{"as_of":"2026-08-09T01:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7f618181aba55dfb6833010fdcc135a4d1880f9abe35a1baaa0bb48d63d0d906","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:39:46.252583Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.18013/citation-record","integrity":"/paper/2508.18013/integrity","json":"/paper/2508.18013/citation-record.json","paper":"/paper/2508.18013"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:39:46.946276Z","title":"Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection","venue":null,"work_id":"2a5ed236-9657-484a-8e90-66711a9bda83","year":2019},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.025870Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:c5ac4c91072f9a51e7ba0c44a06527bcedfc5df6eb20078f037e72c531107a2a","observation_id":"79919488-fc80-404f-9fdd-db0559abab98","resolution":{"observed_at":"2026-08-05T16:39:46.953311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.925284Z","title":null,"venue":null,"work_id":"47de2e76-7081-4ced-bfe8-9050aa9ef31d","year":2020},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.032948Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:9fa7892579548b798db1572a3edb8b6e832febec067b2b50f35ac9164d988e0e","observation_id":"fee5074c-0fee-47d4-9805-5f9f448b08a5","resolution":{"observed_at":"2026-08-05T16:39:46.931362Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11876","last_updated":"2024-04-28T02:07:37Z","snapshot_observed_at":"2026-08-03T09:17:17.953967Z","submitted_at":"2023-06-20T20:23:46Z","title":"BMAD: Benchmarks for Medical Anomaly Detection","version":3},"cited_work":{"arxiv_id":"2306.11876","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.11876","snapshot_observed_at":"2026-08-05T16:39:46.402827Z","title":"BMAD: Benchmarks for Medical Anomaly Detection","venue":"eess.IV","work_id":"d8f6ba72-7cbd-4d0d-9b93-3fb99958f90e","year":2023},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.047998Z"},"links":{"cited_paper":"/paper/2306.11876","citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:d4e116dc3e7a24ee43d8503a2951fd4da82e00427fcaf41514ca2ee8b38d1198","observation_id":"2ffc304f-7dd4-4dfd-bb52-174d65b449d0","resolution":{"observed_at":"2026-08-05T16:39:46.413583Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.900046Z","title":"Towards total recall in industrial anomaly detection","venue":null,"work_id":"c75bca5a-60f5-49ab-904d-3218138a5b2d","year":2022},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.069685Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:d09562a378c6baf00ece6624a3d3afac3d0c3925cdd31f2d49a0e7373d3c5164","observation_id":"bb959c59-7b4c-4ab4-9d0e-2f91b80d533b","resolution":{"observed_at":"2026-08-05T16:39:46.905634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.876743Z","title":"Unveiling the anomalies in an ever-changing world: A benchmark for pixel-level anomaly detection in continual learning","venue":null,"work_id":"922aa0ad-72df-4c0f-8cb2-f2d03b057239","year":2024},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.083235Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:5154f18b490e165f85d8b4bcb8555f8b22e563079d9b6cfa5641719d226d9152","observation_id":"2dfe7e2b-d4f1-4523-adea-c310eb104515","resolution":{"observed_at":"2026-08-05T16:39:46.885323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.849365Z","title":"Moviad: A modular library for visual anomaly detection, 2025","venue":null,"work_id":"cf0bf7e6-44cf-4c05-96e2-e2c9ed8396b2","year":2025},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.105159Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:ac5a5c373f4cf397487380598a737667c9654d2c7e560d5432bb982940401a4a","observation_id":"69187bd8-deae-4577-8cef-75377b75cb5e","resolution":{"observed_at":"2026-08-05T16:39:46.860277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.820503Z","title":"Draem -- a discriminatively trained reconstruction embedding for surface anomaly detection, 2021","venue":null,"work_id":"759320a1-1ca8-4a23-8a67-8fc56f1c8fce","year":2021},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.112231Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:f9ba64fdb37d4438d46684a8a9a9bb54799a6cc5c9c2cceaae73669cfb48c5f5","observation_id":"d98868ea-e539-4fee-aaf1-6a3ade78899c","resolution":{"observed_at":"2026-08-05T16:39:46.827911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.798255Z","title":"Reconstruction by inpainting for visual anomaly detection","venue":null,"work_id":"53971851-5604-4b90-afa4-c8987a64fcae","year":2021},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.118166Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:70a4ce5b34515e23820453c2be1337da842c1059a4e6894fe7ec84171489eed3","observation_id":"df89a081-df5a-435d-ad45-045c35079125","resolution":{"observed_at":"2026-08-05T16:39:46.806360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.772019Z","title":"Paste: Improving the efficiency of visual anomaly detection at the edge","venue":null,"work_id":"eff654d2-f16f-4ccd-b07f-c1f33e4a4e4e","year":2025},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.124521Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:ec09dc36dbe306434085a6f7f83efd3ea455d4bfb07849bddf7b433642a6118a","observation_id":"661c8bee-cc5e-4290-ba33-cab4a68b11f4","resolution":{"observed_at":"2026-08-05T16:39:46.780261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.749230Z","title":"Memory efficient continual learning for edge-based visual anomaly detection, 2025","venue":null,"work_id":"4f81650c-a478-46ce-962f-7c984beadd42","year":2025},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.132665Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:294e95f39025375fb98f20233436d7c7cf8d533f9e270cfedff471246c722cd2","observation_id":"87dc01b6-3e7a-4dfd-ba5d-a5e5287445e1","resolution":{"observed_at":"2026-08-05T16:39:46.756528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.726566Z","title":"Experience replay for continual learning","venue":null,"work_id":"89395353-9ade-4739-8c32-f6c43634c90e","year":2019},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.137901Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:07f159194e8b1e8635807143d5db352947fb65a0aae114db286517312858d652","observation_id":"3dac69da-0f5d-4b56-bb34-66ce18505260","resolution":{"observed_at":"2026-08-05T16:39:46.733238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.709213Z","title":"Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell","venue":null,"work_id":"81bd12ca-8276-48f5-a4e5-fd901ac47f05","year":2017},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.144999Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:d1344c33532b9def60bb2d3c56309a2b158ed1f1769eec99ae6053684bff6cd7","observation_id":"9f30cb42-f27d-4696-bb93-52a86802dba9","resolution":{"observed_at":"2026-08-05T16:39:46.714400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.690245Z","title":"Learning without forgetting, 2017","venue":null,"work_id":"264824a9-a7cc-4702-853b-838eba410ebf","year":2017},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.164511Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:a86c35f5c1e61ce5c76710a1d5a57ebd5f9a7e54635ecdd3fce4c874321fc457","observation_id":"e79dc011-fe60-4dcd-a14f-9e2af661805d","resolution":{"observed_at":"2026-08-05T16:39:46.695252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.669818Z","title":"Rusu, Alexander Pritzel, and Daan Wierstra","venue":null,"work_id":"6c5bc95a-8138-4c12-bd0f-f54d7be7e098","year":2017},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.171948Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:0ea9b70831dd66c656c6a7589d79e7012a55f849546eab1333dc8d375a17c6f4","observation_id":"55e5fb99-4ec8-46a3-8904-04cf6523bbc2","resolution":{"observed_at":"2026-08-05T16:39:46.675713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.638913Z","title":"Packnet: Adding multiple tasks to a single network by iterative pruning, 2018","venue":null,"work_id":"a09555c4-aed9-40d9-812b-6be0b866c540","year":2018},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.179853Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:7ebcd8039a4bbd4bd1ac24a452dd89ade7f06c50b025ccddb68aa636a2afe86c","observation_id":"7e2e96ff-8fd1-40b2-afa8-b8437d7c62e3","resolution":{"observed_at":"2026-08-05T16:39:46.648965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.609686Z","title":"Latent replay for real-time continual learning, 2020","venue":null,"work_id":"3a97e5ea-ae69-4df0-9213-c101e6f97618","year":2020},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.187190Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:af6f478e95a9b2ebdc81cd3151eb4bb7d745fc89405211f430bd0bab7ce1cb33","observation_id":"ef95b3c6-c107-4381-a525-aa1f4cf310d5","resolution":{"observed_at":"2026-08-05T16:39:46.614453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.575950Z","title":"Learn to detect objects incrementally","venue":null,"work_id":"cd06c0de-8b3d-487c-87ba-62ec98c1103a","year":2018},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.198178Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:656be16524693470d51900a9fba4e7a81d9d0d610aa3c571966cf9c98d5955cd","observation_id":"2d3c00cc-1bac-4ddc-a8ab-052367cbae23","resolution":{"observed_at":"2026-08-05T16:39:46.583810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.546218Z","title":"Towards continual adaptation in industrial anomaly detection","venue":null,"work_id":"a1abffb2-79b7-43d0-badb-3591c752f44b","year":2022},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.204422Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:cabeec8d5dc561d2bfbe634e0c0a3c6e6ee0e2cdd923ff0d0e9427821aada58c","observation_id":"575062d8-7f6b-40ca-9ca6-2877e208cdf2","resolution":{"observed_at":"2026-08-05T16:39:46.555574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11192","last_updated":"2024-09-05T18:17:51Z","snapshot_observed_at":"2026-07-06T14:33:35.900186Z","submitted_at":"2022-12-21T17:08:58Z","title":"Continual Learning Approaches for Anomaly Detection","version":2},"cited_work":{"arxiv_id":"2212.11192","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.11192","snapshot_observed_at":"2026-08-05T16:39:46.360326Z","title":"Continual Learning Approaches for Anomaly Detection","venue":"cs.CV","work_id":"8f28ef13-054e-41ac-b8f1-255684c200ea","year":2022},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.210457Z"},"links":{"cited_paper":"/paper/2212.11192","citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:26695930644825d4c02be48b3557e091c82672a3269e46ba25f1bdddd1235202","observation_id":"e8335c78-6263-4ca8-883c-ddb2948addf4","resolution":{"observed_at":"2026-08-05T16:39:46.373398Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.04257","last_updated":"2021-10-28T09:17:34Z","snapshot_observed_at":"2026-08-06T23:00:30.967037Z","submitted_at":"2021-03-07T04:25:04Z","title":"Student-Teacher Feature Pyramid Matching for Anomaly Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.04257","snapshot_observed_at":"2026-08-05T16:39:46.216657Z","title":"Student-teacher feature pyramid matching for anomaly detection","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.216657Z"},"links":{"cited_paper":"/paper/2103.04257","citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:9a3efdd665b0c1da4903b85c3bc7e327fc70d78f0fd7b7fe7c149ee894a52129","observation_id":"cc486d5a-01c3-40b6-b10e-13889b09fa7a","resolution":{"observed_at":"2026-08-05T16:39:46.216657Z","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":"2026-08-05T16:39:46.518344Z","title":"Efficientad: Accurate visual anomaly detection at millisecond-level latencies, 2024","venue":null,"work_id":"5c2bd1d9-4258-4a61-8f7c-fad8072f8d65","year":2024},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.232368Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:d8f5bf09f0a563592e6a5a0c550a500bf6518173fa6da09710920c946500c8ec","observation_id":"70f29f72-0959-4998-ad33-7d9467f91786","resolution":{"observed_at":"2026-08-05T16:39:46.525606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.491157Z","title":"Fastflow: Unsupervised anomaly detection and localization via 2d normalizing flows, 2021","venue":null,"work_id":"9f6f7962-0067-4f0b-80b8-b1f0e07610a7","year":2021},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.237915Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:bd9cc872d953a804bb0e196c331ec7504209a0a590df6c8edee5aecf142308ef","observation_id":"b68fa004-2a1f-4d4b-b104-c586976cabe5","resolution":{"observed_at":"2026-08-05T16:39:46.497636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.462171Z","title":"Unsupervised continual anomaly detection with contrastively-learned prompt","venue":null,"work_id":"1e4c33b0-a05d-43b7-9081-933dffd3532b","year":2024},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.244896Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:c94259fb36684633ccbcd4e106013950684e666d5151487cc2ac01794e0ff4e2","observation_id":"3a2e26c2-9a54-419c-934a-d6a892b1e649","resolution":{"observed_at":"2026-08-05T16:39:46.470705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-05T16:39:46.436785Z","title":"Wide residual networks, 2017","venue":null,"work_id":"78a41226-795d-4254-9592-3b6f8de07ede","year":2017},"citing_paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T16:39:46.252583Z"},"links":{"citing_paper":"/paper/2508.18013"},"observation_digest":"sha256:780161924ebf1a5782ffefab40bff6332b026fa4b71e3f8a217823c34faa4407","observation_id":"6b409ee3-f22a-4770-a48e-39b50d65d057","resolution":{"observed_at":"2026-08-05T16:39:46.448015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.18013","last_updated":"2025-08-25T13:28:15Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T14:48:33.635653Z","submitted_at":"2025-08-25T13:28:15Z","title":"Towards Continual Visual Anomaly Detection in the Medical Domain"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":2,"verified_fuzzy":20},"total_outbound_references":24},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2508.18013."}