{"as_of":"2026-08-23T03:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:35ebde2aca3cc6e85f44ad374e848f107f471c5abb6305b7b7af7500919148aa","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:41:49.881396Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T13:53:47.446836Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T18:16:17.926450Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"cited_work":{"arxiv_id":"2411.14017","doi":"10.48550/arxiv.2411.14017","metadata_source":"pith","pith_arxiv_id":"2411.14017","snapshot_observed_at":"2026-08-10T18:16:17.926450Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","venue":"eess.IV","work_id":"b3e6b334-46a8-4e29-bf3f-1153cdf33453","year":2024},"citing_paper":{"arxiv_id":"2501.15994","last_updated":"2025-01-27T12:29:19Z","snapshot_observed_at":"2026-08-16T14:19:13.251696Z","submitted_at":"2025-01-27T12:29:19Z","title":"Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T13:53:47.446836Z"},"links":{"cited_paper":"/paper/2411.14017","citing_paper":"/paper/2501.15994"},"observation_digest":"sha256:7fcab5d9655cf4e36e08e522adb6b08902c3251c0accb22eaea0d06b88a3f86e","observation_id":"de7e8cd7-67f5-490f-a70a-740582c813f7","resolution":{"observed_at":"2026-08-10T13:53:47.642768Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2411.14017/citation-record","integrity":"/paper/2411.14017/integrity","json":"/paper/2411.14017/citation-record.json","paper":"/paper/2411.14017"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s12094-017-1631-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-20T11:03:42.707129Z","title":"Clinical and Translational Oncology 19(8):931–944","venue":"Clinical & Translational Oncology","work_id":"f5bf7b77-fa37-43ee-be69-065ece01f356","year":2017},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.813639Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:e5008b06293ee7018b919b59c2e0ab0f2d2ef5ec608e58ae011c34bcbe7cadd6","observation_id":"8c8a9db1-96a7-4e5f-a3cf-47ca1f63143a","resolution":{"observed_at":"2026-08-12T15:41:49.989399Z","resolver_source":"doi","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":"9175.14826","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:50.210496Z","title":"Advanced Biomedical Research 4:4","venue":null,"work_id":"c4669ff1-904f-4a58-ada3-d93bb34aa0b1","year":2015},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.817999Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:3943256795d801f1cd1172857697c07659a39bde71738b9cc0a8d91be6a1908c","observation_id":"ea5011e5-5436-4dc5-906a-98ba98a787d3","resolution":{"observed_at":"2026-08-12T15:41:50.214726Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.821006Z","title":"Neurosurgery 62(4):753","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.821006Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:bc7ffa220e0eaed49085ca94565d193d9d700b3adc1fef980e64da950745e553","observation_id":"9de0c0c5-10db-4e70-9716-32cf49cc2a52","resolution":{"observed_at":"2026-08-12T15:41:49.821006Z","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":"10.1111/jon.12382","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.978204Z","title":"Journal of Neuroimaging 27(1):5–15","venue":null,"work_id":"94dd07bc-8b3a-4a83-b4a7-d5b58b8cd70e","year":2017},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.824234Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:394dfc9b4c75c19b931c852f442ffd35dc071961d6175466836f2e6d305d2b13","observation_id":"fb4dbbaf-8068-4a49-962a-b552e9eb9074","resolution":{"observed_at":"2026-08-12T15:41:49.980998Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.827713Z","title":"Journal of Neuro-Oncology 167(3):387–396","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.827713Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:25fe833752c88ff340b5cf697ae6c5df33e77ffa5472e1186a1b73cffa84c2d6","observation_id":"1f880ef2-551e-48e7-a764-d2642b152f69","resolution":{"observed_at":"2026-08-12T15:41:49.827713Z","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":"2026-08-12T15:41:50.280061Z","title":"phdthesis, Universit´ e Grenoble Alpes [2020-....] ; Vanderbilt university (Nashville, Tennessee)","venue":null,"work_id":"548c9240-a696-47d0-b4d3-f1344babffcf","year":2021},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.830730Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:ea92b71588a709f476d942babd5f6257c1836632cb46eb236f892482c817bf39","observation_id":"90d2e24b-281d-4977-9aaa-68749962fef0","resolution":{"observed_at":"2026-08-12T15:41:50.283118Z","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":"10.1007/978-3-031-27324-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-13T11:03:48.094449Z","title":"Springer Nature Switzerland, Cham, https://doi.org/10.1007/978-3-031-27324-7","venue":"Lecture notes in computer science","work_id":"44293d4e-f78c-4610-ab3f-af0b8495cfc2","year":2023},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.833959Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:37999db4ea8f358030a30d4f80346a3ef1dfe10a595d92f31d9fbc464b589ba0","observation_id":"80c92ae5-78de-4858-b801-cb6dbf0f3891","resolution":{"observed_at":"2026-08-12T15:41:49.968091Z","resolver_source":"doi","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":"2026-08-12T15:41:50.271968Z","title":"In: Xiao Y, Yang G, Song S (eds) Lesion Segmen- tation in Surgical and Diagnostic Applications","venue":null,"work_id":"89ecb01b-a205-47ad-a4ab-2a18cbe092a9","year":2023},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.836772Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:8a524b59d6eaa2ecbac7964ea4a9d4d2a4b5c3a4d5681b0118e1cea413f2638d","observation_id":"fc0996ad-3718-4d97-92cc-eeefae3e64d8","resolution":{"observed_at":"2026-08-12T15:41:50.274833Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.839423Z","title":"Medical Physics 44(7):3875–3882","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.839423Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:8d0c570026ac43bd48d9a460d767bb32d0b1189991150820e4b73a84bcea2e28","observation_id":"0d4e955e-63d1-4a0f-bd15-c3a5940708b8","resolution":{"observed_at":"2026-08-12T15:41:49.839423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.07494","last_updated":"2022-07-13T05:53:30Z","snapshot_observed_at":"2026-08-17T07:54:04.004561Z","submitted_at":"2022-07-13T05:53:30Z","title":"RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.07494","snapshot_observed_at":"2026-08-12T15:41:49.842287Z","title":"https://doi.org/10.48550/ arXiv.2207.07494, arXiv:2207.07494 [physics]","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.842287Z"},"links":{"cited_paper":"/paper/2207.07494","citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:c3283454f8bc5a5b1a488111d235ad8c19a1fa71742daf61e5717e1628b818d4","observation_id":"a9683322-8bc3-45a9-85d5-936b721ef591","resolution":{"observed_at":"2026-08-12T15:41:49.842287Z","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":"2026-08-12T15:41:50.263187Z","title":"Medical Image Computing and Computer Assisted Intervention – MICCAI 2024","venue":null,"work_id":"dff84359-300a-4ddb-88cc-5986fa6ab417","year":2024},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.845652Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:954a1419a6e827da34e837891f305b9f206448256f823456b0ae1f219a9df8f6","observation_id":"b2c79ecd-21cb-4ad0-884c-93fa35bd8799","resolution":{"observed_at":"2026-08-12T15:41:50.266662Z","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":"10.1101/2023.09.14.23295596","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.944620Z","title":"https://doi.org/10.1101/2023.09.14.23295596, pages: 2023.09.14.23295596","venue":null,"work_id":"2c1c4d70-8958-4184-8697-8464f23c03ff","year":2023},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.848355Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:13018ab3b9ceacc41c61ba78ebd7a639009fac6f11624ef13f75f62fb6f1e954","observation_id":"d9cfe457-1682-42f7-be91-1fbf0d6628e1","resolution":{"observed_at":"2026-08-12T15:41:49.947545Z","resolver_source":"doi","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":"10.1038/s41598-023-42048-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.936467Z","title":"Scientific Reports 13(1):15570","venue":null,"work_id":"1e219cc9-e253-4793-bc8b-0437a6bb8385","year":2023},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.851407Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:bdb542f1e0dea7b9cde982cf67e8975bf7e08f3d1e81d1a8e0699ee863c0c64d","observation_id":"a0db5a2f-65c3-4a4e-91fa-459b4af14946","resolution":{"observed_at":"2026-08-12T15:41:49.939263Z","resolver_source":"doi","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":"2026-08-12T15:41:50.254587Z","title":"https://curious2022.grand-challenge.org/","venue":null,"work_id":"249e0500-6179-4d9c-a45d-0cb3e81c8486","year":2022},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.854286Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:afa0337104942a23c7653b1033eb5983c02ea16bdae8fdb80e434ec76d7743d1","observation_id":"0b2bb477-06b9-4636-bca9-075dc1ec68e7","resolution":{"observed_at":"2026-08-12T15:41:50.257801Z","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":"2026-08-12T15:41:50.246184Z","title":"Neurosurgery 47(6):1373–1379; discussion 1379–1380","venue":null,"work_id":"e1576674-b7b0-41e3-941b-9223a4ae0cef","year":2000},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.856998Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:b6b80fbea9fe71ec25bca5f05ea5039e0fa6b7c7c1bfdcf40883bc935d84dc76","observation_id":"04dbe32f-107f-4c15-9d53-1aa5016e31cd","resolution":{"observed_at":"2026-08-12T15:41:50.249159Z","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":"10.1007/s11548-015-1292-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-20T11:03:42.707129Z","title":"International Journal of Computer Assisted Radiology and Surgery 11(4):505–519","venue":"International Journal of Computer Assisted Radiology and Surgery","work_id":"90700e1f-05e5-4406-9f69-23d660176709","year":2016},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.859677Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:d43740d0079b60bc82c7c2572a770c56bb97118d11ea067b5a2d1023df0d000a","observation_id":"0f54c3ae-a4dc-40d5-a84f-644fb2f27c65","resolution":{"observed_at":"2026-08-12T15:41:49.931103Z","resolver_source":"doi","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":"2026-08-12T15:41:50.238120Z","title":"https://www.kreftregisteret.no/en/The-Registries/clinical-registries/ Quality-registry-for-brain-tumours/","venue":null,"work_id":"37a0e4b2-ed43-405b-b80f-3fc33c3ad332","year":2023},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.862433Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:be3e161bcd66a3319e28def2b1d98d7fa6087fef2a956a6bd8535f9aca33e3e7","observation_id":"f76fc7df-c7af-46dc-b322-bd610dbcf5f4","resolution":{"observed_at":"2026-08-12T15:41:50.240903Z","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":"2026-08-12T15:41:50.229664Z","title":"https://www.imfusion.com/ products/imfusion-suite","venue":null,"work_id":"35937937-5cd0-472e-9124-945b2544d748","year":2018},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.865035Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:a4963f7f8730672c913dab6f32075ecc30e07c007fb1a3373337e86f24d755c2","observation_id":"2c86b278-0345-4cc7-bb93-98b01c67ec64","resolution":{"observed_at":"2026-08-12T15:41:50.232716Z","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":"10.1007/978-3-030-72087-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-13T11:03:48.094449Z","title":"In: Crimi A, Bakas S (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","venue":"Lecture notes in computer science","work_id":"1e62b51b-6474-4fe9-a308-68214b892c3c","year":2021},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.867598Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:831ce8c5dfc1bc27594156c9073fbeffb1161fd2b595b22d9eedbc9ecd628a6b","observation_id":"eed56a53-00a9-42b2-8d6a-2dafe94f41ce","resolution":{"observed_at":"2026-08-12T15:41:49.921468Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.870447Z","title":"Magnetic Resonance Imaging 30(9):1323–1341","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.870447Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:70c8798dda441b653fcef81efc4dfc02a095be971979b59decb67980d5f105b4","observation_id":"574ae9c5-926d-4978-978e-500b8a7db841","resolution":{"observed_at":"2026-08-12T15:41:49.870447Z","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":"2026-08-12T15:41:49.873360Z","title":"Routledge, https://doi.org/https://doi.org/10.4324/9780203771587 13","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.873360Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:999992cf6eec2e78761389eddbc3ce440bf004a012fcbf94c614af1cfa58c533","observation_id":"ba796168-9ee1-45f6-9a96-3d2b57f58663","resolution":{"observed_at":"2026-08-12T15:41:49.873360Z","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":"10.56801/10.56801/v8.i.452","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.898907Z","title":"Journal of Modern Applied Statistical Methods https://doi.org/https://doi.org/10.56801/10.56801/v8.i.452","venue":null,"work_id":"13c84802-eba2-4205-8bcd-753184f9b16c","year":2009},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.876127Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:28a89711c4ec350e1fb136439af9ca0a210adfe6b0c6301108019919f5cc3bb8","observation_id":"d4ce7a7c-4a07-499d-8c3f-dfc85c347082","resolution":{"observed_at":"2026-08-12T15:41:49.903081Z","resolver_source":"doi","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:41:49.878783Z","title":"Medical Image Analysis 96:103202","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.878783Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:8a6c69b7dd5c780174ed498d2de460e8bd0c4d3aded54a6fe1a58bb2d108ce95","observation_id":"c719b49a-f14a-4f83-b753-140fa7363a48","resolution":{"observed_at":"2026-08-12T15:41:49.878783Z","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":"2026-08-12T15:41:50.219998Z","title":"Acta Neurochirurgica 166(1):317","venue":null,"work_id":"4e72abfb-db26-4b5a-834a-384b0844af8a","year":2024},"citing_paper":{"arxiv_id":"2411.14017","last_updated":"2025-08-15T09:21:53Z","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:41:49.881396Z"},"links":{"citing_paper":"/paper/2411.14017"},"observation_digest":"sha256:4475419145b71a71d82a82327f3a4a859d1c74591cf4e9df1506f9146b6f359d","observation_id":"f8c97301-bbcf-4073-8efe-a1c1e3db5ef6","resolution":{"observed_at":"2026-08-12T15:41:50.222956Z","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":"2411.14017","last_updated":"2025-08-15T09:21:53Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T01:02:54.974145Z","submitted_at":"2024-11-21T11:01:03Z","title":"Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":7,"verified_exact":8,"verified_fuzzy":7},"total_outbound_references":24},"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 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2411.14017."}