Paper Citation Record · LEDGER

UNETR: Transformers for 3D Medical Image Segmentation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2103.10504.

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

pith.paper-citation-record.v1
2103.10504 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:22:18.736130Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:30.109252Z

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 b493f540-8dcb-47cd-a85a-ce3ad7e8d7d8 · inbound

Generalizable automated ischaemic stroke lesion segmentation with vision transformers cites this paper.

Generalizable automated ischaemic stroke lesion segmentation with vision transformers UNETR: Transformers for 3D Medical Image Segmentation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T14:22:18.736130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53238fd0-7777-4e4a-82a5-e346ed1adfe5 · inbound

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling cites this paper.

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling UNETR: Transformers for 3D Medical Image Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:55.350569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554e61db-86c1-4d97-8400-a2483f8bbeb5 · inbound

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings cites this paper.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings UNETR: Transformers for 3D Medical Image Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.815630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb69fa8-0dac-4d72-be2a-e55215980e7f · inbound

UNICON: UNIfied CONtinual Learning for Medical Foundational Models cites this paper.

UNICON: UNIfied CONtinual Learning for Medical Foundational Models UNETR: Transformers for 3D Medical Image Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:48:43.504354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc57a143-6c50-48a9-8df2-1c4ae16b0c76 · inbound

Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI cites this paper.

Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI UNETR: Transformers for 3D Medical Image Segmentation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:55.206936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9d16d7f-b051-40cb-b727-44fdad9930cd · inbound

Align then Refine: Text-Guided 3D Prostate Lesion Segmentation cites this paper.

Align then Refine: Text-Guided 3D Prostate Lesion Segmentation UNETR: Transformers for 3D Medical Image Segmentation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:05:23.492027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d649b81b-2a1d-4ca4-bd95-4d8095f9fb99 · inbound

Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images cites this paper.

Parameter-Efficient Adaptation of SAM 3 for Automated ITV Generation from 4DCT Images UNETR: Transformers for 3D Medical Image Segmentation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:08:43.559247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32f27dee-651a-45c6-ba23-691d3f1a2f2c · inbound

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT cites this paper.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT UNETR: Transformers for 3D Medical Image Segmentation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.111299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.