{"as_of":"2026-08-09T20:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4acb622f80bdb2c3cde438ee805662fa06ea1a712697fc969ec465c72e8abf9b","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:47:59.333243Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:47:55.415683Z","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":"2026-08-07T12:47:59.473383Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"cited_work":{"arxiv_id":"2505.23503","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.23503","snapshot_observed_at":"2026-08-07T12:47:59.473383Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","venue":"eess.IV","work_id":"619aa427-ea93-478d-9fa3-efbcc7972411","year":2025},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.415683Z"},"links":{"cited_paper":"/paper/2505.23503","citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:30d923449230cd193836efa17b4e9243ecfea4e184ac171fd5dfc318120a90c1","observation_id":"09f94f0b-7708-4ce5-8fc5-d2ba4ff87006","resolution":{"observed_at":"2026-08-07T12:47:59.577983Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.23503/citation-record","integrity":"/paper/2505.23503/integrity","json":"/paper/2505.23503/citation-record.json","paper":"/paper/2505.23503"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"cited_work":{"arxiv_id":"2505.23503","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.23503","snapshot_observed_at":"2026-08-07T12:47:59.473383Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","venue":"eess.IV","work_id":"619aa427-ea93-478d-9fa3-efbcc7972411","year":2025},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.415683Z"},"links":{"cited_paper":"/paper/2505.23503","citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:30d923449230cd193836efa17b4e9243ecfea4e184ac171fd5dfc318120a90c1","observation_id":"09f94f0b-7708-4ce5-8fc5-d2ba4ff87006","resolution":{"observed_at":"2026-08-07T12:47:59.577983Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:06.714055Z","title":null,"venue":null,"work_id":"8a04e3b1-1c4e-4226-ae58-316b7deba791","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.495141Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:93c1deade00c754cf5cf46c00db8f08fb3316b0366355845e6bde877744592ad","observation_id":"426bd6dc-cf4b-4b31-ae59-4082b902e9a9","resolution":{"observed_at":"2026-08-07T12:48:06.821538Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:06.315811Z","title":null,"venue":null,"work_id":"afb76ea4-bdc8-4674-9d4c-792006304f6a","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.659236Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:df5af4e96d02f6810311e4eb11006bfe2d55c9fc92a3b0f74394978c54808b10","observation_id":"6ba62a96-5f44-4d39-86fe-b794e11603fe","resolution":{"observed_at":"2026-08-07T12:48:06.380403Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:05.426349Z","title":null,"venue":null,"work_id":"c1e48dcb-aeed-408c-b32d-a7672dcb38dd","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.047697Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:a21ae813c7f7c3ef593591edacc9cf6a66f88b12fa03c90a5591379495291852","observation_id":"b7babd35-24f6-4fec-9328-9cdb66cdfd8d","resolution":{"observed_at":"2026-08-07T12:48:05.506454Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:06.095352Z","title":"From this dataset, we first extract only those samples correspond- ing to the desired label (e.g., “normal” in the context of COVID classification)","venue":null,"work_id":"3cb7ba78-0f09-4a90-b073-0ca57a61fd87","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.749254Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:0431232546606ad7812cef0814934b13a102c1e456e7b31f038f85c657724ddc","observation_id":"e121b5a2-e941-4b59-8271-631443dac242","resolution":{"observed_at":"2026-08-07T12:48:06.207452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:05.875712Z","title":null,"venue":null,"work_id":"984b59e0-2283-45eb-a430-a2947f551193","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.841729Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:3f088d99ac45bfd1e669a11b931fdcf03ab17bbe42739e1c1bad5d46b6bc6f4c","observation_id":"50d47b90-8f81-493a-a466-8dc55c4dec6c","resolution":{"observed_at":"2026-08-07T12:48:05.971591Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:05.639704Z","title":null,"venue":null,"work_id":"39e76d39-ef7a-4f00-b1ea-a65e67a58be3","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.967346Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:727d299bd0f5787d93a29493148fb42527501796d02327ec188ae1652bc7accf","observation_id":"9eaad0ea-c217-4275-b0f1-7930dbbf0af6","resolution":{"observed_at":"2026-08-07T12:48:05.764061Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:02.426776Z","title":"Large language models in medicine,","venue":null,"work_id":"1b366f9b-53d1-446b-b3c4-b2b4b8470a74","year":1930},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.524190Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:96ae7a3fe77c9483a1963290583cb2a0dfe10c8a27c84351b06348db5f193ca6","observation_id":"f8e44618-c0e1-4e68-a2c4-e889ca1c647d","resolution":{"observed_at":"2026-08-07T12:48:02.549908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:05.165752Z","title":null,"venue":null,"work_id":"0ff236f8-e54d-4e8c-8e14-0553a7c6e1c8","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.124361Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:8a415a7bb82a11ba3b36e90cc38cd21503e5cd5b6fae17218a368aff7b5bd7b4","observation_id":"273f8787-d9a9-47ec-8928-66d753c1c58e","resolution":{"observed_at":"2026-08-07T12:48:05.296708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:04.962669Z","title":null,"venue":null,"work_id":"ef72b1fb-f086-474d-9716-455b9df0131c","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.195299Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:28ed223892377d164ca038ffefd626a71170f26fa2a5f99812f214c0299fe6de","observation_id":"c4988247-ef6a-4c5a-b7e4-63ebcca17961","resolution":{"observed_at":"2026-08-07T12:48:05.065081Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:04.757387Z","title":null,"venue":null,"work_id":"7170ba8c-b442-4195-ae75-8f457a3e4359","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.277490Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:b52abd9502a990a850899936780beb3b727873dc9def90e6a019305079360886","observation_id":"cd03c051-d9a3-4382-8cf9-c592e3a83138","resolution":{"observed_at":"2026-08-07T12:48:04.838931Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:04.449972Z","title":"The first line should contain only either normal or abnormal","venue":null,"work_id":"dd2f370f-3dfb-4485-ad9b-7ade61e45fef","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.394322Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:9df6ebf7bf1ea728eaa6739f2c1a754386b871a4ed94fc8eb6cd5ac6808a8f8e","observation_id":"ffa89ccf-d945-4d41-bb57-86acee4ff1bd","resolution":{"observed_at":"2026-08-07T12:48:04.591711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:04.190508Z","title":"Evaluation Metrics The performance of CNNs and LLMs was evaluated using sev- eral key metrics","venue":null,"work_id":"99e63be1-14ba-423a-b3e3-070f93deb01e","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.542968Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:dd059b60fcfd9a25f93b3d85c65dcbf5226143121268d42702b297bd5a578d7a","observation_id":"964d79d8-a0d9-478e-b354-ea3551f66e30","resolution":{"observed_at":"2026-08-07T12:48:04.331554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:03.954605Z","title":null,"venue":null,"work_id":"709eb58d-7ff5-4302-9b5e-6850caf8d35e","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.690710Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:b519240bacdecd2dc13fcf4dd8b54cbcb03cf133f48faf66efeb0df4a196bfa9","observation_id":"b8ddcbb6-7f91-45c0-92d2-55df6c9f8337","resolution":{"observed_at":"2026-08-07T12:48:04.071999Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:03.683408Z","title":"A review of deep learning in medical imag- ing: Imaging traits, technology trends, case studies with progress highlights, and future promises,","venue":null,"work_id":"29b46b17-64bd-42f0-98f4-08f86b711567","year":2021},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.803211Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:c39b3e9338cd11f2442455141e3e04d358fe3c01e85670d20ac0f432749630e3","observation_id":"367be540-15f5-468b-8230-2d61f7e993a2","resolution":{"observed_at":"2026-08-07T12:48:03.810758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:06.507777Z","title":"This dataset is commonly used to benchmark AI models for classifying chest X-rays","venue":null,"work_id":"a7043bc3-137e-4bc5-bbd8-c51a1b933e61","year":null},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:55.586443Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:3e3a7c7c2c431c0b2765dcb5b118a2c62fc719f4872cc5c9fbea2098eefe4c28","observation_id":"ab48e3f4-8555-42b2-8653-f2a9c0765162","resolution":{"observed_at":"2026-08-07T12:48:06.613520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:03.493363Z","title":"Two-stage selective ensemble of CNN via deep tree train- ing for medical image classification,","venue":null,"work_id":"8901fe8c-0c38-45d2-b225-3fb174c5fc7e","year":2022},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.906703Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:4c3866d9077455e3682656de8dff758c1b1dc791e3e8242ae21adf2e89703123","observation_id":"69bb2e91-b2fe-4baa-879a-d3d4333658ac","resolution":{"observed_at":"2026-08-07T12:48:03.566225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:03.288173Z","title":"Blockchain- federated-learning and deep learning models for COVID- 19 detection using CT imaging,","venue":null,"work_id":"da8e6bb5-db79-48f9-94c6-4c4df332ab50","year":2021},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:56.985186Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:bed0764cd56a0b0bc2c0c0a172d67e82c87fe8c49bcf63acaba2d8f1cce0a9e3","observation_id":"ee6acf73-7bba-46e8-a8cc-102238160d99","resolution":{"observed_at":"2026-08-07T12:48:03.410755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:03.089807Z","title":"Znet: Deep learning approach for 2D MRI brain tumor segmentation,","venue":null,"work_id":"fd834313-322e-448f-8d76-df00dd40299a","year":2022},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.090237Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:09893727aa18cdd9016ea6f4ae12c9e53dd986a3e1e419fdc6777d096b51d11c","observation_id":"8f4a66c4-3a4f-4608-99a0-1de410477b0b","resolution":{"observed_at":"2026-08-07T12:48:03.180727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:02.916237Z","title":"UNETR: Transformers for 3D medical image segmentation,","venue":null,"work_id":"eb03387d-f893-4a32-b28a-1524657dc981","year":2022},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.197112Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:e3188174c413ebbc8b5b7768d7adf4412dff51bc4bfc79b3953dda098c328860","observation_id":"8f1ce7bf-3bad-45f3-a372-d93e08e0dd5e","resolution":{"observed_at":"2026-08-07T12:48:02.981237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:02.788218Z","title":"CapsCovNet: A modified capsule network to diagnose COVID-19 from multimodal medical imaging,","venue":null,"work_id":"f76d0641-3dc0-41ed-852d-239e1864a2f2","year":2021},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.299708Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:def8b09c3f2ea19c7a20834202efbd1f7ec8aa812fed5178c9b25e9b45d5811c","observation_id":"056f473e-3581-4ba4-9b2d-543c1fdb4f41","resolution":{"observed_at":"2026-08-07T12:48:02.831029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:02.628122Z","title":"Unsupervised medical image translation with adversarial diffusion models,","venue":null,"work_id":"275752fe-fcc4-469e-9737-22d683297651","year":2023},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.413067Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:aac527f692f12c8c774add20dcf141f3c540f033228a4dd6283cdb7a3bcb492c","observation_id":"f6b6bb93-1a1c-4ddb-bd6b-3adb7abd5ab2","resolution":{"observed_at":"2026-08-07T12:48:02.710129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:02.236795Z","title":"Eval- uation and mitigation of the limitations of large language models in clinical decision-making,","venue":null,"work_id":"af0cf364-11e5-40c3-bbf5-1864cd6d9680","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.605849Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:a42bd2d322fbb6735d0466533e28d97e7666e2b60a9cd6ecbb3121360a6d4f5d","observation_id":"da807b35-c5f9-4f31-b3bc-c1cd26e6ae46","resolution":{"observed_at":"2026-08-07T12:48:02.324741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19061","last_updated":"2025-08-20T14:24:25Z","snapshot_observed_at":"2026-08-07T15:58:54.203601Z","submitted_at":"2025-04-27T00:39:12Z","title":"Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.19061","snapshot_observed_at":"2026-08-07T12:47:57.706717Z","title":"Hallucinations and key information extraction in medical texts: A comprehensive assess- ment of open-source large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.706717Z"},"links":{"cited_paper":"/paper/2504.19061","citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:c237e4fbf9e936a5fb013ae66a58684458802ad7565a3a017d5edbe1ee1d6547","observation_id":"c351cda3-c118-4070-8de3-d99f95a4038a","resolution":{"observed_at":"2026-08-07T12:47:57.706717Z","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":"2026-08-07T12:48:02.098782Z","title":"Performance of ChatGPT on USMLE: potential for AI-assisted medical education us- ing large language models,","venue":null,"work_id":"f5295eef-9124-4d6a-9722-68bb68e480b7","year":2023},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.781350Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:0a53a0b2af8d5cc95aa50610f996730515d86ee96513a66b58b6131eaefbc3e0","observation_id":"92a931d8-b3ff-4f03-96ad-9238b02b4ddd","resolution":{"observed_at":"2026-08-07T12:48:02.163837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:01.907621Z","title":"Explainability for large language models: A survey,","venue":null,"work_id":"8dfef83f-7a2b-44dd-ab60-1ed4039669b4","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.888563Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:3be6e8dd1193ecb4ea0bc2099ed5704589da0d7b11b9d2d403ccf229db3cd784","observation_id":"f1de3b1c-73d0-4106-b3c6-d6343d7bc2e4","resolution":{"observed_at":"2026-08-07T12:48:01.992411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:01.734111Z","title":"CXR-LLaV A: a multimodal large language model for interpreting chest X-ray images,","venue":null,"work_id":"01da41cf-f8ea-41e9-a816-7775ea37ee29","year":2025},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:57.994078Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:f03cedb3eda9d2eab9e151a56e3535f33fb73958f025ea285053f6a8e5e43d2a","observation_id":"333f71ae-a0c7-4f66-90c2-ac2b48b59dc5","resolution":{"observed_at":"2026-08-07T12:48:01.813875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:01.590802Z","title":"A LLM-based hybrid-transformer diagnosis system in healthcare,","venue":null,"work_id":"0fa464e7-9d9a-435a-bd66-eecf6bdbcc05","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.101401Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:a5a73809cb9c2bacdb3f502607843eac9ada13dbc0f76a27c4e92b915bb4a2d4","observation_id":"3a81eb59-dfb7-45b7-88f3-607055ba194a","resolution":{"observed_at":"2026-08-07T12:48:01.674075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:01.402937Z","title":"Chat- CAD+: Toward a universal and reliable interactive CAD using LLMs,","venue":null,"work_id":"4244f336-a198-466d-bc91-56abb1079b3a","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.206501Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:97f9f08a91a35bc78229a2e8b963d89ddb98ecd02d9b41fe186c2257d1dcb663","observation_id":"9aad3807-7693-453a-ae47-471f0b34c1a5","resolution":{"observed_at":"2026-08-07T12:48:01.516321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:01.233592Z","title":"Can AI help in screening viral and COVID-19 pneumo- nia?,","venue":null,"work_id":"da4dcb78-2e46-46bc-98ef-1f3ae957af34","year":2020},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.318256Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:bd070fda004c0313686fa38e4209d76f5cb21184b099a3da367ab078f610955b","observation_id":"5a20ab3b-cfba-46bf-8218-0e0b40fde613","resolution":{"observed_at":"2026-08-07T12:48:01.293603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:01.079358Z","title":"Exploring the effect of image enhancement techniques on COVID-19 detec- tion using chest X-ray images,","venue":null,"work_id":"809672dc-5884-4761-8a6b-83af0bdfe0cb","year":2021},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.430580Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:b64e76ed82bdc8610c35f1b3f9106f12a6acd85a33a66f5c9462bf97c4e7c39b","observation_id":"bf89030b-377e-4869-8866-843340316962","resolution":{"observed_at":"2026-08-07T12:48:01.137367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:00.918191Z","title":"Brain tumor MRI dataset,","venue":null,"work_id":"c971ad43-bd46-4f2f-9d17-ce5527f5da9e","year":2020},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.539789Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:1cc88e8930333ec0256a66c1c128a54e923fdd5283f07f5a995905d821caaa1e","observation_id":"bdd27c7f-adf1-48a2-b82f-a20f5c8905c5","resolution":{"observed_at":"2026-08-07T12:48:00.985081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:00.793014Z","title":"Chest CT-scan images dataset,","venue":null,"work_id":"3f5c6554-41ce-4680-9e18-185e6b31b52c","year":2021},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.618462Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:d539d17e009850a7a0793b50214836994f4e66c890b708f3110105156a8ed5a5","observation_id":"0a0529e0-6fd7-439b-b5e1-2448e08fb9b5","resolution":{"observed_at":"2026-08-07T12:48:00.852385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:00.665186Z","title":"MMBERT: Mul- timodal BERT pretraining for improved medical VQA,","venue":null,"work_id":"927358eb-b37c-4531-b30d-b4d3cb4cfbf9","year":2021},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.719345Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:eb2b752c2d119de8352c331710ba1ffaf63023f8f70891796c08d948cc994240","observation_id":"8b89bb19-f4ae-4b57-bd03-d1d35d064183","resolution":{"observed_at":"2026-08-07T12:48:00.709222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:00.536389Z","title":"Multi-task paired masking with alignment modeling for medical vision-language pre-training,","venue":null,"work_id":"2c625c19-29fa-42cf-92db-7a709509ef40","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.830547Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:1c0eac300c4ed4f75f2a1f389fd822b018890040ae8e6534344e9e28164ae96a","observation_id":"b5e8cd18-8a41-4d82-8e80-61a91e8af733","resolution":{"observed_at":"2026-08-07T12:48:00.587705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:00.392231Z","title":"On large visual language models for medical imaging analy- sis: An empirical study,","venue":null,"work_id":"a88294f0-40b1-4b94-91ff-4053a9e72982","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:58.910683Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:2cef4541fa25a4c5fa88d9c2eaa6e0a15c9a0987040f43ddef19146d0f2613a6","observation_id":"fdbe237b-e147-484b-bc42-8a868e06bbb2","resolution":{"observed_at":"2026-08-07T12:48:00.453871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:00.256844Z","title":"Large language mod- els in healthcare and medical domain: A review,","venue":null,"work_id":"0e177cb5-97d8-452b-aac8-8b0724e25daf","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:59.009316Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:91b2428b322b4768baac39a9d20d4d07eaa94a6386e88d28cd712cd93320f094","observation_id":"d427b9cf-7dbb-43ab-92c7-a85dba1cdfd1","resolution":{"observed_at":"2026-08-07T12:48:00.311555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:48:00.122135Z","title":"Ex- plainable vertical federated learning for healthcare: En- suring privacy and optimal accuracy,","venue":null,"work_id":"f6184a0c-ecfd-41f3-a335-db241151cf30","year":2024},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:59.083886Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:4345062ebdcfb7870e0517f72d99e9d63793e643f130df28239436ae1f61f38e","observation_id":"6662363c-cc9f-4a43-a95c-161821d80eb3","resolution":{"observed_at":"2026-08-07T12:48:00.195148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:47:59.995389Z","title":"On calibration of modern neural networks,","venue":null,"work_id":"20a87a88-1691-4cda-9849-89f8645d3168","year":2017},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:59.146980Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:c6c45ad18e763ec65d00d4767da8cb74b5f33a391b8f7bcfbc4a8b12461c83f0","observation_id":"8a4a233a-26fb-4476-ba5e-7905db86d8ba","resolution":{"observed_at":"2026-08-07T12:48:00.060314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:47:59.841661Z","title":"Estimating the carbon footprint of bloom, a 176b parameter language model,","venue":null,"work_id":"20850406-cbba-40cf-8973-e120daaa0efe","year":2023},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:59.250405Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:f8e75b53605a999e6a32de5c325406fd53a6bcb6a46ff633fe3e6c70427a39ba","observation_id":"3f8a7133-072a-4c16-8385-a3c361745ee8","resolution":{"observed_at":"2026-08-07T12:47:59.919205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T12:47:59.695361Z","title":"Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning,","venue":null,"work_id":"c6662796-bba0-41bc-87b7-e376f26c21c2","year":2022},"citing_paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:47:59.333243Z"},"links":{"citing_paper":"/paper/2505.23503"},"observation_digest":"sha256:28255b03274c5e8eb03ce7ac0017ced06a774b949571cdcb9f8ec0fd6c70a1dc","observation_id":"2ee97a13-a651-4da5-aff6-0f327bb65262","resolution":{"observed_at":"2026-08-07T12:47:59.768060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.23503","last_updated":"2025-06-03T14:52:14Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-07T12:42:29.912515Z","submitted_at":"2025-05-29T14:48:09Z","title":"Can Large Language Models Challenge CNNs in Medical Image Analysis?"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":9,"verified_exact":1,"verified_fuzzy":30},"total_outbound_references":41},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.23503."}