Paper Citation Record · LEDGER

ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.03045.

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

pith.paper-citation-record.v1
2503.03045 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:31:05.631019Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.343614Z

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 6b6c4a8a-4764-4048-bea4-b000af2f78d2 · inbound

One View, Many Worlds: Single-Image to 3D Object Meets Generative Domain Randomization for One-Shot 6D Pose Estimation cites this paper.

One View, Many Worlds: Single-Image to 3D Object Meets Generative Domain Randomization for One-Shot 6D Pose Estimation ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T21:31:05.631019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4efc20a3-2ae3-405a-8504-20c163574875 · inbound

CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining cites this paper.

CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:27:36.868328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2dfd48f-329d-462c-88dd-80cb9bf8ce68 · inbound

Generative Simulation for Policy Learning in Physical Human-Robot Interaction cites this paper.

Generative Simulation for Policy Learning in Physical Human-Robot Interaction ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:35:57.580625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1769525c-7def-40f4-a959-414583746568 · inbound

Disentangled Point Diffusion for Precise Object Placement cites this paper.

Disentangled Point Diffusion for Precise Object Placement ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:31:02.555309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cdfecf8a-190e-4c3d-b7f9-509ff66ee3ae · inbound

Real-IKEA: Physical Fidelity is the Prerequisite for Robust Manipulation cites this paper.

Real-IKEA: Physical Fidelity is the Prerequisite for Robust Manipulation ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:29.886481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2966cfdc-5f99-4b41-97e0-200e232f8e66 · inbound

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation cites this paper.

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:07:33.594467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08962ed5-ece8-46a0-b275-86715006489b · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:57.285825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e218fc8a-6559-4c59-9c75-a351273a1bd5 · inbound

AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation cites this paper.

AnnotateAnything: Automatic Annotation of 3D Assets for Robot Manipulation ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:55.345085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68e94852-e8dc-4ebd-9bd9-7b99081f3b9a · inbound

From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation cites this paper.

From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:35:43.654187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47dd0372-7ee1-4589-bcb9-ad324a09d09c · inbound

KAI: A Kinematic-Aware Interface for Data-Efficient Articulated Object Manipulation cites this paper.

KAI: A Kinematic-Aware Interface for Data-Efficient Articulated Object Manipulation ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T13:18:44.582859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.