{"as_of":"2026-08-10T06:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:76b9427127edbafd1581764f26020fcbb263408a6d7caf5dd1c772cdc97a6731","coverage":[{"denominator":142,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T11:34:09.268002Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2502.04356/citation-record","integrity":"/paper/2502.04356/integrity","json":"/paper/2502.04356/citation-record.json","paper":"/paper/2502.04356"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:34:07.677975Z","title":"Heterogeneous data and big data analytics,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.677975Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:ba987f05d9fa75f5e67d35d59fed7babdb34732669a9fca0a18d9f008d94d8a6","observation_id":"202fe2ef-beb8-4330-9f27-458e1aabadcd","resolution":{"observed_at":"2026-08-09T11:34:07.677975Z","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":"2026-08-09T11:34:07.714963Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.714963Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:dcc1e397782b58955a578139c676956c793e5bdd942ef976c1667b1a53e6f234","observation_id":"d0091975-96ee-4beb-9f77-5ecd476cb772","resolution":{"observed_at":"2026-08-09T11:34:07.714963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-09T11:34:07.755916Z","title":"Language models are few-shot learners,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.755916Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0b54d502d255ed4c81f1e2118a924122c6b8dadb4e8629e351309f7cd275b8e6","observation_id":"35e3f4b8-fba8-4474-8708-652bac2fdddc","resolution":{"observed_at":"2026-08-09T11:34:07.755916Z","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":"2026-08-09T11:34:07.789558Z","title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.789558Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:55c5eed7a3d90add62429465292c0e2f53fc009bbbc2c95b8aeca3e2134754ee","observation_id":"f0ebc034-5c79-4450-ba3f-3777bcf69cc3","resolution":{"observed_at":"2026-08-09T11:34:07.789558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12712","last_updated":"2023-04-13T20:41:31Z","snapshot_observed_at":"2026-08-03T04:49:15.195814Z","submitted_at":"2023-03-22T16:51:28Z","title":"Sparks of Artificial General Intelligence: Early experiments with GPT-4","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12712","snapshot_observed_at":"2026-08-09T11:34:07.815945Z","title":"Sparks of artificial general intelligence: Early experiments with GPT-4,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.815945Z"},"links":{"cited_paper":"/paper/2303.12712","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:c36edc7a15b625811f906d45cd0c0cc7f00e9302c572ccf278b4dd98057213ad","observation_id":"9e34d75d-6064-405c-9e18-95145d6a0774","resolution":{"observed_at":"2026-08-09T11:34:07.815945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.07461","last_updated":"2019-02-22T23:53:34Z","snapshot_observed_at":"2026-07-06T06:34:26.609892Z","submitted_at":"2018-04-20T06:35:04Z","title":"GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07461","snapshot_observed_at":"2026-08-09T11:34:07.848600Z","title":"GLUE: A multi-task benchmark and analysis platform for natural language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.848600Z"},"links":{"cited_paper":"/paper/1804.07461","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:02e0bcf4ab44143183d97f2e6eefa44e7757faaaaacf84aa4510f7a736e64268","observation_id":"0d6cbbb4-f003-40d6-806e-2a2a63918eda","resolution":{"observed_at":"2026-08-09T11:34:07.848600Z","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":"2026-08-09T11:34:07.893933Z","title":"Winogrande: An adversarial winograd schema challenge at scale,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.893933Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:e889c799b53431d5ac28aeabe5efd347dd054878297d1b889a8abba582ab2ee5","observation_id":"b3c96f1a-e191-488b-b6b2-c831cd4e45bc","resolution":{"observed_at":"2026-08-09T11:34:07.893933Z","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":"2026-08-09T11:34:07.917387Z","title":"Language mod- els are few-shot learners,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.917387Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:aabd1f9d16d201ab10214ff43c9b5d557d397fed263fe3c81671d855389ef10c","observation_id":"e3751d87-c555-4a8c-a170-fd2761fcbb62","resolution":{"observed_at":"2026-08-09T11:34:07.917387Z","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":"2026-08-09T11:34:07.928181Z","title":"Zero-shot clinical trial patient matching with LLMs","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.928181Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:2d1bdd199db8de735b0c7b6a920e0cb6ecfb83f8e651b5b5063aa72e38343f29","observation_id":"8e415e29-e41b-4628-88bd-77b43ddd46f3","resolution":{"observed_at":"2026-08-09T11:34:07.928181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.12651","last_updated":"2020-04-27T08:59:57Z","snapshot_observed_at":"2026-08-09T03:44:43.469238Z","submitted_at":"2020-04-27T08:59:57Z","title":"Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.12651","snapshot_observed_at":"2026-08-09T11:34:07.939246Z","title":"Recall and learn: Fine-tuning deep pretrained language models with less forgetting,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.939246Z"},"links":{"cited_paper":"/paper/2004.12651","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:13160db00f636276af9c7eb8c81bebc159776b6ab8c60de857379ed98251b89a","observation_id":"c0e8dce6-9f14-4a84-9ba7-df51cee3bc52","resolution":{"observed_at":"2026-08-09T11:34:07.939246Z","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":"2026-08-09T11:34:07.951551Z","title":"How fine-tuning allows for effective meta-learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.951551Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:6b410995817723d15e79161dd220155a52d12e15541c3b62ddc14a8c2902b531","observation_id":"e4f188dd-4917-422f-9dac-47fe92863079","resolution":{"observed_at":"2026-08-09T11:34:07.951551Z","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":"2026-08-09T11:34:07.962607Z","title":"Robust fine-tuning of deep neural net- works with hessian-based generalization guarantees,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.962607Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:ca7fc49f1dd2b9ea54794d5854402442bb114831d13898223fe0f9972e824364","observation_id":"fe29f10f-98ec-4665-9085-8be71fec755e","resolution":{"observed_at":"2026-08-09T11:34:07.962607Z","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":"2026-08-09T11:34:07.975497Z","title":"Lexfit: Lexical fine-tuning of pretrained language models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.975497Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:00eac11b88f7fd3b24ac8079090120d77d2029a46776f3f2d193b69823030d15","observation_id":"3e40c807-71eb-4ae3-8e14-b190b277cf38","resolution":{"observed_at":"2026-08-09T11:34:07.975497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.05987","last_updated":"2021-03-11T17:22:50Z","snapshot_observed_at":"2026-07-06T09:27:47.020846Z","submitted_at":"2020-06-10T17:57:03Z","title":"Revisiting Few-sample BERT Fine-tuning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.05987","snapshot_observed_at":"2026-08-09T11:34:07.980701Z","title":"Revisit- ing few-sample BERT fine-tuning,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.980701Z"},"links":{"cited_paper":"/paper/2006.05987","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:f8b9d7f0182cbdf428223152acd608adc896038728893ebd8e4fdb732f889ec6","observation_id":"73c654a7-ca1b-40ac-9f70-9ce666f0cfd4","resolution":{"observed_at":"2026-08-09T11:34:07.980701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09227","last_updated":"2023-09-29T17:03:45Z","snapshot_observed_at":"2026-07-06T16:48:09.248740Z","submitted_at":"2023-09-29T17:03:45Z","title":"Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09227","snapshot_observed_at":"2026-08-09T11:34:07.985020Z","title":"Open- sourcing highly capable foundation models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.985020Z"},"links":{"cited_paper":"/paper/2311.09227","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:461ae333542cee8bb656bd104d995f217a33edf9ac5b24d0ab97c248c31aa60c","observation_id":"9c949498-3187-4f36-a6f3-f2c853732314","resolution":{"observed_at":"2026-08-09T11:34:07.985020Z","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":"2026-08-09T11:34:07.989611Z","title":"Position paper: On the societal impact of open foundation models,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.989611Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:82ed0d2d43f101986dec1aa59ed1ca0028247289c743e83bdb9fc0ae9357e21d","observation_id":"b2482206-073b-4b4f-bf7f-bc82833c5ddf","resolution":{"observed_at":"2026-08-09T11:34:07.989611Z","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":"2026-08-09T11:34:07.994083Z","title":"Foundation models in healthcare: Opportunities, risks & strategies forward,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.994083Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:74a78e2a8437502bc769284002d1244e0978b97e5be61304cf695444f61e4e70","observation_id":"d07e0ced-f278-482e-a95f-6ae8978e2d12","resolution":{"observed_at":"2026-08-09T11:34:07.994083Z","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":"2026-08-09T11:34:07.998454Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:07.998454Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:7017c481b0e7951951ba864249e5dbecf63906ff568d00e7952bc9990b9af439","observation_id":"9b78ac73-309d-41d9-b4e2-cce7066c7f9c","resolution":{"observed_at":"2026-08-09T11:34:07.998454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05694","last_updated":"2025-01-27T03:50:31Z","snapshot_observed_at":"2026-07-06T16:29:47.919377Z","submitted_at":"2023-10-09T13:15:23Z","title":"A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05694","snapshot_observed_at":"2026-08-09T11:34:08.002963Z","title":"A survey of large language models for healthcare: from data, tech- nology, and applications to accountability and ethics,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.002963Z"},"links":{"cited_paper":"/paper/2310.05694","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:536bc8eff82cc6c0016ca79b02390d2ab6875c344fe479724e5f1bf58280637a","observation_id":"b5a345dd-d4fd-4891-84d4-5cc7bf600a15","resolution":{"observed_at":"2026-08-09T11:34:08.002963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-09T11:34:08.007474Z","title":"On the opportunities and risks of foundation models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.007474Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:066caedc0e3dda1aa40483903d4409b86696aea8720bef2f7cc9201a2c5f595c","observation_id":"d47bf0f7-392b-4c11-85eb-f02c0c449012","resolution":{"observed_at":"2026-08-09T11:34:08.007474Z","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":"2026-08-09T11:34:08.012070Z","title":"The gradient of generative AI release: Methods and considerations,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.012070Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:53feec15727ebd7df49e8c03b629786596d03fa640844f835558ce0af28a6ec3","observation_id":"868d2555-bba7-4e49-b8b7-5b14544c91f4","resolution":{"observed_at":"2026-08-09T11:34:08.012070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-07-06T16:10:07.931347Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-09T11:34:08.016176Z","title":"Code llama: Open foundation models for code,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.016176Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:dbafd0cbc5b19f8ff30ddf0ae87c3694b75c854ee3ace3ed1d1161f9df8041cb","observation_id":"0eb8b804-caa6-47d9-a358-6d25bffea885","resolution":{"observed_at":"2026-08-09T11:34:08.016176Z","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":"2026-08-09T11:34:08.038458Z","title":"Competition in generative artificial intelligence founda- tion models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.038458Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:1dd4a07f35f5c9141be727a0eca7c60f3b27e454816bc79aa576c63b49146b0e","observation_id":"6783af02-cd5a-4cde-922f-7eab019d49e9","resolution":{"observed_at":"2026-08-09T11:34:08.038458Z","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":"2026-08-09T11:34:08.056960Z","title":"D2. 6: Ontology of licencing, ownership and conditions of use (v1. 0),","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.056960Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:96366279589712dabb920a83c4edbe1ecaa8d11d79bb2bd66126b4f569122961","observation_id":"79ab3ac4-c458-4615-823d-711af4776ab8","resolution":{"observed_at":"2026-08-09T11:34:08.056960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02179","last_updated":"2024-05-29T12:29:08Z","snapshot_observed_at":"2026-08-08T10:16:09.590390Z","submitted_at":"2023-07-05T10:15:07Z","title":"Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.02179","snapshot_observed_at":"2026-08-09T11:34:08.091209Z","title":"Open-source large language models outperform crowd workers and approach ChatGPT in text-annotation tasks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.091209Z"},"links":{"cited_paper":"/paper/2307.02179","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:8ae340212d9d399cc4343b526872aa250bf430586e73b4da27de06fbbe5d537f","observation_id":"fe86cd5c-f59a-4f0e-bf76-efcf1f393c6f","resolution":{"observed_at":"2026-08-09T11:34:08.091209Z","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":"2026-08-09T11:34:08.152463Z","title":"The open source definition (osd),","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.152463Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:45eda12412aab1bad3f0f418d88e55c3eaf394059fc8be5f55eb29832c404aea","observation_id":"eaecc687-59f7-4b07-9854-730e984ed036","resolution":{"observed_at":"2026-08-09T11:34:08.152463Z","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":"2026-08-09T11:34:08.172795Z","title":"DiBona and S","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.172795Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:f274fe616fe0ff45d98139ab11812607abc212243a9b5c0e16c98e65940e1f15","observation_id":"6fdee616-25fb-4924-ac90-d0e2b74dac1f","resolution":{"observed_at":"2026-08-09T11:34:08.172795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-09T11:34:08.209723Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.209723Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:ba8044c242f5b322311c0a03a29ba45b3843d27dc691501188910006e0cb0874","observation_id":"327b8c32-9679-46e1-a147-aa139a5d40c7","resolution":{"observed_at":"2026-08-09T11:34:08.209723Z","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":"2026-08-09T11:34:08.249978Z","title":"On the societal impact of open foundation models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.249978Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:123ae54200738ae048c6c85559b6d8516b2cda1d4e85b6d311784d6d720f7a29","observation_id":"110ff4aa-3467-40db-ad8a-1853b14ab06b","resolution":{"observed_at":"2026-08-09T11:34:08.249978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.04623","last_updated":"2023-08-08T23:29:55Z","snapshot_observed_at":"2026-08-09T22:39:17.904880Z","submitted_at":"2023-08-08T23:29:55Z","title":"Accelerating LLM Inference with Staged Speculative Decoding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04623","snapshot_observed_at":"2026-08-09T11:34:08.291212Z","title":"Accelerating LLM inference with staged speculative decoding,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.291212Z"},"links":{"cited_paper":"/paper/2308.04623","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:f0d8e55cd6bc535ff53bce393d8fff2f3283282ffab6149ee4af296d96e0b14a","observation_id":"56b568f3-c7fe-454f-931e-9c1f242bcc8f","resolution":{"observed_at":"2026-08-09T11:34:08.291212Z","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":"2026-08-09T11:34:08.332370Z","title":"Privacy- preserving artificial intelligence in healthcare: Techniques and applica- tions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.332370Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:b373cf86c60e662aa5b628ec9b2c136905d3176b91ebaffa0992f3f220aca3d2","observation_id":"b9e4d47a-420e-4cab-ad5a-75e0b1278ede","resolution":{"observed_at":"2026-08-09T11:34:08.332370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.05405","last_updated":"2021-02-22T23:53:08Z","snapshot_observed_at":"2026-08-09T21:19:47.730754Z","submitted_at":"2021-01-14T00:57:32Z","title":"Training Data Leakage Analysis in Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.05405","snapshot_observed_at":"2026-08-09T11:34:08.351213Z","title":"Training data leakage analysis in language models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.351213Z"},"links":{"cited_paper":"/paper/2101.05405","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:205efda2c0fcb248942b0fa255b145e3eb69ecbe6ab25e6b15ebbb15929095e6","observation_id":"23a98c24-53b4-4b31-8120-9ff7af9790ea","resolution":{"observed_at":"2026-08-09T11:34:08.351213Z","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":"2026-08-09T11:34:08.356081Z","title":"Extracting training data from large language models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.356081Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:124924b3a4c5a33db054d35d3fe33e2474cf7987e40442453d404e6b7a257d97","observation_id":"8557e339-63e6-4701-9841-e68fe89300d4","resolution":{"observed_at":"2026-08-09T11:34:08.356081Z","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":"2026-08-09T11:34:08.360651Z","title":"Privacy-preserving artificial intelligence techniques in biomedicine,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.360651Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:2e2aec5447c73adf5cfeca70a7113351d8cbd10dd3b9cb89aa88f9e1b099da9e","observation_id":"923fcb49-6f06-4bbc-b1bb-8f2e77b4a63b","resolution":{"observed_at":"2026-08-09T11:34:08.360651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.04872","last_updated":"2020-09-10T14:14:22Z","snapshot_observed_at":"2026-07-06T09:54:31.669810Z","submitted_at":"2020-09-10T14:14:22Z","title":"Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning","version":1},"cited_work":{"arxiv_id":"2009.04872","doi":null,"metadata_source":"pith","pith_arxiv_id":"2009.04872","snapshot_observed_at":"2026-08-09T11:34:10.408512Z","title":"Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning","venue":"cs.CR","work_id":"e1497515-c4bb-4d7a-9bdf-b5cbeea33317","year":2020},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.365566Z"},"links":{"cited_paper":"/paper/2009.04872","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:9af2862b6db1784dc18a1ace17273a746b84803b95ac17c015047375f42a6ac4","observation_id":"7664f312-1265-44d6-88ac-6df86ccba01f","resolution":{"observed_at":"2026-08-09T11:34:10.413342Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T11:34:08.370096Z","title":"Privacy risks of general-purpose language models,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.370096Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:c67ad8841834498c23211002ca17906860dfed3fe35959a796948927c3620a17","observation_id":"100afd3d-a367-4734-b7c7-d218e6f47c53","resolution":{"observed_at":"2026-08-09T11:34:08.370096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.04246","last_updated":"2023-01-10T23:42:30Z","snapshot_observed_at":"2026-08-05T01:34:42.166989Z","submitted_at":"2023-01-10T23:42:30Z","title":"Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.04246","snapshot_observed_at":"2026-08-09T11:34:08.374668Z","title":"Generative language models and automated influence operations: Emerging threats and potential mitigations,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.374668Z"},"links":{"cited_paper":"/paper/2301.04246","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:423b180e1f10065ee7adc04b18eae013a71ff6958fc1fac5ffa5b30b5d5680c5","observation_id":"be3d7b1e-3494-46ad-b6e7-6c20d1862ab9","resolution":{"observed_at":"2026-08-09T11:34:08.374668Z","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":"2026-08-09T11:34:08.379241Z","title":"On the dangers of stochastic parrots: Can language models be too big?","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.379241Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0704ad9b26a68d7a05a185969246c4031d49c0e275cc03abfadb5e11cba8e812","observation_id":"659d1f08-5c8b-4291-a77b-b2384abf7d2b","resolution":{"observed_at":"2026-08-09T11:34:08.379241Z","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":"2026-08-09T11:34:08.383610Z","title":"A machine and human reader study on AI diagnosis model safety under attacks of adversarial images,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.383610Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:1299e5c8445e2186de2c7e71be2e5d1a48ddf151779d74be233ffdd735bd6cb9","observation_id":"0eaea932-1ff2-47f5-8eca-4cb71110f81b","resolution":{"observed_at":"2026-08-09T11:34:08.383610Z","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":"2026-08-09T11:34:08.387921Z","title":"Secure and robust machine learning for healthcare: A survey,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.387921Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0413a34e1f6d5a060c49ef0f691d19284373eb56dfc8638ddbb626f2d6ba0a88","observation_id":"c1a3ebe6-51b1-4ba1-9c7b-bc9a9409a96b","resolution":{"observed_at":"2026-08-09T11:34:08.387921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.05296","last_updated":"2019-02-04T06:03:22Z","snapshot_observed_at":"2026-07-06T06:33:27.452887Z","submitted_at":"2018-04-15T02:33:08Z","title":"Adversarial Attacks Against Medical Deep Learning Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.05296","snapshot_observed_at":"2026-08-09T11:34:08.392145Z","title":"Adversarial attacks against medical deep learning systems,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.392145Z"},"links":{"cited_paper":"/paper/1804.05296","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:05b3ef529b0059b934c399e58ddb3b169d4791aa56619e9bab3179e5126c0ac3","observation_id":"82780489-d8e9-4442-b440-517a61529ca3","resolution":{"observed_at":"2026-08-09T11:34:08.392145Z","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":"2026-08-09T11:34:08.396362Z","title":"Adversarial attacks on medical machine learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.396362Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0fd7ce415bdd0e0571aa440e9bfec3456d0678745876f5781c5d5fe515c31628","observation_id":"7b07034b-b7b0-428e-a9af-8f475568c0a8","resolution":{"observed_at":"2026-08-09T11:34:08.396362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1804.00504","last_updated":"2018-03-23T10:43:16Z","snapshot_observed_at":"2026-08-04T09:29:00.678797Z","submitted_at":"2018-03-23T10:43:16Z","title":"Generalizability vs. Robustness: Adversarial Examples for Medical Imaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.00504","snapshot_observed_at":"2026-08-09T11:34:08.400848Z","title":"Generalizability vs. robustness: adversarial examples for medical imaging,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.400848Z"},"links":{"cited_paper":"/paper/1804.00504","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:f2142e7ab2f4d98607c37f48131d1aa2fc19248c1ed3662f5f05ad3f13dff01c","observation_id":"4d3a9c8b-a74e-45c7-a352-a4903ea27744","resolution":{"observed_at":"2026-08-09T11:34:08.400848Z","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":"2026-08-09T11:34:08.405292Z","title":"Deep learning models for electrocardiograms are susceptible to adversarial attack,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.405292Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:1b644f67ab915a3306ea49bc4f2cde363b7b16cb3e0d197d261da229b4c1b3f4","observation_id":"4f537975-f3c9-4d1c-adb2-97a1c043edf7","resolution":{"observed_at":"2026-08-09T11:34:08.405292Z","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":"2026-08-09T11:34:08.409375Z","title":"Ethical considerations of using ChatGPT in health care,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.409375Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:a8592af319b33e1e2e7af53af0e16627fc04edafe9f4a59846579ad48f5cef74","observation_id":"9fb02284-4031-42b9-a7eb-08a2558e8ceb","resolution":{"observed_at":"2026-08-09T11:34:08.409375Z","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":"2026-08-09T11:34:08.413279Z","title":"Re- enacting machine learning practices to enquire into the moral issues they pose,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.413279Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:3d94cffea8d4747506d85122a8efe648201d5251683d09dacbfb669f07409164","observation_id":"79d6240a-1d12-4ce2-95a9-ba4526e4691f","resolution":{"observed_at":"2026-08-09T11:34:08.413279Z","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":"2026-08-09T11:34:08.417362Z","title":"HIPAA, HIPPA, or HIPPO: What really is the heath in- surance portability and accountability act?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.417362Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:25abbc49f3e1b20399e34d42e0d062b2c0eb085895a76f505a817574b48167c4","observation_id":"3042bd16-f5f8-443f-85f1-5eabea54142b","resolution":{"observed_at":"2026-08-09T11:34:08.417362Z","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":"2026-08-09T11:34:08.421399Z","title":"The european general data protection regulation (GDPR) in mhealth: Theoretical and practical aspects for practitioners’ use,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.421399Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:5295c12cb3bcf50e6abb62b00cd3c268ea13bee5b45c112a5ee1be7ca91565ff","observation_id":"bc73862b-fc3f-45a0-b04d-8e34fe565ca6","resolution":{"observed_at":"2026-08-09T11:34:08.421399Z","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":"2026-08-09T11:34:08.425407Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.425407Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0b6f242154162ce56a57392ac9b050931ab2dd72ca58357d0194d4c4bbdd9d5e","observation_id":"f94e4ba1-fcbe-487c-8082-3648f9b0637c","resolution":{"observed_at":"2026-08-09T11:34:08.425407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.13138","last_updated":"2022-12-26T14:28:24Z","snapshot_observed_at":"2026-07-06T14:35:02.598037Z","submitted_at":"2022-12-26T14:28:24Z","title":"Large Language Models Encode Clinical Knowledge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.13138","snapshot_observed_at":"2026-08-09T11:34:08.429334Z","title":"Large language models encode clinical knowledge,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.429334Z"},"links":{"cited_paper":"/paper/2212.13138","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:12bbafd069f09d7c480796cab8d9f622b7e616bbb943a38d39e7d8f5fe299945","observation_id":"9ddd39df-653b-467e-80be-451e79416a6e","resolution":{"observed_at":"2026-08-09T11:34:08.429334Z","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":"2026-08-09T11:34:08.433563Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.433563Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:f18005550732717f063178f506f8f6697f296156f4f94bc3334e0e2e795fe3bb","observation_id":"92d2e23e-82ec-4886-98c6-fc38322c5e91","resolution":{"observed_at":"2026-08-09T11:34:08.433563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.04992","last_updated":"2023-10-08T03:40:14Z","snapshot_observed_at":"2026-07-06T16:29:19.703823Z","submitted_at":"2023-10-08T03:40:14Z","title":"VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.04992","snapshot_observed_at":"2026-08-09T11:34:08.437542Z","title":"Visionfm: a multi-modal multi-task vision foundation model for generalist ophthalmic artificial intelligence,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.437542Z"},"links":{"cited_paper":"/paper/2310.04992","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:7b5252843aaea6fdb72900c50f82b8d40339431d7adfb5e31722f92e703727da","observation_id":"95baae59-b8d0-49c9-a397-ad7340a5905c","resolution":{"observed_at":"2026-08-09T11:34:08.437542Z","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":"2026-08-09T11:34:08.442179Z","title":"A foundation model for generalizable disease detection from retinal images,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.442179Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:97c2d28cf52258f4fb1f1c0adf62ea2dbc0468d2eb56f41467a263f52111ca7e","observation_id":"c577c849-322a-4323-8a70-4db11b860ae7","resolution":{"observed_at":"2026-08-09T11:34:08.442179Z","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":"2026-08-09T11:34:08.446217Z","title":"Lvm-med: Learn- ing large-scale self-supervised vision models for medical imaging via second-order graph matching,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.446217Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:26bcfe6595be58ae91315fed17e83a5a005addda272db0970476a6ce47462fd4","observation_id":"018b3d0d-2f41-4798-8f58-b32427592722","resolution":{"observed_at":"2026-08-09T11:34:08.446217Z","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":"2026-08-09T11:34:08.466908Z","title":"GLORIA-A globally representative hyperspectral in situ dataset for optical sensing of water quality,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.466908Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:6a4b0266420cd4052b64857f11500e153897213c9a73508e9fe8817ec766b408","observation_id":"6adb6398-a6c3-4551-871e-150fa4683123","resolution":{"observed_at":"2026-08-09T11:34:08.466908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06687","last_updated":"2023-11-06T07:02:19Z","snapshot_observed_at":"2026-07-06T15:41:16.963249Z","submitted_at":"2023-06-11T14:01:17Z","title":"LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06687","snapshot_observed_at":"2026-08-09T11:34:08.509966Z","title":"LAMM: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.509966Z"},"links":{"cited_paper":"/paper/2306.06687","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:169ba94284a46398d257e21b89b0246b4a5ebf84ac2a11fc2043aa3f8bf19676","observation_id":"bd48bb28-a063-490f-ac66-bd8a54c02acb","resolution":{"observed_at":"2026-08-09T11:34:08.509966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08386","last_updated":"2024-05-29T08:57:39Z","snapshot_observed_at":"2026-07-06T15:27:06.126421Z","submitted_at":"2023-05-15T06:49:00Z","title":"PLIP: Language-Image Pre-training for Person Representation Learning","version":2},"cited_work":{"arxiv_id":"2305.08386","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.08386","snapshot_observed_at":"2026-08-09T11:34:10.302606Z","title":"PLIP: Language-Image Pre-training for Person Representation Learning","venue":"cs.CV","work_id":"d4eb375b-0ac5-4ab9-b044-7a1bf9096a3a","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.624614Z"},"links":{"cited_paper":"/paper/2305.08386","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:773b936906f3ccc768cee8678c2cf483217101a5403914bc984d2a04b126e23c","observation_id":"42746904-ec48-4528-8750-0b7d7eb87b83","resolution":{"observed_at":"2026-08-09T11:34:10.307828Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T11:34:08.696801Z","title":"Praveen and V","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.696801Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:111a1b64adcf422cd0a1719504b37833fa75746b9b87ca4429b7bbd4510ff3c4","observation_id":"de69e0e3-d16c-4ffd-bf58-5cfac2ac2f43","resolution":{"observed_at":"2026-08-09T11:34:08.696801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07282","last_updated":"2023-10-12T07:53:53Z","snapshot_observed_at":"2026-07-06T16:31:03.559653Z","submitted_at":"2023-10-11T08:16:35Z","title":"An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT","version":2},"cited_work":{"arxiv_id":"2310.07282","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.07282","snapshot_observed_at":"2026-08-09T11:34:10.281692Z","title":"An Analysis on Large Language Models in Healthcare: A Case Study of BioBERT","venue":"cs.AI","work_id":"2d6f326e-f745-4895-8afd-3543fd5baccd","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.738889Z"},"links":{"cited_paper":"/paper/2310.07282","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:04491fd007743730f9cc9d7ca30ef49160d2f62577d6460946ee1925b8f9d981","observation_id":"db18dd2e-22fc-43ba-921e-fd96c6a4c6d7","resolution":{"observed_at":"2026-08-09T11:34:10.286804Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T11:34:08.809755Z","title":"ChatGPT: Is this version good for healthcare and research?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.809755Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:be9e9131cc79ebc4ce2568d0b01906c25905307c2ae09e84eef0f8ef56b779fd","observation_id":"1e85ba5c-52c9-48eb-bb38-dbc5acdfd942","resolution":{"observed_at":"2026-08-09T11:34:08.809755Z","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":"2026-08-09T11:34:08.851154Z","title":"The future landscape of large language models in medicine,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.851154Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:10dfc3c3b6fb071cdd8830f7a73c74da4d17187c2da706a1bd0e8d94da8e716f","observation_id":"56ceeb8c-3300-456e-8fc7-d1cfe08e49c5","resolution":{"observed_at":"2026-08-09T11:34:08.851154Z","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":"2026-08-09T11:34:08.855444Z","title":"The shaky foundations of large language models and foundation models for electronic health records,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.855444Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:ce73d0c36d49b604cba4eae4db4f2be8243ad36d07e3a743d83c5d7dc7058a39","observation_id":"7003b515-5782-44e8-96c4-c21881904d89","resolution":{"observed_at":"2026-08-09T11:34:08.855444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12081","last_updated":"2024-04-30T22:23:48Z","snapshot_observed_at":"2026-07-06T15:29:57.940337Z","submitted_at":"2023-05-20T03:37:09Z","title":"MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12081","snapshot_observed_at":"2026-08-09T11:34:08.859469Z","title":"AnyPredict: Foundation Model for Tabular Prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.859469Z"},"links":{"cited_paper":"/paper/2305.12081","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:997f191bf3ef0495a3a69d627b9b47356a06d5a296ccae61585ee1ea8c590d63","observation_id":"28929b47-2e0e-4673-a148-70d54892a9a5","resolution":{"observed_at":"2026-08-09T11:34:08.859469Z","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":"2026-08-09T11:34:08.864078Z","title":"Ehr foundation models improve robustness in the presence of temporal distribution shift,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.864078Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:e612f4abe1d5f3fb48c47f5e6c2f4e6a5478b5f795e65ce681f5a58aae5a22bf","observation_id":"5d080b0e-604c-4a44-ae55-bce0e9803895","resolution":{"observed_at":"2026-08-09T11:34:08.864078Z","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":"2026-08-09T11:34:08.868228Z","title":"Large language models encode clinical knowledge,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.868228Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:b3f8be8795555fa5bb379df885d94c25df8a888c974dddd80c5e0bb78ea4368f","observation_id":"0f158e2c-8173-4d4b-a2f6-da534c44c4e7","resolution":{"observed_at":"2026-08-09T11:34:08.868228Z","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":"2026-08-09T11:34:08.872171Z","title":"DeID-GPT: zero-shot medical text de- identification by GPT-4,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.872171Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:ede998d2b7660d22bf7737947d67861f222407e16727b8fbe4169650538ed89e","observation_id":"126f2c59-d516-44b2-97f2-82b6ccf125e2","resolution":{"observed_at":"2026-08-09T11:34:08.872171Z","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":"2026-08-09T11:34:08.876129Z","title":"GPT-4: a new era of artificial intelligence in medicine,","venue":null,"work_id":null,"year":1971},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.876129Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:4980e0613c5118c42dee0ce93a8ef4a3898a8a6b0b3987e294380a01ad52be15","observation_id":"68bbf35d-50b8-4ff5-9e00-f7d588874c08","resolution":{"observed_at":"2026-08-09T11:34:08.876129Z","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":"2026-08-09T11:34:08.879954Z","title":"ChatGPT and Large Language Models (LLMs) in Healthcare: Opportunities and Risks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.879954Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:f5495056176e25ec91053bf143ba99dbd01d17a480eadf6695550fbe463523cc","observation_id":"854c75f8-73ac-43d1-ae08-5f9d76f52344","resolution":{"observed_at":"2026-08-09T11:34:08.879954Z","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":"2026-08-09T11:34:08.884156Z","title":"Domain-specific language model pretraining for biomedical natural language processing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.884156Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:e69de5803aa9220f6abebcf101c1dfe618dd2e9b88c529167121fd5cd5f7ed9a","observation_id":"5c1a0bda-9c60-41a3-ba38-d54159f5fa78","resolution":{"observed_at":"2026-08-09T11:34:08.884156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15072","last_updated":"2024-02-19T07:02:15Z","snapshot_observed_at":"2026-08-07T23:39:17.945301Z","submitted_at":"2023-05-24T11:55:50Z","title":"PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15072","snapshot_observed_at":"2026-08-09T11:34:08.888459Z","title":"PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.888459Z"},"links":{"cited_paper":"/paper/2305.15072","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:98872752a6f381dfa7326517dd9214141639afa16c882d517d0358715e58abec","observation_id":"b145ddc4-2660-4a62-a73f-c0b2791b5796","resolution":{"observed_at":"2026-08-09T11:34:08.888459Z","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":"2026-08-09T11:34:08.892968Z","title":"Conversational AI models for ophthalmic diagnosis: Comparison of ChatGPT and the Isabel pro differential diagnosis generator,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.892968Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:2d8c5c81d04fb089479c75a156426f3b3da17715a0a4bc38d5b557e06e9d0d88","observation_id":"5cb28a80-7cb2-4efe-978f-efe3bd52ffd8","resolution":{"observed_at":"2026-08-09T11:34:08.892968Z","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":"2026-08-09T11:34:08.896856Z","title":"The diagnostic and triage accuracy of the GPT-3 artificial intelligence model,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.896856Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:6fc1a21d854a33d5c974de8eb3d4e625db4c0def98bc70f35c5c14db2b89f9fe","observation_id":"aeabda48-982a-4585-8dc2-b47eac9a8809","resolution":{"observed_at":"2026-08-09T11:34:08.896856Z","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":"2026-08-09T11:34:08.900958Z","title":"Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.900958Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:9f51ac885d5f5969097c20499de0e59bf77f4d8fc3e92342fda1e8b646455ee4","observation_id":"283eebe5-31e7-4321-802b-78c12f882de6","resolution":{"observed_at":"2026-08-09T11:34:08.900958Z","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":"2026-08-09T11:34:08.905132Z","title":"ChatGPT and the future of medical writing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.905132Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:ce2bb1b8537f55a7d7a97e0a528d8cb7f21329d8dc6a2f0cb397f64ba6891df8","observation_id":"8add64a5-578c-4a1d-8b40-ed76588fd061","resolution":{"observed_at":"2026-08-09T11:34:08.905132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04155","last_updated":"2023-04-09T04:06:59Z","snapshot_observed_at":"2026-08-04T00:53:01.203130Z","submitted_at":"2023-04-09T04:06:59Z","title":"Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04155","snapshot_observed_at":"2026-08-09T11:34:08.909151Z","title":"Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Seg- mentation on Whole Slide Imaging,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.909151Z"},"links":{"cited_paper":"/paper/2304.04155","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:e7cd805fdf8238d1d556efb1405b2cda1b55b308a8a80cd9e8925c73f1846165","observation_id":"eb9c6d21-b55d-4700-b6d7-4d291f6b4222","resolution":{"observed_at":"2026-08-09T11:34:08.909151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07875","last_updated":"2023-04-16T19:46:46Z","snapshot_observed_at":"2026-07-06T15:16:17.383715Z","submitted_at":"2023-04-16T19:46:46Z","title":"The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning","version":1},"cited_work":{"arxiv_id":"2304.07875","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.07875","snapshot_observed_at":"2026-08-09T11:34:10.217131Z","title":"The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning","venue":"eess.IV","work_id":"f75e3509-6d9b-44d2-99ef-bae022b974a1","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.913449Z"},"links":{"cited_paper":"/paper/2304.07875","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:e1a50bf43c8fe94eff337de1a48b0621226717c777105eacf8b6a0995be44842","observation_id":"e0d7a3d5-1437-46e9-aa4c-1ac2e72c5eb7","resolution":{"observed_at":"2026-08-09T11:34:10.221921Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T11:34:08.917332Z","title":"Clinical applications of deep learning in breast MRI,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.917332Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:856c4a9331fcdb14d33b1c532504702a1e61c73b44ef6b538b7a128d8ecb3918","observation_id":"8e6b0fcd-2f2f-42b7-b13e-f757114032fa","resolution":{"observed_at":"2026-08-09T11:34:08.917332Z","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":"2026-08-09T11:34:08.921545Z","title":"Pancreatic cancer detection on CT scans with deep learning: a nationwide population-based study,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.921545Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:211c32277592b6e1e5cb596ad5542afe0efbc1b36ac37895ab5a8d333ffbf65c","observation_id":"73a9e119-bb39-4fde-8980-2d90c9c17964","resolution":{"observed_at":"2026-08-09T11:34:08.921545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13375","last_updated":"2023-04-12T16:48:39Z","snapshot_observed_at":"2026-07-06T15:07:11.623462Z","submitted_at":"2023-03-20T16:18:38Z","title":"Capabilities of GPT-4 on Medical Challenge Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.13375","snapshot_observed_at":"2026-08-09T11:34:08.925460Z","title":"Capabilities of GPT-4 on medical challenge problems,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.925460Z"},"links":{"cited_paper":"/paper/2303.13375","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:1b372b27e8fc3ed33281d80069854806d1de3dd75a7782acb60b437915ea61fc","observation_id":"08851527-748e-4b89-8bc1-901e89c0793d","resolution":{"observed_at":"2026-08-09T11:34:08.925460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05480","last_updated":"2024-11-21T22:08:03Z","snapshot_observed_at":"2026-08-05T21:24:20.523602Z","submitted_at":"2023-06-08T18:04:13Z","title":"Artificial General Intelligence for Medical Imaging Analysis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05480","snapshot_observed_at":"2026-08-09T11:34:08.929607Z","title":"Artificial general intelligence for medical imaging,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.929607Z"},"links":{"cited_paper":"/paper/2306.05480","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:28cbaa2fed08a1170aaea1b938dbef2e7eeddfb142f1304e7f17fc079153d3e2","observation_id":"f546d644-db94-4ff0-a6b5-ae940856e6ae","resolution":{"observed_at":"2026-08-09T11:34:08.929607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05705","last_updated":"2023-11-21T19:24:43Z","snapshot_observed_at":"2026-08-09T17:58:22.215574Z","submitted_at":"2023-06-09T06:54:58Z","title":"On the Challenges and Perspectives of Foundation Models for Medical Image Analysis","version":2},"cited_work":{"arxiv_id":"2306.05705","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.05705","snapshot_observed_at":"2026-08-09T11:34:10.168628Z","title":"On the Challenges and Perspectives of Foundation Models for Medical Image Analysis","venue":"eess.IV","work_id":"f7296e3e-60aa-4f5a-bee7-dbc8e1eca1a2","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.933971Z"},"links":{"cited_paper":"/paper/2306.05705","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0fc53f528e7cdcff2139855be6d8ef5941e4534216f9f67023b315a080ccda9d","observation_id":"82f17adb-9008-48a2-9e81-3cfd2abbf418","resolution":{"observed_at":"2026-08-09T11:34:10.173417Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T11:34:08.937895Z","title":"Generalist vision foundation models for medical imaging: A case study of segment anything model on zero-shot medical segmentation,","venue":null,"work_id":null,"year":1947},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.937895Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:48d9a9401f1a0165d6ebc87f7e30de18f6bb904dac9beeb82a13dca43a128794","observation_id":"3800473b-f54d-407b-b0f3-5f9cf71c5547","resolution":{"observed_at":"2026-08-09T11:34:08.937895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.05750","last_updated":"2023-05-22T06:22:40Z","snapshot_observed_at":"2026-07-06T15:14:47.680052Z","submitted_at":"2023-04-12T10:10:03Z","title":"Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.05750","snapshot_observed_at":"2026-08-09T11:34:08.941691Z","title":"Segment anything is not always perfect: An investigation of sam on different real-world applications. arxiv 2023,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.941691Z"},"links":{"cited_paper":"/paper/2304.05750","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:43413ca948a30aeb8a0620af9ba7882d62f2867b2c0ba791b01ff641587ed93c","observation_id":"440f525a-bf54-466d-87ca-f42a8862a7d4","resolution":{"observed_at":"2026-08-09T11:34:08.941691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.13714","last_updated":"2023-05-01T00:41:37Z","snapshot_observed_at":"2026-07-06T15:20:25.388057Z","submitted_at":"2023-04-26T17:54:28Z","title":"Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.13714","snapshot_observed_at":"2026-08-09T11:34:08.963310Z","title":"Evaluation of GPT-3.5 and GPT-4 for supporting real-world informa- tion needs in healthcare delivery,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:08.963310Z"},"links":{"cited_paper":"/paper/2304.13714","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:4e634832b83f626ac07b59e6a27cd395bcdced362d50fda6b940828738b0d2a0","observation_id":"3577b47c-3077-4c65-af96-4d5bb1ee9a93","resolution":{"observed_at":"2026-08-09T11:34:08.963310Z","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":"2026-08-09T11:34:09.037551Z","title":"Implications of large language models such as ChatGPT for dental medicine,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.037551Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:a015d89a6050aaeb8c88b9be95f6a583d3a1ce2492831ab88e09c6e8af82946b","observation_id":"fd0032c0-1977-45af-b1a9-73c6b24c1c5e","resolution":{"observed_at":"2026-08-09T11:34:09.037551Z","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":"2026-08-09T11:34:09.079933Z","title":"The role of ChatGPT, generative language models, and artificial intelligence in medical education: a conversation with ChatGPT and a call for papers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.079933Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:54542e5ba85865d97d4db9ce97388c5288a4367fd76012a44af207638706747b","observation_id":"a576ee52-f0aa-4fda-97e8-053e18e2e0f0","resolution":{"observed_at":"2026-08-09T11:34:09.079933Z","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":"2026-08-09T11:34:09.140132Z","title":"Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.140132Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0692c3f0f6b60a9bd7f4fe0c08e191479efcd6d894b43d68eb9605f9f864923f","observation_id":"f79ed9ac-4ef2-4230-8882-469132dbf757","resolution":{"observed_at":"2026-08-09T11:34:09.140132Z","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":"2026-08-09T11:34:09.217349Z","title":"Van Bulck and P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.217349Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:3eed3b03239f19bd1f3d4b15311cb9bda3d6f3918335714c24ad62214aa8cbc1","observation_id":"ebbac984-41d8-432e-8397-50a091997ff9","resolution":{"observed_at":"2026-08-09T11:34:09.217349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00237","last_updated":"2023-04-29T11:25:43Z","snapshot_observed_at":"2026-07-06T15:21:27.754470Z","submitted_at":"2023-04-29T11:25:43Z","title":"A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions","version":1},"cited_work":{"arxiv_id":"2305.00237","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.00237","snapshot_observed_at":"2026-08-09T11:34:10.119205Z","title":"A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions","venue":"cs.CY","work_id":"f81c4f49-6d96-4abc-9f5d-f97f186b6bd9","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.221857Z"},"links":{"cited_paper":"/paper/2305.00237","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:5c2a24c557edffc1ae84118b994804cbd4ab1038fda4d6439c6b20ee4da233f9","observation_id":"7d921e0e-c610-4651-a936-1fbfd7aff638","resolution":{"observed_at":"2026-08-09T11:34:10.124120Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T11:34:09.226377Z","title":"Large language models in medical education: Opportunities, challenges, and future directions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.226377Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:8871bb6a01155087250c295f08f2e9d573356abf50d0db857c0bce8de3999e60","observation_id":"17800303-4a2e-45d5-b573-bc7b4250c757","resolution":{"observed_at":"2026-08-09T11:34:09.226377Z","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":"2026-08-09T11:34:09.230486Z","title":"Im- proved performance of ChatGPT-4 on the OKAP exam: A comparative study with ChatGPT-3.5,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.230486Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:983476945b69c2c61d766b8d94c3dc8603b3911ecb9e919f410f70fa5fb07228","observation_id":"977e654f-450c-4b03-a92d-57d0e40f7e55","resolution":{"observed_at":"2026-08-09T11:34:09.230486Z","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":"2026-08-09T11:34:09.234467Z","title":"Evaluating the performance of ChatGPT in ophthalmology: An analysis of its successes and shortcomings,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.234467Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:8641a6dd7f706a14d56ff1fed51c7f365cc242ff14bb8757b18b0fc9a219fd65","observation_id":"4d5c568b-6843-479f-8187-16d79535c04a","resolution":{"observed_at":"2026-08-09T11:34:09.234467Z","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":"2026-08-09T11:34:09.238502Z","title":"ChatGPT: Vision and challenges,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.238502Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:0cf0e1df511e8f639747ef1cc78a8d34a858e19dcebbf3689889f59e8f728ade","observation_id":"a0fb88d4-0b62-4b47-9cd5-62df51bbb4e1","resolution":{"observed_at":"2026-08-09T11:34:09.238502Z","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":"2026-08-09T11:34:09.242536Z","title":"AI-based large language models are ready to transform psychological health assessment,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.242536Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:f1c359522e3d6c3b093cdcad9d8b93b7fcc03b2f0c3323c463febc643ab2a2e9","observation_id":"21fcef5b-06b1-4ea0-a05e-bc71493355df","resolution":{"observed_at":"2026-08-09T11:34:09.242536Z","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":"2026-08-09T11:34:11.061590Z","title":"ChatGPT in healthcare: A taxonomy and systematic review,","venue":null,"work_id":"601cf06b-bdb1-4253-8e28-17c5f2ea9eff","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.246495Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:01b100aa64d314fdd70215da3df37f700a604e8d848edfc7660cb8fb71a345dc","observation_id":"8bf6e7fc-14d9-46df-8b65-99d0a4f551e7","resolution":{"observed_at":"2026-08-09T11:34:11.066265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-09T11:34:11.047408Z","title":"ChatGPT: A comprehensive review on background, ap- plications, key challenges, bias, ethics, limitations and future scope,","venue":null,"work_id":"a967067b-a79c-4d39-ba7a-4486311fb2b1","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.250450Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:e894093a5e216cf19748d3f1e453d991df23a70c4497a90e2eb0cd53c808aaf4","observation_id":"c10ed9ef-203a-48ec-9599-98b44821f910","resolution":{"observed_at":"2026-08-09T11:34:11.052197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.14070","last_updated":"2023-06-24T15:26:44Z","snapshot_observed_at":"2026-07-06T15:07:41.634914Z","submitted_at":"2023-03-24T15:29:16Z","title":"ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.14070","snapshot_observed_at":"2026-08-09T11:34:09.255325Z","title":"Chatdoctor: A medical chat model fine-tuned on llama model using medical domain knowledge,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.255325Z"},"links":{"cited_paper":"/paper/2303.14070","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:85099ada93f745a16bd5ae824a357d7fe4be162e112f1ff063401d97b876efd6","observation_id":"6b18d5e3-143a-41f5-9a13-ebbd3073406e","resolution":{"observed_at":"2026-08-09T11:34:09.255325Z","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":"2026-08-09T11:34:11.033027Z","title":"Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge,","venue":null,"work_id":"1b3daa34-47bd-4677-b66d-c33e70512a24","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.259320Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:e3e4f3884c32e4b20fffb1dadb1e140a08a2af1dae12f6c6b612b17058695ddd","observation_id":"c8b156a2-fffe-4f6b-90f1-63634171c937","resolution":{"observed_at":"2026-08-09T11:34:11.037941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.14454","last_updated":"2023-08-25T14:08:38Z","snapshot_observed_at":"2026-08-04T20:48:57.839385Z","submitted_at":"2023-04-27T18:29:05Z","title":"PMC-LLaMA: Towards Building Open-source Language Models for Medicine","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.14454","snapshot_observed_at":"2026-08-09T11:34:09.263835Z","title":"Pmc-llama: Further finetuning llama on medical papers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.263835Z"},"links":{"cited_paper":"/paper/2304.14454","citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:b83d1ebe63b9cee4504c3640428350fb45a66b8e75692f7c4d5ec681d64d4e8e","observation_id":"8f979cb6-70c9-4c37-b147-26304a64975c","resolution":{"observed_at":"2026-08-09T11:34:09.263835Z","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":"2026-08-09T11:34:11.018450Z","title":"AI-generated medical advice—GPT and beyond,","venue":null,"work_id":"05023bce-2982-4ccf-a28b-9ff6cad73395","year":2023},"citing_paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-09T11:34:09.268002Z"},"links":{"citing_paper":"/paper/2502.04356"},"observation_digest":"sha256:049e5af31708bcf9feecaddc90e4d7d3ce996bbaca079a38d0da58fb748c08a8","observation_id":"db56a3b6-1c97-45cd-a28b-5626ab030257","resolution":{"observed_at":"2026-08-09T11:34:11.023006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.04356","last_updated":"2025-02-04T19:16:56Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T04:34:41.906518Z","submitted_at":"2025-02-04T19:16:56Z","title":"Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":90,"verified_exact":6,"verified_fuzzy":4},"total_outbound_references":142},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 100 of 142 outbound references and 0 inbound Pith citation observations for arXiv:2502.04356."}