{"as_of":"2026-08-11T11:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:03e6357c02764189fab65491d5cd7c8a2399408dd059abba338004be66d65156","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T00:29:02.035021Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.18170/citation-record","integrity":"/paper/2501.18170/integrity","json":"/paper/2501.18170/citation-record.json","paper":"/paper/2501.18170"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.659453Z","title":"The application of deep learning in cancer prognosis prediction","venue":null,"work_id":"a32bc141-bb2d-4230-8496-92726b2d1631","year":2020},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.855614Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:b7b048616190861ae88584f083f9827b4fcd4decc26a6e4ec23c6ddc9737d874","observation_id":"5df1b587-fbf9-4638-b50c-4a0771f7b11a","resolution":{"observed_at":"2026-08-10T00:29:02.662528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:01.859051Z","title":"Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.859051Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:7637079ebfa721637ed600a0cbd2450ec9b5736b9126fc9be11eda813e434c22","observation_id":"aafec957-a1c8-4fc9-b5d0-703ef3058649","resolution":{"observed_at":"2026-08-10T00:29:01.859051Z","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":"2026-08-10T00:29:02.644116Z","title":"Trends in cancer prognosis in a population-based cohort survey: can recent advances in cancer therapy affect the prognosis? Cancer Epidemiology, 39(1):97–103, 2015","venue":null,"work_id":"0424e033-4ff5-4d16-884e-c3bf5b93c9b5","year":2015},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.862602Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:8c6ebb98623e722e355810e130e167849d5f78cb62ee57c657ef7e9ce3151e5c","observation_id":"2f4845de-f4ed-4efb-888d-57e1e670ede2","resolution":{"observed_at":"2026-08-10T00:29:02.647304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.635499Z","title":"Multimodal adversarial representation learning for breast cancer prognosis prediction","venue":null,"work_id":"a228feeb-c7e6-41b1-8d40-9ab32a7e039d","year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.866635Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:10114978c663104d1cd53e850f980fdfdd1eaad2ffeaa4aaa75af58d8037982f","observation_id":"543f4d6d-468c-4d3b-8fcb-f28ea7ba8fbf","resolution":{"observed_at":"2026-08-10T00:29:02.638370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.626303Z","title":"Mbfusion: Multi- modal balanced fusion and multi-task learning for cancer diagnosis and prognosis","venue":null,"work_id":"ba194dec-ee48-4e85-9c70-ed7195aa5c18","year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.870197Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:0911f2217e5fbc4e7f0cdcef3245512db9095246de59d5c38f33c3a1690a5cb1","observation_id":"984218a1-7f62-421f-a5f1-a834e5e86adc","resolution":{"observed_at":"2026-08-10T00:29:02.629292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:01.873676Z","title":"Machine learning applications in cancer prognosis and prediction","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.873676Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:0d3b7c458259bc0cb01550edaa7c1e55648b2c374998dabad0bf123c3fb670f1","observation_id":"fa0199c2-6485-4086-a945-7f92d5166c03","resolution":{"observed_at":"2026-08-10T00:29:01.873676Z","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":"2026-08-10T00:29:02.611475Z","title":"Pathology-and-genomics multimodal transformer for survival outcome prediction","venue":null,"work_id":"e69f217a-e05f-431d-846e-15811905d757","year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.877521Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:950e57452d5b966a56d6a62ff5152129a51f728ddd50289023ed5f016549f4e1","observation_id":"f72a0458-55b2-48cd-bd28-c952dd6a6bdf","resolution":{"observed_at":"2026-08-10T00:29:02.614959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:01.880845Z","title":"A pathology foundation model for cancer diagnosis and prognosis prediction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.880845Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:45816f827207840bfee51a25b94f5e1e4ceeca04fbe6c1c0c8e97b8f43cf22dd","observation_id":"c4197869-b632-482c-8bff-1aa6824c7578","resolution":{"observed_at":"2026-08-10T00:29:01.880845Z","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":"2026-08-10T00:29:02.595544Z","title":"Llm-guided multi-modal multiple instance learning for 5-year overall survival prediction of lung cancer","venue":null,"work_id":"2ab4f915-f045-40b1-b395-f6ab7bcc1248","year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.884083Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:c09b94173d2e64cc720df99618f2676ff1ff78d7697d0ec98442d3c0a55edff2","observation_id":"f3c09a7a-f2fe-4968-95be-9cf51e1ac1e8","resolution":{"observed_at":"2026-08-10T00:29:02.599139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19666","last_updated":"2024-11-29T12:39:57Z","snapshot_observed_at":"2026-08-02T16:14:35.442247Z","submitted_at":"2024-11-29T12:39:57Z","title":"Multimodal Whole Slide Foundation Model for Pathology","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19666","snapshot_observed_at":"2026-08-10T00:29:01.887361Z","title":"Multimodal whole slide foundation model for pathology","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.887361Z"},"links":{"cited_paper":"/paper/2411.19666","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:cf5d7b4a6f8c577542b4a1cf35a050ff48c6faebe9f9eeb9ab8d00b18ce28cc5","observation_id":"70d570c0-77ac-46be-aadd-e6185c1a3029","resolution":{"observed_at":"2026-08-10T00:29:01.887361Z","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":"2026-08-10T00:29:02.585591Z","title":"Clinical applications of continual learning machine learning","venue":null,"work_id":"ceefae5f-eb6e-4335-8226-b4c708f6d792","year":2020},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.891090Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:9e2d6eff2ec32bb600217bcee74d58f4f6e4bc54a9e9922c062d759294db13b4","observation_id":"604322be-5d64-4fa9-872b-11b5811433ed","resolution":{"observed_at":"2026-08-10T00:29:02.589408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.576122Z","title":"Integrating multimodal information in large pretrained transformers","venue":null,"work_id":"a6826136-28f1-471a-84f4-882b5aedb595","year":2020},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.894644Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:835e003a5c4348a8228e0906cc2be0945286050fd23b6105be607e42d03bee55","observation_id":"91185445-8d17-4ffb-b75f-55a1199982be","resolution":{"observed_at":"2026-08-10T00:29:02.579638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.566387Z","title":"Multimodal transformer for unaligned multimodal language sequences","venue":null,"work_id":"2a37ab99-667a-4c5a-b7d3-bb669df27747","year":2019},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.897845Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:541d11e617c8f3be81db4b4820bb4432e30da0cbbeb34499968b3d1d6e238f39","observation_id":"f3614ec9-4bd9-4f65-b4a7-0b95f4c26c7b","resolution":{"observed_at":"2026-08-10T00:29:02.569811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.556269Z","title":"3 4 5 Brat Daniel J","venue":null,"work_id":"4ad7bc8d-253c-4908-9b55-0b4afb73f69a","year":2008},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.900970Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:fbdf3a74575d6ee2eae4c9212d86eb96530a7bdbda3ff858b051bc9f86cdea65","observation_id":"83623341-d02b-4194-a3f2-957cd0cdc968","resolution":{"observed_at":"2026-08-10T00:29:02.559680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.546088Z","title":"Attention is all you need","venue":null,"work_id":"2adea68e-1258-4064-b395-408a09c482d5","year":2017},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.903524Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:06d30418b7b609dca5068df7d65e1b007e5cc8c41b2dc6397d3a7debeaf2a1d3","observation_id":"898b48ed-d4f6-4877-b971-8f611f8d4439","resolution":{"observed_at":"2026-08-10T00:29:02.549534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.536014Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"f90faeb3-9375-424e-af7d-cf4f70fd8be8","year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.906043Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:df0da00d286406ab2c321876ce76f91a4e1444b89a2dc1d66151c9fca2aa645e","observation_id":"2a4b23e4-c963-4110-aed6-6230c1570699","resolution":{"observed_at":"2026-08-10T00:29:02.539618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.527110Z","title":"Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and- language tasks","venue":null,"work_id":"a0d89edc-98b7-4bf2-80e7-5c926d3f060c","year":2019},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.908359Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:7bb298a5320785a564dd7eef4384cbb8aa452e4021125ba3a46e5408675d4885","observation_id":"635511b8-051f-457f-bb17-417960570457","resolution":{"observed_at":"2026-08-10T00:29:02.530004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.518437Z","title":"Lxmert: Learning cross-modality encoder representations from transformers","venue":null,"work_id":"efd5ccf4-1c73-4b28-927b-142b7efa67c4","year":2019},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.910886Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:302e84d41be66fdb390f8ad3b68517215be8f2ce684bc8ef27037005470ab744","observation_id":"078eb2e0-9d36-4eaa-a50d-391b15789054","resolution":{"observed_at":"2026-08-10T00:29:02.521469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.508386Z","title":"Flamingo: a visual language model for few-shot learning","venue":null,"work_id":"f6ee1dd9-fcce-49fc-835f-107429172696","year":2022},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.913250Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:2f329e2b6a987f4e353a1d859e94800b78ce2255acc7b773ecb1cc50386c9318","observation_id":"0826b44e-4c8e-4980-aac1-e3b5a3e295dc","resolution":{"observed_at":"2026-08-10T00:29:02.511922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:01.915835Z","title":"Gpt-4v(ision) system card","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.915835Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:0b2318989cf0a6129edc5b8af225f621de3356a7f8046cd43ea2c6e7b1777962","observation_id":"0143d2da-28b0-4d20-93dd-aa6cf645dd8f","resolution":{"observed_at":"2026-08-10T00:29:01.915835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00097","last_updated":"2025-06-22T04:43:14Z","snapshot_observed_at":"2026-08-03T11:41:14.292837Z","submitted_at":"2024-08-27T02:06:45Z","title":"Large Language Models for Disease Diagnosis: A Scoping Review","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00097","snapshot_observed_at":"2026-08-10T00:29:01.918455Z","title":"Large language models for disease diagnosis: A scoping review","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.918455Z"},"links":{"cited_paper":"/paper/2409.00097","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:8025590d9a44fe09a7be9edfb1f20ce30e54a078432a499f05bb0f5cd3094945","observation_id":"71a71252-d819-494e-b72e-1d40ff97cc65","resolution":{"observed_at":"2026-08-10T00:29:01.918455Z","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":"2026-08-10T00:29:02.495072Z","title":"Multi-modal medical image diagnosis","venue":null,"work_id":"d01df135-82cf-4029-be03-af28cf4c064a","year":2022},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.921504Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:22f48c04f01b98603e3540ee9e136a2669205419f5839d67938131458ce12ece","observation_id":"fe0bfa88-560c-457b-baba-99be40e66d99","resolution":{"observed_at":"2026-08-10T00:29:02.497663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12728","last_updated":"2024-03-03T04:51:28Z","snapshot_observed_at":"2026-08-10T08:48:13.740639Z","submitted_at":"2024-02-20T05:32:24Z","title":"Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12728","snapshot_observed_at":"2026-08-10T00:29:01.924017Z","title":"Modality-aware integration with large language models for knowledge-based visual question answering","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.924017Z"},"links":{"cited_paper":"/paper/2402.12728","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:e0e900232b080560771e9b01d99cb41bbbab73c4c25c22804188caa168502708","observation_id":"2a197725-cb20-4dfb-8efa-c94d7b9d4e32","resolution":{"observed_at":"2026-08-10T00:29:01.924017Z","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":"2026-08-10T00:29:02.486731Z","title":"Advances in multimodal human-computer interaction","venue":null,"work_id":"b6efc0f8-b523-450f-9089-c38703284930","year":2022},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.926982Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:81e79310d02b49eac77696a9e768e1ebe64aaf845ea5c32613e232d8c408177f","observation_id":"5224d3b9-3afe-4bf3-a6ab-21684a0ce2fe","resolution":{"observed_at":"2026-08-10T00:29:02.489381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.479113Z","title":"On the opportunities and risks of foundation models","venue":null,"work_id":"5f58c6c0-f8db-45ca-bc5b-b38045e08352","year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.929649Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:e8daf6ba400e5aa62f88e9d09e5f3005eda5872f391d5f26568e53005dc7b169","observation_id":"88b6fa33-f8bf-4cb8-aba8-63663206a508","resolution":{"observed_at":"2026-08-10T00:29:02.481755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.470841Z","title":"Bert: Pre-training of deep bidirectional transformers","venue":null,"work_id":"2a054bfb-3b01-4222-8cb0-ea82ad34108c","year":2018},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.932198Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:e5259a59e406ddfea4bef85e0e328ebbb793442af42519b6e17e6b444388126f","observation_id":"5d058afa-0928-464e-bd44-36d132bd8626","resolution":{"observed_at":"2026-08-10T00:29:02.474051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.461559Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":"c768d285-6495-464e-bd48-31c6f28d79ac","year":2019},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.934620Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:3b0d9f58a9047e87402d40f3080e0306ab8767c4c741b567611cf2ebfce498df","observation_id":"c8ffd99d-93f0-43ae-9504-5e43d1c0fda5","resolution":{"observed_at":"2026-08-10T00:29:02.464747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.452613Z","title":"Language models are few-shot learners","venue":null,"work_id":"c9a22f2f-94d8-40df-877f-b779d8b035bc","year":2020},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.937728Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:5f4c08d5c242ed6c9effa599c511577f1a8af830cbf6190a1c5063315498bc84","observation_id":"02263d13-d463-4805-96b4-e1d4209ab0dd","resolution":{"observed_at":"2026-08-10T00:29:02.455893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.442874Z","title":"Scaling laws for neural language models","venue":null,"work_id":"ea0e45d9-7013-488e-ac2b-cb0c4607254f","year":2020},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.941086Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:f304d768a14197cadf0d847e7773e42da14d6473ec59cb8503ba30d1b3b8d78c","observation_id":"1681b07f-889e-4f3e-9759-09c4df8560ed","resolution":{"observed_at":"2026-08-10T00:29:02.446693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.433538Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"3dfc2376-b9f4-4d6c-a313-2ae7c60a86b1","year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.944263Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:15e9a14fa2f7a83a3910a73e9eb5ba2229c5fc3b0438a4a5f8aeb174a38c6f9d","observation_id":"40955e78-f20a-4f5d-88cc-b0299c67fc73","resolution":{"observed_at":"2026-08-10T00:29:02.436893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.424210Z","title":"Zero-shot text-to-image generation","venue":null,"work_id":"927a6815-6954-49eb-99eb-1b63ceaa7c6d","year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.947831Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:a4751e77cf59d32ba1757f3a4bad7949ca638f866bec80515968e3149e7cc623","observation_id":"6d837dc1-0998-4ed8-af46-f56d5330ff22","resolution":{"observed_at":"2026-08-10T00:29:02.427693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.413758Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":"2fae492f-dcfc-4fde-a4c3-1fa08d0b7672","year":2022},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.950883Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:d786d7e8d26c5ef473ffdca4e07fb39fccf71eaf0c1b724a6aeb13a1259e6c4a","observation_id":"9ba3ee24-2e80-42e3-bab6-43fbca5b1091","resolution":{"observed_at":"2026-08-10T00:29:02.417942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.404070Z","title":"Gpt-4 technical report","venue":null,"work_id":"46947bf0-7f9d-42a6-9b87-182341c58e8f","year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.954321Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:c4b75467afd3824de5736d4b74896bb432dd81f7876d230d0627871f433b9a59","observation_id":"dad04b23-d9ff-4de2-b1ab-93024d5bf62e","resolution":{"observed_at":"2026-08-10T00:29:02.407469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.395385Z","title":"Highly accurate protein structure prediction with alphafold","venue":null,"work_id":"f6acbc62-ee73-490e-9772-f9bca8b3d205","year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.957474Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:5bacd34b21767fbb40696ea3245b50ff84576fd6920691d2ac744a13538209a4","observation_id":"5eb93708-2f9f-4889-8eb1-42a92261f3f5","resolution":{"observed_at":"2026-08-10T00:29:02.398373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.386340Z","title":"Palm: Scaling language modeling with pathways","venue":null,"work_id":"56b22b49-907d-4c80-a74c-a1a59c9c120d","year":2022},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.960629Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:b2edf146a2a4bf1797287264212b2971efb8152d81316b9c9abafd7da8f52093","observation_id":"e9bb771f-232f-49e6-8cbd-82d91a36385b","resolution":{"observed_at":"2026-08-10T00:29:02.389258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.377152Z","title":"Rt-1: Robotics transformer for real-world control","venue":null,"work_id":"cedf0eb5-2686-434f-8eb7-32bd056dbd7c","year":2022},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.963958Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:b4bfc5041a0ba67356118e518cd43340aa7436c4e871931591265bbe5928d0ca","observation_id":"2d827a8e-1467-45f1-b6c2-a5f7c8ab5cbb","resolution":{"observed_at":"2026-08-10T00:29:02.380511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.367926Z","title":"On the dangers of stochastic parrots","venue":null,"work_id":"c875609d-4fb3-4f44-8b5f-0b485df2114e","year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.967088Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:61533bd53e24cbb4dc8fff38decac1526359dcd23569ab61b00adedfde35c02d","observation_id":"5a596747-3ced-4617-a8d1-b4d8f0765b87","resolution":{"observed_at":"2026-08-10T00:29:02.371017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.358963Z","title":"Ethical and social risks of harm from language models","venue":null,"work_id":"1319a7b7-a6b6-4176-8dc7-f8ba4f6d7f79","year":2022},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.970243Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:875060edc36429f835162122c21cec84d0dba43d0a838461d9f603f2026e1cad","observation_id":"2c2007f3-f33c-45fc-a398-f6e4f4efc04f","resolution":{"observed_at":"2026-08-10T00:29:02.361924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.350234Z","title":"Crema: Generalizable and efficient video- language reasoning via multimodal modular fusion","venue":null,"work_id":"270447cf-b118-44e0-a7df-37e3ecc6f3ec","year":2025},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.974800Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:df47be26de0f73ec220dbcfed166cbc18074c407975254c80f3170d30a3d0e89","observation_id":"59e3db01-6a16-4b85-a7ca-555d8c295126","resolution":{"observed_at":"2026-08-10T00:29:02.353206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.340519Z","title":"Pathformer: a biological pathway informed transformer for disease diagnosis and prognosis using multi-omics data","venue":null,"work_id":"d8963a56-0c9b-4327-b88d-65d7e60a7972","year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.978033Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:1e95a141af536123875ed0daa54b496471acfbd210dcdd2335cc17d2dd1c66a0","observation_id":"2ed75b0b-adda-4726-b4c6-167f3e91a0fa","resolution":{"observed_at":"2026-08-10T00:29:02.344226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19611","last_updated":"2024-06-28T02:35:05Z","snapshot_observed_at":"2026-08-10T22:50:47.611563Z","submitted_at":"2024-06-28T02:35:05Z","title":"Multimodal Data Integration for Precision Oncology: Challenges and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19611","snapshot_observed_at":"2026-08-10T00:29:01.981215Z","title":"Multi- modal data integration for precision oncology: Challenges and future directions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.981215Z"},"links":{"cited_paper":"/paper/2406.19611","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:40eb2734fe7db2b1f95b81bc5815f283c53ffdd2b4a031de53284d3c5ebd6a20","observation_id":"4d766529-bb35-472a-96ba-bde3858e1c45","resolution":{"observed_at":"2026-08-10T00:29:01.981215Z","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":"2026-08-10T00:29:02.330691Z","title":"Multimodal prototyping for cancer survival prediction","venue":null,"work_id":"718f7d8a-0b74-4642-91e8-5cba9e9311af","year":null},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.984889Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:1bab5861ca82a7fa5c4c0b9980ec7df30f7691ff0d91d62c5e32f2de6b90cd1f","observation_id":"ffa3ee74-337d-4123-a08b-5669b4b21353","resolution":{"observed_at":"2026-08-10T00:29:02.334216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.320372Z","title":"Samms: Multi-modality deep learning with the foundation model for the prediction of cancer patient survival","venue":null,"work_id":"ed9576f6-b4ce-4492-962f-c6d7786a047d","year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.988435Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:10caae3a3857a5fef80e104ad27b2f3e427d08630d49b8bd6375b653ff28c62f","observation_id":"532c41f3-70ce-4a69-804f-a6b211606d6a","resolution":{"observed_at":"2026-08-10T00:29:02.324005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15362","last_updated":"2025-03-25T08:49:58Z","snapshot_observed_at":"2026-07-06T18:49:51.231196Z","submitted_at":"2024-07-22T04:09:27Z","title":"A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15362","snapshot_observed_at":"2026-08-10T00:29:01.991895Z","title":"A multimodal knowledge-enhanced whole-slide pathology foundation model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.991895Z"},"links":{"cited_paper":"/paper/2407.15362","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:09f76b99615d823087927d6f019bc021da4900938175a77762779c5f939730ef","observation_id":"efc7d69d-77d1-4446-bce9-140bf8196919","resolution":{"observed_at":"2026-08-10T00:29:01.991895Z","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":"2026-08-10T00:29:01.995530Z","title":"A continual learning survey: Defying forgetting in classification tasks","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.995530Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:5442cc5507d868c58dac9a8644136de19083d46c3744a8efa70fc1a3e44a5e79","observation_id":"d864baac-3273-41a1-8056-820d5cc78e9c","resolution":{"observed_at":"2026-08-10T00:29:01.995530Z","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":"2026-08-10T00:29:02.304312Z","title":"Overcoming catastrophic forgetting in incremental few-shot learning by finding flat minima","venue":null,"work_id":"8f33742c-f910-4090-acce-d9cfeb4ca406","year":2021},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:01.998786Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:6c4340f8bef1783fb3fe5bf83a7d033374e566bb238cc257cac20c8a9d9577bf","observation_id":"0ee651ad-a516-4427-b459-e56a112fa0d6","resolution":{"observed_at":"2026-08-10T00:29:02.307896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.001210Z","title":"A comprehensive survey of continual learning: theory, method and application","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.001210Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:0bbf207a2b877045d294db0cc0a07b7a6a780a871b79ba05341e457c52e47fa1","observation_id":"29c85e94-7486-43a6-9a96-636e5eb4db9b","resolution":{"observed_at":"2026-08-10T00:29:02.001210Z","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":"2026-08-10T00:29:02.287397Z","title":"Recent advances of foundation language models-based continual learning: A survey","venue":null,"work_id":"1400e099-54e6-449e-a578-eb10b51faa2e","year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.003682Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:c2b64dd3f2c6fac5a965f4584e7cea2de7765394a75989b1feb714e7abdf9edc","observation_id":"eab507c7-22ef-4b46-aa6a-b5de908ecc13","resolution":{"observed_at":"2026-08-10T00:29:02.291083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16789","last_updated":"2024-11-25T05:27:13Z","snapshot_observed_at":"2026-08-06T00:13:40.325158Z","submitted_at":"2024-04-25T17:38:57Z","title":"Continual Learning of Large Language Models: A Comprehensive Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16789","snapshot_observed_at":"2026-08-10T00:29:02.006147Z","title":"Continual learning of large language models: A comprehensive survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.006147Z"},"links":{"cited_paper":"/paper/2404.16789","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:3a6b4eb4f155af3e1d3f91ada6fd655bf67a8d40796eaa228a23952850a41e16","observation_id":"d6b7f3a3-1376-4f5c-9496-6f7e337d1309","resolution":{"observed_at":"2026-08-10T00:29:02.006147Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01364","last_updated":"2024-02-07T07:14:39Z","snapshot_observed_at":"2026-08-04T18:35:41.659861Z","submitted_at":"2024-02-02T12:34:09Z","title":"Continual Learning for Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01364","snapshot_observed_at":"2026-08-10T00:29:02.009153Z","title":"Continual learning for large language models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.009153Z"},"links":{"cited_paper":"/paper/2402.01364","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:7e54c709dcf637057042c9d25e9f0afdc6ecd5a5c21a05d6daa7e16f4ca8d72f","observation_id":"c7cb4721-32a7-49f0-92d8-680c67d49870","resolution":{"observed_at":"2026-08-10T00:29:02.009153Z","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":"2026-08-10T00:29:02.011852Z","title":"Efficient continual pre-training for building domain specific large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.011852Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:7d1e4364261558c293af24b9d461450cb416fda7f85c182871319e2a682aa818","observation_id":"f2adaacd-5bea-4c20-87c7-7b84c694fa28","resolution":{"observed_at":"2026-08-10T00:29:02.011852Z","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":"2026-08-10T00:29:02.014435Z","title":"Large- scale lifelong learning of in-context instructions and how to tackle it","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.014435Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:b27336f752404ac70b7c94a640e3c14bcb74842fc6b2b58a711337ddd0d10d98","observation_id":"06b9bcb6-c71e-47e4-9832-b0bc90d2ee2e","resolution":{"observed_at":"2026-08-10T00:29:02.014435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15694","last_updated":"2024-03-26T11:52:59Z","snapshot_observed_at":"2026-08-06T18:38:16.057188Z","submitted_at":"2023-10-24T10:05:32Z","title":"COPR: Continual Learning Human Preference through Optimal Policy Regularization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15694","snapshot_observed_at":"2026-08-10T00:29:02.016876Z","title":"Copf: Continual learning human preference through optimal policy fitting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.016876Z"},"links":{"cited_paper":"/paper/2310.15694","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:e66249ca971d617b51a025852c27f12d3357d55aca8afe609b31b80796f6ecc3","observation_id":"43a710c3-0197-4642-b6e5-a348367b437b","resolution":{"observed_at":"2026-08-10T00:29:02.016876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13050","last_updated":"2026-05-12T10:24:10Z","snapshot_observed_at":"2026-07-06T20:08:38.939649Z","submitted_at":"2024-12-17T16:13:56Z","title":"Modality-Inconsistent Continual Learning of Multimodal Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13050","snapshot_observed_at":"2026-08-10T00:29:02.019922Z","title":"Modality-inconsistent continual learning of multimodal large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.019922Z"},"links":{"cited_paper":"/paper/2412.13050","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:e0d302adca05dae3b49919af2a54575ff54e1cc8a3bad928b1afb576ca9c51fa","observation_id":"4657aa21-c849-4fbe-a867-7953a48e2a0f","resolution":{"observed_at":"2026-08-10T00:29:02.019922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05849","last_updated":"2025-08-25T05:25:26Z","snapshot_observed_at":"2026-07-06T19:29:36.787126Z","submitted_at":"2024-10-08T09:35:37Z","title":"ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05849","snapshot_observed_at":"2026-08-10T00:29:02.023372Z","title":"Modalprompt: Dual- modality guided prompt for continual learning of large multimodal models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.023372Z"},"links":{"cited_paper":"/paper/2410.05849","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:1707a3ea53b006a4f9922c4379fc70ebd2882af6fcd88824dca15b2bf75998d0","observation_id":"03bdeb5d-f625-4810-8f9e-5c5162c09399","resolution":{"observed_at":"2026-08-10T00:29:02.023372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16664","last_updated":"2024-10-23T16:27:48Z","snapshot_observed_at":"2026-08-07T03:46:19.220558Z","submitted_at":"2024-02-26T15:35:24Z","title":"LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16664","snapshot_observed_at":"2026-08-10T00:29:02.026335Z","title":"Llm-assisted multi-teacher continual learning for visual question answering in robotic surgery","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.026335Z"},"links":{"cited_paper":"/paper/2402.16664","citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:043f4bbd10d7739a1647387b12a950bd2128fccbab87f79573b91b4ed957a4f6","observation_id":"85baab97-ab37-4fb8-a0be-6c7e13fa04b0","resolution":{"observed_at":"2026-08-10T00:29:02.026335Z","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":"2026-08-10T00:29:02.271443Z","title":"BLIP-2: Bootstrapping language- image pre-training with frozen image encoders and large language models","venue":null,"work_id":"d99dc3f5-7ce2-4cb8-9c6d-ded7f30a7110","year":2023},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.029421Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:9c52af8ba46ebc2029348532d9513f14993399cfc56fbbc05c0feb399382c2ac","observation_id":"14d5dba6-f46f-4b60-8b6d-81d8892dcbbd","resolution":{"observed_at":"2026-08-10T00:29:02.274996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.261231Z","title":"marugoto: Machine learning for medical images, 2024","venue":null,"work_id":"c86be6d3-d149-4465-a142-d242c7565a8c","year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.032181Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:ccfc725215fbb04390028b71715e1f22e0c2438355e4d1e7c2c70067c7eed13e","observation_id":"baeb0250-89f7-4292-bb67-7cf43de2dab3","resolution":{"observed_at":"2026-08-10T00:29:02.264696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:29:02.249141Z","title":"Bulkrnabert: Cancer prognosis from bulk rna-seq based language models","venue":null,"work_id":"8d8294c2-7d1d-4ca7-9740-569273dd611d","year":2024},"citing_paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-10T00:29:02.035021Z"},"links":{"citing_paper":"/paper/2501.18170"},"observation_digest":"sha256:29261fc2aa3b671b3c6ee778ec18c3f5adb2165c90ade47ebd491787f0b5af39","observation_id":"8b203217-5ea5-4d8c-a2b4-b07a4dd0ffa8","resolution":{"observed_at":"2026-08-10T00:29:02.254556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.18170","last_updated":"2025-02-01T03:19:00Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T00:22:57.169279Z","submitted_at":"2025-01-30T06:49:57Z","title":"Continually Evolved Multimodal Foundation Models for Cancer Prognosis"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":40},"total_outbound_references":59},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2501.18170."}