{"as_of":"2026-08-10T13:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e51477c12455e7c2a6665e21d60da057aa4741866b169eeae864d6fbacd4ac5","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T21:09:44.555275Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2508.09328/citation-record","integrity":"/paper/2508.09328/integrity","json":"/paper/2508.09328/citation-record.json","paper":"/paper/2508.09328"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:09:54.115671Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","venue":null,"work_id":"efe5bb1b-f1ec-4721-9337-f014fa34e000","year":2021},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.560268Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:951a70fc0ad21352706cce1b9b2a8492785b1de153e27cbb97c2bca600bb5c77","observation_id":"3bff4f1a-5ec6-4aee-a7ce-4c7498dd3f22","resolution":{"observed_at":"2026-08-05T21:09:54.200090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:53.888400Z","title":"A Time-dependent Discrimination Index for Survival Data","venue":null,"work_id":"e9aa8f23-6c7c-4f6b-a17d-9525d928b390","year":2005},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.596768Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:de84765b1c642505ebca665f4eeb78085c3abcda94bcfa74343c148b3d2050db","observation_id":"33aebe9b-61fc-4713-a881-e1f54f79e31a","resolution":{"observed_at":"2026-08-05T21:09:53.996773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:53.673058Z","title":"Estimation Methods for Time-dependent AUC Models with Survival data","venue":null,"work_id":"c2c69592-35ff-456d-84a6-3c5cba0d376a","year":2010},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.651934Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:f0e9d5a56f03b0f40eb6a018faad1552e0037fce840e7b22e576190fe4100e7b","observation_id":"4ecd4463-f025-4431-9c7c-062008b25f3a","resolution":{"observed_at":"2026-08-05T21:09:53.782699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:53.501969Z","title":"Quantifying and Comparing Dynamic Predictive Accuracy of Joint Models for Longitudinal Marker and Time-to-event in Presence of Censoring and Competing Risks","venue":null,"work_id":"0907372f-8183-48c2-af68-5147ab69df17","year":2015},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.685157Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:ba02b7d8c5330dd1c12f9d02ad022436375058ba33a3178c4d952628f91a1174","observation_id":"de1861c7-a4df-41b2-b3f2-cd1b8815a8eb","resolution":{"observed_at":"2026-08-05T21:09:53.574186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:53.384887Z","title":"Attention Is All You Need","venue":null,"work_id":"81c5dcaf-0102-4ea5-a84a-ce46b6af991c","year":2017},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.754763Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:3e12124cc1fbef2687b0aa828c5cddd575fcd6c52bc2c0617a9266e41338ec5a","observation_id":"6c197f2d-b755-4db3-87b4-bd45694e09e2","resolution":{"observed_at":"2026-08-05T21:09:53.454476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:53.177433Z","title":"Review of Current Advances in Survival Analysis and Frailty Models","venue":null,"work_id":"9831f8d9-5a72-4029-837f-5e87588a6aa7","year":2020},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.807449Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:83f802874cc7ac7711eab69d7a0087dac916e5dab23d68d85b78829793015ec3","observation_id":"ff026f9f-313c-4887-9911-1c5856ec1997","resolution":{"observed_at":"2026-08-05T21:09:53.298897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:53.007444Z","title":"Deep Survival Analysis","venue":null,"work_id":"b0ddcf8e-6e4b-47a8-8776-2287fd6b90f0","year":2016},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.886557Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:23f5c72652cc6e86bb5fe030063b0b376bf54992121c2901117c49a8b6012061","observation_id":"a05a1d4d-6feb-4b85-9820-c7bfdc85c22d","resolution":{"observed_at":"2026-08-05T21:09:53.094221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:52.845616Z","title":"Stochastic Calculus as a Tool in Survival Analysis: A Review","venue":null,"work_id":"9cd96818-de5b-4725-9a9c-463b2d1186a6","year":1990},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:39.969928Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:3193fb862dc5eb9dbd36b77b3ebbf17c8b6a3a3637b27740ac13564de6696b16","observation_id":"e17f30f1-4483-4b8c-811b-c6c932da282a","resolution":{"observed_at":"2026-08-05T21:09:52.920061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:52.641033Z","title":"Deep Learning for Survival Analysis: A Review","venue":null,"work_id":"e41608c0-e983-4ddc-8c25-89f1c4aaf941","year":2024},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.059873Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:b8d22c7f4529e1fc3c6a0047884d2b13e57b45162e15b699dbe20b76bd353b2b","observation_id":"2d1db01e-5e97-4652-8cec-716d82e2c2b8","resolution":{"observed_at":"2026-08-05T21:09:52.766045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:52.498365Z","title":"Semiparametric Bayesian Analysis of Survival Data","venue":null,"work_id":"1223185a-7395-4a2a-a1fe-291148ef936c","year":1997},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.088904Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:35e4536fd15ee2c3ccf93e47a25021797b50902f5cb62dbe07678c4c5a460b36","observation_id":"8e979adc-136b-4e1b-9ad8-31b168c469ed","resolution":{"observed_at":"2026-08-05T21:09:52.575426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:52.321508Z","title":"Machine Learning for Survival Analysis: A Survey","venue":null,"work_id":"720559e5-8d0d-4333-8a0a-340e21b58cea","year":2019},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.107695Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:5271799587ab44c5b220a2e2bd81de13f8a73649c3255c70f9cabcb474a77288","observation_id":"3c33a9e3-8ac9-446f-a6ec-0c0796bab587","resolution":{"observed_at":"2026-08-05T21:09:52.405898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:52.015350Z","title":"Survival Analysis: A Survey","venue":null,"work_id":"46858635-3331-467e-93f6-acc16437b134","year":1991},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.195268Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:048d660f249a7758516b75690d82031bfcc7ce47d392d6337fc1e6cc4a6053d8","observation_id":"a702947b-bed2-4409-848f-04b62142a199","resolution":{"observed_at":"2026-08-05T21:09:52.230053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:51.786912Z","title":"Survival analysis in public health research","venue":null,"work_id":"29c85bf6-b1e0-42e5-b4a2-c6af8ccbbfcb","year":1997},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.287398Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:33be2f0ba1f6f81e70a9b91e7e2f5c066e7d1473c56852c36ab95d9f4828640b","observation_id":"b9381587-881e-4674-af92-f8d806e1c82f","resolution":{"observed_at":"2026-08-05T21:09:51.919255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:51.725383Z","title":"Regression Models and Life-tables","venue":null,"work_id":"c1cc7d53-9e17-4912-82b0-3acaf6ad941b","year":1972},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.384697Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:0faff0537a6bb081eba24a39c78b3eedd6842926ad99f3f5b4d0237727df4d60","observation_id":"9495e20d-b9df-4e64-81cd-45a6d25ccf42","resolution":{"observed_at":"2026-08-05T21:09:51.742031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:51.517581Z","title":"Multivariate Survival Analysis using Cox's Regression Model","venue":null,"work_id":"023291e1-5902-4b90-86cd-9bdada873f32","year":1987},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.466402Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:9fe047664d69561d270e16413298b1d5d4393bb8308389bc3cd9388bd4ef9af0","observation_id":"0b397d16-3dae-40c6-9178-a55c37baf80c","resolution":{"observed_at":"2026-08-05T21:09:51.615296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:51.332309Z","title":"A General Framework for Random Effects Survival Analysis in the Cox Proportional Hazards Setting","venue":null,"work_id":"660d9d58-bca8-4109-a9fb-0c92089cb76e","year":1998},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.568168Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:5eef0e2466f703f9debb6655225d07225f2104dbcc6e2f5f47c09286f74e8574","observation_id":"380d0c8c-18c0-4c24-8627-9b2e57edb62f","resolution":{"observed_at":"2026-08-05T21:09:51.425339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:51.171987Z","title":"Analysis of Survival Data under the Proportional Hazards Model","venue":null,"work_id":"1729bebb-5e13-4bc9-85ae-ab07070561a3","year":1975},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.657612Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:dd0fdd4bf89df3f362ed0580e18b91f024875a93d047467fb29b6aced9347223","observation_id":"c9d44156-4c58-4efc-a464-259f65b9a6ba","resolution":{"observed_at":"2026-08-05T21:09:51.266330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:50.975610Z","title":"Accelerated Failure Time Models: A Review","venue":null,"work_id":"f7e8ec81-09a6-421e-9957-66e0b53eabfd","year":2014},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.741757Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:6d68039e75fecdad2dc59f32613aec6092ebcf975eacd38e6d0903e0fa03cbab","observation_id":"a6391d6b-cd11-49bd-bf9a-c1170016db3e","resolution":{"observed_at":"2026-08-05T21:09:51.063770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:50.812965Z","title":"Comparing Proportional Hazards and Accelerated Failure Time Models for Survival Analysis","venue":null,"work_id":"45256db6-ac81-4322-a073-ac1efa6015c0","year":2002},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.816830Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:ce02b49e1c87dba4ebd48b1f2a1b2a4bd474725188dace42dd996d86fd86af52","observation_id":"14db0d33-58c4-4fbc-9004-714dc7d74926","resolution":{"observed_at":"2026-08-05T21:09:50.893649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:50.613691Z","title":"Survival Analysis under the Cox Proportional Hazards Model with Pooled Covariates","venue":null,"work_id":"476b7257-c933-4356-b1e7-cee517c7d222","year":2021},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.896771Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:cc4fe3c75791383f5abaecc0b767375bfbfeca9ffdb79000f3eb4047fab5c401","observation_id":"59adfaf2-e637-4fd9-bd81-256f7cb76539","resolution":{"observed_at":"2026-08-05T21:09:50.717545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:50.371104Z","title":"Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited","venue":null,"work_id":"69ab9a92-c964-4255-b234-9afa45b3b310","year":2006},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:40.987639Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:9475dd1b3c11ffa955bcd97617814d2a146f0462c3bbbee0825795cfca5c9d50","observation_id":"6d7ca24b-ed2f-4138-9643-4f3c0ecbaf41","resolution":{"observed_at":"2026-08-05T21:09:50.497490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:50.170554Z","title":"Basic Concepts and Methods for Joint Models of Longitudinal and Survival Data","venue":null,"work_id":"bfebf60d-fac8-4098-90f5-92d25b7a9322","year":2010},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.062216Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:f41d4c2e97f71dce423f62d415a675a8cfae28a983229d4b1b18a618e4121213","observation_id":"734d48e0-f893-4092-b80e-37692e53bfe1","resolution":{"observed_at":"2026-08-05T21:09:50.278646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:49.948525Z","title":"Joint Modeling of Longitudinal and Survival Data","venue":null,"work_id":"a75ea8e3-2fb2-44b6-95d2-1ecfbfbfce52","year":2024},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.159551Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:0b1ebea60e840d91a75cdb0c8337ee1649f0ba0092b4c152b42d5267193a90d3","observation_id":"43d4e049-078f-4cee-81ff-6fb2ee4a38a0","resolution":{"observed_at":"2026-08-05T21:09:50.079082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:49.731815Z","title":"Deep Survival Analysis with Longitudinal X-rays for COVID-19","venue":null,"work_id":"877f3962-d938-4de8-a5cd-74cde95376b6","year":2021},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.240529Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:de8f52abf9bdf5d1fefbc67a79b45df9a1990c887c4950f9c4f25c91acb51446","observation_id":"48f6cbef-0833-4087-b913-35f24ea8b61b","resolution":{"observed_at":"2026-08-05T21:09:49.843610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:49.511641Z","title":"Deep Recurrent Survival Analysis","venue":null,"work_id":"5e7c11ce-eb05-406b-8cab-e91b1c34091f","year":2019},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.319582Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:98f99d3a032ce1ec829cb0169aa53ed5aece7a5152bbc5d76004b6a725275d37","observation_id":"7f8ae5b4-2104-42cf-ba38-8281aac0f6ca","resolution":{"observed_at":"2026-08-05T21:09:49.623548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:49.240679Z","title":"Dynamic-deephit: A Deep Learning Approach for Dynamic Survival Analysis with Competing Risks Based on Longitudinal Data","venue":null,"work_id":"9ea2902a-b5ed-45d6-9348-65d14580c8ae","year":2019},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.422404Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:6850d531dc94db94ab4b9601a964c2c6f5a443fa681baa59fccaa25879d5ee2f","observation_id":"4c8f8abd-c70d-4ce4-b5f0-01abc2bcc6a4","resolution":{"observed_at":"2026-08-05T21:09:49.359468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:48.912322Z","title":"Time-to-event Prediction with Neural Networks and Cox Regression","venue":null,"work_id":"d808c9ce-0460-460b-9ab3-32451a7a68d6","year":2019},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.501468Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:f186f9f076c758dffb38082b44609cdd2a82d262e8bf7e8c172e58f10c26d240","observation_id":"2168fe07-551e-4a51-bd80-bfd880640f5d","resolution":{"observed_at":"2026-08-05T21:09:49.080266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:48.666517Z","title":"Deep Learning for the Dynamic Prediction of Multivariate Longitudinal and Survival Data","venue":null,"work_id":"c531fab8-727a-47c8-884e-4f9151fc6a29","year":2022},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.613130Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:507e91b61ef8592112e0bbb8513fac7c9aa38323779efec46b00b694a6686310","observation_id":"316ce42e-1bc1-45c9-81d8-634817037470","resolution":{"observed_at":"2026-08-05T21:09:48.733101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:48.491082Z","title":"Multi-task Deep Learning-based Survival Analysis on the Prognosis of Late AMD using the Longitudinal Data in AREDS","venue":null,"work_id":"abced758-fa3c-45ff-aec1-7f125478dfb3","year":2021},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.702959Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:788f209452a213ae0f3666d99ca31cef6172c175a531f53598484bd519b5beda","observation_id":"167fdf28-8eac-4115-9e19-eb720d6906d4","resolution":{"observed_at":"2026-08-05T21:09:48.577882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:48.243234Z","title":"Forecasting the Global Burden of Alzheimer’s Disease","venue":null,"work_id":"6436e2ef-55ee-4066-9355-a6019acfeee1","year":2007},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.810838Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:583a839e2a06741f33151612772a52fb88e24f55bea304d583fb2762517adc2c","observation_id":"6ead1d2d-790f-4bac-9183-6813b23dacee","resolution":{"observed_at":"2026-08-05T21:09:48.377681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:48.074002Z","title":"Whitwell, Jennifer, Ward, Chadwick, others","venue":null,"work_id":"81e13c8c-70ca-43e5-84c0-aee8d3ec1d51","year":2008},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:41.903344Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:3bd1e0a7852906a54c113bfc173ef33a8718ded4f2bf90ebc82afb667da238ae","observation_id":"d3239644-2cbc-4307-be26-3f52bbfa1e3b","resolution":{"observed_at":"2026-08-05T21:09:48.163769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:47.834586Z","title":"Quantitative Assessment of Field Strength, Total Intracranial Volume, Sex, and Age Effects on the Goodness of Harmonization for Volumetric Analysis on the ADNI Database","venue":null,"work_id":"9d853ab6-8d87-42a3-8cc1-b0f4d07773fe","year":2019},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.039280Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:2c5fe9c1a9f98ce146320153c59a63162062716d5d55389084462b1997d56a54","observation_id":"c737d2a5-4152-46a3-8c6e-35daf659e3af","resolution":{"observed_at":"2026-08-05T21:09:47.936458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:47.642863Z","title":null,"venue":null,"work_id":"7a3a2eab-0e3d-43eb-b5b9-0258055a8e4b","year":2020},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.108131Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:504f97f74a2fa7abddaa57a4f37c174e1ad8092535ee110785a3179da00bfa0c","observation_id":"42f8c34c-8e19-4e05-a122-323f6e6967cb","resolution":{"observed_at":"2026-08-05T21:09:47.738251Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:47.388332Z","title":"Dynamic Survival Prediction using Sparse Longitudinal Images via Multi-dimensional Functional Principal Component Analysis","venue":null,"work_id":"cc1dc011-af6c-44c0-bc7f-7dc4a6ef214e","year":2024},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.203111Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:692f955361952a7324b81029dc9400cea67f42b04e15e7912feb58ef7afba0f7","observation_id":"138cbb45-4196-465a-9810-ffc4839c6b68","resolution":{"observed_at":"2026-08-05T21:09:47.536545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:47.220264Z","title":"Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling","venue":null,"work_id":"34679b60-7c70-4a74-9250-68f4f5e3b06e","year":2024},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.302512Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:4d8c23c2602f67efc7581618d1dd516ee25df51aa019a94de86fa69538f291d1","observation_id":"8c8f83ce-e771-4bad-b977-45c5c430a96d","resolution":{"observed_at":"2026-08-05T21:09:47.321731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:47.027424Z","title":"Counting processes and survival analysis","venue":null,"work_id":"72107643-e0a5-48ae-a263-713ec9cc0e3f","year":2013},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.377121Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:de4e49c1104eb9dabde1c99c288259c3ec7c249282d9b0f0d52e1fed4d77baae","observation_id":"611c6d89-85ab-4bb0-bdac-080f1f083a1e","resolution":{"observed_at":"2026-08-05T21:09:47.159775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:46.840117Z","title":"Joint models for longitudinal and time-to-event data: With applications in R","venue":null,"work_id":"867e475f-0520-4b1f-9907-1830eafa1eb5","year":2012},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.464085Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:7f48becd34d42aa1c83edd74e3dc27b35a691b91712c860825f4890120339085","observation_id":"cad28f28-08ad-4078-959a-380b5d628503","resolution":{"observed_at":"2026-08-05T21:09:46.930506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:46.698547Z","title":"Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines","venue":null,"work_id":"067a50d4-8940-4904-9dc1-ce3a5660a5be","year":2018},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.580771Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:b41dc0413a52f3cbf981db4045b7627b603019f7f16669f5bfe6236ed437f81d","observation_id":"f0f0f30a-6eca-4cb2-866d-7f723114bd6a","resolution":{"observed_at":"2026-08-05T21:09:46.759988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:46.474049Z","title":"Functional linear regression analysis for longitudinal data","venue":null,"work_id":"8fe352a7-9b94-47b0-a6af-3fb85754710a","year":2005},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.742647Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:81126d89f37918cd3c4fda396db8419bc6b231ed27df1f56bc66bf4fd063496d","observation_id":"87b64f5c-9a7f-4bf8-98d5-b821616097ba","resolution":{"observed_at":"2026-08-05T21:09:46.611415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:46.320443Z","title":"A survey on deep learning in medical image analysis","venue":null,"work_id":"0f14e6ad-8854-4923-a43e-826f513097b1","year":2017},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:42.875169Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:27ed6845cde031baee32ce85d87971b18380bd4436f555ee920d5ee5e38c9857","observation_id":"29f45164-b401-4242-93ea-344cea193cb9","resolution":{"observed_at":"2026-08-05T21:09:46.391604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:46.173750Z","title":"DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network","venue":null,"work_id":"3f73a4de-99cd-4a84-8dfa-b16b98c642e0","year":2018},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:43.068934Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:1428081e3be20d185b2b81fdee05d82bb6ad5b3464dcff15766aef801ef9069c","observation_id":"bfbeb7a0-40b3-4d64-92af-4b4ab3614e55","resolution":{"observed_at":"2026-08-05T21:09:46.259541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.10245","last_updated":"2017-05-29T15:17:14Z","snapshot_observed_at":"2026-07-06T05:44:39.407531Z","submitted_at":"2017-05-29T15:17:14Z","title":"Deep Learning for Patient-Specific Kidney Graft Survival Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.10245","snapshot_observed_at":"2026-08-05T21:09:43.211121Z","title":"Deep learning for patient-specific kidney graft survival analysis","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:43.211121Z"},"links":{"cited_paper":"/paper/1705.10245","citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:9fcf9dc209b2335696cca8e400c42b67ac1753529dee87e4d5b79817d2b8029a","observation_id":"541da12a-5cdf-4b19-a9ea-85003fcbb6a7","resolution":{"observed_at":"2026-08-05T21:09:43.211121Z","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":"2026-08-05T21:09:46.026023Z","title":"Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach","venue":null,"work_id":"4c05e118-b997-41e4-8344-c5851d7008e4","year":1998},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:43.356451Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:b11160f631a689f489ba0a6205a4ff1c79f862af099f6808b0640aeed7ece8f7","observation_id":"1eb60263-4f3f-454f-9653-6399f39c2a4c","resolution":{"observed_at":"2026-08-05T21:09:46.103699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:45.906212Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"5d7e979c-b2dc-4ef1-a7e1-d53f322dbe47","year":2021},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:43.488975Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:c6c260bea9593554ac90ebe83dc6c2b6bc90e8feecceb3b1a9ab9cad79394e9b","observation_id":"73057bca-fbc9-4ddb-840e-e661172ee12d","resolution":{"observed_at":"2026-08-05T21:09:45.977828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:45.759077Z","title":"Rnn-surv: A deep recurrent model for survival analysis","venue":null,"work_id":"309eb461-14ba-4e87-9c9e-5513b50242b4","year":2018},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:43.656052Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:d90356c9e225359f0bfe13537493b2cd41c184b0feb3fe671fa4f482c2419bb4","observation_id":"006dce08-7374-4d8c-9c7a-7480afdfd1f2","resolution":{"observed_at":"2026-08-05T21:09:45.818645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.02908","last_updated":"2021-03-29T09:59:36Z","snapshot_observed_at":"2026-08-05T20:31:02.244623Z","submitted_at":"2020-01-09T10:21:04Z","title":"Spatial-Temporal Transformer Networks for Traffic Flow Forecasting","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.02908","snapshot_observed_at":"2026-08-05T21:09:43.799880Z","title":"Spatial-temporal transformer networks for traffic flow forecasting","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:43.799880Z"},"links":{"cited_paper":"/paper/2001.02908","citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:1745e37169a64a8c6b0c0d5f9568a43e00b45d91dcdae0774d9e0bb27fa96278","observation_id":"c4fc104a-932d-4173-828c-06c4ae6ab49b","resolution":{"observed_at":"2026-08-05T21:09:43.799880Z","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":"2026-08-05T21:09:45.576430Z","title":"EEG temporal--spatial transformer for person identification","venue":null,"work_id":"694ee30b-706e-42bd-9bc3-a55ce67eade1","year":2022},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:43.921774Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:3d49cd01a55a455ef4bf64392637aec9ffca4595ea775b54ab1062fb1f101819","observation_id":"3ca9e819-d7ac-4fbd-9b17-74b7b169df15","resolution":{"observed_at":"2026-08-05T21:09:45.681378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.11170","last_updated":"2021-06-11T00:48:18Z","snapshot_observed_at":"2026-07-06T11:21:24.392582Z","submitted_at":"2021-06-11T00:48:18Z","title":"Transformer-based Spatial-Temporal Feature Learning for EEG Decoding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.11170","snapshot_observed_at":"2026-08-05T21:09:44.015507Z","title":"Transformer-based spatial-temporal feature learning for EEG decoding","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:44.015507Z"},"links":{"cited_paper":"/paper/2106.11170","citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:74bd7bb8ae6ec03e9a1d896404beedf9cf9faa4ba14634a39d58f9647ca268b1","observation_id":"6684542f-96a4-4260-8b29-254347cb709c","resolution":{"observed_at":"2026-08-05T21:09:44.015507Z","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":"2026-08-05T21:09:45.409736Z","title":"Visualizing and understanding convolutional networks","venue":null,"work_id":"c7797224-cacb-46ac-b94e-59f1a3b86e3f","year":2014},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:44.093430Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:83fbaba9e8b8e87d9b136f8139fd8837665938445ccc3965c90bd738c380c963","observation_id":"cf92ff99-c04d-4ebb-bcc1-7b16684cffbc","resolution":{"observed_at":"2026-08-05T21:09:45.475329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:45.274378Z","title":"Deephit: A deep learning approach to survival analysis with competing risks","venue":null,"work_id":"a0b3d342-19c2-4e55-9d28-9bdcf9d015e1","year":2018},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:44.249800Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:78b6d94c5922fc32927a4a7d3431102f333b2e8098ccdf5fdccc8b87d1d2c531","observation_id":"6780cdc1-b4b7-4f20-8d59-a1eee3638e5e","resolution":{"observed_at":"2026-08-05T21:09:45.334953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:45.073124Z","title":"World Alzheimer Report 2015","venue":null,"work_id":"388d63e8-47c5-4e22-9df2-f5fa8443f765","year":2015},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:44.387089Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:f1a24d03ed31190d41549427d8bc65ee73dd07bf5ec67b5d683ce21b1d575122","observation_id":"9b3455e7-1b6a-49a8-9d33-bfb570759658","resolution":{"observed_at":"2026-08-05T21:09:45.161610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:44.889429Z","title":"Joint modeling of longitudinal and time-to-event data: an overview","venue":null,"work_id":"a72ac39b-e2ab-4dec-b9e1-e1b6571bb69d","year":2004},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:44.478984Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:8ad6fe6afe624f8e24bc7d3e1d6f33280548e5b5b4268dffbb654a24223aa795","observation_id":"afa8c48d-65d4-4e90-9d55-429723324e0c","resolution":{"observed_at":"2026-08-05T21:09:44.980455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:09:44.723221Z","title":"Joint models for dynamic prediction in localised prostate cancer: a literature review","venue":null,"work_id":"d21faec6-f7cb-4a0c-bc1e-a8653ac2fb15","year":2022},"citing_paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T21:09:44.555275Z"},"links":{"citing_paper":"/paper/2508.09328"},"observation_digest":"sha256:ae572005e4db895be9171791f303878103cf6c8f99377eb30a01102cd8daab5b","observation_id":"e866ef69-5d1e-4be5-aab4-244d40a7fc35","resolution":{"observed_at":"2026-08-05T21:09:44.806847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.09328","last_updated":"2025-08-12T20:31:55Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-09T14:17:47.711616Z","submitted_at":"2025-08-12T20:31:55Z","title":"Dynamic Survival Prediction using Longitudinal Images based on Transformer"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":49},"total_outbound_references":53},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2508.09328."}