{"as_of":"2026-08-14T16:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:da6de7b99d7ad4406997eca7beb264c359c9704af0ec79668d66ceda1213d319","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":"2026-08-14T06:32:32.682623+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":"2026-08-12T19:23:08.062219Z","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":"2026-08-12T19:23:08.286356Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.08793","last_updated":"2023-01-30T07:02:33Z","snapshot_observed_at":"2026-08-13T19:20:21.112223Z","submitted_at":"2021-05-18T19:27:02Z","title":"Masked Contrastive Learning for Anomaly Detection","version":2},"cited_work":{"arxiv_id":"2105.08793","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.08793","snapshot_observed_at":"2026-08-12T19:23:08.286356Z","title":"Masked Contrastive Learning for Anomaly Detection","venue":"cs.LG","work_id":"684ed3fe-94a7-4172-9e8e-0631121e4231","year":2021},"citing_paper":{"arxiv_id":"2412.00020","last_updated":"2024-11-16T11:30:53Z","snapshot_observed_at":"2026-08-12T19:16:54.992564Z","submitted_at":"2024-11-16T11:30:53Z","title":"Partitioning Message Passing for Graph Fraud Detection","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-12T19:23:08.062219Z"},"links":{"cited_paper":"/paper/2105.08793","citing_paper":"/paper/2412.00020"},"observation_digest":"sha256:19166439599c3c450a0e4aff80188e4a8f349b9e3f50bc9fa5b64c856e23d03f","observation_id":"df7bcc5a-67d6-40c6-b2bb-c015ef0a3d57","resolution":{"observed_at":"2026-08-12T19:23:08.292247Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2105.08793/citation-record","integrity":"/paper/2105.08793/integrity","json":"/paper/2105.08793/citation-record.json","paper":"/paper/2105.08793"},"outbound":[],"paper":{"arxiv_id":"2105.08793","last_updated":"2023-01-30T07:02:33Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T19:20:21.112223Z","submitted_at":"2021-05-18T19:27:02Z","title":"Masked Contrastive Learning for 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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2105.08793."}