Paper Citation Record · LEDGER

Robust Multimodal Dynamic Object Segmentation

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.18153.

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

pith.paper-citation-record.v1
2607.18153 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:53:46.081404Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

31 of 31 outbound references displayed

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unresolved31
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External citation measurements

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Outbound references

Observation c9070c69-7db0-482e-9984-c886d426b6a1 · outbound

This paper cites Motion segmentation and appearance change detection based 2d hand tracking,.

Robust Multimodal Dynamic Object Segmentation Motion segmentation and appearance change detection based 2d hand tracking,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.151987Z

Source-reported events for the cited work

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Observation 2baafe95-d76b-4508-b65a-bce610f1c3c2 · outbound

This paper cites Moving object segmentation using optical flow and depth information,.

Robust Multimodal Dynamic Object Segmentation Moving object segmentation using optical flow and depth information,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.212595Z

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Observation f407f449-10a4-427a-9570-4a0756e389b7 · outbound

This paper cites Motion and depth augmented semantic segmentation for autonomous navigation,.

Robust Multimodal Dynamic Object Segmentation Motion and depth augmented semantic segmentation for autonomous navigation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.289235Z

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Observation 933684a2-6321-4da0-b313-7aa6e31d0d30 · outbound

This paper cites Dymslam: 4d dynamic scene reconstruction based on geometrical motion segmentation,.

Robust Multimodal Dynamic Object Segmentation Dymslam: 4d dynamic scene reconstruction based on geometrical motion segmentation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.418724Z

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Observation 5f4e7f47-771e-4723-a816-b210411b6c46 · outbound

This paper cites Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild,.

Robust Multimodal Dynamic Object Segmentation Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.497469Z

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Observation e2c27c02-615c-480a-a673-68087ea5d927 · outbound

This paper cites Leap-vo: Long-term effective any point tracking for visual odometry,.

Robust Multimodal Dynamic Object Segmentation Leap-vo: Long-term effective any point tracking for visual odometry,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.699050Z

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Observation 6ee45166-b7ea-4f98-ac32-00091ffd20ca · outbound

This paper cites Self- supervised video object segmentation by motion grouping,.

Robust Multimodal Dynamic Object Segmentation Self- supervised video object segmentation by motion grouping,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.774014Z

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Observation bb803988-f3b3-4b40-975c-42fd1f9fc973 · outbound

This paper cites Matnet: Motion- attentive transition network for zero-shot video object segmentation,.

Robust Multimodal Dynamic Object Segmentation Matnet: Motion- attentive transition network for zero-shot video object segmentation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.848351Z

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Observation 0e8ffaa3-91ea-4981-aea1-9542aff6b0a1 · outbound

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

Robust Multimodal Dynamic Object Segmentation MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.900805Z

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Observation 3a223054-4d0a-4b29-9eef-5a3992c9281f · outbound

This paper cites Easi3r: Estimating disentangled motion from dust3r without training,.

Robust Multimodal Dynamic Object Segmentation Easi3r: Estimating disentangled motion from dust3r without training,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:43.975363Z

Source-reported events for the cited work

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Observation 1d95f863-0cd8-4daa-9314-5134cb0b6ba7 · outbound

This paper cites DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction.

Robust Multimodal Dynamic Object Segmentation DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.073910Z

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Observation 6597860f-4443-44d2-967d-d7bac343e413 · outbound

This paper cites Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,.

Robust Multimodal Dynamic Object Segmentation Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.209244Z

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Observation 3c4ec5c4-0253-4e43-9616-8ccf9593929b · outbound

This paper cites Dynamic-slam: Semantic monocular visual localization and mapping based on deep learning in dynamic environment,.

Robust Multimodal Dynamic Object Segmentation Dynamic-slam: Semantic monocular visual localization and mapping based on deep learning in dynamic environment,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.286519Z

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Observation 10afc97a-5272-4d14-a228-bc62bdc37a9d · outbound

This paper cites Robust 3d gaussian splatting for novel view synthesis in presence of distractors,.

Robust Multimodal Dynamic Object Segmentation Robust 3d gaussian splatting for novel view synthesis in presence of distractors,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.354959Z

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Unavailable: canonical work link unavailable.

Observation 456be2e8-fa8a-40e5-888b-451c75a12db5 · outbound

This paper cites Bootstrapping objectness from videos by relaxed common fate and visual grouping,.

Robust Multimodal Dynamic Object Segmentation Bootstrapping objectness from videos by relaxed common fate and visual grouping,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.434346Z

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Observation 7b400d0e-6237-4548-aab7-0a6c920a95f4 · outbound

This paper cites Segmenting moving objects via an object-centric layered representation,.

Robust Multimodal Dynamic Object Segmentation Segmenting moving objects via an object-centric layered representation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.544399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 468a18b9-d951-481a-b886-c71330bc2124 · outbound

This paper cites Learning segmentation from point trajectories,.

Robust Multimodal Dynamic Object Segmentation Learning segmentation from point trajectories,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.636465Z

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Unavailable: canonical work link unavailable.

Observation 632623c8-39d7-4af8-bab5-a2e3caf709f2 · outbound

This paper cites Object segmentation by long term analysis of point trajectories,.

Robust Multimodal Dynamic Object Segmentation Object segmentation by long term analysis of point trajectories,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.751946Z

Source-reported events for the cited work

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Observation 40ddf27a-8ff5-4bcd-89e0-3aba2b36e9db · outbound

This paper cites Structure and motion from casual videos,.

Robust Multimodal Dynamic Object Segmentation Structure and motion from casual videos,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.824385Z

Source-reported events for the cited work

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Observation a07a3781-e620-4dac-b2ee-659aba00899f · outbound

This paper cites RoMo: Robust Motion Segmentation Improves Structure from Motion.

Robust Multimodal Dynamic Object Segmentation RoMo: Robust Motion Segmentation Improves Structure from Motion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.925332Z

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Observation 3f69d61e-889c-488d-acad-347cf4afc955 · outbound

This paper cites Fitting conic sections to “very scattered.

Robust Multimodal Dynamic Object Segmentation Fitting conic sections to “very scattered

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.995097Z

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Observation add22ee1-3f17-4a4e-a12a-b9bfa19e47b8 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Robust Multimodal Dynamic Object Segmentation SAM 2: Segment Anything in Images and Videos

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.076224Z

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Observation cb11dd43-d0e2-4e3e-9786-f2df4a68fa2a · outbound

This paper cites Dust3r: Geometric 3d vision made easy,.

Robust Multimodal Dynamic Object Segmentation Dust3r: Geometric 3d vision made easy,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.174931Z

Source-reported events for the cited work

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Observation da4475ac-79a0-4894-ba4c-911fee86d77e · outbound

This paper cites Sea-raft: Simple, efficient, accurate raft for optical flow,.

Robust Multimodal Dynamic Object Segmentation Sea-raft: Simple, efficient, accurate raft for optical flow,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.224851Z

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Observation 2210fd4e-3b3e-4fa3-8c2c-6f38b31a5906 · outbound

This paper cites Vision transformers for dense prediction,.

Robust Multimodal Dynamic Object Segmentation Vision transformers for dense prediction,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.313300Z

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Observation 06ad3cc8-e60e-4937-b43e-d0277dd90342 · outbound

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

Robust Multimodal Dynamic Object Segmentation CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.380107Z

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Observation f10e1b15-5862-43d6-a492-4450b78d6d12 · outbound

This paper cites Spars3r: Semantic prior align- ment and regularization for sparse 3d reconstruction,.

Robust Multimodal Dynamic Object Segmentation Spars3r: Semantic prior align- ment and regularization for sparse 3d reconstruction,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.497719Z

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Observation 963b234e-2c77-4841-ad12-ec88eb38828e · outbound

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

Robust Multimodal Dynamic Object Segmentation Pointodyssey: A large-scale synthetic dataset for long-term point tracking,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.640880Z

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Observation deccfd18-e35e-4206-8d93-20714c5ad31f · outbound

This paper cites A benchmark dataset and evaluation method- ology for video object segmentation,.

Robust Multimodal Dynamic Object Segmentation A benchmark dataset and evaluation method- ology for video object segmentation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.777834Z

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Observation 2fe137f3-f40d-4d76-aeba-0efd4acfddb9 · outbound

This paper cites A naturalistic open source movie for optical flow evaluation,.

Robust Multimodal Dynamic Object Segmentation A naturalistic open source movie for optical flow evaluation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:45.940486Z

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Observation d5625df4-b96c-45c3-892e-91facccb4fdd · outbound

This paper cites Learning two-view correspondences and geometry using order-aware network,.

Robust Multimodal Dynamic Object Segmentation Learning two-view correspondences and geometry using order-aware network,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:46.081404Z

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Pith citing papers

No inbound Pith citation observations are available.