{"as_of":"2026-08-19T06:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8968107eea847b9985ffb5b219121ee30118597143cfc6265d5be56716c0c0cb","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:51:47.560314Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2506.18544/citation-record","integrity":"/paper/2506.18544/integrity","json":"/paper/2506.18544/citation-record.json","paper":"/paper/2506.18544"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:51:48.609155Z","title":"Unsupervised machine anomaly detection using autoencoder and temporal convolutional net- work,","venue":null,"work_id":"c6775bdd-9d9b-4bd0-8068-2e5048c36661","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.253275Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:fe2ba46beff68ca658634c14d71837ea58fac9e57f083d76f39e38b3ccebcc09","observation_id":"993276c8-8575-44dc-8e3e-47474519ff87","resolution":{"observed_at":"2026-08-15T18:51:48.613822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.593757Z","title":"Vitalnet: Anomaly on industrial textured surfaces with hybrid transformer,","venue":null,"work_id":"17dc1df2-6f93-4814-9ad5-ad4a985b453c","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.258554Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:01eb48a0c12a63a83a49d189c3560aff885b38ca700787f6847e34c18e9f89a1","observation_id":"93205259-9e04-4812-97c2-4d1636296197","resolution":{"observed_at":"2026-08-15T18:51:48.598905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.579316Z","title":"Deep one-class classifi- cation via interpolated gaussian descriptor,","venue":null,"work_id":"560bcfa4-5307-4ff2-b18a-1f53625746bd","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.263089Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:9003c4fdd3975313745f9e16c1e22cd83d2db8984f38559bbc99dabd4ad4dbbb","observation_id":"709befe8-af23-475b-b48a-b85fe00e69db","resolution":{"observed_at":"2026-08-15T18:51:48.583610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.268072Z","title":"Gan-based anomaly detection: A review,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.268072Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:4b2633438d79fb17a9c9d9c0254fcd3bfd07e822e346bb02a50ae23e43653411","observation_id":"7d565d44-d9f0-417d-85d8-fe0cd2dabed6","resolution":{"observed_at":"2026-08-15T18:51:47.268072Z","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":"2026-08-15T18:51:48.552928Z","title":"Cloud-edge coordinated traffic anomaly detection for industrial cyber-physical systems,","venue":null,"work_id":"42cffe17-6fb6-4edb-acd7-eb0b6336ad33","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.272658Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:c6830a5a8d5ac3520c3e9925dbb8239acb90184b6f4220145e7a2240f5775c67","observation_id":"e2e8be2f-8113-4912-8e76-be2a3dd9d3ce","resolution":{"observed_at":"2026-08-15T18:51:48.558990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.537382Z","title":"Itran: A novel transformer-based approach for industrial anomaly detection and local- ization,","venue":null,"work_id":"ff2277bd-c6b3-4355-a7c4-06ef0fb0d73e","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.277080Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:076a87ccc9c354da4284097b1765b44db764e0329230e7b3847cd46f2ffca0f6","observation_id":"62ad7b54-1aa5-4c04-95e8-e28807a28268","resolution":{"observed_at":"2026-08-15T18:51:48.543388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.523111Z","title":"Crowded scene analysis: A survey,","venue":null,"work_id":"bbf34fbf-4a81-460e-8ba5-6d3f776e0d54","year":2014},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.282622Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:e2027a38e06209e57ae331014d7f7ce29d813dbbbb6d53c2023a05d72cdb39e2","observation_id":"d7923fcf-cb8f-4b0a-8002-d5890fe67391","resolution":{"observed_at":"2026-08-15T18:51:48.527846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.507645Z","title":"Feature retention guidance-based asymmet- ric distillation network for industrial precision surface defect detection,","venue":null,"work_id":"6af4488a-9c79-49d2-8a40-aa0d8fc0e809","year":2025},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.287172Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:37a7bc50e9d13c716d5a2049dfdef5d18d670d203c94aa4d6b698df7a30b8645","observation_id":"0b38985c-3471-474c-8cb3-4d0eb31dffbf","resolution":{"observed_at":"2026-08-15T18:51:48.512902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.492790Z","title":"Towards total recall in industrial anomaly detection,","venue":null,"work_id":"91c445be-2682-4bad-9711-7f92ff7399a7","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.291664Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:05e3fc716176b86f42a617d876f17ef097859f66d5e045d001899e620fbe17c5","observation_id":"f76d54ce-c5dc-4cba-bb95-0ff9c3af4617","resolution":{"observed_at":"2026-08-15T18:51:48.497570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.477843Z","title":"Anomaly-gan: A data augmentation method for train surface anomaly detection,","venue":null,"work_id":"a755bce2-f717-43a8-b2cb-f1b04eb456fd","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.296286Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:8059cec60fb3e9619525930d5ec05e6150be16935d877a702c20abf0f795cb6b","observation_id":"be7a4e6f-0a25-4440-baad-daa85ff96930","resolution":{"observed_at":"2026-08-15T18:51:48.482851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.462047Z","title":"Discriminative feature learning framework with gradient preference for anomaly detection,","venue":null,"work_id":"15412eea-69f2-4503-ad7b-b5f56a16e218","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.300900Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:c0b69cde1aeee4b1c72504de38c7d336682e9e5b388d144522fb817d47a370ab","observation_id":"ca3d2615-6f40-415c-a696-66e01f37a781","resolution":{"observed_at":"2026-08-15T18:51:48.467213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.446634Z","title":"Be- yond dents and scratches: Logical constraints in unsupervised anomaly detection and localization,","venue":null,"work_id":"885f157d-06b4-433d-98b7-a1b8b3076df4","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.305602Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:2855247115134418003236be0a68b2e6d8153fab8aa0843c596510e1e334c254","observation_id":"ea39373c-6552-45b1-823c-e87c645afa57","resolution":{"observed_at":"2026-08-15T18:51:48.452115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.430505Z","title":"Panda: Adapting pretrained features for anomaly detection and segmentation,","venue":null,"work_id":"a5e54271-6c74-45b0-a6a9-3215b8c77eed","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.309933Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:60e4a95eb6c8e86200d63d93c713f8b17252075065633595140d3a2f054e06bc","observation_id":"7d4bb54f-a615-4e12-abdd-770ccb7ce606","resolution":{"observed_at":"2026-08-15T18:51:48.435510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.414215Z","title":"Learning memory-guided normality for anomaly detection,","venue":null,"work_id":"3f0d97c6-60ac-47c8-9b5b-92fe57284166","year":2020},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.314395Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:a01000c5172ebcb58a708008f56af04020ef7125fd3237bcc2503bb59e9c0b06","observation_id":"19e4cb51-37ff-43c3-beb8-e1299986f676","resolution":{"observed_at":"2026-08-15T18:51:48.419195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.397629Z","title":"Visual anomaly detection via partition memory bank module and error estimation,","venue":null,"work_id":"ff9d606a-19e4-40cc-bd33-0bfd1a63446b","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.319245Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:f2295523bd805ef8176cc223f557ab8af59ec8a0b5dd504627579f575b47c300","observation_id":"fed85d98-4544-4d12-8325-79402867d285","resolution":{"observed_at":"2026-08-15T18:51:48.403291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.379933Z","title":"Self-attention memory- augmented wavelet-cnn for anomaly detection,","venue":null,"work_id":"2a35faba-489d-451c-a7eb-a205b970040b","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.323845Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:2689b84f5b8a8728d726fe637d5a1bb775ea810038ed990d574d192cf06fd44f","observation_id":"afcb8fe6-1dad-4a08-98d6-0e9cac19959d","resolution":{"observed_at":"2026-08-15T18:51:48.385382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.363752Z","title":"Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection,","venue":null,"work_id":"4b4b18f3-16ef-4245-8e44-d6b6b1c5a0c5","year":2019},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.328222Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:a9760014541ff57d92edeafe176d6767c815b9975ff8e115fa4bafa6d3ff28b5","observation_id":"ca1f1e2c-7a59-4c0a-9e7c-96ea6ce1ea94","resolution":{"observed_at":"2026-08-15T18:51:48.368929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.347362Z","title":"Anomaly detection via reverse distillation from one-class embedding,","venue":null,"work_id":"5cbe1a97-d21d-4ee0-9a13-264c1a4b1123","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.332544Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:92a006c43c4af5f832d795835a3aa47b676d7baf7621547d273e22efbb38f5bf","observation_id":"dd41bf2b-3497-4117-99e4-c4a9c576566a","resolution":{"observed_at":"2026-08-15T18:51:48.352728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.332069Z","title":"Generative neural networks for anomaly detection in crowded scenes,","venue":null,"work_id":"c9c77d04-a17a-4ec1-8cc5-5d20ad33aac1","year":2018},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.336967Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:51419ed7266918bfeab6931b06f66d470684397d3a7a97df996b6722a916d293","observation_id":"946b4dbe-1c5c-4465-a488-af4da2b7975f","resolution":{"observed_at":"2026-08-15T18:51:48.336675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.316176Z","title":"Template-guided hierarchical feature restoration for anomaly detection,","venue":null,"work_id":"6530b293-bab9-4736-b255-4596f54842ee","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.341182Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:5df17319713396a8992bdbb32c9cce3ba4d3b7e7ee3cfa36fe27dafb91267adc","observation_id":"4fceba68-65ec-455c-8390-57ec7e92d06b","resolution":{"observed_at":"2026-08-15T18:51:48.321329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.345733Z","title":"Pointwise motion image (pmi): A novel motion representation and its applications to abnormality detection and behavior recognition,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.345733Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:f82e279d096c42b04bf6267287b9690daddc9082463c121cf74414501702c44b","observation_id":"9b670622-d0b3-4310-9f62-b490a218e923","resolution":{"observed_at":"2026-08-15T18:51:47.345733Z","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":"2026-08-15T18:51:48.291555Z","title":"Memorizing structure-texture correspondence for image anomaly detection,","venue":null,"work_id":"7ea33567-ceb2-4d6c-adb5-9604fca0e2c2","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.350412Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:a2f48387fdaca2b47052fe1e5040d340f68ea2926c5de1c8019aa61cfff1736d","observation_id":"e3225952-32a5-410a-a159-d8d3539986a4","resolution":{"observed_at":"2026-08-15T18:51:48.295900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.277230Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":"7ddb060a-47e8-4365-bb71-92391a23fb76","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.354674Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:409e5f696f9dd305b19fe8b94a4c2d2c04393edb615767ab9da19a8cedd657aa","observation_id":"0e69ebd2-ecb6-4e99-a1e9-2d2404f27712","resolution":{"observed_at":"2026-08-15T18:51:48.281892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.02357","last_updated":"2021-02-03T16:28:51Z","snapshot_observed_at":"2026-08-19T00:10:40.773820Z","submitted_at":"2020-05-05T17:43:35Z","title":"Sub-Image Anomaly Detection with Deep Pyramid Correspondences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.02357","snapshot_observed_at":"2026-08-15T18:51:47.358907Z","title":"Sub-image anomaly detection with deep pyramid correspondences,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.358907Z"},"links":{"cited_paper":"/paper/2005.02357","citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:75ebe624789ffaa92acb47a1de2a77773cb4bbd215eb3b935192353b34797dca","observation_id":"ffb2da41-35a0-4a7b-9d8c-8173fd00dac8","resolution":{"observed_at":"2026-08-15T18:51:47.358907Z","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":"2026-08-15T18:51:48.262255Z","title":"Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings,","venue":null,"work_id":"0845ee87-3706-44c8-af1e-e9a66942b5e1","year":2020},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.363432Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:457366a53d49f93d263b790fc2e3d4f581b11d2b9a29411fd89c54edc846ad2a","observation_id":"dbd015a5-4aab-42ba-b1e4-4aa13f7e69d5","resolution":{"observed_at":"2026-08-15T18:51:48.267062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.04257","last_updated":"2021-10-28T09:17:34Z","snapshot_observed_at":"2026-08-16T18:40:43.998497Z","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":"2026-08-15T18:51:47.367488Z","title":"Student-teacher feature pyramid matching for unsupervised anomaly detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.367488Z"},"links":{"cited_paper":"/paper/2103.04257","citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:2125b66226eb8f4e17b42ba6d1eefc6b98e99c3ebaf1eb3fcbd58f57320ebf3c","observation_id":"34d3be81-5ff2-42b1-a015-6db754ebf3e5","resolution":{"observed_at":"2026-08-15T18:51:47.367488Z","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":"2026-08-15T18:51:48.247229Z","title":"Multiresolution knowledge distillation for anomaly detection,","venue":null,"work_id":"19f37531-cf75-4ced-94ad-94189308bd98","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.372154Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:5df24e7686dadd8ac37e8503e8835c4254d9d8ef2a5224e00d37208dae20dd16","observation_id":"4b724662-a627-48c2-bcfd-9b391f1840f9","resolution":{"observed_at":"2026-08-15T18:51:48.251970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.230883Z","title":"Ganomaly: Semi- supervised anomaly detection via adversarial training,","venue":null,"work_id":"8b8b613e-132b-494c-b10f-09ae9aab54ef","year":2019},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.376738Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:a8b2166f1c551aaecc4ecf93c1c3d9a7f9e3b041af5879e2c14696133cafab7c","observation_id":"b6c9f63f-5216-4985-b309-31248c4b1b87","resolution":{"observed_at":"2026-08-15T18:51:48.236466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.215062Z","title":"Towards visually explaining variational autoencoders,","venue":null,"work_id":"356b48ba-f70c-4896-baa6-7c8b09a19294","year":2020},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.380949Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:d4ccc4ac30f9d42335aaee9616bb6eb79d814bffc8e13dfd918c804883f5ffb6","observation_id":"f8b30f42-6084-43d9-a7a7-b285d25abaf4","resolution":{"observed_at":"2026-08-15T18:51:48.219823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.199237Z","title":"Adversarial 3d convolutional auto- encoder for abnormal event detection in videos,","venue":null,"work_id":"35a23ce5-c329-4262-93cd-9d0a0b97a3be","year":2020},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.385458Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:9a895e8ecb285cfddbb552078940501803a926e9ec9a6b6e2b6f0fa2e1bc141d","observation_id":"01fe45ba-9677-4337-a924-733b99486498","resolution":{"observed_at":"2026-08-15T18:51:48.204123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.183405Z","title":"Pull & push: Leveraging differential knowledge distillation for efficient unsupervised anomaly detection and localization,","venue":null,"work_id":"a18fea92-fcea-415b-b022-e42a4089cdff","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.389936Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:886383b4597fe06a34e28ba4eb2ad21db49a631d19c21a26363c01d2945db55f","observation_id":"04f65337-ad33-4903-bc2f-a8f1bd0396cf","resolution":{"observed_at":"2026-08-15T18:51:48.188294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.168463Z","title":"Logicad: Explainable anomaly detection via vlm-based text feature extraction,","venue":null,"work_id":"c1ffcf44-3589-47a2-9c79-54c4d463c84a","year":2025},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.394956Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:ce72b0275332068469e7b1ac2516e78949cda8700501b664a0d7f673f553a431","observation_id":"95594ba9-da84-4e50-b965-7d42af5d3342","resolution":{"observed_at":"2026-08-15T18:51:48.173480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.153501Z","title":"Neural discrete representation learning,","venue":null,"work_id":"29c7644a-0fe1-44ea-a5f0-5e33b96c0c4c","year":2017},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.399532Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:635e64412ddee32d9dba8ddac04fcc6d03592a01452ee781e539dfa23c4c0804","observation_id":"73402fe6-14bd-4e7a-b2c5-1daf9066315d","resolution":{"observed_at":"2026-08-15T18:51:48.158328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.403902Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.403902Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:24eefe3e8f8bde1a5f1dbb182bec35312bfb1d472d1c49f805ee2c92fe67b174","observation_id":"a35dbdc9-8571-4c9b-9878-ad52a4b487e1","resolution":{"observed_at":"2026-08-15T18:51:47.403902Z","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":"2026-08-15T18:51:48.128374Z","title":"Generating diverse structure for image inpainting with hierarchical vq-vae,","venue":null,"work_id":"a2a076f9-10a5-427b-a628-d69db4bb004a","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.408271Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:d20e332ae678750e8bcb3ef6bcc6338ef245202edf8e0a37fd7c75f924d0cc59","observation_id":"ebe411db-eada-4479-aca0-a5b3117845f8","resolution":{"observed_at":"2026-08-15T18:51:48.133262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.113079Z","title":"Low bit-rate speech coding with vq-vae and a wavenet decoder,","venue":null,"work_id":"96e04e2b-ec84-41ce-9027-b8e85ca9c507","year":2019},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.412826Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:6f2050a9fe1e5f5108c323d7347c172b792cca7b666158e26c1d02e783951e91","observation_id":"b8fccbca-7a9b-44ce-8ec1-eb0983c82c2b","resolution":{"observed_at":"2026-08-15T18:51:48.118179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.098229Z","title":"Msmc- tts: Multi-stage multi-codebook vq-vae based neural tts,","venue":null,"work_id":"1b6f1094-b118-4489-9aec-52292b1f2b07","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.417292Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:04a53ce3d2f401e59e0db5b99e6e17e638b5240865c49f6d2e9ca90ccf32c090","observation_id":"56d50039-317c-47a3-8da3-462a1ff96f50","resolution":{"observed_at":"2026-08-15T18:51:48.102939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.083933Z","title":"Unsupervised brain imaging 3d anomaly detection and segmentation with transformers,","venue":null,"work_id":"e5b3839a-78b0-4327-b75e-144c236a9ce5","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.421895Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:40ba1c5fe19f482157e74aa767f83ea640be640b029f43de35733389f719eade","observation_id":"0333b6d4-1787-470e-8236-3fe144a3fe7d","resolution":{"observed_at":"2026-08-15T18:51:48.088592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.069257Z","title":"Fast unsupervised brain anomaly detection and segmentation with diffusion models,","venue":null,"work_id":"8b2d13d1-5c14-48ed-82c4-f2f7138c690b","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.426668Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:f429f63eaabbcce51f48cd9135050a37e9685bf51115318163ab008a86c91bd4","observation_id":"12f8ed77-b3ca-4f73-9388-4e4ddb6ac8a9","resolution":{"observed_at":"2026-08-15T18:51:48.073979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.054659Z","title":"Intrusion detection for high-speed railways based on unsupervised anomaly detection models,","venue":null,"work_id":"705348a6-e049-4bd3-9220-e44797396fb0","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.431236Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:f65a336590db394f1b1553fc54b8a477d00fb6cf8d808ada6c4522908cfa29ba","observation_id":"9302b489-0ebb-4109-870a-8011511c6ee3","resolution":{"observed_at":"2026-08-15T18:51:48.059536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.038646Z","title":"Unified vision-language pre-training for image captioning and vqa,","venue":null,"work_id":"b0592793-cc6c-4ce2-bb65-bd2558d692d4","year":2020},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.435719Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:e9e75dd350fd81fdd691c80f08c605b21789588920434ae26ed9e3c36318c1ce","observation_id":"34e7ea79-50af-4385-b144-3e3d40440453","resolution":{"observed_at":"2026-08-15T18:51:48.043953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.022523Z","title":"Label2label: A language modeling framework for multi-attribute learning,","venue":null,"work_id":"4345c42a-d2c4-47fd-a7ba-5611da7a400c","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.440162Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:5b37eb049dfe57b24c231c9cffa901c2287cb142d30d459de5693fbeb8f0613b","observation_id":"5dafee77-e848-452c-b863-bf110baf4198","resolution":{"observed_at":"2026-08-15T18:51:48.027461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:48.006975Z","title":"Clip4caption: Clip for video caption,","venue":null,"work_id":"a03acfae-2ccc-46eb-8195-a0bcf0c85b3c","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.444789Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:db713274627b6c8f40b292665c7b9a27fcf14e179b97dc587177226eb3aa0c7a","observation_id":"b0312471-c967-4366-bd0b-3a2d2f390244","resolution":{"observed_at":"2026-08-15T18:51:48.011655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.991446Z","title":"Multimodal local-global attention network for affective video content analysis,","venue":null,"work_id":"42124f47-3b21-4fc6-9588-f6f4ab3110b2","year":1901},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.449785Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:6ed89475240aa100a946c7cef866901a912a51e4314cc06eed3e695e3e6f1e8b","observation_id":"b662630e-dac5-43ea-b745-dc18fbd9b836","resolution":{"observed_at":"2026-08-15T18:51:47.996516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.976633Z","title":"Virtex: Learning visual representations from textual annotations,","venue":null,"work_id":"f37fa6b8-24af-40e8-b117-519ec3062cc3","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.454129Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:dffe3876eb518fcb9d727dbd8a711ea97887a2969e17353d690af61204955b0e","observation_id":"76678a1b-9680-4720-a834-c094ad6d5339","resolution":{"observed_at":"2026-08-15T18:51:47.981318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.962279Z","title":"A simple baseline for open-vocabulary semantic segmentation with pre- trained vision-language model,","venue":null,"work_id":"109abc5b-ef0e-4da7-a3f0-3c1dd85306e0","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.458944Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:48cf29d7cb3ee4760cc675374c6eeef540aefd3960e3122660c40620fe223b7a","observation_id":"3f4771d4-23ae-4001-a176-79dc9d8de0ce","resolution":{"observed_at":"2026-08-15T18:51:47.966780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.463632Z","title":"X-clip: End- to-end multi-grained contrastive learning for video-text retrieval,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.463632Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:600f2beb5d138660c7830d76f6fdb0a05f6b3db8880201bf6afd6b8783c3d35f","observation_id":"5d980f3e-72a3-4898-bce1-77e329b574b5","resolution":{"observed_at":"2026-08-15T18:51:47.463632Z","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":"2026-08-15T18:51:47.936006Z","title":"Hit: Hier- archical transformer with momentum contrast for video-text retrieval,","venue":null,"work_id":"b235b1d3-3dfc-43b6-a779-dbd588147544","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.467996Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:ed9fa93750085d236fa7a379b29544e7d7122dbf22712f979c3a4a680ec8fa1d","observation_id":"8663e807-6e25-47e7-8c80-8a834c6c3dfd","resolution":{"observed_at":"2026-08-15T18:51:47.941281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.00386","last_updated":"2022-03-01T12:11:32Z","snapshot_observed_at":"2026-08-16T17:17:50.020394Z","submitted_at":"2022-03-01T12:11:32Z","title":"CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.00386","snapshot_observed_at":"2026-08-15T18:51:47.472317Z","title":"Clip-gen: Language- free training of a text-to-image generator with clip,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.472317Z"},"links":{"cited_paper":"/paper/2203.00386","citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:d8e5d2e5f5333058314f369a03a667d9222c2ab1d4e47fcf676346d28ad85787","observation_id":"3bba8fd5-c2a1-4655-a9c9-e30ce919f66d","resolution":{"observed_at":"2026-08-15T18:51:47.472317Z","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":"2026-08-15T18:51:47.919852Z","title":"Long movie clip classification with state-space video models,","venue":null,"work_id":"82c7203d-a359-4d71-b7a2-29dbd6286014","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.476902Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:c3fd09b66b4b848fceb72d15bad0c044f315eaa428733821b63072d2ac821803","observation_id":"f3c41eee-88d7-4d20-aeaa-a81b36e2e056","resolution":{"observed_at":"2026-08-15T18:51:47.924586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.905025Z","title":"Cris: Clip- driven referring image segmentation,","venue":null,"work_id":"b1298669-30ac-4c02-ba64-1ee9659da610","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.481902Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:019234b3f9ee04601179b2d2a31a3e1abac8509a71ccef97fa8d0af1a3a93383","observation_id":"f384c9e6-2e84-42f7-b230-c1545d5b4414","resolution":{"observed_at":"2026-08-15T18:51:47.909777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.889938Z","title":"Per-clip video object segmentation,","venue":null,"work_id":"0d48f6a4-7677-4366-953e-2cf7048d1b5c","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.487286Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:4cbf48323ec344c88c397148758b8577c7594ad2d57a7d6054ea8e25ad2772fe","observation_id":"102400ce-adb8-4231-b2d8-0574d43992e2","resolution":{"observed_at":"2026-08-15T18:51:47.894733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.874243Z","title":"An elementary proof of a theorem of johnson and lindenstrauss,","venue":null,"work_id":"611ae31d-2e3b-44c9-91b9-6990b098b9a7","year":2003},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.491652Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:9234ac28fca25e2575a68c7b9aeb5999832d69017ca3cdf3945cc1718830b3cd","observation_id":"365db461-9a3b-423a-a16e-97e213343ea4","resolution":{"observed_at":"2026-08-15T18:51:47.879469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.859060Z","title":"Steger, M","venue":null,"work_id":"4897c202-9fd4-4a45-b8b4-3c1ece895111","year":2018},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.495842Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:9294af14fc480dd8b1ce98e72a632a432634f9c0a9de2b7bbd5a7c6dba7c278b","observation_id":"4753964c-563f-4c8f-bbbc-1a2bd39ee383","resolution":{"observed_at":"2026-08-15T18:51:47.863596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.500178Z","title":"f-anogan: Fast unsupervised anomaly detection with generative adversarial networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.500178Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:22e2ccebd5c08f8842cc93b53e9f121d45685e7cb78bbac8f4ad100c175abc53","observation_id":"6a906e27-732a-4bd3-81f7-10f8999d2740","resolution":{"observed_at":"2026-08-15T18:51:47.500178Z","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":"2026-08-15T18:51:47.833990Z","title":"Variational autoencoder based anomaly detection using reconstruction probability,","venue":null,"work_id":"dded3d85-e5d9-4b70-86ca-34415da3623f","year":2015},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.504793Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:1fb2c3b495c49fc8af803ffcf300e77f97bf44311e4c73be6549b02f657b5b14","observation_id":"be79496f-be09-4ec0-b03b-513a7ab6b7df","resolution":{"observed_at":"2026-08-15T18:51:47.838946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02011","last_updated":"2019-02-01T16:16:28Z","snapshot_observed_at":"2026-08-14T18:55:21.896237Z","submitted_at":"2018-07-05T14:07:23Z","title":"Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.02011","snapshot_observed_at":"2026-08-15T18:51:47.509239Z","title":"Improv- ing unsupervised defect segmentation by applying structural similarity to autoencoders,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.509239Z"},"links":{"cited_paper":"/paper/1807.02011","citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:0ad186c636e5d7e7287ddacf3c56288fad2e196030d333958d86e758a2d18842","observation_id":"dea6fe65-dc27-4d71-b2dc-c3b1e705daa9","resolution":{"observed_at":"2026-08-15T18:51:47.509239Z","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":"2026-08-15T18:51:47.819245Z","title":"Padim: a patch dis- tribution modeling framework for anomaly detection and localization,","venue":null,"work_id":"48f0ff64-0257-4fe9-b33e-044d3b2650c4","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.514123Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:4c3e075a04b56e839452f14a24716818e87bdb9f6f25314447e0e20f1e2a1c5f","observation_id":"ba16046c-f7e3-49e5-809f-14872980a0d8","resolution":{"observed_at":"2026-08-15T18:51:47.823871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.804442Z","title":"Vt- adl: A vision transformer network for image anomaly detection and localization,","venue":null,"work_id":"cb57b76d-3fda-40b6-af57-bae37c7271c0","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.518568Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:a64546b2be0af98122f5162f390d0ef3ab04ac59853841eceda8a105c9e470cb","observation_id":"622e9d78-4b05-4426-916f-c144758bf863","resolution":{"observed_at":"2026-08-15T18:51:47.809222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.788424Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":"af2956c9-49cc-4428-ac09-fe1beee4d272","year":2016},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.523719Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:68d4c14b10e65377fdcaea1b1b071f72af0407d31a995a6b5b8b6c0ddac71e7d","observation_id":"e4f78efe-d689-4bf4-93d7-d464f67f1923","resolution":{"observed_at":"2026-08-15T18:51:47.793184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.772011Z","title":"Aggregated resid- ual transformations for deep neural networks,","venue":null,"work_id":"909335f3-2302-42e9-adf7-b1fa56f68b61","year":2017},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.528065Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:3f5dfb3f7ac2fb61caafa2b968fcb686bb9cab0632685e9a57976b96a407c295","observation_id":"1d15ff62-a61a-4d6e-99b1-fb2779f8c022","resolution":{"observed_at":"2026-08-15T18:51:47.777406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.753536Z","title":"Uformer: A general u-shaped transformer for image restoration,","venue":null,"work_id":"0dfd8bc1-8201-4313-bb8a-c142622fdd3a","year":2022},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.532395Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:601e56770c2592c267f2925900e9710c2c88ab0805d1cc385385dfb7501858d4","observation_id":"6df7d3b9-e991-4658-b026-d447423b5cc4","resolution":{"observed_at":"2026-08-15T18:51:47.760105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05768","last_updated":"2023-03-29T01:13:00Z","snapshot_observed_at":"2026-08-16T15:49:18.615541Z","submitted_at":"2023-03-10T08:09:40Z","title":"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection","version":2},"cited_work":{"arxiv_id":"2303.05768","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.05768","snapshot_observed_at":"2026-08-15T18:51:47.613902Z","title":"Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection","venue":"cs.CV","work_id":"594a4f11-6076-49e6-9d02-04b093b80bf1","year":2023},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.536814Z"},"links":{"cited_paper":"/paper/2303.05768","citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:c50fb94fb2408962ba2ea0a454fa43efb00d4f126ef30a413b45dddd72068ce1","observation_id":"959ea355-e177-469c-813e-f0cb1e23bdef","resolution":{"observed_at":"2026-08-15T18:51:47.621609Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-15T18:51:47.541575Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.541575Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:b20b1e0a5c5bb0513744174ebf784ca9ec6e38f94b37d566123571f3205741f5","observation_id":"69ee84fc-8ffb-45ca-96f7-1d0cbb75b176","resolution":{"observed_at":"2026-08-15T18:51:47.541575Z","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":"2026-08-15T18:51:47.738399Z","title":"Patch svdd: Patch-level svdd for anomaly detection and segmentation,","venue":null,"work_id":"6d59331d-a025-43bf-bd44-ca578b902503","year":2020},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.546955Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:a1d2925a0938a0c19f181e16b198a93034531f751ae361a65ed6ce681b17a64e","observation_id":"6e0d853f-185c-4a83-979e-5f2306b6ae67","resolution":{"observed_at":"2026-08-15T18:51:47.743212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.723345Z","title":"Draem-a discriminatively trained reconstruction embedding for surface anomaly detection,","venue":null,"work_id":"9c6c5fa1-49fa-40a9-b9c4-ec417daa7d83","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.551320Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:66552141987f6fbd0ef9aaf50cd41faac6e10af35756316c01608643048ef91e","observation_id":"5c262043-2be3-4ac9-b320-6f2135620372","resolution":{"observed_at":"2026-08-15T18:51:47.728006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.708227Z","title":"Cutpaste: Self-supervised learning for anomaly detection and localization,","venue":null,"work_id":"b1c66b82-fd2f-409f-af57-2246f73e6b23","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.555769Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:5f77ebd63bb4497e2299e1d64477f3d33cc672341f1b7baf2841021870d752be","observation_id":"104dbd85-0711-49cf-867f-aba4a7acad35","resolution":{"observed_at":"2026-08-15T18:51:47.713024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T18:51:47.693667Z","title":"Same same but differnet: Semi-supervised defect detection with normalizing flows,","venue":null,"work_id":"9343d9ed-c42c-4ba6-919c-f85b61edae48","year":2021},"citing_paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:47.560314Z"},"links":{"citing_paper":"/paper/2506.18544"},"observation_digest":"sha256:c72725c8037be3441c65e3ab707c14fdfc578ceeef5926c2978329fc8121c873","observation_id":"988775d5-b866-44ce-b996-7bd762f38470","resolution":{"observed_at":"2026-08-15T18:51:47.698499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.18544","last_updated":"2025-06-23T11:54:15Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T03:07:51.140706Z","submitted_at":"2025-06-23T11:54:15Z","title":"Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":57},"total_outbound_references":68},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2506.18544."}