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Paper Citation Record · LEDGER

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.13844.

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

pith.paper-citation-record.v1
2406.13844 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:02:15.440972Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:40:42.134600Z

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 4ab60686-2da3-4dcc-8f85-b4c9f7eb6a50 · inbound

HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer Segmentation cites this paper.

HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer Segmentation A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:24.019816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:48:24.019816Z digest=sha256:4b8082c1c123deafb3f1fe7a99d3b9a8663d7c5a4e31ec093c16fb4307b29c38

Observation ec206a58-3be0-403c-b0c8-f3156e4f2a9d · inbound

Uncertainty Quantification for Machine Learning in Healthcare: A Survey cites this paper.

Uncertainty Quantification for Machine Learning in Healthcare: A Survey A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-16T01:02:15.440972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:02:15.440972Z digest=sha256:61d69a95bb7810e23b80f87a2f6f4cf29b3888fb4395749a7d37d576537bad78

Observation 073533b0-4d76-494b-8dc7-4949cfddd841 · inbound

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI cites this paper.

Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T18:47:38.400292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:47:38.400292Z digest=sha256:aff298b74f9d8f0eb09b102b05dd11b1ba4d8e9ccb90ce9ec4d078f2c9b560eb

Observation 340bd790-4af5-43b3-b7ac-e617b288ead8 · inbound

Single Image Test-Time Adaptation via Multi-View Co-Training cites this paper.

Single Image Test-Time Adaptation via Multi-View Co-Training A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:40:42.235736Z

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.

source=pdf_text observed=2026-08-06T21:40:39.779634Z digest=sha256:9a38b3574526addf3eb4a8f99c7cf5dc4d623df35309ffe116a8cfcb2966cd72