{"as_of":"2026-08-14T20:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6613d883a087ac10485781a31d42e75ef1ebf281ede5c9453dc01d18d404f6ee","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:35:08.367069Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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":"2026-08-05T16:49:43.302513Z","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":"2026-08-05T16:49:45.361662Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"cited_work":{"arxiv_id":"2506.23810","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.23810","snapshot_observed_at":"2026-08-05T16:49:45.361662Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","venue":"cs.CV","work_id":"1a5ea08e-cd86-4855-9e18-46082506215e","year":2025},"citing_paper":{"arxiv_id":"2508.17844","last_updated":"2025-08-25T09:49:27Z","snapshot_observed_at":"2026-08-09T10:58:18.036543Z","submitted_at":"2025-08-25T09:49:27Z","title":"Diffusion-Based Data Augmentation for Medical Image Segmentation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T16:49:43.302513Z"},"links":{"cited_paper":"/paper/2506.23810","citing_paper":"/paper/2508.17844"},"observation_digest":"sha256:f5cbd53d58f5a207c86caf0617da359c80581ef635ff69420c7376dfe4adfdfd","observation_id":"debfd30c-800d-4d91-8310-5548d0ec6056","resolution":{"observed_at":"2026-08-05T16:49:45.588931Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.23810/citation-record","integrity":"/paper/2506.23810/integrity","json":"/paper/2506.23810/citation-record.json","paper":"/paper/2506.23810"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.02314","last_updated":"2021-09-12T20:26:52Z","snapshot_observed_at":"2026-08-13T21:11:51.023488Z","submitted_at":"2021-07-05T23:12:06Z","title":"The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.02314","snapshot_observed_at":"2026-08-06T21:35:08.216572Z","title":"arXiv:2107.02314 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.216572Z"},"links":{"cited_paper":"/paper/2107.02314","citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:70bce0622e1021f58629fcdbfe628ed75507b9db1dc8a796b8a7780ba93ba19d","observation_id":"80d13f0a-eb1d-4244-aec1-bfa0d86d612e","resolution":{"observed_at":"2026-08-06T21:35:08.216572Z","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":"2026-08-06T21:35:09.008619Z","title":"Scientific data 4(1), 1–13 (2017)","venue":null,"work_id":"380139ab-53bc-451b-b831-4352d8f16bd2","year":2017},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.221545Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:d3a1b84ab6b7f46c1fee52bfa2f3900e6ec13b97b64474d9d88bc9f11a811535","observation_id":"eb996d11-c368-4d15-9891-4a1ca23bfef3","resolution":{"observed_at":"2026-08-06T21:35:09.012820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.993559Z","title":"Jama 318(22), 2199–2210 (2017)","venue":null,"work_id":"32ee53d9-a573-43cc-99b7-45862d0b0a54","year":2017},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.225592Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:b117911c0fa14099e1244a6ac8aee8c464832f9e6c5e0f8fb9e89f34e853c35e","observation_id":"71a89879-b073-40ba-94c5-10dcf1e678ae","resolution":{"observed_at":"2026-08-06T21:35:08.997708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.979628Z","title":"Medical Image Analysis84, 102680 (2023)","venue":null,"work_id":"6a75f32f-8753-4190-b0ff-9f7396d9ec62","year":2023},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.229897Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:cccefbe8246166120cb4a930d968c87535b291c596fa0fc04ad2dead0e7c443a","observation_id":"c66cf564-907e-4476-8db4-c36d6abcd9e6","resolution":{"observed_at":"2026-08-06T21:35:08.983695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17382","last_updated":"2023-10-11T07:02:45Z","snapshot_observed_at":"2026-08-14T16:27:45.217025Z","submitted_at":"2023-05-27T06:24:43Z","title":"APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17382","snapshot_observed_at":"2026-08-06T21:35:08.234445Z","title":"arXiv:2305.173822(4) (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.234445Z"},"links":{"cited_paper":"/paper/2305.17382","citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:46b200313cc6cbbf179d55e9c3338e2b03e962a50040883bf9de888c42402afd","observation_id":"c50e234c-ec7b-4851-b882-889c1081381e","resolution":{"observed_at":"2026-08-06T21:35:08.234445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:35:08.239075Z","title":"In: CVPR","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.239075Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:0f7f92392dcc94d6beaf37669bc2261ad2c96f139fb44c8a310c47e65442a743","observation_id":"b064c198-6c32-41ff-94a0-064dd6c563a7","resolution":{"observed_at":"2026-08-06T21:35:08.239075Z","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":"2026-08-06T21:35:08.955745Z","title":"In: CVPR","venue":null,"work_id":"312917be-3164-48f6-8dd0-97d3448b6f1d","year":2022},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.244073Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:7df871b92a3227e06aaf045b7f2c6df6f9ec6f80587634c63def60b1a887373a","observation_id":"5d94036d-19d2-473d-afe0-922ff0c0af6b","resolution":{"observed_at":"2026-08-06T21:35:08.960072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.942514Z","title":"ACM Comp","venue":null,"work_id":"07817dee-f804-4fc4-bd52-5aed0f45060a","year":2021},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.248101Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:28df6030e14ddefd6ceffa880b7d0706a00d098db82231b898fdb32ee79d39c9","observation_id":"a8bc003f-c36f-4faa-b33a-ac17f79a6160","resolution":{"observed_at":"2026-08-06T21:35:08.946517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.928952Z","title":"In: WACV","venue":null,"work_id":"1cec8dec-1ff6-4e15-9635-c6aea5d6915a","year":2022},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.252188Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:99ba397a51e446d8f7a7780d14af13b8c80fbdbf62af51871e6b313ac16d3d38","observation_id":"b93483aa-69b4-4d62-ad38-a241d734d80b","resolution":{"observed_at":"2026-08-06T21:35:08.932938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.256719Z","title":"Medical image analysis55, 216–227 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.256719Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:5016714f566a33fe340aaa92a08cad2c37c0e720e49cda7d76edd40ada0faefe","observation_id":"09348f43-582e-4f8a-931a-6cb15821e1e2","resolution":{"observed_at":"2026-08-06T21:35:08.256719Z","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":"2026-08-06T21:35:08.905423Z","title":"Biomolecules14(5), 590 (2024)","venue":null,"work_id":"28bf00ca-8bc5-47be-9b48-1b1613a8c85a","year":2024},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.261018Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:0c03c74c6f7aaae4d4ef79ce708e4554700d685f6f5b74b1c78f8e43f515dcd1","observation_id":"0b301db6-6e35-46d6-b4f3-2395d0e8b3d2","resolution":{"observed_at":"2026-08-06T21:35:08.909505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.892051Z","title":"In: ECCV","venue":null,"work_id":"20358939-1000-4a71-800e-545d26961f3d","year":2022},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.265014Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:2c588751d3ba3d0291e0d8b53d1c9e332c97890983c94cebcf331a4bb61c519b","observation_id":"9e4f7f72-80c1-482a-9694-40da1f9f0cbe","resolution":{"observed_at":"2026-08-06T21:35:08.896162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.878257Z","title":"In: CVPR","venue":null,"work_id":"98272524-6ef8-4ebf-a3cc-d9835976b574","year":2024},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.269278Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:17b04f16827daf551182a9ecaa045923472161952f8594589ef04d7f590ce44a","observation_id":"db127760-3085-40ee-a4ec-d663180cb98f","resolution":{"observed_at":"2026-08-06T21:35:08.882351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.863540Z","title":"In: AAAI","venue":null,"work_id":"7bc5958b-09c2-4a1a-b924-ffa5cc3e1a65","year":2019},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.273275Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:edd1c1e78d3bab099b590fe12555ff6d4035049bf83f226bcdc5f542aeb9a4db","observation_id":"34100322-6a01-4ae2-8623-5cb85f1f3ec4","resolution":{"observed_at":"2026-08-06T21:35:08.868337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.848591Z","title":"Journal of Magnetic Resonance Imaging 27(4), 685–691 (2008)","venue":null,"work_id":"abf0215e-43e3-46de-ba91-b106dc028da1","year":2008},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.277151Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:207411b4509afc0fc0ec83253bf1e8622025b1de15952791759163a74816b1aa","observation_id":"be77bb69-e958-4115-854b-76dce4453ed5","resolution":{"observed_at":"2026-08-06T21:35:08.853314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.833208Z","title":"In: CVPR (2023)","venue":null,"work_id":"12988174-cd96-4023-aa6f-9c92c2e24763","year":2023},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.281109Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:d4042bfbded5fd86466219d67057a4ce5756430467564996354010db0545bea4","observation_id":"8ea3599a-b35b-4541-9ee6-46183c1cc5f4","resolution":{"observed_at":"2026-08-06T21:35:08.837150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.819570Z","title":"cell172(5), 1122–1131 (2018)","venue":null,"work_id":"5e0b9eb0-0a4c-48ad-9708-90bf78aa7f81","year":2018},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.285139Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:06a0a93837fc54ce285cb51a6b80f091663a0ffcd9d78fcb7e26dd721225a727","observation_id":"1c916fe3-0942-4e17-8614-b53797107396","resolution":{"observed_at":"2026-08-06T21:35:08.823854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.804956Z","title":"Scientific data11 (2024)","venue":null,"work_id":"2ab109cf-2aa5-4181-9918-47cd1a5871fc","year":2024},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.289111Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:a83c1e5b9ad450ecfedfd7e472aa981761b88cf8014af171200934f93e7e3ab3","observation_id":"3854fd6a-1902-4c1d-9d2f-db9122cc5817","resolution":{"observed_at":"2026-08-06T21:35:08.809504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.790339Z","title":"In: MICCAI Multi-Atlas Labeling Beyond Cranial Vault—Workshop Challenge","venue":null,"work_id":"83556b1d-05b5-4b85-8085-9876a85189fd","year":2015},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.293286Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:542eeaf567813f9794e487fd3b3d3b675fe8af53837eb1fe9bf102626713e6d1","observation_id":"8a58103d-7cc1-4dc1-ac15-83c1c38d94b2","resolution":{"observed_at":"2026-08-06T21:35:08.795180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.776141Z","title":"In: WACV","venue":null,"work_id":"6e751ed8-8b97-43e7-9ab8-73a55d38de34","year":2024},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.297366Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:792976e50812da10ca0ed229f542363a98c66ba8e79f8216fc144dad14505e9f","observation_id":"2124c0ba-eeb0-4655-8d43-a12c30f3456c","resolution":{"observed_at":"2026-08-06T21:35:08.780568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.301382Z","title":"IEEE transactions on medical imaging 34(10), 1993–2024 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.301382Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:fe13be98060b54e8d5959e21ae0e5ec3fedf8c483ea36d9e0a88e028abe3413d","observation_id":"3936cda7-b6f3-4a6c-a743-f72efe56910f","resolution":{"observed_at":"2026-08-06T21:35:08.301382Z","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":"2026-08-06T21:35:08.752484Z","title":"In: fourth international Conf","venue":null,"work_id":"ac9acd15-3e1b-45f9-90aa-5e3fd30fb950","year":2016},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.305573Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:c570d3a9632df3ca834975d893b4bcca75a65363a9750d53affce4dca2463176","observation_id":"53aeb8e2-b7b6-4d89-a818-ec0de11179db","resolution":{"observed_at":"2026-08-06T21:35:08.756659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.737593Z","title":"In: ICML","venue":null,"work_id":"eaeaccc8-0748-4a29-a0c3-a0104afb9539","year":2021},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.309703Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:6b6c728562a07593d0bef9a2da28d9f20f22b0b9bef3ef51d6810deb1ae4cb18","observation_id":"07d97ca3-878b-4d2a-b9d7-3069c4c9ba9d","resolution":{"observed_at":"2026-08-06T21:35:08.742126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.721968Z","title":"In: CVPR","venue":null,"work_id":"82164821-6596-44a4-ae65-6fed68a86c87","year":2017},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.313794Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:80585fa2ef6b2c6028c96e0f9068e87fa723b8d89055fcd1637ad326b5d9778e","observation_id":"d9060ac3-65f7-453c-90c2-413a31c65b99","resolution":{"observed_at":"2026-08-06T21:35:08.726295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.707844Z","title":"In: CVPR","venue":null,"work_id":"ad30c0f9-ffda-49ed-bc31-ef7e8f31b5ff","year":2022},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.317598Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:5026180bb2324ee332d90964828f46d002611d5c464b6512c89060b9897977fb","observation_id":"0f4d2c33-058e-48b2-896e-ebc71f041c77","resolution":{"observed_at":"2026-08-06T21:35:08.712067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.693003Z","title":"In: CVPR","venue":null,"work_id":"d3ec6966-51bc-47b2-8456-efa0487010f1","year":2021},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.321520Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:035dc614e2c5aaf36c400984670dd2f80eadc5680addc659f1b748d63fc0bcff","observation_id":"3c4b3d57-f2ab-4944-bb28-ee1c9581d234","resolution":{"observed_at":"2026-08-06T21:35:08.697923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.679483Z","title":"In: ICCV","venue":null,"work_id":"6d3bec42-76f4-4109-844b-adf4781ed90f","year":2021},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.325314Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:63f7c499fe5babbf7d4599d066c2b2af431e47474a1ab6737a2091c3225c5e94","observation_id":"f3936d13-72fa-4444-9d99-00099c4f801e","resolution":{"observed_at":"2026-08-06T21:35:08.683498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.665576Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence 46(3), 1819–1835 (2021)","venue":null,"work_id":"ca40d139-48ef-4726-92a6-6844a092398f","year":2021},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.329183Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:58b3a9ab3eb2cf911387561e67da9c9c27238d07baf5b41ac8f8edf91d8957b8","observation_id":"2d4e579d-8178-437d-8470-b91e952d4e09","resolution":{"observed_at":"2026-08-06T21:35:08.669624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.333255Z","title":"NIH Clinical Center: Bethesda, MD, USA (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.333255Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:6ab6d8b044b512144c8022abc3629eaa8b0ee1d27b4053f82fcbb65d6989ff77","observation_id":"6c2345e7-98d1-4294-ab9a-0d4d21aef386","resolution":{"observed_at":"2026-08-06T21:35:08.333255Z","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":"2026-08-06T21:35:08.642408Z","title":"In: CVPR","venue":null,"work_id":"f6b2f5d5-91ed-4ade-973d-cb4b4173434f","year":2017},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.337038Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:70e92c36b9d490020260b7df197f4565bc9dfcccde6463b922fd8b660afcbc07","observation_id":"a3cbec7f-2005-46eb-9a8f-bd9151537a24","resolution":{"observed_at":"2026-08-06T21:35:08.646581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.10163","last_updated":"2022-10-18T21:06:29Z","snapshot_observed_at":"2026-08-13T14:02:28.884913Z","submitted_at":"2022-10-18T21:06:29Z","title":"MedCLIP: Contrastive Learning from Unpaired Medical Images and Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.10163","snapshot_observed_at":"2026-08-06T21:35:08.341032Z","title":"arXiv:2210.10163 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.341032Z"},"links":{"cited_paper":"/paper/2210.10163","citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:f6ee74cf2bc429ef22c15a289396e00bd6cf78c3325788133377e018a1dc20b8","observation_id":"61c18227-7c29-413d-95aa-a7da75ea3e51","resolution":{"observed_at":"2026-08-06T21:35:08.341032Z","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":"2026-08-06T21:35:08.628028Z","title":"In: CVPR","venue":null,"work_id":"c5f04024-1d1f-4322-bbd1-1319c8a6805e","year":2023},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.345613Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:64d8fcd7550a1019f87f6d4e270264d62dfd0627baf95a71ea2a91941a0e4930","observation_id":"358e6b3f-54f8-4921-8339-448f449ab678","resolution":{"observed_at":"2026-08-06T21:35:08.632633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.349581Z","title":"In: ICCV","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.349581Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:8b4f550481bb9df68a73c5fb1584e94b92d771c27eb0985b3dc342808c7f1d25","observation_id":"2afbc867-92a3-4556-b7ce-1460ba1de249","resolution":{"observed_at":"2026-08-06T21:35:08.349581Z","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":"2026-08-06T21:35:08.600082Z","title":"IEEE transactions on medical imaging 40(3), 879–890 (2020)","venue":null,"work_id":"f42d6f03-de75-4ae2-bcd5-d169ea3b89be","year":2020},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.353744Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:339828d6722a8f08477360a3aacf951dcd8ff14e9cf1887f55f4096b9dec15b3","observation_id":"f23db6e5-f4ac-4477-9aa9-b0a7a086b505","resolution":{"observed_at":"2026-08-06T21:35:08.605198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.585460Z","title":"In: MICCAI","venue":null,"work_id":"ccd81000-aeb2-48c6-abe6-b6648b27dca4","year":2024},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.358434Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:5973a87ac630ec05248533fd8845780c9f178837ff2b2cce8d64a32cda77d97f","observation_id":"7938b5a6-4d99-4454-a717-e1ae20894e2c","resolution":{"observed_at":"2026-08-06T21:35:08.590319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.570335Z","title":"International Journal of Comp","venue":null,"work_id":"dcfddc2f-42a6-499c-807b-6be8b74b87ac","year":2022},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.362873Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:0becd3e98a57eb06c76b0efeb0a4f6f784d01cf1d2855a7f867ceae3588cab0c","observation_id":"3bb27568-9bfd-4811-afc8-58c6dbac643d","resolution":{"observed_at":"2026-08-06T21:35:08.575503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T21:35:08.367069Z","title":"arXiv:2310.18961 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:35:08.367069Z"},"links":{"citing_paper":"/paper/2506.23810"},"observation_digest":"sha256:4293707206b06cecdcdc9c84650a82a10b9114ccbdb31eb102936c5e97a5ae2f","observation_id":"6b2c2cb3-2d32-42ca-9be0-f621ddcde6c7","resolution":{"observed_at":"2026-08-06T21:35:08.367069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.23810","last_updated":"2025-06-30T12:56:17Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T21:12:39.014748Z","submitted_at":"2025-06-30T12:56:17Z","title":"MadCLIP: Few-shot Medical Anomaly Detection with CLIP"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":28},"total_outbound_references":37},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2506.23810."}