Paper Citation Record · LEDGER

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2509.09469.

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

pith.paper-citation-record.v1
2509.09469 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:06:48.788653Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact4
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eac2e86-f5ab-4e77-bfe0-adbb8ede97bc · outbound

This paper cites an unresolved cited work.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:47.975573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a86c262b-69eb-4c39-8477-f73dad82d149 · outbound

This paper cites The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.024490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f6fd013-b72e-4f17-b0df-4cb6a1770fbe · outbound

This paper cites Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T19:09:30.341152Z

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 8b5deb8d-bfb6-43a1-85a1-1fd5728d54eb · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.121128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 663fa0df-46aa-41ff-9c3d-86468f62c9ab · outbound

This paper cites Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-04T19:09:30.194504Z

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 eb3f22b3-71c8-48c5-b4b1-18d818369da2 · outbound

This paper cites Visual Attention Methods in Deep Learning: An In-Depth Survey.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Visual Attention Methods in Deep Learning: An In-Depth Survey

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T19:09:29.890511Z

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 57b734d2-6c92-4df8-8101-7f32a38dfbd1 · outbound

This paper cites Medical Image Analysis36, 61–78 (Feb 2017).

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Medical Image Analysis36, 61–78 (Feb 2017)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.266350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1ec336-e2d4-4d14-9431-869cb693a102 · outbound

This paper cites Training of Deep Neural Networks based on Distance Measures using RMSProp.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Training of Deep Neural Networks based on Distance Measures using RMSProp

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T19:09:29.594376Z

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 c1237af5-a637-49c6-9df8-51e8c1059e96 · outbound

This paper cites NMR in Biomedicine37(7), e4992 (Jul 2024).

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI NMR in Biomedicine37(7), e4992 (Jul 2024)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.357590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3bae718-3481-4430-a65b-28d2c902e03b · outbound

This paper cites J Digit Imag- ing33(4), 903–915 (Aug 2020).

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI J Digit Imag- ing33(4), 903–915 (Aug 2020)

Reference 10

Resolution: verified exact; doi, observed 2026-08-04T19:09:29.350561Z

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 6e6f7732-37d4-4a5f-8583-831d883f5bbf · outbound

This paper cites BMC Health Serv Res23, 787 (Jul 2023).

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI BMC Health Serv Res23, 787 (Jul 2023)

Reference 11

Resolution: verified exact; doi, observed 2026-08-04T19:09:29.130864Z

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 c25474c0-fdf3-4be7-9962-96b139542f74 · outbound

This paper cites Sci Rep11, 10930 (May 2021).

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Sci Rep11, 10930 (May 2021)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.518912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a061e19-edff-4efa-96da-65c9d0216fb9 · outbound

This paper cites Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T19:09:28.902272Z

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 d623708a-9e08-48c5-9d6e-7186545c2fc9 · outbound

This paper cites Journal of Computational Sci- ence30, 174–182 (Jan 2019).

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Journal of Computational Sci- ence30, 174–182 (Jan 2019)

Reference 14

Resolution: verified exact; doi, observed 2026-08-04T19:09:28.599284Z

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 cfedc502-10ae-430c-aee3-3f6cd8009df1 · outbound

This paper cites Tversky loss function for image segmentation using 3D fully convolutional deep networks.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Tversky loss function for image segmentation using 3D fully convolutional deep networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.680956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ddeb4f-7976-4be2-8ea8-1cfb6433850b · outbound

This paper cites an unresolved cited work.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.730825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54bb8ef6-e447-4a58-89a6-ab771f924e23 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:06:48.788653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.