Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1709.05254.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:23:33.434056Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T16:56:46.773465Z
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 bdbb43a8-d5a4-4d91-acda-78db830d0941 · inbound
Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach cites this paper.
Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks
Reference 450
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T16:56:46.779231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7bfd0604-d977-4909-bf6a-ca1730247cf2 · inbound
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data cites this paper.
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:23:33.434056Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.