{"as_of":"2026-08-22T02:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a177190dadc4e241ffd2e637eb74997ca4fbd1ad9f26aa1fa9dfc6fbb96f700d","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T16:22:07.666953Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2501.13277/citation-record","integrity":"/paper/2501.13277/integrity","json":"/paper/2501.13277/citation-record.json","paper":"/paper/2501.13277"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T16:22:08.654734Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"0a94a219-e8f1-4429-a7c8-16338c2f7391","year":2020},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.446659Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:d94df371d8ef8ed296975171f204a8d16a18f6ac337f2fb75c08313dab54dcfd","observation_id":"2f1c41e2-5f02-4152-86de-27025bd6787a","resolution":{"observed_at":"2026-08-10T16:22:08.663378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.636942Z","title":"Nature biomedical engineering, 2021","venue":null,"work_id":"8c909196-eb80-4056-9630-16bbf6dc5855","year":2021},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.455594Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:8b4e221bfbebb3f31ed7ad4080328c35066c7de1a1d1a03c8c7cda2f5b98a39e","observation_id":"cb43008e-12ff-4d87-8cd4-bd1a702529d7","resolution":{"observed_at":"2026-08-10T16:22:08.643213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.07442","last_updated":"2020-12-09T05:00:33Z","snapshot_observed_at":"2026-08-14T12:13:16.010101Z","submitted_at":"2019-08-20T15:46:53Z","title":"TabNet: Attentive Interpretable Tabular Learning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.07442","snapshot_observed_at":"2026-08-10T16:22:07.461027Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.461027Z"},"links":{"cited_paper":"/paper/1908.07442","citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:526a64e4b2096feb4aac84c1f1a3283b7577e949a138c93f11100b21498c13eb","observation_id":"0f5ce4f9-970b-4f6a-b60f-eddc4976e5f0","resolution":{"observed_at":"2026-08-10T16:22:07.461027Z","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":"2026-08-10T16:22:08.619737Z","title":"Nature Medicine, 2022","venue":null,"work_id":"8ce1a21e-b3ad-4d33-a937-da091cf7cfe9","year":2022},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.475443Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:590cafba910198d8a5c9b712cf29f85dfc0433257bd72fcf57543ad4ae4b4b34","observation_id":"cf621363-85a2-4c45-b365-8ed266eb62c5","resolution":{"observed_at":"2026-08-10T16:22:08.624095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.593907Z","title":"Nature Medicine, 2024","venue":null,"work_id":"6ecd77ea-9fa7-4746-b8c3-3d74e41370c0","year":2024},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.482947Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:3fe21050a409c686b6e26c06eb36b853b208adaf012e9da5c30efafeaa7ecd33","observation_id":"71786f09-105d-44b0-ad8d-d428ac816c9a","resolution":{"observed_at":"2026-08-10T16:22:08.601795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.566221Z","title":null,"venue":null,"work_id":"ff62eb5a-cb22-4c5a-b463-2e0c7eec58e4","year":null},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.489812Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:a00f18249d36c7808cee7db7ced92ecf5adb64be07187a507ec596c831721ce8","observation_id":"c6b680ab-a4e0-4f5e-a4a7-3a40392746e1","resolution":{"observed_at":"2026-08-10T16:22:08.572011Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.515829Z","title":"medRxiv, 2024: p","venue":null,"work_id":"59de1bfd-e4fd-4803-898e-897ceb27e878","year":2024},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.502811Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:c3ffd4c451c1ed7d3b461286285c4d279428449d6fefccf11e2272bada5447aa","observation_id":"62cc32ad-5afa-40c7-9fec-1e4c9072f3c3","resolution":{"observed_at":"2026-08-10T16:22:08.520389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.499968Z","title":"npj Precision Oncology, 2024","venue":null,"work_id":"2ad7fbb8-294d-4a82-b2a4-bbb35f233beb","year":2024},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.512686Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:83f4718aaeb42ea7afaf86bd391d60f6cfd83735d55f2145c2fb953b8d5b5bd0","observation_id":"d56b144d-3d47-4aa6-8a9a-1c3f9e055cf7","resolution":{"observed_at":"2026-08-10T16:22:08.503817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.464506Z","title":"Yuan, and K","venue":null,"work_id":"f27e433d-8dcb-4297-8e1c-ecc2ba22e8b2","year":2024},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.519864Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:cea87b29abdd2d91731da65a4cfe08a4fd5153ce904e8b7be6cd250cd003211a","observation_id":"2bbf3f52-5c9b-4087-ba76-8b67eac32296","resolution":{"observed_at":"2026-08-10T16:22:08.471214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.442191Z","title":"Lathrop, and T","venue":null,"work_id":"ec9d050b-3381-4834-8967-655d96558e21","year":1997},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.524963Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:dd5cbb9b8e4793676287bdf93d87beab943962f3d0a0e2a7c782815ab18e34d6","observation_id":"de843eac-7ab0-4072-bdf7-fcb7c0f5ec2b","resolution":{"observed_at":"2026-08-10T16:22:08.448905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.409369Z","title":"Tomczak, and M","venue":null,"work_id":"325c4f65-6bf0-47fb-85f0-86bfcf2f0808","year":2018},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.532465Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:eb53f95063c30f0bd5325b786dba58d1500b097f580618d6466712bca08f5b1f","observation_id":"24b9ed4f-fb7d-4300-9b36-6fde0e624a17","resolution":{"observed_at":"2026-08-10T16:22:08.420075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.391713Z","title":"Efficient multiple instance metric learning using weakly supervised data","venue":null,"work_id":"4850a3d5-69b8-474b-bd59-4f269903554b","year":2017},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.538022Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:e0a4ebccd858946e3035ff8628d06f0ffa875df2cbe833cdbf4fbf2295adb0b7","observation_id":"0460b088-a32a-43a5-bc5b-446839f4c443","resolution":{"observed_at":"2026-08-10T16:22:08.398095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.360526Z","title":"Li, and K.W","venue":null,"work_id":"205c6a5d-37b3-4196-9d31-31111aa3fb60","year":2021},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.543748Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:45e1db5821cf05ccd3f1cb52385e3e94e46b8be32a34e6a6f884082e0b850039","observation_id":"77b9ba6d-5091-4235-a761-875915c8c150","resolution":{"observed_at":"2026-08-10T16:22:08.374161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.334958Z","title":"Smooth attention for deep multiple instance learning: Application to ct intracranial hemorrhage detection","venue":null,"work_id":"83f1565d-34ea-4623-b039-a8f0b4cb5124","year":2023},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.555070Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:23f835e52b329324cb466e560791b836ce5584b53b598d2f93e4f0c3da6a3ceb","observation_id":"71d07ce3-8d02-4b47-aac8-4f15ea4e21ea","resolution":{"observed_at":"2026-08-10T16:22:08.341192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.297831Z","title":"Medical & Biological Engineering & Computing, 2022","venue":null,"work_id":"5c038cb8-f7d2-4023-adcb-b24cf16f1eb6","year":2022},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.570406Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:94a7fae699a5c9a871dc372a163c8b69965aa7e0b23ee640241f788a760104fc","observation_id":"54c97d87-5fb9-4535-a698-719cf7131099","resolution":{"observed_at":"2026-08-10T16:22:08.312969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.274021Z","title":"IEEE transactions on medical imaging, 2020","venue":null,"work_id":"84009fc4-1335-4ec3-ac68-40ed0618d889","year":2020},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.576793Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:aab5a0b65c05c4c0ebb057147bfb6ed7300ec5d4886788c1f5b6b241088396be","observation_id":"c617c05a-2a58-4170-b7b9-bf1f59b9344d","resolution":{"observed_at":"2026-08-10T16:22:08.282886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.246893Z","title":"Momentum contrast for unsupervised visual representation learning","venue":null,"work_id":"26530492-91bb-4a53-98d1-22ce2e031258","year":2020},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.585781Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:6f0c42525ba6ce6914c512f1b0f6c3e28f51473e067fd23baf544fd330645075","observation_id":"4250a01a-c554-4766-a712-7694144b7865","resolution":{"observed_at":"2026-08-10T16:22:08.257301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.224363Z","title":"Advances in neural information processing systems, 2019","venue":null,"work_id":"cc82a3a4-dc7d-48c3-a337-555148aa24e4","year":2019},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.589491Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:4e9cd873e4b4d06b956e123ccd0e9617cb13d0b603a17ef64636a28815b75df2","observation_id":"7e54c1ea-8546-42b9-8811-3e2d29bf1cb2","resolution":{"observed_at":"2026-08-10T16:22:08.230367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.195044Z","title":"Hassan, and G.K","venue":null,"work_id":"65010429-d37b-42e2-a3cc-b2ff7694b2be","year":2023},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.594985Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:54f78360cd16f116782e385a0c967712b112dbfd095a21ea729c56635252d48d","observation_id":"c9d535f1-8f5a-4e84-af6c-b096c9254b5e","resolution":{"observed_at":"2026-08-10T16:22:08.200717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.157281Z","title":"Crossclr: Cross-modal contrastive learning for multi-modal video representations","venue":null,"work_id":"1c99fd48-556e-4abd-a8d9-9e632f7b602f","year":2021},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.602384Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:e131b8b5b394be8c712ae1e5508d57e421dbb0045bc249f35bc0452844dbc146","observation_id":"e1d0e5d5-8758-49a7-9e48-4da03595aadf","resolution":{"observed_at":"2026-08-10T16:22:08.163623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.136590Z","title":"Contig: Self-supervised multimodal contrastive learning for medical imaging with genetics","venue":null,"work_id":"8883c122-a778-4639-a86b-7b80f8df7650","year":2022},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.606930Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:43c3f1cadfdd60ffe89759b1ead3bdcc37aa9c7728fe3e67886c2a7a9c8c9bdf","observation_id":"e9d11279-9955-415d-9def-1e21fba34ff6","resolution":{"observed_at":"2026-08-10T16:22:08.145677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.116737Z","title":"Transcriptomics-guided slide representation learning in computational pathology","venue":null,"work_id":"105e244f-4d87-4c90-92e1-376bca49b99d","year":2024},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.612898Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:ba3bf1a8b59b533d8d3bc17fa32f38aa4338a83ee995f0e2ed3cb998bfeaa404","observation_id":"855c30a3-8083-4bbc-95c5-7e295787be91","resolution":{"observed_at":"2026-08-10T16:22:08.122734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.091560Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"580f71b2-1315-4576-960e-40a218bdfd9b","year":2021},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.617186Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:211e7e081990ee42af9ccc3f90499e02f11cef669334aabb65197fb134b4b349","observation_id":"c2076eb2-cde7-4e3d-88d0-50e711ecb3a2","resolution":{"observed_at":"2026-08-10T16:22:08.100188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.064028Z","title":"Menten, and D","venue":null,"work_id":"c845d111-fbeb-4777-839e-d723c92fb053","year":2023},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.624354Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:61be135ea58883e2bfedce97dbb2bd9647e02d503eb48aca499ad8e0848e3ae8","observation_id":"5df48eaa-1984-460a-aec2-3cfb0d0e3f9a","resolution":{"observed_at":"2026-08-10T16:22:08.072216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.043351Z","title":"Contrastive learning of medical visual representations from paired images and text","venue":null,"work_id":"95c90f93-6aed-4f4c-8fd9-4e08a3bcfa66","year":2022},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.628545Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:91e63d057dfd4afaf11d783a316e01d7444c8010fc51241969febe2bfb8b3889","observation_id":"24488012-4549-4027-85b6-fde7f09946e8","resolution":{"observed_at":"2026-08-10T16:22:08.049518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.015798Z","title":"Nature Biomedical Engineering, 2022: p","venue":null,"work_id":"dc80006d-f2f7-4bd2-9d98-91c64b6d76d1","year":2022},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.635472Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:0446f6ca1482aff6cfda1a530aa10efa0ba636ad20e0db1f44832d03b92cdc25","observation_id":"98618f20-9a30-42fa-8aa9-10790c864730","resolution":{"observed_at":"2026-08-10T16:22:08.022453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:07.991086Z","title":"IEEE transactions on medical imaging, 2020","venue":null,"work_id":"1d645445-18b6-4202-a433-35a91d92595e","year":2020},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.645524Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:e68af2f5ca55bef3bb8ec808c4839886487afce0cc487621e3b15fb4c2063167","observation_id":"6bc7cdd7-29a4-4dbe-ba8a-646e2b92e1fe","resolution":{"observed_at":"2026-08-10T16:22:07.998863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:07.817167Z","title":"Visual language pretrained multiple instance zero-shot transfer for histopathology images","venue":null,"work_id":"49928d69-30d2-429a-88b2-c262f74d5625","year":2023},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.658525Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:823ff6ea24beade5ac6743bf30765c3a78edfdd501bee8a5768ef92550090b47","observation_id":"5b4f9839-a21c-4a23-abb2-3b0113213e7e","resolution":{"observed_at":"2026-08-10T16:22:07.825176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:07.767948Z","title":null,"venue":null,"work_id":"0e2b07af-8ca5-4379-b8d0-df3d0b519d4d","year":2022},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.666953Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:b4ace97880be12b6f4f1000e3a00725f6b906086515b2a96530a8c8c4eb59277","observation_id":"e5a1f711-2a0e-464e-81a6-f37fc6c7356b","resolution":{"observed_at":"2026-08-10T16:22:07.783810Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-10T16:22:08.541037Z","title":null,"venue":null,"work_id":"aefd2f84-75de-424b-8bfa-f902df7b774d","year":null},"citing_paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T16:22:07.498109Z"},"links":{"citing_paper":"/paper/2501.13277"},"observation_digest":"sha256:399f0c35e28b4a31ae43fa1ee887fa551f030f5fb22fb3bc090a758f1ffe988a","observation_id":"dd30a4be-7842-4d18-a47f-5ee0c0c76c1d","resolution":{"observed_at":"2026-08-10T16:22:08.547258Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.13277","last_updated":"2025-01-22T23:56:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T13:25:00.432105Z","submitted_at":"2025-01-22T23:56:37Z","title":"MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":3,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":30},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2501.13277."}