Paper Citation Record · LEDGER

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2304.05396.

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

pith.paper-citation-record.v1
2304.05396 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:27:48.610404Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:13:52.825050Z

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 ce75aa92-90fd-46de-9c06-d5b14b2c6a7a · inbound

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

Data-Centric Foundation Models in Computational Healthcare: A Survey SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:52.827889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 590f1276-bc4c-4234-ae9c-719a65f778d2 · inbound

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network cites this paper.

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T15:51:33.093295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 450eeaf9-cecd-4d3c-bc09-e7054fb80cb8 · inbound

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine cites this paper.

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:14:24.263360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73bd46e6-8834-42e2-bdb3-a06318fd0de7 · inbound

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation cites this paper.

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:48:10.928308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b9327e-58b6-44be-8568-236d09aa0c72 · inbound

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation cites this paper.

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:15:26.515219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd228c9-0a84-43d0-b0a0-0996af9763cc · inbound

Skull stripping with purely synthetic data cites this paper.

Skull stripping with purely synthetic data SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:27:48.610404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c235e6-b1b2-4e03-83d3-fc862661d0b9 · inbound

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare cites this paper.

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T22:08:54.217871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5143a70-bf34-4722-8f55-b984fd1473bf · inbound

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception cites this paper.

SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic Perception SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:53.536829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee032ff-e61d-40b3-96bf-0d7999d099a5 · inbound

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning cites this paper.

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:47.481368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38ccbd67-ff8f-4b47-a7ff-9ee5589d22df · inbound

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model

Reference 177

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:25.556556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.