Paper Citation Record · LEDGER

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2502.05428.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.05428 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:26:48.604185Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy18
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e214d979-6c6f-4514-936a-115dd2fc5b1e · outbound

This paper cites Online Anomaly Detection for Aeroengine Gas Path Based on Piecewise Linear Representation and Support Vector Data Description,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Online Anomaly Detection for Aeroengine Gas Path Based on Piecewise Linear Representation and Support Vector Data Description,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.879696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7d09409-7d5a-47df-8bd3-ab5e6c26846c · outbound

This paper cites A Multimode Anomaly Detection Method Based on OC-ELM for Aircraft Engine System,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder A Multimode Anomaly Detection Method Based on OC-ELM for Aircraft Engine System,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.867072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b55df7f1-3e2e-4861-92db-93f656519286 · outbound

This paper cites A New Method for Fault Detection of Aero-engine Based on Isolation Forest,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder A New Method for Fault Detection of Aero-engine Based on Isolation Forest,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.854434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bd10ad2-6930-4ef2-9c20-38aa1708b4c7 · outbound

This paper cites Prediction In- terval Estimation of Aeroengine Remaining Useful Life Based on Bidirectional Long Short-term Memory Network,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Prediction In- terval Estimation of Aeroengine Remaining Useful Life Based on Bidirectional Long Short-term Memory Network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.841682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c93186f8-444e-4829-8b3f-8aafd22bd442 · outbound

This paper cites An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder An Intelligent Fault Diagnosis Method Based on Domain Adaptation and Its Application for Bearings Under Polytropic Working Conditions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.829040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4775034-9d9f-4193-84d0-8229c0a479e8 · outbound

This paper cites Gas Turbine Aero- engines Real-time On-board Modelling: A Review, Research Chal- lenges, and Exploring the Future,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Gas Turbine Aero- engines Real-time On-board Modelling: A Review, Research Chal- lenges, and Exploring the Future,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.815351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd851b1d-567e-4dcc-85ce-e366f8869fff · outbound

This paper cites Aero-engine Health Moni- toring, Diagnostics and Prognostics for Condition-based Maintenance: An Overview,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Aero-engine Health Moni- toring, Diagnostics and Prognostics for Condition-based Maintenance: An Overview,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.802642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b954e28e-5363-4b30-a983-a946c44f734d · outbound

This paper cites an unresolved cited work.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:26:48.790334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d04b4e2-602e-4d0e-8d70-e79faefd5435 · outbound

This paper cites Deep Learning and Its Applications to Machine Health Monitoring,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Deep Learning and Its Applications to Machine Health Monitoring,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.778418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fc1b58f-f478-4d51-96c7-5f595046e957 · outbound

This paper cites A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.766390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf30f5dc-af1f-4991-b385-e116e2075a29 · outbound

This paper cites an unresolved cited work.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:26:48.754886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3750e9ab-b08f-4529-a051-1a61625a34fc · outbound

This paper cites Multivariate Time-series Anomaly Detection Using SeqV AE-CNN Hybrid Model,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Multivariate Time-series Anomaly Detection Using SeqV AE-CNN Hybrid Model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.743399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b59de91a-26c0-482f-b047-d9ff04febeff · outbound

This paper cites Anomaly Detection for Time Series Using V AE-LSTM Hybrid Model,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Anomaly Detection for Time Series Using V AE-LSTM Hybrid Model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.730621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ab4be17-d97e-4f83-86e7-fadc1d6b3ecc · outbound

This paper cites Anomaly V AE-Transformer: A Deep Learning Approach for Anomaly Detection in Decentralized Finance,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Anomaly V AE-Transformer: A Deep Learning Approach for Anomaly Detection in Decentralized Finance,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.717884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 408a245d-54fc-4226-9e99-20f901e3e1d4 · outbound

This paper cites Fisher Auto- Encoders,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Fisher Auto- Encoders,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.704500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86d0edd8-6184-4eeb-a4fe-232c94c84785 · outbound

This paper cites Mixture- of-experts Variational Autoencoder for Clustering and Generating from Similarity-based Representations on Single Cell Data,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Mixture- of-experts Variational Autoencoder for Clustering and Generating from Similarity-based Representations on Single Cell Data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.690150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aad9b332-5ff7-49f6-8b61-cd4b6a10dbb7 · outbound

This paper cites Stacked Fisher Autoencoder for SAR Change Detection,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Stacked Fisher Autoencoder for SAR Change Detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.677138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4572004-9553-4151-83dc-f083e0dbcb49 · outbound

This paper cites Application of the Sys- tematic Sensor Selection Strategy for Turbofan Engine Diagnostics,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Application of the Sys- tematic Sensor Selection Strategy for Turbofan Engine Diagnostics,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.663464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b24a63d2-61e9-4e85-8ce0-c260362fbb24 · outbound

This paper cites Gradient Information for Rep- resentation and Modeling,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Gradient Information for Rep- resentation and Modeling,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.650389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51e6c6a5-d21c-4d8d-be14-8e2efbb3ea1e · outbound

This paper cites Damage Propaga- tion Modeling for Aircraft Engine Run-to-failure Simulation,.

Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder Damage Propaga- tion Modeling for Aircraft Engine Run-to-failure Simulation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:26:48.636828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.