{"as_of":"2026-08-08T09:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1d3d0ab39f6b6deeb531a8a28d537b8e36f259abe7c96f413b6e9f80799e1f9c","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T19:06:48.788653Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.09469/citation-record","integrity":"/paper/2509.09469/integrity","json":"/paper/2509.09469/citation-record.json","paper":"/paper/2509.09469"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:06:47.975573Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:47.975573Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:867d32a4d3e8484b6bddd6d10886724039d3d836e86b4c76cdb8065dbbb0966d","observation_id":"0eac2e86-f5ab-4e77-bfe0-adbb8ede97bc","resolution":{"observed_at":"2026-08-04T19:06:47.975573Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19369","last_updated":"2023-05-30T19:20:38Z","snapshot_observed_at":"2026-07-06T15:35:37.778184Z","submitted_at":"2023-05-30T19:20:38Z","title":"The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19369","snapshot_observed_at":"2026-08-04T19:06:48.024490Z","title":"https://doi.org/10.48550/arXiv.2305.19369, http://arxiv.org/abs/2305.19369, arXiv:2305.19369 [physics]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.024490Z"},"links":{"cited_paper":"/paper/2305.19369","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:41f27b79b7dee96d29c317c41beaae1445813dfa3640e0ba436c43ba465737a7","observation_id":"a86c262b-69eb-4c39-8477-f73dad82d149","resolution":{"observed_at":"2026-08-04T19:06:48.024490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11770","last_updated":"2023-12-19T01:03:19Z","snapshot_observed_at":"2026-07-06T17:05:02.853583Z","submitted_at":"2023-12-19T01:03:19Z","title":"Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations","version":1},"cited_work":{"arxiv_id":"2312.11770","doi":"10.48550/arxiv.2312.11770","metadata_source":"pith","pith_arxiv_id":"2312.11770","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations","venue":"cs.CV","work_id":"37c12a9b-80aa-4480-bc17-1d88718587af","year":2023},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.065892Z"},"links":{"cited_paper":"/paper/2312.11770","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:610ee914c934ea4e88c55b3541a2235694d613829007efe5886c7cf5cd50c281","observation_id":"9f6fd013-b72e-4f17-b0df-4cb6a1770fbe","resolution":{"observed_at":"2026-08-04T19:09:30.341152Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.02314","last_updated":"2021-09-12T20:26:52Z","snapshot_observed_at":"2026-08-06T01:56:28.054412Z","submitted_at":"2021-07-05T23:12:06Z","title":"The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.02314","snapshot_observed_at":"2026-08-04T19:06:48.121128Z","title":"https://doi.org/10.48550/arXiv.2107.02314, http://arxiv.org/abs/2107.02314, arXiv:2107.02314 [cs]","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.121128Z"},"links":{"cited_paper":"/paper/2107.02314","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:724c10454a37786769ceaa7935fff50eb05dc8a70a5b7ae0cee6ce4162a58984","observation_id":"8b5deb8d-bfb6-43a1-85a1-1fd5728d54eb","resolution":{"observed_at":"2026-08-04T19:06:48.121128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11775","last_updated":"2023-12-19T01:10:11Z","snapshot_observed_at":"2026-07-06T17:05:02.853583Z","submitted_at":"2023-12-19T01:10:11Z","title":"Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations","version":1},"cited_work":{"arxiv_id":"2312.11775","doi":"10.48550/arxiv.2312.11775","metadata_source":"pith","pith_arxiv_id":"2312.11775","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations","venue":"eess.IV","work_id":"40493b75-011d-429e-a849-3811a099215e","year":2023},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.172345Z"},"links":{"cited_paper":"/paper/2312.11775","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:1f1c4b936403eedbea1ca6ba0ed92c764a3141a8937b579b259958b0d4aadb39","observation_id":"663fa0df-46aa-41ff-9c3d-86468f62c9ab","resolution":{"observed_at":"2026-08-04T19:09:30.194504Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.07756","last_updated":"2024-05-05T18:44:14Z","snapshot_observed_at":"2026-07-06T13:00:53.618234Z","submitted_at":"2022-04-16T08:57:00Z","title":"Visual Attention Methods in Deep Learning: An In-Depth Survey","version":3},"cited_work":{"arxiv_id":"2204.07756","doi":"10.48550/arxiv.2204.07756","metadata_source":"pith","pith_arxiv_id":"2204.07756","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Visual Attention Methods in Deep Learning: An In-Depth Survey","venue":"cs.CV","work_id":"cbdbc153-518d-466a-bc6b-fec10dbf688f","year":2022},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.217079Z"},"links":{"cited_paper":"/paper/2204.07756","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:bcfc8687ac6d3678091ce24d5406df36aeb809b7fddf785001b4be5fa5d8474c","observation_id":"eb3f22b3-71c8-48c5-b4b1-18d818369da2","resolution":{"observed_at":"2026-08-04T19:09:29.890511Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:06:48.266350Z","title":"Medical Image Analysis36, 61–78 (Feb 2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.266350Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:560e3e2c40f2f82cd16a5e5d4e1401d58040b99e0345dab6ed67fd62eb299ed3","observation_id":"57b734d2-6c92-4df8-8101-7f32a38dfbd1","resolution":{"observed_at":"2026-08-04T19:06:48.266350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.01911","last_updated":"2017-08-06T17:10:38Z","snapshot_observed_at":"2026-07-06T05:54:16.759407Z","submitted_at":"2017-08-06T17:10:38Z","title":"Training of Deep Neural Networks based on Distance Measures using RMSProp","version":1},"cited_work":{"arxiv_id":"1708.01911","doi":"10.48550/arxiv.1708.01911","metadata_source":"pith","pith_arxiv_id":"1708.01911","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Training of Deep Neural Networks based on Distance Measures using RMSProp","venue":"cs.LG","work_id":"8e30c471-12c4-42df-bd78-f9e5b2f8f871","year":2017},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.292852Z"},"links":{"cited_paper":"/paper/1708.01911","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:6997e77359f0c923ee5ed0d978a70aa773b858b9f80c2094ec382859856e1196","observation_id":"8c1ec336-e2d4-4d14-9431-869cb693a102","resolution":{"observed_at":"2026-08-04T19:09:29.594376Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:06:48.357590Z","title":"NMR in Biomedicine37(7), e4992 (Jul 2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.357590Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:531c884c385f52e11ec9bf77683e013c3f1e774c00e97947f7366d511dd9aa23","observation_id":"c1237af5-a637-49c6-9df8-51e8c1059e96","resolution":{"observed_at":"2026-08-04T19:06:48.357590Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10278-020-00347-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"J Digit Imag- ing33(4), 903–915 (Aug 2020)","venue":"Journal of Digital Imaging","work_id":"05e926ba-aed5-4c7f-b5dc-6702fba37c1a","year":2020},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.402907Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:5b7af8fd71b451dbbfaac4b6553e2f3397bc08f6e9b132934839c3aa172cf04a","observation_id":"f3bae718-3481-4430-a65b-28d2c902e03b","resolution":{"observed_at":"2026-08-04T19:09:29.350561Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12913-023-09652-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BMC Health Serv Res23, 787 (Jul 2023)","venue":"BMC Health Services Research","work_id":"88f9e04b-26cb-4c96-a927-f08e48b808fb","year":2023},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.455264Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:d72b06ece41826dcee8fe90ff29dbf5579fe28462266e9cbbec9295b819e8b22","observation_id":"6e6f7732-37d4-4a5f-8583-831d883f5bbf","resolution":{"observed_at":"2026-08-04T19:09:29.130864Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:06:48.518912Z","title":"Sci Rep11, 10930 (May 2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.518912Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:f99d82fa084941f9f8bc287dafa3dcc2c419073f69bf98afe3c531ba221bf936","observation_id":"c25474c0-fdf3-4be7-9962-96b139542f74","resolution":{"observed_at":"2026-08-04T19:06:48.518912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01303","last_updated":"2024-01-02T17:30:45Z","snapshot_observed_at":"2026-07-06T17:10:52.289224Z","submitted_at":"2024-01-02T17:30:45Z","title":"Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images","version":1},"cited_work":{"arxiv_id":"2401.01303","doi":"10.48550/arxiv.2401.01303","metadata_source":"pith","pith_arxiv_id":"2401.01303","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images","venue":"eess.IV","work_id":"7fb32d21-541d-4913-960a-17777b44d3bb","year":2024},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.579427Z"},"links":{"cited_paper":"/paper/2401.01303","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:91c19c5ba27fffe0db950aec3a2353c38e1446ee20486d24daf28ed9ae4bc3e8","observation_id":"4a061e19-edff-4efa-96da-65c9d0216fb9","resolution":{"observed_at":"2026-08-04T19:09:28.902272Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jocs.2018.12.003","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Journal of Computational Sci- ence30, 174–182 (Jan 2019)","venue":"Journal of Computational Science","work_id":"f0cad5e6-3590-41f2-a856-7a095129598e","year":2019},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.639333Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:4ca47f8b584daf31adfb880fe8109a8b78101863c0af6d749c0efc5e038f7331","observation_id":"d623708a-9e08-48c5-9d6e-7186545c2fc9","resolution":{"observed_at":"2026-08-04T19:09:28.599284Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.05721","last_updated":"2017-06-18T20:35:27Z","snapshot_observed_at":"2026-07-06T05:47:18.831607Z","submitted_at":"2017-06-18T20:35:27Z","title":"Tversky loss function for image segmentation using 3D fully convolutional deep networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.05721","snapshot_observed_at":"2026-08-04T19:06:48.680956Z","title":"https://doi.org/10.48550/arXiv.1706.05721, http://arxiv.org/abs/1706.05721, arXiv:1706.05721 [cs]","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.680956Z"},"links":{"cited_paper":"/paper/1706.05721","citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:1e98096cec6cb0b92a0eac84bc02c824ed22efc178a19d8b56608c8bd2b7a6e2","observation_id":"cfedc502-10ae-430c-aee3-3f6cd8009df1","resolution":{"observed_at":"2026-08-04T19:06:48.680956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:06:48.730825Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.730825Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:07a772a9681b4ad65e3783a62c629af4009b21d22e37e38e2aa3fbb124fca64a","observation_id":"48ddeb4f-7976-4be2-8ea8-1cfb6433850b","resolution":{"observed_at":"2026-08-04T19:06:48.730825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:06:48.788653Z","title":"In: International Conference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T19:06:48.788653Z"},"links":{"citing_paper":"/paper/2509.09469"},"observation_digest":"sha256:1b1de2ae51a0a3962d421834de7ee5dc1db4456396a60264e75cde49da8bfd16","observation_id":"54bb8ef6-e447-4a58-89a6-ab771f924e23","resolution":{"observed_at":"2026-08-04T19:06:48.788653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.09469","last_updated":"2025-09-11T13:52:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T19:06:47.797683Z","submitted_at":"2025-09-11T13:52:47Z","title":"Resource-Efficient Glioma Segmentation on Sub-Saharan MRI"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":9,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":17},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"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."}