{"as_of":"2026-08-17T00:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:898b82dab90ab497b45cf4ae1350720ca5e0e8acbe730be2f7cb0507185c2285","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":"2026-08-14T14:00:10.914327Z","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":"2026-08-14T14:00:10.974864Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1902.06351","last_updated":"2019-02-17T23:46:12Z","snapshot_observed_at":"2026-08-14T17:15:13.246079Z","submitted_at":"2019-02-17T23:46:12Z","title":"A feature-based framework for detecting technical outliers in water-quality data from in situ sensors","version":1},"cited_work":{"arxiv_id":"1902.06351","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.06351","snapshot_observed_at":"2026-08-14T14:00:10.974864Z","title":"A feature-based framework for detecting technical outliers in water-quality data from in situ sensors","venue":"stat.AP","work_id":"aea9c4b0-a05f-4f60-8dc5-d8744328c1a6","year":2019},"citing_paper":{"arxiv_id":"1908.04000","last_updated":"2019-08-12T04:48:03Z","snapshot_observed_at":"2026-08-16T06:09:47.492235Z","submitted_at":"2019-08-12T04:48:03Z","title":"Anomaly Detection in High Dimensional Data","version":1},"reference_index":209,"source":"pdf_text","source_observed_at":"2026-08-14T14:00:10.914327Z"},"links":{"cited_paper":"/paper/1902.06351","citing_paper":"/paper/1908.04000"},"observation_digest":"sha256:2b24547e9bd7e20f6d74ded6c686a0c13cf0aeda381f1ef39fefa34986340ecd","observation_id":"79365f64-3832-4671-8242-bb448d67abd9","resolution":{"observed_at":"2026-08-14T14:00:10.982848Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/1902.06351/citation-record","integrity":"/paper/1902.06351/integrity","json":"/paper/1902.06351/citation-record.json","paper":"/paper/1902.06351"},"outbound":[],"paper":{"arxiv_id":"1902.06351","last_updated":"2019-02-17T23:46:12Z","latest_version":1,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-14T17:15:13.246079Z","submitted_at":"2019-02-17T23:46:12Z","title":"A feature-based framework for detecting technical outliers in water-quality data from in situ sensors"},"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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1902.06351."}