Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Segment Anything in Medical Images
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2304.12306.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:59:43.355075Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T06:54:20.399699Z
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 fbcfddca-9284-444d-a9bc-6bf665b3a006 · inbound
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications cites this paper.
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications Segment Anything in Medical Images
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:41:43.466824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 724e478e-0ee9-4faa-8aef-b395f562b73e · inbound
Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.
Data-Centric Foundation Models in Computational Healthcare: A Survey Segment Anything in Medical Images
Reference 194
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:13:52.609519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e8bf1f2c-51a2-418e-a253-2beb9cb5716a · inbound
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation cites this paper.
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation Segment Anything in Medical Images
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T12:36:49.945954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7ae41f4b-92fe-4efb-b2fe-640468955fb8 · inbound
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive cites this paper.
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segment Anything in Medical Images
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:59:43.355075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b78b0c35-acf9-4a6b-b415-8a4eceaee20f · inbound
Amodal SAM: A Unified Amodal Segmentation Framework with Generalization cites this paper.
Amodal SAM: A Unified Amodal Segmentation Framework with Generalization Segment Anything in Medical Images
Reference 16
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-10T01:10:09.333882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1cd47154-b7fa-476b-96bc-11af7f539935 · 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 Segment Anything in Medical Images
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T06:54:20.401601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 726303c7-a499-432f-9b32-1472757e143e · inbound
Shape-Based Inductive Bias for Glioma Grading from Tumor Contours cites this paper.
Shape-Based Inductive Bias for Glioma Grading from Tumor Contours Segment Anything in Medical Images
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T03:36:19.418121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.