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Paper Citation Record · LEDGER

DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness

As of 13 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 2026-08-13T06:32:02.005865+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:dbbd15c6e7e348bc1876426876bd0e44ee6f9702a2f92deda02f083b676ecf65

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=sha256:474b97d65e425d676fed47ed932203aa6945f325683173c535d6aaebe6e6dbbf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T05:44:23.945064Z digest=sha256:eed43161b4fb5a498d22f81c5bc1969eab295800b527ccaa14c8018ea963af4a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T03:54:04.149409Z digest=sha256:9d202b31549bf60ed39b2b83ae687012dcb81cd50485f6fdf91f2d8805f9b7cd

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=sha256:1678f1998604c6b21339a045f762ca0f24c0cdb7849830887ec9721b6fb22d39