Paper Citation Record · LEDGER

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2508.20621.

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

pith.paper-citation-record.v1
2508.20621 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:02:50.067057Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

14 of 14 outbound references displayed

verified exact3
verified fuzzy5
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6015cff-7c48-4a28-9fac-ccdbd1b35a99 · outbound

This paper cites Information11(2), 125 (2020).

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification Information11(2), 125 (2020)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:53.775109Z

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 7378d614-93b1-4924-b832-fdf027dfa796 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification MONAI: An open-source framework for deep learning in healthcare

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T15:02:48.385533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d177920-ef9b-4faa-bf88-547011e1a867 · outbound

This paper cites Journal of Imaging 11(4), 98 (2025).

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification Journal of Imaging 11(4), 98 (2025)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:53.340654Z

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 5d92fbc0-f221-4d38-84a9-d709c2dbaafc · outbound

This paper cites https://gco.iarc.fr/ (2023), https://gco.iarc.fr/, accessed: 2023- 08-07.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification https://gco.iarc.fr/ (2023), https://gco.iarc.fr/, accessed: 2023- 08-07

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:53.024751Z

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 ad717b71-bf4a-42df-bac1-e3980811cd20 · outbound

This paper cites In: International MICCAI brainlesion workshop.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification In: International MICCAI brainlesion workshop

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:02:48.737519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3771ec06-2ede-4f92-b9c2-ffcffb529db5 · outbound

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

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification Single Image Test-Time Adaptation via Multi-View Co-Training

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:02:51.725339Z

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 37281cb0-74d7-45e2-a843-0f87cf0d61b3 · outbound

This paper cites Nature reviews Clinical oncology 14(12), 749–762 (2017).

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification Nature reviews Clinical oncology 14(12), 749–762 (2017)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:52.674777Z

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 fdb19183-af92-4920-bb91-1a08d581e8e2 · outbound

This paper cites Radiographics 26(6), 1719–1734 (2006).

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification Radiographics 26(6), 1719–1734 (2006)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:02:52.404750Z

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 115ea1e3-e0c6-43c0-91c7-d817df63affc · outbound

This paper cites A European Multi-Center Breast Cancer MRI Dataset.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification A European Multi-Center Breast Cancer MRI Dataset

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:02:51.415655Z

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 178d8d7f-cc6a-4e89-8906-cb16a7a29cb1 · outbound

This paper cites the Journal of machine Learning research12, 2825–2830 (2011).

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification the Journal of machine Learning research12, 2825–2830 (2011)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:02:49.484747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a1994c5-5e88-4927-84ec-b1f6f19540a2 · outbound

This paper cites Computer Methods and Programs in Biomedicine 208, 106236 (Sep 2021).https://doi.org/10.1016/j.cmpb.2021.106236, http: //dx.doi.org/10.1016/j.cmpb.2021.106236.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification Computer Methods and Programs in Biomedicine 208, 106236 (Sep 2021).https://doi.org/10.1016/j.cmpb.2021.106236, http: //dx.doi.org/10.1016/j.cmpb.2021.106236

Reference 11

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T15:02:50.922492Z

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 6d781d67-6f63-43ba-b1f7-3e20bac7e2e5 · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification In: International Conference on Medical image computing and computer-assisted intervention

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:02:49.794816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a66d2035-f255-413b-b75f-7d788782c8d8 · outbound

This paper cites The Can- cer Imaging Archive (2021).https://doi.org/https://doi.org/10.7937/TCIA.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification The Can- cer Imaging Archive (2021).https://doi.org/https://doi.org/10.7937/TCIA

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-05T15:02:49.932338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e73edcd-d898-4503-9d93-3347528e7d55 · outbound

This paper cites an unresolved cited work.

Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-05T15:02:50.388519Z

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.

Pith citing papers

No inbound Pith citation observations are available.