Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.10658.
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 2026-08-16T05:23:33.428258Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T05:21:56.397233Z
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 a6b88990-5680-4609-b956-64266144ec28 · inbound
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data cites this paper.
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:23:33.423895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 204cecf2-8cf2-45af-9a00-cebbdccbc58d · inbound
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data cites this paper.
Tabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:23:33.428258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 327e46cc-75fb-42e0-8ed4-04a60185cc67 · inbound
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking cites this paper.
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T05:21:56.404354Z
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.