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Paper Citation Record · LEDGER

Mean Shift Mask Transformer for Unseen Object Instance Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.11679.

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

pith.paper-citation-record.v1
2211.11679 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:23:20.333378Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T05:23:20.381508Z

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 59362ca4-dd32-4592-90de-a181d5af94f6 · inbound

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models cites this paper.

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models Mean Shift Mask Transformer for Unseen Object Instance Segmentation

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-09T05:23:20.388116Z

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.

source=pdf_text observed=2026-08-09T05:23:20.333378Z digest=sha256:0a19be691b8ad3923701a88bd5da1ee2a18ae6301da905ebd1f96d3a622cb8a9

Observation c82d2215-5197-4bc5-bfc8-14d6bdb67dac · inbound

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation cites this paper.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Mean Shift Mask Transformer for Unseen Object Instance Segmentation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T17:08:56.864523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:08:56.864523Z digest=sha256:df84b1cc4910b936c5e678ac47ed2043113cf64f3186769eb3991ba16a880127

Observation 202d7fc9-333e-431e-9c9e-a0cfce7205bd · inbound

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking cites this paper.

Seg2Grasp: A Robust Modular Suction Grasping in Bin Picking Mean Shift Mask Transformer for Unseen Object Instance Segmentation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T17:06:15.765304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:06:15.765304Z digest=sha256:5ff187b6255f7188173a4638ec2841acdd89b10635b7536be5723c91caec6549