{"as_of":"2026-08-21T04:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b55b48bfa53cb8267909ae19bbd8c30148f5da641f63ae96477a4d0915646e24","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:06:12.797375Z","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":"2026-05-16T22:01:17.967692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2007.01760","last_updated":"2021-03-18T10:35:33Z","snapshot_observed_at":"2026-08-06T00:05:32.412150Z","submitted_at":"2020-07-03T15:29:06Z","title":"Explainable Deep One-Class Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01760","snapshot_observed_at":"2026-08-11T15:19:35.770987Z","title":"arXiv preprint arXiv:2007.01760 (2020) 10","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.11148","last_updated":"2024-12-15T10:47:09Z","snapshot_observed_at":"2026-08-17T08:29:29.768965Z","submitted_at":"2024-12-15T10:47:09Z","title":"Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T15:19:35.770987Z"},"links":{"cited_paper":"/paper/2007.01760","citing_paper":"/paper/2412.11148"},"observation_digest":"sha256:b718f4be08518ab1800a54bc675a84d78909842b55b2632d91621c282a989eb3","observation_id":"737ce4b3-f34e-4481-a25f-7f40e0f121a8","resolution":{"observed_at":"2026-08-11T15:19:35.770987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01760","last_updated":"2021-03-18T10:35:33Z","snapshot_observed_at":"2026-08-06T00:05:32.412150Z","submitted_at":"2020-07-03T15:29:06Z","title":"Explainable Deep One-Class Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01760","snapshot_observed_at":"2026-08-10T21:00:03.570447Z","title":"A.; Franks, B","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.06685","last_updated":"2025-01-12T02:24:55Z","snapshot_observed_at":"2026-08-20T05:45:11.860761Z","submitted_at":"2025-01-12T02:24:55Z","title":"Tab-Shapley: Identifying Top-k Tabular Data Quality Insights","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T21:00:03.570447Z"},"links":{"cited_paper":"/paper/2007.01760","citing_paper":"/paper/2501.06685"},"observation_digest":"sha256:2eeb2aa68c5ed9e7cfed98c64db22ccf48478ee9748b384f14669ac3b374fef8","observation_id":"91d06da3-e301-4d52-81d2-b7db9d97d509","resolution":{"observed_at":"2026-08-10T21:00:03.570447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01760","last_updated":"2021-03-18T10:35:33Z","snapshot_observed_at":"2026-08-06T00:05:32.412150Z","submitted_at":"2020-07-03T15:29:06Z","title":"Explainable Deep One-Class Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01760","snapshot_observed_at":"2026-08-06T12:34:00.572895Z","title":"Explainable deep one-class classification,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2507.21649","last_updated":"2025-07-29T10:07:24Z","snapshot_observed_at":"2026-08-10T03:49:04.165126Z","submitted_at":"2025-07-29T10:07:24Z","title":"The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM","version":1},"reference_index":124,"source":"pdf_text","source_observed_at":"2026-08-06T12:34:00.572895Z"},"links":{"cited_paper":"/paper/2007.01760","citing_paper":"/paper/2507.21649"},"observation_digest":"sha256:080a78939230fc84f9e9d605b5a5976339405d83190e611a398d9b4a843c2eed","observation_id":"3e73ea83-7af3-404d-b701-21984595c162","resolution":{"observed_at":"2026-08-06T12:34:00.572895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01760","last_updated":"2021-03-18T10:35:33Z","snapshot_observed_at":"2026-08-06T00:05:32.412150Z","submitted_at":"2020-07-03T15:29:06Z","title":"Explainable Deep One-Class Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01760","snapshot_observed_at":"2026-08-15T17:06:12.797375Z","title":"Explainable deep one-class classification","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2508.17726","last_updated":"2025-08-25T07:07:35Z","snapshot_observed_at":"2026-08-15T16:58:39.481276Z","submitted_at":"2025-08-25T07:07:35Z","title":"Few-shot Human Action Anomaly Detection via a Unified Contrastive Learning Framework","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T17:06:12.797375Z"},"links":{"cited_paper":"/paper/2007.01760","citing_paper":"/paper/2508.17726"},"observation_digest":"sha256:c914fa7985c7e87096d85208171337fd435d4b741839851948c3bf9500792158","observation_id":"78b0232f-4531-46ed-a533-e2cc1bec8ab5","resolution":{"observed_at":"2026-08-15T17:06:12.797375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01760","last_updated":"2021-03-18T10:35:33Z","snapshot_observed_at":"2026-08-06T00:05:32.412150Z","submitted_at":"2020-07-03T15:29:06Z","title":"Explainable Deep One-Class Classification","version":3},"cited_work":{"arxiv_id":"2007.01760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2007.01760","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Explainable deep one-class classification","venue":null,"work_id":"332e8568-7551-442c-8105-3e96bdd680d1","year":2007},"citing_paper":{"arxiv_id":"2512.13671","last_updated":"2026-04-14T17:48:11Z","snapshot_observed_at":"2026-08-20T01:41:42.265157Z","submitted_at":"2025-12-15T18:57:04Z","title":"AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-16T21:58:58.999285Z"},"links":{"cited_paper":"/paper/2007.01760","citing_paper":"/paper/2512.13671"},"observation_digest":"sha256:a3bbba3879bef8eef03679a0ffe91f0488f2eca9428640ac1e466eb17f0a9199","observation_id":"4045ef78-6460-43fd-806c-03b8cc12c453","resolution":{"observed_at":"2026-05-16T22:01:17.969197Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01760","last_updated":"2021-03-18T10:35:33Z","snapshot_observed_at":"2026-08-06T00:05:32.412150Z","submitted_at":"2020-07-03T15:29:06Z","title":"Explainable Deep One-Class Classification","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01760","snapshot_observed_at":"2026-08-01T04:39:41.299406Z","title":"arXiv preprint arXiv:2007.01760 , year=","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.27615","last_updated":"2026-07-30T03:08:49Z","snapshot_observed_at":"2026-08-16T07:53:31.720382Z","submitted_at":"2026-07-30T03:08:49Z","title":"CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-01T04:39:41.299406Z"},"links":{"cited_paper":"/paper/2007.01760","citing_paper":"/paper/2607.27615"},"observation_digest":"sha256:b133b9823138bf3aa16c483c537c45934cf89bf6c02c09f720f6fb9a239e0f01","observation_id":"6e916004-fd98-420c-baae-874cd78f62a1","resolution":{"observed_at":"2026-08-01T04:39:41.299406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2007.01760/citation-record","integrity":"/paper/2007.01760/integrity","json":"/paper/2007.01760/citation-record.json","paper":"/paper/2007.01760"},"outbound":[],"paper":{"arxiv_id":"2007.01760","last_updated":"2021-03-18T10:35:33Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T00:05:32.412150Z","submitted_at":"2020-07-03T15:29:06Z","title":"Explainable Deep One-Class Classification"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2007.01760."}