{"as_of":"2026-08-18T03:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8e773e6a2a53861ba6d5045ac7a1431dbc903206e10b3ad262c4c2c872939c0b","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:03:13.294540Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:21:38.074077Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T16:29:57.658090Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10996","snapshot_observed_at":"2026-08-06T17:21:38.074077Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.13378","last_updated":"2025-07-15T08:03:56Z","snapshot_observed_at":"2026-08-16T01:54:22.845850Z","submitted_at":"2025-07-15T08:03:56Z","title":"A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T17:21:38.074077Z"},"links":{"cited_paper":"/paper/2505.10996","citing_paper":"/paper/2507.13378"},"observation_digest":"sha256:56afaadbe59dc26ab06054b983360934c23c9b2b84af0a5db0a0017c9baf112a","observation_id":"e127f203-e373-4f3c-8c7a-4285df16006d","resolution":{"observed_at":"2026-08-06T17:21:38.074077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"cited_work":{"arxiv_id":"2505.10996","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.10996","snapshot_observed_at":"2026-07-04T16:29:57.658090Z","title":"arXiv preprint arXiv:2505.10996 (2025)","venue":null,"work_id":"75969eba-0913-41d8-8cd2-b6c022a7d4d6","year":2025},"citing_paper":{"arxiv_id":"2606.24375","last_updated":"2026-06-23T10:07:54Z","snapshot_observed_at":"2026-08-12T12:31:16.645266Z","submitted_at":"2026-06-23T10:07:54Z","title":"MATCH: Flow Matching for Multi-View Anomaly Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T00:32:33.173587Z"},"links":{"cited_paper":"/paper/2505.10996","citing_paper":"/paper/2606.24375"},"observation_digest":"sha256:f0a213e848a2a04d0ab3580ed0bbb385e74bbef1ee2c4c0d3a091141c5f6c1a9","observation_id":"911ec903-1588-4f56-8b66-58385e9d55d0","resolution":{"observed_at":"2026-07-04T16:29:57.659729Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.10996/citation-record","integrity":"/paper/2505.10996/integrity","json":"/paper/2505.10996/citation-record.json","paper":"/paper/2505.10996"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:03:13.830171Z","title":"The MVTec anomaly detection dataset: A comprehensive real-world dataset for unsupervised anomaly detection","venue":null,"work_id":"92f3b61f-9b4c-4005-a0c1-145e289a8a51","year":2021},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.158355Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:97cc8de5df72de8351b6829ad9de82654a5cc75a0077bfa22c6f95f5f9a7c77e","observation_id":"631db53c-5a3b-4461-a2e2-c101907d3114","resolution":{"observed_at":"2026-08-15T21:03:13.833402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.820263Z","title":"Spot-the-difference self-supervised pre-training for anomaly detection and segmentation","venue":null,"work_id":"16296736-e3c1-4966-a242-25898fb5feac","year":2022},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.162842Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:ca66658aa564b7605f50839572fe6965c5f3ca894b925388d21b84e49f6cb847","observation_id":"a5a677d2-2ba5-4cb1-a74a-fe055223788f","resolution":{"observed_at":"2026-08-15T21:03:13.823639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.810363Z","title":"Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detection","venue":null,"work_id":"2d6b0b4c-4141-4026-b74f-1ead5429aa1a","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.166512Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:560fcacefa1238c08bc1e331cec5b38ebdde016750c4491cf098732878d83aa2","observation_id":"ae7778b1-557f-475c-b3a2-7c11e9dd9799","resolution":{"observed_at":"2026-08-15T21:03:13.813851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.800209Z","title":"Pad: A dataset and benchmark for pose-agnostic anomaly detection","venue":null,"work_id":"dcee1be9-e040-4d45-a70a-da490d450dc5","year":2023},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.169971Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:baa60e45f1b6e5cd80e9ba0a3e62af12ce631352f402e2d4d6741ed43f00b534","observation_id":"8a037ec8-7610-49f9-a1f7-d535b15ebf22","resolution":{"observed_at":"2026-08-15T21:03:13.803932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.173746Z","title":"The mvtec ad 2 dataset: Advanced scenarios for unsupervised anomaly detection","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.173746Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:bfbbd8685587953487cb9b3ae6075651835dd4ec4b39ebbc9dc3d53421900999","observation_id":"840c3c06-7252-49d4-af78-65bb782be910","resolution":{"observed_at":"2026-08-15T21:03:13.173746Z","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":"2026-08-15T21:03:13.789094Z","title":"The eyecandies dataset for unsupervised multimodal anomaly detection and localization","venue":null,"work_id":"0db0e433-50b7-485c-b262-18f7f6d946a1","year":2022},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.177139Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:90d5e7b55350d79eb94c3cd877650a30a43ada10b51210dcb86c5e570c03b5c8","observation_id":"9edfa6ee-1e78-40f2-88fd-1ea99d922fe8","resolution":{"observed_at":"2026-08-15T21:03:13.793544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.778524Z","title":"Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection","venue":null,"work_id":"0ac1b6ae-9f1d-43e9-9009-3ac41542a444","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.180748Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:0ecd27a18509910d68711b462abec84a892624c680e4ace452cee045b96a9a19","observation_id":"9303f1e0-30e9-4ce4-bd56-856452fb6347","resolution":{"observed_at":"2026-08-15T21:03:13.782395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.768087Z","title":"Dinomaly: The less is more philosophy in multi-class unsupervised anomaly detection","venue":null,"work_id":"8aae16c7-ab38-4787-ada2-0805b6f1c7d6","year":2025},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.184182Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:47117004263c3fde15317d9f0f5da7bed2808a420bb987a2a73fea9d331a5465","observation_id":"7694a572-6cce-47dd-971e-e013dd27f308","resolution":{"observed_at":"2026-08-15T21:03:13.771981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.759129Z","title":"Mixed supervision for surface-defect detection: From weakly to fully supervised learning","venue":null,"work_id":"9eac1aff-1bea-47c4-8375-6fb9a26edaf4","year":2021},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.188558Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:c7b4c33c19e60a7b031ed9c14172892236b50629f2ef14c5d9f99b9e9720a4bb","observation_id":"64a6dc88-20e5-4bc6-a662-dfb094960cbf","resolution":{"observed_at":"2026-08-15T21:03:13.762500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.749855Z","title":"VT-ADL: A vision transformer network for image anomaly detection and localization","venue":null,"work_id":"be4d8f91-1e9a-4f4a-85c5-5861c45eda51","year":2021},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.191837Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:aaa2d43c9c534839959d0e2a15a492020dcb7db5de9bfa24d15c042fa074f861","observation_id":"79a6c04d-725f-4441-bbed-ef80c4ae3296","resolution":{"observed_at":"2026-08-15T21:03:13.753264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.740168Z","title":"Surface defect saliency of magnetic tile","venue":null,"work_id":"3efe3f7b-a2a2-4e55-95e6-be9a8c6dd718","year":2018},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.195730Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:bc7858ae4b1cce8b7993b3d22c8340e9270ae8b65d5006e4200db5c5775634c6","observation_id":"700796b9-8217-4e59-a958-7e58ecd83d4b","resolution":{"observed_at":"2026-08-15T21:03:13.743471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.199294Z","title":"The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.199294Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:a66e1db07050375732f697e945c8cbd89d817dad8426c42bc35dcc3c50dda2a7","observation_id":"93cdbac7-de47-4c34-a6ef-6e6eaea6fda7","resolution":{"observed_at":"2026-08-15T21:03:13.199294Z","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":"2026-08-15T21:03:13.730512Z","title":"Real3d- ad: A dataset of point cloud anomaly detection","venue":null,"work_id":"d97b0404-b3b1-4143-940d-e1440109db6e","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.203216Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:a0509d2612b8ac40efde9f0fd3d15de55f466507a0fbdd5a90a4bd37a77dc974","observation_id":"c90cace5-f8df-4743-a7ce-09f1195ef7d1","resolution":{"observed_at":"2026-08-15T21:03:13.733900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.721849Z","title":"Real-iad d3: A real-world 2d/pseudo-3d/3d dataset for industrial anomaly detection","venue":null,"work_id":"7b9d7bc7-5881-43dd-b3b8-5421eaf85aff","year":2025},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.207098Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:daad9130e5eacca48d26317e880a62c54842570ac322d96216b6ccd895cf4610","observation_id":"c92607ec-300a-4a06-8b21-c3f4aec35699","resolution":{"observed_at":"2026-08-15T21:03:13.724502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00713","last_updated":"2026-08-03T21:22:27Z","snapshot_observed_at":"2026-08-17T13:28:50.402116Z","submitted_at":"2024-10-01T14:05:35Z","title":"RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00713","snapshot_observed_at":"2026-08-15T21:03:13.210968Z","title":"Rad: A dataset and benchmark for real-life anomaly detection with robotic observations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.210968Z"},"links":{"cited_paper":"/paper/2410.00713","citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:f645528b0a30cf09375121360c0ec6896d50e7f4abb500e0eb1e7755400753b2","observation_id":"3c6faef9-580a-4422-a8d9-3de62eee31c6","resolution":{"observed_at":"2026-08-15T21:03:13.210968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.04867","last_updated":"2024-12-06T09:01:10Z","snapshot_observed_at":"2026-08-17T13:29:38.806896Z","submitted_at":"2024-12-06T09:01:10Z","title":"MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.04867","snapshot_observed_at":"2026-08-15T21:03:13.215004Z","title":"Manta: A large-scale multi-view and visual-text anomaly detection dataset for tiny objects","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.215004Z"},"links":{"cited_paper":"/paper/2412.04867","citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:07b2b97298d354767c8a44f86245a844f2328cbe4066c5fa1ce18bc19fe840e1","observation_id":"5c44d978-5790-4865-a33f-85bf8bdb35ba","resolution":{"observed_at":"2026-08-15T21:03:13.215004Z","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":"2026-08-15T21:03:13.712365Z","title":"Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction","venue":null,"work_id":"f51a8b1e-d717-4e8e-8b6e-80c5c71b88c1","year":2023},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.219172Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:01450aad5e8c2c88088209ff8bad89f966bf492ce15b8b3e8185e4ba1ab9be16","observation_id":"51ba418c-b2fe-4210-bce6-41fb23f4e91c","resolution":{"observed_at":"2026-08-15T21:03:13.715339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.703351Z","title":"IRON: inverse rendering by optimizing neural sdfs and materials from photometric images","venue":null,"work_id":"0b0f417b-4e38-4b6f-bf41-199010c89404","year":2022},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.222566Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:996aea23190e7e9913468383953514ad7c82bf15edc06508db38f37eae1b359e","observation_id":"bbcc1216-2893-432b-8384-9d7b39d05b7c","resolution":{"observed_at":"2026-08-15T21:03:13.706710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.692181Z","title":"Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction","venue":null,"work_id":"e71e137d-2d9d-49cf-81c6-1c96c515f00f","year":2022},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.226411Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:169d9508705c96a7428aa4e028d1184d7dc16edac20f01d370ae66e0e896d5f0","observation_id":"fefb279c-9555-4ec1-9e3e-c2c382825f69","resolution":{"observed_at":"2026-08-15T21:03:13.696796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03562","last_updated":"2025-03-26T03:58:26Z","snapshot_observed_at":"2026-08-17T13:30:07.468489Z","submitted_at":"2025-03-05T14:49:08Z","title":"Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection","version":3},"cited_work":{"arxiv_id":"2503.03562","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.03562","snapshot_observed_at":"2026-08-15T21:03:13.444508Z","title":"Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection","venue":"cs.CV","work_id":"6d47b466-e4ad-48ad-a96b-773227ec1aa0","year":2025},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.229171Z"},"links":{"cited_paper":"/paper/2503.03562","citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:ed407f893f52fbed300236ab8c4807b00d76f12744e3406276e480341f196f0e","observation_id":"1a4f282b-58ff-469f-bc59-6f1e165c62a9","resolution":{"observed_at":"2026-08-15T21:03:13.450514Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06171","last_updated":"2025-03-14T10:23:06Z","snapshot_observed_at":"2026-08-17T13:28:50.254490Z","submitted_at":"2024-12-09T03:05:34Z","title":"Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06171","snapshot_observed_at":"2026-08-15T21:03:13.232883Z","title":"Holmes-vau: Towards long-term video anomaly understanding at any granularity","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.232883Z"},"links":{"cited_paper":"/paper/2412.06171","citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:6644efe87e26ad13add61c392f60fba6caccbef50614363ed3544b4f878488ae","observation_id":"958ab10e-b8af-4194-b3b6-e7110777ba16","resolution":{"observed_at":"2026-08-15T21:03:13.232883Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02424","last_updated":"2025-07-01T14:21:28Z","snapshot_observed_at":"2026-08-16T12:53:17.633933Z","submitted_at":"2025-03-04T09:10:32Z","title":"Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02424","snapshot_observed_at":"2026-08-15T21:03:13.236245Z","title":"Exploring intrinsic normal prototypes within a single image for universal anomaly detection","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.236245Z"},"links":{"cited_paper":"/paper/2503.02424","citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:e1a34d15781c764a4d518021da83eb036f5c7ba9b7adcf02fb069e6ef1cafdcc","observation_id":"49bf0504-433b-40e9-bb48-c8f69c7afa2c","resolution":{"observed_at":"2026-08-15T21:03:13.236245Z","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":"2026-08-15T21:03:13.680914Z","title":"MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection","venue":null,"work_id":"ebc73587-407b-49e9-8789-335b3caa8a44","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.239541Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:8adb2a2fa9ae0ead429f482f55a056310932882e6c8a701cede48ba80077d234","observation_id":"a0998f20-17c4-4863-8a53-ffd00034bc9a","resolution":{"observed_at":"2026-08-15T21:03:13.685082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.670422Z","title":"Collaborative discrepancy optimization for reliable image anomaly localization","venue":null,"work_id":"2173706e-c5be-4c52-a5cb-ef6c5c1b927d","year":2023},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.242745Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:d44684828dbc665bc79efd7145716be82827f6ad8c086e54be4f427c72968034","observation_id":"163b06d7-2aa9-4dff-b7ed-ac2ec9e17fda","resolution":{"observed_at":"2026-08-15T21:03:13.673884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.659628Z","title":"Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection","venue":null,"work_id":"b2208de8-1570-433b-b321-a55f484e05dd","year":2023},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.245719Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:370ccaf1e9973cfe1fe626a4cf190c74d52661e5606a6ea698af92c733a06fa6","observation_id":"df8d8a61-2dba-4f23-9f99-431fc1b19aa5","resolution":{"observed_at":"2026-08-15T21:03:13.663158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.649762Z","title":"A unified anomaly synthesis strategy with gradient ascent for industrial anomaly detection and localization","venue":null,"work_id":"65eadd29-4600-4212-9f3f-c4e6caee5beb","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.248899Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:b1027a2125408d45e74b28c1d34ead8f35105a32ae8dde79c6a6fad063b2f46c","observation_id":"ef769103-b445-4f83-8705-2c17d60e1dc8","resolution":{"observed_at":"2026-08-15T21:03:13.653158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.639798Z","title":"Hierarchical gaussian mixture normalizing flow modeling for unified anomaly detection","venue":null,"work_id":"22b717a5-19f5-4da6-84b3-4bebb73cd2b0","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.252408Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:35587ed6c1436efb668bf8c6229b883e25950c71ce7f88f639b2e40cfd00cdc5","observation_id":"9e558e69-7569-41db-9580-87ca8a86964a","resolution":{"observed_at":"2026-08-15T21:03:13.643249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.628436Z","title":"Towards Total Recall in Industrial Anomaly Detection","venue":null,"work_id":"0e071e57-95d0-4f42-bcd5-bd58e62dc6ce","year":2022},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.255925Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:379d600bb0865c3d26ff17918e5921406405bcb9555082daa34546d5e796c774","observation_id":"359f008f-acd0-46fb-8701-628ae07143c9","resolution":{"observed_at":"2026-08-15T21:03:13.632106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.617541Z","title":"Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection","venue":null,"work_id":"221dfb71-8e21-461c-ae5d-0989049b334e","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.259345Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:8960dfc847643b17a88f426bbd6036cdd637d037cf24b250da1a53a0cd27176e","observation_id":"77b1a3b0-f6c5-473c-8a5a-df350d497d91","resolution":{"observed_at":"2026-08-15T21:03:13.621560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.605140Z","title":"Multimodal industrial anomaly detection via hybrid fusion","venue":null,"work_id":"42f900d4-27a1-4e49-b384-3a3b8b1fd2c6","year":2023},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.262584Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:ee9501a6bbfbb4c56a945944f27597049c702a5e49492c733c0aa83f26b065b3","observation_id":"706915a4-a134-4b94-91f8-55414674d5da","resolution":{"observed_at":"2026-08-15T21:03:13.609959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.593595Z","title":"Easynet: An easy network for 3d industrial anomaly detection","venue":null,"work_id":"7bffce49-86fb-44f5-9399-9878c67a3ce9","year":2023},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.265895Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:d6dfaceb3ad111451bf69453d045e7b2c28d7f611755ca4011645bc2c6895b04","observation_id":"910148a5-0bbb-46a0-80ed-4d4e200f549c","resolution":{"observed_at":"2026-08-15T21:03:13.597893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14592","last_updated":"2024-12-19T07:23:17Z","snapshot_observed_at":"2026-08-17T13:18:13.639495Z","submitted_at":"2024-12-19T07:23:17Z","title":"Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14592","snapshot_observed_at":"2026-08-15T21:03:13.269273Z","title":"Multi-sensor object anomaly detection: Unifying appearance, geometry, and internal properties","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.269273Z"},"links":{"cited_paper":"/paper/2412.14592","citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:4faf76be93cf20af348c22ea5916c145be905fb46afe79c3555d783926727bd1","observation_id":"da3830a8-4bc2-4f47-9968-d2d8679b5a57","resolution":{"observed_at":"2026-08-15T21:03:13.269273Z","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":"2026-08-15T21:03:13.582084Z","title":"Learning diffusion models for multi-view anomaly detection","venue":null,"work_id":"6f066b96-2fab-4a63-91ad-6c368972c65e","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.273345Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:10273c2461df6673734b47de6ae7c508b838a54502a9df157a4baafa701b1a50","observation_id":"651c6289-bb41-45c7-b791-22f3b1d57612","resolution":{"observed_at":"2026-08-15T21:03:13.585848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.571705Z","title":"Attention fusion reverse distillation for multi-lighting image anomaly detection","venue":null,"work_id":"55cbb0d9-6afe-472a-99f0-318e33f616e1","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.276917Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:d60c69f519c6455bda8b1129bf5843ca930001ad7f496a21f03e46fb24e7b324","observation_id":"7e4011a4-3ac1-407d-af73-aabf63eb7a57","resolution":{"observed_at":"2026-08-15T21:03:13.575221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11935","last_updated":"2025-08-10T15:26:51Z","snapshot_observed_at":"2026-08-16T13:33:40.819953Z","submitted_at":"2024-07-16T17:26:34Z","title":"Learning Multi-view Anomaly Detection with Efficient Adaptive Selection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.11935","snapshot_observed_at":"2026-08-15T21:03:13.280399Z","title":"Learning multi-view anomaly detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.280399Z"},"links":{"cited_paper":"/paper/2407.11935","citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:9641118414e52a7b5eb72d55e990a0d9709e37e7f67e711b2136556123c4a0a1","observation_id":"b435dcc2-5c32-43e3-94f4-06272960f8b1","resolution":{"observed_at":"2026-08-15T21:03:13.280399Z","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":"2026-08-15T21:03:13.562046Z","title":"Splatpose & detect: Pose- agnostic 3d anomaly detection","venue":null,"work_id":"26f7aacf-490f-4846-9c7e-eef5167af70a","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.283966Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:46d52b0b2a3365b2b31666ddded707b1da0bdbea2fb25f55fc07386b00ebede2","observation_id":"ec45c4c8-1053-4a11-9113-9a49ebb2020a","resolution":{"observed_at":"2026-08-15T21:03:13.564957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.287548Z","title":"Revisiting reverse distillation for anomaly detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.287548Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:6285e7c40eeb712c4f311c603f61abe07946b8dfd2c962f1b69493dd91b8e0ab","observation_id":"012f8268-3208-4389-8cda-bc0b23597494","resolution":{"observed_at":"2026-08-15T21:03:13.287548Z","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":"2026-08-15T21:03:13.552726Z","title":"Msflow: Multiscale flow-based framework for unsupervised anomaly detection","venue":null,"work_id":"e1d5068f-fab1-42d1-887c-76870cab7bcc","year":2024},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.291330Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:c78c621d66e878fbd5c8afa9fe27c47d485f795b0e7907b96b0ec546deaf14e1","observation_id":"85b95fba-251c-4ab8-9c3d-bda0516717db","resolution":{"observed_at":"2026-08-15T21:03:13.556101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T21:03:13.543396Z","title":"Black Bird","venue":null,"work_id":"2b577075-564d-4bfb-b265-adf065f93587","year":2025},"citing_paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:13.294540Z"},"links":{"citing_paper":"/paper/2505.10996"},"observation_digest":"sha256:5b4f2ce5b562623c5f2d80334ca9ece29b11ebb4776e238e8239487d448145a5","observation_id":"f1d344c8-3887-4f2e-a8aa-83870baffa0e","resolution":{"observed_at":"2026-08-15T21:03:13.546367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.10996","last_updated":"2025-05-16T08:46:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T14:32:06.562620Z","submitted_at":"2025-05-16T08:46:23Z","title":"Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":29},"total_outbound_references":39},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2505.10996."}