Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unsupervised Representation Learning by Predicting Random Distances
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1912.12186.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:50:25.745271Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T09:44:37.866547Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7f1c2503-e761-4153-99de-6df33c94a571 · inbound
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection cites this paper.
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection Unsupervised Representation Learning by Predicting Random Distances
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:50:25.745271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97d4871e-a981-4d52-bbbd-442a2072ba18 · inbound
CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection cites this paper.
CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection Unsupervised Representation Learning by Predicting Random Distances
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:52:55.685999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33bb2fd2-24a6-4dc1-b1bd-6d564edac156 · inbound
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection cites this paper.
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Unsupervised Representation Learning by Predicting Random Distances
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:50:26.354650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d7af1eb-fa8d-466f-bbac-e52325ec4be7 · inbound
Calibrating Tabular Anomaly Detection via Optimal Transport cites this paper.
Calibrating Tabular Anomaly Detection via Optimal Transport Unsupervised Representation Learning by Predicting Random Distances
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:50:43.049906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4ba1c57a-3488-439c-a754-cc637411ee85 · inbound
RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection cites this paper.
RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Unsupervised Representation Learning by Predicting Random Distances
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:44:37.868059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.