{"as_of":"2026-08-16T14:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9c1746aefcd1e080ac0b8ec782648ce32a28f42f461f299e0f77ea1642123afb","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T00:21:38.386506Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T00:21:39.159678Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.03294","last_updated":"2023-04-21T03:00:18Z","snapshot_observed_at":"2026-08-16T09:38:33.087660Z","submitted_at":"2023-04-06T07:05:59Z","title":"What makes a good data augmentation for few-shot unsupervised image anomaly detection?","version":3},"cited_work":{"arxiv_id":"2304.03294","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.03294","snapshot_observed_at":"2026-08-11T00:21:39.159678Z","title":"What makes a good data augmentation for few-shot unsupervised image anomaly detection?","venue":"cs.CV","work_id":"f213fae6-0db0-40cb-9378-144694412082","year":2023},"citing_paper":{"arxiv_id":"2608.07770","last_updated":"2026-08-07T21:31:20Z","snapshot_observed_at":"2026-08-13T23:21:06.523504Z","submitted_at":"2026-08-07T21:31:20Z","title":"From Benchmark Performance to Tool Deployment: Human-in-the-Loop Anomaly Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T00:21:38.386506Z"},"links":{"cited_paper":"/paper/2304.03294","citing_paper":"/paper/2608.07770"},"observation_digest":"sha256:19979ce5f930be3b85510a3bad1f61f615754fd406a5effcc3700123e820fa1b","observation_id":"2d2c9c90-6750-4e51-8abf-fd075f3f5212","resolution":{"observed_at":"2026-08-11T00:21:39.164235Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2304.03294/citation-record","integrity":"/paper/2304.03294/integrity","json":"/paper/2304.03294/citation-record.json","paper":"/paper/2304.03294"},"outbound":[],"paper":{"arxiv_id":"2304.03294","last_updated":"2023-04-21T03:00:18Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T09:38:33.087660Z","submitted_at":"2023-04-06T07:05:59Z","title":"What makes a good data augmentation for few-shot unsupervised image 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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2304.03294."}