{"as_of":"2026-08-09T21:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ce374fe270be38d845d28f1ab70bf6d615604dfc0a57476a0fe23053ce84b1be","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":"2026-08-09T06:31:02.800959+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":"2026-08-04T23:42:39.400684Z","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":"2026-08-04T23:42:43.090042Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.18385","last_updated":"2025-03-24T06:52:28Z","snapshot_observed_at":"2026-08-07T16:42:11.878184Z","submitted_at":"2025-03-24T06:52:28Z","title":"RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data","version":1},"cited_work":{"arxiv_id":"2503.18385","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.18385","snapshot_observed_at":"2026-08-04T23:42:43.090042Z","title":"RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data","venue":"cs.LG","work_id":"6126f0a3-843d-46ec-80c8-1516188a3b7d","year":2025},"citing_paper":{"arxiv_id":"2509.06419","last_updated":"2026-08-03T12:27:15Z","snapshot_observed_at":"2026-08-07T08:35:31.599141Z","submitted_at":"2025-09-08T08:15:12Z","title":"CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T23:42:39.400684Z"},"links":{"cited_paper":"/paper/2503.18385","citing_paper":"/paper/2509.06419"},"observation_digest":"sha256:9b647ac29be5969cd68400833046ee711f8f7ce0aee353bd7a9ca8e3079ba6af","observation_id":"2bdf6d34-deb0-44c6-8b22-834091910497","resolution":{"observed_at":"2026-08-04T23:42:43.094832Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.18385/citation-record","integrity":"/paper/2503.18385/integrity","json":"/paper/2503.18385/citation-record.json","paper":"/paper/2503.18385"},"outbound":[],"paper":{"arxiv_id":"2503.18385","last_updated":"2025-03-24T06:52:28Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:42:11.878184Z","submitted_at":"2025-03-24T06:52:28Z","title":"RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.18385."}