Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Variational Autoencoder for Anomaly Detection: A Comparative Study
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.13561.
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 2026-08-16T04:21:49.173134Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T11:58:06.037405Z
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 54c4a5ed-3b8f-4b45-89c4-945cd26dd1ac · inbound
Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition cites this paper.
Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition Variational Autoencoder for Anomaly Detection: A Comparative Study
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:21:49.173134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72093ea8-f82e-4b31-abfa-d6ba27d6e0b7 · inbound
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection cites this paper.
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection Variational Autoencoder for Anomaly Detection: A Comparative Study
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:55:41.516189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 461b61a7-b248-4e58-ba58-6725c8a8a1b5 · inbound
Bounding Distributional Shifts in World Modeling through Novelty Detection cites this paper.
Bounding Distributional Shifts in World Modeling through Novelty Detection Variational Autoencoder for Anomaly Detection: A Comparative Study
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:58:42.155024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b96cb706-8e80-4fa8-be22-dd1bcce3c8e3 · inbound
SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT cites this paper.
SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT Variational Autoencoder for Anomaly Detection: A Comparative Study
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T11:58:06.038896Z
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.