Paper Citation Record · LEDGER

Seurat: From Moving Points to Depth

As of 17 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 3 inbound Pith citation observations for arXiv:2504.14687.

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

pith.paper-citation-record.v1
2504.14687 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:35.250082Z

measured 60 of 60 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:13:38.852878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:07.471767Z

Reference resolution

57 of 57 outbound references displayed

verified exact0
verified fuzzy29
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe045b72-54c6-4d88-821e-6f5f32dd74b9 · outbound

This paper cites Vivit: A video vision transformer.

Seurat: From Moving Points to Depth Vivit: A video vision transformer

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.127654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497389f1-7143-4b93-97a3-edabefcb0c83 · outbound

This paper cites Drivetrack: A benchmark for long-range point tracking in real-world videos, 2023.

Seurat: From Moving Points to Depth Drivetrack: A benchmark for long-range point tracking in real-world videos, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:37.164173Z

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 dcbd0600-1eac-408f-a3c3-c0efb91f176b · outbound

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

Seurat: From Moving Points to Depth ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.224226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76f1170e-f304-4f46-8eb5-994deeaf0cc5 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

Seurat: From Moving Points to Depth Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.229763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb40cb8-4410-48e4-821a-837c7169b463 · outbound

This paper cites Recovering non-rigid 3d shape from image streams.

Seurat: From Moving Points to Depth Recovering non-rigid 3d shape from image streams

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:37.125131Z

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 1f503561-c7f4-4e5f-a851-745b1e1ec4c7 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

Seurat: From Moving Points to Depth Efficient geometry-aware 3d generative adversarial networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.239122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c711ea-e853-41a5-8585-4871d0c7a50a · outbound

This paper cites Pyramid stereo matching network.

Seurat: From Moving Points to Depth Pyramid stereo matching network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.244348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc1560a9-0cc3-460a-be54-361a370e3a52 · outbound

This paper cites Flowtrack: Revisiting optical flow for long- range dense tracking.

Seurat: From Moving Points to Depth Flowtrack: Revisiting optical flow for long- range dense tracking

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:37.016169Z

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 21024f64-7c7a-41b3-bb9f-fe8b042713aa · outbound

This paper cites Local All-Pair Correspondence for Point Tracking.

Seurat: From Moving Points to Depth Local All-Pair Correspondence for Point Tracking

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.254399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074cf92a-292b-4f4f-9bfc-560e581d6e36 · outbound

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

Seurat: From Moving Points to Depth Tap-vid: A benchmark for track- ing any point in a video

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.987244Z

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 c709eb33-cb09-4b18-8662-ee449882a2c5 · outbound

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

Seurat: From Moving Points to Depth Tapir: Tracking any point with per-frame initialization and temporal refinement

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.974446Z

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 1a964d5c-3b98-47fb-b89f-daea57a4b231 · outbound

This paper cites Towards real-time monocular depth estimation for robotics: A survey.

Seurat: From Moving Points to Depth Towards real-time monocular depth estimation for robotics: A survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.960809Z

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 8f4b064a-e459-4460-a2c5-2c37d07f78db · outbound

This paper cites Adaptive colour classifi- cation for structured light systems.

Seurat: From Moving Points to Depth Adaptive colour classifi- cation for structured light systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.947751Z

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 cdae0a1d-fd24-4459-a45a-43689df91775 · outbound

This paper cites Fast and high resolution 3d face scanning.

Seurat: From Moving Points to Depth Fast and high resolution 3d face scanning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.934715Z

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 933ae531-df90-4479-861b-2a09c85378c9 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Seurat: From Moving Points to Depth Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.582265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 234b25e5-0636-4d9d-aa34-34b158dfd74a · outbound

This paper cites Vision meets robotics: The kitti dataset.

Seurat: From Moving Points to Depth Vision meets robotics: The kitti dataset

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.906116Z

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 5705f015-2617-4be6-810d-853c079ae872 · outbound

This paper cites Unsupervised monocular depth estimation with left- right consistency.

Seurat: From Moving Points to Depth Unsupervised monocular depth estimation with left- right consistency

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.590522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ffc0f8-66aa-4571-8859-8fd2148083cc · outbound

This paper cites Kubric: A scalable dataset generator.

Seurat: From Moving Points to Depth Kubric: A scalable dataset generator

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.751271Z

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 973dd44f-e73d-47ae-9318-f43e065981e7 · outbound

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

Seurat: From Moving Points to Depth Particle video revisited: Tracking through occlusions using point trajectories

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.661231Z

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 611bcd40-802c-4716-925d-03b7e0e82981 · outbound

This paper cites Multiple view geometry in computer vision.

Seurat: From Moving Points to Depth Multiple view geometry in computer vision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.646919Z

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 3e03d8cb-fc4c-4c6c-b55c-8a54c9a37685 · outbound

This paper cites DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos.

Seurat: From Moving Points to Depth DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.607071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29132f9-da3a-4c33-bbe8-3695fa352a76 · outbound

This paper cites Panoptic studio: A massively multiview system for social motion capture.

Seurat: From Moving Points to Depth Panoptic studio: A massively multiview system for social motion capture

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.611168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8159f68-72fe-4639-9666-1f40769e3e36 · outbound

This paper cites CoTracker: It is Better to Track Together.

Seurat: From Moving Points to Depth CoTracker: It is Better to Track Together

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.620584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00afc1a9-0c99-48b2-8bf8-7adba6d0f217 · outbound

This paper cites Fast Encoder-Based 3D from Casual Videos via Point Track Processing.

Seurat: From Moving Points to Depth Fast Encoder-Based 3D from Casual Videos via Point Track Processing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.624612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e3f09cb-4f43-41a2-900e-513e9de4165d · outbound

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

Seurat: From Moving Points to Depth Exploring Temporally-Aware Features for Point Tracking

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.629118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e33b80-52c8-41e8-8e79-9120f39f7f5e · outbound

This paper cites TAPVid-3D: A Benchmark for Tracking Any Point in 3D.

Seurat: From Moving Points to Depth TAPVid-3D: A Benchmark for Tracking Any Point in 3D

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.675780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0778c6b9-3785-470a-bc4d-6e20c2bd34bf · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

Seurat: From Moving Points to Depth Grounding Image Matching in 3D with MASt3R

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.779852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4499cf2-4acf-45d3-89fc-1e12907c79ad · outbound

This paper cites TAPTRv2: Attention-based Position Update Improves Tracking Any Point.

Seurat: From Moving Points to Depth TAPTRv2: Attention-based Position Update Improves Tracking Any Point

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.885574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df3f3a9-1e3e-4e08-9e4f-8ca94bc428b8 · outbound

This paper cites Taptr: Tracking any point with transformers as detection.

Seurat: From Moving Points to Depth Taptr: Tracking any point with transformers as detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.523810Z

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 61d7d5de-537d-41e2-92cf-f65889273976 · outbound

This paper cites Megadepth: Learning single- view depth prediction from internet photos.

Seurat: From Moving Points to Depth Megadepth: Learning single- view depth prediction from internet photos

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.509358Z

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 8e4f39d6-bae2-4a51-a027-cf1870b4321c · outbound

This paper cites Dynibar: Neural dynamic image-based rendering.

Seurat: From Moving Points to Depth Dynibar: Neural dynamic image-based rendering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.495455Z

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 ea08795d-a333-4aed-9359-98a0d5ab1411 · outbound

This paper cites Dual-frequency pattern scheme for high-speed 3-d shape measurement.

Seurat: From Moving Points to Depth Dual-frequency pattern scheme for high-speed 3-d shape measurement

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.480772Z

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 02371e8d-b143-41f2-8ab1-f6282b35778a · outbound

This paper cites Decoupled Weight Decay Regularization.

Seurat: From Moving Points to Depth Decoupled Weight Decay Regularization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.907514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8c83dc-620f-45eb-82f7-3d62044d2f34 · outbound

This paper cites Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis, 2023.

Seurat: From Moving Points to Depth Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.465792Z

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 cbe29afe-9364-4267-96e1-936ef4497243 · outbound

This paper cites Consistent video depth estimation.ACM Transactions on Graphics (ToG), 39(4):71–1, 2020.

Seurat: From Moving Points to Depth Consistent video depth estimation.ACM Transactions on Graphics (ToG), 39(4):71–1, 2020

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.915746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49b26cc-f639-4dc3-83c3-6deafe61f270 · outbound

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

Seurat: From Moving Points to Depth DINOv2: Learning Robust Visual Features without Supervision

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.920036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80875ff9-7057-4a94-8708-3e9308edfb2f · outbound

This paper cites Aria digital twin: A new benchmark dataset for egocentric 3d machine perception.

Seurat: From Moving Points to Depth Aria digital twin: A new benchmark dataset for egocentric 3d machine perception

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.441689Z

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 31183ad4-2a7e-4cb1-880f-fbc330f9dafc · outbound

This paper cites Unidepth: Universal monocular metric depth estimation, 2024.

Seurat: From Moving Points to Depth Unidepth: Universal monocular metric depth estimation, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.348768Z

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 b0ece425-d3ef-43aa-9230-53d634ea7ca3 · outbound

This paper cites Detailed real- time urban 3d reconstruction from video.International Jour- nal of Computer Vision, 78:143–167, 2008.

Seurat: From Moving Points to Depth Detailed real- time urban 3d reconstruction from video.International Jour- nal of Computer Vision, 78:143–167, 2008

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.286540Z

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 4ec77c83-081e-41a6-8ff2-14b18e2fca63 · outbound

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

Seurat: From Moving Points to Depth The 2017 DAVIS Challenge on Video Object Segmentation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:34.937261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae5d821-dafd-414b-bf23-bb75b8f9510a · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

Seurat: From Moving Points to Depth Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.272505Z

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 8c71f708-e49f-45e6-941f-0c3ee474a737 · outbound

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

Seurat: From Moving Points to Depth High-resolution image synthesis with latent diffusion models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:35.141257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba30359-c399-478a-9869-0220c5f4e7d2 · outbound

This paper cites Structure- from-motion revisited.

Seurat: From Moving Points to Depth Structure- from-motion revisited

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:35.190556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af0f1580-c2c8-4d09-82aa-d73e7ef778af · outbound

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

Seurat: From Moving Points to Depth Learning Temporally Consistent Video Depth from Video Diffusion Priors

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:35.195224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ea40b6-f372-4847-85d5-4dfcb3648678 · outbound

This paper cites Track everything everywhere fast and ro- bustly.

Seurat: From Moving Points to Depth Track everything everywhere fast and ro- bustly

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.240303Z

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 690a8980-263e-4da0-90f1-9520479886da · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Seurat: From Moving Points to Depth Scalability in perception for autonomous driving: Waymo open dataset

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.128116Z

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 cdb603c8-4251-43d6-bc7d-0c4aad7cdee5 · outbound

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

Seurat: From Moving Points to Depth Raft: Recurrent all-pairs field transforms for optical flow

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:35.210779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee75f76-11c2-47e7-94ed-e68566927c8a · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras.

Seurat: From Moving Points to Depth Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:36.004641Z

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 efb8f0e6-fc40-443d-8993-67a760537a2f · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.

Seurat: From Moving Points to Depth Mlp-mixer: An all-mlp architecture for vision

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:35.218404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d286ec7-41ee-4375-af83-d7021240ee15 · outbound

This paper cites Dino-tracker: Taming dino for self-supervised point track- ing in a single video.

Seurat: From Moving Points to Depth Dino-tracker: Taming dino for self-supervised point track- ing in a single video

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:35.981752Z

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 6f38e8bc-b71f-43fd-a4f0-c516f086e7b7 · outbound

This paper cites Attention is all you need.

Seurat: From Moving Points to Depth Attention is all you need

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:35.966757Z

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 60d45222-fede-4e2d-a7c1-fd03ecec707b · outbound

This paper cites Tracking Everything Everywhere All at Once.

Seurat: From Moving Points to Depth Tracking Everything Everywhere All at Once

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:35.231075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c30820-3b86-452a-b963-5f4d19a3c245 · outbound

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

Seurat: From Moving Points to Depth Spatialtracker: Tracking any 2d pixels in 3d space

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:35.712003Z

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 3237960d-55f9-4971-9e63-b0a3ea280996 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Seurat: From Moving Points to Depth Depth anything: Unleashing the power of large-scale unlabeled data

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:35.560982Z

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 0f11bc5c-e1ec-4b54-8a5a-553202624035 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Seurat: From Moving Points to Depth Adding conditional control to text-to-image diffusion models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:35.245513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 837cd08d-5226-4c00-81d4-45d0dae28c8e · outbound

This paper cites Pointodyssey: A large-scale synthetic dataset for long-term point tracking.

Seurat: From Moving Points to Depth Pointodyssey: A large-scale synthetic dataset for long-term point tracking

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:48:35.496845Z

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 9eb4bd72-81cd-4160-bcf8-33300746b8a5 · outbound

This paper cites an unresolved cited work.

Seurat: From Moving Points to Depth Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:48:37.001875Z

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.

Pith citing papers

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

Emergent Temporal Correspondences from Video Diffusion Transformers cites this paper.

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

Unavailable: canonical work link unavailable.

Observation c8a8645d-b7f9-4b25-8bdc-bd1bcd1cdf2a · inbound

GenMatter: Perceiving Physical Objects with Generative Matter Models cites this paper.

GenMatter: Perceiving Physical Objects with Generative Matter Models Seurat: From Moving Points to Depth

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:18.103628Z

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 afcc7116-94a9-4c25-a09f-a754d209669a · inbound

GenMatter: Perceiving Physical Objects with Generative Matter Models cites this paper.

GenMatter: Perceiving Physical Objects with Generative Matter Models Seurat: From Moving Points to Depth

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:07.474604Z

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.