Paper Citation Record · LEDGER

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net

As of 21 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2411.19564.

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

pith.paper-citation-record.v1
2411.19564 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:07:14.336549Z

measured 11 of 11 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact2
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9075886c-3cd1-431b-82ef-a4b3c6ac4905 · outbound

This paper cites an unresolved cited work.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-12T10:07:14.386314Z

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.

Observation deca5f83-6b3c-4f1c-9ae4-cbbb41ac169b · outbound

This paper cites an unresolved cited work.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net Unresolved cited work

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T10:08:00.285289Z

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.

Observation b4da2618-5ea5-4de4-a1ed-f6dd78085c93 · outbound

This paper cites P., Choupan, J., Law, M., & Toga, A.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net P., Choupan, J., Law, M., & Toga, A

Reference 23

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T10:07:14.700999Z

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.

Observation fdec5a60-da29-436d-a0b9-44a381320eaa · outbound

This paper cites F., Ziegler, S., Krämer, L., Denner, S., Xiao, S., Disch, N., Maier-Hein, K.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net F., Ziegler, S., Krämer, L., Denner, S., Xiao, S., Disch, N., Maier-Hein, K

Reference 30

Resolution: verified exact; raw_fallback, observed 2026-08-12T10:07:30.030105Z

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.

Observation 66071a98-79ab-45f2-840b-a46fec74eba3 · outbound

This paper cites Every Model Learned by Gradient Descent Is Approximately a Kernel Machine.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net Every Model Learned by Gradient Descent Is Approximately a Kernel Machine

Reference 152

Resolution: unresolved; no resolver link, observed 2026-08-12T10:07:14.326219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684ed38f-672c-4312-8cd6-2a02f06d90f2 · outbound

This paper cites J., Lee, H., Yu, M., Feng, T., Logan, J., Nedergaard, M., & Benveniste, H.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net J., Lee, H., Yu, M., Feng, T., Logan, J., Nedergaard, M., & Benveniste, H

Reference 219

Resolution: unresolved; no resolver link, observed 2026-08-12T10:07:14.316422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 365104e1-3960-456e-9792-daeb7b99a67f · outbound

This paper cites B., Epstein, C.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net B., Epstein, C

Reference 298

Resolution: malformed identifier; no resolver link, observed 2026-08-12T10:07:14.288601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e2224f-f809-4735-b086-c155b367f64e · outbound

This paper cites an unresolved cited work.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net Unresolved cited work

Reference 558

Resolution: unresolved; no resolver link, observed 2026-08-12T10:07:14.298664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536c36d3-e3a2-4d6c-8410-4a8380d0351a · outbound

This paper cites K., & Gholipour, A.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net K., & Gholipour, A

Reference 656

Resolution: unresolved; no resolver link, observed 2026-08-12T10:07:14.321336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaafc3ea-94dd-4fd6-9e35-bedc0fca2818 · outbound

This paper cites https://doi.org/10.1016/S1474-4422(23)00131-X Eide, P.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net https://doi.org/10.1016/S1474-4422(23)00131-X Eide, P

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-12T10:07:14.305357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970db354-8ddf-4d1b-a2d8-aef78cf34c75 · outbound

This paper cites https://doi.org/10.1002/alz.13449 Walt, S.

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net https://doi.org/10.1002/alz.13449 Walt, S

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T10:07:14.336549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.