Paper Citation Record · LEDGER

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians

As of 21 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2506.22718.

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

pith.paper-citation-record.v1
2506.22718 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:10:23.676287Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T18:13:03.698209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T18:13:13.116522Z

Reference resolution

64 of 64 outbound references displayed

verified exact1
verified fuzzy52
unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ed69c1b-b4ae-47c8-b311-b001e5feb304 · outbound

This paper cites Learning to generalize kinematic models to novel objects.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Learning to generalize kinematic models to novel objects

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:34.539593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation def29475-ac6b-4e15-8830-fdb35a11a8af · outbound

This paper cites Learning to infer kinematic hierarchies for novel object instances.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Learning to infer kinematic hierarchies for novel object instances

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:34.362098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e80b67ed-713d-4de6-8586-2639ce19d317 · outbound

This paper cites Category-level global camera pose estimation with multi-hypothesis point cloud correspondences.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Category-level global camera pose estimation with multi-hypothesis point cloud correspondences

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:34.188944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f7d4be8-d976-4330-a9fc-db2e6e257be2 · outbound

This paper cites A benchmark for 3d mesh segmentation.Acm transactions on graphics (tog), 28(3):1–12, 2009.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians A benchmark for 3d mesh segmentation.Acm transactions on graphics (tog), 28(3):1–12, 2009

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:34.001086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe728700-72e1-4bdf-a842-98b5ab3a4445 · outbound

This paper cites MIT press, 2022.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians MIT press, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:33.842106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e78aaeaa-90ae-429c-ab06-8b04fdfc525f · outbound

This paper cites On implementing 2d rectangular assignment algorithms.IEEE Trans- actions on Aerospace and Electronic Systems, 52(4):1679–1696, 2016.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians On implementing 2d rectangular assignment algorithms.IEEE Trans- actions on Aerospace and Electronic Systems, 52(4):1679–1696, 2016

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:33.705272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7099caa1-c9e3-4665-935e-9afa2a47287f · outbound

This paper cites Banana: Banach fixed-point network for pointcloud segmentation with inter-part equiv- ariance.Advances in Neural Information Processing Systems, 36, 2024.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Banana: Banach fixed-point network for pointcloud segmentation with inter-part equiv- ariance.Advances in Neural Information Processing Systems, 36, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:33.544369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ad0f98f-1805-4cc1-b4e7-96e045fba886 · outbound

This paper cites 3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians 3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:10:23.869215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb371fd5-5ef3-4a95-a505-9caee21c7dd0 · outbound

This paper cites Nonparametric object and parts modeling with lie group dynamics.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Nonparametric object and parts modeling with lie group dynamics

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:33.372181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ac1ed5c-7a34-45a3-ad53-b3b413f11bd0 · outbound

This paper cites Carto: Cate- gory and joint agnostic reconstruction of articulated objects.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Carto: Cate- gory and joint agnostic reconstruction of articulated objects

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:33.222312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb7a94e6-cb64-4893-8da1-91b7b8699d8d · outbound

This paper cites Ditto in the house: Building articu- lation models of indoor scenes through interactive perception.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Ditto in the house: Building articu- lation models of indoor scenes through interactive perception

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:33.056017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5b8c1782-a8a6-497c-979b-302ec18acf1e · outbound

This paper cites Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.910873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de811be0-b678-413f-a93a-5d680f1f2e4f · outbound

This paper cites Screwnet: Category- independent articulation model estimation from depth images using screw theory.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Screwnet: Category- independent articulation model estimation from depth images using screw theory

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.782445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6240106d-b10b-4680-bed0-952f59591909 · outbound

This paper cites Categorical reparametrization with gumble- softmax.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Categorical reparametrization with gumble- softmax

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.491683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 360c4201-216e-48a4-80ef-0440f8546c12 · outbound

This paper cites Ditto: Building digital twins of ar- ticulated objects from interaction.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Ditto: Building digital twins of ar- ticulated objects from interaction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:32.194258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e76d248e-b304-4906-b3a7-d403f6c47af0 · outbound

This paper cites A shortest augmenting path algorithm for dense and sparse linear assignment problems.Computing (Wien.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians A shortest augmenting path algorithm for dense and sparse linear assignment problems.Computing (Wien

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:31.915599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55d21782-7884-45dc-8790-91a40a8c9216 · outbound

This paper cites Direct visibility of point sets.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Direct visibility of point sets

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:19.952039Z

Source-reported events for the cited work

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Observation 27629b10-71dc-4a16-8330-075432ebc2c0 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4), July 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:31.681018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9f67442-805b-421e-8388-cc1fb9a66eb5 · outbound

This paper cites Camm: Building category-agnostic and animatable 3d models from monocular videos.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Camm: Building category-agnostic and animatable 3d models from monocular videos

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:31.395986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2225e05d-ff2a-483e-8ddd-58a2a7447be1 · outbound

This paper cites Gart: Gaussian articulated template models.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Gart: Gaussian articulated template models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:31.121278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e90b6cff-e82d-4023-9c60-5136386b26f5 · outbound

This paper cites Category-level articulated object pose estimation.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Category-level articulated object pose estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.860321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b40de17-48f0-4667-83a3-26d87b75408b · outbound

This paper cites Lepard: Learning explicit part discovery for 3d articulated shape re- construction.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Lepard: Learning explicit part discovery for 3d articulated shape re- construction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.643352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 249bfb9e-7ad6-4b9c-a7be-9c1e023f4118 · outbound

This paper cites Semi-weakly supervised object kinematic motion prediction.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Semi-weakly supervised object kinematic motion prediction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.347698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 262187fd-eb6b-4aab-a74c-902c6b00f1fb · outbound

This paper cites Paris: Part-level reconstruction and motion analysis for articulated objects.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Paris: Part-level reconstruction and motion analysis for articulated objects

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.187144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19376064-d7d7-4f05-914c-3d2b945bbda4 · outbound

This paper cites Partslip: Low-shot part segmentation for 3d point clouds via pretrained image- language models.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Partslip: Low-shot part segmentation for 3d point clouds via pretrained image- language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:30.035311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5603e39-80b5-4caf-b14b-f2ea974d6fab · outbound

This paper cites Building rearticulable models for arbitrary 3d objects from 4d point clouds.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Building rearticulable models for arbitrary 3d objects from 4d point clouds

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:29.876611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 707f498f-ebf1-4357-9064-cc172198b617 · outbound

This paper cites Meteornet: Deep learning on dy- namic 3d point cloud sequences.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Meteornet: Deep learning on dy- namic 3d point cloud sequences

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:29.706463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7192783d-db5a-44b7-adc9-881f0e16c464 · outbound

This paper cites Self-supervised category-level articulated object pose estimation with part-level se (3) equivariance.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Self-supervised category-level articulated object pose estimation with part-level se (3) equivariance

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:29.525523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e4193bc-d7ff-4115-a0b9-f817612ce002 · outbound

This paper cites Relation-shape con- volutional neural network for point cloud analysis.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Relation-shape con- volutional neural network for point cloud analysis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:29.345765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 565a87e5-2ce8-4776-ae4a-5f3a150a05c3 · outbound

This paper cites an unresolved cited work.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:20.487648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5643a9a0-bb22-4692-bba9-2a7385a0e41c · outbound

This paper cites Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:20.636084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fea8ab43-2757-43b2-a904-1e9ec8232187 · outbound

This paper cites Modern robotics: Mechanics, planning, and control.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Modern robotics: Mechanics, planning, and control

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:29.211383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35697fc1-6a28-46ab-8767-32955f16d411 · outbound

This paper cites The concrete distribution: A continuous relaxation of discrete random variables.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians The concrete distribution: A continuous relaxation of discrete random variables

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:29.042460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9e5813f-5e75-44b0-956d-decb4c408707 · outbound

This paper cites The expectation-maximization algorithm.IEEE Signal processing magazine, 13(6):47–60, 1996.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians The expectation-maximization algorithm.IEEE Signal processing magazine, 13(6):47–60, 1996

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:20.932606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0156fb4a-f66a-4407-b5b5-d15d5b4c5c78 · outbound

This paper cites Structure from action: Learning interactions for 3d articulated object structure discovery.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Structure from action: Learning interactions for 3d articulated object structure discovery

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:28.888720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d390ab87-d8b9-4f3f-871c-0d4f4fa01e64 · outbound

This paper cites Watch it move: Unsupervised discovery of 3d joints for re-posing of articulated ob- jects.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Watch it move: Unsupervised discovery of 3d joints for re-posing of articulated ob- jects

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:28.721647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5776bca6-f6ec-4eea-a8ef-2c6384da771b · outbound

This paper cites Efficient computation of the tree edit distance.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Efficient computation of the tree edit distance

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:28.464471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fab3e92-f861-4624-b0ae-46dc12eb8766 · outbound

This paper cites Pointnet++: Deep hier- archical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Pointnet++: Deep hier- archical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:21.303221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eacb6237-c938-45f9-93b6-0a64e64a71ea · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.Advances in neural information processing systems, 35:23192–23204, 2022.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Pointnext: Revisiting pointnet++ with improved training and scaling strategies.Advances in neural information processing systems, 35:23192–23204, 2022

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:21.421816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b11d951-c129-40f0-9e1b-c08996f24881 · outbound

This paper cites Gaussian mixture models.Encyclopedia of biometrics, 741 (659-663):3, 2009.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Gaussian mixture models.Encyclopedia of biometrics, 741 (659-663):3, 2009

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:28.130729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36fd0b82-0427-4963-b31a-21e92a201f56 · outbound

This paper cites an unresolved cited work.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:10:27.798682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c64f1237-fa37-4c17-b08c-5cea74181a5a · outbound

This paper cites Self-supervised learning of part mobility from point cloud sequence.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Self-supervised learning of part mobility from point cloud sequence

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:27.481981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a6940f9-0bea-40fd-8754-e82334cb0bf1 · outbound

This paper cites Re- acto: Reconstructing articulated objects from a single video.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Re- acto: Reconstructing articulated objects from a single video

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:27.260701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3ceb60c-9c05-434b-9e3a-d239f6ea6b58 · outbound

This paper cites Performance of bayesian model selection criteria for gaussian mixture models.Frontiers of statistical decision making and bayesian analysis, 2:113–130, 2010.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Performance of bayesian model selection criteria for gaussian mixture models.Frontiers of statistical decision making and bayesian analysis, 2:113–130, 2010

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:26.991187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9083cd85-089e-4fa5-b5c3-2e737065eb1a · outbound

This paper cites Geometry and screw theory for robotics.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Geometry and screw theory for robotics

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:26.661419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5bd3fb45-e008-4c86-9a19-98684d9bcb26 · outbound

This paper cites Kpconv: Flexible and deformable con- volution for point clouds.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Kpconv: Flexible and deformable con- volution for point clouds

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:26.308567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b0881d0-01b6-4be7-af72-03f6bdbb7d0a · outbound

This paper cites Cla-nerf: Category- level articulated neural radiance field.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Cla-nerf: Category- level articulated neural radiance field

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:26.002428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6975338-29ff-4c97-86c6-3790526536f9 · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction.Advances in Neural Information Processing Systems, 34:27171–27183, 2021.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction.Advances in Neural Information Processing Systems, 34:27171–27183, 2021

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.699772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bdec325-795c-4dd9-9b71-ad45b5cc7a4c · outbound

This paper cites AdaAfford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians AdaAfford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.567415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a622cb86-df02-4aad-8f10-cabdc28d8f7e · outbound

This paper cites Dynamic graph cnn for learning on point clouds.ACM Trans- actions on Graphics (tog), 38(5):1–12, 2019.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Dynamic graph cnn for learning on point clouds.ACM Trans- actions on Graphics (tog), 38(5):1–12, 2019

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.436049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8af242f6-a90b-42ed-8c5a-7509cb79b3b5 · outbound

This paper cites Self- supervised neural articulated shape and appearance models.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Self- supervised neural articulated shape and appearance models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.297085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6225947-cacd-46e1-bfc5-df2b425f2503 · outbound

This paper cites Magicpony: Learning articulated 3d animals in the wild.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Magicpony: Learning articulated 3d animals in the wild

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.162954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d12095b-b773-4ce5-a899-eff6dc2c50cc · outbound

This paper cites Pointpwc-net: Cost volume on point clouds for (self-) supervised scene flow estimation.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Pointpwc-net: Cost volume on point clouds for (self-) supervised scene flow estimation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:25.034441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f0d52bb4-13fb-4d41-9342-b87c1913737c · outbound

This paper cites CASA: Category-agnostic skeletal animal reconstruction.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians CASA: Category-agnostic skeletal animal reconstruction

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.899332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45efba79-7eb1-48b8-af20-cdec9cdc52d8 · outbound

This paper cites Sapien: A simulated part-based inter- active environment.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Sapien: A simulated part-based inter- active environment

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.791845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae3eb1c4-e488-4e28-a4a9-e46e5357a65d · outbound

This paper cites Lasr: Learning articulated shape reconstruction from a monocular video.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Lasr: Learning articulated shape reconstruction from a monocular video

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.690259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12d01bf8-bec1-4f85-bb24-00cb5fbe7e61 · outbound

This paper cites Banmo: Building animatable 3d neural models from many casual videos.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Banmo: Building animatable 3d neural models from many casual videos

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.556035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 049ce586-8af3-418b-80c6-93855fcff947 · outbound

This paper cites Lassie: Learning articulated shape from sparse image ensemble via 3d part discovery.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Lassie: Learning articulated shape from sparse image ensemble via 3d part discovery

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.454201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e561b4c0-37f1-4a86-9352-78bc51aa9fbb · outbound

This paper cites Deep part induction from articulated object pairs.ACM Transactions on Graphics (TOG), 37(6):1–15, 2018.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Deep part induction from articulated object pairs.ACM Transactions on Graphics (TOG), 37(6):1–15, 2018

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.300932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b3b4948-fc85-4455-9c7e-0d7351bff3c5 · outbound

This paper cites Gspn: Generative shape proposal network for 3d instance segmentation in point cloud.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Gspn: Generative shape proposal network for 3d instance segmentation in point cloud

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:10:24.100655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c43375ae-b610-4d61-9a59-f403da705a58 · outbound

This paper cites Simple fast algorithms for the editing distance between trees and related problems.SIAM journal on computing, 18(6):1245–1262, 1989.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Simple fast algorithms for the editing distance between trees and related problems.SIAM journal on computing, 18(6):1245–1262, 1989

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:23.411420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95a24b3a-58d0-42b8-a31e-6614c20e7077 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians Open3D: A Modern Library for 3D Data Processing

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:23.503073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f3b4ee-e3da-4714-a1cd-d0f8a889eab7 · outbound

This paper cites On the continuity of rotation representations in neural networks.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians On the continuity of rotation representations in neural networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:23.589816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e1ea3c-696d-461c-8d80-662d8c07267b · outbound

This paper cites 3d menagerie: Modeling the 3d shape and pose of animals.

Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians 3d menagerie: Modeling the 3d shape and pose of animals

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T22:10:23.676287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 33e62a25-d9e3-4c4a-9a6a-cf814745adbe · inbound

SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting cites this paper.

SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:13:13.119822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.