{"as_of":"2026-08-18T20:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8d1ba6457c8b150778022d3c61b518cf012e72ae96011b448dbec16d04564ee8","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":"2026-08-18T06:34:40.430872+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":"2026-08-18T20:35:16.128347Z","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:d6d4dad5b6fbcdb438bf9eed4f07e227e043ab6a4c200dd2ae8b99da3fae1e21","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:b515277c8c4151517f8b28bdebaccafb0dbd6c73b13fbc40bc39261aa399821b","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:8d7fc234ad994f9891767ba92d85e7466f492d1402f43a14b06aea59f982b69a","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:2d9a33e8c994187085b4f2a4900aabdd217472d9e77e7901285ec638a7efdabf","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:e4385e8d2730ae841f9e7f6a012d29960d9f9605315e54cc5e094231ae197a81","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:3a034cbb7ee5f32f6e17cbe103eefed7ca5c89031e94fbf015b3a0997e19fae6","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:7fab11db37eabb54e0e0444d108ef170c8b4c0621583e6a5992a9a4108d8ca4e","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:83ef28d1f603299004c2d0e7cfbc04f1863f18c0221583a0ea9d5e5299a1ea98","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:fa150a5b931ef512a9de57cd157f72c576e59029f0c12e82b0c8b644df99bd7e","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":"2026-08-18T20:35:16.128347Z","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:dc5d876fca4d2285608a1ea398b592c914bd3b8dc97e765f60d11be5d82df5f4","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":"2026-08-18T20:35:16.128347Z","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":"sha256:68419839d88f460e4955894666db443e51b06cde7fed86e5e2dd1823d9693926","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:4750a493f9dfeaec459b04fa0492b2da40851d4f19372929342b7acf85f6d2e9","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15588","last_updated":"2025-01-26T16:30:30Z","snapshot_observed_at":"2026-08-17T21:33:41.205945Z","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":"2026-08-18T20:35:16.128347Z","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":"sha256:1d906e416797532783ce99ceb01094564b9a46e63d36faf18427a7cdad20b8e8","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:b52bc1ebc155bc346e8c2012861db9cae0487f1e98c063d63136683da5e5c463","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:e10af7c15b329bb6d7e4abaa3db42aada3a65d3be701c8f99b963e9917af2de3","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:a682b56d2e5635c6826e318dc61e2ed52675cd5df9f750dfe737ce6dac7211ff","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:ae1c1aef6f1958d9087f328093fe1ef3d13c780b69a99fc22a2be7596024ce73","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:95c6780eab696aa2f1f1f00ad2444cc85b3237c5fabb674fbede275dde690a99","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:fe6d322f90c1f7ccf836f5e52e245d01ef89b21e441383e21f94c5de8a17ad41","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":"2026-08-18T20:35:16.128347Z","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":"sha256:26e3327692e00a89b4afd8c473b66f1fdd8515c23f38157123fed804f349a472","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:03fda336a216dbb6b65a9be4a84890f923dec64bf683d3696c6a337b9d20af6c","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:ee17e0b4c8d0c1026ee8833ad992b3b4d8dde53edfae6f3e3adeea2754ebb79a","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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:f7721dbc9e91793b596e38d023dbbfadffbbbc095f9c86c8fbbb96753d28063f","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:2225cc026560ef1640c5897b6d027e81d7cecd8efd83d0f437a046dd40b71d17","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:775c91c79abcd6cbeb773303debd508418cf4754346406cbc3875c940a10e18e","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:48a32ca883d6fcdd6e31b6ce7b07e12a9d9634bb382227f9edf6b8aa10acd3e0","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:76c62915f1c777a5c1b2c9f6e9c0971e15fd7eea2cea4b4bc9db9dd6cc06a6e0","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"sha256:23abc898a3fe148f7cfa0c2f8e0215038ffa995caa44634e1c16a2cdf80e0daa","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 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-18T20:35:16.128347Z","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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.00660."}