Paper Citation Record · LEDGER

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

As of 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 13 inbound Pith citation observations for arXiv:2501.02690.

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

pith.paper-citation-record.v1
2501.02690 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:11:41.595985Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:02:56.732859Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T14:03:48.615075Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy22
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a45d39da-6dd9-4233-b90c-d448a2abbc67 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Deep Learning using Rectified Linear Units (ReLU)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.321479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc976e58-5c9f-42d1-89d0-d99a513911b5 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.380979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7c236333-e20f-4930-ab43-d488b83c2c6d · outbound

This paper cites 4d visualization of dynamic events from unconstrained multi-view videos.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking 4d visualization of dynamic events from unconstrained multi-view videos

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.335226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557de4b4-98fe-4d2d-a18a-9bcdd1ad0fd2 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.356516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd1373a-f2cd-4af5-b213-0076bcbe5cb6 · outbound

This paper cites Context-pips: Persistent in- dependent particles demands spatial context features.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Context-pips: Persistent in- dependent particles demands spatial context features

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.365016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bc019434-7615-4d20-a0e5-8508171e92ca · outbound

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

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.379518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61f7886c-b782-407d-bd67-bb68fa4609be · outbound

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

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.383261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9eb097-9ab3-4cab-bf78-ec42b40f3ae9 · outbound

This paper cites Video generation models as world simulators.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Video generation models as world simulators

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.386223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c2198ad-ebef-47d7-87c8-dec8bd4f5d19 · outbound

This paper cites V3D: Video Diffusion Models are Effective 3D Generators.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking V3D: Video Diffusion Models are Effective 3D Generators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.389577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02c96bb-d369-4d63-b215-dae478954c34 · outbound

This paper cites Diffusion models beat gans on image synthesis.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Diffusion models beat gans on image synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.392509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a87284d-4d17-4b2f-bb36-117ef2119cd9 · outbound

This paper cites TAP-vid: A benchmark for track- ing any point in a video.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking TAP-vid: A benchmark for track- ing any point in a video

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.342469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0200e048-07ef-4dd5-8986-44eb7ac21619 · outbound

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

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Tapir: Tracking any point with per-frame initialization and temporal refinement

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.322781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8daa3a62-083a-42e5-9c4c-aa63e7dbe022 · outbound

This paper cites Boot- sTAP: Bootstrapped training for tracking-any-point.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Boot- sTAP: Bootstrapped training for tracking-any-point

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.400872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfad57ee-6bd6-472b-ae31-9981021cec95 · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Structure and content-guided video synthesis with diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.300721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 928849ed-2443-4324-b6d6-5f28f4c08c8f · outbound

This paper cites Dynamic view synthesis from dynamic monocular video.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Dynamic view synthesis from dynamic monocular video

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.414746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ccf565f-9ae8-4d95-add2-e8b733dc1c02 · outbound

This paper cites Monocular dynamic view synthesis: A reality check.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Monocular dynamic view synthesis: A reality check

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.287759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2afa646b-a3ea-4b91-9459-5c2e080919a1 · outbound

This paper cites Fine-tuning image-conditional diffusion models is easier than you think.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Fine-tuning image-conditional diffusion models is easier than you think

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.422463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8a6621-8418-420f-a1b0-49b9bc55701c · outbound

This paper cites an unresolved cited work.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:11:42.270461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 279f04fe-7436-423f-8329-aaade32ad2cd · outbound

This paper cites Animatediff: Animate your personalized text-to- image diffusion models without specific tuning.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Animatediff: Animate your personalized text-to- image diffusion models without specific tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.429213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00373cc5-18cd-4247-9ad5-70d70fb811be · outbound

This paper cites Particle video revisited: Tracking through occlusions using point trajectories.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Particle video revisited: Tracking through occlusions using point trajectories

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.250302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 175c49f6-ae26-428d-89ff-af52bcbda1b5 · outbound

This paper cites Flexible diffusion modeling of long videos.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Flexible diffusion modeling of long videos

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.237653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84b83e41-c3da-4ceb-92cf-4f867214160c · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.441059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49df66be-46b6-45eb-bfe4-791227ab4740 · outbound

This paper cites Classifier-Free Diffusion Guidance.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Classifier-Free Diffusion Guidance

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.444880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8485d481-32b9-4d6d-97aa-0e4d7363f52d · outbound

This paper cites Denoising dif- fusion probabilistic models.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Denoising dif- fusion probabilistic models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.452030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c013ff-bc89-4bab-a21c-2d8245bc2019 · outbound

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

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Imagen Video: High Definition Video Generation with Diffusion Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.455196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01aeb105-50c7-41ac-9d40-213dd0c80c0f · outbound

This paper cites Video dif- fusion models.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Video dif- fusion models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.464748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5019e42-55b6-4550-a89a-19db6d55c9c7 · outbound

This paper cites Co- tracker: It is better to track together.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Co- tracker: It is better to track together

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.211897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ff1a551f-db56-45cd-98eb-6c82f88a6211 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Elucidating the design space of diffusion-based generative models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.481537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6644225c-f22f-4663-9244-0d1555bf9b0d · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.486075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ece126a-f2d2-40f9-ab54-924b341e1e36 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking 3d gaussian splatting for real-time radiance field rendering

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.490293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b7b81b7-0add-4cc3-989e-25c84455ff51 · outbound

This paper cites TAPVid-3D: A benchmark for tracking any point in 3D.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking TAPVid-3D: A benchmark for tracking any point in 3D

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.183014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 19e04748-e20c-467f-bd2e-d38dbe4ae9b4 · outbound

This paper cites Dense optical tracking: Connecting the dots.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Dense optical tracking: Connecting the dots

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.174111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 794e048d-5bf0-4316-bbb3-3798e54477aa · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.503959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359bd700-8796-456a-a400-5204ac0bdcdc · outbound

This paper cites Improved denoising diffusion probabilistic models.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Improved denoising diffusion probabilistic models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.519747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7062ee4-bf95-4330-96b0-35815f6a36c4 · outbound

This paper cites pix2gestalt: Amodal segmentation by synthesizing wholes.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking pix2gestalt: Amodal segmentation by synthesizing wholes

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.153448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f45f01c0-ba62-4352-abd6-3aac142a16f9 · outbound

This paper cites Scalable diffusion models with transformers.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Scalable diffusion models with transformers

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.527089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0e8023-90ad-4174-8c96-e9ec81910407 · outbound

This paper cites UniDepth: Universal monocular metric depth estimation.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking UniDepth: Universal monocular metric depth estimation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.137130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1411d4a-a680-4aa4-a2c2-fb27ee939697 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking DreamFusion: Text-to-3D using 2D Diffusion

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.533987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f529154-9bea-48e8-98ee-be935127745c · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.537111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07418574-947e-4f8b-b3a9-d721e9f249c2 · outbound

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

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking High-resolution image synthesis with latent diffusion models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.540270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58f70e33-90ee-4572-960c-c6778e8f34df · outbound

This paper cites Learning Temporally Consistent Video Depth from Video Diffusion Priors.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Learning Temporally Consistent Video Depth from Video Diffusion Priors

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.543906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1545d1-7996-4b07-938f-7eb1085a4a45 · outbound

This paper cites Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.109227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dd89a681-17e6-4141-ab50-670523bfe8cb · outbound

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

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Raft: Recurrent all-pairs field transforms for optical flow

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.096179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3a8bf5a1-5937-416d-b097-ec3e86338e62 · outbound

This paper cites Raft-3d: Scene flow using rigid- motion embeddings.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Raft-3d: Scene flow using rigid- motion embeddings

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.086821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 153890fe-b634-4051-b962-78d006d9b63b · outbound

This paper cites Revealing occlusions with 4d neural fields.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Revealing occlusions with 4d neural fields

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.069309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 834e6a61-3a0b-4dab-9c36-390e7ec2e17a · outbound

This paper cites Generative camera dolly: Ex- treme monocular dynamic novel view synthesis.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Generative camera dolly: Ex- treme monocular dynamic novel view synthesis

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.049232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 266901eb-a36c-44b3-a50d-dc3951fe92a5 · outbound

This paper cites Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.039394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ce2b292-cd7d-4f79-90d1-6181c70c5f38 · outbound

This paper cites Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.569412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cec25e8-f5ed-4ebb-a63b-980b405c8433 · outbound

This paper cites Tracking everything everywhere all at once.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Tracking everything everywhere all at once

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.029047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ce0ef4ff-e8a2-4e2b-b305-7358dfd5c7e3 · outbound

This paper cites Shape of motion: 4d reconstruc- tion from a single video.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Shape of motion: 4d reconstruc- tion from a single video

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.576056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb7d36d-c685-4d19-99a1-55e6f02f8def · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Motionctrl: A unified and flexible motion controller for video generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.579654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8acbfa7-6ba8-4303-8cfb-5d37b5ce385f · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking 4d gaussian splatting for real-time dynamic scene rendering

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:42.002680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dacc09c8-7ad7-4dbe-a09e-d3454698b441 · outbound

This paper cites Spatialtracker: Tracking any 2d pixels in 3d space.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Spatialtracker: Tracking any 2d pixels in 3d space

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:11:41.967076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50687d93-3ef8-402c-b74a-786c9607e442 · outbound

This paper cites Depth Anything V2.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Depth Anything V2

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.587901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825e83bb-1ddd-42ed-9e57-3c2d5b132f56 · outbound

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

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.590629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d1f76a9-ce01-4f5b-a8a8-24dc3a5f3b53 · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.593206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a32b36e-a230-4beb-ab68-20e25f86a6ae · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:41.595985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 34234d4e-dc0f-4f30-8bb2-6e4825a8fa9a · inbound

CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation cites this paper.

CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T00:02:56.732859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46e59359-72ce-48ad-979a-e0678dcede1c · inbound

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance cites this paper.

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:09.083677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb3a2dc-f5c6-4b1b-8e26-99e76102c154 · inbound

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model cites this paper.

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:00.816915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819be1a9-7ce7-44a3-b563-983ba787ce5c · inbound

Dynamic View Synthesis as an Inverse Problem cites this paper.

Dynamic View Synthesis as an Inverse Problem GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:14.808499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9fe4659-3835-4702-812d-2cb25c401489 · inbound

SpatialTrackerV2: 3D Point Tracking Made Easy cites this paper.

SpatialTrackerV2: 3D Point Tracking Made Easy GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:47.716661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb73e95-bf3e-4f48-a8f9-b3f92a0381e6 · inbound

PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention cites this paper.

PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T21:01:06.699695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac36ea8-15a7-41a3-b34f-14b5fe207906 · inbound

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation cites this paper.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T18:30:01.713076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf7bc88-0be4-46cd-9dc3-a75411e3eaa6 · inbound

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing cites this paper.

SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:00:50.473622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43f19e51-bdbf-4a51-884d-6fbab51271de · inbound

OmniCamera: A Unified Framework for Multi-task Video Generation with Arbitrary Camera Control cites this paper.

OmniCamera: A Unified Framework for Multi-task Video Generation with Arbitrary Camera Control GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:10:48.794280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a16bc054-ed40-489c-bc6a-383adaba7300 · inbound

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling cites this paper.

INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:25:53.558680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3d81bdf-9bd8-409f-91e7-4239faac563c · inbound

SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers cites this paper.

SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.190250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f5c90ce4-6040-4a8a-92ab-5089a7b0d498 · inbound

SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers cites this paper.

SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:57.064581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ec0ef94-1eea-4a65-bed6-826dbe26665f · inbound

MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing cites this paper.

MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T14:03:48.616611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.