Paper Citation Record · LEDGER

GVD: Guiding Video Diffusion Model for Scalable Video Distillation

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2507.22360.

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

pith.paper-citation-record.v1
2507.22360 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:50:47.216217Z

measured 33 of 33 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:55:57.943221Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:56:04.333490Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy16
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55415061-4090-4fa4-8d80-c656e9f2c31e · outbound

This paper cites The k-means algorithm: A comprehensive survey and performance evaluation.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation The k-means algorithm: A comprehensive survey and performance evaluation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:50.809434Z

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 9e0cb114-b1ed-42f1-9b57-8096cb5f61d9 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:43.692271Z

Source-reported events for the cited work

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Observation be9bca56-8071-491d-bcdf-baaed02d6c82 · outbound

This paper cites Dataset distillation by matching training trajectories.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Dataset distillation by matching training trajectories

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:50.582857Z

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 a4da862e-8622-4186-9f77-3752ab543f01 · outbound

This paper cites MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:43.925258Z

Source-reported events for the cited work

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Observation 9b09688f-f9d4-486b-a12a-f35cf1cbbd06 · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Remember the past: Distilling datasets into addressable memories for neural net- works

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:50.296724Z

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 8033d85b-0749-46d3-9f91-3607293e2fd2 · outbound

This paper cites Euclidean distance matrices: essential theory, algo- rithms, and applications.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Euclidean distance matrices: essential theory, algo- rithms, and applications

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:50.136952Z

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 5b3a4a22-7bfe-43fd-8bad-dc777ce8ad79 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Taming transformers for high-resolution image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:49.756108Z

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 b5d7148b-3058-47ad-9e44-2b2b429bed58 · outbound

This paper cites Efficient dataset distillation via minimax diffusion.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Efficient dataset distillation via minimax diffusion

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:49.551198Z

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 1046d792-c671-4d4a-bbf2-84bae150f877 · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:44.391115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d1973fc-08af-4c2f-b147-03f92dca251f · outbound

This paper cites Video dif- fusion models.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Video dif- fusion models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:44.489370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59187423-7117-4b01-aeae-19ff9381a6c9 · outbound

This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Text2video-zero: Text- to-image diffusion models are zero-shot video generators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:44.620838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa695f4-2350-4442-90ac-a51119b06b11 · outbound

This paper cites Hmdb: a large video database for human motion recognition.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Hmdb: a large video database for human motion recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:49.267419Z

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 2f4bfc2e-d96f-4515-a334-0186848a9b85 · outbound

This paper cites When does label smoothing help? Advances in neural in- formation processing systems, 32, 2019.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation When does label smoothing help? Advances in neural in- formation processing systems, 32, 2019

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:49.094114Z

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 eb449db9-e0ec-4b7a-87d7-cf880fe88ba1 · outbound

This paper cites Improved denoising diffusion probabilistic models.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Improved denoising diffusion probabilistic models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:45.045076Z

Source-reported events for the cited work

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Observation ea8d5af0-8528-4dd0-b539-4411c2df5ba9 · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:45.162655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9361ea6-02c8-44ea-b4c9-8424e369705f · outbound

This paper cites TR-DQ: Time-Rotation Diffusion Quantization.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation TR-DQ: Time-Rotation Diffusion Quantization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:45.306593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a68af3e-888e-4d70-845c-ecdd2e19ebc4 · outbound

This paper cites In-Context Meta LoRA Generation.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation In-Context Meta LoRA Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:45.432338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fead491e-ae4d-427a-806b-522a6b3e3a0c · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:45.548473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb5fa4d-d0f6-4c60-b0cf-43c7f058ebe5 · outbound

This paper cites ”d 4: Dataset distillation via disentangled diffu- sion model”.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation ”d 4: Dataset distillation via disentangled diffu- sion model”

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:48.870753Z

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 28a5835d-5dbb-42de-bffd-7f9b78b29953 · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation On the diversity and realism of distilled dataset: An efficient dataset distilla- tion paradigm

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:45.793557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a466321-c56d-46b4-a800-af0fd4afc265 · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:48.679867Z

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 01de0132-1aaa-4326-8586-c14070a08716 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation ModelScope Text-to-Video Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:46.079411Z

Source-reported events for the cited work

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Observation d21a5fc7-f138-4ccb-841e-4f3dd2f16ae6 · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Dancing with still images: Video distillation via static-dynamic dis- entanglement

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:48.501664Z

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 a2d063e6-914f-4290-9e8b-12107d21ce42 · outbound

This paper cites Herding dynamical weights to learn.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Herding dynamical weights to learn

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:48.301145Z

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 6f14b580-a730-40db-b004-e9fc944a51bd · outbound

This paper cites What is Dataset Distillation Learning?.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation What is Dataset Distillation Learning?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:46.428800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e274cf27-d37b-47fe-a483-539b2ed693f0 · outbound

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

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:48.156773Z

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 2d6e0efc-be5c-4cad-b1f9-c6c52dd9ef5b · outbound

This paper cites Dataset dis- tillation: A comprehensive review.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Dataset dis- tillation: A comprehensive review

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:48.002931Z

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 38adc34b-3bbd-4969-9b31-d39ac8cfbe9e · outbound

This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:46.837535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 092a7a6b-fc64-403e-b50e-f81e61073882 · outbound

This paper cites Dataset condensation with dis- tribution matching.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Dataset condensation with dis- tribution matching

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:47.827986Z

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 76f58cf5-51fd-4605-a932-d92c15ee25ff · outbound

This paper cites Dataset Condensation with Gradient Matching.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Dataset Condensation with Gradient Matching

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:47.085982Z

Source-reported events for the cited work

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Observation 0a344756-8bab-49f4-bc48-d35bd9684328 · outbound

This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation MagicVideo: Efficient Video Generation With Latent Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:50:47.141919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b9860e-57fe-4099-a57e-b41ed8d5e407 · outbound

This paper cites Dataset distillation using neural feature regression.Advances in Neu- ral Information Processing Systems, 35:9813–9827, 2022.

GVD: Guiding Video Diffusion Model for Scalable Video Distillation Dataset distillation using neural feature regression.Advances in Neu- ral Information Processing Systems, 35:9813–9827, 2022

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:47.648775Z

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.

Pith citing papers

Observation 2d78dec0-2a77-4e2c-a3f4-b26bc3bd21ee · inbound

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation cites this paper.

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation GVD: Guiding Video Diffusion Model for Scalable Video Distillation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:56:04.380606Z

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.