Paper Citation Record · LEDGER

Latent Video Dataset Distillation

As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2504.17132.

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

pith.paper-citation-record.v1
2504.17132 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:53:15.054337Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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

measured 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

50 of 50 outbound references displayed

verified exact3
verified fuzzy25
unresolved20
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8263bcd-94ad-4480-8f03-197298b9fccd · outbound

This paper cites https : / / huggingface.

Latent Video Dataset Distillation https : / / huggingface

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:16.122734Z

Source-reported events for the cited work

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

Observation ce7455de-3b68-4aec-8c93-276430d6e49a · outbound

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

Latent Video Dataset Distillation Quo vadis, action recognition? a new model and the kinetics dataset

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:16.103943Z

Source-reported events for the cited work

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

Observation 91d73814-8311-4efa-a08e-d4aca06f9f73 · outbound

This paper cites Dataset distillation by matching training trajectories.

Latent Video Dataset Distillation Dataset distillation by matching training trajectories

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:16.086843Z

Source-reported events for the cited work

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

Observation f2103ad3-ffa4-4091-ab68-0b0df53e7ac5 · outbound

This paper cites DC-BENCH: Dataset Condensation Benchmark.

Latent Video Dataset Distillation DC-BENCH: Dataset Condensation Benchmark

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.813204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01bb94bc-c93b-4fbb-87c8-cc376d5de091 · outbound

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

Latent Video Dataset Distillation Scaling up dataset distillation to imagenet-1k with constant memory

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:16.069001Z

Source-reported events for the cited work

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

Observation b4f42872-16b3-4f73-89fb-004b2ede2518 · outbound

This paper cites Dataset Distillation in Latent Space.

Latent Video Dataset Distillation Dataset Distillation in Latent Space

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.824000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43fcdf8-cb7f-42db-9321-f8048f206539 · outbound

This paper cites Bayesian clustering of high-dimensional data via latent repulsive mixtures.

Latent Video Dataset Distillation Bayesian clustering of high-dimensional data via latent repulsive mixtures

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:53:15.595008Z

Source-reported events for the cited work

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

Observation 87cddc00-3932-418f-a92d-5a4c84191301 · outbound

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

Latent Video Dataset Distillation The ”something something” video database for learning and evaluating visual common sense,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.834725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b83ea92-089c-4b17-8a30-28c4a8416b61 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Latent Video Dataset Distillation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.839799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e759c034-85e2-4c49-80c5-82506eb8b179 · outbound

This paper cites I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models.

Latent Video Dataset Distillation I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.846411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0e210a-52af-434b-abb5-a0939e6ebecd · outbound

This paper cites What makes a video a video: Ana- lyzing temporal information in video understanding models and datasets.

Latent Video Dataset Distillation What makes a video a video: Ana- lyzing temporal information in video understanding models and datasets

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:16.037582Z

Source-reported events for the cited work

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

Observation d280f4da-9d1a-43a4-bf6b-b5a7c9e27561 · outbound

This paper cites K-means clustering algo- rithms: A comprehensive review, variants analysis, and ad- vances in the era of big data.

Latent Video Dataset Distillation K-means clustering algo- rithms: A comprehensive review, variants analysis, and ad- vances in the era of big data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:16.019052Z

Source-reported events for the cited work

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

Observation 2a9a6ee8-d3b8-44de-b751-5de9c6ed19bb · outbound

This paper cites Auto-encoding vari- ational bayes, 2013.

Latent Video Dataset Distillation Auto-encoding vari- ational bayes, 2013

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:16.001812Z

Source-reported events for the cited work

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

Observation 2c9fb88f-d3b6-4ee0-8138-5602b8c73717 · outbound

This paper cites An introduction to variational autoencoders.

Latent Video Dataset Distillation An introduction to variational autoencoders

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.985496Z

Source-reported events for the cited work

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

Observation 7c5decab-adbb-4d66-a49d-4b998ca49fb9 · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

Latent Video Dataset Distillation VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.871854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba0f978a-7101-4fc7-8974-b313c392a2fa · outbound

This paper cites Kuehne, H.

Latent Video Dataset Distillation Kuehne, H

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.968154Z

Source-reported events for the cited work

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

Observation 0fca5db3-47dd-4c9f-adcd-63d329c43b7f · outbound

This paper cites Determinantal point processes for machine learning.

Latent Video Dataset Distillation Determinantal point processes for machine learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.952344Z

Source-reported events for the cited work

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

Observation f03bdf53-2e55-4d95-a740-e00e68a57682 · outbound

This paper cites Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective.

Latent Video Dataset Distillation Analyzing Multimodal Integration in the Variational Autoencoder from an Information-Theoretic Perspective

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:53:15.518168Z

Source-reported events for the cited work

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

Observation 112b75e9-673b-4d17-9c7e-94992ba55f9f · outbound

This paper cites Generative Dataset Distillation: Balancing global structure and local details.

Latent Video Dataset Distillation Generative Dataset Distillation: Balancing global structure and local details

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.918322Z

Source-reported events for the cited work

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

Observation c26a7f6a-162b-4c2e-a662-c89e6eeda834 · outbound

This paper cites Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, and Jan C.

Latent Video Dataset Distillation Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, and Jan C

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.899132Z

Source-reported events for the cited work

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

Observation 6b05214f-c8a5-4068-961b-e4a66da1e6c4 · outbound

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

Latent Video Dataset Distillation DREAM: Efficient Dataset Distillation by Representative Matching

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.912156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bcda06e-5696-4259-b89b-6b60da5bec83 · outbound

This paper cites Efficient Dataset Distillation Using Random Feature Approximation.

Latent Video Dataset Distillation Efficient Dataset Distillation Using Random Feature Approximation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.918259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef8fe9be-be7d-4e8a-bc90-d15f13944bf5 · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

Latent Video Dataset Distillation Latte: Latent Diffusion Transformer for Video Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.924979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89db87b9-abc3-47df-9ea7-0d6fbdc7d5ef · outbound

This paper cites Bayesian pseudocoresets.

Latent Video Dataset Distillation Bayesian pseudocoresets

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.881193Z

Source-reported events for the cited work

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

Observation 50ee4e3b-be57-45e7-9a55-bf283c44b841 · outbound

This paper cites Latent dataset distillation with diffusion models.

Latent Video Dataset Distillation Latent dataset distillation with diffusion models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.936327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6d12aed-6b30-48e8-a9cb-e87c2d5b7a51 · outbound

This paper cites Diversi- fied sampling for batched bayesian optimization with deter- minantal point processes.

Latent Video Dataset Distillation Diversi- fied sampling for batched bayesian optimization with deter- minantal point processes

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.862860Z

Source-reported events for the cited work

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

Observation 5080dacb-d305-41df-b99d-b6c9ceede02e · outbound

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

Latent Video Dataset Distillation Dataset Meta-Learning from Kernel Ridge-Regression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.946215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f60b66-2c58-493c-a391-8d0dc7d35686 · outbound

This paper cites Dataset distillation with infinitely wide convolutional networks.

Latent Video Dataset Distillation Dataset distillation with infinitely wide convolutional networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.845335Z

Source-reported events for the cited work

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

Observation 723c06a6-f6e6-4657-938d-a228f74f9d81 · outbound

This paper cites Black box variational inference.

Latent Video Dataset Distillation Black box variational inference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.829160Z

Source-reported events for the cited work

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

Observation 8b23e69d-b21f-4107-a4fe-fdbf9866967d · outbound

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

Latent Video Dataset Distillation Active learning for con- volutional neural networks: A core-set approach

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.812124Z

Source-reported events for the cited work

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

Observation 609a7073-d7d2-4c85-9c44-fd9009e95a31 · outbound

This paper cites Harp: Autoregressive latent video pre- diction with high-fidelity image generator.

Latent Video Dataset Distillation Harp: Autoregressive latent video pre- diction with high-fidelity image generator

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.793780Z

Source-reported events for the cited work

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

Observation c683cdcc-58c3-4c3d-a433-28429ae144fa · outbound

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

Latent Video Dataset Distillation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.970671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751bb983-66a0-4e79-89b5-3a1670aa784e · outbound

This paper cites Bayesian Pseudo-Coresets via Contrastive Divergence.

Latent Video Dataset Distillation Bayesian Pseudo-Coresets via Contrastive Divergence

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.975523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cecff7fa-4b73-4151-97af-f424f00e9b12 · outbound

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

Latent Video Dataset Distillation Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.776481Z

Source-reported events for the cited work

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

Observation 2a450ccf-e0b8-4c4d-be5e-be6dcbef8694 · outbound

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

Latent Video Dataset Distillation Learning spatiotemporal features with 3d convolutional networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.985752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c86a019-08cd-4224-aa47-2525585ec77f · outbound

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

Latent Video Dataset Distillation Cafe: Learning to condense dataset by aligning features

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.745377Z

Source-reported events for the cited work

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

Observation 89d13229-b2c7-433b-909a-4ada3e2ce53a · outbound

This paper cites DiM: Distilling Dataset into Generative Model.

Latent Video Dataset Distillation DiM: Distilling Dataset into Generative Model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:14.994867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd46076-85fe-4229-9030-adcdb8025dad · outbound

This paper cites Dataset Distillation.

Latent Video Dataset Distillation Dataset Distillation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:15.000031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658d6870-812f-4f75-b06b-6a046f59af80 · outbound

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

Latent Video Dataset Distillation Dancing with still images: Video distillation via static-dynamic dis- entanglement

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.724973Z

Source-reported events for the cited work

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

Observation d0d8bf39-f78b-46bb-880a-4fbb8684589f · outbound

This paper cites Herding dynamical weights to learn.

Latent Video Dataset Distillation Herding dynamical weights to learn

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.703609Z

Source-reported events for the cited work

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

Observation 6758a5ad-7fa1-40e5-ad44-8066ecc19078 · outbound

This paper cites Dataset Pruning: Reducing Training Data by Examining Generalization Influence.

Latent Video Dataset Distillation Dataset Pruning: Reducing Training Data by Examining Generalization Influence

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:15.015321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134ea782-fa1a-41ef-ae31-5741308c6e88 · outbound

This paper cites Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning.

Latent Video Dataset Distillation Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:53:15.200151Z

Source-reported events for the cited work

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

Observation 0fed5b5f-be86-40f6-9ba0-61fbac8b15cb · outbound

This paper cites Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

Latent Video Dataset Distillation Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:15.025239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c38e6963-46b9-44d3-82f2-d4a5b8b9fb8b · outbound

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

Latent Video Dataset Distillation Dataset condensation with differ- entiable siamese augmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.686775Z

Source-reported events for the cited work

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

Observation 04437fac-2985-4b82-9995-68ace7129c96 · outbound

This paper cites Dataset condensation with distri- bution matching.

Latent Video Dataset Distillation Dataset condensation with distri- bution matching

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.670156Z

Source-reported events for the cited work

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

Observation 55be4b63-115c-4546-9019-2f4c218667bb · outbound

This paper cites Dataset Condensation with Gradient Matching.

Latent Video Dataset Distillation Dataset Condensation with Gradient Matching

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:15.039341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a4548d-2b67-4853-b60c-566d65bc4dce · outbound

This paper cites Cv- vae: A compatible video vae for latent generative video mod- els.

Latent Video Dataset Distillation Cv- vae: A compatible video vae for latent generative video mod- els

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:15.651131Z

Source-reported events for the cited work

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

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

This paper cites Video Set Distillation: Information Diversification and Temporal Densification.

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

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:15.048795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b059890b-44f8-4f26-9449-0599ff6f378f · outbound

This paper cites Dataset Distillation using Neural Feature Regression.

Latent Video Dataset Distillation Dataset Distillation using Neural Feature Regression

Reference 49

Resolution: malformed identifier; no resolver link, observed 2026-08-16T10:53:15.054337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5314f6-5152-4f17-9be0-132957a9490c · outbound

This paper cites an unresolved cited work.

Latent Video Dataset Distillation Unresolved cited work

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-16T10:53:15.935292Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.