Paper Citation Record · LEDGER

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.08368.

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

pith.paper-citation-record.v1
1908.08368 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:44:46.503688Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy26
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6379e354-ba72-4539-ad79-450076b33f3e · outbound

This paper cites A review of machinery diagnostics and prognostics implemented on a centrifugal pump,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics A review of machinery diagnostics and prognostics implemented on a centrifugal pump,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.931876Z

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Observation 846e2714-27c4-4a69-a305-a6cc1bed74bf · outbound

This paper cites The analytic hierarchy process applied to maintenance strategy selection,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics The analytic hierarchy process applied to maintenance strategy selection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.919652Z

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Observation 296a5805-e6f9-4d68-937c-bfa63f65c775 · outbound

This paper cites Prognostics and health management of electronics,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Prognostics and health management of electronics,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.908220Z

Source-reported events for the cited work

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Observation fa0b8ac2-c0a1-4bc8-8d14-fadca3797d0e · outbound

This paper cites Prognostic modelling options for remaining useful life estimation by industry,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Prognostic modelling options for remaining useful life estimation by industry,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.895448Z

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Observation 4cfe327b-ceed-4cbb-adac-d0d3d4c513e8 · outbound

This paper cites Remaining useful life prediction for an adaptive skew-wiener process model,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Remaining useful life prediction for an adaptive skew-wiener process model,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.881953Z

Source-reported events for the cited work

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Observation 022f6ff3-3d09-40b7-822f-fcbd72f6f637 · outbound

This paper cites Residual life estimation based on a generalized wiener process with skew-normal random effects,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Residual life estimation based on a generalized wiener process with skew-normal random effects,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.867615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10596491-dfce-4a96-89b5-908d2fc2262f · outbound

This paper cites Remain- ing useful life estimation based on a nonlinear diffusion degradation process,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Remain- ing useful life estimation based on a nonlinear diffusion degradation process,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.855377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6fffa3f8-07ff-4f1e-9a5a-d8bea5f5ab50 · outbound

This paper cites Fault detection for a class of uncertain nonlinear markovian jump stochastic systems with mode-dependent time delays and sensor saturation,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Fault detection for a class of uncertain nonlinear markovian jump stochastic systems with mode-dependent time delays and sensor saturation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.840583Z

Source-reported events for the cited work

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Observation f1c10168-5fb6-4b17-99b4-94fafbd40fac · outbound

This paper cites A manufacturing big data solution for active preventive maintenance,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics A manufacturing big data solution for active preventive maintenance,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.826853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97514093-5202-4097-923d-1889cc981722 · outbound

This paper cites An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:44:46.546902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22174f86-3358-45d2-9a22-de68c2aacf89 · outbound

This paper cites Opportunistic maintenance for wind turbines considering imperfect, reliability-based maintenance,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Opportunistic maintenance for wind turbines considering imperfect, reliability-based maintenance,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.814730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fddf2c1f-0756-40c7-897e-228c0050ad5f · outbound

This paper cites Prognostic health management of aircraft power generators,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Prognostic health management of aircraft power generators,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.801600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc7cc020-5032-485d-b0dd-d4a7b949cb18 · outbound

This paper cites Reliability of manu- facturing equipment in complex environments,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Reliability of manu- facturing equipment in complex environments,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.786398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00147090-7037-4c44-b934-1fb93a8e3818 · outbound

This paper cites Learning transferable features with deep adaptation networks,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Learning transferable features with deep adaptation networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.772323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7749b1ed-e461-4692-b2a8-71cc84fa42f5 · outbound

This paper cites Transfer learning with neural networks for bearing fault diagnosis in changing working conditions,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Transfer learning with neural networks for bearing fault diagnosis in changing working conditions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.759348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36e86921-6885-479c-a10e-ef98c774e0e9 · outbound

This paper cites Lifelong machine learning,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Lifelong machine learning,

Reference 16

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Source-reported events for the cited work

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Observation b871ec93-c612-41c2-992c-0b402c912b0e · outbound

This paper cites Lifelong machine learning: a paradigm for continuous learning,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Lifelong machine learning: a paradigm for continuous learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.737283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation deee8707-282a-40f0-a379-81f2cb48a47c · outbound

This paper cites Lifelong machine learning systems: Beyond learning algorithms.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Lifelong machine learning systems: Beyond learning algorithms

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.725410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 29c81e03-4baf-42e6-b333-e9bc18a10f78 · outbound

This paper cites Efﬁcient representations for lifelong learning and autoencoding,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Efﬁcient representations for lifelong learning and autoencoding,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.712934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18287d3d-c578-4889-a9bb-7baf3e2f1443 · outbound

This paper cites Lifelong machine learning with adaptive multi-agent systems,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Lifelong machine learning with adaptive multi-agent systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.699891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e91b4dce-fda3-4acb-b0d8-dbbf665223ea · outbound

This paper cites The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.683612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b464d015-1189-4bf1-aee4-b4621c6c0606 · outbound

This paper cites Transfer of learning by composing solutions of elemental sequential tasks,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Transfer of learning by composing solutions of elemental sequential tasks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.670151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d975b0c-aaa8-4eea-807d-0bc671ec81ba · outbound

This paper cites The task rehearsal method of life- long learning: Overcoming impoverished data,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics The task rehearsal method of life- long learning: Overcoming impoverished data,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.655354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c8b09c60-8712-47e4-a765-df898811727a · outbound

This paper cites A fault prediction method based on modiﬁed genetic algorithm using bp neural network algorithm,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics A fault prediction method based on modiﬁed genetic algorithm using bp neural network algorithm,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.638552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3286aa3-d06a-4967-ba09-27dc22753e49 · outbound

This paper cites Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.624065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aeee0826-6d6f-44dc-887d-2ce7d0146f8f · outbound

This paper cites Long short-term memory neural network for trafﬁc speed prediction using remote microwave sensor data,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Long short-term memory neural network for trafﬁc speed prediction using remote microwave sensor data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.609124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d253bc72-b647-4965-975e-4a57bdf63487 · outbound

This paper cites Are loss functions all the same?.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Are loss functions all the same?

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.593648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bcb4c2f7-dc76-49fa-ad92-ff579e633567 · outbound

This paper cites Loss functions for binary classiﬁcation and class probability estimation,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics Loss functions for binary classiﬁcation and class probability estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:46.579404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6aea75f-d706-4d8a-b484-9f137ab443f4 · outbound

This paper cites On the design of loss functions for classiﬁcation: theory, robustness to outliers, and savageboost,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics On the design of loss functions for classiﬁcation: theory, robustness to outliers, and savageboost,

Reference 29

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Source-reported events for the cited work

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Observation dc493a58-24a6-4c9d-9d95-878dfc473d13 · outbound

This paper cites An introduction to roc analysis,.

A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics An introduction to roc analysis,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T11:44:46.503688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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