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Paper Citation Record · LEDGER

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2410.13882.

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

pith.paper-citation-record.v1
2410.13882 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:33:58.525818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.803552Z

Reference resolution

0 of 0 outbound references displayed

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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 e7ce85ac-db6c-413b-9eaa-ecbfc1ee3c3c · inbound

Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation cites this paper.

Re$^3$Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T00:05:05.709995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:05:05.709995Z digest=sha256:beb584e2dea5f9b7e582e3cf8b4f3341de5dd5521ddb8742685f9bddf3a68208

Observation 5a4befe8-c773-43c8-8100-18d7eea58d3e · inbound

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting cites this paper.

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:07:32.397563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:32.397563Z digest=sha256:6ca6a0f52b614d44dc16e9fe50dd693fef57c4ca7b1b6c2614b6c28dc78b3d45

Observation 33e0b914-87e9-4a4c-88b1-447ccbe3cc2c · inbound

VLMgineer: Vision Language Models as Robotic Toolsmiths cites this paper.

VLMgineer: Vision Language Models as Robotic Toolsmiths Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:00.339714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:00.339714Z digest=sha256:e1cac9d1a2c94f6133d25c4917cb591e58ae50746fbbc1b3cdf00b4f62f0ff57

Observation ae5e69b8-b72d-4640-8419-75df0820f1a9 · inbound

ScrewSplat: An End-to-End Method for Articulated Object Recognition cites this paper.

ScrewSplat: An End-to-End Method for Articulated Object Recognition Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T05:15:42.072266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:15:42.072266Z digest=sha256:9c40fc33c7fb3f1c2b459fe5f3f32fe2d184ad69f62ee16b3183326fc61eeda8

Observation 5d644dd7-f3eb-4088-9a08-0a83799bfbb1 · inbound

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels cites this paper.

Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T18:15:10.366811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:15:10.366811Z digest=sha256:3cda6abde6793ef40a5335668fd09b3f56b260fa10ff429c9401b172e2bf68dc

Observation d8348453-7f40-4732-8deb-22af54e97e52 · inbound

PAOLI: Pose-free Articulated Object Learning from Sparse-view Images cites this paper.

PAOLI: Pose-free Articulated Object Learning from Sparse-view Images Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:46:45.102398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T18:45:53.746965Z digest=sha256:86f61d45daa75136fa6195f289d6437f35034f5e0ec72cf274f4c91c4c1b1458

Observation ee131405-9608-4ea0-889f-f0ac62b8f6f5 · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-04T08:45:16.171430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:45:16.171430Z digest=sha256:2fc87209b7b59b6bd960d5b2b3c02e2400c6652a762d658980e07dfda85a24bd

Observation fa933147-d7e0-4e83-9f50-474928ae3a76 · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:01:25.518365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T13:16:44.508344Z digest=sha256:80e45ca738d1a283769febfd2cc6ebcd9fae189f4942515c7193af8cbc740c2e

Observation 9b5313ec-be2b-45ab-bcb0-bbfbf1937cdb · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:14.331890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T03:31:05.311070Z digest=sha256:6022b567cfabd9eaa87acefd95556804bb3232dceb102dd381f6998036757073

Observation 61215bbd-65e6-4510-ac6d-52c6d08dee86 · inbound

PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World cites this paper.

PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:06:10.429110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T16:34:56.301081Z digest=sha256:948351817e0b99ca05749ec73a199d988c028938726afb8572a8abd86fc44417

Observation fae8197b-b84e-4890-8a85-246b412b55b1 · inbound

QueST: Persistent Queries as Semantic Monitors for Drift Suppression in Long-Horizon Tracking cites this paper.

QueST: Persistent Queries as Semantic Monitors for Drift Suppression in Long-Horizon Tracking Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:36:25.185285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-12T04:09:16.584850Z digest=sha256:245fe4bdc0e8d8e00f822ba6f3cab3da66a070dbbbd87e8082dfa46835770a59

Observation cb38d480-bf75-4ab9-a516-072ccc4fbfbe · inbound

ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics cites this paper.

ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:48:53.531707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8dc52c77-a50e-400a-98c9-a525acb16017 · inbound

Functionalization via Structure Completion and Motion Rectification cites this paper.

Functionalization via Structure Completion and Motion Rectification Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:28:16.882196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T12:25:07.157086Z digest=sha256:6015d6246d71db0d68c920f64bc9d4d8e2369729a9a596284497e2c5fb4b9b3b

Observation 6b228501-8da9-4794-a348-afab6e1d4ac4 · inbound

Automatically Improving Simulation Physics for Articulated Objects cites this paper.

Automatically Improving Simulation Physics for Articulated Objects Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:03:10.573692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T09:00:11.228181Z digest=sha256:2fc4a8820f3f68b3c1647efa240658ad69d0963a535efc900fb12f318faafd67

Observation 304a1a86-c4e2-4237-b60c-f2bcdaffde10 · inbound

$\Delta$ynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos cites this paper.

$\Delta$ynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:14:41.023077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T06:14:26.824489Z digest=sha256:ea10d1331507430a680371c5fb52f2f662c6185aba490de59d28de4ddbe4f4f3

Observation 505e2038-e9a4-4a6c-9975-a964567c0cd6 · inbound

PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects cites this paper.

PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:41:21.908992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 16e23042-864b-435e-973d-488232b3157b · inbound

Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects cites this paper.

Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:54:44.245987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T13:44:41.461355Z digest=sha256:22d08a46fb3abc10df7a16492e432f9308c0b0c7b9eab086b9ba7e96c7884cce

Observation f791acfa-4983-421e-b648-08478d4b914d · inbound

NeuROK: Generative 4D Neural Object Kinematics cites this paper.

NeuROK: Generative 4D Neural Object Kinematics Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:14.980336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T08:20:39.824430Z digest=sha256:9f76381212c89a6b619b853ead04199d20d2e60090377131558ac16d7fb51c50

Observation c4fcd2e6-e6d0-417b-9642-6e5c2e560991 · inbound

Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models cites this paper.

Thinking in Blender: Staged Executable Inverse Graphics with Vision-Language Models Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 17

Resolution
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arxiv_id, observed 2026-07-01T22:46:19.348048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T15:04:01.773923Z digest=sha256:ed81135c3ce3ce51a6b92f3cf3e53b585de79c6d6874b40c82b6e1d0267153bb

Observation 3a67a2ce-9528-4b66-8ab5-fb6e030ac9e9 · inbound

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors cites this paper.

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:37:25.837289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e06067ca-5497-4299-af32-2c7de09e7d85 · inbound

ArtiTwinSplat: Interactable Digital Twin Reconstruction via Gaussian Splatting from RGB-D videos cites this paper.

ArtiTwinSplat: Interactable Digital Twin Reconstruction via Gaussian Splatting from RGB-D videos Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.805102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fac70b22-0713-4b13-bab4-57e156332377 · inbound

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation cites this paper.

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:15:50.860167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T04:06:08.614269Z digest=sha256:85b3d819743ee57aea30ca2b48bccfe15e02dbb5cd18f22fd9764ea1274e5568

Observation 3630e6ed-f200-468b-9e3e-38f1c4768c74 · inbound

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation cites this paper.

SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-12T11:29:13.380384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T11:29:13.380384Z digest=sha256:2d556b003cfa281b4268b84ad94a951a4ad8f0edd20f1c3e2a57912cd1beeecd

Observation 04d125bf-b5c2-46c9-9e0c-6cc5211f6c3d · inbound

PhysX-CoT: Structured Physical Reasoning from a Single Image to Simulation-Ready 3D Assets cites this paper.

PhysX-CoT: Structured Physical Reasoning from a Single Image to Simulation-Ready 3D Assets Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T00:33:58.525818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:33:58.525818Z digest=sha256:e7f918a2f4ca3e6231f41058368ee6eb6f0e3bb2218824807e979ec328831b6a