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Paper Citation Record · LEDGER

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2507.09857.

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

pith.paper-citation-record.v1
2507.09857 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:22:13.890495Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:05:48.100101Z

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 5c660ba5-8564-4919-89ae-372deaea03b7 · inbound

JailWAM: Jailbreaking World Action Models in Robot Control cites this paper.

JailWAM: Jailbreaking World Action Models in Robot Control AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:05:48.101835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T19:22:13.890495Z digest=sha256:a82a77e914d2c01de5cc85fab829111c57c68d290984fee564725b4f9d01e0f3