Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.09016.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:37:27.593038Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c205b9da-30d4-44a8-9949-3573b5b248ba · inbound
Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection cites this paper.
Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:25:49.958155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.