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Paper Citation Record · LEDGER

UniverSeg: Universal Medical Image Segmentation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.06131.

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

pith.paper-citation-record.v1
2304.06131 v1

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:37:02.760984Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:56:01.969865Z

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 b382b340-0762-4e65-ae18-a89a1f71a9f4 · inbound

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain cites this paper.

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain UniverSeg: Universal Medical Image Segmentation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T13:37:02.760984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:37:02.760984Z digest=sha256:731e011586ff261f06dd13987d074d8cd8044d2994f1e994558a325124ed1cb8

Observation 51df0f2d-df56-4134-ba66-4b7094172f73 · inbound

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? cites this paper.

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? UniverSeg: Universal Medical Image Segmentation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T21:12:05.786244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:12:05.786244Z digest=sha256:4047e930b55a56fe361e5ca8a668e35e1c4c032ffcc90ae4d0c671a52ba08cb3

Observation 667f49f3-a586-4c76-80cd-d53b7f7a32b6 · inbound

Scaling In-Context Segmentation with Hierarchical Supervision cites this paper.

Scaling In-Context Segmentation with Hierarchical Supervision UniverSeg: Universal Medical Image Segmentation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:56:01.976355Z

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=2026-05-10T15:16:49.996084Z digest=sha256:b9ad7ee35996f17e4a0c18b938ed7e0f4ff26d5283b8a9c22643f96f060e15cf