{"as_of":"2026-08-10T06:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3c563685e24660ed93fcd0e9591a47b4b989fbfbd2bbe03dea9a829b3df9060","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:58:35.967227Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.21291/citation-record","integrity":"/paper/2507.21291/integrity","json":"/paper/2507.21291/citation-record.json","paper":"/paper/2507.21291"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:39.568701Z","title":"In: Ad- vancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond (2024)","venue":null,"work_id":"8252c603-0e93-4449-8ad8-3a32bfa7e93d","year":2024},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:32.822561Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:e9e81dffb238c0b652b267676edc8c77aac0d44115ef207d030b3183031f3e6a","observation_id":"ebec3188-95d6-4fab-ad80-91aa369a3b1e","resolution":{"observed_at":"2026-08-06T12:58:39.671429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:32.857110Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:32.857110Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:8276c846a04f7e55cad35ca785d628f1231343dde060b828989cda2d22ef4824","observation_id":"8a12aeb3-1f5a-4888-8126-262cf132554a","resolution":{"observed_at":"2026-08-06T12:58:32.857110Z","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":"2026-08-06T12:58:32.935646Z","title":"In: European conference on computer vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:32.935646Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:402908c998b9de2ebb113c0c575d986e420e40d5381c571681387c7818bab21c","observation_id":"da89ca9b-260e-46dc-9518-576d1b0d1d5a","resolution":{"observed_at":"2026-08-06T12:58:32.935646Z","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":"2026-08-06T12:58:33.081568Z","title":"14944064","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:33.081568Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:3628bd5ca5a6a1e1dda02d054ff0e485c24bfcd8f856eb0314081c988bc61075","observation_id":"bf27d2b0-260d-4625-a8b6-d321e07c4741","resolution":{"observed_at":"2026-08-06T12:58:33.081568Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06542","last_updated":"2024-10-09T04:36:47Z","snapshot_observed_at":"2026-08-07T23:02:58.579840Z","submitted_at":"2024-10-09T04:36:47Z","title":"MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06542","snapshot_observed_at":"2026-08-06T12:58:33.269046Z","title":"arXiv preprint arXiv:2410.06542 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:33.269046Z"},"links":{"cited_paper":"/paper/2410.06542","citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:32445b3e4f16165d6526c4ccfefb63bf2901fff2791bc87237027baccd897d25","observation_id":"eaf99182-c666-4ec6-b281-6c44c43f50fc","resolution":{"observed_at":"2026-08-06T12:58:33.269046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.02244","last_updated":"2025-05-21T09:08:16Z","snapshot_observed_at":"2026-08-07T23:03:57.883490Z","submitted_at":"2023-09-05T13:52:43Z","title":"Augmenting Chest X-ray Datasets with Non-Expert Annotations","version":3},"cited_work":{"arxiv_id":"2309.02244","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.02244","snapshot_observed_at":"2026-08-06T12:58:36.299348Z","title":"Augmenting Chest X-ray Datasets with Non-Expert Annotations","venue":"cs.CV","work_id":"0edd0233-8f20-448d-8d52-d4bcb68b4375","year":2023},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:33.386384Z"},"links":{"cited_paper":"/paper/2309.02244","citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:4297da35c78a3c6dfdbc1672f84ae64826527454b48e7665ca6d9ccd2799ec11","observation_id":"bc2d7985-0dd3-4dda-ba1b-b810f58bbb7c","resolution":{"observed_at":"2026-08-06T12:58:36.404217Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:39.354726Z","title":"In: Medical Imaging with Deep Learning (2025), https://openreview.net/forum?id=RuqEg2XAWq","venue":null,"work_id":"1ea3361f-5e3f-42b9-8544-48c8914dd2c2","year":2025},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:33.468329Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:7c01c81bf2ea623e20db46a228bbf0f0af35646dc8d03591a2a310e8bec9cc9f","observation_id":"adcc8920-35da-4adf-b804-5356a4c02f60","resolution":{"observed_at":"2026-08-06T12:58:39.454756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:39.185943Z","title":"The Lancet Digital Health 4(6), e406–e414 (2022) 10 T","venue":null,"work_id":"920fb276-473a-4c52-92f8-7bcb20c0c7fa","year":2022},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:33.673106Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:78b1db7318d394c1ae0190c4b0974086a06a5182ddde516f12769006dc9b05c0","observation_id":"0b6686ac-452b-4071-a35f-19013c8eeab9","resolution":{"observed_at":"2026-08-06T12:58:39.250153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:33.834497Z","title":"EBioMedicine89 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:33.834497Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:d61e88ed6e2cdb5a4df846f835c079e123202d9f2e65b43c256e68fa2cf9db4d","observation_id":"cc5abe2e-639c-430c-8bac-35114f88103b","resolution":{"observed_at":"2026-08-06T12:58:33.834497Z","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":"2026-08-06T12:58:38.874860Z","title":"Nature Reviews Cancer18(8), 500–510 (2018)","venue":null,"work_id":"6425a716-b3be-4870-bc03-7488582f1134","year":2018},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:33.976989Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:3f94b65dbe611935f76220e6449fd7300121f031f3bf01bc424608b14852b0d9","observation_id":"7caca877-6244-4f42-a51e-1a74087427c0","resolution":{"observed_at":"2026-08-06T12:58:39.076286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:38.579535Z","title":"In: 2023 IEEE 20th In- ternational Symposium on Biomedical Imaging (ISBI)","venue":null,"work_id":"1dd1fa6f-ebab-415c-ab5f-7f859d881c0f","year":2023},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.106473Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:20b8776b57e9c4ff52a6f33135c5d1b0717efc023467ae7ff3de97f6748b84cc","observation_id":"40e827fa-b03d-439f-9781-5a45491d40c4","resolution":{"observed_at":"2026-08-06T12:58:38.714194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:34.251273Z","title":"Scientific data 6(1), 317 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.251273Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:4f783a9e25fe1cf350ba839294c0fd35311ad2a3171ce6d2eef38bb4e830b2ce","observation_id":"64291431-2046-4c3c-8a7d-3db1aa3307e7","resolution":{"observed_at":"2026-08-06T12:58:34.251273Z","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":"2026-08-06T12:58:38.327274Z","title":"PhysioNet (2024)","venue":null,"work_id":"50b435b2-633e-4e5e-ae04-d9dc3e82ab06","year":2024},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.276480Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:91d521be55a5ad303b67f6fa597fee3aeaeddcf3bd47e9564972a5f1d27f8264","observation_id":"503be466-c635-47e5-9718-8a9488a7c3e6","resolution":{"observed_at":"2026-08-06T12:58:38.446437Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:34.370448Z","title":"Proceedings of the National Academy of Sciences117(23), 12592–12594 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.370448Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:b39c64fccbdf938ce13de6070e6a39dbda586da86475dbcce8e6cae5c3bfd7a3","observation_id":"8966c805-86b7-4fc3-ac8d-7967deb92b7a","resolution":{"observed_at":"2026-08-06T12:58:34.370448Z","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":"2026-08-06T12:58:34.496381Z","title":"Ad- vances in Neural Information Processing Systems35, 17612–17625 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.496381Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:5afb0a466dfd8e236878ee54bf79bc8b696d1e5d1f4fa547589ee037ba215e34","observation_id":"e640bf7f-e574-4e41-ac36-3fe65ee51b39","resolution":{"observed_at":"2026-08-06T12:58:34.496381Z","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":"2026-08-06T12:58:34.623263Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.623263Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:9df753d9edb2d9cb449e90190c4c4d50d91578b8cbad3d140588ec4dc15770f2","observation_id":"0c9fefcb-7fb6-41cf-865f-100fa4c0f7a7","resolution":{"observed_at":"2026-08-06T12:58:34.623263Z","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":"2026-08-06T12:58:37.988510Z","title":"European Radiology34(12), 7895–7903 (2024)","venue":null,"work_id":"8fd3ef38-5ded-43aa-aa17-2f20d6ac92ec","year":2024},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.812023Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:b762e452d0766dd46be954667a599090c79d16d830d0cc78c10bac56a235e324","observation_id":"92cea27b-a13f-4f39-bd3e-452c28967071","resolution":{"observed_at":"2026-08-06T12:58:38.065214Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:34.960507Z","title":"In: Proceedings of the ACM conference on health, inference, and learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:34.960507Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:e5849b72f788d94e37e6b47d14a787c94081dbaef2df7328a1e079c35a55b7e1","observation_id":"f2dc18e3-bfd6-42f9-990b-61f4f4fcbca9","resolution":{"observed_at":"2026-08-06T12:58:34.960507Z","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":"2026-08-06T12:58:37.768090Z","title":"Research Square pp","venue":null,"work_id":"f4ce02b9-3b7e-4250-89c1-37f58b6581bf","year":2024},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.087879Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:5ff5589037dc3b28232f78344a1fa3ee15377f7a4c97fcfe0609acf4dbd52711","observation_id":"274131dd-f15a-44e1-a668-f1e7151148ff","resolution":{"observed_at":"2026-08-06T12:58:37.884781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:37.565437Z","title":"In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=uAFHCZRmXk","venue":null,"work_id":"0dab4fac-6dfe-4a48-9a99-754a68f4965d","year":2025},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.269709Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:7f599d5368b992ec84faa12178d5ed970443ec6a2285c4c8b036611d4b786997","observation_id":"ea050f4c-fb76-48c0-9e22-ba05d19ee745","resolution":{"observed_at":"2026-08-06T12:58:37.639890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:37.389935Z","title":"Nature medicine27(12), 2176–2182 (2021)","venue":null,"work_id":"40afaf67-5fdf-4bf0-919e-ca652186e520","year":2021},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.353091Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:1362beb305a61f2eb40c43305666490c8f3bb2fd1407e7858361f058f07b3b33","observation_id":"07749e55-7fab-4e2b-9339-20c6a97a0eff","resolution":{"observed_at":"2026-08-06T12:58:37.494565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2196/10010","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"JMIR medical informatics7(3), e10010 (2019)","venue":"JMIR Medical Informatics","work_id":"704de895-29c1-48a5-9b86-086093751394","year":2019},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.435712Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:2b989b6960cf06bb4852b241bb0d6135cff681333c18cc0fe4d62a1f5dbd2998","observation_id":"5ce575b1-2df1-4f6d-b66e-33acf3df4d62","resolution":{"observed_at":"2026-08-06T12:58:36.169221Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:37.214556Z","title":"Journal of Imaging Informatics in Medicine pp","venue":null,"work_id":"d1aa1d88-88fd-4690-ab37-df2266347731","year":2025},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.483243Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:f3feb18d75c4da8938e77d7b704781296cfa1680d8356e932ec52f1205855a97","observation_id":"6d9d99a7-6305-46e2-8333-ac378897b882","resolution":{"observed_at":"2026-08-06T12:58:37.289604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:37.007907Z","title":"Nature biomedical engineering6(12), 1399–1406 (2022)","venue":null,"work_id":"e86c2b95-d84a-4611-a295-b6bc2af5f62f","year":2022},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.604763Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:f76f0696b45bb7e96dcdbcbe9d9ab5874df83bd90d883ec29407d99d9272e54f","observation_id":"552733a0-5d57-4531-9a97-11ba73be1dff","resolution":{"observed_at":"2026-08-06T12:58:37.104058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:36.770737Z","title":"In: Computer Vision and Pattern Recognition","venue":null,"work_id":"7d5e653b-be53-4d9e-94bc-a227f97be6d8","year":2017},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.682460Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:e71a5c8ba2f0d3da69fa919eeb3f2ddd6fe3e4744fdb22df3f67e1c80e02f244","observation_id":"4cae8f78-6bc4-48b1-b26e-f63c2e14198d","resolution":{"observed_at":"2026-08-06T12:58:36.902075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:35.796223Z","title":"In: Proceedings of the Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.796223Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:f078093d4dc68a287dbd77748555a30341d20158360ea2ecd7956296e824655f","observation_id":"006935e3-ad21-48f4-ac98-6ea46407d9f9","resolution":{"observed_at":"2026-08-06T12:58:35.796223Z","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":"2026-08-06T12:58:36.541858Z","title":"Science Advances11(13), eadq0305 (2025)","venue":null,"work_id":"4fbaafac-ee0e-459f-a015-50e80425360f","year":2025},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.899224Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:bc55fa0c244c7da14942ff6bd4c8cd647433d81ea9371bccd20ccb3648a6afe2","observation_id":"e5046513-b797-4e9e-b145-037270713e86","resolution":{"observed_at":"2026-08-06T12:58:36.651050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:58:35.967227Z","title":"In: International Conference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T12:58:35.967227Z"},"links":{"citing_paper":"/paper/2507.21291"},"observation_digest":"sha256:bdcb51e36c1017a52739407d3860a0ba2938a6e6e7b996724282332dd8039bac","observation_id":"3c83579c-b6c0-4636-97d0-38664b0e5bab","resolution":{"observed_at":"2026-08-06T12:58:35.967227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.21291","last_updated":"2025-07-28T19:25:16Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T23:03:33.003035Z","submitted_at":"2025-07-28T19:25:16Z","title":"Fairness and Robustness of CLIP-Based Models for Chest X-rays"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":3,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":28},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.21291."}