{"as_of":"2026-08-11T17:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3cac577fd0b65318e41952a1b36781b7e3622ce070300644dcfb4588e0e1c3d2","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T20:22:55.298661Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2509.08872/citation-record","integrity":"/paper/2509.08872/integrity","json":"/paper/2509.08872/citation-record.json","paper":"/paper/2509.08872"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T20:22:54.986190Z","title":"Warppinn: Cine- mr image registration with physics-informed neural networks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:54.986190Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:f52b7da15cf13b044a1cbbd39e47a85463ec931569b0e7b6417868d19a571dcf","observation_id":"15fbbebd-455a-4c92-8002-c9e0dff38e68","resolution":{"observed_at":"2026-08-04T20:22:54.986190Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.ejcts.2006.02.058","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The sequence of regional ventricular motion","venue":"European Journal of Cardio-Thoracic Surgery","work_id":"b9f9fd6d-7cc1-4671-89a2-ccecd9e94bd7","year":2006},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:54.991368Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:844ce2f03a1fece7ad8f8ba0b94c2d5086542f7222e443bb68acd1c750030a1e","observation_id":"a8d5a211-9548-4cc4-9ff8-e61074add40f","resolution":{"observed_at":"2026-08-04T20:23:59.391113Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:54.996969Z","title":"Modeling of cardiac fibers as oriented liquid crystals","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:54.996969Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:3a2ffd65e055ee5b4d801ea41431670e36947129291d0a5caea3ff26195ee26f","observation_id":"77039424-a747-4bcb-83b3-dceb75e48001","resolution":{"observed_at":"2026-08-04T20:22:54.996969Z","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":"2026-08-04T20:22:55.002255Z","title":"A novel rule-based algorithm for assigning myocar- dial fiber orientation to computational heart models","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.002255Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:136111f24ea0ba03f1191593eb64d344926937d8c0e8be1f0012e99af12ecae2","observation_id":"83b9066c-cb17-4665-a382-8f5b8d501e5e","resolution":{"observed_at":"2026-08-04T20:22:55.002255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12968-018-0448-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comparison of both dense and feature tracking techniques with tagging for the cardiovascular magnetic resonance assessment of myocardial strain","venue":"Journal of Cardiovascular Magnetic Resonance","work_id":"91018e5a-6a40-4297-a55d-49233089d184","year":2018},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.008339Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:aa0c78c5c4ebc21207cd6475fe634bc958c858595d3cee377811ef98c4b724ca","observation_id":"8e308046-22b6-4edc-b27a-c63e5cdbaa07","resolution":{"observed_at":"2026-08-04T20:23:59.259648Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/1532-429x-12-48","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Longitudinally and circumferentially directed movements of the left ventricle studied by cardiovascular magnetic resonance phase contrast velocity mapping","venue":"Journal of Cardiovascular Magnetic Resonance","work_id":"59555349-d372-4b76-939d-6870bf004211","year":2010},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.012965Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:efcaebb3a8513b094b0f8ec33232e8461b6e4d2e94667bf16b30452fa4609f3e","observation_id":"78197077-81ba-4cd7-ae69-498fd5fe6c34","resolution":{"observed_at":"2026-08-04T20:23:59.177941Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.018498Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.018498Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:fef40cdc2601dda040122f1ee8f0ba8714f2061205887fa54fc2c35e5cb7b56b","observation_id":"11fd0d15-eec6-4d3e-bbe6-1489242efe39","resolution":{"observed_at":"2026-08-04T20:22:55.018498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1161/circimaging.116.005018","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Studying dynamic myofiber aggregate reorientation in dilated cardiomyopathy using in vivo mag- netic resonance diffusion tensor imaging","venue":"Circulation Cardiovascular Imaging","work_id":"ba2377b3-6529-4270-b53c-f4d61fcb6a96","year":2016},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.023130Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:573091948f1733a89f383ecc8468c03970f4987c27af5661ca20fa6a205c8790","observation_id":"a1875c8c-d09a-4ba7-9251-d4352c4d3ff9","resolution":{"observed_at":"2026-08-04T20:23:59.034400Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.027859Z","title":"A rule-based method to model myocardial fiber orien- tation in cardiac biventricular geometries with outflow tracts","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.027859Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:167c2894f0ddab466283809867ca984eb0a330ae455671aff7192292f0f041f0","observation_id":"ec71c20b-f368-4b92-94f6-472b3b1a1f72","resolution":{"observed_at":"2026-08-04T20:22:55.027859Z","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":"2026-08-04T20:22:55.033271Z","title":"Myofiber angle distributions in the ovine left ventricle do not conform to computationally optimized predictions","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.033271Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:6a6f56ee3cc5b82591f25069e05859204af5f19ba321bdd216c83872074e2dfa","observation_id":"25cf1622-ccf9-4765-8524-d4b3e4764c34","resolution":{"observed_at":"2026-08-04T20:22:55.033271Z","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":"2026-08-04T20:22:55.037933Z","title":"Automatic quantitation of re- gional myocardial wall motion and thickening from gated technetium-99m sestamibi myocardial perfusion single-photon emission computed tomography","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.037933Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:66e3b586b477c65c2741ea4d9c7ff1be36958b45bdc795dc246d3be8b7f42651","observation_id":"451d433a-1f9e-49b8-a460-f64a4a79dd9b","resolution":{"observed_at":"2026-08-04T20:22:55.037933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/eurheartj/ehq030","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Novel therapeutic concepts the epidemic of cardiovascular disease in the developing world: global implications","venue":"European Heart Journal","work_id":"eff426a7-fafb-4837-be00-96c3509e091d","year":2010},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.047508Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:987aa4e2493468beff05f25c8f537508bd64a3c3a0974632d6f55d06ecd5b251","observation_id":"a307d282-1f58-4df0-8dd3-f1594732577d","resolution":{"observed_at":"2026-08-04T20:23:58.954417Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.052648Z","title":"Characterizing cardiac involvement in amyloidosis using cardiovascular magnetic resonance diffusion tensor imaging","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.052648Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:f48bc70877d862c2eb7fd5def47a70f223dfd651d0c748ca98ef8d51c633cf48","observation_id":"bba273b6-f303-4b49-84ec-c47b8be965c3","resolution":{"observed_at":"2026-08-04T20:22:55.052648Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jcmg.2020.12.026","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cmr diffusion tensor imaging provides novel imaging markers of adverse myocardial remodeling in aortic stenosis","venue":"JACC. Cardiovascular imaging","work_id":"bbc313bd-1486-4d8b-8e1f-b741d1264c71","year":2021},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.057940Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:ccf8c3fadc1b3329924bae58435659d0aef83ee85e376b7f171f9a3a596201d2","observation_id":"64620099-19db-49b4-8ba1-9280ef68d58c","resolution":{"observed_at":"2026-08-04T20:23:58.852817Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00366-022-01709-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps","venue":"Engineering With Computers","work_id":"d7a5bec3-6a2b-4726-b36d-66f09f871d5d","year":2022},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.062284Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:b872441d60ebdb9bc64d13d72c209ba1ba3b6330e2afa7160809f3c7cf54c7f7","observation_id":"bace01c8-9be9-4810-86ee-3a26a6c6793c","resolution":{"observed_at":"2026-08-04T20:23:58.743179Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/173971a0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Structural changes in muscle during contraction: Interference microscopy of living muscle fibres","venue":"Nature","work_id":"6fe847ee-f68c-4fc0-bc97-da52104278ca","year":1954},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.066792Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:2503a626734c8950174c2dd4350ba0265a48d127861e20634fefe3365ac0eab6","observation_id":"8a6da14f-b591-42ca-86b7-119e5c126dc7","resolution":{"observed_at":"2026-08-04T20:23:58.642965Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/173973a0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Changes in the cross-striations of muscle during contraction and stretch and their structural interpretation","venue":"Nature","work_id":"dfe0e31f-81c9-44c6-8317-1cfad682132c","year":1954},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.071102Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:28c54b43105f5e20b95188f2d84d20195d5d30add19605549a1004925ceb56ad","observation_id":"f5021806-23f6-405a-99d8-951f1410079a","resolution":{"observed_at":"2026-08-04T20:23:58.524552Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1161/circimaging.119.009901","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Diffusion tensor cardiovascular magnetic reso- nance in cardiac amyloidosis","venue":"Circulation Cardiovascular Imaging","work_id":"65039b46-752a-435b-8c53-aa7bdef0b58c","year":2020},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.075288Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:f0d9cc85e38ed81ef74bf9656295898e4ece715a4368071fb8bfc3686f40da93","observation_id":"4715dc13-9d0c-4a8d-8306-6d4b4bab831a","resolution":{"observed_at":"2026-08-04T20:23:58.428933Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-04T20:22:55.079779Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.079779Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:fbaf8f0399b392a2138025ab542a952da713530c4ef31e579d5993c9e69f5ced","observation_id":"8032f796-eeb4-475b-a647-61bae0efe30f","resolution":{"observed_at":"2026-08-04T20:22:55.079779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-023-50835-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes","venue":"Scientific Reports","work_id":"43e65442-3b91-41e8-87c2-ef32bb5b07cb","year":2024},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.085010Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:00d3ef09e2d624ff96b6d72118cea217ad94c770974070349ebd1b4be16cff32","observation_id":"bb5fb668-c20e-444c-88c5-218945293e4b","resolution":{"observed_at":"2026-08-04T20:23:58.213653Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.media.2015.03.006","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Statistically-driven 3d fiber recon- struction and denoising from multi-slice cardiac dti using a markov random field model","venue":"Medical Image Analysis","work_id":"a9fcc414-34a9-4951-8bc2-9933602d3d10","year":2016},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.089560Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:0cdf4e8bc829d8dc7090c44c2a2518f11562aad0303afa94abd880917a99160d","observation_id":"16e08a38-0cb4-4ca6-933d-4ddc6ed0bcda","resolution":{"observed_at":"2026-08-04T20:23:58.060143Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.094010Z","title":"Effects of orientation of myocardial fibers on the contractility of left ventricle","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.094010Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:05c8898300ba27a01d7625c81168ffdd0482b7674b52cdf04133b53e135dd6c4","observation_id":"e4c320bc-6873-4c5a-9e1e-64452885f894","resolution":{"observed_at":"2026-08-04T20:22:55.094010Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T20:22:55.098249Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.098249Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:c4c1ff8ef09aff4b93bfd586c1de71f383c1eac3cf3f3e595f9074fcdb68da3e","observation_id":"f9704ff8-c611-423e-b187-df272e554ac8","resolution":{"observed_at":"2026-08-04T20:22:55.098249Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T20:22:55.103530Z","title":"Human atlas of the cardiac fiber architecture: Study on a healthy population","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.103530Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:eff77e8c16c94c8dc402e199eacae7e82e8f011eea1380ac95d8e107eb457bd5","observation_id":"bee035bd-bf21-42a5-b7b2-ce24c310a2b2","resolution":{"observed_at":"2026-08-04T20:22:55.103530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11263-010-0405-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ilogdemons: A demons-based registra- tion algorithm for tracking incompressible elastic biological tissues","venue":"International Journal of Computer Vision","work_id":"2006b3d3-6660-44ec-9b32-206fb7096775","year":2011},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.108068Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:a3bde45b44baffee55f976fcfc8334c484c3f819e7b52cd64a756840bfe68f55","observation_id":"dc08474b-1e35-4b28-8b11-ae365005f14b","resolution":{"observed_at":"2026-08-04T20:23:57.862658Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1161/cir.0000000000001303","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2025 heart disease and stroke statistics: A report of us and global data from the american heart association","venue":"Circulation","work_id":"39d6d4d3-05bc-462f-bf85-12cc6b03c389","year":2025},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.113719Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:5f3eed694c3d361f9640aa3b7a1d9e4b3b596b3417c308d03bab73b80c78a600","observation_id":"eb8a0d63-6498-4ad6-855f-b501093e9f2b","resolution":{"observed_at":"2026-08-04T20:23:57.522603Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-05T00:18:49.210098+00:00","source":"paper_reference_links","state":"open"},"event_date":"2025-06-23","event_type":"correction","notice_doi":"10.1161/cir.0000000000001345","provenance":{"observed_at":"2026-07-11T03:07:18.711024+00:00","source":"crossref","source_record_id":"10.1161/cir.0000000000001345->10.1161/cir.0000000000001303:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.echo.2012.06.011","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mitral annular plane systolic excursion as a surrogate for left ventricular ejection fraction","venue":"Journal of the American Society of Echocardiography","work_id":"90d913d3-c0b7-485f-b9b9-89825212c698","year":2012},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.118716Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:d091bbc0ce5d578a4aace2a4b0bdcd6eb39ce1a84139449a1a96757570ad8917","observation_id":"8c322edd-a7a5-432f-902b-6083f7140ce5","resolution":{"observed_at":"2026-08-04T20:23:57.368228Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.123249Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.123249Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:c0f26d46cb4631b3ca446c58c5083fd57a26e99d26f2b744f117644edd8efe41","observation_id":"9c5ab235-4fee-41b5-a487-5961e57c3fd7","resolution":{"observed_at":"2026-08-04T20:22:55.123249Z","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":"2026-08-04T20:22:55.128042Z","title":"Global burden of cardiovascular diseases and risks, 1990-","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.128042Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:a8f88114a07b2b376da78454e26c830e432ce08faea141f6bb18913778a348c1","observation_id":"39fbe150-9ca5-48b2-8a98-05f3d89f987f","resolution":{"observed_at":"2026-08-04T20:22:55.128042Z","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":"2026-08-04T20:22:55.137984Z","title":"Three-dimensional systolic strain patterns in the normal human left ventricle: characterization with tagged mr imaging","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.137984Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:73dc24cfa01e2683b3ba0bec6f3972b20c6f4e1dfde1203c5876e315113ec978","observation_id":"ae629a75-68a8-4547-af2b-a47216ced535","resolution":{"observed_at":"2026-08-04T20:22:55.137984Z","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":"2026-08-04T20:22:55.142513Z","title":"Deepstrain: A deep learning workflow for the auto- mated characterization of cardiac mechanics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.142513Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:51f528eb0ad87edc8c920c08bccbdc6bf17b58bfc775d0bb08d258888d4952cb","observation_id":"593dc0aa-a8f7-49d2-b71d-44c7a2983fc9","resolution":{"observed_at":"2026-08-04T20:22:55.142513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/mrm.28724","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Myofiber strain in healthy humans using dense and cdti","venue":"Magnetic Resonance in Medicine","work_id":"8b36afde-3d3b-4bbd-849a-08bf43abe6d6","year":null},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.151223Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:e1c7670f811006978581ee2498605f245a72f4dce562fd1737c3b3253d53ff36","observation_id":"851c8444-6df5-4ad4-ad05-e7c520ac3f4f","resolution":{"observed_at":"2026-08-04T20:23:57.223940Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.155905Z","title":"Myofiber strain in healthy humans using dense and cdti","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.155905Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:e47215dbe29ca18888303cefe813145a4eb218800de1fe27c7c9c5f635fd2050","observation_id":"f8e90c85-833e-4fdd-ad48-84eda145faf3","resolution":{"observed_at":"2026-08-04T20:22:55.155905Z","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":"2026-08-04T20:22:55.160665Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.160665Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:c5e828c5c9520ffbfc293d87e48e439db6ff3e128ae57d7090c158c44c48ecac","observation_id":"1c9bbd6d-8822-4175-8077-eca5cbd1e9e9","resolution":{"observed_at":"2026-08-04T20:22:55.160665Z","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":"2026-08-04T20:22:55.165056Z","title":"Estimat- ing cardiomyofiber strain in vivo by solving a computational model","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.165056Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:72a545b89f8507f41e538242dc0f6dc956958ae038ce55e82dd5440335025112","observation_id":"7c7dcf23-b8d4-40ca-8b5f-be1d178cba91","resolution":{"observed_at":"2026-08-04T20:22:55.165056Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T20:22:55.170512Z","title":"Quantification of 3d regional myocardial wall thickening from gated magnetic resonance images","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.170512Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:b37cdb5f83847b5605a4d81c13eb746f8d5b72987f9eeb99cdc05421f46060a9","observation_id":"a197a95a-f316-42e9-943e-d56dc78d4c56","resolution":{"observed_at":"2026-08-04T20:22:55.170512Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T20:22:55.175391Z","title":"On the spectral bias of neural networks, in: Chaudhuri, K., Salakhutdinov, R","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.175391Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:195f4ad5bc0588584dafe3590cb583a49c5d2d480be9a15f2cab7366e3baf890","observation_id":"1ffcb678-6e76-49f5-8775-c1fec875c8b2","resolution":{"observed_at":"2026-08-04T20:22:55.175391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0021-9290(97)00064-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Optimization of cardiac fiber orientation for homogeneous fiber strain at beginning of ejection","venue":"Journal of Biomechanics","work_id":"3bf283a4-e9ef-4cf7-8f26-5a8a7f976b3e","year":1997},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.180769Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:3dfd335dea998978cf1a4b80fa4f058d99ad93ed7e1b8c434b48e1678dcc62c4","observation_id":"a669f6e1-32d5-48b5-b1fd-34b7cea79d58","resolution":{"observed_at":"2026-08-04T20:23:56.912856Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.186208Z","title":"Impact of intraventricular septal fiber orientation on cardiac electromechanical function","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.186208Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:2f852caaac0a90142035ceb386f0d554086ead119fdd115d16c300364ada32cd","observation_id":"f1717276-91a6-439c-b82a-e152b7981976","resolution":{"observed_at":"2026-08-04T20:22:55.186208Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.compbiomed.2018.10.019","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A technique for measuring anisotropy in atrial conduction to estimate conduction velocity and atrial fibre direction","venue":"Computers in Biology and Medicine","work_id":"530a9299-e7d3-4fde-aee2-d7691cab5de8","year":2019},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.190644Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:b9bdfc40bf88b21b6fdf6142fd6cc4fa702727cf54d7c9bc84773cbdb45d96b6","observation_id":"7e8109a8-464a-4118-8e70-eb8ff3516b00","resolution":{"observed_at":"2026-08-04T20:23:56.749344Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/s0006-3495(69)86429-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Fiber orientation and ejection fraction in the human left ventricle","venue":"Biophysical Journal","work_id":"787f74ca-bfb6-46a6-bbdb-2d2107e31f98","year":1969},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.195400Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:0b9a3676d2eedb1bbc72fc292b9d0afe1f2068533fe4e918f7f802ee41e16ae3","observation_id":"6e8208d3-bd04-4d7f-853b-d194b5a048e6","resolution":{"observed_at":"2026-08-04T20:23:56.584486Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1152/ajpheart.1998.275.6.h2308","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Histological validation of myocardial mi- crostructure obtained from diffusion tensor magnetic resonance imaging","venue":"American Journal of Physiology-Heart and Circulatory Physiology","work_id":"a150b44d-f761-4668-9a0e-de1574f6eb9c","year":1998},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.201069Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:20af3434822bf3f4878ebfa9f40f6ccaffde557879ca45d140be252c5cad3fd2","observation_id":"bd73fe89-315b-486e-9bbf-c7ff1ead9554","resolution":{"observed_at":"2026-08-04T20:23:56.444050Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1114/1.1312188","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reconstruction of cardiac ventricular geometry and fiber orientation using magnetic resonance imaging","venue":"Annals of Biomedical Engineering","work_id":"6eabc202-d56a-489c-a2bc-870f0937c6bd","year":2000},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.205776Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:e95889360ea39b558a35f016de3b8145aca37631834fba9e9067b64443a0b37a","observation_id":"146a12e0-4958-4181-800b-63b50d199348","resolution":{"observed_at":"2026-08-04T20:23:56.215895Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.jcmg.2017.09.010","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Defini- tion of left ventricular segments for cardiac magnetic resonance imaging","venue":"JACC. Cardiovascular imaging","work_id":"65ac254d-c67a-4c38-a27c-2c97bede1c8b","year":2018},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.210146Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:b066b7a090d0cc206315d013dcebf2dae4939b3b8a90ef43084503b57eb7ad35","observation_id":"e69dd26a-367d-4c18-9562-7090cfddedb9","resolution":{"observed_at":"2026-08-04T20:23:56.010175Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.214745Z","title":"Pulmonary hypertension and indicators of right ventricular function","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.214745Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:d748664df97b36477cbb9bb67d94da45c4e57aa2553d1c91f0798191ab8a0575","observation_id":"9296d0dc-363b-486d-b15b-69fa9e607dc9","resolution":{"observed_at":"2026-08-04T20:22:55.214745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1136/openhrt-2023-002452","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Open Heart","work_id":"2c3bbf91-7023-4e0e-be33-351a2166ea08","year":2023},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.219164Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:af808cf10cde84a28cb7e85313663c7f3e7bbbc3b1be5e81dd6004521fb97154","observation_id":"6d5feeca-c902-4cf0-9b84-2528878e8bb4","resolution":{"observed_at":"2026-08-04T20:23:55.837808Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-05T00:18:45.885791+00:00","source":"paper_reference_links","state":"open"},"event_date":"2023-11-27","event_type":"correction","notice_doi":"10.1136/openhrt-2023-002452corr1","provenance":{"observed_at":"2026-07-11T03:04:47.11658+00:00","source":"crossref","source_record_id":"10.1136/openhrt-2023-002452corr1->10.1136/openhrt-2023-002452:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/s12968-021-00711-w","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal of Cardiovascular Magnetic Resonance","work_id":"9b34449b-4f7d-4dab-8b22-0da197dc44fe","year":2021},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.223596Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:c350e04acf71459dd01e72381d7cb66e4b678ce08f9201b3d6a5ceccb4b55ec0","observation_id":"0d4d5acf-bab6-44db-a113-36927795e4ba","resolution":{"observed_at":"2026-08-04T20:23:55.699217Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/b978-0-12-817931-4.00002-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chapter 1.2 - cardiovascular mechanics and disease, in: Niebur, G.L","venue":"Mechanobiology","work_id":"c93ba018-045d-45d9-ab16-e67f09a6d84b","year":2020},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.228287Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:3c1db6b5b60f8596132b0da19e3a63a16b93da8fcf10e3b98dba6014cc400bca","observation_id":"e4ffbed6-b1df-4743-9e60-4e3921d48a5f","resolution":{"observed_at":"2026-08-04T20:23:55.579083Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/qjmed/hcaf022","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Global bur- den of cardiovascular diseases and its risk factors, 1990–2021: A systematic analysis for the global burden of disease study 2021","venue":"QJM","work_id":"79f194f9-5272-4b72-8068-a4136fc8b03a","year":2025},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.232910Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:c425630be60fc04474ea1f5aed0fd916a0cd7ae8ac89ccaa6f3e0987c66254c8","observation_id":"70d72088-fe03-4e0b-8e04-ef9a6bf198f5","resolution":{"observed_at":"2026-08-04T20:23:55.462524Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.237072Z","title":"Fourier features let networks learn high frequency functions in low dimensional domains","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.237072Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:e5d3a1127bed34e732449dd993058069a80a22fd7dd41c488c187a872c6491f6","observation_id":"d4af35c3-0ab6-4818-8b51-6aba1f8c9d78","resolution":{"observed_at":"2026-08-04T20:22:55.237072Z","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":"2026-08-04T20:22:55.241396Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.241396Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:3441c50a9ca10761938f5a822d01f3760283e53d0b175dc8e41306164e395b9d","observation_id":"4b4a765a-6ed4-4d53-92ec-42d9fc884776","resolution":{"observed_at":"2026-08-04T20:22:55.241396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1161/01.cir.45.3.602","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measurement of left ventricular wall thick- ness and mass by echocardiography","venue":"Circulation","work_id":"8e13a1fd-1a87-48f5-9a59-1043e1ba3480","year":1972},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.250101Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:c432c7b3e1591b9c10f7b50de52d8760688c5df137b1c4af93997cbec9db60e8","observation_id":"9c114ab3-c0e1-4118-b9be-5248f302bf97","resolution":{"observed_at":"2026-08-04T20:23:55.253080Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1186/1742-4682-11-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A model to determine the effect of collagen fiber alignment on heart function post myocardial infarction","venue":"Theoretical Biology and Medical Modelling","work_id":"a4c52870-b61d-4eca-a5b1-44a354a8d511","year":2014},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.254088Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:238ae5138335f13f9669cac6d4305637fc4fe1b26ca545ddff261e7d366ae8ca","observation_id":"63dd3de2-9790-43b0-b85e-d42382b95c19","resolution":{"observed_at":"2026-08-04T20:23:55.137755Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.10047","last_updated":"2020-12-18T04:19:30Z","snapshot_observed_at":"2026-08-07T08:42:18.747549Z","submitted_at":"2020-12-18T04:19:30Z","title":"On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.10047","snapshot_observed_at":"2026-08-04T20:22:55.258385Z","title":"On the eigenvector bias of fourier feature networks: From regression to solving multi-scale pdes with physics-informed neural networks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.258385Z"},"links":{"cited_paper":"/paper/2012.10047","citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:96c519b20f24e564278babab4d5d78dfdb4be4babae4dd380f1f47a8a137b6a8","observation_id":"8814b5f7-5c84-460b-af53-737e72afb602","resolution":{"observed_at":"2026-08-04T20:22:55.258385Z","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":"2026-08-04T20:22:55.262748Z","title":"Normal reference values for mitral annular plane systolic excursion by motion-mode and speckle tracking echocardiography: a prospective, multicentre, population-based study","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.262748Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:f1bfc89a5af2c42a1ee6803ba00e9d0a627a3160318b0489b67d36f3d22a00a3","observation_id":"54205283-1705-4677-ae88-ba0485bff21e","resolution":{"observed_at":"2026-08-04T20:22:55.262748Z","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":"2026-08-04T20:22:55.267411Z","title":"Metabolic disorders and risk of cardiovascular diseases: a two-sample mendelian randomization study","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.267411Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:93320a03c7983bbc1a05beedd4a68ba9a7a50035ed0be840cbb83f2687bd6832","observation_id":"8e4e14bd-713b-48bb-9ed0-68b4182bc913","resolution":{"observed_at":"2026-08-04T20:22:55.267411Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-04T20:22:55.272376Z","title":"Generating fibre orientation maps in human heart models using poisson interpolation","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.272376Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:9639a8b6b80399e0cc416b81dc728f4d9e3ff10b93e018861f3d3403f5329c47","observation_id":"a8e97cc3-b43b-4289-92db-b271da90e1d1","resolution":{"observed_at":"2026-08-04T20:22:55.272376Z","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":"2026-08-04T20:22:55.276842Z","title":"Cardiovascular diseases (cvds) fact sheet.http://www.who.int/en/ news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.276842Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:452e4f788c0f38c4ff01d4f4949fc4369ba187899fed526ac354ad0d73e84cb8","observation_id":"57d5c273-0549-4958-bc90-b28603c49af2","resolution":{"observed_at":"2026-08-04T20:22:55.276842Z","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":"2026-08-04T20:22:55.280929Z","title":"Global burden of metabolic diseases, 1990–2021","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.280929Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:26bb832ec02fcfdf913df241e815902b5946318db83f1bf9f4278c10cfa4dc36","observation_id":"8d209dc9-2abb-4664-be69-cfd03f22ca1b","resolution":{"observed_at":"2026-08-04T20:22:55.280929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1115/1.4028990","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Numerical evaluation of myofiber orientation and transmural contractile strength on left ventricular function","venue":"Journal of Biomechanical Engineering","work_id":"5cbc07be-8b61-493a-a35a-c978033dea15","year":2015},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.285258Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:894d314fad1b3db75728cf70f2f571d72583f5a374697d3964c20821baff23c0","observation_id":"73aecce6-9f98-4695-ac88-8cba5ab7f696","resolution":{"observed_at":"2026-08-04T20:23:55.023480Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-04T20:22:55.289696Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.289696Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:6247274deb426d8cddaa83a60710b2ac6e5ba8d92a2d4c4ea241eab1da2385c6","observation_id":"db9469e0-adec-4d02-ad8b-327e900e75ba","resolution":{"observed_at":"2026-08-04T20:22:55.289696Z","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":"2026-08-04T20:22:55.294181Z","title":"Heart-muscle fiber reconstruction from diffusion tensor mri, in: IEEE Visualization,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.294181Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:373149968876c42f09acce0915a48d0cdb5d430a51564204bf8806987120f5f4","observation_id":"576d6de1-4b68-47eb-bd66-1357c7724e9e","resolution":{"observed_at":"2026-08-04T20:22:55.294181Z","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":"2026-08-04T20:22:55.042922Z","title":"1016/S0735-1097(97)00276-3","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":1367,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.042922Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:ba4cea30ed4004e8de87622ce1cad91267d0d0d7651a014de3bfab7329b6ade7","observation_id":"45aff763-748a-4a4c-a279-15754e43b379","resolution":{"observed_at":"2026-08-04T20:22:55.042922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.12504","last_updated":"2020-03-27T16:13:09Z","snapshot_observed_at":"2026-08-07T16:54:19.657436Z","submitted_at":"2020-03-27T16:13:09Z","title":"On a novel approach for modeling liquid crystalline flows","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.12504","snapshot_observed_at":"2026-08-04T20:22:55.298661Z","title":null,"venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":2003,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.298661Z"},"links":{"cited_paper":"/paper/2003.12504","citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:34cc9f37566b8ddb0324c1541d6074d49454d878f3ead611f73296e94d65e772","observation_id":"2a8aba14-850d-41ff-8b3f-20ad4be5fc97","resolution":{"observed_at":"2026-08-04T20:22:55.298661Z","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":"2026-08-04T20:22:55.245728Z","title":"Medical Image Analysis 17, 632–648","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.245728Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:d71730596fc9ca3dc1bb57d10ceb2b9b6d95e54df11384083546e119269476a2","observation_id":"d232700e-69fc-4d39-b85e-52da26df163b","resolution":{"observed_at":"2026-08-04T20:22:55.245728Z","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":"2026-08-04T20:22:55.146808Z","title":"3389/fcvm.2021.730316, doi:10.3389/fcvm.2021.730316","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.146808Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:8f8a10b85166d406039e1c71aeaafc4504d58c13da921311e8f2880879799b39","observation_id":"968388bc-0615-4189-99f5-df0afd82c63b","resolution":{"observed_at":"2026-08-04T20:22:55.146808Z","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":"2026-08-04T20:22:55.132954Z","title":"URL:https://www.sciencedirect","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-04T20:22:55.132954Z"},"links":{"citing_paper":"/paper/2509.08872"},"observation_digest":"sha256:a6539113de48cf81bca2164f8f870ec6c9862230b9e3753e6f6638afa3ad89b2","observation_id":"5fc30090-9450-44f3-92cc-b6dd9acf3e73","resolution":{"observed_at":"2026-08-04T20:22:55.132954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.08872","last_updated":"2025-09-10T14:53:31Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-11T06:09:11.202536Z","submitted_at":"2025-09-10T14:53:31Z","title":"WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":7,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":31,"verified_exact":29,"verified_fuzzy":0},"total_outbound_references":67},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2509.08872."}