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Paper Citation Record · LEDGER

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2606.26087.

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

pith.paper-citation-record.v1
2606.26087 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T19:36:21.514445Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

  • verified exact14
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c5393e6-7b9f-48c7-836a-99d2251c8fde · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Cosmos World Foundation Model Platform for Physical AI

Reference 1

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local_arxiv, observed 2026-07-04T20:50:11.201707Z

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:b4be24126a3e373365137ad50bb0dc53b8513b8262b1d80f19c1812b1dce2794

Observation 4375c282-6dbd-4017-b675-3bee419ede9a · outbound

This paper cites Met3r: Measuring multi-view consistency in generated images.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Met3r: Measuring multi-view consistency in generated images

Reference 2

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:0eac73a632acf8a253538b8882137cd819696f7ada28bce3077d04a0bed585b5

Observation 7e7d1dde-2099-40e0-ba8c-28fc71d3e080 · outbound

This paper cites Recammaster: Camera-controlled generative rendering from a single video.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Recammaster: Camera-controlled generative rendering from a single video

Reference 3

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:91a138e8baabf326b2d5e78bc0af326787728c6d06a932b8baa3bb799cdb99d2

Observation f8580c1d-c135-4cf5-9ae6-3a3d1b0e95d3 · outbound

This paper cites Syncammaster: Synchronizing multi-camera video generation from diverse viewpoints.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Syncammaster: Synchronizing multi-camera video generation from diverse viewpoints

Reference 4

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:cc92ce15f165b56dbafabce269f98b17919607974cbe1ee6fe3f5c9babdeb938

Observation 6aa8f129-0b26-4a52-87f4-cccea54346f6 · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Lumiere: A space-time diffusion model for video generation

Reference 5

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:18cba006b564bc80fab6cecbb1969469e5c79653bccbf44dffd3203c83570d69

Observation b7ed8440-c6cc-496c-9c8e-0c5d9e283b70 · outbound

This paper cites Gs-dit: Advancing video generation with dynamic 3d gaussian fields through efficient dense 3d point tracking.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Gs-dit: Advancing video generation with dynamic 3d gaussian fields through efficient dense 3d point tracking

Reference 6

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:d2ef2d71b198fe8da4951266560a6999ed4718822aacebfead3820f70c02674c

Observation e661be42-d8d6-4c4c-93a7-c28408f51238 · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

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local_arxiv, observed 2026-07-04T20:50:11.210892Z

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:6f727673cd6aa98427bd3a3eca767d47c861a020a31e6c98e10d04cb01d0bad6

Observation cb45df44-70c0-42cf-9c16-35f80a3c6546 · outbound

This paper cites Uni3c: Unifying precisely 3d-enhanced camera and human motion controls for video generation.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Uni3c: Unifying precisely 3d-enhanced camera and human motion controls for video generation

Reference 8

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:7e7632dd814d50fbda258ba273cffcaf1bbf22f922b3dff1db7bc3bdda177bc9

Observation ee54e652-682d-40b6-a33a-974b7a470c50 · outbound

This paper cites Reconstruct, inpaint, test-time finetune: Dynamic novel-view synthesis from monocular videos.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Reconstruct, inpaint, test-time finetune: Dynamic novel-view synthesis from monocular videos

Reference 9

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arxiv_id, observed 2026-07-04T20:50:11.198933Z

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:7481907980c3818497b2be83bdb305aa5731e97f20ba0007e6fbfb3416ea4666

Observation 2c79a029-c315-43c2-8609-1506297fdf73 · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention

Reference 10

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local_arxiv, observed 2026-07-04T20:50:11.188941Z

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:de387279ef161ee9497da081082ba144bb9024f7200fabf5377f36551daad75a

Observation fd46e00a-509a-4498-81e0-97489b67b5ee · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Local all-pair correspondence for point tracking

Reference 11

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:9908c1a7acc5ba5d1a95c163cd434e6c97d7c68e3e90074b89aa0edfa2008c05

Observation 84711f3d-0e99-4c4b-aa3d-b2d2c9640fa1 · outbound

This paper cites Tap-vid: A benchmark for tracking any point in a video.Advances in Neural Information Processing Systems, 35:13610–13626, 2022.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Tap-vid: A benchmark for tracking any point in a video.Advances in Neural Information Processing Systems, 35:13610–13626, 2022

Reference 12

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:c5f86ccd67e12300295cc021a492da367f51d10c23dcb839936ca7cac47fd87d

Observation 0f15d73d-9d18-4fc2-9976-c3fe26f70990 · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Tapir: Tracking any point with per-frame initialization and temporal refinement

Reference 13

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:f80d448f9fef7652160a389b05a229f11f45c7ccbfbd1bc3f2c8bf245ab502fb

Observation 5629bf62-48f2-42c3-a0e1-2d039ab25ab4 · outbound

This paper cites Omniview: An all- seeing diffusion model for 3d and 4d view synthesis.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Omniview: An all- seeing diffusion model for 3d and 4d view synthesis

Reference 14

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arxiv_id, observed 2026-07-04T20:50:11.182478Z

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:f10757bb9877bd55ec3845379a44151c2618f3197b68cfdfb39204f2518afad9

Observation bfaea402-2dd8-426f-a79b-a213302d802f · outbound

This paper cites Monocular dynamic view synthesis: A reality check.Advances in Neural Information Processing Systems, 35:33768–33780, 2022.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Monocular dynamic view synthesis: A reality check.Advances in Neural Information Processing Systems, 35:33768–33780, 2022

Reference 15

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:2c323b9ca563ac44f6c0993e772d6c9c401554a960781d6b14ce5cc6103f4593

Observation 9fc1c29a-8c13-4aa0-bb5d-0588c16ff62a · outbound

This paper cites Kubric: A scalable dataset generator.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Kubric: A scalable dataset generator

Reference 16

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:c3377ad2d937a6f2d7cf85f26817228fbf72a4898281e62b66f3441625a32be7

Observation 4e16fde4-14dc-494b-b3f3-0152c687c93e · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Particle video revisited: Tracking through occlusions using point trajectories

Reference 17

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:8d3599f0a169c96dc0427ee9008ab2623128845669f7127502b478e5d7ea4540

Observation 8c7fa96d-e5af-4c44-a33e-603b1255960c · outbound

This paper cites Vivid4d: Improving 4d reconstruction from monocular video by video inpainting, 2025.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Vivid4d: Improving 4d reconstruction from monocular video by video inpainting, 2025

Reference 18

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:959dcc8e6d3015b5984feddf2372c6a723363e85703d2548a03a6c07ace9f2d0

Observation ee349a8f-f295-4cab-a2ec-496ff49007a4 · outbound

This paper cites arXiv preprint arXiv:2512.25075 (2025).

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation arXiv preprint arXiv:2512.25075 (2025)

Reference 19

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:fc1ff7358424da89d4594aad778edd763cb5d838bdbdb24a9858374f1d13dce4

Observation a59916a2-f929-44e2-b2b3-564d3d9ce174 · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Vbench: Comprehensive benchmark suite for video generative models

Reference 20

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:442f466b5a6d4f33dfc6977e6e8e70fdb09ba649045a4b2eb9f04c6f3356cf47

Observation 3685d739-dc71-4962-ad00-11e2fca654cd · outbound

This paper cites Robust estimation of a location parameter.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Robust estimation of a location parameter

Reference 21

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:47ded450cc9fb2141f1bfc9c3b70a91180de73c14e335230abb2ef5f82f72efb

Observation 48251277-32a0-4955-bcbe-a8da1dde3569 · outbound

This paper cites Reangle-a-video: 4d video generation as video-to- video translation.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Reangle-a-video: 4d video generation as video-to- video translation

Reference 22

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:29fefb69fbdc610a0444ff8d22b52500cff381e811fe897a310cdd0e75a2892b

Observation d6a6ef55-afae-4986-a6fb-68c381cbccc5 · outbound

This paper cites Egox: Egocentric video generation from a single exocentric video.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Egox: Egocentric video generation from a single exocentric video

Reference 23

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:b44c0f524d1efdf778b9c72a2e8dd2b28e1d463c3eaaf8a2895e49d8f26b4ae3

Observation b329b824-ea0e-426c-9aed-efba97106515 · outbound

This paper cites Cotracker3: Simpler and better point tracking by pseudo-labelling real videos.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Cotracker3: Simpler and better point tracking by pseudo-labelling real videos

Reference 24

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:e1163ef52f95f7120185e1413b3186f3d289a5b5857f42efe362556c45264b0f

Observation 24b01e5c-9573-49c6-ae1d-2a1e802e95e4 · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Cotracker: It is better to track together

Reference 25

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:1f59989b4bf6afad37b2db7f7348e87fc0e1b5d29c158251668c8f937178570b

Observation 94a50c4e-9f92-4e9e-9c52-cf335af83b68 · outbound

This paper cites Infinite-homography as robust conditioning for camera-controlled video generation.arXiv preprint arXiv:2512.17040, 2025.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Infinite-homography as robust conditioning for camera-controlled video generation.arXiv preprint arXiv:2512.17040, 2025

Reference 26

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arxiv_id, observed 2026-07-04T20:50:11.221323Z

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:f916bc9a635a8bbef3e1348a251dc4cda908a283e0609af657e92116c74eb193

Observation 7094f940-6cb2-48a8-92cc-584d6be20fc2 · outbound

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

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 27

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:938a0ae081d9024e6ed056532d01b7be160d3f4b3ea17d6e5d0d5aa6a21636aa

Observation f6befae9-0930-4e57-a816-7f9f37215577 · outbound

This paper cites Mv-tap: Tracking any point in multi-view videos.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Mv-tap: Tracking any point in multi-view videos

Reference 28

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:5fbdd2dfa909cda45bb60861921895bd4291e21fec640f42c4fc41e5f7c222e6

Observation 03544541-ca95-4713-8532-f45c92dbf7cf · outbound

This paper cites 3d scene prompting for scene-consistent camera-controllable video generation.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation 3d scene prompting for scene-consistent camera-controllable video generation

Reference 29

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:0317d02d3f07cfe07731ee7d6b3c3f9724fac1657bcdf6c87f26a5f39e23b609

Observation 606a7e46-68ba-465c-9f6b-09600ddd7803 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Depth Anything 3: Recovering the Visual Space from Any Views

Reference 30

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:53592df198829b3a052c2b94f7248c67443744e33ec039ad14aade9bff109cf7

Observation 0771d7c6-2134-443f-a5d5-30e81c1f5e56 · outbound

This paper cites an unresolved cited work.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Unresolved cited work

Reference 31

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:e8023573aeda1f94054d17827bc51b356cc3f0138ad459b98f523983e02fa45a

Observation 1e6c33d6-699f-4d64-9985-d1c3016d9442 · outbound

This paper cites Emergent temporal correspondences from video diffusion transformers, 2025.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Emergent temporal correspondences from video diffusion transformers, 2025

Reference 32

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:ab1c1dbfda82cadbf255317c3d9a74c0944266515862188b94657e78c10ebdf2

Observation eb4e9876-6716-42e7-9216-e541df8edd3a · outbound

This paper cites Redirector: Creating any-length video retakes with rotary camera encoding.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Redirector: Creating any-length video retakes with rotary camera encoding

Reference 33

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:26e5702432489be135f1968701feda44f4aa401c5227c16ec7cc0df9fa7f03b9

Observation 642bfbb8-ac49-4865-b2bb-d17a442cdb09 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation A benchmark dataset and evaluation methodology for video object segmentation

Reference 34

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:dd8be20daf9f986b4cf1460f08d021c0c06258593fbdc7fdd571661d13ff8200

Observation ba378338-1771-49bb-962f-e012655ae8d3 · outbound

This paper cites Multi-view 3d point tracking.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Multi-view 3d point tracking

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:cf525e0a1e0f6d686d058dcbd7c5dc507a7087e227d65bc7bbc089c7c3608536

Observation b69a655c-444d-4d7d-a9c0-76ff9ff5ab97 · outbound

This paper cites Gen3c: 3d-informed world-consistent video generation with precise camera control.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Gen3c: 3d-informed world-consistent video generation with precise camera control

Reference 36

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no resolver link, observed 2026-06-25T19:36:21.514445Z

Source-reported events for the cited work

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:ea87a5bf2f5a614b73f45bb093c4d3c05a5ffc44846480632fb96805bfa49af6

Observation f1a60e98-debc-42d3-ac60-c05eab44fbaa · outbound

This paper cites Light field networks: Neural scene representations with single-evaluation rendering.Advances in Neural Information Processing Systems, 34:19313–19325, 2021.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Light field networks: Neural scene representations with single-evaluation rendering.Advances in Neural Information Processing Systems, 34:19313–19325, 2021

Reference 37

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no resolver link, observed 2026-06-25T19:36:21.514445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:2c02c00a4c49b05ca606578a6574c3d33599e34f2a178be0db52470b8a6b413a

Observation 1b713e39-508c-406b-8f30-6c82a3e6a6f0 · outbound

This paper cites arXiv preprint arXiv:2601.16982 (2026).

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation arXiv preprint arXiv:2601.16982 (2026)

Reference 38

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verified exact
arxiv_id, observed 2026-07-04T20:50:11.207708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:506d7222f63997c355df9cbe28b82b0645354df0e1192c5e8ef05b866b5b56f6

Observation 93f54a42-21d9-4b93-ac6f-ef02842f314a · outbound

This paper cites Generative camera dolly: Extreme monocular dynamic novel view synthesis.European Conference on Computer Vision (ECCV), 2024.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Generative camera dolly: Extreme monocular dynamic novel view synthesis.European Conference on Computer Vision (ECCV), 2024

Reference 39

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no resolver link, observed 2026-06-25T19:36:21.514445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:dcc203067a099c20d0d71cf029cf5b1c741b4f594c337e4aacd121d4d53ad10d

Observation 019c3bc0-a54b-4a79-a7d6-82c1cf9fd35a · outbound

This paper cites Wan: Open and advanced large-scale video generative models, 2025.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Wan: Open and advanced large-scale video generative models, 2025

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:e3fab9f2f25b2ffa4f7cf8bd7a419f66be3e2f29e243cf27e73933ea11a140dc

Observation 06423e7c-25ca-493f-8da3-f6c3f190adae · outbound

This paper cites arXiv preprint arXiv:2512.01481 (2025).

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation arXiv preprint arXiv:2512.01481 (2025)

Reference 41

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verified exact
arxiv_id, observed 2026-07-04T20:50:11.185724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:ec18b9b893421e81acbf9697f6bc2f4cc658654604f7a9a79a6fb5c165fdd773

Observation eabbfd68-2af5-4cbc-80cb-d728db879ffe · outbound

This paper cites Cat4d: Create anything in 4d with multi-view video diffusion models.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Cat4d: Create anything in 4d with multi-view video diffusion models

Reference 42

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no resolver link, observed 2026-06-25T19:36:21.514445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:bab836334d589f19c41c30e041421a4835c141d8013b441c82567d162b3b5e4e

Observation a83bd9bb-5607-4e97-b8f1-66cbba43da95 · outbound

This paper cites NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos, January 2026.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos, January 2026

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:50:11.213906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:8c7ce6f6260d0b22f843b0ee7d2f395cb30e3e6e176d7b6a634f50c132508300

Observation f3bf68ca-0abe-4cca-86b4-6cfcb55313d8 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 44

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unresolved
no resolver link, observed 2026-06-25T19:36:21.514445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:e2630fd469fd9117b9f27520308312dd37a34b867c8fe8969f01829430c14ee5

Observation dab4dbe8-571a-4d6a-aa1b-731112b4de47 · outbound

This paper cites Trajectorycrafter: Redirecting camera trajectory for monocular videos via diffusion models.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Trajectorycrafter: Redirecting camera trajectory for monocular videos via diffusion models

Reference 45

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no resolver link, observed 2026-06-25T19:36:21.514445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:07c28623d5e1fa0c06b362583f99b0d705f788efaf3d06ac8592d75c6bb222da

Observation 60d3fb24-9e59-43bc-99d0-0a25631c9211 · outbound

This paper cites Spatia: Video generation with updatable spatial memory.

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Spatia: Video generation with updatable spatial memory

Reference 46

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unresolved
no resolver link, observed 2026-06-25T19:36:21.514445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-25T19:36:21.514445Z digest=sha256:6a012fe4a63a6624c45425f6b8ddc7db9e71e9f4f999a1201a9ffeea010b845d

Pith citing papers

No inbound Pith citation observations are available.