{"as_of":"2026-08-14T01:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3051f9669cf4f2762223cbf616c872f438140a5fd8d55f3627227bb475e2ad30","coverage":[{"denominator":131,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:57:02.911026Z","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":"2026-08-13T06:32:02.005865+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/2505.23143/citation-record","integrity":"/paper/2505.23143/integrity","json":"/paper/2505.23143/citation-record.json","paper":"/paper/2505.23143"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:57:02.062564Z","title":"Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.062564Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:eddb6711067ff3fdf96aa01b9b8a1a99a1bfa3cdc2e74d3d057165a627dccfe2","observation_id":"b4987d92-a17d-425d-a26e-4aab69d8b4f6","resolution":{"observed_at":"2026-08-07T12:57:02.062564Z","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":"2026-08-07T12:57:02.091325Z","title":"Early detection of lung cancer: clinical perspectives of recent advances in biology and radiology","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.091325Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:3d77e20ce2b953f9e81743ffd8b5e0104339ef76b828bae0f3d1087e0fa565f2","observation_id":"7b53185a-1273-4e5d-bcba-27b74b1a313d","resolution":{"observed_at":"2026-08-07T12:57:02.091325Z","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":"2026-08-07T12:57:02.163695Z","title":"Deep learning for chest x-ray analysis: A survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.163695Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:128c9ba071d020224b4c63900cb41b26ab246c3414ed69dfe1c9015214edf66b","observation_id":"fbfb630d-3225-4635-b84c-c9efd07617e6","resolution":{"observed_at":"2026-08-07T12:57:02.163695Z","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":"2026-08-07T12:57:02.237555Z","title":"A review of recent advances in deep learning models for chest disease detection using radiography","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.237555Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:8bbc485f9f8b9c0aaf125074fc2316430d20fdd7f727b54cefb0c85253223047","observation_id":"da8272eb-0371-42b1-8460-de1c3755b874","resolution":{"observed_at":"2026-08-07T12:57:02.237555Z","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":"2026-08-07T12:57:02.304214Z","title":"Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.304214Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:3b65cddc44bb42b7375bef6a34b9ffa3b99db1eb9a709b3e0643ecfa10dabfc1","observation_id":"2bd992c1-c00d-426f-b603-03df88b473d5","resolution":{"observed_at":"2026-08-07T12:57:02.304214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05225","last_updated":"2017-12-25T11:09:06Z","snapshot_observed_at":"2026-08-06T22:13:27.249372Z","submitted_at":"2017-11-14T17:58:50Z","title":"CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05225","snapshot_observed_at":"2026-08-07T12:57:02.360176Z","title":"Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.360176Z"},"links":{"cited_paper":"/paper/1711.05225","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:22198e40da37e39cf66743762e61568ef2daab4ad283100c89ffa7576d95e4f9","observation_id":"327ca20b-6774-4a0c-8507-5934dc95d777","resolution":{"observed_at":"2026-08-07T12:57:02.360176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.09167","last_updated":"2020-10-18T20:30:22Z","snapshot_observed_at":"2026-08-09T16:57:24.839639Z","submitted_at":"2020-04-20T09:46:40Z","title":"CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.09167","snapshot_observed_at":"2026-08-07T12:57:02.429123Z","title":"Chexbert: combining automatic labelers and expert annotations for accurate radiology report labeling using bert","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.429123Z"},"links":{"cited_paper":"/paper/2004.09167","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:a2868dcf3f148ef2f1699330019521e0a28d7f9ed5c5a4a4bcfbf66828b4762d","observation_id":"05487fe6-922c-4afb-8760-bcdebb52d179","resolution":{"observed_at":"2026-08-07T12:57:02.429123Z","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":"2026-08-07T12:57:02.478538Z","title":"Expert- level detection of pathologies from unannotated chest x-ray images via self-supervised learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.478538Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:c1165dd690d902770838034a7651b83333e0363cdd472a1d22aa08e37b3f2c84","observation_id":"02abe3f1-01ac-4523-9250-ecc4e28fe9cb","resolution":{"observed_at":"2026-08-07T12:57:02.478538Z","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":"2026-08-07T12:57:02.522755Z","title":"Medclip: Contrastive learning from unpaired medical images and text","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.522755Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:10416170157f64cca2284191fce956f0f439af710a1f3f4dc4c3f3f0ecb16b69","observation_id":"47a7c891-67ab-4dc3-a4f6-7c4899b5c3a3","resolution":{"observed_at":"2026-08-07T12:57:02.522755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.16056","last_updated":"2022-04-28T01:16:11Z","snapshot_observed_at":"2026-08-07T11:49:12.409435Z","submitted_at":"2020-10-30T04:08:03Z","title":"Generating Radiology Reports via Memory-driven Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.16056","snapshot_observed_at":"2026-08-07T12:57:02.574810Z","title":"Generating radiology reports via memory- driven transformer","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.574810Z"},"links":{"cited_paper":"/paper/2010.16056","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:3249b56cc2703e00ce4bbbef5029fc7dee449d8a6bdeb43e488a3f4cfcf05b1d","observation_id":"e8d6f29a-fe83-4975-9689-64eb48650dce","resolution":{"observed_at":"2026-08-07T12:57:02.574810Z","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":"2026-08-07T12:57:02.582805Z","title":"Act like a radiologist: Radiology report generation across anatomical regions","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.582805Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:24b9c399316304adb5ca292bc4fc90a33c0e082606fdeb15d628d4d7161e9f1c","observation_id":"846f1507-543b-483d-af91-b3aeedfe9a4b","resolution":{"observed_at":"2026-08-07T12:57:02.582805Z","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":"2026-08-07T12:57:02.593805Z","title":"R2gengpt: Radiology report generation with frozen llms","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.593805Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:593e274a84b97e8a15b10534aafa744b82ac3bb6d8ab92721829c5d8a43599f5","observation_id":"adaf9dda-0285-4105-b246-31821b4ac176","resolution":{"observed_at":"2026-08-07T12:57:02.593805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07971","last_updated":"2025-05-07T14:26:09Z","snapshot_observed_at":"2026-08-13T11:17:58.421732Z","submitted_at":"2023-06-13T17:59:59Z","title":"XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.07971","snapshot_observed_at":"2026-08-07T12:57:02.600354Z","title":"Xraygpt: Chest radiographs summa- rization using medical vision-language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.600354Z"},"links":{"cited_paper":"/paper/2306.07971","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:68ae686e8e40bb2f49f88433b8221cac86f977613ffd4ff63fa593a802dc2be1","observation_id":"b6088796-2b28-4817-ba73-8701a11ea43c","resolution":{"observed_at":"2026-08-07T12:57:02.600354Z","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":"2026-08-07T12:57:02.608041Z","title":"Llava-med: Training a large language-and-vision assistant for biomedicine in one day","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.608041Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:cd8f5e06bb4fad62068f6b5e9730817b270c90a69cd370b8272527d48ba14fc8","observation_id":"8393a235-a799-4304-b00a-732d2e36919f","resolution":{"observed_at":"2026-08-07T12:57:02.608041Z","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":"2026-08-07T12:57:02.613945Z","title":"Radvlm: A multitask conversational vision-language model for radiology","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.613945Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:ba026d7f36a0b9f2153455ef2ed758d091b8f8ad34da654959f0312f439b2f5e","observation_id":"b9289c4a-603c-4086-8889-1d31ee9455d5","resolution":{"observed_at":"2026-08-07T12:57:02.613945Z","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":"2026-08-07T12:57:02.621648Z","title":"A systematic approach to chest radiographic analysis","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.621648Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:1609d2838c4cec9ee71674e9094177eafd2c04feaf94fdeaca424e5c5d6ed4b6","observation_id":"6ef19e0e-0f4d-46fb-b922-146f6e4de08e","resolution":{"observed_at":"2026-08-07T12:57:02.621648Z","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":"2026-08-07T12:57:02.630333Z","title":"Screening chest x-ray interpretations and radiographic techniques","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.630333Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:70293046054462af8348341aa41ac45fb51daa9a3abe80bba999cb58fff9b930","observation_id":"1b0844c6-e05d-4284-ad03-70cd24fe323c","resolution":{"observed_at":"2026-08-07T12:57:02.630333Z","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":"2026-08-07T12:57:02.634111Z","title":"Radiographic image analysis-E-book","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.634111Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:e71041c77b31eee81ce04d66f371b01dce528448bd47e7ffc903a1c10d4f7c45","observation_id":"14414986-2608-4452-be1c-3d67a5af9929","resolution":{"observed_at":"2026-08-07T12:57:02.634111Z","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":"2026-08-07T12:57:02.637293Z","title":"Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.637293Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:b3fe9a55e599a9dee44b43b6a6a2b1e3f4fb85ed16b545c70857d6b7433a1749","observation_id":"7602e7db-7671-49c2-9fad-352508578f48","resolution":{"observed_at":"2026-08-07T12:57:02.637293Z","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":"2026-08-07T12:57:02.641236Z","title":"Improving chest X-ray report generation by leveraging warm starting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.641236Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:493c716fd31860e36de048c3f8e27307eec8950186786ca0b861f0b24c1f42b8","observation_id":"4ef212a6-d664-454f-886c-b0b22b913661","resolution":{"observed_at":"2026-08-07T12:57:02.641236Z","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":"2026-08-07T12:57:02.644098Z","title":"Gloria: A multimodal global- local representation learning framework for label-efficient medical image recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.644098Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:8e113676078e5f7a5b19448e55130e67e68aa43ea32000c14a3304e815806f06","observation_id":"93583922-ec85-42f3-8274-21246df92902","resolution":{"observed_at":"2026-08-07T12:57:02.644098Z","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":"2026-08-07T12:57:02.647138Z","title":"Contrastive learning of medical visual representations from paired images and text","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.647138Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:e555cb2b8189de3e0ad4896d58a6fe1d54985b0471f7c7c386978613b5db2023","observation_id":"0d9b4da9-c079-485d-a643-dd4d27f3dc33","resolution":{"observed_at":"2026-08-07T12:57:02.647138Z","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":"2026-08-07T12:57:02.650419Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.650419Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:d5546d6406da4426a3d033e1993f5cc014d8ba1a3edd1aed1ba009c0c0a1f107","observation_id":"3ffc655c-55a2-419b-8fd4-a10dd7860450","resolution":{"observed_at":"2026-08-07T12:57:02.650419Z","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":"2026-08-07T12:57:02.653382Z","title":"Rad-restruct: A novel vqa benchmark and method for structured radiology reporting","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.653382Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:9b1004dede7544e7d801e178c0918783b9949fe8c6871ca48a5869aefc0f0861","observation_id":"6d202647-69bd-4872-b1a2-ec8c5e9e56b1","resolution":{"observed_at":"2026-08-07T12:57:02.653382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T12:57:02.656710Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.656710Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:96a715b15edf2660c25e72185c521e4b4f1c26c58098b0403f3469d085e0dec7","observation_id":"300bf4a7-b9c4-454d-bc78-ce87153cf491","resolution":{"observed_at":"2026-08-07T12:57:02.656710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04106","last_updated":"2024-07-04T18:21:10Z","snapshot_observed_at":"2026-08-12T23:28:37.574765Z","submitted_at":"2024-07-04T18:21:10Z","title":"MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04106","snapshot_observed_at":"2026-08-07T12:57:02.660952Z","title":"Minigpt-med: Large language model as a general interface for radiology diagnosis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.660952Z"},"links":{"cited_paper":"/paper/2407.04106","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:792a3a04555ae2628c7a31a288a0514745a5cbcfbabcc50c03aedc30aa603b9b","observation_id":"5227879b-38fa-4f4b-b807-a7f59fc2ed59","resolution":{"observed_at":"2026-08-07T12:57:02.660952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12208","last_updated":"2024-12-18T20:56:18Z","snapshot_observed_at":"2026-08-13T04:37:30.902017Z","submitted_at":"2024-01-22T18:51:07Z","title":"A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12208","snapshot_observed_at":"2026-08-07T12:57:02.664591Z","title":"Chexagent: Towards a foundation model for chest x-ray interpretation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.664591Z"},"links":{"cited_paper":"/paper/2401.12208","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:4ef945b83d092c75f43403f1906c9a996fd38483cf7927ec51b42018caa43a5d","observation_id":"81daf345-ddd9-4d5d-b2b1-463ec3df5a27","resolution":{"observed_at":"2026-08-07T12:57:02.664591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.09442","last_updated":"2023-08-21T07:49:37Z","snapshot_observed_at":"2026-08-13T22:21:16.803858Z","submitted_at":"2023-08-18T10:14:35Z","title":"BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.09442","snapshot_observed_at":"2026-08-07T12:57:02.667917Z","title":"Biomedgpt: Open multimodal generative pre-trained transformer for biomedicine","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.667917Z"},"links":{"cited_paper":"/paper/2308.09442","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:095eaa985a127c21f39594bf861ddbdb185c5f12e5ddc1f05376029e87bcfd24","observation_id":"192c758b-b792-4759-92c0-868d75c4107b","resolution":{"observed_at":"2026-08-07T12:57:02.667917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02463","last_updated":"2023-11-16T12:38:46Z","snapshot_observed_at":"2026-08-13T10:40:29.470698Z","submitted_at":"2023-08-04T17:00:38Z","title":"Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.02463","snapshot_observed_at":"2026-08-07T12:57:02.671312Z","title":"Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.671312Z"},"links":{"cited_paper":"/paper/2308.02463","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:2339ac3145b26899ecfc834dfb977257a30e1d466660208d28f18261ca102853","observation_id":"471a5613-ae21-4c8f-a273-2e1edcfc8a0a","resolution":{"observed_at":"2026-08-07T12:57:02.671312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10415","last_updated":"2024-09-08T01:04:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T17:50:16Z","title":"PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10415","snapshot_observed_at":"2026-08-07T12:57:02.675717Z","title":"Pmc- vqa: Visual instruction tuning for medical visual question answering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.675717Z"},"links":{"cited_paper":"/paper/2305.10415","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:b279127760acfa95511520ca5e7ef99520cf9740ab78d26e978bf852b6c2584d","observation_id":"917e908c-d970-46fa-8018-1fd04a1e5b87","resolution":{"observed_at":"2026-08-07T12:57:02.675717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19280","last_updated":"2024-09-30T06:45:16Z","snapshot_observed_at":"2026-08-13T12:45:18.778190Z","submitted_at":"2024-06-27T15:50:41Z","title":"HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19280","snapshot_observed_at":"2026-08-07T12:57:02.678990Z","title":"Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.678990Z"},"links":{"cited_paper":"/paper/2406.19280","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:86c19f4b5f7bdce2b9cb805836d383de5ab7eca5278adec98a2f8e697bbcb648","observation_id":"1acf071c-13bb-4a89-b1a7-1a3f015cf456","resolution":{"observed_at":"2026-08-07T12:57:02.678990Z","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":"2026-08-07T12:57:02.682227Z","title":"Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.682227Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:aa15d3ff80a3b42b714bede011f925ae872bfdef13e322991a8a83188997c68c","observation_id":"9c17eb97-9bcb-468c-a6b6-459c9fd09d23","resolution":{"observed_at":"2026-08-07T12:57:02.682227Z","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":"2026-08-07T12:57:02.685278Z","title":"Chexpert plus: Hundreds of thousands of aligned radiology texts, images and patients","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.685278Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:c166ec15db13d4f93f805a7c816b04da262712c5aab0c8552534d6069cd6261a","observation_id":"37548612-c7b2-4647-82f0-021cc088a374","resolution":{"observed_at":"2026-08-07T12:57:02.685278Z","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":"2026-08-07T12:57:02.688656Z","title":"Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.688656Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:4d8d24a6af317ebc4d7f513e8fad9d31a47beb4b94e07d8fa59f78388a4f3060","observation_id":"86559efa-015f-4184-9167-15bebec30869","resolution":{"observed_at":"2026-08-07T12:57:02.688656Z","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":"2026-08-07T12:57:02.691691Z","title":"Vindr-cxr: An open dataset of chest x-rays with radiologist’s annotations","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.691691Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:e663ce5c1b1e9c08e1c05dba0d7e5b25b49d5bbd5ad77e60bb431e6666c5794b","observation_id":"47f4c39c-1e3f-49c2-be85-bfcd1f7211b1","resolution":{"observed_at":"2026-08-07T12:57:02.691691Z","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":"2026-08-07T12:57:02.694760Z","title":"Vqa-med: Overview of the medical visual question answering task at imageclef 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.694760Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:12de023e6242834f9baaba725f5cfa76c7409fa0c1c2daad356333b17c2434d6","observation_id":"2d91428d-07e8-4693-b9af-a5719788018e","resolution":{"observed_at":"2026-08-07T12:57:02.694760Z","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":"2026-08-07T12:57:02.697958Z","title":"A dataset of clinically generated visual questions and answers about radiology images","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.697958Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:317c96225fc6c819073b386e2748a582957ec01d127e8efc5494803fc98001d5","observation_id":"a8116498-a047-4bb1-930b-7a3ab2554bd5","resolution":{"observed_at":"2026-08-07T12:57:02.697958Z","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":"2026-08-07T12:57:02.701323Z","title":"Mimic-ext-mimic-cxr-vqa: A complex, diverse, and large-scale visual question answering dataset for chest x-ray images, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.701323Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:ef354da5f28609c597f46c9aeef75a1f45bf59ea09eddf20ded1890a38e4c34b","observation_id":"ce26f333-d813-43cf-b9a6-9f8d22c58cca","resolution":{"observed_at":"2026-08-07T12:57:02.701323Z","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":"2026-08-07T12:57:02.705318Z","title":"Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.705318Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:02cd891fab4a64f5be3cf716a7f972f251ed36fb3bb5c20c46c386086afc2b34","observation_id":"fc75c06b-78d3-40b6-bd16-a874740b1b95","resolution":{"observed_at":"2026-08-07T12:57:02.705318Z","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":"2026-08-07T12:57:02.708737Z","title":"Expert knowledge-aware image difference graph representation learning for difference-aware medical visual question answering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.708737Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:96f5ee8f6696245271a73c4a590d521e3eb052a2fa6550fc74598f21485afc77","observation_id":"ccd60080-381c-438c-b1be-cd12d572c2e6","resolution":{"observed_at":"2026-08-07T12:57:02.708737Z","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":"2026-08-07T12:57:02.712611Z","title":"Chest imagenome dataset","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.712611Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:d010f9f432decec7e86e6315eda3d043ab8202668e4e3c2ebe499b2d0f27fb8b","observation_id":"0b3b82bd-edad-46f8-8da8-c4075a0c820b","resolution":{"observed_at":"2026-08-07T12:57:02.712611Z","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":"2026-08-07T12:57:02.716455Z","title":"Padchest: A large chest x-ray image dataset with multi-label annotated reports","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.716455Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:771187c5bbb9008eedf926c9552179973ec7fc2adc4b2f1dc0d9cc5498aeda83","observation_id":"23e7480c-fe53-4594-940e-7216485dccb4","resolution":{"observed_at":"2026-08-07T12:57:02.716455Z","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":"2026-08-07T12:57:02.720270Z","title":"The national lung screening trial: overview and study design","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.720270Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:44d79e9f0b660ee8f1cbd7ad7af3f5dd605126fd36b409139e191c8df63408a2","observation_id":"78532bbd-1b1e-4a19-98dc-5dd98a0d4bc2","resolution":{"observed_at":"2026-08-07T12:57:02.720270Z","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":"2026-08-07T12:57:02.724159Z","title":"Ms-cxr-t: Learning to exploit temporal structure for biomedical vision-language processing, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.724159Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:0db8db5f7a813385bce1b2dfe92ff7fdd682b4f7c9ad13bc46e841f406c82435","observation_id":"d08be74a-a40d-4de0-b8da-a8735d26a387","resolution":{"observed_at":"2026-08-07T12:57:02.724159Z","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":"2026-08-07T12:57:02.728016Z","title":"Ms-cxr: Making the most of text semantics to improve biomedical vision-language processing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.728016Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:4313d70753ae827d9af60bcd4170d7c1e49ea68678454ada5bf9da3a48c3af37","observation_id":"6f7599fa-79bf-4c42-9e7a-2c23b34fe7cd","resolution":{"observed_at":"2026-08-07T12:57:02.728016Z","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":"2026-08-07T12:57:02.731961Z","title":"Medical-cxr-vqa dataset: A large-scale llm-enhanced medical dataset for visual question answering on chest x-ray images","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.731961Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:1cc8f03e7e2df0bced6e99ceb4a7858ca01ac54a3a1b26a2068fba3b344fed18","observation_id":"4c956a4b-6db1-4dd8-8581-7f026f47af94","resolution":{"observed_at":"2026-08-07T12:57:02.731961Z","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":"2026-08-07T12:57:02.735625Z","title":"Preparing a collection of radiology examinations for distribution and retrieval","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.735625Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:2c7403099e03dbcea363ae2c97eb3dd2d102fe45c1c716fe92122e28d4fbca5b","observation_id":"c8474e24-a9ef-4019-964b-29b69b7fe210","resolution":{"observed_at":"2026-08-07T12:57:02.735625Z","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":"2026-08-07T12:57:02.739190Z","title":"Rsna pneumonia detection challenge","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.739190Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:357501fb0d64f38f24c335b6c88f8fc64cd547889646c027b33af5d2d3f02894","observation_id":"aaaabd75-fd51-4538-91b0-e17c2aaf2f26","resolution":{"observed_at":"2026-08-07T12:57:02.739190Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-07T12:57:02.743343Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.743343Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:0d53e13d0615e343ee728ab2e7c3ccd56df65601ada3944861c750094ba34b57","observation_id":"c31504bf-6da6-4160-815a-a1436c839a85","resolution":{"observed_at":"2026-08-07T12:57:02.743343Z","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":"2026-08-07T12:57:02.747128Z","title":"The unified medical language system (umls): integrating biomedical terminology","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.747128Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:f81867723f32751b5150ef80cee00ebd892fc358f2338ca15d7873dd32dbb006","observation_id":"95632aeb-d078-48e2-a132-04b1f907f5d4","resolution":{"observed_at":"2026-08-07T12:57:02.747128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13736","last_updated":"2024-12-18T11:14:02Z","snapshot_observed_at":"2026-08-14T01:14:02.224454Z","submitted_at":"2024-12-18T11:14:02Z","title":"MedCoT: Medical Chain of Thought via Hierarchical Expert","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13736","snapshot_observed_at":"2026-08-07T12:57:02.750195Z","title":"Medcot: Medical chain of thought via hierarchical expert","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.750195Z"},"links":{"cited_paper":"/paper/2412.13736","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:edf5994c5d8b2631c6c14d97b90d1101f6b8fa7135bd35952381bccdb6d6655b","observation_id":"8baac434-f89a-488d-a89e-234dfd4f7671","resolution":{"observed_at":"2026-08-07T12:57:02.750195Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-07T12:57:02.753513Z","title":"Bertscore: Evaluating text generation with bert","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.753513Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:88b8331afbfaa556552eb384fbb5aff1f8726fc2d10d655d61508b1f7032b603","observation_id":"b43e6049-a39e-4ce1-9aa8-054b42eb6aad","resolution":{"observed_at":"2026-08-07T12:57:02.753513Z","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":"2026-08-07T12:57:02.756661Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.756661Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:cbe29b19c7f30f0e73279ba9597e40dde1f43011b7c557695aaca96d03cfcd52","observation_id":"13295ee0-3ba6-4d38-ac96-a18d6a6d2843","resolution":{"observed_at":"2026-08-07T12:57:02.756661Z","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":"2026-08-07T12:57:02.760401Z","title":"Roformer: Enhanced transformer with rotary position embedding","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.760401Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:fce461e89275ba0032a8a2528f8cc470684bb1d10128c8ad06a95c365c0f4f27","observation_id":"d2c7f226-bfac-4091-b8b0-a337bcb88a1c","resolution":{"observed_at":"2026-08-07T12:57:02.760401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12191","last_updated":"2024-10-03T15:54:49Z","snapshot_observed_at":"2026-08-06T05:35:29.109022Z","submitted_at":"2024-09-18T17:59:32Z","title":"Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12191","snapshot_observed_at":"2026-08-07T12:57:02.763387Z","title":"Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.763387Z"},"links":{"cited_paper":"/paper/2409.12191","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:4332fa8d0c69eaf49ecbdd6cf63c8f485f5032276ee0593d767cf9b4e9083974","observation_id":"3144f6d7-25cd-4e32-9954-d1b26aa8a445","resolution":{"observed_at":"2026-08-07T12:57:02.763387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.14463","last_updated":"2021-08-29T23:19:33Z","snapshot_observed_at":"2026-08-13T18:55:51.098017Z","submitted_at":"2021-06-28T08:24:23Z","title":"RadGraph: Extracting Clinical Entities and Relations from Radiology Reports","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.14463","snapshot_observed_at":"2026-08-07T12:57:02.767110Z","title":"Radgraph: Extracting clinical entities and relations from radiology reports","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.767110Z"},"links":{"cited_paper":"/paper/2106.14463","citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:2d5860d05f2e164091ad8fafadd8682f1067308a76d6ecf0934d6797b1118f38","observation_id":"c9571391-9d7c-4c4a-a477-17f18638967e","resolution":{"observed_at":"2026-08-07T12:57:02.767110Z","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":"2026-08-07T12:57:02.770264Z","title":"textblob documentation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.770264Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:69559bbdd2e3a82017b49bb713230d31ca5f1d86d423f1e72ebb279c406b9214","observation_id":"c88b4e30-efbd-4a52-b7f1-28d9fb647d73","resolution":{"observed_at":"2026-08-07T12:57:02.770264Z","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":"2026-08-07T12:57:02.773513Z","title":"Rouge: A package for automatic evaluation of summaries","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.773513Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:ee1a217966184cc8153b4342e57c840cdeaa19ec49f9658a217138b02e3fc986","observation_id":"bf0c102b-da44-42ba-8dd5-bd2c1ae1c21b","resolution":{"observed_at":"2026-08-07T12:57:02.773513Z","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":"2026-08-07T12:57:02.777248Z","title":"Ng, Curtis P","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.777248Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:d42d6aecf4dce4ab27860ff97dc3d7db85b2925d32e2db3b674b814e07aaaa16","observation_id":"7dc2d011-5b77-41d3-994e-6d96e676feca","resolution":{"observed_at":"2026-08-07T12:57:02.777248Z","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":"2142.4022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:57:03.096868Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","venue":null,"work_id":"42ede27c-4801-49f4-9768-e32c7ba09e82","year":2020},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.780209Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:97a6df76b8ab87df1fbf409756600c2007c3a376f2949bbbcbb492591f80f11f","observation_id":"5e69c06d-79b4-487e-b7d3-03f8e21cdb7a","resolution":{"observed_at":"2026-08-07T12:57:03.103858Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:02.783939Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.783939Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:70f594a1b9d19a0d18a3f0f68c1e97fd357eecf4892d98d23cb0b732d3e91694","observation_id":"32bd296a-d3e8-4372-ab36-f5fb733e12e3","resolution":{"observed_at":"2026-08-07T12:57:02.783939Z","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":"2026-08-07T12:57:02.787044Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.787044Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:ed1dc6b85ef9e87fc2eb3eba6dbd55042dac951719bb98bbe24314d5faa22cb5","observation_id":"a4c7c5db-28e4-4cc9-a41e-05d85f641b34","resolution":{"observed_at":"2026-08-07T12:57:02.787044Z","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":"2026-08-07T12:57:02.790448Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.790448Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:b4861c77a5574973f0ad8b99f53200aceed00f2709706a2d5c777f7f19c12082","observation_id":"0d729784-1387-4db7-8332-fab8fb726115","resolution":{"observed_at":"2026-08-07T12:57:02.790448Z","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":"2026-08-07T12:57:02.793639Z","title":"as- sociated with","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.793639Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:6f3482a9a153e46a9edf577e23e8da41d9b93667ba91c8d77d8e04a899ab9a08","observation_id":"fb7006a3-1b41-4f48-b584-15d88289c976","resolution":{"observed_at":"2026-08-07T12:57:02.793639Z","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":"2026-08-07T12:57:02.796963Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.796963Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:5e441f2ce4855be469e35df2ccaad2bc8a0a9026088e7af916fc46b99ccac76a","observation_id":"f024cd24-ad89-4f53-9f58-3033eed2df57","resolution":{"observed_at":"2026-08-07T12:57:02.796963Z","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":"2026-08-07T12:57:02.801010Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.801010Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:5056373575c04ae0bebdcb9df56b2c6c4b2dafd875af06d12cba7e0c72889fb8","observation_id":"5aa939e5-52ee-4244-b4ec-97061527337d","resolution":{"observed_at":"2026-08-07T12:57:02.801010Z","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":"2026-08-07T12:57:02.804304Z","title":"{0}”, do you think that “{1}","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.804304Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:6b2f17735c183929d455e24fe94244923012c07808524da9441ea5fe235b2031","observation_id":"2cf57462-3d4c-418b-8663-81159a897119","resolution":{"observed_at":"2026-08-07T12:57:02.804304Z","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":"2026-08-07T12:57:02.807419Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.807419Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:b882857cc7a38606eb6f6387b158713dcd9ce6fe21941b57130f69e90f868c60","observation_id":"18c19f6b-4ed8-4d9c-9dfa-f164c6275802","resolution":{"observed_at":"2026-08-07T12:57:02.807419Z","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":"2026-08-07T12:57:02.811273Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.811273Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:a77653442cabe4b6c448046ec8b23355816534923201660d0279acebec846ec5","observation_id":"6bc98679-8c3f-4c96-ba2f-df3ea0e72ff4","resolution":{"observed_at":"2026-08-07T12:57:02.811273Z","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":"2026-08-07T12:57:02.814361Z","title":"Location: None Prompt for severity attributes extraction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.814361Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:392f6c8a5697f21e805cd7baddf73a45b9ff82d51fb2663423edf2cdcfabf857","observation_id":"c969582d-4c54-43c5-b434-d384f4835598","resolution":{"observed_at":"2026-08-07T12:57:02.814361Z","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":"2026-08-07T12:57:03.823203Z","title":null,"venue":null,"work_id":"84bab743-4e76-4d9f-a2ee-4cfc68cfa43a","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.817408Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:3e7fecba8c8344f8080c5f9ae3c86dae91187f3fb3e297ef6b5e4329f38ae935","observation_id":"d6611ec7-d961-4e7e-8cba-c7756aba45c3","resolution":{"observed_at":"2026-08-07T12:57:03.826259Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.814362Z","title":null,"venue":null,"work_id":"654475a0-4d85-44b8-aef0-a753b0193a24","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.820974Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:8874ea2997d4f67d8e2548485e07e5011353e6949c434b157e45ebcd004235d5","observation_id":"a1325ee6-ced2-43b4-a95b-c8a66c6ffaf0","resolution":{"observed_at":"2026-08-07T12:57:03.817245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.804797Z","title":null,"venue":null,"work_id":"0000c493-f85b-4fe3-b382-5c5a31aff804","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.824669Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:e35b0b0a3b5d1cbd48536d977a0eda83af77be3483d98bd323c3ee4423ccf884","observation_id":"b2614482-d567-4698-aa63-1cf120531a6f","resolution":{"observed_at":"2026-08-07T12:57:03.808241Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.795757Z","title":"and”, “or","venue":null,"work_id":"e5be0fd6-865f-4131-87f4-4c513bda6306","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.827561Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:86b5d6602651e8ac9f169835b1197e3b1e618eedc089b5b89a6e1d17a298583f","observation_id":"c233f285-e6c7-4458-bdd5-89ef3ca1b6d9","resolution":{"observed_at":"2026-08-07T12:57:03.798757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.786682Z","title":null,"venue":null,"work_id":"b0f40b84-d3c8-451d-85a1-81b5e94ce96e","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.831094Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:aa6dad1a73670d3d1e3f986dc5d9c7c46d18f8ee381d475b6a95435cdcf1e3ce","observation_id":"3c17db90-092b-4a2d-ae99-1b10dcff3b28","resolution":{"observed_at":"2026-08-07T12:57:03.790422Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.778165Z","title":null,"venue":null,"work_id":"7bca0339-ade5-49cc-9f2c-e7183187e84d","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.834415Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:47769055e888ce60a0bf8e24bd32a3b5180daa45c3b0770d387eea7029031a80","observation_id":"e734748a-4b03-4fd9-84c4-29a8dfe941bd","resolution":{"observed_at":"2026-08-07T12:57:03.781109Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.768893Z","title":null,"venue":null,"work_id":"12813e64-5ad6-445b-b6ee-d79b475262df","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.837448Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:124946cdcb4405a36e71aae18c178f6a880ff9ea504a6b9f6ec63ba748d15c96","observation_id":"0f1dffa0-296c-4c7a-9422-f3649343522c","resolution":{"observed_at":"2026-08-07T12:57:03.772576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.759488Z","title":"and”, “or","venue":null,"work_id":"6ea95f88-360e-411d-8c67-fc1289fb48df","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.841185Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:6e157e095f3613c31249a48ec29dd45ea2ea68433df2836281fedafc834a1d6f","observation_id":"b3fc435b-392b-4587-a8d4-631c64adb354","resolution":{"observed_at":"2026-08-07T12:57:03.762826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.750875Z","title":null,"venue":null,"work_id":"3e17d997-cd30-4358-83b6-f7c53c6e48dd","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.844764Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:8b5bec390630faf115b12f8e3573408ff1b1159b572c42e67040bf0333106471","observation_id":"65037099-6cb5-4729-a2a6-72a290de452b","resolution":{"observed_at":"2026-08-07T12:57:03.754088Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.742084Z","title":null,"venue":null,"work_id":"b2985a74-a20b-407f-a42d-160ba64f08b2","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.847805Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:6a23ef3ea260b461c240c467c11a501924e5f31fbd8981365e7f8a1b554d9296","observation_id":"888cc7e9-3359-426a-b1bc-bbc809c603b3","resolution":{"observed_at":"2026-08-07T12:57:03.745191Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.732535Z","title":null,"venue":null,"work_id":"f50286c9-241c-4b7b-b6d6-466079ab2b34","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.850651Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:91507f56953c63e38f1492b99d2e9c0e648fd7daa9819ccf42523b6713872b74","observation_id":"e68ed661-383c-4fd1-897d-47076eec47ec","resolution":{"observed_at":"2026-08-07T12:57:03.735698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.723300Z","title":"and”, “or","venue":null,"work_id":"6c84b430-0f21-4257-a1d9-c0697f004ae8","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.854068Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:d61ee483f6f92c84c8003462ac10de0969a4233b20b02e182cd03fdd5072f21c","observation_id":"98b5279c-4958-47c2-a2a6-5619296dd73d","resolution":{"observed_at":"2026-08-07T12:57:03.727082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.714829Z","title":null,"venue":null,"work_id":"0ede9dc6-d736-463b-8abe-88d656b69339","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.857256Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:63e1c190fce456f520be36428e46fe2af8cc4dc9fac609932e4fe182839cf6a4","observation_id":"5858a281-ee73-4fae-930e-f53f4bc42a14","resolution":{"observed_at":"2026-08-07T12:57:03.717804Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.706024Z","title":null,"venue":null,"work_id":"8eb3e12f-dc11-467a-a940-28276027e23c","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.860521Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:76f7ad0698d5076a51aac434c1a0388343b196f1aa640eeaad9d48d8fce62baf","observation_id":"f793565b-dbf8-47ac-91e3-833f554072f1","resolution":{"observed_at":"2026-08-07T12:57:03.709216Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.696698Z","title":"We found a severe pleural effusion in the left hemithorax","venue":null,"work_id":"08c390a0-4638-471a-95f6-918a434e6fce","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.863450Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:9e18e342d460b2bd699df84c5f36a27e3b778b0af005231a1d2080d5a3606272","observation_id":"34dd405b-8939-4826-80f5-320130b78ad4","resolution":{"observed_at":"2026-08-07T12:57:03.700059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.687131Z","title":null,"venue":null,"work_id":"9f9702f2-d72f-4b86-a35f-d89c220a2983","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.866340Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:3794608f920a2e5c1b5e38a0c065606b6acb4b57d4e1d41471c9d66d44bd4ffd","observation_id":"f8efda64-0458-4503-af28-9b81d93a0d58","resolution":{"observed_at":"2026-08-07T12:57:03.690514Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.678589Z","title":null,"venue":null,"work_id":"bb50812c-55d1-4c5b-a09a-78cee32ad013","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.869141Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:c4e9f49dd08d04fbb141476de6d5c504aedabcf4cdacfd28f6a260f42e1dff44","observation_id":"d230396d-ab40-45c7-a7a9-740163d8d95c","resolution":{"observed_at":"2026-08-07T12:57:03.681503Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.670017Z","title":null,"venue":null,"work_id":"12f55ff6-7e6c-400f-99d1-844f4827bf85","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.873021Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:9cc0489e833e0fc6fccc0ce22398d438b11f605371661f711a795b7886f0f61c","observation_id":"d0ad5085-4825-4928-824a-2f23f8792107","resolution":{"observed_at":"2026-08-07T12:57:03.672900Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.661515Z","title":null,"venue":null,"work_id":"91d6684f-0e98-414a-965f-4b66835843ac","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.875812Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:bded48ac0ba0cf47f1f59588be641fe9f4b59b3880b4bf1d7e9f8471c9162da8","observation_id":"1b37605b-af01-47da-9bb8-9aebb79b2101","resolution":{"observed_at":"2026-08-07T12:57:03.664516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.652775Z","title":"{0}”. The extracted traits information is: “{1}","venue":null,"work_id":"90be6d1f-bc66-4f79-9f57-640d0b30bdb6","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.878911Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:d218abc1071596e22ec5ab945ca97a0c1b6e32898205d8966723102ec5159afa","observation_id":"bce29a52-c44e-437c-a4fa-4fd4952bfe1c","resolution":{"observed_at":"2026-08-07T12:57:03.655974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.644414Z","title":null,"venue":null,"work_id":"b36a6bea-a0ed-4b6f-a2bd-cf2909275078","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.881796Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:b2bb4fee00266f63be6ead6a513e305c65b44e7cbf2a92d0f5fa5171a09bfe0b","observation_id":"7fe80fe3-41fd-49ef-9829-26646554ba48","resolution":{"observed_at":"2026-08-07T12:57:03.647374Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.635930Z","title":null,"venue":null,"work_id":"eabbbd85-c06e-40a5-8e33-aa1992fecc5a","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.884885Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:dda0fd4700fe14f3202c595a05e9545a28c87b93c65e3ec8f7b77e6a8ebd18ed","observation_id":"eae3ac4b-e84a-4203-ae3a-5d72453e3e8e","resolution":{"observed_at":"2026-08-07T12:57:03.638997Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.627490Z","title":null,"venue":null,"work_id":"df24e167-cc04-42f1-ad4f-bf6bfca4c4d2","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.888708Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:ab771bd77f34a5e5c35617fbb56b6ff2605c98787e71157b7e6c59c50bd591ff","observation_id":"153972dd-a06c-4bb4-828f-ae0cab9fb2ed","resolution":{"observed_at":"2026-08-07T12:57:03.630459Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.617544Z","title":null,"venue":null,"work_id":"383dac7a-0aaa-4c55-abdd-34387bf8b7fe","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.892124Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:8bb0fb3f0ec09b2b802dc1633c89a4cd1696089f3f67eb2affb9d5e487264140","observation_id":"705a1e4f-fca6-491f-9787-ab471e07350c","resolution":{"observed_at":"2026-08-07T12:57:03.621827Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.608434Z","title":"{0}”. The extracted severity information is: “{1}","venue":null,"work_id":"0df9a0e6-0179-4625-a607-ec690356cce2","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.895551Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:83b55f38a8d0984bded9c5a0f464b421eb8662ef30cd24b1fd74011cbd469cdb","observation_id":"7135e5fa-0731-4d46-884b-89585bd55fa6","resolution":{"observed_at":"2026-08-07T12:57:03.611399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.598984Z","title":null,"venue":null,"work_id":"0f782406-4785-49d4-97af-ff042cc02688","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.898508Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:1d5446f6b5706108895558e64db4e0614a57866b69d7b94c79db43e44ff798f3","observation_id":"8436f80d-190d-4fb4-a563-5d826379fb8a","resolution":{"observed_at":"2026-08-07T12:57:03.602830Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.589624Z","title":null,"venue":null,"work_id":"743f8968-e2cc-4518-a6a6-b8d3f5b7110a","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.901749Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:9016f4b252a54fec9e734c65aa7dc450f9cc77e7232eaff00e5d390d1cec10df","observation_id":"a627be1f-3815-40df-a753-b28bd00b0dbc","resolution":{"observed_at":"2026-08-07T12:57:03.592724Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.580310Z","title":null,"venue":null,"work_id":"45816972-aaef-4139-ae22-a83aa3d0a720","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.904766Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:8e2d7ea51b4802a0d58d102691c709b293917ecd8c2d91a64a694af45018bbf0","observation_id":"cfc78a02-e6da-45a6-a0be-7fac1aefdaac","resolution":{"observed_at":"2026-08-07T12:57:03.583277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.570639Z","title":"{0}”. The extracted trend information is: “{1}","venue":null,"work_id":"7ff6f7ea-8d3f-432b-9d4e-99ff81f90f09","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.907877Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:13570a47a3b14465a1076172dc95056774499417bc93d34796046a3447bcd60f","observation_id":"c66df4f6-e218-4ae1-87b7-6e1a607fffc7","resolution":{"observed_at":"2026-08-07T12:57:03.574563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-07T12:57:03.560522Z","title":null,"venue":null,"work_id":"6a133769-1273-41f7-8ba4-c804e4ec92f7","year":null},"citing_paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.911026Z"},"links":{"citing_paper":"/paper/2505.23143"},"observation_digest":"sha256:a0a44b07d533d9608381f018234d92f9ef32458fb6dfa85bc26c8d84de8dd8d8","observation_id":"68b14a5c-1a28-44cb-8d55-e6b4f8df6872","resolution":{"observed_at":"2026-08-07T12:57:03.564221Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.23143","last_updated":"2025-05-29T06:30:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T03:26:42.961336Z","submitted_at":"2025-05-29T06:30:40Z","title":"Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":92,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":131},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 100 of 131 outbound references and 0 inbound Pith citation observations for arXiv:2505.23143."}