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Paper Citation Record · LEDGER

Attention Mechanisms in Medical Image Segmentation: A Survey

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.17937.

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

pith.paper-citation-record.v1
2305.17937 v1

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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:32:40.417057Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:41:00.095901Z

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 297c460d-6623-4231-8c1e-a650ca329637 · inbound

ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement cites this paper.

ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement Attention Mechanisms in Medical Image Segmentation: A Survey

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T18:01:27.556563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:01:27.556563Z digest=sha256:4134e5bf73563800f824a77881394f09d7b38b4205ac2715dc01130f35229856

Observation 4c20fbb8-7c9e-41f0-be9e-c48ae5152226 · inbound

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation cites this paper.

GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Attention Mechanisms in Medical Image Segmentation: A Survey

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T04:32:40.417057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:32:40.417057Z digest=sha256:882b802050834191c103caf5c7d4c1cfbfbf2c1a63ae31582fbb4dbea1c81d27

Observation fa66e15d-d587-40af-9ae5-3de3ae6534df · inbound

NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs cites this paper.

NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs Attention Mechanisms in Medical Image Segmentation: A Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:12:59.056796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:12:59.056796Z digest=sha256:cb223c1eb07fca60cd4da928fde99565042bd864cafeebf7f1b18382ae1107d2

Observation 67bd04ca-bc92-42d1-9e62-76728e9f1299 · 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 Attention Mechanisms in Medical Image Segmentation: A Survey

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T22:44:38.627501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:44:38.627501Z digest=sha256:b9c81780683f7d5ce78c96f416465802d2e15c2cb519122fedb9e90243014bbe

Observation 200284d6-2d46-4d4a-a221-936afe96ac82 · inbound

Adaptive Dual Residual U-Net with Attention Gate and Multiscale Spatial Attention Mechanisms (ADRUwAMS) cites this paper.

Adaptive Dual Residual U-Net with Attention Gate and Multiscale Spatial Attention Mechanisms (ADRUwAMS) Attention Mechanisms in Medical Image Segmentation: A Survey

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:00.099159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T18:00:08.960780Z digest=sha256:3c31da14bafb4b0f64f34e79eecc914e363e19735b4f8fd8f4a9f11aabe63fb2