bc486685baae · inbound

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

The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions A Large-Scale Study on Video Action Dataset Condensation

Reference 174

Resolution: unresolved; no resolver link, observed 2026-08-08T18:29:50.837398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71ed087e-c271-4d10-a4c5-f6df19de76d1 · inbound

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets cites this paper.

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets A Large-Scale Study on Video Action Dataset Condensation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:52:47.846666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.