{"as_of":"2026-08-07T17:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:764cc7fdc225de5e4d25ce326d8bfaec304c060816df035093eb64e6c6ded573","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:05:26.735462Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.02477/citation-record","integrity":"/paper/2508.02477/integrity","json":"/paper/2508.02477/citation-record.json","paper":"/paper/2508.02477"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.11514","last_updated":"2023-10-12T08:49:31Z","snapshot_observed_at":"2026-07-06T14:45:08.248260Z","submitted_at":"2023-01-27T03:18:09Z","title":"Deep Industrial Image Anomaly Detection: A Survey","version":5},"cited_work":{"arxiv_id":"2301.11514","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.11514","snapshot_observed_at":"2026-08-06T05:05:27.579529Z","title":"Deep Industrial Image Anomaly Detection: A Survey","venue":"cs.CV","work_id":"342191cd-4976-422c-b522-b13758b7bcbd","year":2023},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.404033Z"},"links":{"cited_paper":"/paper/2301.11514","citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:0ad88e4064c412c11fe6d8a3fbff2bf86ac757b07fc877dbcda865d94360ea3d","observation_id":"7f1a5d0e-a618-4cd9-9253-b7a33e0cbfd9","resolution":{"observed_at":"2026-08-06T05:05:27.638597Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.872897Z","title":"Xiang, Y","venue":null,"work_id":"f672ea01-d5dc-4098-8b0e-ce0ec803094e","year":2023},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.481363Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:84ab333e5c5ffbcb74dd5600d3f23a6aa1c65117b4963fd2fe6d022a68aba919","observation_id":"e1f6da5e-9e7d-4e96-8019-2700b908be96","resolution":{"observed_at":"2026-08-06T05:05:30.878544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.842636Z","title":"Schlegl, P","venue":null,"work_id":"a522194b-7898-437d-937c-d3780d64bf10","year":2019},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.538085Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:cabb6d300246d7aa8204b76de36e31bbbc09d4bfcd83de9271c21878c849e1be","observation_id":"4d043b6e-e5cd-47cd-96fb-98f439a92c6e","resolution":{"observed_at":"2026-08-06T05:05:30.847609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.801685Z","title":"Sultani, C","venue":null,"work_id":"ecdd73cc-353e-458e-8e56-6c2c3227c79c","year":2018},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.609446Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:7a56a22df075af86710d3a1848eafd80c0cb5fb22150fb5ad80797d9f164ba02","observation_id":"0fbb5a9c-9a58-470a-bfc8-8620c67e00de","resolution":{"observed_at":"2026-08-06T05:05:30.818541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.775712Z","title":"Chang, Y","venue":null,"work_id":"6bfda750-1712-4e01-b183-303d9b528e48","year":2021},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.690855Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:cb7800a47868a2dbb9e5161c93db4b5ff809adfb3139a6ad8245abb9fdf6f9b4","observation_id":"457473a7-59b4-4a0d-8efb-3bc159f446f4","resolution":{"observed_at":"2026-08-06T05:05:30.787176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.750128Z","title":null,"venue":null,"work_id":"3557f369-095b-4110-aa2f-52f04865c238","year":2020},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.762163Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:72c2c12cbaba07f8604086d08ef2cf9667f1a73da239b0eb18aec6cdbad81478","observation_id":"8029e3d8-1751-48ca-a423-cce06d89bec8","resolution":{"observed_at":"2026-08-06T05:05:30.756746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.716607Z","title":null,"venue":null,"work_id":"d820dade-4001-4e7a-b5b0-e55375f46598","year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.840772Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:b34eed62d348cbe5275df50c5c3eb283910ab8ac9c6c90ddba07484e765b70cc","observation_id":"76d52797-cae8-4510-9a3f-33f919ce04c0","resolution":{"observed_at":"2026-08-06T05:05:30.725993Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.689888Z","title":"Zhang, X","venue":null,"work_id":"85beea76-f480-4a69-8ab8-ca2bf436e32b","year":2025},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.913603Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:b32d5d8892f1fd43cd73912b22b7ad1a7b78ad30a65fe63057dab97afee5ea4b","observation_id":"15ecfb07-e019-4717-b901-8a9723d74059","resolution":{"observed_at":"2026-08-06T05:05:30.700664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10760","last_updated":"2024-04-16T17:38:26Z","snapshot_observed_at":"2026-08-03T10:47:32.594682Z","submitted_at":"2024-04-16T17:38:26Z","title":"Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10760","snapshot_observed_at":"2026-08-06T05:05:23.990139Z","title":"Zhang, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:23.990139Z"},"links":{"cited_paper":"/paper/2404.10760","citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:733340cea2c3a61770d226119925473084e6171888f3a6ce801a75287a494137","observation_id":"3c6c8bd0-0064-4364-9231-c0f241becb84","resolution":{"observed_at":"2026-08-06T05:05:23.990139Z","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":"2026-08-06T05:05:30.658134Z","title":null,"venue":null,"work_id":"3799aeca-7e2b-4358-8f83-5047348b5fbb","year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.064922Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:83f572f92e5cbc6e20efdef66e84495ff97387f9096618b174b33da2776e49df","observation_id":"7c2711de-a706-4fd6-be68-4bf2fc3233b2","resolution":{"observed_at":"2026-08-06T05:05:30.674956Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14213","last_updated":"2024-03-21T08:08:31Z","snapshot_observed_at":"2026-08-05T16:30:49.424982Z","submitted_at":"2024-03-21T08:08:31Z","title":"Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14213","snapshot_observed_at":"2026-08-06T05:05:24.187070Z","title":"Jiang, Y","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.187070Z"},"links":{"cited_paper":"/paper/2403.14213","citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:de2b230a4297337043dd9686770458709b02e36407921e1fc46b877fb455a656","observation_id":"669cb13f-7e8d-4157-98ed-dcf5cb86c366","resolution":{"observed_at":"2026-08-06T05:05:24.187070Z","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":"2026-08-06T05:05:30.632920Z","title":null,"venue":null,"work_id":"7c39edab-82dc-4e05-804a-3d45059d0da8","year":2022},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.283150Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:6238edd79230ecb9e19c2dce5d4e7e1f2fbbe5cd4eef7d3cc7825ebabacef493","observation_id":"2eb45d4b-400b-4045-94e0-e2f448927031","resolution":{"observed_at":"2026-08-06T05:05:30.640099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.599896Z","title":null,"venue":null,"work_id":"7bfca9a7-d79d-4e97-9c3b-58277e4bdb35","year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.402598Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:da3b160182d097138579179122339db241933e765c400869267406cfc4e1266c","observation_id":"8b9f06b6-1533-4773-8a42-48719a1ee17a","resolution":{"observed_at":"2026-08-06T05:05:30.611992Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.12540","last_updated":"2023-11-14T09:10:14Z","snapshot_observed_at":"2026-07-06T15:57:36.128928Z","submitted_at":"2023-07-24T06:04:12Z","title":"UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection","version":2},"cited_work":{"arxiv_id":"2307.12540","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.12540","snapshot_observed_at":"2026-08-06T05:05:27.374037Z","title":"UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection","venue":"cs.CV","work_id":"6a75299b-f7c0-4e3b-8d79-ed4957acd864","year":2023},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.476754Z"},"links":{"cited_paper":"/paper/2307.12540","citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:29dc2862ffeda1d33002fd9798f96f0023ccc9310f55a8d1ff6070e8419e7f63","observation_id":"270baf8b-c698-4f29-82c5-1826bad8193d","resolution":{"observed_at":"2026-08-06T05:05:27.443508Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.00942","last_updated":"2024-09-02T05:01:41Z","snapshot_observed_at":"2026-07-06T19:09:01.748727Z","submitted_at":"2024-09-02T05:01:41Z","title":"VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.00942","snapshot_observed_at":"2026-08-06T05:05:24.522501Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.522501Z"},"links":{"cited_paper":"/paper/2409.00942","citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:d4753c57d2482efa2a1ed97e894c048df5de22a81f1247fdc057c58e39d52cb4","observation_id":"11a077b1-97e6-47dd-82e3-eec2a36476b3","resolution":{"observed_at":"2026-08-06T05:05:24.522501Z","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":"2026-08-06T05:05:30.577028Z","title":null,"venue":null,"work_id":"a1f66d9a-1d6f-41bd-b3d9-86dc653f050a","year":2022},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.611132Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:8934624d451c4bc9554dd5566bc263683818da95762789bcff45181d448e901b","observation_id":"5997e218-a0d2-4bb9-a0ed-c119f64798d9","resolution":{"observed_at":"2026-08-06T05:05:30.582739Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.557577Z","title":null,"venue":null,"work_id":"273afc7c-9ff8-4e5c-9606-ecfc33cd59c5","year":2019},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.667903Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:5f0b5f156cf4a4aff6a5bd365083ca3f23fc84e32c2575b6de0ac16575334b84","observation_id":"4b78a244-341b-4ac2-bb98-fe8cee9b0ec9","resolution":{"observed_at":"2026-08-06T05:05:30.562606Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.536213Z","title":null,"venue":null,"work_id":"e3aa3b57-82e2-4380-8490-bc3ceedf39e5","year":2023},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.738906Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:ea5b0336c847d7ad1b7368d076842ea5852fe07ecdb5495548442d24052669fd","observation_id":"025a0dfc-7dd9-4dad-b43c-a4d407c57e49","resolution":{"observed_at":"2026-08-06T05:05:30.543357Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.515001Z","title":null,"venue":null,"work_id":"1ab1da8a-436a-4821-965f-a50ca4ef2449","year":2022},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.790711Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:93d944c55b1da9e545ff5296fcaca5b2a7f92936e717c8c6a136034dbd82486c","observation_id":"ab61f402-db92-42c9-ae4b-59ecc3c090ac","resolution":{"observed_at":"2026-08-06T05:05:30.521117Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.488865Z","title":"Defard, A","venue":null,"work_id":"18a5f27c-02f6-48e8-92d4-2a8c042f98fd","year":2021},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.871658Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:514cc86878b20eda62c9865fc2b6df8473116aed1dd0f03412163b549f8befe8","observation_id":"36d028e5-75df-4751-8c9b-32d06af1957d","resolution":{"observed_at":"2026-08-06T05:05:30.497682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.462015Z","title":null,"venue":null,"work_id":"07d8144b-2deb-42f7-8285-0ad614288322","year":2022},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:24.955612Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:17111bd0bded9000fc6db9319ce18c104f9597f60fec2c4e10657db2db5f86a2","observation_id":"3e72b2ab-7606-4f18-9c4e-7968c607ab42","resolution":{"observed_at":"2026-08-06T05:05:30.466933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.440711Z","title":null,"venue":null,"work_id":"7e269af9-3a45-426c-a460-f9cf24233711","year":2009},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.073430Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:e75bfc6547c0288c5a30ce2787c6984b79c6dbc070a83ad71786d1fa40034c55","observation_id":"3f02c97f-b794-4b65-bff2-fb0f5dcfbf32","resolution":{"observed_at":"2026-08-06T05:05:30.447223Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.415000Z","title":null,"venue":null,"work_id":"f0f3a0f6-7aba-4423-b61c-0d39dc6fda18","year":2014},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.177379Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:934deb75f1e4b49f72d72726cafd4f96c72044b24e5f3b6f7101bf9249b13969","observation_id":"abf43c14-9d91-4a79-ae02-223c5592f0e6","resolution":{"observed_at":"2026-08-06T05:05:30.421340Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.394072Z","title":"Sarfraz, V","venue":null,"work_id":"c5ffc830-983f-451d-a164-0625ec25bd03","year":2019},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.227021Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:705b5cc7a34775d5924173a2250da53536422832aa9d09c0439a9e825efc6cfd","observation_id":"149ccc76-4f16-4b0b-8668-df490b2c38a1","resolution":{"observed_at":"2026-08-06T05:05:30.399029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:30.301097Z","title":null,"venue":null,"work_id":"e31b1ea6-9663-4235-a9b2-4ffeeb34dbb6","year":1987},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.299301Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:eb8920a060e8b14a7dd9cc725cdb26ddc9cc6fdc9d7dd1e59e5f4fcdc2558b4b","observation_id":"d134967f-4016-46f0-94b0-cfad6fa78e1e","resolution":{"observed_at":"2026-08-06T05:05:30.379588Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:29.952915Z","title":"Sener, S","venue":null,"work_id":"1d3ea6a4-42c2-42c4-b6df-2a22f23af7da","year":2018},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.360819Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:b4cd99f7f1e19ddb677ee3d2318c4a13bbe540257be998680b8eb2495a700477","observation_id":"efa4a697-c94a-49cc-b7ce-38bc9ba79535","resolution":{"observed_at":"2026-08-06T05:05:30.088280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03262","last_updated":"2025-08-19T02:35:24Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:40:07Z","title":"A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03262","snapshot_observed_at":"2026-08-06T05:05:25.427365Z","title":"Zhang, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.427365Z"},"links":{"cited_paper":"/paper/2406.03262","citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:03c53dc8e8b022d58b28af01e7a9d87d7d2f9611c67fefee49fcb887f421398c","observation_id":"85fd81fe-c5c7-410f-80d6-35b5953fc849","resolution":{"observed_at":"2026-08-06T05:05:25.427365Z","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":"2026-08-06T05:05:29.806264Z","title":"Bergmann, M","venue":null,"work_id":"d450c445-68f0-4037-88b1-cb53a1986a84","year":2019},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.496863Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:04e123f572c265c9e7c5b5b9b3e159240f0f9f3e4c2ee3f57a3684710fe08337","observation_id":"1dd9339f-e1bc-481b-a496-27dd2ecc261c","resolution":{"observed_at":"2026-08-06T05:05:29.862917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:29.517544Z","title":null,"venue":null,"work_id":"e96ae33c-ba4c-4a18-836e-1f086afacd7e","year":2022},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.579917Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:95904cbd0544495067ac2e878eb3947d22f8e883b4b5badbdec7136281a34332","observation_id":"9d29ea7c-2096-48bd-9a3e-1813d4e2e723","resolution":{"observed_at":"2026-08-06T05:05:29.722811Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:29.275682Z","title":"Jezek, M","venue":null,"work_id":"adef8d9f-3bde-4ed2-a37b-5468e15ca12d","year":2021},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.658209Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:63513ca725277c11f18b0964dceffb7bed5692e53c9a0a9123374a51020450aa","observation_id":"ea6aa6c9-d9f7-4a3a-bb4d-a81c342c88d0","resolution":{"observed_at":"2026-08-06T05:05:29.389427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:29.158370Z","title":"Mishra, R","venue":null,"work_id":"df4b6447-309c-46de-a61c-1e9fddf8dd73","year":2021},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.744291Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:45dfe2c9271723f56687e00683d44bce478fc5704bc9947a2ce6b268a4954574","observation_id":"2e0f4179-69ea-4e4b-a6d6-8ddbd08dc329","resolution":{"observed_at":"2026-08-06T05:05:29.234292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:28.997935Z","title":"Zavrtanik, M","venue":null,"work_id":"30f364e2-a0a6-447e-b675-9095b4bf89d5","year":2021},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.848101Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:a1c62379ee0592f86d0d4df754b9dee02b2381c02fc86bbc095acafd68856113","observation_id":"faa10622-6729-4d58-8497-14814f3de6fa","resolution":{"observed_at":"2026-08-06T05:05:29.067017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:28.869377Z","title":null,"venue":null,"work_id":"e0dabde4-3f4b-4fb6-b2a1-edf5987271fc","year":2023},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:25.941846Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:21162e4f60d3d6e82596342e5ce321657997a51c73b01053eb705452b259b3c5","observation_id":"5637f480-e546-4aa4-b1b1-f77e4fe145ec","resolution":{"observed_at":"2026-08-06T05:05:28.920619Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:28.705470Z","title":"Zhang, M","venue":null,"work_id":"5580c346-b3eb-453e-a0ee-4e1b8a635063","year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.029277Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:59adc22217d01575a047c090d4bc33d61d2bd7248d58327394836b8181a9419e","observation_id":"e6bc71e9-a3eb-4d99-990e-e52b9c0f9b6b","resolution":{"observed_at":"2026-08-06T05:05:28.773745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:28.558100Z","title":null,"venue":null,"work_id":"dd2aa2d5-520f-4c61-935d-1b082be88cb8","year":2022},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.101698Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:09c412a9659517c66bfea89cd47b0eddb92ae5489fa0dc86bbc5484c9f2a15bd","observation_id":"bbc26912-fedc-498e-b779-c89827432b62","resolution":{"observed_at":"2026-08-06T05:05:28.626608Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:28.410477Z","title":null,"venue":null,"work_id":"d689ed70-3f99-4cea-b621-2f9920807502","year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.186741Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:ca8d3dd9b7528abe014b8163a82a3f06f808a7f84639827a67e52caf134666d6","observation_id":"d09f769b-81c8-469b-8014-71f498a43522","resolution":{"observed_at":"2026-08-06T05:05:28.461548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:28.262474Z","title":"Zhang, S","venue":null,"work_id":"72ae11be-a71c-4bcb-bb14-80bbe06fce68","year":2023},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.284911Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:cfe5e5efee970933aa017dad69e8e0125fb1d06ded950f4c098cf181e75022c1","observation_id":"56fee045-9584-4a44-a517-177cb5bd8ea0","resolution":{"observed_at":"2026-08-06T05:05:28.324999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:28.130922Z","title":"Gudovskiy, S","venue":null,"work_id":"5d956d76-f6b3-485c-a755-23f34b681cf3","year":2022},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.395485Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:3d08a6a8735aa993fc596acfb948238ad81123fafc401d6ca48fbb085e06eebf","observation_id":"4ece5ee2-4a2c-4f12-872b-93677344405a","resolution":{"observed_at":"2026-08-06T05:05:28.189790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:27.931689Z","title":null,"venue":null,"work_id":"1d5387d8-b273-45fc-8789-3d6ed48bc35e","year":2023},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.480428Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:e004f4e66af9fd46dbecb8740a34ed59402d854dc3ad76a8cc86a4351b55b89e","observation_id":"db5c8bf9-b6e4-476b-a616-5479503dee65","resolution":{"observed_at":"2026-08-06T05:05:28.017858Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T05:05:27.748111Z","title":"Zagoruyko, N","venue":null,"work_id":"54a32659-607e-4041-a01e-b4b6dd188d4b","year":2016},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.549326Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:64afd1ec7d31ff195efc12a4a6b05ac9215802246f5fe403d0091b4f1b029680","observation_id":"eb2da21d-5f9f-4adf-9d0c-1316f218d4cd","resolution":{"observed_at":"2026-08-06T05:05:27.803290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08281","last_updated":"2025-10-23T09:36:08Z","snapshot_observed_at":"2026-07-31T05:45:37.385210Z","submitted_at":"2024-01-16T11:12:36Z","title":"The Faiss library","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08281","snapshot_observed_at":"2026-08-06T05:05:26.656408Z","title":"Douze, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.656408Z"},"links":{"cited_paper":"/paper/2401.08281","citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:ec92114651041806ca635eb642a7685ce3bdd0d54d33b118d861ea5577551de4","observation_id":"4c733ad1-341e-464b-9faf-6c2403ffb6e4","resolution":{"observed_at":"2026-08-06T05:05:26.656408Z","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":"9200.6850","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:05:27.105555Z","title":"Bergmann, M","venue":null,"work_id":"ac2fd615-94c9-48fa-8b70-32ace3e62505","year":2020},"citing_paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T05:05:26.735462Z"},"links":{"citing_paper":"/paper/2508.02477"},"observation_digest":"sha256:a7800bf50f0f67cf525fe4bb0272048404b90d9ec0ac682103efa8e016559466","observation_id":"72a59bc2-04e7-41f5-aa43-07cb21c9fd7a","resolution":{"observed_at":"2026-08-06T05:05:27.185283Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.02477","last_updated":"2025-08-04T14:44:40Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T11:56:10.165550Z","submitted_at":"2025-08-04T14:44:40Z","title":"Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":2,"verified_fuzzy":16},"total_outbound_references":42},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2508.02477."}