{"as_of":"2026-08-12T18:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cec277b04abf84731acc48cefa7d271ec408ef7d457d9340b68fed08aba68415","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:07:34.771217Z","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":"2026-05-10T03:29:21.627450Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.07068","last_updated":"2023-09-13T16:28:43Z","snapshot_observed_at":"2026-07-06T16:18:02.515899Z","submitted_at":"2023-09-13T16:28:43Z","title":"FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07068","snapshot_observed_at":"2026-08-11T22:07:34.771217Z","title":"Fair: Frequency-aware image restoration for industrial visual anomaly detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03829","last_updated":"2024-12-05T02:44:45Z","snapshot_observed_at":"2026-08-11T21:59:53.600050Z","submitted_at":"2024-12-05T02:44:45Z","title":"CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T22:07:34.771217Z"},"links":{"cited_paper":"/paper/2309.07068","citing_paper":"/paper/2412.03829"},"observation_digest":"sha256:0a1b5b45ae0c48b7247980b647110497e55b64bf252814d970fa56974b0adaaa","observation_id":"aeff1e8b-6a2f-43fd-9e55-fb401c941f88","resolution":{"observed_at":"2026-08-11T22:07:34.771217Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07068","last_updated":"2023-09-13T16:28:43Z","snapshot_observed_at":"2026-07-06T16:18:02.515899Z","submitted_at":"2023-09-13T16:28:43Z","title":"FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07068","snapshot_observed_at":"2026-08-11T18:48:34.873332Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07579","last_updated":"2024-12-10T15:14:09Z","snapshot_observed_at":"2026-08-11T18:39:41.197710Z","submitted_at":"2024-12-10T15:14:09Z","title":"Unlocking the Potential of Reverse Distillation for Anomaly Detection","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T18:48:34.873332Z"},"links":{"cited_paper":"/paper/2309.07068","citing_paper":"/paper/2412.07579"},"observation_digest":"sha256:717c8d43d5ee136edc840e527d65ec8cb33305651de3d3f0c77f3ffcb20b0a2d","observation_id":"f91500d6-af02-4e3a-86e9-dfbfeb69e148","resolution":{"observed_at":"2026-08-11T18:48:34.873332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07068","last_updated":"2023-09-13T16:28:43Z","snapshot_observed_at":"2026-07-06T16:18:02.515899Z","submitted_at":"2023-09-13T16:28:43Z","title":"FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07068","snapshot_observed_at":"2026-08-06T11:41:15.129073Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.22501","last_updated":"2025-07-30T09:16:07Z","snapshot_observed_at":"2026-08-06T11:41:09.327458Z","submitted_at":"2025-07-30T09:16:07Z","title":"DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T11:41:15.129073Z"},"links":{"cited_paper":"/paper/2309.07068","citing_paper":"/paper/2507.22501"},"observation_digest":"sha256:a88306567f1c548808373bf51d9f9a9bc944382b75aba09c80cc754619447ac4","observation_id":"9414506a-84f1-4f67-bb85-da2c79a4a96e","resolution":{"observed_at":"2026-08-06T11:41:15.129073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07068","last_updated":"2023-09-13T16:28:43Z","snapshot_observed_at":"2026-07-06T16:18:02.515899Z","submitted_at":"2023-09-13T16:28:43Z","title":"FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07068","snapshot_observed_at":"2026-08-05T11:56:37.397405Z","title":"FAIR: Frequency-Aware Image Restoration for Industrial Visual Anomaly Detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02101","last_updated":"2025-09-02T08:58:39Z","snapshot_observed_at":"2026-08-09T20:41:57.084378Z","submitted_at":"2025-09-02T08:58:39Z","title":"SALAD -- Semantics-Aware Logical Anomaly Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:56:37.397405Z"},"links":{"cited_paper":"/paper/2309.07068","citing_paper":"/paper/2509.02101"},"observation_digest":"sha256:5cfe70e02f0b8fcfbb2c74ee12e50a47ddb7e2d58f153b822cddcac4af9eddc4","observation_id":"9b7adf48-8280-4454-bcf6-50220915da5b","resolution":{"observed_at":"2026-08-05T11:56:37.397405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07068","last_updated":"2023-09-13T16:28:43Z","snapshot_observed_at":"2026-07-06T16:18:02.515899Z","submitted_at":"2023-09-13T16:28:43Z","title":"FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection","version":1},"cited_work":{"arxiv_id":"2309.07068","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.07068","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"FAIR: Frequency-aware image restoration for indus- trial visual anomaly detection","venue":null,"work_id":"c34d8a40-c05b-456f-af75-a528901fefa7","year":2023},"citing_paper":{"arxiv_id":"2604.19259","last_updated":"2026-04-21T09:20:55Z","snapshot_observed_at":"2026-08-11T19:24:19.393166Z","submitted_at":"2026-04-21T09:20:55Z","title":"Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T03:28:11.747826Z"},"links":{"cited_paper":"/paper/2309.07068","citing_paper":"/paper/2604.19259"},"observation_digest":"sha256:e10c708a4a42bc5910061b125e53d1b7204d11f9e718c54bf20031bb6b9ce0ae","observation_id":"16dbe899-628f-4fbd-943e-43e08f8e5e3b","resolution":{"observed_at":"2026-05-10T03:29:21.628847Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.07068/citation-record","integrity":"/paper/2309.07068/integrity","json":"/paper/2309.07068/citation-record.json","paper":"/paper/2309.07068"},"outbound":[],"paper":{"arxiv_id":"2309.07068","last_updated":"2023-09-13T16:28:43Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:18:02.515899Z","submitted_at":"2023-09-13T16:28:43Z","title":"FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly Detection"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.07068."}