Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.02968.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:01:04.067949Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T18:12:16.202812Z
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 0edd2ba3-14f6-4fba-8a2a-12acfc4aa6da · inbound
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming cites this paper.
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:01:04.067949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d538176-73a1-47fb-897f-9e25e299c604 · inbound
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection cites this paper.
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantization
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:12:16.209734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.