{"as_of":"2026-08-12T20:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f5088da2b0740c97b2546c93d7c4947320182e0f3769ca6642da8943a7019180","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:17:21.074898Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2507.00660/citation-record","integrity":"/paper/2507.00660/integrity","json":"/paper/2507.00660/citation-record.json","paper":"/paper/2507.00660"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:17:28.796033Z","title":"Medical Image Analysis 80, 102513 (2022)","venue":null,"work_id":"44f37a74-1e08-440b-97a4-7c612f4ec2ea","year":2022},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:17.480208Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:716f2f453824950d5f71607af5bf741db2959740acb17e846988efec922582ec","observation_id":"d1a04b08-952f-4f4f-9fe1-c92e015f1ab9","resolution":{"observed_at":"2026-08-06T21:17:28.936755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:28.478504Z","title":"IEEE TMI: Trans- actions on Medical Imaging 38, 1788–1800 (2019)","venue":null,"work_id":"a2e20c5e-cdc3-4152-a354-c270f5d74aa4","year":2019},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:17.641437Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:d53e09993eac93eabbff0477fcaee58eb00b1d847c97db6f7926dd5964781092","observation_id":"b290d417-c780-4f87-a855-c939c1fefa94","resolution":{"observed_at":"2026-08-06T21:17:28.597619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:28.220029Z","title":"In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part V 24","venue":null,"work_id":"4f265140-024b-4c6c-b537-f4476a7fc6d3","year":2021},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:17.784748Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:7f30d6b726fdb3bc5db262321177adbeda1cc0c78c3c417778eda574dedd39ce","observation_id":"e31529b1-e131-404f-8663-205a0de81e42","resolution":{"observed_at":"2026-08-06T21:17:28.324726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:27.834024Z","title":"NeuroImage 47(1), 122–135 (2009)","venue":null,"work_id":"def41577-989e-4fd8-afd5-ec35a16e7083","year":2009},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:17.904544Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:23a8b54ca78c7f9516afced58ac062acba587c951cc841bb9ee7b97360b8250b","observation_id":"cf2a7f8d-7371-4e1d-a405-8115b487b212","resolution":{"observed_at":"2026-08-06T21:17:28.046568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:27.494838Z","title":"Biomedical Signal Processing and Control 79, 104166 (2023)","venue":null,"work_id":"c000841b-ba6a-4f42-9ae5-aef7e947c264","year":2023},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.020455Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:ec4549d76d3b0c4993c494a5d91ce7a14f7c04998c5c8b8845a96c184214b711","observation_id":"19244f4e-7465-4432-a43e-694ee642bed2","resolution":{"observed_at":"2026-08-06T21:17:27.640061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:27.237836Z","title":"JACC: Cardiovascular Imaging 11(4), 628–643 (2018) 10 R.Chen et al","venue":null,"work_id":"7086f275-d231-4ef4-951b-3e833646bede","year":2018},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.123765Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:96a9f4527941ba817f2485d01bdc6e014569efc2eb16e4f9a6fac3f4dca6c4a2","observation_id":"e8256493-c14c-4acc-bf66-6b614eba708c","resolution":{"observed_at":"2026-08-06T21:17:27.368193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:26.924747Z","title":"Computers in Biology and Medicine 165, 107368 (2023)","venue":null,"work_id":"968b45da-ad2c-4d37-b17a-9bc5a8ac575d","year":2023},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.215008Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:5017c0de55d7e055509e1019729af20a694a6765d96ef8e4ebc36eac2206644b","observation_id":"b14bf80a-ab35-4454-a380-95d7411fdca1","resolution":{"observed_at":"2026-08-06T21:17:27.069927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:26.624732Z","title":"Medical Image Analysis 102, 103552 (2025)","venue":null,"work_id":"fd0f3857-f61a-4a0e-bc40-e53ea761002e","year":2025},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.294649Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:3c4fad97376f5dde91acc89182db7cb0525e8341efdcd656d8121d18e4f94ee3","observation_id":"b2dec2c4-d1d3-4dc1-97ed-88d3c8d15457","resolution":{"observed_at":"2026-08-06T21:17:26.715803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:18.435840Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.435840Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:0cd6a5fd3792bc25004abf2c96ad1016135598b049bbae3c6d033e54a8eab31e","observation_id":"402cbe2c-5138-4615-b5df-a501b10cab1f","resolution":{"observed_at":"2026-08-06T21:17:18.435840Z","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":"2026-08-06T21:17:18.594811Z","title":"Nature methods 18(2), 203–211 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.594811Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:d37a74d785d1081519b1bc02e3e675038560341f6d4945eff66d31b3a453322b","observation_id":"74b0d097-dcb6-45bf-bba3-5858dc6b97d2","resolution":{"observed_at":"2026-08-06T21:17:18.594811Z","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":"2026-08-06T21:17:26.137476Z","title":"Computers in Biology and Medicine 182, 109154 (2024)","venue":null,"work_id":"3d2cbc10-3d33-4706-941c-f57036894e35","year":2024},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.725035Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:ab1476ade78c4f501ea4e2ede2aa673596dc5570700d5432a79dcf58a5f131e5","observation_id":"547880b7-c569-4d58-8e7c-a9ad4d8af949","resolution":{"observed_at":"2026-08-06T21:17:26.234746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:25.952228Z","title":null,"venue":null,"work_id":"bebc8783-2996-42ae-8176-28ce2d6d5de9","year":2020},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.850694Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:744c851e0e8b65fa36daffd698e355bd9ff92217d2b038ac1fe9d518c86b0ddb","observation_id":"16d7082f-b9ab-4191-aab2-9ce1904d21e0","resolution":{"observed_at":"2026-08-06T21:17:25.998458Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15588","last_updated":"2025-01-26T16:30:30Z","snapshot_observed_at":"2026-08-10T23:52:16.410576Z","submitted_at":"2025-01-26T16:30:30Z","title":"Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge","version":1},"cited_work":{"arxiv_id":"2501.15588","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15588","snapshot_observed_at":"2026-08-06T21:17:21.354747Z","title":"Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge","venue":"eess.IV","work_id":"53ea0207-118c-4c2d-83b3-6bf3ae8ca18e","year":2025},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:18.974753Z"},"links":{"cited_paper":"/paper/2501.15588","citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:535c8fdab114d04ae3fcb06d754e4e884d6762b6fae94f660619516bd4bfcd94","observation_id":"19c9b7c4-3aa3-4910-8eb0-ac24902f50c6","resolution":{"observed_at":"2026-08-06T21:17:21.565176Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:25.754159Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":"c2e00c9a-f423-4cbb-be91-76f593835155","year":2021},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.072643Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:064c5722dd73812706ca222c85833fb6bc83b8c3ee839c865fa96b91146ad7ab","observation_id":"cd137ab6-019b-452d-a9cb-c90ed0402351","resolution":{"observed_at":"2026-08-06T21:17:25.843501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:25.524753Z","title":null,"venue":null,"work_id":"b1294d56-5a2c-43ef-9c83-8b12dcfa4e97","year":1998},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.203618Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:99326fd2e63b07ebd5a539be2fb506af18b60f655b25971badc37f08c35c0f49","observation_id":"b3e79bfb-0d09-4829-9a4b-e009353cb115","resolution":{"observed_at":"2026-08-06T21:17:25.609415Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:25.264891Z","title":"European heart journal 42(36), 3599– 3726 (2021)","venue":null,"work_id":"ce762cd1-73f8-4356-85d4-6404b9b985a8","year":2021},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.352437Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:48796819d69e048f33076487b56fb80826d63af66912f25db9e7b39f0f7acd35","observation_id":"c67cf785-ea96-4ccc-a1d7-ff9a4802a787","resolution":{"observed_at":"2026-08-06T21:17:25.335898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:24.964736Z","title":"IEEE Access (2024)","venue":null,"work_id":"8f935fcf-dc0b-4c02-8fb7-ecaead690da1","year":2024},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.464847Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:9f2c6aa01ac9b5ad2017c39a2d7e19afa0e5e70ff58da514d37eb84235023582","observation_id":"81ce4689-eb62-45d2-9b09-e6e3e54df202","resolution":{"observed_at":"2026-08-06T21:17:25.125094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:24.734745Z","title":"Medical & Biological Engineering & Computing pp","venue":null,"work_id":"b0a8955b-0224-4abf-bef4-43a8afaa06c2","year":2025},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.564829Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:380be8fdb0e3bd90077e73ff5df14e5ea7a33dbbaa4f48072e5b35de3f59d175","observation_id":"ac078a7a-c941-43db-aa8d-7f1d0731c036","resolution":{"observed_at":"2026-08-06T21:17:24.796023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:19.727233Z","title":"In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.727233Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:473219e6d4f70bf4127361a1ec865e03441f4ee3717ac6c50ef89a3e9bebc946","observation_id":"e139e930-e575-4bde-9548-269eb7c37d64","resolution":{"observed_at":"2026-08-06T21:17:19.727233Z","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":"2026-08-06T21:17:24.302429Z","title":"Advances in neural information processing systems 30 (2017)","venue":null,"work_id":"1965f82e-43b4-48ef-8df4-99584fbdb3a5","year":2017},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:19.894953Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:e9ab3448afbb0a6490c48c535354f2c3453c8437d8a7c4c3d59c1f368fb586a4","observation_id":"f4b4fb20-0413-4c0f-92e0-7290ebcd2558","resolution":{"observed_at":"2026-08-06T21:17:24.450809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:23.931599Z","title":"Advances in neural information processing systems 30 (2017) Mitral Valve Segmentation in 4D Ultrasound 11","venue":null,"work_id":"2e6c82e4-24c7-4fb2-823f-d5fe94dea6d7","year":2017},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:20.077647Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:2aac0c17ce564807e785cf36d4f8f7213cbdda610cfec32c2e855b3d0780be50","observation_id":"c43570e9-a6b1-451f-95a6-876b9441428e","resolution":{"observed_at":"2026-08-06T21:17:24.144866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:23.618012Z","title":"European heart journal 43(7), 561–632 (2022)","venue":null,"work_id":"9ff13e7a-14b4-4ea8-8d16-fd53181a9923","year":2022},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:20.190300Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:051609609818ec7c6bbb65daecd877982c96e498601817bd6a8cf6c806269434","observation_id":"b19cf6fe-2795-4012-b1d6-ed946d948f5e","resolution":{"observed_at":"2026-08-06T21:17:23.753933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:23.224625Z","title":"Neural Networks 145, 90–106 (2022)","venue":null,"work_id":"fddd2a80-1e7f-453a-93d3-e3d8e27a2022","year":2022},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:20.294972Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:ade29f0eb63193f83d938b8d2dd3a99da3874ec6289dbe57e3e5afd2855d6dac","observation_id":"2bc54ae3-1739-4e7e-8739-3b08a8f060e2","resolution":{"observed_at":"2026-08-06T21:17:23.359788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:22.967177Z","title":"In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"fdd5cb8e-0ac3-4a5d-adfa-06c9a24c6f00","year":2023},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:20.394947Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:7971e60d8b71759bcaa65aa7b075307e7f0de0de5f86e24665968aa6a8bcd9d5","observation_id":"c9de40d0-61a4-4ce3-aef8-10b33e196ef4","resolution":{"observed_at":"2026-08-06T21:17:23.072980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:22.692564Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"f6e34e1f-3d64-4fec-8d17-c213298d6906","year":2023},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:20.534827Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:b9f05ea7a98a8e6cdaf9ca4925f535a533b238483baa476cab01c4704b93e5b7","observation_id":"ddcebd36-6cfd-412a-b655-e48e4850b77e","resolution":{"observed_at":"2026-08-06T21:17:22.834568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:22.325882Z","title":"In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)","venue":null,"work_id":"ede30146-2479-476c-8a38-cb2f09b5cfaa","year":2024},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:20.667259Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:04d58f359f10c844200387377482dfbd1d5a33dfa8ff4e09e459646b1e2f85a7","observation_id":"288f83d5-2759-41f9-ba0b-151e27682c8b","resolution":{"observed_at":"2026-08-06T21:17:22.449595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:22.001844Z","title":"In: Medical image comput- ing and computer assisted intervention–MICCAI 2019: 22nd international confer- ence, Shenzhen, China, October 13–17, 2019, proceedings, part II 22","venue":null,"work_id":"7dc19f2c-67d6-4147-82fc-a3d9c5474c1d","year":2019},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:20.844791Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:b68849ab50a02b91cc1a1175c2fc64c7f5e6d284186c01c6bbdbbb2a1bf59f6d","observation_id":"34f975f1-73b1-444d-9c07-cc85929c771c","resolution":{"observed_at":"2026-08-06T21:17:22.151193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-06T21:17:21.712844Z","title":"In: Medical Image Computing and Computer Assisted Intervention- MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 20","venue":null,"work_id":"4be06339-e8d3-43c5-b20f-ad8340b77f30","year":2017},"citing_paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:21.074898Z"},"links":{"citing_paper":"/paper/2507.00660"},"observation_digest":"sha256:6535505694790ee37f47fda175380e97b226d27dbb99b19c76c9d20d5350e956","observation_id":"68ddf56b-e713-40cc-a06b-00a2d7e5ade6","resolution":{"observed_at":"2026-08-06T21:17:21.848699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00660","last_updated":"2025-07-03T07:56:43Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-10T23:52:31.176397Z","submitted_at":"2025-07-01T10:58:51Z","title":"MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":22},"total_outbound_references":28},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.00660."}