Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1905.13628.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:38:38.816466Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T13:25:56.111024Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7d16476a-b815-4f21-aeb2-c56202158b88 · inbound
Time Series Based Network Intrusion Detection using MTF-Aided Transformer Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad7ae1e8-1018-4edb-b79a-ac754208449d · inbound
Prediction of EDS Maps from 4DSTEM Diffraction Patterns Using Convolutional Neural Networks Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a9e365f-6706-4931-83fc-9976b3afae5f · inbound
Text Reinforcement for Multimodal Time Series Forecasting Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3bc95668-6e26-432e-8e32-e7358b17f776 · inbound
MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.