{"as_of":"2026-08-22T17:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:619d7c96b31e63f8b0c93429a1198372ccb367eec192ff21adcf6c769bc26ad1","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:43:36.718649Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2501.04734/citation-record","integrity":"/paper/2501.04734/integrity","json":"/paper/2501.04734/citation-record.json","paper":"/paper/2501.04734"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.19369","last_updated":"2023-05-30T19:20:38Z","snapshot_observed_at":"2026-08-21T16:04:10.778771Z","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":"2026-08-10T21:43:36.077933Z","title":"The brain tumor segmentation (brats) challenge 2023: Glioma segmentation in sub-saharan africa patient population (brats-africa)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.077933Z"},"links":{"cited_paper":"/paper/2305.19369","citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:b4ad5fb524e30620efa5c3ef2a50cf4e78c5870cf1c296994a36272915868470","observation_id":"7415f5f2-a9f1-4318-aa45-6cce76a0232b","resolution":{"observed_at":"2026-08-10T21:43:36.077933Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.958129Z","title":"A survey of mri-based brain tumor segmentation methods","venue":null,"work_id":"33d0a424-9bb4-4afc-91b7-a6ce031fbf1c","year":2014},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.086695Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:fc7ed67a193474131ae6e68b7cdff2ade84ef738f012cfdd36f3fbdbe6d4f2fd","observation_id":"b1aa66e8-7497-4b6b-a4db-a33eb87c9edb","resolution":{"observed_at":"2026-08-10T21:43:37.968118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.859411Z","title":"Brain tumor segmentation using an ensemble of 3d u-nets and overall survival prediction using radiomic features.Frontiers in computational neuroscience, 14:25, 2020","venue":null,"work_id":"ba196a49-7b7d-4eb9-88a8-6d46ba40654b","year":2020},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.097095Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:0dc6d240fc1ed3877232c6b3db49e37f6cec4b4a331f55b9a31e5cc723b7a629","observation_id":"96e70706-b302-44f4-bc2d-b5ffe5ba4619","resolution":{"observed_at":"2026-08-10T21:43:37.913696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.768363Z","title":"A framework for advancing sustainable magnetic resonance imaging access in africa.NMR in Biomedicine, 36(3):e4846, 2023","venue":null,"work_id":"b04cc5e2-aa3c-4213-a08e-2c2d184a59e2","year":2023},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.155782Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:105b1b0b66d52148e90a2f9bbf8dee997f73e3338c06b9aea2f3a156e09dff34","observation_id":"190ebc58-a41c-481a-ade0-87f79186befd","resolution":{"observed_at":"2026-08-10T21:43:37.822388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.737435Z","title":"Stroke lesion segmentation from low-quality and few-shot mris via similarity-weighted self-ensembling framework","venue":null,"work_id":"03ece949-da7a-428f-a307-653e80037456","year":2022},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.264875Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:9ef425b8da9313a3aecdd0bfaeee8f6f11c9b5e4c556830e13b36615494a6634","observation_id":"ee82c9eb-39db-430d-9c0a-4dceae364ae8","resolution":{"observed_at":"2026-08-10T21:43:37.745860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.700326Z","title":"Deep learning for low-field to high-field mr: image quality transfer with probabilistic decimation simulator","venue":null,"work_id":"e8c8ef7d-0704-4282-933a-4a4709591bff","year":2019},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.294740Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:06b4476e7d7044b72d744597a7b7224ff05664d5adfcbb2bb451562eb8dabffa","observation_id":"3b8debc7-22c0-48ba-a2da-5185bc7ffd6c","resolution":{"observed_at":"2026-08-10T21:43:37.715559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.650893Z","title":"Improving Image Quality In Low-Field MRI With Deep Learning.International Conference on Information Photonics, September 2021","venue":null,"work_id":"6a81f066-3842-4b64-a09f-06b1121c665d","year":2021},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.305256Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:b48e88886e42ca904d7fe35cb8d971e206c2209c770c88579d696597c9c8cd82","observation_id":"1b9fc6a4-a5ad-4320-9ea4-66ff43b3c1a5","resolution":{"observed_at":"2026-08-10T21:43:37.660145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09716","last_updated":"2019-09-20T20:58:45Z","snapshot_observed_at":"2026-08-20T03:40:12.552160Z","submitted_at":"2019-09-20T20:58:45Z","title":"Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data","version":1},"cited_work":{"arxiv_id":"1909.09716","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.09716","snapshot_observed_at":"2026-08-10T21:43:36.834864Z","title":"Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data","venue":"cs.CV","work_id":"18b25d03-81fd-45fb-9746-aa0f138a2dcc","year":2019},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.313290Z"},"links":{"cited_paper":"/paper/1909.09716","citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:342574aafc7ea3e07986829c4f29ae25c0b53190bc9b091935b0fadf1e86b286","observation_id":"86188f84-ede7-47a6-96e2-d1ace1660a06","resolution":{"observed_at":"2026-08-10T21:43:36.874332Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.571336Z","title":"Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation","venue":null,"work_id":"d86028a9-2cdd-4cdc-a0c2-b806a93e05b9","year":2022},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.399996Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:0ecf663f9d9236fbd289557451be1e2794d88bed21698d3a2acca86e5943130c","observation_id":"a0b4f84d-8f55-47ca-854b-a7012da3df7e","resolution":{"observed_at":"2026-08-10T21:43:37.628227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.456428Z","title":"Deep learning-based single image super-resolution for low-field mr brain images.Scientific Reports, 12(1):6362, 2022","venue":null,"work_id":"c42618a9-ae03-401b-91be-a3cb5a2894df","year":2022},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.488687Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:a93f577a813895f374d3e7f7d25a5d7a21ffc5dedacf0e0fb7ff7e5abe00267e","observation_id":"7e52e937-e86b-4d09-a6f6-ca13309812c4","resolution":{"observed_at":"2026-08-10T21:43:37.466695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.286126Z","title":"Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five african countries","venue":null,"work_id":"1f6fe05c-9927-40ea-b5f4-b2dc1c031055","year":2023},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.494396Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:af42162fdca7998971aff0d215c3a04f56c6fc90d870da9857257322fded614c","observation_id":"7550d29a-21bc-49a0-ac22-b32995a52067","resolution":{"observed_at":"2026-08-10T21:43:37.369715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.249998Z","title":"nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature Methods, 18(2):203–211, 2021","venue":null,"work_id":"c898c263-416f-4f51-9be8-f0953743dbe9","year":2021},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.508285Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:bdd6ed5fa4860d690dd86a263dc758a1c554e430ecc2972c58903ea7daa22fd8","observation_id":"d394e0a2-cbfb-4ead-8764-0a21ba8c95aa","resolution":{"observed_at":"2026-08-10T21:43:37.258313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.109331Z","title":"Brats continuous evaluation sub-challenge 2021","venue":null,"work_id":"1203420d-3f4e-4736-b594-0074336ab596","year":2021},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.515254Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:c24549c69571c180d3af61fe66602a23c45869da6f279a0e7f1d78334b40915a","observation_id":"c61c1031-1db7-4e78-a834-13f9e86deb84","resolution":{"observed_at":"2026-08-10T21:43:37.232441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:37.086461Z","title":"Optimized u-net for brain tumor segmentation","venue":null,"work_id":"ba083699-42f4-4409-9510-608b6a82185d","year":2021},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.624509Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:7a8342f340abb4d87a342fbf5b42b95dad8818417a302b54927fdd5e34a43b5f","observation_id":"3304f3f4-4322-4316-92cc-11f2698f4e3d","resolution":{"observed_at":"2026-08-10T21:43:37.093403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1508.06576","last_updated":"2015-09-02T08:24:59Z","snapshot_observed_at":"2026-08-15T14:12:52.299669Z","submitted_at":"2015-08-26T17:14:42Z","title":"A Neural Algorithm of Artistic Style","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.06576","snapshot_observed_at":"2026-08-10T21:43:36.709081Z","title":"Gatys, Alexander S","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.709081Z"},"links":{"cited_paper":"/paper/1508.06576","citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:b2a724054da0e9b14bd5929f0cb448262188bbef3970b8953a35bec7c654a601","observation_id":"8366c4a0-a5c7-4aab-82e1-202925005923","resolution":{"observed_at":"2026-08-10T21:43:36.709081Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:43:36.934957Z","title":"Very deep convolutional networks for large-scale image recognition","venue":null,"work_id":"0699c489-8d60-4361-b737-7f9cc255ae88","year":2015},"citing_paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T21:43:36.718649Z"},"links":{"citing_paper":"/paper/2501.04734"},"observation_digest":"sha256:74c3575a40e26d2d07426a6308f54889c71a906c8e2ce574a9e5d1cb10daf124","observation_id":"d8c9a8ee-375b-4a9e-b946-407881ebc73a","resolution":{"observed_at":"2026-08-10T21:43:37.039611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.04734","last_updated":"2025-01-07T19:48:30Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-18T10:55:30.425749Z","submitted_at":"2025-01-07T19:48:30Z","title":"Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":13},"total_outbound_references":16},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2501.04734."}