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Paper Citation Record · LEDGER

Segment Anything Model for Medical Images?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.14660.

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

pith.paper-citation-record.v1
2304.14660 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:53.009675Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

40
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0983c634-5906-47b5-a60a-9f751f224c90 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Segment Anything Model for Medical Images?

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:53.132834Z

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.

source=pdf_text observed=2026-05-24T04:13:05.328492Z digest=sha256:4edda7e03b97267a404944938a3a10d9b5b12f5a6c4dc0d502210490f5f0ca36

Observation 94b1452f-1b90-486e-9242-72f932f38c8b · inbound

Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes cites this paper.

Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes Segment Anything Model for Medical Images?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:45:27.980578Z

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.

source=pdf_text observed=2026-05-23T05:43:24.079636Z digest=sha256:9c2a849c9318be59c4aa2bb6cc3d45e26e285ef9b6a41bae9afdf498a8d581b3

Observation 127435f9-4322-42f3-99e8-9d079d0a567f · inbound

TextureSAM: Towards a Texture Aware Foundation Model for Segmentation cites this paper.

TextureSAM: Towards a Texture Aware Foundation Model for Segmentation Segment Anything Model for Medical Images?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:53.009675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:02:53.009675Z digest=sha256:a19ba250ceadf423edee527b0bb1387df91de43270dc64f5b0746b48939c7214

Observation 7d6962ec-1fe8-4464-9b03-dc75637974f6 · inbound

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning cites this paper.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision-Language Learning Segment Anything Model for Medical Images?

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T22:44:40.684395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:44:40.684395Z digest=sha256:a63d9951ecf4d42269e0f22be558841803a66a2f5c6422c3ee1d24511d70eb1d

Observation 81dfe37d-2000-4e34-9750-5f3c75c037a9 · inbound

CardioSAM: Topology-Aware Decoder Design for High-Precision Cardiac MRI Segmentation cites this paper.

CardioSAM: Topology-Aware Decoder Design for High-Precision Cardiac MRI Segmentation Segment Anything Model for Medical Images?

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T22:46:13.337381Z

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.

source=pdf_text observed=2026-05-08T02:26:00.249879Z digest=sha256:54772626dc87796efbf9c8728b0cdafc4f65236c462ae40239d09403013cef83