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Paper Citation Record · LEDGER

Video Set Distillation: Information Diversification and Temporal Densification

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2412.00111.

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

pith.paper-citation-record.v1
2412.00111 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:48:20.340672Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:53:15.048795Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:52:47.339731Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d18eaad-a4fc-4fa5-b406-fc9c5bd4dc25 · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification Quo vadis and action recognition? a new model and the kinetics dataset

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 987b3b03-94c6-477c-b7bd-b3e77d719c88 · outbound

This paper cites Dataset distillation by matching training trajectories.

Video Set Distillation: Information Diversification and Temporal Densification Dataset distillation by matching training trajectories

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 31bf1c9b-8361-4a75-990a-4e6541fbde27 · outbound

This paper cites Scal- ing up dataset distillation to imagenet-1k with constant mem- ory.

Video Set Distillation: Information Diversification and Temporal Densification Scal- ing up dataset distillation to imagenet-1k with constant mem- ory

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d5fe55a8-a5ae-4dd5-93e5-dfc03f5d23d6 · outbound

This paper cites an unresolved cited work.

Video Set Distillation: Information Diversification and Temporal Densification Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 23258639-2d2f-46bd-a64d-9d88515ee1ec · outbound

This paper cites Spatiotemporal residual networks for video action recogni- tion.

Video Set Distillation: Information Diversification and Temporal Densification Spatiotemporal residual networks for video action recogni- tion

Reference 5

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raw_fallback, observed 2026-08-12T10:48:20.677153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 56c3f631-b4df-4af8-9e86-813828e42cf7 · outbound

This paper cites Slowfast networks for video recognition.

Video Set Distillation: Information Diversification and Temporal Densification Slowfast networks for video recognition

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a02fa530-4d0f-41f7-b5e5-8523abc3b6bf · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification The ”something something” video database for learning and evaluating visual common sense

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 54af90f9-3b02-417f-af9b-b4981cc54345 · outbound

This paper cites Deep residual learning for image recognition.

Video Set Distillation: Information Diversification and Temporal Densification Deep residual learning for image recognition

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4d758320-a487-4d6f-917a-7f391ba11a61 · outbound

This paper cites Large-scale video classification with convolutional neural networks.

Video Set Distillation: Information Diversification and Temporal Densification Large-scale video classification with convolutional neural networks

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 39f3ee9c-4dcd-4fc1-8068-6810a190ff36 · outbound

This paper cites Kuehne, H.

Video Set Distillation: Information Diversification and Temporal Densification Kuehne, H

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b7371611-d7d3-4d65-bb62-2d1a94da21e3 · outbound

This paper cites Data Distillation for Text Classification.

Video Set Distillation: Information Diversification and Temporal Densification Data Distillation for Text Classification

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 927726c6-f246-460b-8cf8-3e86d5679d1f · outbound

This paper cites Herding dynamical weights to learn.

Video Set Distillation: Information Diversification and Temporal Densification Herding dynamical weights to learn

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 879e59ea-2f0b-44db-b493-347645d5625d · outbound

This paper cites Active learning for con volutional neural networks: A core-set approach.

Video Set Distillation: Information Diversification and Temporal Densification Active learning for con volutional neural networks: A core-set approach

Reference 13

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raw_fallback, observed 2026-08-12T10:48:20.583334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation df2c9619-e6bb-4679-ada5-1dc8836429a9 · outbound

This paper cites Ucf101: A dataset of 101 human actions classes from videos in the wild.

Video Set Distillation: Information Diversification and Temporal Densification Ucf101: A dataset of 101 human actions classes from videos in the wild

Reference 14

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raw_fallback, observed 2026-08-12T10:48:20.569336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 57320e53-f82b-4697-ab2a-0e0cce3c28fc · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification On the diversity and realism of distilled dataset: Anefficient dataset distilla- tion paradigm

Reference 15

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raw_fallback, observed 2026-08-12T10:48:20.555113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 42bd8444-6cd2-48c5-aa43-03d3ef44c91d · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification Learning spatiotemporal features with 3d convolutional networks

Reference 16

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raw_fallback, observed 2026-08-12T10:48:20.540671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5074fdbd-83fa-43f4-a6fa-6e98f5eb8aaa · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification Cafe: Learning to condense dataset by aligning features

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3d09d48b-ee48-4d43-8ed3-617c08020fcd · outbound

This paper cites Dataset Distillation.

Video Set Distillation: Information Diversification and Temporal Densification Dataset Distillation

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d728facc-f689-4a50-bc93-8951c0ff9ddc · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification Dancing with still images: Video distillation via static-dynamic dis- entanglement

Reference 19

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raw_fallback, observed 2026-08-12T10:48:20.510954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 12853bee-d7b2-41f8-97e8-e48cfaf28ea4 · outbound

This paper cites Vision-Language Dataset Distillation.

Video Set Distillation: Information Diversification and Temporal Densification Vision-Language Dataset Distillation

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:48:20.313118Z digest=sha256:604a32ba59847199bf0e20c058c0f3eef61e65359bcce0819fb63efdc7fc8671

Observation 12b59358-fb25-4b40-8b92-5c46094055be · outbound

This paper cites Dataset pruning: Reducing training data by ex- amining generalization influence.

Video Set Distillation: Information Diversification and Temporal Densification Dataset pruning: Reducing training data by ex- amining generalization influence

Reference 21

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raw_fallback, observed 2026-08-12T10:48:20.496053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8262546e-08bc-42d8-a4e5-9755017351bc · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification Squeeze and recover and relabel: Dataset condensation at imagenet scale from a new perspective

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T10:48:20.322173Z digest=sha256:734773bd4404dacf3ecc9ad1557cbcf726ee452df1e6ce2bb23b2c3c6c77f089

Observation 3f0f7cda-2aff-40b6-8a66-c1b7d6589167 · outbound

This paper cites Dataset condensation with distri- bution matching.

Video Set Distillation: Information Diversification and Temporal Densification Dataset condensation with distri- bution matching

Reference 23

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raw_fallback, observed 2026-08-12T10:48:20.465436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T10:48:20.326722Z digest=sha256:1f3a5f036dadd717731274ac3fa6c70ba6578b39c79618a83d78bd16baf3e6d9

Observation 93c19220-3fd5-47f5-b2fb-b31eef27c44d · outbound

This paper cites Dataset condensation with gradient matching.

Video Set Distillation: Information Diversification and Temporal Densification Dataset condensation with gradient matching

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e7771bf6-e5bf-4e9d-97fc-b149d7146930 · outbound

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

Video Set Distillation: Information Diversification and Temporal Densification Im- proved distribution matching for dataset condensation

Reference 25

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raw_fallback, observed 2026-08-12T10:48:20.436137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T10:48:20.336250Z digest=sha256:4d677208b66144512148ef8171c322ee53862358a1634db82759c208912beac2

Observation 31fabd29-49b9-427c-8e16-2fbd56c841d1 · outbound

This paper cites Dataset distillation using neural feature regression.

Video Set Distillation: Information Diversification and Temporal Densification Dataset distillation using neural feature regression

Reference 26

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raw_fallback, observed 2026-08-12T10:48:20.420555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T10:48:20.340672Z digest=sha256:787132e15850047349b643bc5817059062d4f943d9f29476a6ca36a0693987aa

Pith citing papers

Observation 0abf64b7-2c61-410c-907a-47ea77b49a8a · inbound

Latent Video Dataset Distillation cites this paper.

Latent Video Dataset Distillation Video Set Distillation: Information Diversification and Temporal Densification

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:53:15.048795Z digest=sha256:4e9859024af9d14f3892acaedfb2062153c949419004032c4a7f18be16703254

Observation bf326d9a-9a10-438c-a3d8-561afef86ab4 · 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 Video Set Distillation: Information Diversification and Temporal Densification

Reference 32

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local_arxiv, observed 2026-08-07T13:52:47.399911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T13:52:46.479567Z digest=sha256:e60e7fe792d9aad5d9b5fa734990d85536f12651aa3aef53b864fcd57800ae30