{"as_of":"2026-08-14T18:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e548da86c9e3e19b71a1197fe5a3bd61b3b00923dff02d8d8075a0747f2e343a","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:16:49.280068Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.16363/citation-record","integrity":"/paper/2507.16363/integrity","json":"/paper/2507.16363/citation-record.json","paper":"/paper/2507.16363"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:49.228479Z","title":"Bioinformatics35(14), i446–i454 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.228479Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:cf3d54b4b981357e6a89ed3add7ba3b7cf0af390d068e349e70dc0db18e15658","observation_id":"085e417a-0c56-4fd8-a987-fd7aa946e027","resolution":{"observed_at":"2026-08-06T15:16:49.228479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:49.439711Z","title":"IEEE Transactions on Medical Imaging 41(4), 757–770 (2020)","venue":null,"work_id":"a800a5da-fa7a-4292-8194-485e302fe1c3","year":2020},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.231250Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:8f9b64c46097d720b22e59d6fa3566409c5058ed7f89a0fffcbb3faf59a2dfcd","observation_id":"0b1e62b8-068d-4a0b-bc03-bc4641bedce6","resolution":{"observed_at":"2026-08-06T15:16:49.442145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.433404Z","title":"In: Proceedings of the IEEE/CVF Inter- national Conference on Computer Vision","venue":null,"work_id":"aed74cbe-89f7-4ff2-8569-d5e52b31ec46","year":2021},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.233520Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:38dc064ec25c32720838092655b151eca501585459f73afd59e59055e849ea85","observation_id":"210a071b-8ef8-476d-9207-453ba91787be","resolution":{"observed_at":"2026-08-06T15:16:49.435812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.08027","last_updated":"2024-12-04T02:57:03Z","snapshot_observed_at":"2026-08-13T20:17:44.935560Z","submitted_at":"2024-04-11T15:58:12Z","title":"SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.08027","snapshot_observed_at":"2026-08-06T15:16:49.235764Z","title":"arXiv preprint arXiv:2404.08027 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.235764Z"},"links":{"cited_paper":"/paper/2404.08027","citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:bb5b6ddaa5f47f6f4960451ba325ff6c78774b409a1cb92ad970e1e078e800b2","observation_id":"6c16a7f7-8061-4a80-8c53-d1451d21fbb1","resolution":{"observed_at":"2026-08-06T15:16:49.235764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:49.427528Z","title":"Medical Image Analysis99, 103346 (2025)","venue":null,"work_id":"7291f39c-2d80-4a37-9740-8b087a867a26","year":2025},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.238175Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:49317cf876dd4b0e2cbd275ab57196331360a84bfcee6c43f21fa293c9a63c2b","observation_id":"2c6bb5f0-3cb5-4d2e-962b-17695832ddde","resolution":{"observed_at":"2026-08-06T15:16:49.429651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.240395Z","title":"Advances in neural information processing systems30 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.240395Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:8597d05df52edeb4b9e7dbb10bd090752d0a3cce843719799e2bd6c5464d41ce","observation_id":"dc7d58bc-06e5-436e-aedb-a8ba96feef56","resolution":{"observed_at":"2026-08-06T15:16:49.240395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:49.418118Z","title":"Jama247(18), 2543–2546 (1982) 10 H","venue":null,"work_id":"0508ff47-c542-4579-a004-333fe49d11b3","year":1982},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.242733Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:ce90109f1c0b0c60bbb49214dae969e95bccff786edce919e555e9515f3b5d05","observation_id":"d53d7eae-cac5-4e94-9ff4-8471acedc52c","resolution":{"observed_at":"2026-08-06T15:16:49.420061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.412228Z","title":"IEEE Transactions on Medical Imaging42(8), 2462–2473 (2023)","venue":null,"work_id":"cdb0e083-ecb3-46b1-8641-80ce31b5c5e1","year":2023},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.244651Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:d8ca53aac686a698f709803ef2798001b95b3188e9a7302de13e06b0ea1ce31c","observation_id":"5bb67dbd-bd2e-4532-8452-e0e20f72567d","resolution":{"observed_at":"2026-08-06T15:16:49.414303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.406465Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)","venue":null,"work_id":"ff3ad6a2-4b08-4acf-a0b5-4dbf2a149c9e","year":2024},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.246562Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:01ec5744fdf30eddcf5a72f6f1bd31a3113a4cfabc29349991f6acb7fd46e336","observation_id":"bc7c37ff-5df2-4095-a266-9c436e745000","resolution":{"observed_at":"2026-08-06T15:16:49.408448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.400481Z","title":"BMC medical research methodology18, 1–12 (2018)","venue":null,"work_id":"21d63d11-3360-4023-b916-546cc60c37f3","year":2018},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.248518Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:430f0fcf790835f69f51cf0c196161058a42275b6e9e1f2a5d8d26508cdb0b3f","observation_id":"c6d7dccc-b517-4e10-8e08-2d4c9e68baaa","resolution":{"observed_at":"2026-08-06T15:16:49.402616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.394394Z","title":"npj Digital Medicine7(1), 2 (2024)","venue":null,"work_id":"2e0fb320-0f37-40bb-8fd3-b390dadbd191","year":2024},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.250432Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:86237487efbefd06403d65ae4c804ee7619884744b7d39679597a41976ed9e31","observation_id":"9247a7ee-fb6c-4ae5-8663-7118a8cd0659","resolution":{"observed_at":"2026-08-06T15:16:49.396687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.388169Z","title":"IEEE Journal of Biomedical and Health Informatics (2024)","venue":null,"work_id":"c09d2c42-3866-4748-87ae-d6be9c5fe7d2","year":2024},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.252748Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:566f8966e193b0ee8c8bd89f0c90b7a1ffcf31940096102766f15e2291fd37e9","observation_id":"284f3cb6-156a-4e46-bc3d-8ca2718edc28","resolution":{"observed_at":"2026-08-06T15:16:49.390668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.381889Z","title":"Proceedings of the National Academy of Sciences115(13), E2970–E2979 (2018)","venue":null,"work_id":"4c724a2b-c01e-45d2-8180-8554bc41a12a","year":2018},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.254642Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:984bc3d971c561a53ff705b89259c9d81cd4a99805d9e0f3af53c93b79673a95","observation_id":"dde90334-2800-4441-a453-85fcfbb502b3","resolution":{"observed_at":"2026-08-06T15:16:49.383957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.375440Z","title":"European urology81(6), 576–585 (2022)","venue":null,"work_id":"76a80dd8-0d63-4a56-b569-b137aeb88c25","year":2022},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.256447Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:cfe8036a7685a71e842103b03769a7e5c66a1da84ddb65e0c91ef378bf35e1fa","observation_id":"dc0f5e11-8ed6-45a9-bedc-e6af52cba0f6","resolution":{"observed_at":"2026-08-06T15:16:49.377770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.368948Z","title":"In: International Con- ference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":"c0f84ccd-a8a1-425b-b0a2-f876445b8016","year":2024},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.258412Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:d7087a8240a9f5f993aa0ae2c7746c8c70bba5f6f4694e17ef1dc23fa7579a15","observation_id":"4cb2e5d9-214c-4075-9a35-931db38714ff","resolution":{"observed_at":"2026-08-06T15:16:49.371071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.363076Z","title":"Medical image analysis70, 102032 (2021)","venue":null,"work_id":"791e1d50-3f36-4b7d-ab6c-dcd6fc8090c4","year":2021},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.260348Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:9e0a66c72eb0e85b96ceae57ef2f35bc3ea5187d90542b9675af3785aa822bc2","observation_id":"af77d0b5-880c-408a-94e4-725747ec0dc2","resolution":{"observed_at":"2026-08-06T15:16:49.365164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.356500Z","title":"Medical Image Analysis 91, 103016 (2024)","venue":null,"work_id":"50cba7e2-faaf-47b6-a757-5957278e4341","year":2024},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.262204Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:4629523086ecf480ffc16724b7165d5e6eab8fa3751b1cdc7d5260498b466e1b","observation_id":"65cdf51c-94e8-42be-b4c1-2886c62ef598","resolution":{"observed_at":"2026-08-06T15:16:49.358536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.349499Z","title":"IEEE Transactions on Medical Imaging42(9), 2552–2565 (2023)","venue":null,"work_id":"8b464f68-dfce-452c-a79e-d4be5eedd73d","year":2023},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.264032Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:6d291766234a56774d05cc1f4f1c5db544cf08253be809366f3d1eb7d7ec4bc8","observation_id":"8a2dc286-95cc-4c9f-8bfd-d4ebe4bfc1c0","resolution":{"observed_at":"2026-08-06T15:16:49.351717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.265911Z","title":"Advances in neural information processing systems34, 2136–2147 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.265911Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:eb2f210f3c03cd2704b7c7d00e3ad6e11707125231ac2aec25b5c78f402e70bd","observation_id":"e601e01e-47db-4ecd-b9fe-565a90603af4","resolution":{"observed_at":"2026-08-06T15:16:49.265911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:49.339531Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence","venue":null,"work_id":"4075d08a-ffe3-4d6a-aba6-023ac472cd96","year":2023},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.267807Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:335027caabd09714e3c8284950c5e2e5bb026beed4e202b11d71393a958f8cef","observation_id":"de19baa4-aecf-44c3-beb4-9d711b182469","resolution":{"observed_at":"2026-08-06T15:16:49.341710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.332955Z","title":"In: Proceedings of the 28th ACM international con- ference on multimedia","venue":null,"work_id":"f90df98c-7625-443a-a75c-81217e833d60","year":2020},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.270224Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:3c9266aa674a431e820ffd8c64e4e74540f9bd166c1fd4cc705b279c8021d396","observation_id":"f1240a9d-7a8b-482d-be88-764afa4c306d","resolution":{"observed_at":"2026-08-06T15:16:49.335601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.326053Z","title":"Advances in neural information processing systems20 (2007)","venue":null,"work_id":"54a0156c-cbb2-4c3a-9e4b-a4dc12ca6b95","year":2007},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.272252Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:6ce7ff7bc4adaf610d55a2f6f36ebe0dadbb9c14b11795aba3a694f81b95950f","observation_id":"56f96249-a9d5-48e6-9659-b3b06159a8e3","resolution":{"observed_at":"2026-08-06T15:16:49.328833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.319429Z","title":"Proceedings of the National Academy of Sciences 102(43), 15545–15550 (2005)","venue":null,"work_id":"7c9fa995-6cb4-433a-85ec-fc8126b0502d","year":2005},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.274100Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:01a221513a188dba9ec0feee1d2700cb5458ea7284099e2effb6a420a3e2b84c","observation_id":"8afc7598-6384-466e-adc0-30aacb132604","resolution":{"observed_at":"2026-08-06T15:16:49.321948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:16:49.276090Z","title":"CA: a cancer journal for clinicians 71(3), 209–249 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.276090Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:444a77d0ad874984085ef1eae2be17e7f35ff70fa2c3be15a3b416364263e4d8","observation_id":"3ddb0bfe-5288-45ae-9508-28e981cc14c4","resolution":{"observed_at":"2026-08-06T15:16:49.276090Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.06176","last_updated":"2019-05-14T14:16:40Z","snapshot_observed_at":"2026-07-06T06:45:08.082087Z","submitted_at":"2018-06-16T03:48:50Z","title":"Learning Factorized Multimodal Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.06176","snapshot_observed_at":"2026-08-06T15:16:49.277901Z","title":"arXiv preprint arXiv:1806.06176 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.277901Z"},"links":{"cited_paper":"/paper/1806.06176","citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:77a086341e95652b5ba16628eead817027e841a1f4cf7777cdf11c457c7978bb","observation_id":"eec0c00c-cdf1-4ef6-ab4e-606228ffe667","resolution":{"observed_at":"2026-08-06T15:16:49.277901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:49.308504Z","title":"Scientific Reports11(1), 13505 (2021)","venue":null,"work_id":"2c651ff1-26d4-4d04-b55d-0c071dffa57e","year":2021},"citing_paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:49.280068Z"},"links":{"citing_paper":"/paper/2507.16363"},"observation_digest":"sha256:7bd102feed609459698906f6d319053ddb1bfdedf7b0a19e924f080854d13966","observation_id":"8b249e29-adcd-4fd6-82e3-20a2ad675ff2","resolution":{"observed_at":"2026-08-06T15:16:49.311510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.16363","last_updated":"2025-07-22T08:54:52Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T16:04:38.701408Z","submitted_at":"2025-07-22T08:54:52Z","title":"Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":26},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.16363."}