Paper Citation Record · LEDGER

Emergent Temporal Correspondences from Video Diffusion Transformers

As of 17 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 5 inbound Pith citation observations for arXiv:2506.17220.

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

pith.paper-citation-record.v1
2506.17220 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:13:40.206348Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:51:02.404616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.483958Z

Reference resolution

83 of 83 outbound references displayed

verified exact3
verified fuzzy37
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d667174f-0174-4d1c-8067-ee8edf5577a8 · outbound

This paper cites GPT-4 Technical Report.

Emergent Temporal Correspondences from Video Diffusion Transformers GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.587882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aa4e928-019a-4e95-b902-deff9ee5bf74 · outbound

This paper cites Self-rectifying diffusion sampling with perturbed-attention guidance.

Emergent Temporal Correspondences from Video Diffusion Transformers Self-rectifying diffusion sampling with perturbed-attention guidance

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.618161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 720025fd-2594-439a-b772-c81b13b132b4 · outbound

This paper cites Cross-View Completion Models are Zero-shot Correspondence Estimators.

Emergent Temporal Correspondences from Video Diffusion Transformers Cross-View Completion Models are Zero-shot Correspondence Estimators

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.624015Z

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Observation 3157be52-84b8-44d4-8a19-d22a302d83ec · outbound

This paper cites Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.

Emergent Temporal Correspondences from Video Diffusion Transformers Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.630126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ae0dc1-4dd1-446a-babc-ed4975cb84be · outbound

This paper cites Can Visual Foundation Models Achieve Long-term Point Tracking?.

Emergent Temporal Correspondences from Video Diffusion Transformers Can Visual Foundation Models Achieve Long-term Point Tracking?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.635364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a0cbfe5-1465-4cfa-a541-fc5924e52bc5 · outbound

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

Emergent Temporal Correspondences from Video Diffusion Transformers Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.640365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef334008-58c0-411b-a554-718ab610f3d6 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Emergent Temporal Correspondences from Video Diffusion Transformers Align your latents: High-resolution video synthesis with latent diffusion models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.691658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b36b94-06f3-443d-8076-d2abc153124a · outbound

This paper cites DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation.

Emergent Temporal Correspondences from Video Diffusion Transformers DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.703145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335da015-e5d6-4308-bdd9-aaed01a63ee9 · outbound

This paper cites Can Generative Video Models Help Pose Estimation?.

Emergent Temporal Correspondences from Video Diffusion Transformers Can Generative Video Models Help Pose Estimation?

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:13:41.000631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 372abf9e-fd1f-441e-9c52-77ac313b2de7 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Emergent Temporal Correspondences from Video Diffusion Transformers Emerging properties in self-supervised vision transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.713091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd63fc9-ed9e-40b9-9262-05af6cc1665e · outbound

This paper cites VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models.

Emergent Temporal Correspondences from Video Diffusion Transformers VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.718442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d86ce4-71c2-4fc2-9461-af681ef6d2de · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

Emergent Temporal Correspondences from Video Diffusion Transformers VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.722682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcdcf13c-4af2-49d1-94e9-10333f1a0245 · outbound

This paper cites CATs: Cost aggregation transformers for visual correspondence.NeurIPS, 34:9011–9023, 2021.

Emergent Temporal Correspondences from Video Diffusion Transformers CATs: Cost aggregation transformers for visual correspondence.NeurIPS, 34:9011–9023, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.959581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fe13b774-46d7-4f59-bffd-1e143e5c33d8 · outbound

This paper cites CATs++: Boosting cost aggregation with convolutions and transformers.IEEE TPAMI, 45(6):7174–7194, 2022.

Emergent Temporal Correspondences from Video Diffusion Transformers CATs++: Boosting cost aggregation with convolutions and transformers.IEEE TPAMI, 45(6):7174–7194, 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.939150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f68ddba8-690b-4958-9c7b-a8d7b7341831 · outbound

This paper cites Seurat: From Moving Points to Depth.

Emergent Temporal Correspondences from Video Diffusion Transformers Seurat: From Moving Points to Depth

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.852878Z

Source-reported events for the cited work

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Observation 7a7c5bfc-ea72-47f3-a3b7-ad22484a8d66 · outbound

This paper cites Local all-pair correspondence for point tracking.

Emergent Temporal Correspondences from Video Diffusion Transformers Local all-pair correspondence for point tracking

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.822039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f3395634-0928-47da-80e6-ccc2e5a1dfaa · outbound

This paper cites Vision Transformers Need Registers.

Emergent Temporal Correspondences from Video Diffusion Transformers Vision Transformers Need Registers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.862232Z

Source-reported events for the cited work

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Observation 3c986a74-a6b8-4b9a-9803-2689d37ccb7a · outbound

This paper cites TAP-Vid: A benchmark for tracking any point in a video.NeurIPS, 35:13610–13626, 2022.

Emergent Temporal Correspondences from Video Diffusion Transformers TAP-Vid: A benchmark for tracking any point in a video.NeurIPS, 35:13610–13626, 2022

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.695873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a82932e7-36cb-41f1-8319-32a377a32d9a · outbound

This paper cites TAPIR: Tracking any point with per-frame initialization and temporal refinement.

Emergent Temporal Correspondences from Video Diffusion Transformers TAPIR: Tracking any point with per-frame initialization and temporal refinement

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.611186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b2003ff-6fbb-4af5-abe0-8df9aa9156a3 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Emergent Temporal Correspondences from Video Diffusion Transformers Scaling rectified flow transformers for high-resolution image synthesis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.961511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f5eb86-6c04-40e5-8b71-137af0883265 · outbound

This paper cites Perceptual quality assessment of smartphone photography.

Emergent Temporal Correspondences from Video Diffusion Transformers Perceptual quality assessment of smartphone photography

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.452787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e921545-138c-4ded-b054-d57a6a7305d5 · outbound

This paper cites CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

Emergent Temporal Correspondences from Video Diffusion Transformers CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.971715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6066171c-b810-4915-9367-280e54f8c5e5 · outbound

This paper cites Motion Prompting: Controlling Video Generation with Motion Trajectories.

Emergent Temporal Correspondences from Video Diffusion Transformers Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.975658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb2c98d-a25a-4595-8494-b293fdb143bf · outbound

This paper cites Mochi 1: A new SOTA in open-source video generation models, 2023.

Emergent Temporal Correspondences from Video Diffusion Transformers Mochi 1: A new SOTA in open-source video generation models, 2023

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.390377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66fcffc3-04b9-4896-a1ae-75e4fe170bab · outbound

This paper cites SparseCtrl: Adding sparse controls to text-to-video diffusion models.

Emergent Temporal Correspondences from Video Diffusion Transformers SparseCtrl: Adding sparse controls to text-to-video diffusion models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.328877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f442abc9-75f3-4fd7-aab7-3498a74b3651 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Emergent Temporal Correspondences from Video Diffusion Transformers AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:38.990688Z

Source-reported events for the cited work

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Observation 2e4c1763-768f-4813-940e-81297155648d · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

Emergent Temporal Correspondences from Video Diffusion Transformers LTX-Video: Realtime Video Latent Diffusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.011253Z

Source-reported events for the cited work

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Observation 5a0beaf0-fc71-4364-83ec-60bcfb33eb53 · outbound

This paper cites Harley, Zhaoyuan Fang, and Katerina Fragkiadaki.

Emergent Temporal Correspondences from Video Diffusion Transformers Harley, Zhaoyuan Fang, and Katerina Fragkiadaki

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.289520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 39821cab-3ba0-4fd2-bd7a-cb7c7ce76a6e · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Emergent Temporal Correspondences from Video Diffusion Transformers Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.114343Z

Source-reported events for the cited work

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Observation fa35a892-0df5-42c6-a7dc-19ae6d5ac23a · outbound

This paper cites Unsupervised semantic correspondence using stable diffusion.NeurIPS, 36:8266–8279, 2023.

Emergent Temporal Correspondences from Video Diffusion Transformers Unsupervised semantic correspondence using stable diffusion.NeurIPS, 36:8266–8279, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.273165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f6413a89-f3da-4fe7-9c0a-af2769bdb820 · outbound

This paper cites Denoising diffusion probabilistic models.NeurIPS, 33:6840– 6851, 2020.

Emergent Temporal Correspondences from Video Diffusion Transformers Denoising diffusion probabilistic models.NeurIPS, 33:6840– 6851, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.173878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a2b514bb-3489-4d12-aec4-a5e0e0e5c9c6 · outbound

This paper cites Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence.

Emergent Temporal Correspondences from Video Diffusion Transformers Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.128864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc77ebad-7518-4716-baae-0ec19155cd71 · outbound

This paper cites Cost aggregation with 4D convolutional swin transformer for few-shot segmentation.

Emergent Temporal Correspondences from Video Diffusion Transformers Cost aggregation with 4D convolutional swin transformer for few-shot segmentation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.119740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2ac08c4b-4c11-499f-b871-f4435aab7cf2 · outbound

This paper cites Unifying correspondence pose and nerf for generalized pose-free novel view synthesis.

Emergent Temporal Correspondences from Video Diffusion Transformers Unifying correspondence pose and nerf for generalized pose-free novel view synthesis

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.025900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc1d3be2-47d3-45a3-9939-c21ebe4ca8cf · outbound

This paper cites Deep matching prior: Test-time optimization for dense correspon- dence.

Emergent Temporal Correspondences from Video Diffusion Transformers Deep matching prior: Test-time optimization for dense correspon- dence

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:43.008580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 811b445e-ace6-4c39-b735-28bb56fe30a3 · outbound

This paper cites Neural matching fields: Implicit representation of matching fields for visual correspondence.NeurIPS, 35:13512–13526, 2022.

Emergent Temporal Correspondences from Video Diffusion Transformers Neural matching fields: Implicit representation of matching fields for visual correspondence.NeurIPS, 35:13512–13526, 2022

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.825966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6b06d83-a966-4503-8475-c1bdbed5c6da · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

Emergent Temporal Correspondences from Video Diffusion Transformers VBench: Comprehensive benchmark suite for video generative models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.808548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e511ab6b-bbc3-4577-9c92-8c89d679f741 · outbound

This paper cites Space-time correspondence as a contrastive random walk.

Emergent Temporal Correspondences from Video Diffusion Transformers Space-time correspondence as a contrastive random walk

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.789974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f1b61264-22c8-40db-9f42-360642c5195a · outbound

This paper cites Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation.

Emergent Temporal Correspondences from Video Diffusion Transformers Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.257714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97805d44-ad69-4e2d-9d20-55c463834da5 · outbound

This paper cites Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild.

Emergent Temporal Correspondences from Video Diffusion Transformers Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:13:40.767937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ba5f69c1-c466-4e7d-b68a-8fe2c5615902 · outbound

This paper cites CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos.

Emergent Temporal Correspondences from Video Diffusion Transformers CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.267934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143386ba-99a7-4f30-8a62-e8a69ddb0e33 · outbound

This paper cites CoTracker: It is better to track together.

Emergent Temporal Correspondences from Video Diffusion Transformers CoTracker: It is better to track together

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.766778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26c5ddf7-c618-4537-88d2-59aec05fd1b8 · outbound

This paper cites MUSIQ: Multi-scale image quality transformer.

Emergent Temporal Correspondences from Video Diffusion Transformers MUSIQ: Multi-scale image quality transformer

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.750973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 81b736a7-1451-4379-9744-d565a8ab7b78 · outbound

This paper cites Exploring Temporally-Aware Features for Point Tracking.

Emergent Temporal Correspondences from Video Diffusion Transformers Exploring Temporally-Aware Features for Point Tracking

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:13:40.678647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4058f211-7f87-4e58-bc0b-f97b9417d45a · outbound

This paper cites MoDiTalker: Motion-disentangled diffusion model for high-fidelity talking head generation.

Emergent Temporal Correspondences from Video Diffusion Transformers MoDiTalker: Motion-disentangled diffusion model for high-fidelity talking head generation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.663115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d731154-c6f7-4fd7-a74d-711eefd5279b · outbound

This paper cites Berg, Wan-Yen Lo, et al.

Emergent Temporal Correspondences from Video Diffusion Transformers Berg, Wan-Yen Lo, et al

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.648010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a6e781b-c4ef-4a0f-81ae-4189cd7c8c4c · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Emergent Temporal Correspondences from Video Diffusion Transformers HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.411683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 596a9e4f-4bc8-49c1-bb5d-4b7a3741329a · outbound

This paper cites Kling: Video generation by kuaishou, 2024.

Emergent Temporal Correspondences from Video Diffusion Transformers Kling: Video generation by kuaishou, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.573897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0fbe97fc-80df-44af-ac1b-57d4c8b2c169 · outbound

This paper cites Efficient spatially sparse inference for conditional gans and diffusion models.NeurIPS, 35:28858–28873, 2022.

Emergent Temporal Correspondences from Video Diffusion Transformers Efficient spatially sparse inference for conditional gans and diffusion models.NeurIPS, 35:28858–28873, 2022

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.499942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ccd121ab-a919-48be-b891-2ad6528f30c2 · outbound

This paper cites Spatial-then-temporal self-supervised learning for video correspondence.

Emergent Temporal Correspondences from Video Diffusion Transformers Spatial-then-temporal self-supervised learning for video correspondence

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.443079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 90a6b606-ee26-4627-a0b7-53dd9999f42f · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

Emergent Temporal Correspondences from Video Diffusion Transformers ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.506088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d77039e-0df3-4b17-ab88-82f11ccd6125 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Emergent Temporal Correspondences from Video Diffusion Transformers Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.510944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9990f26c-fd8a-4df9-9c8f-f7930005e5c7 · outbound

This paper cites Not all diffusion model activations have been evaluated as discriminative features.NeurIPS, 37:55141–55177, 2025.

Emergent Temporal Correspondences from Video Diffusion Transformers Not all diffusion model activations have been evaluated as discriminative features.NeurIPS, 37:55141–55177, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.322221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bdfb7234-6734-47f1-a680-c4c1a4c41309 · outbound

This paper cites DreamMatcher: appearance matching self-attention for semantically-consistent text-to-image personalization.

Emergent Temporal Correspondences from Video Diffusion Transformers DreamMatcher: appearance matching self-attention for semantically-consistent text-to-image personalization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.305310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e796b727-caed-4871-bbb2-6f58a84a91ed · outbound

This paper cites Diffusion Model for Dense Matching.

Emergent Temporal Correspondences from Video Diffusion Transformers Diffusion Model for Dense Matching

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.669281Z

Source-reported events for the cited work

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Observation 191a8596-d505-4d96-8833-0028ceff3908 · outbound

This paper cites Visual Persona: Foundation Model for Full-Body Human Customization.

Emergent Temporal Correspondences from Video Diffusion Transformers Visual Persona: Foundation Model for Full-Body Human Customization

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:13:40.557927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03198abf-ae6d-4fdc-92e2-e155a9838b2c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Emergent Temporal Correspondences from Video Diffusion Transformers DINOv2: Learning Robust Visual Features without Supervision

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.679605Z

Source-reported events for the cited work

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Observation 8a8467e4-cf6f-4b84-ad33-ef018b3f5a5e · outbound

This paper cites Scalable diffusion models with transformers.

Emergent Temporal Correspondences from Video Diffusion Transformers Scalable diffusion models with transformers

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.685451Z

Source-reported events for the cited work

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Observation 84d46051-60bd-412a-8cee-78d597477bd1 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Emergent Temporal Correspondences from Video Diffusion Transformers SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.691810Z

Source-reported events for the cited work

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Observation 750dd959-4eea-4cbf-9a44-9decd7879ccf · outbound

This paper cites Movie Gen: A cast of media foundation models, 2025.

Emergent Temporal Correspondences from Video Diffusion Transformers Movie Gen: A cast of media foundation models, 2025

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.212793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4397c251-e36b-43cf-bd37-2209c9cc56f1 · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Emergent Temporal Correspondences from Video Diffusion Transformers The 2017 DAVIS Challenge on Video Object Segmentation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.788381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6960061-cde2-4743-af19-2e8370c0d9b4 · outbound

This paper cites Semantics meets temporal correspondence: Self- supervised object-centric learning in videos.

Emergent Temporal Correspondences from Video Diffusion Transformers Semantics meets temporal correspondence: Self- supervised object-centric learning in videos

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.195229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 594e3340-0fdb-4d73-b40a-217b69f0ee06 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Emergent Temporal Correspondences from Video Diffusion Transformers Learning transferable visual models from natural language supervision

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.823600Z

Source-reported events for the cited work

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Observation 72d7111e-42c4-46b6-98cf-274ae5656bbe · outbound

This paper cites an unresolved cited work.

Emergent Temporal Correspondences from Video Diffusion Transformers Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:13:42.139594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efd69bfd-d978-403d-83cb-c3d94b1630e5 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Emergent Temporal Correspondences from Video Diffusion Transformers High-resolution image synthesis with latent diffusion models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.833861Z

Source-reported events for the cited work

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Observation 8780f1eb-469a-457e-a5f2-f2445ab3bb97 · outbound

This paper cites Introducing Gen-3 Alpha, 2024.

Emergent Temporal Correspondences from Video Diffusion Transformers Introducing Gen-3 Alpha, 2024

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.114305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6912f63-954a-4a6f-a455-71737afcc15e · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Emergent Temporal Correspondences from Video Diffusion Transformers Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.844362Z

Source-reported events for the cited work

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Observation 80d30d88-9235-4a58-9c54-838715681181 · outbound

This paper cites Denoising Diffusion Implicit Models.

Emergent Temporal Correspondences from Video Diffusion Transformers Denoising Diffusion Implicit Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.881217Z

Source-reported events for the cited work

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Observation 0633a4b2-2e23-4b0e-b10c-82f32bd4e20d · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

Emergent Temporal Correspondences from Video Diffusion Transformers Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.933730Z

Source-reported events for the cited work

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Observation aa8f1fe9-27d9-4348-a6a6-401f47abb153 · outbound

This paper cites DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion.

Emergent Temporal Correspondences from Video Diffusion Transformers DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:39.939649Z

Source-reported events for the cited work

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Observation 92a5006e-b65d-4fbd-b4c1-dc643758d51d · outbound

This paper cites Emergent correspondence from image diffusion.NeurIPS, 36:1363–1389, 2023.

Emergent Temporal Correspondences from Video Diffusion Transformers Emergent correspondence from image diffusion.NeurIPS, 36:1363–1389, 2023

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:42.089298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 35976cb2-6e83-47ba-831d-4df7642ab946 · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow.

Emergent Temporal Correspondences from Video Diffusion Transformers RAFT: Recurrent all-pairs field transforms for optical flow

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:41.950837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f3bdeda-b99e-4963-974e-65f05a75398c · outbound

This paper cites GLU-Net: Global-local universal network for dense flow and correspondences.

Emergent Temporal Correspondences from Video Diffusion Transformers GLU-Net: Global-local universal network for dense flow and correspondences

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:41.890337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f088dc25-a18d-4988-b2cc-7efb65d16c2f · outbound

This paper cites Learning accurate dense correspon- dences and when to trust them.

Emergent Temporal Correspondences from Video Diffusion Transformers Learning accurate dense correspon- dences and when to trust them

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:41.770708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 16e739dc-0e71-4631-a8ad-9e3b5aad1253 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Emergent Temporal Correspondences from Video Diffusion Transformers Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:41.621054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 56f38322-c7d3-47af-ba9d-df34764ed62e · outbound

This paper cites CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.

Emergent Temporal Correspondences from Video Diffusion Transformers CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:40.050744Z

Source-reported events for the cited work

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Observation 71215075-cecb-4c25-8509-20f0bfe36853 · outbound

This paper cites Video Diffusion Models are Training-free Motion Interpreter and Controller.

Emergent Temporal Correspondences from Video Diffusion Transformers Video Diffusion Models are Training-free Motion Interpreter and Controller

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:40.056138Z

Source-reported events for the cited work

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Observation 434068e2-d2e7-4a0e-966c-968658c06bd0 · outbound

This paper cites DynamiCrafter: Animating open-domain images with video diffusion priors.

Emergent Temporal Correspondences from Video Diffusion Transformers DynamiCrafter: Animating open-domain images with video diffusion priors

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:41.496368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5f0bf968-ae86-41b8-81db-55c7770c86f0 · outbound

This paper cites Rethinking self-supervised correspondence learning: A video frame-level similarity perspective.

Emergent Temporal Correspondences from Video Diffusion Transformers Rethinking self-supervised correspondence learning: A video frame-level similarity perspective

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:41.342982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 326fb110-3160-487c-9171-65cf122024e0 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

Emergent Temporal Correspondences from Video Diffusion Transformers CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:40.190379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5616778c-5335-475e-84ff-dc368a19dc30 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.NeurIPS, 36:45533–45547, 2023.

Emergent Temporal Correspondences from Video Diffusion Transformers A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.NeurIPS, 36:45533–45547, 2023

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:13:41.248103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bab06ec1-95da-4441-aae9-cdc3817c1259 · outbound

This paper cites World-consistent Video Diffusion with Explicit 3D Modeling.

Emergent Temporal Correspondences from Video Diffusion Transformers World-consistent Video Diffusion with Explicit 3D Modeling

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:40.201882Z

Source-reported events for the cited work

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Observation 2a288842-bd80-40f9-ab84-029626272ace · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

Emergent Temporal Correspondences from Video Diffusion Transformers Open-Sora: Democratizing Efficient Video Production for All

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T19:13:40.206348Z

Source-reported events for the cited work

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Pith citing papers

Observation 1a61c6d2-5b04-48cc-8f92-960d16369481 · inbound

TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking cites this paper.

TrackCraft3R: Repurposing Video Diffusion Transformers for Dense 3D Tracking Emergent Temporal Correspondences from Video Diffusion Transformers

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:29:28.981190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 080a97df-cd2c-4677-92d0-e4204c1d6f08 · inbound

Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning cites this paper.

Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning Emergent Temporal Correspondences from Video Diffusion Transformers

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:13.652234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4aaee8e3-0ee6-43c6-a899-01dbf60d87fa · inbound

QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers cites this paper.

QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers Emergent Temporal Correspondences from Video Diffusion Transformers

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T16:28:38.485470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2c825ce-0016-4433-b2f9-1252f9b3732f · inbound

Controlling Motion Transfer in Diffusion Transformers via Attention Heads cites this paper.

Controlling Motion Transfer in Diffusion Transformers via Attention Heads Emergent Temporal Correspondences from Video Diffusion Transformers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T07:11:45.493916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d76611-dc7a-47f3-b541-efa44cb57232 · inbound

ASTRA: Asynchronous Spatio-Temporal Reconstruction via Trajectory Alignment cites this paper.

ASTRA: Asynchronous Spatio-Temporal Reconstruction via Trajectory Alignment Emergent Temporal Correspondences from Video Diffusion Transformers

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T16:51:02.404616Z

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