{"as_of":"2026-08-15T05:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ce3a3d4204d9e13c85d34e3f277d0dfec37f9d6f075c6c1e2f2af5475bd385d2","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T19:06:04.232222Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"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/2501.10733/citation-record","integrity":"/paper/2501.10733/integrity","json":"/paper/2501.10733/citation-record.json","paper":"/paper/2501.10733"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.060023Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.060023Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:e5ba4340bf5ab95f4d76ff86385c33288d3e79c2c198ce6e635597247ef4deb6","observation_id":"7f8f4308-6142-4928-a5f6-8c808da07a8d","resolution":{"observed_at":"2026-08-10T19:06:04.060023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.14294","last_updated":"2021-05-24T17:49:18Z","snapshot_observed_at":"2026-08-04T11:32:10.695202Z","submitted_at":"2021-04-29T12:28:51Z","title":"Emerging Properties in Self-Supervised Vision Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.14294","snapshot_observed_at":"2026-08-10T19:06:04.067135Z","title":", author Touvron, H","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.067135Z"},"links":{"cited_paper":"/paper/2104.14294","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:6eb1a3b50b1c4bce28f847c660fff896b2ab960e32807a2ecd8a365e2e08f7c9","observation_id":"feff641b-2ead-4b9c-9728-cf646797d435","resolution":{"observed_at":"2026-08-10T19:06:04.067135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05709","last_updated":"2020-07-01T00:09:08Z","snapshot_observed_at":"2026-08-02T19:54:26.138356Z","submitted_at":"2020-02-13T18:50:45Z","title":"A Simple Framework for Contrastive Learning of Visual Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.05709","snapshot_observed_at":"2026-08-10T19:06:04.072718Z","title":", author Kornblith, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.072718Z"},"links":{"cited_paper":"/paper/2002.05709","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:d7d5b23fb3afd6a4b24fc729249007f00e672f3f7e1834403edb7350f22c137c","observation_id":"bb4765df-d409-4c24-adb4-d877c06f39d5","resolution":{"observed_at":"2026-08-10T19:06:04.072718Z","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":"2022.10891","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.890135Z","title":", author Arefan, D","venue":null,"work_id":"7bb0156d-43a3-47fa-ad2e-5d0e80cde570","year":2022},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.078783Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:df0fa738621c83a9e3c47e5d396830148767c06df72e224a014a59203b1e5f1f","observation_id":"354273d1-5be2-4f1d-aba1-0d1f0f3688f7","resolution":{"observed_at":"2026-08-10T19:06:04.899326Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"10.1371/journal.pone.0280148","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.441063Z","title":", author Ren, T","venue":null,"work_id":"466f7899-e7be-458d-9055-6b59f6e813ae","year":2023},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.083992Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:8ee6b5c35ed2ea99513249e230951234cc4b41770d25c6d4e9ddfd014cde77e1","observation_id":"5d10f481-0dc5-465f-82ef-9186acd85dcd","resolution":{"observed_at":"2026-08-10T19:06:04.447123Z","resolver_source":"doi","status":"verified_exact"},"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":"2112.10740","last_updated":"2021-12-20T18:41:32Z","snapshot_observed_at":"2026-07-06T12:20:43.745885Z","submitted_at":"2021-12-20T18:41:32Z","title":"Are Large-scale Datasets Necessary for Self-Supervised Pre-training?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10740","snapshot_observed_at":"2026-08-10T19:06:04.089007Z","title":", author Izacard, G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.089007Z"},"links":{"cited_paper":"/paper/2112.10740","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:fb29bb73a0f5b8e898a4746b05c1537001f3c9597b1d80c0a3619932ff113217","observation_id":"af85d8ec-a5d6-4afb-aa07-c9e3d06d0295","resolution":{"observed_at":"2026-08-10T19:06:04.089007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/mp.14897","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":", author Ghodrati, V","venue":"Medical Physics","work_id":"4b6c3c40-aa67-4335-b82a-a8e1fbb70332","year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.094959Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:9c26c8b4bab426750f172b12034f3fd98eec223d2dacd3447e7f513e8b4faaf8","observation_id":"51e74c94-a3e7-44eb-a100-42316c8d5729","resolution":{"observed_at":"2026-08-10T19:06:05.083657Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-10T19:06:05.060542Z","title":", author Beckmann, C.F","venue":null,"work_id":"0a1e0725-c2c7-49ff-b7d9-18a9c663d68e","year":2024},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.100532Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:c057aa4414e840378222c93bbd92c6f2ebe525c66310418c4277b7d0589ec73c","observation_id":"9363cdbe-4cc7-4edf-ae3d-42d388de22db","resolution":{"observed_at":"2026-08-10T19:06:05.066317Z","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":"2026-08-10T19:06:05.043151Z","title":", author Zohren, S","venue":null,"work_id":"2da677f0-90f9-4d61-b2d5-971c22873811","year":null},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.105251Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:50bf2ab1f4b026e9966e8c72cc1200ccc43f3fb53cb230a374bfe7c9cce1bf93","observation_id":"a7ed3d44-4ff4-4ce3-bd6e-6c6b9b7e97f3","resolution":{"observed_at":"2026-08-10T19:06:05.048501Z","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":"2006.07733","last_updated":"2020-09-10T09:46:02Z","snapshot_observed_at":"2026-08-14T05:53:12.800111Z","submitted_at":"2020-06-13T22:35:21Z","title":"Bootstrap your own latent: A new approach to self-supervised Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07733","snapshot_observed_at":"2026-08-10T19:06:04.110460Z","title":", author Strub, F","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.110460Z"},"links":{"cited_paper":"/paper/2006.07733","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:8d73d3a871268a238bd9951c63159761df02a0151cf34c4302b6e5ab08973c51","observation_id":"c71f64b5-353b-49f4-86aa-332fd1fa31d8","resolution":{"observed_at":"2026-08-10T19:06:04.110460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.116593Z","title":", author Pareek, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.116593Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:32abe7deb42b9d160a30efe4a38cba2494a6b2e4121a5ef7d534e0dffafa83d4","observation_id":"bd360c02-cab2-4dc5-a5d9-2db22d3779bd","resolution":{"observed_at":"2026-08-10T19:06:04.116593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-319-67558-9_34","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-13T11:03:48.094449Z","title":", author Kadir, T","venue":"Lecture notes in computer science","work_id":"7e22dc6a-448a-4045-8988-a32af95e5b1e","year":2017},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.121935Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:02282f2937002e0262e4830efe532bbb4c112628eb28dd89f3295e26b71114e5","observation_id":"7aeca98b-fce7-4d72-8f29-3948f24fc813","resolution":{"observed_at":"2026-08-10T19:06:05.030313Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1038/s41467-021-22188-y","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.393185Z","title":", author Yu, H","venue":null,"work_id":"11d3969c-9df4-48db-b1ba-74a508287402","year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.127992Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:4cb7568f5f7f7780e28ef0d8541c2d5a766ba09f87422ad222285560cbdd6a28","observation_id":"abb78170-d2d7-4eee-a263-8ff211112e22","resolution":{"observed_at":"2026-08-10T19:06:04.398454Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-10T19:06:05.006856Z","title":", author Yu, H","venue":null,"work_id":"fc02748d-ea61-4c32-a2ca-862dc918a61c","year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.133634Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:7958297612f8d6171df666c4b18d7736cd9e26229ea1fafbad0460327c0864fd","observation_id":"a51d23f9-0b2c-4b20-ac60-bceba37e1b3c","resolution":{"observed_at":"2026-08-10T19:06:05.012023Z","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":"2403.10153","last_updated":"2024-07-15T14:35:13Z","snapshot_observed_at":"2026-08-13T15:32:33.123450Z","submitted_at":"2024-03-15T09:54:04Z","title":"Improving Medical Multi-modal Contrastive Learning with Expert Annotations","version":3},"cited_work":{"arxiv_id":"2403.10153","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.10153","snapshot_observed_at":"2026-08-10T19:06:04.778547Z","title":"Improving Medical Multi-modal Contrastive Learning with Expert Annotations","venue":"cs.CV","work_id":"ac54ad9f-015b-4a3e-8de5-e78fa4a2b470","year":2024},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.138549Z"},"links":{"cited_paper":"/paper/2403.10153","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:b1981ab7d82dd551014abec3657bf0728fced9a07f2e24919226ab6fd14cebc6","observation_id":"ea3d9052-b32b-4521-ad26-88a84d93dfe9","resolution":{"observed_at":"2026-08-10T19:06:04.784611Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"1909.11942","last_updated":"2020-02-09T03:00:18Z","snapshot_observed_at":"2026-07-06T08:24:44.631342Z","submitted_at":"2019-09-26T07:06:13Z","title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11942","snapshot_observed_at":"2026-08-10T19:06:04.143940Z","title":", author Chen, M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.143940Z"},"links":{"cited_paper":"/paper/1909.11942","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:add462a1f3a4fb42bbfeac02679697598b9d302e7a9b8d3ef8c9d501c9507256","observation_id":"a7ee4e5d-ef61-4439-ad21-9a10cde09129","resolution":{"observed_at":"2026-08-10T19:06:04.143940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.radonc.2022.02.013","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.376438Z","title":", author Hu, Y.c","venue":null,"work_id":"30c179b2-76f5-44f0-bcab-0444f3989891","year":2022},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.148678Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:419f0484d44187c05fea833faf846e2e649ed9bd2d6b8eeb257350dbcb2117cb","observation_id":"48700775-ebec-4854-b070-777cc4b3a8e0","resolution":{"observed_at":"2026-08-10T19:06:04.381916Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-10T19:06:04.988682Z","title":", author Chen, S","venue":null,"work_id":"db2f596e-a09c-4396-99e7-d876b371269c","year":2020},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.154053Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:f870c027fd17101b8b30d734c60d8bbb973030d3e356d4a79ec57b807a3005a4","observation_id":"36953d3b-ef45-4994-896c-7a7c87e42895","resolution":{"observed_at":"2026-08-10T19:06:04.994119Z","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":"2201.03545","last_updated":"2022-03-02T15:08:16Z","snapshot_observed_at":"2026-08-13T17:01:49.870760Z","submitted_at":"2022-01-10T18:59:10Z","title":"A ConvNet for the 2020s","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.03545","snapshot_observed_at":"2026-08-10T19:06:04.159067Z","title":", author Mao, H","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.159067Z"},"links":{"cited_paper":"/paper/2201.03545","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:74f1a1729e07d38e11b62a7ebb1ff19961c7cb4af846f02ee1560b828f9fc320","observation_id":"657e7e0d-c32a-4efe-bd54-f9c02a317ccd","resolution":{"observed_at":"2026-08-10T19:06:04.159067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-10T19:06:04.164388Z","title":", author Hutter, F","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.164388Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:d02bc87b895b34ccb53d4b26a70b232c01931790bff8edf3fb06316ad4b28f9e","observation_id":"9509b735-d678-4899-b885-cf40e441018d","resolution":{"observed_at":"2026-08-10T19:06:04.164388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-021-26990-6","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.341658Z","title":", author Dercle, L","venue":null,"work_id":"cb0a185a-d5bd-4de8-b325-e2677f825d0a","year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.169433Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:9281a37e48669fd69a2ece1ce4b46dc6d50b5a2e6c444fae4e62497df330624a","observation_id":"24ea747d-6f72-4dd2-824a-800e1cbb36ed","resolution":{"observed_at":"2026-08-10T19:06:04.346662Z","resolver_source":"doi","status":"verified_exact"},"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":"2026-08-10T19:06:04.970533Z","title":", author Mehta, A.S","venue":null,"work_id":"180a68fa-ce07-4064-9fa5-3954bafe4619","year":2020},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.174653Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:d955665c689f7330ae35e35f90b8e7e93e65f0cd8de07bd656b84bda390fd12e","observation_id":"e3b7a9e2-3d16-49e5-8650-53603e63aa53","resolution":{"observed_at":"2026-08-10T19:06:04.976212Z","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":"2026-08-10T19:06:04.179929Z","title":", author Wang, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.179929Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:d2b50fdef1ecc47fc26b9839b259c690fc64644478d91686cb89555b3d6db6cc","observation_id":"040a6f59-8c4d-4cbe-a0b0-51a8691842b8","resolution":{"observed_at":"2026-08-10T19:06:04.179929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-030-3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.324681Z","title":", author Schmidt-Erfurth, U","venue":null,"work_id":"e5586d29-f981-4770-b23e-1ec9c10ec635","year":2019},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.184920Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:03f1fba668a3ab8e975c863021fe7e81595f1f34dadcfd655892abfdf44964bb","observation_id":"a06db5f8-e65b-4c5f-afcc-a236e02d1c83","resolution":{"observed_at":"2026-08-10T19:06:04.329881Z","resolver_source":"doi","status":"verified_exact"},"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":"2111.14791","last_updated":"2022-03-28T07:53:21Z","snapshot_observed_at":"2026-08-13T17:25:24.086513Z","submitted_at":"2021-11-29T18:45:20Z","title":"Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.14791","snapshot_observed_at":"2026-08-10T19:06:04.189706Z","title":", author Yang, D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.189706Z"},"links":{"cited_paper":"/paper/2111.14791","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:be77a9216e0a8f1ca0621945bd53ed7af70e2da7919df91aaf08c3fbd317d790","observation_id":"a864ecec-fdd3-409a-8eee-176eae36741c","resolution":{"observed_at":"2026-08-10T19:06:04.189706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-10T19:06:04.195206Z","title":", author Shazeer, N","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.195206Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:a2dcf7a46e0d40005020ef584b1bba73f50faf2a4a5461c49ecaeaff85c5225f","observation_id":"8da8091a-397a-40e6-aac3-b55528b0a1ec","resolution":{"observed_at":"2026-08-10T19:06:04.195206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1361-6560/abb1d9","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.308147Z","title":", author Alam, S.R","venue":null,"work_id":"924b5d4a-caff-4513-96b6-10ec72f09827","year":2020},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.201168Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:882229c19a20b55d9541a48a95cd3d165242eb00a52a6a572f2289150fc30d09","observation_id":"57f11773-a269-40f4-9676-226d03674993","resolution":{"observed_at":"2026-08-10T19:06:04.313244Z","resolver_source":"doi","status":"verified_exact"},"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":"10.1002/mp.13765","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":", author Rimner, A","venue":"Medical Physics","work_id":"7e77f109-6ac1-4133-b743-71b29229b314","year":2019},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.206401Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:43b5ae038c0e33f2fceff76c22d07af6e85b9c06cb5191fa5df401af63923991","observation_id":"4c803509-bc85-4fae-941f-a6064ac970ea","resolution":{"observed_at":"2026-08-10T19:06:04.296896Z","resolver_source":"doi","status":"verified_exact"},"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":"2002.04745","last_updated":"2020-06-29T07:55:12Z","snapshot_observed_at":"2026-08-06T10:39:08.684653Z","submitted_at":"2020-02-12T00:33:03Z","title":"On Layer Normalization in the Transformer Architecture","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.04745","snapshot_observed_at":"2026-08-10T19:06:04.211441Z","title":", author Yang, Y","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.211441Z"},"links":{"cited_paper":"/paper/2002.04745","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:c65acb06232b27504aea8a167ce8cf6587f092389f83c02a701002ff51b65a49","observation_id":"bfb5630e-483f-44b8-8df5-fc321cabcf19","resolution":{"observed_at":"2026-08-10T19:06:04.211441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1158/1078-0432.ccr-18-2495","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T19:06:04.269096Z","title":", author Hosny, A","venue":null,"work_id":"57e6dc49-406a-441c-8230-4ee3ecac2051","year":2019},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.216787Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:0f05de32ab7e1c9dd84a823dfedc3874dd24d2d4162a58fdb122c13163a44da4","observation_id":"b0b0835b-a16f-4917-a01b-1cc0be08f58b","resolution":{"observed_at":"2026-08-10T19:06:04.276868Z","resolver_source":"doi","status":"verified_exact"},"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":"2106.09157","last_updated":"2021-09-28T18:01:06Z","snapshot_observed_at":"2026-08-15T03:58:26.767106Z","submitted_at":"2021-06-16T22:15:28Z","title":"Positional Contrastive Learning for Volumetric Medical Image Segmentation","version":3},"cited_work":{"arxiv_id":"2106.09157","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.09157","snapshot_observed_at":"2026-08-10T19:06:04.491522Z","title":"Positional Contrastive Learning for Volumetric Medical Image Segmentation","venue":"cs.CV","work_id":"cb20106a-0918-47e1-ad1c-0d60d34b789d","year":2021},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.221570Z"},"links":{"cited_paper":"/paper/2106.09157","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:b2afe00860d1f374b02a144a0b5ec1408deffb3d6b35c2b02d8f7da21eb383e9","observation_id":"7ddd4568-7e8e-4437-a250-c179be6b098b","resolution":{"observed_at":"2026-08-10T19:06:04.497122Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2201.01426","last_updated":"2022-01-05T03:11:21Z","snapshot_observed_at":"2026-08-15T04:36:52.114014Z","submitted_at":"2022-01-05T03:11:21Z","title":"Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training","version":1},"cited_work":{"arxiv_id":"2201.01426","doi":null,"metadata_source":"pith","pith_arxiv_id":"2201.01426","snapshot_observed_at":"2026-08-10T19:06:04.466725Z","title":"Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training","venue":"eess.IV","work_id":"f49940a7-5b28-4898-9f25-3954c203e323","year":2022},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.226550Z"},"links":{"cited_paper":"/paper/2201.01426","citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:990242a105e7dd89f012a9dac7801280158d48f2311703fb300069de53ebbd1a","observation_id":"8d3f9089-0ec5-411c-bde8-6af68a859e07","resolution":{"observed_at":"2026-08-10T19:06:04.473554Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"10.1007/978-3-031-16437-8_51","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:03:20.376878Z","title":", author Hu, C","venue":"Lecture notes in computer science","work_id":"8bf88d17-6efc-4a56-aca7-3c16fda7f348","year":2022},"citing_paper":{"arxiv_id":"2501.10733","last_updated":"2025-01-22T10:50:37Z","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T19:06:04.232222Z"},"links":{"citing_paper":"/paper/2501.10733"},"observation_digest":"sha256:f7a23866bb8bf3ee1bfda6732f6116b00dceb54a305b66c0f2f1ce545f84d189","observation_id":"4c1cda1c-3683-4205-a346-217376701707","resolution":{"observed_at":"2026-08-10T19:06:04.959245Z","resolver_source":"doi","status":"verified_exact"},"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":"2501.10733","last_updated":"2025-01-22T10:50:37Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T23:39:15.586754Z","submitted_at":"2025-01-18T11:39:46Z","title":"A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":13,"verified_exact":13,"verified_fuzzy":5},"total_outbound_references":33},"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 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.10733."}