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Paper Citation Record · LEDGER

GraspSAM: When Segment Anything Model Meets Grasp Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.12521.

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

pith.paper-citation-record.v1
2409.12521 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:26.631101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:20:43.674406Z

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 4382b3af-21e9-4b5c-9450-43b3bd7c59be · inbound

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping cites this paper.

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping GraspSAM: When Segment Anything Model Meets Grasp Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:26.631101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:26.631101Z digest=sha256:f93f9f969a169433783b64278a23e8e9c2217f47f4287b10786c242539b490a4

Observation 724131e9-4f71-42b9-90cd-dda6d602113b · inbound

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System cites this paper.

GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System GraspSAM: When Segment Anything Model Meets Grasp Detection

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:20:43.804832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:20:43.282965Z digest=sha256:b5ab678dcaae07dde5bcd04611e346fc79e8164526c60a75d30c2e256fee574b