Paper Citation Record · LEDGER

SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2310.15161.

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

pith.paper-citation-record.v1
2310.15161 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:56.157284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:54:20.415727Z

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 985f866f-b114-42c8-abb0-cec49a13e53c · inbound

Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation cites this paper.

Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:56.157284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f46c0ecc-91ca-4399-9eda-801f573c5c99 · inbound

MedSeg-R: Medical Image Segmentation with Clinical Reasoning cites this paper.

MedSeg-R: Medical Image Segmentation with Clinical Reasoning SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:19:10.971314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6009f4cc-25ed-4630-828a-3dd710f44266 · inbound

AI-Driven MRI-based Brain Tumour Segmentation Benchmarking cites this paper.

AI-Driven MRI-based Brain Tumour Segmentation Benchmarking SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:50:02.221112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a5eb09-1d5a-4dee-9e91-5ce010685716 · inbound

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

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 179

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:25.567633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e7cd21-fd2e-4ea3-b083-f63eef6e8a6e · inbound

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities cites this paper.

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:55.197575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be6e9c10-f797-42d6-92d2-e89b48101a05 · inbound

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging cites this paper.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:40.457448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8786f56-dbd8-4faf-b66c-7d486fc7b444 · inbound

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation cites this paper.

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T11:07:52.898989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507ff780-ef08-47b7-95bd-a0e041487990 · inbound

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model cites this paper.

Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:10.749047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd023627-8cbd-4b65-9bfc-e882cc06f48d · inbound

Segment Anything for Cell Tracking cites this paper.

Segment Anything for Cell Tracking SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T18:27:53.435502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63fbadc4-abb4-4dfb-9d09-fe7608feb18a · inbound

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents cites this paper.

TSegAgent: Zero-Shot Tooth Segmentation via Geometry-Aware Vision-Language Agents SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:05:20.316225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75be47f6-08f2-49f6-bffb-9b4566766324 · inbound

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer cites this paper.

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:07.579544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f450d096-1c42-4f89-9832-b816e4251242 · inbound

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

Align then Refine: Text-Guided 3D Prostate Lesion Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:05:23.467670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c44b3e01-6d12-4686-90a7-30b7d86d2446 · inbound

CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization cites this paper.

CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:28:39.341458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 708535f9-5894-4f75-93ca-0b072e48fcb7 · inbound

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation cites this paper.

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:43.181094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df3bbd52-894d-4a88-9b77-d68fd6cb7afd · inbound

VesselSim: learning 3D blood vessel segmentation without expert annotations cites this paper.

VesselSim: learning 3D blood vessel segmentation without expert annotations SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:44:01.309761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eb8c940b-e3e3-42ba-a958-9a68c22ead5b · inbound

LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation cites this paper.

LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:54:20.417404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7fc4d59-f1d3-4042-88df-3a20bddeb7f2 · inbound

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation cites this paper.

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:44:18.769383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad54cc98-77f8-4151-a216-0a92f12973dd · inbound

SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images cites this paper.

SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T05:08:21.634326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.