{"as_of":"2026-08-06T19:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f32ee914a4fa7cfe9eb66394b8e8dffa1b95b07dfe542a729ed848815df6b4d4","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:52:55.685999Z","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":"2026-06-30T09:44:37.866547Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.12186","last_updated":"2020-07-19T11:57:46Z","snapshot_observed_at":"2026-07-06T08:47:13.959253Z","submitted_at":"2019-12-22T05:09:11Z","title":"Unsupervised Representation Learning by Predicting Random Distances","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.12186","snapshot_observed_at":"2026-08-05T15:52:55.685999Z","title":"Unsupervised representation learning by predicting random distances,","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2508.19450","last_updated":"2025-08-26T21:55:26Z","snapshot_observed_at":"2026-08-05T15:52:54.642400Z","submitted_at":"2025-08-26T21:55:26Z","title":"CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T15:52:55.685999Z"},"links":{"cited_paper":"/paper/1912.12186","citing_paper":"/paper/2508.19450"},"observation_digest":"sha256:a8fdd29dd3c2f1fddca87325a9688e927472020f9b82e71eb7c38b1990c16a09","observation_id":"97d4871e-a981-4d52-bbbd-442a2072ba18","resolution":{"observed_at":"2026-08-05T15:52:55.685999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12186","last_updated":"2020-07-19T11:57:46Z","snapshot_observed_at":"2026-07-06T08:47:13.959253Z","submitted_at":"2019-12-22T05:09:11Z","title":"Unsupervised Representation Learning by Predicting Random Distances","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.12186","snapshot_observed_at":"2026-08-04T12:50:26.354650Z","title":"Unsupervised representation learning by predicting random distances","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2510.02060","last_updated":"2026-05-28T23:39:33Z","snapshot_observed_at":"2026-08-04T12:50:20.611667Z","submitted_at":"2025-10-02T14:28:45Z","title":"ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-04T12:50:26.354650Z"},"links":{"cited_paper":"/paper/1912.12186","citing_paper":"/paper/2510.02060"},"observation_digest":"sha256:92c5d5916766d5f961b04e37ff95048afd3fd109210136025490c6ee6e5f7617","observation_id":"33bb2fd2-24a6-4dc1-b1bd-6d564edac156","resolution":{"observed_at":"2026-08-04T12:50:26.354650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12186","last_updated":"2020-07-19T11:57:46Z","snapshot_observed_at":"2026-07-06T08:47:13.959253Z","submitted_at":"2019-12-22T05:09:11Z","title":"Unsupervised Representation Learning by Predicting Random Distances","version":2},"cited_work":{"arxiv_id":"1912.12186","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1912.12186","snapshot_observed_at":"2026-06-30T09:44:37.866547Z","title":"Unsupervised representation learning by predicting random distances.arXiv preprint arXiv:1912.12186,","venue":null,"work_id":"48996f1d-e27b-4fa4-861d-84827bfa40ff","year":1912},"citing_paper":{"arxiv_id":"2602.06810","last_updated":"2026-05-06T03:27:02Z","snapshot_observed_at":"2026-07-06T22:44:51.126114Z","submitted_at":"2026-02-06T15:58:22Z","title":"Calibrating Tabular Anomaly Detection via Optimal Transport","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-16T06:48:30.264064Z"},"links":{"cited_paper":"/paper/1912.12186","citing_paper":"/paper/2602.06810"},"observation_digest":"sha256:fb33aacff2e9800e7eb2e971695e6f7988854b53ac9bd448e44fccb0190bec97","observation_id":"1d7af1eb-fa8d-466f-bbac-e52325ec4be7","resolution":{"observed_at":"2026-05-16T06:50:43.049906Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12186","last_updated":"2020-07-19T11:57:46Z","snapshot_observed_at":"2026-07-06T08:47:13.959253Z","submitted_at":"2019-12-22T05:09:11Z","title":"Unsupervised Representation Learning by Predicting Random Distances","version":2},"cited_work":{"arxiv_id":"1912.12186","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1912.12186","snapshot_observed_at":"2026-06-30T09:44:37.866547Z","title":"Unsupervised representation learning by predicting random distances.arXiv preprint arXiv:1912.12186,","venue":null,"work_id":"48996f1d-e27b-4fa4-861d-84827bfa40ff","year":1912},"citing_paper":{"arxiv_id":"2606.28970","last_updated":"2026-06-27T15:20:09Z","snapshot_observed_at":"2026-07-07T00:02:57.622708Z","submitted_at":"2026-06-27T15:20:09Z","title":"RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T09:36:44.053417Z"},"links":{"cited_paper":"/paper/1912.12186","citing_paper":"/paper/2606.28970"},"observation_digest":"sha256:b31e2246ba1c80177dfd718fc3ea3de9478d11779f16b687de1df99e3dbc9996","observation_id":"4ba1c57a-3488-439c-a754-cc637411ee85","resolution":{"observed_at":"2026-06-30T09:44:37.868059Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1912.12186/citation-record","integrity":"/paper/1912.12186/integrity","json":"/paper/1912.12186/citation-record.json","paper":"/paper/1912.12186"},"outbound":[],"paper":{"arxiv_id":"1912.12186","last_updated":"2020-07-19T11:57:46Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T08:47:13.959253Z","submitted_at":"2019-12-22T05:09:11Z","title":"Unsupervised Representation Learning by Predicting Random Distances"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.12186."}