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Paper Citation Record · LEDGER

OMG-Seg: Is One Model Good Enough For All Segmentation?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10229.

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

pith.paper-citation-record.v1
2401.10229 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:02.706354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:53:04.384493Z

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 e96330e5-cbf0-4c07-b9e9-957de476c346 · inbound

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance cites this paper.

LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance OMG-Seg: Is One Model Good Enough For All Segmentation?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:02.706354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:02.706354Z digest=sha256:4fea8709fa276293be90645b154b7af8cd3bb78fbfc3f5ef26cb15baafeaefe9

Observation 224c5800-cb0b-4bee-9562-2272dcc35876 · inbound

Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation OMG-Seg: Is One Model Good Enough For All Segmentation?

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:53:04.386002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T05:52:40.429412Z digest=sha256:06f4261c11b40c1585f28f19c5cc7bbb873cbbf91decc381daa436ac88c50d11