{"as_of":"2026-08-13T06:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ea5f74668ef1b789fb18937c1b83f86b2f77f64debd5a494cd27d23aab27632e","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:14:50.944319Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:03:15.968835Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T18:57:31.596542Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.00235","snapshot_observed_at":"2026-08-05T16:03:15.968835Z","title":"arXiv preprint arXiv:2506.00235 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.19322","last_updated":"2025-08-26T14:33:09Z","snapshot_observed_at":"2026-08-07T11:56:04.043856Z","submitted_at":"2025-08-26T14:33:09Z","title":"AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T16:03:15.968835Z"},"links":{"cited_paper":"/paper/2506.00235","citing_paper":"/paper/2508.19322"},"observation_digest":"sha256:d6cd6327a15e5d11f77c0c41e273a815f2a3dbf0c1f03211da2eeb8eb04350c0","observation_id":"123313fc-3ccf-4c7c-b5c6-30b45ec5e13e","resolution":{"observed_at":"2026-08-05T16:03:15.968835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"cited_work":{"arxiv_id":"2506.00235","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.00235","snapshot_observed_at":"2026-07-10T18:57:31.596542Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","venue":"cs.CL","work_id":"ddaabc2b-c27d-489b-ad58-d6958162a3cb","year":2025},"citing_paper":{"arxiv_id":"2607.07761","last_updated":"2026-07-08T15:19:37Z","snapshot_observed_at":"2026-08-06T23:41:57.869470Z","submitted_at":"2026-07-08T15:19:37Z","title":"Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning","version":1},"reference_index":128,"source":"pdf_text","source_observed_at":"2026-07-10T18:50:22.827472Z"},"links":{"cited_paper":"/paper/2506.00235","citing_paper":"/paper/2607.07761"},"observation_digest":"sha256:86e102c0ff1073bd40ccda5dc4df4edade9dce5f2e11e2dccf7957909d37cc32","observation_id":"0725b69d-961a-4a4b-a548-22e3b8836b20","resolution":{"observed_at":"2026-07-10T18:57:31.597923Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.00235","snapshot_observed_at":"2026-07-14T06:30:16.612345Z","title":"Medorch: Medical diagnosis with tool-augmented reasoning agents for flexible extensibility.arXiv preprint arXiv:2506.00235, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.11175","last_updated":"2026-08-12T13:35:16Z","snapshot_observed_at":"2026-08-13T05:27:32.898115Z","submitted_at":"2026-07-13T07:16:50Z","title":"The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-07-14T06:30:16.612345Z"},"links":{"cited_paper":"/paper/2506.00235","citing_paper":"/paper/2607.11175"},"observation_digest":"sha256:48b2a0fbc2a4fb839a41448228444385cc5e0369c9ee9b393660d0a6d52a7f29","observation_id":"feb788f6-6c4c-4a7e-9a1e-b8beb868a06e","resolution":{"observed_at":"2026-07-14T06:30:16.612345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.00235/citation-record","integrity":"/paper/2506.00235/integrity","json":"/paper/2506.00235/citation-record.json","paper":"/paper/2506.00235"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:14:46.193526Z","title":"Toward expert-level medical question answering with large language models.Nature Medicine, pages 1–8, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.193526Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:e44bd7ba3e91b0a12c6cedd168d38a23a1c945eacf1eb3d48b96870b8b98ab39","observation_id":"7e00787b-2d42-4af2-8264-31c5edc47c85","resolution":{"observed_at":"2026-08-07T12:14:46.193526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03712","last_updated":"2024-12-09T02:14:08Z","snapshot_observed_at":"2026-08-12T23:49:09.947768Z","submitted_at":"2024-06-06T03:15:13Z","title":"A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03712","snapshot_observed_at":"2026-08-07T12:14:46.243075Z","title":"A survey on medical large language models: Technology, application, trustworthiness, and future directions.arXiv preprint arXiv:2406.03712, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.243075Z"},"links":{"cited_paper":"/paper/2406.03712","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:7e26c74b5a44d893d905b6708dd4b5a36de8800f76412091d3ed810e76fdde8e","observation_id":"9a859488-ddaf-4492-97b3-7c6545e495e9","resolution":{"observed_at":"2026-08-07T12:14:46.243075Z","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":"2026-08-07T12:14:54.700134Z","title":"Deep multimodal fusion of image and non- image data in disease diagnosis and prognosis: a review.Progress in Biomedical Engineering, 5(2):022001, 2023","venue":null,"work_id":"1adf68a4-c62b-4ab5-83da-66624578880a","year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.310646Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:3233921d2ee61a73c9ccbc95b765fd86975248702061dd74756686e949638f82","observation_id":"5453e6a5-2646-4854-9623-a7a947fa1ab0","resolution":{"observed_at":"2026-08-07T12:14:54.735261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:54.586349Z","title":"Mdagents: An adaptive collaboration of llms for medical decision-making (2024).URL https://arxiv","venue":null,"work_id":"de8c04e2-e8e2-45fe-9315-e4f8302ff9e2","year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.369426Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:813ad896045f2be3dfb4856b0cbfda4de24e918062048499cd74a3db18419553","observation_id":"3ca17e74-8acd-4aa3-a00f-8442c345c453","resolution":{"observed_at":"2026-08-07T12:14:54.634993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-07T12:14:46.515822Z","title":"Chexnet: Radiologist-level 14 pneumonia detection on chest x-rays with deep learning.arXiv preprint arXiv:1711.05225, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.515822Z"},"links":{"cited_paper":"/paper/1711.05225","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:a5d82955c1a4e61725a9e1d95f09cd6e1a89a34a21cfb349ca74483aef16afe5","observation_id":"41d4925b-abd6-4704-915c-c244070631d0","resolution":{"observed_at":"2026-08-07T12:14:46.515822Z","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":"2026-08-07T12:14:54.445598Z","title":"Idx-dr for diabetic retinopathy screening.American family physician, 101(5):307– 308, 2020","venue":null,"work_id":"2346c65e-ae19-427e-af45-ac418aac2a7a","year":2020},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.667954Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:e55a1a5606d5caa10630e42e99bc5b5bed7fecc796eabc0aabf20a6bca587e9a","observation_id":"93cf0bd8-1a60-4568-9929-c9ec01a74c53","resolution":{"observed_at":"2026-08-07T12:14:54.508803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:54.368330Z","title":"Applying deep learning to metastatic breast cancer detection","venue":null,"work_id":"a95339f7-57d8-44c6-beeb-bb85b7f1b432","year":2018},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.782375Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:aa1eb7cbc0bb4b6f6fe357bf48a8102620e2cfb743b899fa38395a3af4a7baed","observation_id":"7d784bc9-85ec-4f9a-be81-01d34f379024","resolution":{"observed_at":"2026-08-07T12:14:54.400749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.10424","last_updated":"2023-09-19T08:37:22Z","snapshot_observed_at":"2026-08-09T16:51:31.312185Z","submitted_at":"2023-09-19T08:37:22Z","title":"Functional requirements to mitigate the Risk of Harm to Patients from Artificial Intelligence in Healthcare","version":1},"cited_work":{"arxiv_id":"2309.10424","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.10424","snapshot_observed_at":"2026-08-07T12:14:51.430132Z","title":"Functional requirements to mitigate the Risk of Harm to Patients from Artificial Intelligence in Healthcare","venue":"cs.AI","work_id":"eff4f5d8-84bc-400e-83ce-386f64191fa2","year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:46.887286Z"},"links":{"cited_paper":"/paper/2309.10424","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:a16cfdb14a39686d1acdffb471f6aa5676e9c51ba0a64472dc6b881da6a7dd56","observation_id":"9c009b80-10cd-4b35-b9c5-b43cd25a4c8a","resolution":{"observed_at":"2026-08-07T12:14:51.482497Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01543","last_updated":"2023-04-04T05:41:57Z","snapshot_observed_at":"2026-08-10T12:15:40.896102Z","submitted_at":"2023-04-04T05:41:57Z","title":"A Brief Review of Explainable Artificial Intelligence in Healthcare","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01543","snapshot_observed_at":"2026-08-07T12:14:47.049918Z","title":"A brief review of explainable artificial intelligence in healthcare.arXiv preprint arXiv:2304.01543, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.049918Z"},"links":{"cited_paper":"/paper/2304.01543","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:484b051bc8adc7b9d991de791229d54b9b91a76f453dfd6ad6e3f2d0542a8d2f","observation_id":"c2878854-fd22-48e1-8591-2d4176fc1cba","resolution":{"observed_at":"2026-08-07T12:14:47.049918Z","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":"2026-08-07T12:14:54.268360Z","title":"A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches.Scientific Reports, 15(1):6932, 2025","venue":null,"work_id":"9542df8b-62c6-4b54-ae9e-96865905c607","year":2025},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.204702Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:6cfaf7623379e0607082e7b62589eb2774b3d5b641ccb2c58b0bbefb9a1818af","observation_id":"8cfb7750-939c-406b-a28e-3b68ed519d67","resolution":{"observed_at":"2026-08-07T12:14:54.322863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:47.296425Z","title":"Alzheimer’s disease neuroimaging initiative (adni) clinical characterization.Neurology, 74(3):201–209, 2010","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.296425Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:82c8f5776b9cd2310b0d06520e0fd1cb48daa6c423425bdf1a9434beceee3700","observation_id":"497800c4-ceb9-4077-b549-299852599000","resolution":{"observed_at":"2026-08-07T12:14:47.296425Z","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":"2026-08-07T12:14:47.381374Z","title":"Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.Scientific data, 6(1):317, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.381374Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:d216b337bc7addeaaa4135ebe84c2238fe18aa2debf2214ad12503ef8f847773","observation_id":"21ef67f1-a6f2-428a-b0fe-412d5c20e900","resolution":{"observed_at":"2026-08-07T12:14:47.381374Z","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":"2026-08-07T12:14:47.434938Z","title":"Ehrxqa: A multi-modal question answering dataset for electronic health records with chest x-ray images.Advances in Neural Information Processing Systems, 36:3867–3880, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.434938Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:f794ef78e34d381f29aadd3ffd486fb3a7fcab89ae92be3eb969c5b596fe257b","observation_id":"be8dbb32-507e-46fe-a989-75be2449e9b9","resolution":{"observed_at":"2026-08-07T12:14:47.434938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.03540","last_updated":"2022-12-16T22:20:33Z","snapshot_observed_at":"2026-08-09T10:04:20.510076Z","submitted_at":"2022-02-02T14:28:51Z","title":"GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.03540","snapshot_observed_at":"2026-08-07T12:14:47.514034Z","title":"Gatortron: A large clinical language model to unlock patient information from unstructured electronic health records.arXiv preprint arXiv:2203.03540, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.514034Z"},"links":{"cited_paper":"/paper/2203.03540","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:99de5b50217683f4bdb0fa765e445193cf1639330077c76fdccf4246d0b1c759","observation_id":"620b4f2c-cab7-40e9-8fc0-49193a7662c7","resolution":{"observed_at":"2026-08-07T12:14:47.514034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.03323","last_updated":"2019-06-20T20:41:58Z","snapshot_observed_at":"2026-08-11T08:24:54.476567Z","submitted_at":"2019-04-06T00:34:39Z","title":"Publicly Available Clinical BERT Embeddings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.03323","snapshot_observed_at":"2026-08-07T12:14:47.624876Z","title":"Publicly available clinical bert embeddings.arXiv preprint arXiv:1904.03323, 2019","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.624876Z"},"links":{"cited_paper":"/paper/1904.03323","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:0251b1135c02aa6c390eeda11d8e16d94230f777ff2250574efa88f21c460ad8","observation_id":"a589e07b-2396-4753-b120-3e2ee9ea626c","resolution":{"observed_at":"2026-08-07T12:14:47.624876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18421","last_updated":"2024-03-27T10:18:21Z","snapshot_observed_at":"2026-08-13T00:43:59.716350Z","submitted_at":"2024-03-27T10:18:21Z","title":"BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18421","snapshot_observed_at":"2026-08-07T12:14:47.705191Z","title":"Biomedlm: A 2.7 b parameter language model trained on biomedical text.arXiv preprint arXiv:2403.18421, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.705191Z"},"links":{"cited_paper":"/paper/2403.18421","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:09d507d9e7c3e6e93e5e0c8a24153b904d443869fc5ce693f1af4da5276ad93e","observation_id":"5e4aa49c-a6b7-4a2a-9fd0-a3f14cb7df98","resolution":{"observed_at":"2026-08-07T12:14:47.705191Z","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":"2026-08-07T12:14:54.119505Z","title":"Dxplain: an evolving diagnostic decision-support system.Jama, 258(1):67–74, 1987","venue":null,"work_id":"a2e5d4db-402e-4004-a32c-5d9fd47f73a8","year":1987},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.805934Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:bc8255b4270a469a4b6772edb9515a55260327114467a097691d33d3f911748e","observation_id":"a18f3eb9-5ed5-419f-9ad0-b24f89d254a8","resolution":{"observed_at":"2026-08-07T12:14:54.170650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:54.019211Z","title":"Isabel: a web- based differential diagnostic aid for paediatrics: results from an initial performance evaluation","venue":null,"work_id":"f605096e-c55e-406a-963f-19f91bfa24f9","year":2003},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:47.911943Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:d233f42190d39e97f237228bc0376c850e6f01fd0f57855fd879fabe3c2100f1","observation_id":"66d12aa0-f303-429b-8ebd-01ea085e57dd","resolution":{"observed_at":"2026-08-07T12:14:54.054957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:53.890480Z","title":"Early experience with watson for oncology: a clinical decision- support system for prostate cancer treatment recommendations.World journal of urology, 39:407–413, 2021","venue":null,"work_id":"39943494-77bb-4dd8-8408-238871482b05","year":2021},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.007332Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:0281c7f7e2d8aa0c026413c7b5355e6352a4bd434414cbaa84bd83bf03eaa424","observation_id":"ede35676-d493-4d36-9445-c3c2e9c378e6","resolution":{"observed_at":"2026-08-07T12:14:53.967181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:53.761233Z","title":"Medclip: Contrastive learning from unpaired medical images and text","venue":null,"work_id":"d2ee350b-26c4-44e5-8890-18b4fef8d44e","year":2022},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.096604Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:8905aae0d6e375dee06fcf5531f1715f96ed82d1434ee4c1e1b29dbc009c76ca","observation_id":"08a5a28a-c3b7-4f48-ad3e-5ab4bc659d54","resolution":{"observed_at":"2026-08-07T12:14:53.792571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-07T12:14:48.185934Z","title":"Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data.arXiv preprint arXiv:2308.02463, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.185934Z"},"links":{"cited_paper":"/paper/2308.02463","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:cdd2e2323733a321ecfe9a4fb3403b73376748905834881594d91b31da3228a0","observation_id":"3006d174-8d2c-454d-872b-9ae66c5a5807","resolution":{"observed_at":"2026-08-07T12:14:48.185934Z","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":"2026-08-07T12:14:48.306475Z","title":"Towards generalist biomedical ai.Nejm Ai, 1(3):AIoa2300138, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.306475Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:583493529dda7443451276c85abe2c23516d12151cb4af2c46e9c9350d5a6bd2","observation_id":"c98da2b6-7488-4779-ad30-596dc5558635","resolution":{"observed_at":"2026-08-07T12:14:48.306475Z","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":"2026-08-07T12:14:48.450513Z","title":"Pmc-vqa: Visual instruction tuning for medical visual question answering.arXiv preprint arXiv:2305.10415, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.450513Z"},"links":{"cited_paper":"/paper/2305.10415","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:07aa535cbb7b3c022ee743e5cf79d9de8efc2a6fe051633ae5c02537123eb142","observation_id":"0214ea42-e55e-47a5-9ea5-1d4519a7fd20","resolution":{"observed_at":"2026-08-07T12:14:48.450513Z","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":"2026-08-07T12:14:48.543657Z","title":"Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539– 68551, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.543657Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:ea2743cedb82f79a7ef7d09a0f4c5cff9c5fdad7d4be68968f2dadf5136a7def","observation_id":"d50800a2-8c07-4169-93ed-f7bc1b5fab1b","resolution":{"observed_at":"2026-08-07T12:14:48.543657Z","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":"2026-08-07T12:14:48.720022Z","title":"Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.Advances in Neural Information Processing Systems, 36:38154–38180, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.720022Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:ffc6f0df6e62aeea22d8b60b5c3f5f6fe8a514fdf8213aca210c057cdecf8d66","observation_id":"b2a29884-629f-49a8-9238-b22f815f12df","resolution":{"observed_at":"2026-08-07T12:14:48.720022Z","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":"2026-08-07T12:14:48.857188Z","title":"Gorilla: Large language model connected with massive apis.Advances in Neural Information Processing Systems, 37:126544–126565, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:48.857188Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:c13ef3b004ebf62bd1f2117e3a19232143fb7787e55d9707e81d426e1512bc82","observation_id":"33b50a35-fb88-4c9c-8d47-0897f28294fb","resolution":{"observed_at":"2026-08-07T12:14:48.857188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00920","last_updated":"2025-07-25T08:26:54Z","snapshot_observed_at":"2026-08-12T22:53:24.614753Z","submitted_at":"2024-09-02T03:19:56Z","title":"ToolACE: Winning the Points of LLM Function Calling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00920","snapshot_observed_at":"2026-08-07T12:14:49.026235Z","title":"Toolace: Winning the points of llm function calling.arXiv preprint arXiv:2409.00920, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.026235Z"},"links":{"cited_paper":"/paper/2409.00920","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:1c6f1974793ebdacc15ada0a1366117fc450c1b90b0397e59445837dab69bf54","observation_id":"0746dae7-e535-4d57-bb05-e426dbd18f8e","resolution":{"observed_at":"2026-08-07T12:14:49.026235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.03215","last_updated":"2024-09-05T03:22:22Z","snapshot_observed_at":"2026-08-12T22:51:03.916431Z","submitted_at":"2024-09-05T03:22:22Z","title":"xLAM: A Family of Large Action Models to Empower AI Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.03215","snapshot_observed_at":"2026-08-07T12:14:49.144164Z","title":"xlam: A family of large action models to empower ai agent systems.arXiv preprint arXiv:2409.03215, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.144164Z"},"links":{"cited_paper":"/paper/2409.03215","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:051ca798e557e7cc334fef915a410314451959e44b8d4ee57b2bcf7efae683a2","observation_id":"dc518df1-3e87-48f1-9851-b9a6d405386c","resolution":{"observed_at":"2026-08-07T12:14:49.144164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03601","last_updated":"2025-07-19T17:39:17Z","snapshot_observed_at":"2026-08-07T20:27:54.118684Z","submitted_at":"2025-04-04T17:13:57Z","title":"APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.03601","snapshot_observed_at":"2026-08-07T12:14:49.279794Z","title":"Apigen-mt: Agentic pipeline for multi-turn data generation via simulated agent-human interplay.arXiv preprint arXiv:2504.03601, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.279794Z"},"links":{"cited_paper":"/paper/2504.03601","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:8f489e0958fc9403ec9604b03b13dd3c9ae308190709b2833d07481571cac5ac","observation_id":"6c90b24e-f58e-405a-8f49-8d0bf1653dbf","resolution":{"observed_at":"2026-08-07T12:14:49.279794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.05366","last_updated":"2025-01-09T16:48:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-09T16:48:17Z","title":"Search-o1: Agentic Search-Enhanced Large Reasoning Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.05366","snapshot_observed_at":"2026-08-07T12:14:49.420220Z","title":"Search-o1: Agentic search-enhanced large reasoning models.arXiv preprint arXiv:2501.05366, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.420220Z"},"links":{"cited_paper":"/paper/2501.05366","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:6e47111d77d094502dd586a813cef70ef9126a7a6167819e25f0c180fff80e9f","observation_id":"03d5e225-78e5-477c-ae32-9b8b3598339c","resolution":{"observed_at":"2026-08-07T12:14:49.420220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.21776","last_updated":"2025-10-13T12:40:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-30T16:25:25Z","title":"WebThinker: Empowering Large Reasoning Models with Deep Research Capability","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.21776","snapshot_observed_at":"2026-08-07T12:14:49.606397Z","title":"Webthinker: Empowering large reasoning models with deep research capability.arXiv preprint arXiv:2504.21776, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.606397Z"},"links":{"cited_paper":"/paper/2504.21776","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:5b3b44cbf33b962427e3396d625379894925d0d9f7e95b2189af48b407182233","observation_id":"66d2e63c-d5c0-4f07-83aa-08fe56b9b843","resolution":{"observed_at":"2026-08-07T12:14:49.606397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04644","last_updated":"2025-07-14T20:06:23Z","snapshot_observed_at":"2026-08-12T17:37:05.160293Z","submitted_at":"2025-02-07T04:08:46Z","title":"Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.04644","snapshot_observed_at":"2026-08-07T12:14:49.664315Z","title":"Agentic reasoning: Reasoning llms with tools for the deep research.arXiv preprint arXiv:2502.04644, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.664315Z"},"links":{"cited_paper":"/paper/2502.04644","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:8c99966eb42d59efac33ef876d2fd765d139d656348ba48592f757f7628481c9","observation_id":"9b5b2ef8-f08b-4774-af09-7d64ce11a4ca","resolution":{"observed_at":"2026-08-07T12:14:49.664315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08155","last_updated":"2023-10-03T20:47:10Z","snapshot_observed_at":"2026-08-08T22:28:26.004138Z","submitted_at":"2023-08-16T05:57:52Z","title":"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08155","snapshot_observed_at":"2026-08-07T12:14:49.691623Z","title":"Autogen: Enabling next-gen llm applications via multi-agent conversation.arXiv preprint arXiv:2308.08155, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.691623Z"},"links":{"cited_paper":"/paper/2308.08155","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:cb87c764003d396903f7d6e46163f0c7aec64a906a977687b93b93b3c1700985","observation_id":"08292c7f-8dd7-453c-9c19-9e76a08b031b","resolution":{"observed_at":"2026-08-07T12:14:49.691623Z","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":"2026-08-07T12:14:49.731037Z","title":"Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.731037Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:79f4b8cd3acaa6e3f6dee15eef5ee7a66fbd92d8d75d6cea37fbf35257d38611","observation_id":"93286956-5f8b-4bc9-99db-ce2e7f866333","resolution":{"observed_at":"2026-08-07T12:14:49.731037Z","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":"2026-08-07T12:14:53.575493Z","title":"Freesurfer.Neuroimage, 62(2):774–781, 2012","venue":null,"work_id":"ed23c9db-ba78-4ac8-a969-0fe7af1b3c9e","year":2012},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.832009Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:aa7e257b85c815f9a9243672071e3cba0377dd9d10f9dcf21e039d6d0179524f","observation_id":"008dcb14-b495-4fcf-8545-d59f7f535b88","resolution":{"observed_at":"2026-08-07T12:14:53.659575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:53.355404Z","title":"Drugbank 6.0: the drugbank knowledgebase for 2024.Nucleic acids research, 52(D1):D1265–D1275, 2024","venue":null,"work_id":"0fcae249-e3b8-44d1-88d6-c1bbc9d08e20","year":2024},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:49.930731Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:caea4fd5e902e36a18f817a00c2d31166659f10e466c7ccb9de062e6249056e0","observation_id":"b76339b9-45bb-4562-ab74-64329a2922f7","resolution":{"observed_at":"2026-08-07T12:14:53.474080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:53.233072Z","title":"The framingham risk score: an appraisal of its benefits and limitations.American Heart Hospital Journal, 5(2):91–96, 2007","venue":null,"work_id":"74eca545-0f0e-434e-9949-b929c4731575","year":2007},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.067467Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:1ef07a36bc25b82aef2e0ef26e8e86b775b13c45ce3088c2d357e95d26487344","observation_id":"f68071c4-adfb-4f94-9a00-f229cea5b548","resolution":{"observed_at":"2026-08-07T12:14:53.293388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:50.153210Z","title":"Densely connected convolutional networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.153210Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:a66f017fe691c31f8e155db5b8d3cd6abf1c6ce32ddde43e4a258a3b5784daf1","observation_id":"bb7858b4-a85b-4d70-a534-f008f6fd26ea","resolution":{"observed_at":"2026-08-07T12:14:50.153210Z","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":"2026-08-07T12:14:53.074632Z","title":"U-net based analysis of mri for alzheimer’s disease diagnosis.Neural Computing and Applications, 33:13587–13599, 2021","venue":null,"work_id":"9b906583-9a82-46ec-a0e8-83607ae13cf2","year":2021},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.269660Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:2a6c0820f8e63b7cafed946d1360b73ac6e198f69152cbf8529a4ce40e07b8ac","observation_id":"8b8112a9-07c1-4e01-9ffb-a3a7d63642f4","resolution":{"observed_at":"2026-08-07T12:14:53.163468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:52.730988Z","title":"Multistage diagnosis of alzheimer’s disease based on slice attention network","venue":null,"work_id":"1a267414-fc6d-42c0-8497-e948a53e7238","year":2022},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.350445Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:c455b27153dbea02b2b432619d391a3f17109382b55c9063eb6bb93a2802b46b","observation_id":"37853779-3ee7-4217-b837-5e43d54fe6ec","resolution":{"observed_at":"2026-08-07T12:14:52.919241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:52.546378Z","title":"Multi-modal hypergraph diffusion network with dual prior for alzheimer classification","venue":null,"work_id":"aca8d4a8-caf1-40e1-a5f2-e5c78bf4eb36","year":2022},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.434106Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:f821111343779ffb3ead16d0b1dbc23f8f327cbcd513cd4e6658a784f294e3cc","observation_id":"5ad015bd-fb29-440f-803f-9faca98455ad","resolution":{"observed_at":"2026-08-07T12:14:52.630675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:52.315625Z","title":"Multi-modal masked autoencoders for medical vision-and-language pre-training","venue":null,"work_id":"228c520c-7cff-49bb-8d8c-78b5aa3e2f74","year":2022},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.494974Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:f1c7d0b8cce4c24a988f69ccb9604e475b7d9426c31bf9a41dbc1ce96663bb12","observation_id":"b13127bd-2c52-46b9-9155-f51046006596","resolution":{"observed_at":"2026-08-07T12:14:52.425117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:52.052652Z","title":"Large language models improve alzheimer’s disease diagnosis using multi-modality data","venue":null,"work_id":"8ccfe359-7a28-4764-a322-191c744d9ca4","year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.575825Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:626bc057fecd7086580779ac38bcb74cc54e3663302fa3c061cb93eaba9bcab5","observation_id":"8fcfee30-1467-4c32-ac3a-5b6ae40ba6fe","resolution":{"observed_at":"2026-08-07T12:14:52.198966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.12186","last_updated":"2022-10-21T18:27:45Z","snapshot_observed_at":"2026-08-09T16:57:41.432897Z","submitted_at":"2022-10-21T18:27:45Z","title":"Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.12186","snapshot_observed_at":"2026-08-07T12:14:50.660801Z","title":"Improving the factual correctness of radiology report generation with semantic rewards.arXiv preprint arXiv:2210.12186, 2022","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.660801Z"},"links":{"cited_paper":"/paper/2210.12186","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:0b60eda33146a7d4aa7793383d47f8ec4821d4443687a6d16a13256afe89b928","observation_id":"2f29db72-7b8d-4c97-8c6b-50132705dbb0","resolution":{"observed_at":"2026-08-07T12:14:50.660801Z","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":"2026-08-07T12:14:50.723407Z","title":"Generating radiology reports via memory-driven transformer.arXiv preprint arXiv:2010.16056, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.723407Z"},"links":{"cited_paper":"/paper/2010.16056","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:12be9b50141cfe6475017d7e91fceba51cb4551133e93c64f5efdaf954d00587","observation_id":"7c4da0c0-a9bc-41bd-8da9-3aa4afd0d2f5","resolution":{"observed_at":"2026-08-07T12:14:50.723407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12172","last_updated":"2024-04-30T00:52:24Z","snapshot_observed_at":"2026-08-13T01:23:29.955113Z","submitted_at":"2023-02-23T17:13:25Z","title":"Vision-Language Generative Model for View-Specific Chest X-ray Generation","version":5},"cited_work":{"arxiv_id":"2302.12172","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.12172","snapshot_observed_at":"2026-08-07T12:14:51.056973Z","title":"Vision-Language Generative Model for View-Specific Chest X-ray Generation","venue":"eess.IV","work_id":"4365d6ae-f2a9-4003-9419-b050b5b674b7","year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.776429Z"},"links":{"cited_paper":"/paper/2302.12172","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:72e8155ed87b598401c472cfebff50f87bb65a0247a075e4649f980fcacb692c","observation_id":"27dc11e4-977b-44c1-8ecf-6e0efa5c5a43","resolution":{"observed_at":"2026-08-07T12:14:51.136785Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.07971","last_updated":"2025-05-07T14:26:09Z","snapshot_observed_at":"2026-08-12T11:25:05.864324Z","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":"2026-08-07T12:14:50.836795Z","title":"Xraygpt: Chest radiographs summarization using medical vision-language models.arXiv preprint arXiv:2306.07971, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.836795Z"},"links":{"cited_paper":"/paper/2306.07971","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:3eededd24655d9597111e413a1779373328844a9a48197f3c75cf17404167827","observation_id":"1d848d80-e836-4971-9f41-5c82388a2a00","resolution":{"observed_at":"2026-08-07T12:14:50.836795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11490","last_updated":"2024-03-18T03:41:09Z","snapshot_observed_at":"2026-08-10T08:38:56.469017Z","submitted_at":"2023-05-19T07:44:39Z","title":"LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11490","snapshot_observed_at":"2026-08-07T12:14:50.860331Z","title":"Llm-cxr: instruction-finetuned llm for cxr image understanding and generation.arXiv preprint arXiv:2305.11490, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.860331Z"},"links":{"cited_paper":"/paper/2305.11490","citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:cdc5b24491bc635a3e02e4c723f203032e144e6f7380e25e19b30b72a8088bb4","observation_id":"5d89c8f6-c3fa-4347-89d6-2373500c8183","resolution":{"observed_at":"2026-08-07T12:14:50.860331Z","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":"2026-08-07T12:14:51.734619Z","title":null,"venue":null,"work_id":"53b8c357-2506-44ed-b0ca-6f2947694a54","year":null},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.893213Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:2e58ed2842ea6ce308916c7092752b5c2827ddc0d6b653cc7f2428e7e919b66d","observation_id":"b529d121-8cc4-4393-87ce-5cfadaaab1b2","resolution":{"observed_at":"2026-08-07T12:14:51.863168Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-07T12:14:51.592370Z","title":"Is there ${attribute} in the ${object}?","venue":null,"work_id":"3cdc335b-cf02-4760-9426-9a8a0b82a344","year":null},"citing_paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:50.944319Z"},"links":{"citing_paper":"/paper/2506.00235"},"observation_digest":"sha256:6534da7fd72b18aa66ea006f238fb9a9097db3a7e4a5024da68c94f7b523516e","observation_id":"f157da41-1990-4c09-be93-e5b68164cb35","resolution":{"observed_at":"2026-08-07T12:14:51.631748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.00235","last_updated":"2025-05-30T21:13:12Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T17:40:33.836166Z","submitted_at":"2025-05-30T21:13:12Z","title":"MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":2,"verified_fuzzy":18},"total_outbound_references":50},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2506.00235."}