{"as_of":"2026-08-16T09:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:566b4df0dc579e7093a8bc59ae4e70d57469d71919633c275fcce390f0fdbb3a","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:02:25.254806Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.07726/citation-record","integrity":"/paper/1908.07726/integrity","json":"/paper/1908.07726/citation-record.json","paper":"/paper/1908.07726"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:02:25.480545Z","title":"Journal of the American College of Cardiology 55(1) (2009) 1 – 16","venue":null,"work_id":"f909b8fe-a8b1-4838-8444-bd567996d8d8","year":2009},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.186218Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:46bb16f775dc89500d22cbb778608789c972be19440bc5548c1e06b3da739e05","observation_id":"8110b907-21aa-4124-8e2d-f66dd0d9c273","resolution":{"observed_at":"2026-08-14T12:02:25.484872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.469401Z","title":null,"venue":null,"work_id":"08fb69a1-19a5-4de6-ab5a-7b08639740a3","year":null},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.191464Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:e43801590a11ae9be2ef910e4d2959d6312f4a64988cfcae4f0d293a8acef303","observation_id":"d25488c9-0fd8-4f1b-bdd4-bc707ecfb3c8","resolution":{"observed_at":"2026-08-14T12:02:25.473305Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.446411Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelli- gence (2019) 1–1","venue":null,"work_id":"8534af68-3021-412d-895a-d5e120310a99","year":2019},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.201478Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:3d7759586f5be925a59481186f6ece1d87e6de4ae2847fd6515e4f49c4296d21","observation_id":"cdb81d2d-0738-4d3f-9ce7-9e9404b29342","resolution":{"observed_at":"2026-08-14T12:02:25.450144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.434858Z","title":"European Heart Journal - Cardiovascular Imaging 17(1) (05 2015) 76–84","venue":null,"work_id":"42787303-9fcb-4cda-b6e3-e562b669b8f5","year":2015},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.205633Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:7a691e1373d9c9894a4e8ebd523cba9d7d2094f49df1b25293e28e38d1dc2329","observation_id":"f7cc49aa-beb9-45fc-b7a9-ebf62ee274d1","resolution":{"observed_at":"2026-08-14T12:02:25.438936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.423450Z","title":"Com- puterized Medical Imaging and Graphics (59) (2017) 13–27","venue":null,"work_id":"3bec82f7-e154-4b2c-a178-a67bc8fd9246","year":2017},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.209975Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:4d185875f9b75fe83839e8e29804b2c9225b6d26493852c1df545bf382aaafe1","observation_id":"7bbab8ec-389d-4cc3-8f9f-129ebf775ad1","resolution":{"observed_at":"2026-08-14T12:02:25.427658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.410573Z","title":"In: MICCAI","venue":null,"work_id":"f8b3ff3f-450c-49f4-ad62-cb23b475001c","year":2016},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.214318Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:17429a8f054393225ad5f2c3ad6b8019b59dda8e6289017d287a58d421584e59","observation_id":"2416c526-f390-4df5-bd31-49ae72b42edb","resolution":{"observed_at":"2026-08-14T12:02:25.414938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.398073Z","title":"Computerized Medical Imaging and Graphics 71 (2019) 49 – 57","venue":null,"work_id":"f38cae9c-585a-4df0-b9ab-bb26530ef4e7","year":2019},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.218682Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:4e21e1bba298fbad1844133473788e1026832ba343d0a523398b93476e002b7b","observation_id":"765745f9-162e-4352-be3f-e23cd93a82ad","resolution":{"observed_at":"2026-08-14T12:02:25.402211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.384607Z","title":"In: Machine Learning in Medical Imaging","venue":null,"work_id":"9aee5c93-a361-4d46-8d9e-12427ece91b5","year":2018},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.223054Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:946ef4ceec32b41c4d4a206a41641133bbccedf69f24db5fc884aca8eaac294b","observation_id":"7262456f-7908-40a7-aa28-b6bac2fe131c","resolution":{"observed_at":"2026-08-14T12:02:25.389440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.372743Z","title":"In: CVPR","venue":null,"work_id":"4e55389b-d504-484d-b26c-936744ad3c56","year":2018},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.226850Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:b7607f9ffa5b54d5acfb09f7a09101b55f1fa4f11c0443c490838f24084a9bd5","observation_id":"e123c215-3aa7-4712-822a-fc6535fdfff1","resolution":{"observed_at":"2026-08-14T12:02:25.376405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.361434Z","title":"In: 2017 IEEE International Conference on Computer Vision (ICCV)","venue":null,"work_id":"4037ebc7-a834-4b51-aa86-d720451d60f6","year":2017},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.230721Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:39e0db2a0eb3b419825fed1b287104a884651e26bc9b7de8887471057807fa13","observation_id":"b020bc65-bcfc-43ce-b371-a62cf9a19334","resolution":{"observed_at":"2026-08-14T12:02:25.365452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.347843Z","title":"IEEE Transactions on Knowl- edge and Data Engineering 22(10) (Oct 2010) 1345–1359","venue":null,"work_id":"9c47e383-5329-4d3a-b868-c1964bcf7a3f","year":2010},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.234780Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:d102917eac7ec7c87496e8177a884d3203bfd4b8dbfe789960c00a52f74e191c","observation_id":"3f08d353-0cf9-4cf7-a2c8-d6f788bc0648","resolution":{"observed_at":"2026-08-14T12:02:25.352765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.333167Z","title":"In: MICCAI 2017","venue":null,"work_id":"6e3ec99e-d1c3-449a-a498-fc36613a392e","year":2017},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.239137Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:a02bf6a31a68bee3e0fb81ece09091be5b7b783105c8b230a6a40bd142092d5f","observation_id":"ebe43b40-00ab-4cee-909f-839efdd11b93","resolution":{"observed_at":"2026-08-14T12:02:25.338715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.321269Z","title":"In: STACOM","venue":null,"work_id":"00b3082c-7115-4ab9-9be6-760b901d9c47","year":2018},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.242931Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:3b90c4ecc457f6693b79446f5c1963fdbbd5e783c172904493593ca1c6578668","observation_id":"c8b15b3f-515e-4bfc-a592-3c8e547c8a8d","resolution":{"observed_at":"2026-08-14T12:02:25.325487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.309848Z","title":"In: CVPR","venue":null,"work_id":"7757ae5b-29dd-4926-a6b4-bc4f68e106f1","year":2016},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.246644Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:f3c6a09cb1998f53102464aeca935f02a1cd298f12868accc89dbe27c72d8e1f","observation_id":"3810d94a-c3a9-4b36-b2c9-4a4ccb0a5c63","resolution":{"observed_at":"2026-08-14T12:02:25.313706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.297257Z","title":"In: ICLR","venue":null,"work_id":"2905cf2e-2f72-49fe-b766-c1819908da4c","year":2016},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.250530Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:94778993b83440204a885df831093d08bfd872c0a09ac58e4302388d6b2d6b03","observation_id":"d631dc35-fc60-4cb4-9ab8-68958ff1444a","resolution":{"observed_at":"2026-08-14T12:02:25.301305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.282755Z","title":"In: 2016 Fourth International Conference on 3D Vision (3DV)","venue":null,"work_id":"c685f5e5-63d1-46e5-a7d0-676c113ee04a","year":2016},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.254806Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:0a73aaca42a97f45e9d305afafb2667c53a5f4f0f01e63498c582a3b8a1e4dbd","observation_id":"660cc31d-7453-4aa9-aa87-52ee4b22be84","resolution":{"observed_at":"2026-08-14T12:02:25.288449Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:02:25.457338Z","title":null,"venue":null,"work_id":"01a18988-b278-4742-8499-6c3c548e6360","year":2017},"citing_paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T12:02:25.196485Z"},"links":{"citing_paper":"/paper/1908.07726"},"observation_digest":"sha256:a2bc34c48749cfc4e8dddad4bedbfabc9897615a2d2678c403a7a506ab409422","observation_id":"dc87e800-d9c0-4982-8175-8d3d02f5357b","resolution":{"observed_at":"2026-08-14T12:02:25.461907Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.07726","last_updated":"2019-08-21T07:16:07Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T02:25:05.637795Z","submitted_at":"2019-08-21T07:16:07Z","title":"Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":15},"total_outbound_references":17},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1908.07726."}