Paper Citation Record · LEDGER

RigNet: Neural Rigging for Articulated Characters

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2005.00559.

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

pith.paper-citation-record.v1
2005.00559 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:11:14.702342Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:28:33.540350Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc4d528a-deba-47aa-8f1d-c8a815d9bac0 · inbound

DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters cites this paper.

DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters RigNet: Neural Rigging for Articulated Characters

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:14.702342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04912a68-e5e0-498b-bf11-7bb9e038ddf2 · inbound

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration cites this paper.

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration RigNet: Neural Rigging for Articulated Characters

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T20:45:49.167502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6c32f8-26dc-42dc-9002-3fd101a20a93 · inbound

Category-Agnostic Neural Object Rigging cites this paper.

Category-Agnostic Neural Object Rigging RigNet: Neural Rigging for Articulated Characters

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:01:07.735477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa56ed37-f8e4-4c17-af31-d120fcfaa3cf · inbound

PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling cites this paper.

PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling RigNet: Neural Rigging for Articulated Characters

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:45:16.201909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81662ed-c992-4855-a298-dc04f65944d6 · inbound

VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos cites this paper.

VidAnimator: User-Guided Stylized 3D Character Animation from Human Videos RigNet: Neural Rigging for Articulated Characters

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T05:23:03.021916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22cbe92b-0536-403a-af05-b23dd279566c · inbound

MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos cites this paper.

MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos RigNet: Neural Rigging for Articulated Characters

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T12:35:31.207318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359df677-1293-4d87-aec1-8ea8b8c0d14c · inbound

Animator-Centric Skeleton Generation on Objects with Fine-Grained Details cites this paper.

Animator-Centric Skeleton Generation on Objects with Fine-Grained Details RigNet: Neural Rigging for Articulated Characters

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:54:16.493764Z

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 80d494dc-87ac-459a-8bd0-60e63f361470 · inbound

SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals cites this paper.

SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals RigNet: Neural Rigging for Articulated Characters

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:53:15.152796Z

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 6b9cbc01-4c99-4617-97cb-b45fda5b73e2 · inbound

Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance cites this paper.

Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance RigNet: Neural Rigging for Articulated Characters

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T02:37:59.368910Z

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 b374b576-4467-417d-9df9-a96cb503076f · inbound

SAMoR: Motion Modelling for Articulated Objects of Any Skeleton and Topology cites this paper.

SAMoR: Motion Modelling for Articulated Objects of Any Skeleton and Topology RigNet: Neural Rigging for Articulated Characters

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:28:33.541999Z

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 4fd3ec34-4df5-4dac-bb4c-d1e19924e6cd · inbound

ViP-Rig: Visual-Prompted Controllable Rigging cites this paper.

ViP-Rig: Visual-Prompted Controllable Rigging RigNet: Neural Rigging for Articulated Characters

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T21:28:09.325139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.