{"as_of":"2026-08-21T17:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:445cafa9aca2c2c493aab23285267d413e8ebcf55c0a0ca78385660006bda856","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:15:32.625999Z","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":"2026-06-29T17:33:45.430497Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1904.00152","last_updated":"2019-12-24T22:44:25Z","snapshot_observed_at":"2026-08-14T16:54:26.630464Z","submitted_at":"2019-03-30T05:30:54Z","title":"Robust Subspace Recovery Layer for Unsupervised Anomaly Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.00152","snapshot_observed_at":"2026-08-07T14:15:32.625999Z","title":"Robust subspace recovery layer for unsupervised anomaly detection,","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.19568","last_updated":"2025-05-26T06:32:02Z","snapshot_observed_at":"2026-08-15T01:24:52.387922Z","submitted_at":"2025-05-26T06:32:02Z","title":"MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:15:32.625999Z"},"links":{"cited_paper":"/paper/1904.00152","citing_paper":"/paper/2505.19568"},"observation_digest":"sha256:77b0e3248112e068b0ccd32a4f5d73fe1d359e947220e23221bc3bf8c612ea86","observation_id":"0fa56359-2e69-44f1-9fcd-ec256cc40d3e","resolution":{"observed_at":"2026-08-07T14:15:32.625999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.00152","last_updated":"2019-12-24T22:44:25Z","snapshot_observed_at":"2026-08-14T16:54:26.630464Z","submitted_at":"2019-03-30T05:30:54Z","title":"Robust Subspace Recovery Layer for Unsupervised Anomaly Detection","version":2},"cited_work":{"arxiv_id":"1904.00152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.00152","snapshot_observed_at":"2026-06-29T17:33:45.430497Z","title":"Robust subspace recovery layer for unsupervised anomaly detection","venue":null,"work_id":"c6a40f67-b308-4e29-8345-8cbbe06f45bf","year":2019},"citing_paper":{"arxiv_id":"2604.14726","last_updated":"2026-04-21T03:27:44Z","snapshot_observed_at":"2026-08-13T15:08:16.626116Z","submitted_at":"2026-04-16T07:37:59Z","title":"Catching Every Ripple: Enhanced Anomaly Awareness via Dynamic Concept Adaptation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T12:32:44.298386Z"},"links":{"cited_paper":"/paper/1904.00152","citing_paper":"/paper/2604.14726"},"observation_digest":"sha256:a89d91e6af0e897556e4f14dac181aa5f8f52b2b69e5948440b4c4c3068dd454","observation_id":"d9f5659d-2015-48d4-9e3f-f85e5075483e","resolution":{"observed_at":"2026-05-11T11:51:00.809047Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.00152","last_updated":"2019-12-24T22:44:25Z","snapshot_observed_at":"2026-08-14T16:54:26.630464Z","submitted_at":"2019-03-30T05:30:54Z","title":"Robust Subspace Recovery Layer for Unsupervised Anomaly Detection","version":2},"cited_work":{"arxiv_id":"1904.00152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1904.00152","snapshot_observed_at":"2026-06-29T17:33:45.430497Z","title":"Robust subspace recovery layer for unsupervised anomaly detection","venue":null,"work_id":"c6a40f67-b308-4e29-8345-8cbbe06f45bf","year":2019},"citing_paper":{"arxiv_id":"2605.27148","last_updated":"2026-06-01T21:00:09Z","snapshot_observed_at":"2026-08-15T23:21:15.081148Z","submitted_at":"2026-05-26T15:10:35Z","title":"Landseer: Exploring the Machine Learning Defense Landscape","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-29T17:27:29.241219Z"},"links":{"cited_paper":"/paper/1904.00152","citing_paper":"/paper/2605.27148"},"observation_digest":"sha256:21b6feef460a5ec62c4e9d48c84bc9df6f679dd3996a18a6604fec5d44a5865f","observation_id":"6c924539-d8b4-4f93-bb84-d21288bd4d44","resolution":{"observed_at":"2026-06-29T17:33:45.431969Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1904.00152/citation-record","integrity":"/paper/1904.00152/integrity","json":"/paper/1904.00152/citation-record.json","paper":"/paper/1904.00152"},"outbound":[],"paper":{"arxiv_id":"1904.00152","last_updated":"2019-12-24T22:44:25Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T16:54:26.630464Z","submitted_at":"2019-03-30T05:30:54Z","title":"Robust Subspace Recovery Layer for Unsupervised 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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.00152."}