{"as_of":"2026-08-08T05:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c4ca4a9be7ee0ac9e8fd4d87298c5385fa42b877df758ec81678603a6ce7bdd2","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:44:51.088623Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2505.17683/citation-record","integrity":"/paper/2505.17683/integrity","json":"/paper/2505.17683/citation-record.json","paper":"/paper/2505.17683"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.06461","last_updated":"2023-02-13T15:41:20Z","snapshot_observed_at":"2026-07-06T14:51:19.104522Z","submitted_at":"2023-02-13T15:41:20Z","title":"A Study on ReLU and Softmax in Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06461","snapshot_observed_at":"2026-08-07T14:44:47.140211Z","title":"A study on ReLu and Softmax in transformer","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:47.140211Z"},"links":{"cited_paper":"/paper/2302.06461","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:47602f4817daa295dc480620f0d2712057dbbc72d043da127bab801d5007ccce","observation_id":"74b47ab9-1215-4f1e-b7a9-0bc71bac0c75","resolution":{"observed_at":"2026-08-07T14:44:47.140211Z","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":"2026-08-07T14:44:57.460863Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,","venue":null,"work_id":"46a85d02-cca3-4f87-ac96-54a27554e73a","year":2021},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:47.327449Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:e17545d6a89351e308fac329eabdabf926a6d1252496fa89dabb748c286b008e","observation_id":"d675d8be-38d2-4bc4-a9f9-23fab2009337","resolution":{"observed_at":"2026-08-07T14:44:57.568786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.07012","last_updated":"2021-10-06T14:04:59Z","snapshot_observed_at":"2026-08-01T20:50:32.439945Z","submitted_at":"2021-04-14T17:52:38Z","title":"Sparse Attention with Linear Units","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.07012","snapshot_observed_at":"2026-08-07T14:44:47.487054Z","title":"Medical Transformer: Gated Axial-Attention for Medical Image Seg- mentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:47.487054Z"},"links":{"cited_paper":"/paper/2104.07012","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:7b4a3ab2eb3c6956e3e9b075fa278a0a5743c8bb60a69603f29b385a805017c3","observation_id":"ad62977a-1cd7-4bab-8647-918ca966a4f4","resolution":{"observed_at":"2026-08-07T14:44:47.487054Z","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":"2026-08-07T14:44:57.084723Z","title":"UNet 3+: A Full-Scale Con- nected UNet for Medical Image Segmentation,","venue":null,"work_id":"b9f249a6-ddc8-48f7-8989-b085a81b425d","year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:47.613363Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:17f5935273092c43f35a8b3a62bc09e0974ba6f88e55ab114d8975acb5fed68a","observation_id":"bba92d16-d264-4898-9f1b-0483f5381b16","resolution":{"observed_at":"2026-08-07T14:44:57.255415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:56.870937Z","title":"A comparative study of pre-trained convolutional neural networks for se- mantic segmentation of breast tumors in ultra- sound,","venue":null,"work_id":"74b8ffdd-7299-46f5-bf3c-54a388cb1c1a","year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:47.738888Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:e25070aa0ab59f3d02dd6506df51d816f326c16d28e1b69d68e380e47011f823","observation_id":"9472474d-6f9c-4bbb-a545-037db93a4d11","resolution":{"observed_at":"2026-08-07T14:44:56.954131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:56.671002Z","title":"SegNet: A Deep Con- volutional Encoder-Decoder Architecture for Im- age Segmentation,","venue":null,"work_id":"9833180e-503a-413d-8514-04dbbf1b227b","year":2017},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:47.890446Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:fc075cccd213de73ebf50006922bac3cd304e010da27a201322c1076a6bc393c","observation_id":"6427bda2-45bb-4aff-86ff-c2574937b9c1","resolution":{"observed_at":"2026-08-07T14:44:56.770506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.03999","last_updated":"2018-05-20T23:33:30Z","snapshot_observed_at":"2026-07-06T06:32:53.966022Z","submitted_at":"2018-04-11T14:13:03Z","title":"Attention U-Net: Learning Where to Look for the Pancreas","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.03999","snapshot_observed_at":"2026-08-07T14:44:48.039348Z","title":"Attention U-Net: Learn- ing Where to Look for the Pancreas","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.039348Z"},"links":{"cited_paper":"/paper/1804.03999","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:0ef56e4ccd8ed763ed47244f7ab31851c6fc1585d3afca5a7a662c91373130b5","observation_id":"60fda836-6a5d-4b6f-8d36-e4271c87965a","resolution":{"observed_at":"2026-08-07T14:44:48.039348Z","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":"2026-08-07T14:44:56.496062Z","title":"Road Extraction by Deep Residual U-Net,","venue":null,"work_id":"f9cbf071-18c5-431d-bcd2-7ae58da2670d","year":2018},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.165018Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:aab7fb8627136f0c993f1d49b5b6babac0f5e07524a4004b3ef41ce20b5bdae9","observation_id":"c3ce3d3d-c1fe-4fee-a018-6f210f986d21","resolution":{"observed_at":"2026-08-07T14:44:56.566309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:56.265109Z","title":"Spatial and Channel Attention Modulated Network for Medical Image Segmen- tation,","venue":null,"work_id":"b97c9fa8-29ae-405b-9ac7-a95bc590a49a","year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.236908Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:90894dbfef2441521a8e9a3608af3eb4472176757666f7fab5f10c2d031ceb93","observation_id":"55b5f75e-e24e-45e4-8187-7ce77096cc45","resolution":{"observed_at":"2026-08-07T14:44:56.364426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:56.128255Z","title":"Squeeze-and-Excitation Net- works,","venue":null,"work_id":"fbab0971-150a-4caf-800b-5bcf177057ce","year":2018},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.329016Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:5ec11f148047d553ce09d67602211ff0e6d1f057b6f69da0fa55c6d41a04f91f","observation_id":"7fd8657c-2583-4728-b9ec-70bea1673b83","resolution":{"observed_at":"2026-08-07T14:44:56.203621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:55.955958Z","title":"GC-Net: Global Context Net- work for Medical Image Segmentation,","venue":null,"work_id":"79848ab6-eece-453f-bb78-20d07c664958","year":2019},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.422594Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:d113a69478966d733ccec890a1247eb9f34f519fcbf741a2f935b39872151bff","observation_id":"980a2d99-e5c7-43a7-ada2-c06231efbcec","resolution":{"observed_at":"2026-08-07T14:44:56.037248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:55.713082Z","title":"MDA-Unet: A Multi-Scale Di- lated Attention U-Net for Medical Image Seg- mentation,","venue":null,"work_id":"7a7ab902-276f-47ed-b1eb-6f04f53e1340","year":2022},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.517623Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:e0598f6c9359dcf28eec8a9dda9a1986d84271e33d7a54fb904e90f50dc85d62","observation_id":"38594d31-492d-410e-a26d-a11f680cac03","resolution":{"observed_at":"2026-08-07T14:44:55.829096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:55.565955Z","title":"FCPFNet: Feature Complementa- tion Network with Pyramid Fusion for Semantic Segmentation,","venue":null,"work_id":"3f8671c0-3fbc-4604-9b82-fecd0571a90b","year":2024},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.592155Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:a995c58415df606676f897f4d21b8ab4ce309c2757d858f3d655f1e6dbe65ca4","observation_id":"82f5c897-97cf-415c-b54d-c6e2ef005055","resolution":{"observed_at":"2026-08-07T14:44:55.632987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:55.416859Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation,","venue":null,"work_id":"5862a1ab-1e1f-43c0-9de1-9f5298751b0c","year":2015},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.690185Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:56b7b78a6d400262befd4601c80f8e7357a7cc7d0f76b059e32a82b506e28e19","observation_id":"a0d506cc-7893-4d1a-bfd9-e7b29aa01658","resolution":{"observed_at":"2026-08-07T14:44:55.468448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:55.267124Z","title":"UNet++: A Nested U-Net Ar- chitecture for Medical Image Segmentation,","venue":null,"work_id":"044debfc-bfc8-4bf5-941b-79a3947d71fb","year":2018},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.774933Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:dc041485500e932919d79d8fc553695d740f1813bda73f53fedd406ece018a1a","observation_id":"afd9c09a-c141-438b-b8f0-18a31d82ddd7","resolution":{"observed_at":"2026-08-07T14:44:55.315356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:55.079901Z","title":"V-Net: Fully Convolutional Neural Networks for Volumetric Medical Im- age Segmentation,","venue":null,"work_id":"10ad7075-4c7d-4b8c-8daa-b3f8e3324152","year":2016},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.846545Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:0a6edd1da7e0912daa4e9e2347c335d38819196e95c048a02412fa6aeacbc74f","observation_id":"a20a803c-af1d-4556-a579-bc05c8d1cca1","resolution":{"observed_at":"2026-08-07T14:44:55.167266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.07853","last_updated":"2020-08-06T18:09:32Z","snapshot_observed_at":"2026-07-06T09:05:23.015957Z","submitted_at":"2020-03-17T17:59:56Z","title":"Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.07853","snapshot_observed_at":"2026-08-07T14:44:48.963352Z","title":"Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:48.963352Z"},"links":{"cited_paper":"/paper/2003.07853","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:388e049ac423f55b44f245d6d6213a7d3da96b7e4a570aaa4fdf412c0dd2cf12","observation_id":"1659d5fb-8f49-438e-9411-e24990fa9030","resolution":{"observed_at":"2026-08-07T14:44:48.963352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.07703","last_updated":"2021-03-05T00:05:17Z","snapshot_observed_at":"2026-08-07T23:00:57.272653Z","submitted_at":"2020-02-18T16:33:22Z","title":"Deep Learning in Medical Ultrasound Image Segmentation: a Review","version":3},"cited_work":{"arxiv_id":"2002.07703","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.07703","snapshot_observed_at":"2026-08-07T14:44:51.318142Z","title":"Deep Learning in Medical Ultrasound Image Segmentation: a Review","venue":"eess.IV","work_id":"d6d05dee-5479-43d4-82c9-e3f335cae5de","year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.001975Z"},"links":{"cited_paper":"/paper/2002.07703","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:f26eef8c48869245b51f7a6383269ce76d2a7b9c0cbf75c068275c993a8bea00","observation_id":"a713d01b-f33a-403e-8d96-61952da918ca","resolution":{"observed_at":"2026-08-07T14:44:51.362147Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:54.879577Z","title":"Convolutional neu- ral networks in medical image understanding: a survey,","venue":null,"work_id":"2234a5c6-d3f3-4253-af38-38ffd7542086","year":2022},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.063276Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:72bd11d695c2978b4877b76acd756e44e51ebe41a78cb254d31bd4a9db4656d7","observation_id":"5f3e5c3a-fac2-4f5a-94d2-ae91e5fb848d","resolution":{"observed_at":"2026-08-07T14:44:54.973772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:54.643944Z","title":"MRL-Net: Multi-Scale Represen- tation Learning Network for COVID-19 Lung CT Image Segmentation,","venue":null,"work_id":"2f4267a0-fe9f-4fc8-b1cc-b8ed88197c59","year":2023},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.222237Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:6df4b9c8dcade144f2e2b7c186a2c5fa2ea7eee513b6385b8f3e16d49c15f33d","observation_id":"5c52407e-cdcc-4ad2-82d0-bbca3998bd84","resolution":{"observed_at":"2026-08-07T14:44:54.758330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:54.482273Z","title":"IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation,","venue":null,"work_id":"604fe057-8b27-4a25-83a1-511843340f8b","year":2024},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.317098Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:3fc347a2a384c2e3a706ebb9f980147f1c1154361645d143cd7b1b1fd7d7c3d2","observation_id":"ba64c2d3-28d6-45cd-aa2d-aea0f189c202","resolution":{"observed_at":"2026-08-07T14:44:54.568226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:54.321716Z","title":"IMAGDressing-v1: Customizable Virtual Dressing,","venue":null,"work_id":"c2ff1cf2-c09f-46fc-9654-31a7f698ab5a","year":2025},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.406633Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:ec478224e96f35fb10e4c53a5ea36fae6967e8b0c1ac89b3c5846e8b3d47cde5","observation_id":"a1d7e108-2be6-46db-9c83-ea112ddf8213","resolution":{"observed_at":"2026-08-07T14:44:54.370399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:54.169106Z","title":"A Deep Feature Selection Method for Tumor Classification in Breast Ul- trasound Images,","venue":null,"work_id":"3b9f8b6e-e47a-4240-a3ca-bc8688d6f204","year":2022},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.534731Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:e04296d9168c8c6498b5eb37eecbcb96ac44c54a6ca63e63090f0cc4d566d778","observation_id":"2160c1cd-3721-4840-adb3-a358804bbf04","resolution":{"observed_at":"2026-08-07T14:44:54.251149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:54.017871Z","title":"KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over- complete Representations,","venue":null,"work_id":"97835d5b-fe94-48b4-ae29-c7c4cea023bd","year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.658449Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:50e08833afa748b982d173b7677925f4098bef18cf6079bfae3f661b2bf79d13","observation_id":"86a682fc-0e39-4d9a-8063-f021390d32e3","resolution":{"observed_at":"2026-08-07T14:44:54.109434Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:53.807602Z","title":"DAU-Net: Dual attention- aided U-Net for segmenting tumor in breast ul- trasound images,","venue":null,"work_id":"46971689-0b8b-4c3a-8df0-cda8b9aabbea","year":2024},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.794058Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:eb368c38cce3a628df6bce2a35437669ee51ada147601bed1021ce25418fb8ce","observation_id":"465d6a56-498e-4835-8a1a-86f53f05aa25","resolution":{"observed_at":"2026-08-07T14:44:53.881286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:53.601124Z","title":"Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data,","venue":null,"work_id":"eca2f9b2-6c3f-44e9-b1cd-20bce5147ae3","year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.890501Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:4467be92b922cb4add68e27d758aa51bb67622c8ef116914e0a88b7c6ca84550","observation_id":"1008d956-9388-48e4-b814-ccaf9ce9cbd9","resolution":{"observed_at":"2026-08-07T14:44:53.691509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:53.388164Z","title":"Weighted Res-UNet for High- Quality Retina Vessel Segmentation,","venue":null,"work_id":"4db45585-6b37-4fbe-976c-accc7f9d8aea","year":2018},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:49.971665Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:8ce477b191c8ea3c5bad72ebaf066bd0b3c3040f23a7fbbed75c817125871daa","observation_id":"d0c3f71f-2f29-476e-8aca-20dc9518cfb9","resolution":{"observed_at":"2026-08-07T14:44:53.486182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:53.222119Z","title":"Attention-Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images,","venue":null,"work_id":"bf65ab23-786b-4a2e-a658-c4306e5c1716","year":2020},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.047089Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:d0cae591cacaff1bb6a216c02cb37dfd76cad1e3e9bcc69d25da0ed2f81da320","observation_id":"7e137a94-a3f1-4ede-8040-daef11e09558","resolution":{"observed_at":"2026-08-07T14:44:53.308218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:53.049868Z","title":"Automatic real-time CNN-based neonatal brain ventricles segmentation,","venue":null,"work_id":"fa502f52-3279-459a-b807-793f01958567","year":2018},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.126931Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:cdbb8a9a164cb4df7b1d07e6b027d29cff3c41710370aaf2f90cfe4eaacfffdd","observation_id":"d43579b5-d3d1-470a-b21d-da87bcad9e01","resolution":{"observed_at":"2026-08-07T14:44:53.133646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:52.961038Z","title":"Born Too soon: the global epi- demiology of 15 million preterm births,","venue":null,"work_id":"c960612a-12e4-4265-84ba-397602d9ebca","year":2013},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.206294Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:cadaca844edf760273fcbaa9f72d3a749f5520c95a15cef934b97d3322ff34ff","observation_id":"c4604536-1727-42f4-af65-8bc40178f599","resolution":{"observed_at":"2026-08-07T14:44:53.004424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:52.788153Z","title":"AAU-net: An Adaptive At- tention U-net for Breast Lesions Segmentation in Ultrasound Images,","venue":null,"work_id":"24c68e6d-a86e-4483-98cb-50c0b03a2289","year":2022},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.268044Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:47671a308e929d2c2f879f757c72071bef26d714900e4848008004d3d720992c","observation_id":"24f72682-886a-4116-9465-95d5ae392925","resolution":{"observed_at":"2026-08-07T14:44:52.868620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:52.634660Z","title":"CBAM: Convolutional Block At- tention Module,","venue":null,"work_id":"e384a97c-79f4-4b3c-8af7-28a7ea4bd822","year":2018},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.335168Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:5c14c6d6f21ab112de719571abfd797d7dca3fbdbeec20fe8e6b10270027b9ec","observation_id":"6e944160-4734-4261-9e9b-e67d01f47365","resolution":{"observed_at":"2026-08-07T14:44:52.709449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:52.440065Z","title":"An improved resnet algorithm based on cbam,","venue":null,"work_id":"e0eee72e-7a91-4195-9259-a681cedebdb3","year":2021},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.422177Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:7f3d7283c67162f50339ca2d5f5f89ac5339ddc292e11ae64e7179555013f987","observation_id":"2fcf63cc-fd45-41d6-b592-8b6cb08bd9b2","resolution":{"observed_at":"2026-08-07T14:44:52.503809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:52.288351Z","title":"Neonatal posthemorrhagic hydrocephalus from prematurity: Pathophysiol- ogy and current treatment concepts: A review,","venue":null,"work_id":"af384873-c83a-48ee-847d-6259de7c3961","year":2012},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.497520Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:64b5d88fe24ae9b0d4dd0a6c45e1975e14819e87433314d1e8eda0d4e41e778a","observation_id":"82554944-c4bb-49b7-bf26-5799485f6134","resolution":{"observed_at":"2026-08-07T14:44:52.362568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:52.174162Z","title":"Adapt or Perish: Adap- tive Sparse Transformer with Attentive Feature Refinement for Image Restoration,","venue":null,"work_id":"96a186f0-3b9e-4d9c-abd7-f5077e5d4aa5","year":2024},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.582198Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:b3155860737903234035be78ccf2886763ffc5d7d0926b60292f11d241621292","observation_id":"1be49203-8f3d-4092-a6d3-3819d3a45393","resolution":{"observed_at":"2026-08-07T14:44:52.222833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13176","last_updated":"2025-09-08T12:05:58Z","snapshot_observed_at":"2026-08-07T16:01:20.626786Z","submitted_at":"2025-04-17T17:59:47Z","title":"IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.13176","snapshot_observed_at":"2026-08-07T14:44:50.661140Z","title":"IMAGGarment-1: Fine-Grained Gar- ment Generation for Controllable Fashion De- sign,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.661140Z"},"links":{"cited_paper":"/paper/2504.13176","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:f092ffe8c6151e946d7dae981c23bbd89a31f0ef10966fa491291d2abe5d22f3","observation_id":"f536f5f9-f603-4487-b690-d1495c7e607d","resolution":{"observed_at":"2026-08-07T14:44:50.661140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09533","last_updated":"2025-02-13T17:50:23Z","snapshot_observed_at":"2026-08-07T22:10:29.240376Z","submitted_at":"2025-02-13T17:50:23Z","title":"Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09533","snapshot_observed_at":"2026-08-07T14:44:50.717732Z","title":"Long-Term TalkingFace Generation via Motion-Prior Conditional Diffu- sion Model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.717732Z"},"links":{"cited_paper":"/paper/2502.09533","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:8da2aab551b539b2d315a0e968a49080a7f817deef3ee99831557875090cf023","observation_id":"8e983138-1c63-4ddb-9ceb-a484a72e6334","resolution":{"observed_at":"2026-08-07T14:44:50.717732Z","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":"2026-08-07T14:44:52.032248Z","title":"A Bag of Tricks for Fine-Grained Roof Extrac- tion,","venue":null,"work_id":"7f382075-c0b0-42c9-ba52-0caeaa2b4a3a","year":2023},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.796127Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:6442c74cd14439217e23761bbe0cb18abbe8c9a89fcb0d3d53e1e807d6c5dbad","observation_id":"0dd684f7-4c8d-4a88-8e45-65ae0f3ba2d8","resolution":{"observed_at":"2026-08-07T14:44:52.098795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:51.887578Z","title":"Enhancing Land- slide Segmentation with Guide Attention Mech- anism and Fast Fourier Transformer,","venue":null,"work_id":"c6d4b067-270d-47b7-84ad-97f5eeccd81a","year":2024},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.880037Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:f11add3f3af37d765e0e53a48c13d59bc90bf1dd1dc6a20004c78873642e2e2d","observation_id":"d849a8dc-0ebd-49c3-ac53-24230e20b1d0","resolution":{"observed_at":"2026-08-07T14:44:51.935321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06313","last_updated":"2024-11-21T12:06:59Z","snapshot_observed_at":"2026-08-07T23:07:48.143262Z","submitted_at":"2023-10-10T05:13:17Z","title":"Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06313","snapshot_observed_at":"2026-08-07T14:44:50.949423Z","title":"Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:50.949423Z"},"links":{"cited_paper":"/paper/2310.06313","citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:83a363a2d6c4ab100bc5d58cd68730ca697cb4c69fcab94421402d32fd9a71c4","observation_id":"7251d311-ded6-48c0-b50b-1b412ce8e50c","resolution":{"observed_at":"2026-08-07T14:44:50.949423Z","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":"2026-08-07T14:44:51.771698Z","title":"Classifying Breast Cancer Histopathological Images Using a Robust Artifi- cial Neural Network Architecture,","venue":null,"work_id":"a5694bca-7ffc-47c2-9cba-21b421158b1d","year":2019},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:51.026328Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:a306633a479ac8ad684ba34692eacc3fc8216bd4dfa8e5608fac7c8eae3b8b6b","observation_id":"c3f0e9f3-7980-44c9-92a0-7d3dea495353","resolution":{"observed_at":"2026-08-07T14:44:51.807383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T14:44:51.626039Z","title":"Multiscale U-Net with Spatial Po- sitional Attention for Retinal Vessel Segmenta- tion,","venue":null,"work_id":"81dbbe62-9c04-4a28-b123-8df18c65d1e3","year":2022},"citing_paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:51.088623Z"},"links":{"citing_paper":"/paper/2505.17683"},"observation_digest":"sha256:1fa0eb42956c4856e7c8f9152ff89c5f7aead695933eb18ef3a1d88fe93c0ffb","observation_id":"5a265c24-7004-4e3c-a24c-17cd68debe47","resolution":{"observed_at":"2026-08-07T14:44:51.686836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.17683","last_updated":"2025-06-10T04:20:37Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-07T14:40:22.225692Z","submitted_at":"2025-05-23T09:53:57Z","title":"Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":1,"verified_fuzzy":34},"total_outbound_references":42},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.17683."}