{"as_of":"2026-08-21T01:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8aa628d90ef3c589d5dc368f201de5cb15cc5993c494eccf57f32e9c84a37922","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":"2026-08-06T17:26:10.580853Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.11015/citation-record","integrity":"/paper/2507.11015/integrity","json":"/paper/2507.11015/citation-record.json","paper":"/paper/2507.11015"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T17:26:10.898752Z","title":"Review on covid-19 diagnosis models based on machine learning and deep learning approaches,","venue":null,"work_id":"fcb9fb1e-1eaa-42ed-8db2-d37c86928608","year":2022},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.216484Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:16f009f335bc3de9f70817e100bea81494f0946cee1e1762e2c403041e74401c","observation_id":"f2d06184-89ad-4466-8408-6ed48129f0e6","resolution":{"observed_at":"2026-08-06T17:26:10.901007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.892631Z","title":"Exploring the effect of image enhancement techniques on covid-19 detection using chest x-ray images,","venue":null,"work_id":"e24e35cd-c079-4523-aa61-3652cbbe7afe","year":2021},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.278543Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:871c4c7703fbac16151268bf3a3db865e4595ebc9d45a0a7f17e9cb692d11118","observation_id":"8df00895-efa4-4f6c-b746-da929e49206b","resolution":{"observed_at":"2026-08-06T17:26:10.894972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.886543Z","title":"Show and tell: A neural image caption generator,","venue":null,"work_id":"0216c92b-68a4-4333-abbf-9ec0648afce9","year":2015},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.331918Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:d766d23b5b1b75af752f8dc093a483e2d2a1b2964a336e5f195fbe7b34985287","observation_id":"dce44d2c-6674-478c-8a95-6d7698defe9a","resolution":{"observed_at":"2026-08-06T17:26:10.889054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.880507Z","title":"Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,","venue":null,"work_id":"51c6a981-8d4d-442e-bb2a-394f8aa2f039","year":2015},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.395272Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:4ccd1105d7825403bfdb14ab75ba65b7dc32b25ed3be3918ae4555b12d6ca97b","observation_id":"e4e8c319-d7f5-44b4-85a2-9c33b6ed8695","resolution":{"observed_at":"2026-08-06T17:26:10.882766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.874477Z","title":"Cross-modal contrastive attention model for medical report generation,","venue":null,"work_id":"cbd6271b-5b64-4395-98db-624e7427893a","year":2022},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.475487Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:f879dd5f7d66ae970094e3778113252bc55f9a36eb3d9844a4cbc85b2f4b5670","observation_id":"f7b917a4-b7fa-4f12-8a9e-9a8a851a0ba9","resolution":{"observed_at":"2026-08-06T17:26:10.876913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.867862Z","title":"Translating medical im- age to radiological report: Adaptive multilevel multi-attention approach,","venue":null,"work_id":"3fe2f913-5e38-47a9-b24d-dba4c4dcdc54","year":2022},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.478092Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:be086c6b34addba1ca9c3478a96a59e39a156d1984ff22c2056088e59ba3b66d","observation_id":"64701128-35b0-475d-9457-737daa27c8f6","resolution":{"observed_at":"2026-08-06T17:26:10.870517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.861232Z","title":"Automatic medical report generation based on cross-view attention and visual-semantic long short term memorys,","venue":null,"work_id":"29062e21-ca1e-4a38-a1f8-e1dda2d1e6d8","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.484565Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:5d4e8acf7d84d1fbf2b9fbedaff7aa57a3ac52b272544cbc8240e39d3704d8ff","observation_id":"1613b590-902e-4ccc-8465-b1caa7ba75b7","resolution":{"observed_at":"2026-08-06T17:26:10.864074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.855093Z","title":"Improving factual completeness and consistency of image-to-text radiology report generation,","venue":null,"work_id":"82358355-d37d-4e07-8087-012ee9938c1e","year":2021},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.495509Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:38c1c3c5d605688b0c5b91c5497a26ae1770980280272ae46b4d98481e7b4dea","observation_id":"062e2ce1-8fc3-4969-9b37-bb8955b49555","resolution":{"observed_at":"2026-08-06T17:26:10.857589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.848595Z","title":"Improving the factual correctness of radiology report generation with semantic rewards,","venue":null,"work_id":"4e894520-031e-47c8-a91a-cf3890b2acfb","year":2022},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.497688Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:0c600c7ea3e892f6b1e634e38ac4e1da29231ec9ad18ed203f7f96394d54b91e","observation_id":"b7e97ab7-4ace-4f7d-a805-505c69c4fde0","resolution":{"observed_at":"2026-08-06T17:26:10.850889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.842804Z","title":"Dynamic graph enhanced contrastive learning for chest x-ray report generation,","venue":null,"work_id":"a29720b2-7da9-4c81-a213-6a27f7f19d5f","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.499627Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:6e946d6b3389db809f9311a54c44a01392a99afe551fb1ffeca270419fb0fa99","observation_id":"a9b5ae57-c3e6-4111-acb9-2523f9ff5aa9","resolution":{"observed_at":"2026-08-06T17:26:10.844888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.836492Z","title":"Attributed abnormality graph embedding for clinically accurate x-ray report generation,","venue":null,"work_id":"19ca74d1-f689-4ac8-bc74-969fef3dbae1","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.501514Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:09eb879f7962907e05ea2f8456e146a4f2f80fd8d74147ff159e4ec52a1cdafe","observation_id":"2e7c89da-854b-41d7-85d7-68695269232c","resolution":{"observed_at":"2026-08-06T17:26:10.838885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.830665Z","title":"Embracing uniqueness: Gen- erating radiology reports via a transformer with graph-based distinctive attention,","venue":null,"work_id":"87e0a389-06b1-406d-bda7-ef0446466f2c","year":2022},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.504439Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:05d017b66bde9949bed717c63f6a20bf546eb94311214f77219a9cc83910c109","observation_id":"b1df4a4b-78d9-4c90-8d43-7a384702c52f","resolution":{"observed_at":"2026-08-06T17:26:10.832823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.824775Z","title":"Clinically accurate chest x-ray report generation,","venue":null,"work_id":"ec1cf0e5-599b-4baf-adb8-85dbd9bff513","year":2019},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.506522Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:87d30e5f7169cc5eb585b0f216f7a8fd1068cd6b87550a90f486a21682d2c3b3","observation_id":"6fdecc43-dadd-4d20-9f6f-ed8e34b14ccb","resolution":{"observed_at":"2026-08-06T17:26:10.826897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.818804Z","title":"Automated generation of accurate & fluent medical x-ray reports,","venue":null,"work_id":"9725775c-e64e-443c-ad12-a2fa1d8a68e5","year":2021},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.508398Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:713c839165e4c472b3ce7dd4d965643fb6ea56137a613af956dcf79b16a927a8","observation_id":"0654085c-4d5c-4202-b077-2759647cd615","resolution":{"observed_at":"2026-08-06T17:26:10.821043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.812690Z","title":"Organ: Observation-guided radiology report generation via tree reasoning,","venue":null,"work_id":"8455ea8c-6399-4edb-94f6-fadf7ec848f1","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.510270Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:e9173003a6edf8c3e2b21c00043e096c6f8b2a822d22c91f104dcdf4b6e9f185","observation_id":"fad20202-7ff8-4085-b860-5536e9800bb5","resolution":{"observed_at":"2026-08-06T17:26:10.814816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.806456Z","title":"Radiology report generation with a learned knowledge base and multi-modal alignment,","venue":null,"work_id":"55f86b47-83d7-434e-819e-8a1fdfad1a70","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.512047Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:32b6a83092607c8f59f08ac8ae7669fb715aa57fdc36e69bd8817e4d41d3851d","observation_id":"d2e03ac1-232b-4a7a-abbe-1cc8a4aa6f9d","resolution":{"observed_at":"2026-08-06T17:26:10.808592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.800044Z","title":"Multi-grained radiology report generation with sentence-level image-language contrastive learning,","venue":null,"work_id":"7fdd2c2a-770c-473e-8589-6ef0dee56cd3","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.513770Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:3c5b0731b628b9ee4f9eed38bf884617543a85a38c8c854741549ecde987762c","observation_id":"47239eda-4030-4093-a325-2a85e8d7b660","resolution":{"observed_at":"2026-08-06T17:26:10.802724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.794348Z","title":"Camanet: class activation map guided attention network for radiology report generation,","venue":null,"work_id":"50ac3850-3a2e-400e-9d77-ca2a85658d64","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.515729Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:fc796b4656db1fc23fad03e14d296d2a32f6b838c9a4f120bac3af1e9a9cabc8","observation_id":"b3ac1cad-161a-4692-842e-dbe08f2ae47b","resolution":{"observed_at":"2026-08-06T17:26:10.796498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.788250Z","title":"Focusmae: Gallbladder cancer detection from ultrasound videos with focused masked autoencoders,","venue":null,"work_id":"1fea5c03-587d-4f18-b586-1b1c1258e654","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.517432Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:b942f41960e7c10c9a5c903967ff9d3db6ec91439e63a5d9b3f9ed8ee4201b8f","observation_id":"e9385627-2adc-4bb3-8a6f-9b9c67344a72","resolution":{"observed_at":"2026-08-06T17:26:10.790510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.782069Z","title":"Rethinking masked image modelling for medical image representation,","venue":null,"work_id":"f6b106bf-f29c-4d31-8e96-ea9acbbbc8d2","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.519612Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:a2eafb4eda330fe57377af18ed6cc7be8a1bae9795dca5f5be69f67aab590645","observation_id":"52c83115-b333-4202-9b66-4b2e95533852","resolution":{"observed_at":"2026-08-06T17:26:10.784204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.776303Z","title":"Learning phrase representations using rnn encoder-decoder for statistical machine translation,","venue":null,"work_id":"a9ac1b9e-53ed-47b9-9719-4767fc17a037","year":2014},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.521539Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:2c0541569043bb8f30079692fb535e777eb51c61f64a6c5f66891a66c9028a4e","observation_id":"17f490ff-8712-40a8-8966-ffd0c12808c8","resolution":{"observed_at":"2026-08-06T17:26:10.778438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.769751Z","title":"Sequence to sequence learning with neural networks,","venue":null,"work_id":"d3181849-f62a-4f62-992f-694d0f807c07","year":2014},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.523513Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:dc79be3697820ce0379f9f282551fd5bba864c9fde96d1827526ed035358201c","observation_id":"030f4b45-682a-4023-bed6-f3783bba2004","resolution":{"observed_at":"2026-08-06T17:26:10.772282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.763989Z","title":"Cross-modal memory networks for radiology report generation,","venue":null,"work_id":"60153bbb-69da-460b-af4f-05e0e785213b","year":2021},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.525386Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:c4e728d56443d029da1f2a95055d4749b21ac2826b94b3a596b593fc25427aed","observation_id":"63e1bed4-fecc-4dc3-ad0e-87bd785e4a23","resolution":{"observed_at":"2026-08-06T17:26:10.766119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.757952Z","title":"Matnet: Exploiting multi-modal features for radiology report generation,","venue":null,"work_id":"09ca9109-085e-44b0-95ed-f70ba2976fc4","year":2022},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.527186Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:79490c3c434d75594f2f178fb2cf7ce38aaf2ed66560ad67430735b07ac6d6f7","observation_id":"d4e3512a-8439-49c0-9823-3d1b75855716","resolution":{"observed_at":"2026-08-06T17:26:10.760084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.751720Z","title":"Semi-supervised medical report generation via graph-guided hybrid fea- ture consistency,","venue":null,"work_id":"8329b406-540c-4c42-b184-32bc718bba5f","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.529078Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:79cc4719f10321c0842daf42a30310c8e5e1661353f0008096c84e29d447fabf","observation_id":"51ade7b7-6015-4ae8-8e03-53e7497baf82","resolution":{"observed_at":"2026-08-06T17:26:10.754100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.745741Z","title":"Visual-textual cross- modal interaction network for radiology report generation,","venue":null,"work_id":"1010a75b-8372-4ecf-8778-6f0a34d6c013","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.530939Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:c6b3140a71858c60caf71f962972ffdafa2c028084629659d8912abaef7e0ebd","observation_id":"4ccef500-8761-4208-a7b2-06bb25166e29","resolution":{"observed_at":"2026-08-06T17:26:10.747996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.739207Z","title":"Mgmae: Motion guided masking for video masked autoencoding,","venue":null,"work_id":"2bcfbfc9-44d2-4abf-b63d-431b5159de18","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.533075Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:2d6c441ff9035753b6b7ce1f949b2cbcca0d39662c6fab440b87fdae03f713c4","observation_id":"f8fc9aa7-fd49-4b57-b0f1-22a755aa57bd","resolution":{"observed_at":"2026-08-06T17:26:10.741809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.733392Z","title":"Adamae: Adaptive masking for efficient spatiotemporal learning with masked autoencoders,","venue":null,"work_id":"b3aa258e-2f20-4fe1-acf0-6ecbdad5457c","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.535043Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:d8701595131d7f226304c4cc7721ab323a65ad86d29cfbfd931a1eaa065ed8ad","observation_id":"610d7153-e5be-4770-8667-695829d8f68f","resolution":{"observed_at":"2026-08-06T17:26:10.735494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.727066Z","title":"Medim: Boost medical image representation via radiology report-guided masking,","venue":null,"work_id":"8033a7e8-eb2d-4613-b647-7472e7914f6b","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.537153Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:e15dcacad3a0af9b10c4a5da5bc4139135f9399ca0f23e0db86c2c4fc1fbb728","observation_id":"67c51215-57f6-4d28-a889-9476e507e3e6","resolution":{"observed_at":"2026-08-06T17:26:10.729254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15840","last_updated":"2023-12-27T03:00:10Z","snapshot_observed_at":"2026-08-16T14:31:41.436078Z","submitted_at":"2023-12-26T01:14:10Z","title":"Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15840","snapshot_observed_at":"2026-08-06T17:26:10.539365Z","title":"Masked contrastive reconstruc- tion for cross-modal medical image-report retrieval,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.539365Z"},"links":{"cited_paper":"/paper/2312.15840","citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:2bd0eb883299cee5358cdc6b34bd51921c22780eac46b928e1f302a019d7a562","observation_id":"adb65b62-0276-42e6-bd34-e2f13e843086","resolution":{"observed_at":"2026-08-06T17:26:10.539365Z","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":"2026-08-06T17:26:10.720697Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":"9ac49c59-a818-469b-89eb-0177a28a8d04","year":2020},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.541402Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:504bcf3fcaaad445b7aef4b56b51aebc617bc5c0c82f11c938ad1d3a599b6857","observation_id":"860e1d47-a91b-44f8-aee7-4e84b8cf161b","resolution":{"observed_at":"2026-08-06T17:26:10.723011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.714574Z","title":"Publicly available clinical bert embeddings,","venue":null,"work_id":"9e060cf6-057f-4c7a-93e8-00d85632aae3","year":2019},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.543318Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:d44cafa1e79fa3f1498d5efbbe69a9577ae1865f1a508d4ca4e91240335309ea","observation_id":"4ac333c3-3caa-4bfc-9f7c-4a57dd656d1c","resolution":{"observed_at":"2026-08-06T17:26:10.716679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.708284Z","title":"Cross-modal prototype driven network for radiology report generation,","venue":null,"work_id":"90e3db75-4a4d-40ce-b3d7-126645ae27d4","year":2022},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.545219Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:697725afc04841322be97651164096fb49631334dd15ca7c94058d0661a41ed4","observation_id":"4dcfef4e-3da9-4699-8948-0ecaa419ab5a","resolution":{"observed_at":"2026-08-06T17:26:10.710699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.701937Z","title":"Kiut: Knowledge-injected u- transformer for radiology report generation,","venue":null,"work_id":"818d427f-8224-4caa-91b0-71ff7b97f8f4","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.547276Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:5588c056dcfc3afb87f09fe3b3d8765491eb590b77c6bc2a1c759078c2af9d6a","observation_id":"c0fe90d6-7338-419d-a7b7-990806932c33","resolution":{"observed_at":"2026-08-06T17:26:10.704122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.695634Z","title":"An organ-aware diagnosis framework for radiology report generation,","venue":null,"work_id":"dcc770d2-b2f3-471d-8ad8-74a3c5d0bd82","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.549121Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:9ddb99aaeb369da95a9ca53d2c91d59d29500a863dcf02c6a11aa805d8cd831e","observation_id":"87886b5a-b8a0-4863-b99a-40957de64820","resolution":{"observed_at":"2026-08-06T17:26:10.697877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.689041Z","title":"Phraseaug: An augmented medical report generation model with phrasebook,","venue":null,"work_id":"1e6e0c22-6c04-4d77-9a0c-69770e172a0f","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.551046Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:7648e70810206b09eff7e3e2776dea91010614025c925d0a064b8eb9958da68d","observation_id":"b1801d7c-3034-418b-8218-fc590491c79a","resolution":{"observed_at":"2026-08-06T17:26:10.691271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.552830Z","title":"Preparing a collection of radiology examinations for distribution and retrieval,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.552830Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:44e0a2e1e5679e1b738fe0633fe4be024954b244391f76a5faa5455e51833298","observation_id":"36d3aaf5-eb7c-4864-abbf-1aa6b5684e3f","resolution":{"observed_at":"2026-08-06T17:26:10.552830Z","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":"2026-08-06T17:26:10.678759Z","title":"Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports,","venue":null,"work_id":"7eba8830-ec53-4415-966f-75b13b1835a1","year":2019},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.554741Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:8e010e01fe4b31937e87586e4d4e1b5fb192efd5742d2d2a70c93bb6109d7317","observation_id":"25fe87ce-a076-4eda-b1f1-47664ce865c3","resolution":{"observed_at":"2026-08-06T17:26:10.681094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.672220Z","title":"Generating radiology reports via memory-driven transformer,","venue":null,"work_id":"36800c30-e1cb-4ee3-98e7-982d931ae82a","year":2020},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.558875Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:a26ee5b1cd2f301c4f32c80a7897cb935fe4fc92c105153537cc2bcb2d1bb188","observation_id":"5cf76f8e-5d17-46c6-871e-1ba7fa0b458e","resolution":{"observed_at":"2026-08-06T17:26:10.674445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.560588Z","title":"Bleu: a method for automatic evaluation of machine translation,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.560588Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:b84339c7b12b4981cdc7cbe82c5711990d4cd2924721ca2635af89e4e23f4f28","observation_id":"15a18e88-9757-4abf-b57b-87ba1fb95764","resolution":{"observed_at":"2026-08-06T17:26:10.560588Z","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":"2026-08-06T17:26:10.662430Z","title":"Meteor: An automatic metric for mt evalua- tion with improved correlation with human judgments,","venue":null,"work_id":"9223ec07-1cf3-43ae-9981-c0f6603dde8e","year":2005},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.562680Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:4447d9975e2598488e3623d6225c064f2667a89a74992db1251352d6b5eea02c","observation_id":"def42f4e-5091-48e3-b202-74ec40b5f5d3","resolution":{"observed_at":"2026-08-06T17:26:10.664751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.564670Z","title":"Rouge: A package for automatic evaluation of summaries,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.564670Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:d11a4ef05badcbf2317e1418c8c1c9964ed5ac7835e73df6428e1704b576cb1f","observation_id":"539188f8-ada8-43ea-903e-a6531932cf10","resolution":{"observed_at":"2026-08-06T17:26:10.564670Z","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":"2026-08-06T17:26:10.651858Z","title":"Baselines for chest x-ray report generation,","venue":null,"work_id":"05532a56-f5ff-400e-85d0-2699c557bfcf","year":2020},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.566670Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:f09e42055ba660be1bcaf6462654f828cbfc82d706e24f74a304ae7cee858e4e","observation_id":"1e50235e-0177-4cc4-9b54-4de305302a61","resolution":{"observed_at":"2026-08-06T17:26:10.654226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.644853Z","title":"Interactive and ex- plainable region-guided radiology report generation,","venue":null,"work_id":"fc021d2b-e644-4ed9-8baf-5eccb56daf4f","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.568664Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:0ce69367e55d905d6dc7fcd4018ad52a7113f99812d8632b2cf6e4d26acaa4d5","observation_id":"f62916c0-cad4-46d1-91e9-892f7b9e659b","resolution":{"observed_at":"2026-08-06T17:26:10.647134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.638762Z","title":"Combining automatic labelers and expert annotations for accurate radiology report labeling using bert,","venue":null,"work_id":"9a0db588-0636-4eef-a7b1-cb28022a8e21","year":2020},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.570632Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:69896d69a1ade73f45fbfda21ee818fb88f708cbba117e71e6460e709e4ed8aa","observation_id":"e2175056-52db-4b5b-8b51-fb8cfa5ea012","resolution":{"observed_at":"2026-08-06T17:26:10.640892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02463","last_updated":"2023-11-16T12:38:46Z","snapshot_observed_at":"2026-08-16T15:10:43.905696Z","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":"2026-08-06T17:26:10.572710Z","title":"Towards generalist foundation model for radiology,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.572710Z"},"links":{"cited_paper":"/paper/2308.02463","citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:2261d21c5466cd1106d21e84fdbfcaaeaac31383d1fae0a5bc12e2bc7e6d8025","observation_id":"72a6e160-caac-454d-ad18-4d89b266d09c","resolution":{"observed_at":"2026-08-06T17:26:10.572710Z","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":"2026-08-06T17:26:10.632395Z","title":"Llava-med: Training a large language-and-vision assistant for biomedicine in one day,","venue":null,"work_id":"3a7b3476-e55b-4b46-ad6d-ea16a27f8d1f","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.574984Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:fb6bcf7fa07ef311641d3f9542b2c0d5ab5ef6cff7bdaef507bcc2f3c80960a1","observation_id":"7a0931b7-f809-4c14-9609-c829663c4373","resolution":{"observed_at":"2026-08-06T17:26:10.634681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.625372Z","title":"Med-flamingo: a multimodal medical few-shot learner,","venue":null,"work_id":"bf0750cd-05cb-4dc9-a5c9-9f5278b54713","year":2023},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.576928Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:cd4531d944a89aab268348ab6d17888140d68571609c3099e7c93ab6bbc594ca","observation_id":"0006106c-461b-498d-97eb-68d82252b16b","resolution":{"observed_at":"2026-08-06T17:26:10.627644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-06T17:26:10.616432Z","title":"Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,","venue":null,"work_id":"e2455e6d-73e6-4177-872b-0eb658995044","year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.578745Z"},"links":{"citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:2557fc9deb16d2d524848d2010d64c7ad6612be07b2d0f1af92de190389042ad","observation_id":"176795f6-e03d-4303-8ac0-c260419cb7f3","resolution":{"observed_at":"2026-08-06T17:26:10.620271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15127","last_updated":"2024-11-04T15:54:21Z","snapshot_observed_at":"2026-08-18T19:46:53.247082Z","submitted_at":"2024-04-23T15:27:19Z","title":"GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15127","snapshot_observed_at":"2026-08-06T17:26:10.580853Z","title":"Meddr: Diagnosis-guided bootstrapping for large-scale medical vision-language learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T17:26:10.580853Z"},"links":{"cited_paper":"/paper/2404.15127","citing_paper":"/paper/2507.11015"},"observation_digest":"sha256:39cacb306f4b21ba528b7e67e4d08608bf1508ff9d367a210323d4aac0ffc6aa","observation_id":"da2fcefb-d639-4dd5-b0cc-ebc5e8969d13","resolution":{"observed_at":"2026-08-06T17:26:10.580853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.11015","last_updated":"2025-07-15T06:15:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T08:07:10.135666Z","submitted_at":"2025-07-15T06:15:07Z","title":"Semantically Informed Salient Regions Guided Radiology Report Generation"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":44},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.11015."}