Paper Citation Record · LEDGER

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM)

As of 13 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.16422.

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

pith.paper-citation-record.v1
2411.16422 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:11:35.699904Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 fuzzy15
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af1c29f5-c470-446d-a67e-07fd8744e660 · outbound

This paper cites Degradation modeling and remaining useful life prediction of aircraft engines using ensemble learning,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Degradation modeling and remaining useful life prediction of aircraft engines using ensemble learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:36.050272Z

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.

Observation 178466ef-4330-446c-abc3-ee56d7c623cc · outbound

This paper cites Lstm-based approach for remaining useful life prediction of air craft engines,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Lstm-based approach for remaining useful life prediction of air craft engines,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:36.034827Z

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.

Observation 2fba8079-31d3-4702-a186-26f84936b265 · outbound

This paper cites Remaining useful life prediction of an aircraft turbofan engine using deep layer recurrent neural networks,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Remaining useful life prediction of an aircraft turbofan engine using deep layer recurrent neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:36.018476Z

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.

Observation 4ece96e3-5331-4af6-a74c-b300a951bf6d · outbound

This paper cites Developing deep learning models for system remaining useful life predictions: Application to aircraft engines,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Developing deep learning models for system remaining useful life predictions: Application to aircraft engines,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:36.000306Z

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.

Observation b9ae2ea2-a1dc-42a8-879f-119d6b72d1ed · outbound

This paper cites A deep learning model for remaining useful life prediction of aircraft turbofan engine on c-mapss dataset,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) A deep learning model for remaining useful life prediction of aircraft turbofan engine on c-mapss dataset,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.983055Z

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.

Observation 1ed05d91-881f-4d62-8316-5f1702500b16 · outbound

This paper cites Remaining useful life prediction for aircraft engines using lstm,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Remaining useful life prediction for aircraft engines using lstm,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.966637Z

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.

Observation 5001d390-5d99-4194-8d0e-2e2e5c878191 · outbound

This paper cites Application of relevance vector machine and survival probability to machine degradation assessment,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Application of relevance vector machine and survival probability to machine degradation assessment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.950862Z

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.

Observation 8b420fd8-cf21-4e2b-be24-9b9f63abccc7 · outbound

This paper cites An aero-engine remaining useful life prediction model based on feature selection and the improved tcn,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) An aero-engine remaining useful life prediction model based on feature selection and the improved tcn,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.933947Z

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.

Observation 589fea98-45fd-4895-89af-90bb598d0e7d · outbound

This paper cites Predicting the remaining useful life of an aircraft engine using a stacked sparse autoencoder with multilayer self-learning,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Predicting the remaining useful life of an aircraft engine using a stacked sparse autoencoder with multilayer self-learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.916922Z

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.

Observation 35157ad0-9b8f-4856-b5ad-4ae72fa64e6e · outbound

This paper cites Remaining useful life estima- tion of turbofan engines with deep learning using change-point detection based labeling and feature engineering,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Remaining useful life estima- tion of turbofan engines with deep learning using change-point detection based labeling and feature engineering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.900442Z

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.

Observation 77c3f4d8-846b-491a-9dbc-029d9ffbbc71 · outbound

This paper cites Helfrich.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Helfrich

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.884405Z

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.

Observation 4cd924fc-053b-47de-8065-8bcc4cd4dadf · outbound

This paper cites an unresolved cited work.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:11:35.868607Z

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.

Observation aa14cf6a-742a-455f-b28e-f3ecf1455b67 · outbound

This paper cites an unresolved cited work.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:11:35.852299Z

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.

Observation 5070b3c8-fa30-46cf-88ba-0408b97b0157 · outbound

This paper cites Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.836784Z

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.

Observation e6f0d38a-1ab4-4d50-ba69-5f0082587673 · outbound

This paper cites an unresolved cited work.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:11:35.820223Z

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.

Observation 25f0e03a-1520-4d75-9512-e23d79fa2021 · outbound

This paper cites Hybrid speech recognition with deep bidirectional lstm,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Hybrid speech recognition with deep bidirectional lstm,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.802930Z

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.

Observation ea4889a9-d765-46fa-b38e-cb31dc2ad86f · outbound

This paper cites an unresolved cited work.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:11:35.786966Z

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.

Observation 7190e96c-a7cb-4652-90ca-2ace5cea50fb · outbound

This paper cites an unresolved cited work.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:11:35.771734Z

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.

Observation 59bbd495-4be4-4e9e-8590-58ebb24afd95 · outbound

This paper cites Hyperpa- rameter optimization of lstm network models through genetic algorithm,.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Hyperpa- rameter optimization of lstm network models through genetic algorithm,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.755237Z

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.

Observation e1437e06-25e1-4242-a186-db3dfb162b6b · outbound

This paper cites Srivastava.

Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM) Srivastava

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:35.738353Z

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.

Pith citing papers

No inbound Pith citation observations are available.