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Paper Citation Record · LEDGER

DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.08257.

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

pith.paper-citation-record.v1
2503.08257 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:16.500330Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:44.434322Z

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 1b002450-c90d-4b47-89f9-7953d6b59614 · inbound

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes cites this paper.

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:16.500330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:16.500330Z digest=sha256:4f05bc77cfa651514270919d2a0d9575b7955515a322f9d2d24edf9eb9ce94ba

Observation 2a9ea1d2-1e8a-4a6c-b228-d1735cf3e773 · inbound

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models cites this paper.

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

Reference 139

Resolution
unresolved
no resolver link, observed 2026-08-06T21:09:01.870133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:09:01.870133Z digest=sha256:23c1f72860dc5447f90973c2b8975266e7075e719d0873d68085a421c5266f62

Observation 4643cbef-c00e-41c1-ba23-c3b1efcff7da · inbound

Towards Robotic Dexterous Hand Intelligence: A Survey cites this paper.

Towards Robotic Dexterous Hand Intelligence: A Survey DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

Reference 192

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:45:06.158773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:44:23.945064Z digest=sha256:97b53201970ef2c3a3d59e6e0c5683090f2e87b10416a3e60a7a595e9c31e847

Observation a0909101-7dfb-40b0-a629-9b0a54de6fd0 · inbound

Human Universal Grasping cites this paper.

Human Universal Grasping DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:44.435597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T03:54:04.149409Z digest=sha256:47c1da1b567e1d9b568db60b2388ca99a01c3b45a50376361dfc14bbf061fd35

Observation f1872db7-d46c-4254-8bea-c2c6a5e6ad5a · inbound

MANGO-Grasp: Mahalanobis Fields over Geometry-Oriented 3D Gaussians for Cross-Embodiment Dexterous Grasping cites this paper.

MANGO-Grasp: Mahalanobis Fields over Geometry-Oriented 3D Gaussians for Cross-Embodiment Dexterous Grasping DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T16:43:10.762876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:43:10.762876Z digest=sha256:75c1bd9930810089100ba8e94efe63d2a4893a041b1b1d18bd4e7e77a1681265