{"as_of":"2026-08-08T05:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5344c0d3d07c50854432fff7429a881a08c6e37804dce78cdbda78fc8da79a65","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":"2026-08-07T06:34:17.273281+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":"2026-08-08T04:57:35.429929Z","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":"sha256:9b36b3f514659d237c6aac9f8ad63239365a65758fb45c343c142206ec230fc6","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":"2026-08-08T04:57:35.429929Z","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:fee9b635620a7ecc8d9ad29caa577352ae3db10ac9c28651e095a01f6eac7d12","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":"2026-08-08T04:57:35.429929Z","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":"sha256:61976ac6434c67603aca9237d308ce1db7d498abd73b0f4b6fe51954f3960568","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":"2026-08-08T04:57:35.429929Z","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":"sha256:3bdcda891578557d48a94b6a16f36fd139b857fc6f1e4096397dc5ccf620b520","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":"2026-08-08T04:57:35.429929Z","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:ba1f9d37e9c160b8e731559bb47261c50ff517af75a2f935f8635124ab1cd9b2","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":"2026-08-08T04:57:35.429929Z","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:b6e211d397a4f5bf430e09401bbc61080b177e75ba90b3fab22f7959f7b2e210","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":"2026-07-06T09:13:37.575194Z","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":"2026-08-08T04:57:35.429929Z","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":"sha256:996b78cc88688cfe5f7c1307cdbe13112461d17f5fba9c477a1e6c57529d87cd","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":"2026-08-08T04:57:35.429929Z","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:a12600fffc360ca18decf23af6832f5602fba0691955a7aa838f665fff8246d6","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":"2026-08-08T04:57:35.429929Z","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:b5593c8656268fd21965524c8342a26c5cb916bcafbc136b347829291b1ade01","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":"2026-08-08T04:57:35.429929Z","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":"sha256:1c72ccc136c0e3d3a17af2de16455a214a652a45adf4b965642c6c1d108521f1","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":"2026-08-08T04:57:35.429929Z","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":"sha256:18be3fd9063460a698ce2cc433623834c45dc18d296317865f80f9b42a2dbd97","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":"2026-08-08T04:57:35.429929Z","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:accbb7e08060ad5b6a83c80466bf26d84a201fc718db9d1913203131a1afe390","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":"2026-08-04T14:30:16.365330Z","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":"2026-08-08T04:57:35.429929Z","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:f7ed0450712e65e7967295191c91f3e6890d76fbd345ecb1e5aac0d64d3bafbf","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":"2026-08-08T04:57:35.429929Z","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:d1318619ca2d0c3b2eb7b84578d8c0cd9f91fb619fc8a064ccd8aae21a3c28fb","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":"2026-08-08T04:57:35.429929Z","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":"sha256:4ca4739d9f8bf68cea0bb2c6d8f3cb4208bbb34ac962d2141ae9df09ca1d6168","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":"2026-08-08T04:57:35.429929Z","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:fb715ff33d53453af289af1c4cb596cf8658e4e1aa9caeebf49a2b8f10e17a4e","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":"2026-08-08T04:57:35.429929Z","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":"sha256:82ae89e5fee6584a089452a48ddec83b990b69dd27642513121c026c68fe2a3e","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":"2026-08-08T04:57:35.429929Z","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:f571366bc282a8e76a564d62d2f0309928e0d563824f96d471f71c89797a9bcf","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":"2026-08-08T04:57:35.429929Z","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":"sha256:7fb7bfa4fd36bd000ba7ebaa6bef2abdfebdf6ec90999b553890dcbc0045f4ca","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":"2026-08-08T04:57:35.429929Z","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":"sha256:1f1ee777d13bfc5af212212ff34bf96455039708191c2cc2a4945772c15fb46a","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":"2026-08-08T04:57:35.429929Z","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:e44d3ee603ba9dd3df2460e9ad461ac9718f27559ace10f113ab9daae668a1ff","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":"2026-08-08T04:57:35.429929Z","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:e85ee96edda9ef6ff718eb80a04da4406e4edf6ca480a9fafab0219148bfcae4","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":"2026-08-08T04:57:35.429929Z","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":"sha256:4d60a8191b7058f5fe50ad911567bf789de6fdf55346f256351265030dc985f4","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":"2026-08-08T04:57:35.429929Z","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:d8599978b0ba47b9508f46dab8e4c819584006edb98ed53472e5d65ed564b1b3","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":"2026-08-08T04:57:35.429929Z","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:e9c58ed0441e8315e55097352dc24b209e27cb6d7d03147ed96579514a3e7540","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":"2026-08-07T20:36:16.924682Z","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":"2026-08-08T04:57:35.429929Z","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:e28b4f8d454b1c262e7fe71a0b5989d7c343eccd08dca65012778249bacd0825","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":"2026-08-07T08:31:58.372526Z","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":"2026-08-08T04:57:35.429929Z","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":"sha256:9ec1bfb7117e1788e8e69e1042916cdb7a865ed2f9e862883a454ea3d63dbde7","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":"2026-07-06T16:07:37.940200Z","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":"2026-08-08T04:57:35.429929Z","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":"sha256:986f918d1f0462aebc5ba8bfe0e1747a16ca68780d1cf19af301f47643ccff35","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":"2026-08-08T04:57:05.131540Z","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":"2026-08-08T04:57:35.429929Z","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":"sha256:4c9ba4209c4060255526c420b95987ea0559167ec20ca34ed315e2626d3fe121","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":"2026-08-08T04:57:35.429929Z","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":"sha256:9afaee76bb8b0c3b35b442e7cd1cd4cc770f1c0a2e44238e4cdb045f25a077e8","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":"2026-08-06T18:57:51.817317Z","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":"2026-08-08T04:57:35.429929Z","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":"sha256:31ba90bf3380a33a7921973d1554add3990e89dfa2553edc8f3c584a79e8981c","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":"2026-08-08T04:57:35.429929Z","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:c6b945863d6502255a761e9f0ec3d11129260178d1bcf95da51064ac16c27aae","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":"2026-08-08T04:57:35.429929Z","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":"sha256:44e2430195b136ed6a8ce1d03f33f582aa3b66d3a88a979accd679dece223def","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":"2026-08-08T04:57:35.429929Z","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":"sha256:85960a54100dc286f481e93131c9417a459c1d596cdf0e4cfdfc7016acc2cff7","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":"2026-08-08T04:57:35.429929Z","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":"sha256:6c0dc8d26e7b63e089ee91866b03eb26bc33031a46d7be85cad03d38230f05ac","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":"2026-08-08T04:57:35.429929Z","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:b381fff1538364583ef3f2a675980ec832d84e4d5c2779b32900ef1b66a45ab1","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":"2026-08-08T04:57:35.429929Z","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":"sha256:7cbb3092b95c1cf99a93017ebead359d1d369de72a162f4e3a0acc388724bd64","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":"2026-08-08T04:57:35.429929Z","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:a650d2e82923917fb5189594317041d8c3e4b4f97d3eb8d05bce5f53e6d2cc90","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":"2026-08-08T04:57:35.429929Z","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":"sha256:669937c34af73cf4ec9a987a8780dc7080fb314ac85a5bac4c7090e7deb5ff3f","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":"2026-08-08T04:57:35.429929Z","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:d8c76519079f495603d0eb40340aa20da91b591752b08dff3f475e894131dfd7","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":"2026-08-08T04:57:35.429929Z","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":"sha256:9272046cccc2adc52b606441e6138568515b6aa0c2cc5a4eee68e61c5eb4ad49","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":"2026-08-08T04:57:35.429929Z","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:af38a25ef7638574917e6da2e7ba052599754059f84fceb85de9df1e25ef8a99","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":"2026-08-08T04:57:35.429929Z","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":"sha256:91e0ca322fe6376bda00371b8782c4bc9156e7f077dcd3d304ecf62a824506f5","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":"2026-08-08T04:57:35.429929Z","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":"sha256:79d44c8ed01630585b137a4940228281570d8ad0ae4ad60996f623f4150736fb","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":"2026-08-08T04:57:35.429929Z","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":"sha256:1f03d8d139be89dc1f13cdc6d44eddef938068d90e06ea564e4081bb1fc1d05c","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":"2026-08-08T04:57:35.429929Z","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:e5fa7e3201e28989e79bb2e76e4d05b0b401a47d6e77f7f8503d5d9943b6f821","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":"2026-08-08T04:57:35.429929Z","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:e4b17b40d91bcf0cdc4374ee3dc3c23757c58d0a5d04ec8ed88c0029e8e370b7","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":"2026-08-08T04:57:35.429929Z","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":"sha256:54ad5840c0e811c6174694f57763299723baa21ec8326c18abaf5b60add28091","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":"2026-07-06T18:55:11.576666Z","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":"2026-08-08T04:57:35.429929Z","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":"sha256:5b36392a56ca0705400ff9667e4d0f010385efbce8d523c550c1a708f7ae06b6","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":"2026-08-08T04:57:35.429929Z","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":"sha256:309e3280ca051a1a78e3e081dba2917ed69879618a937774fb73596ec0de5a30","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":"2026-07-06T20:09:10.465980Z","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":"2026-08-08T04:57:35.429929Z","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:de4b965406dfc3b04d0b54a9effe530b40e2aceb1e18db34675c82143e9973b7","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":"2026-08-08T04:57:35.429929Z","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":"sha256:36157a86e6543c96b5fbf068a5731bbf94de94c3165fb881fe3834e853db9fc0","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":"2026-08-08T04:57:35.429929Z","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":"sha256:75df492b12271b1231e868c91384f9cd99fe58dd6c7e4bed4831dd21327353ba","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":"2026-08-08T04:57:35.429929Z","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:fb02c1b3d082cb163560ced56bdf7bcea7504ed7021b137a7bcf8fc926db443d","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":"2026-08-08T04:57:35.429929Z","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:eeb09bd3bc5d226f329021e0054973893c44738343dd5f2b3b1bb44de33b9cbc","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":"2026-08-06T14:25:25.439918Z","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":"2026-08-08T04:57:35.429929Z","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:d62dd423ac3903cab8cfd4882bb0f1a283edeeff85d93c61c28e74e16c4a6e27","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":"2026-08-08T04:57:35.429929Z","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":"sha256:0327bba40ecc18cf291792876846a0e80543b874e793e529a24d23fd4e7ae2fb","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":"2026-08-08T04:57:35.429929Z","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:a7f80a4543eea83d6762a38d867cb09db64d0d2114968a618d4dcd9ba4af330b","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":"2026-08-08T04:57:35.429929Z","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":"sha256:53a2ad2c34506fcd0c3a021cc001083c61c9aa3d7aafd584ba771a3cf74cf9e9","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":"2026-08-08T04:57:35.429929Z","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:e407d83ec33774a9f3efe4016abdd26f61652751f649e9b5fba77c361ef7f8b9","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:627e1348adc7dc11ace45457daa178e073d4f4edb9223c1a8b7e88b07a38a210","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":"2026-08-08T04:57:35.429929Z","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":"sha256:45166852fbcbc3b5ddccc1e539124f6626aad4519dab11821d4bf04d93c9ac69","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":"2026-08-08T04:57:35.429929Z","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:f599d029e93cdab4d263f12a877b6ec7383fccf0fd8040361fb875a6839cc37c","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":"2026-08-08T04:57:35.429929Z","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:bd639bf9cc632c7852cf37c79e666dd1e0f3b6384b11f0c91aa6a6cb9b6385c0","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":"2026-08-08T04:57:35.429929Z","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:b72d73accaa689b48b0f28c9e63be93268a44d64804fafaa5b91e8472fe831e7","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":"2026-08-08T04:57:35.429929Z","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":"sha256:86b30d25c2152b7405f01dcdb51db2bcdf51d778a6eacaeda0b444246c65c8cd","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":"2026-08-08T04:57:35.429929Z","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":"sha256:0e3fc09d87a08683a9ecfabe6eefac5450a27920380fcd42feab62eef907c306","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":"2026-08-08T04:57:35.429929Z","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:b245133ce51756ee19d2fbae1a26199d8267a1818060607b7cd40ae7f4acc629","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":"2026-08-08T04:57:35.429929Z","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":"sha256:3ff6c182a74127f1358b776107ec33988fb85482ac074db5512d6cdef82738a5","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":"2026-08-08T04:57:35.429929Z","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:b44677280cc526f6489a9559f742a8c1a84e9032e53b22957860d343059cebc5","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":"2026-08-08T04:57:35.429929Z","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:fcb4aa5c0a79c006bc9a61c3333979a72be78684b2891fbca971afc912321c18","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:00d28773ea1a598c7b7be67206f88e9e36c41aa9603e918f24a3820b440f655f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:7ac2f2069b11f429e63ac9d2672fd5e8b0542b783e9cf4c5ed5ab964f7894803","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:e213cc165825f339c8fda1666bf45a6fe711adc107831aca5a8af5dfd899bf07","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:0e5c42be4441538df5d24c826b0354fe04ab6d566fc9d6f6a5f2bbacc60f71eb","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:25ad5c1ec7fd39fe9c27224c588a29d3a58f62f8cadf980993ceec516b13f352","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:d0ea4e689b002623a424f25759b812d20b7273ea76ac72527d091e4854161e9f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:825359b43dcc62f46923c54d167f36f4861961bdd8e13d2f1f04aafeaf80d52a","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:890bf7c80e001cb9a5194d3f4b48cc9383d967b6ec34724e1489e8e6d1c7a3a3","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:f5e01bcbf743aec44d5e69ca19d96b3d08cbe80e6dd077c091fdf31d6c459491","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:cec876a7ab7730b750a9239534f7dd11c7838df8dd898a2a8ad5b4934c2e887f","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:1563e8e1ba0f616897dc5263baca37f99fc646b2192179c72814bc3eb47cd78d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:b06a30542021f37cbf5d6cd3fea5aa4c34721215f16e0a156d7492d7d80a0586","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:0b3a30e154e9711644b36c32309c58269702edab5a575fb684e13425cc7119b5","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:9cd275c6996fd87db2fd43a29890b3e00b233be28497fa8c02ac25f28c48949d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:25d831a6fb6e498e0b6ebabfdd00591b7516f54c5f260285bb5d059c638c34b6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:7968225bf52dbc10383be11d91222a5cb495ce150cfc020a31cd5f3fac3737c6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:1bb2276e6aa856f33725be2eb8420e9aeb268a71a850a4aa829a2b5a74ca956e","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:d820082062f8b6f749818170355cc27220c1311ae2e380205b0e15c7a2c05c30","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:515a1631b2febf35c9465a310c2cbc4ee637c7e9bb45f3c09b5bf2257e516da1","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:d48a07536ef6ad90d0a1a67de08d8c5becbf70f09d84f1aaa42e7cbe37b662df","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:117220400078e2ed67198616463f0fec687231b86414b9b4f546742b425429c6","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:3df4cf7ea63bc646dfeb8e2d5fdf6be615ed8de1f4875cec5efae4ad50679362","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:91c2a8bc2c2e8f4399f53ad4d28386afa730c6f6d61f9a8a1a32e572b14d21c5","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:7854bf134d744415f2769c6329a102a628a737aa12edd21be58487636c597a7d","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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:b77ba77b15710e9f8024a201c11f5376d56db9822cd189bd69d8512ad771bc17","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:8230613a833d0010d87f817257f2c0c96d64800c5c35958db4829705813bc8eb","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:3289f7e2f01fd8f23f87c77a652bb32d35f89724dc75d9f1780320540ec0f5b7","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:06503d70d5a72c5b124f5225d5edb0753db4b59eecde8c61bcf626fa575b82c0","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"sha256:8305a4d409ba4029126a23f52619918013d340416d3a429f2109764bf5fad98a","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 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-08T04:57:35.429929Z","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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 100 of 131 outbound references and 0 inbound Pith citation observations for arXiv:2505.23143."}