Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.08977.
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 2026-08-05T22:22:48.944441Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T00:16:16.768632Z
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 a25b274b-6226-4614-b3b3-833b62815db6 · inbound
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework cites this paper.
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T22:22:49.046129Z
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.