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Paper Citation Record · LEDGER

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.13416.

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

pith.paper-citation-record.v1
2506.13416 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

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measured 35 of 35 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 9ce6bfec-d3fc-4c22-9e4e-affc7a27cb0d · outbound

This paper cites Establishing the right analytics-based maintenance strategy,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Establishing the right analytics-based maintenance strategy,

Reference 1

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Observation bc5e4d6e-1b50-4985-812f-99d3dfd8f044 · outbound

This paper cites Ultra-low power machinery fault detection using deep neural networks,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Ultra-low power machinery fault detection using deep neural networks,

Reference 2

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Observation c75b0169-04fd-4d1c-8627-c6b345bd9a8e · outbound

This paper cites Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

Reference 3

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Observation ffc9b01c-bdec-41c9-b7e2-fc8d07914dfd · outbound

This paper cites Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey

Reference 4

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Observation 7052523d-1815-49ee-a5ca-e7ca24ec3ad2 · outbound

This paper cites Online detection of vibration anomalies using balanced spiking neural networks,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Online detection of vibration anomalies using balanced spiking neural networks,

Reference 5

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Observation 0beef7b4-2aa3-4eb5-8794-f8178b6c8f19 · outbound

This paper cites A spiking neural network-based approach to bearing fault diagnosis,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance A spiking neural network-based approach to bearing fault diagnosis,

Reference 6

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Observation 2fb47175-2a5c-4b31-aa7d-2926ceb40df0 · outbound

This paper cites Research on fault diagnosis based on spiking neural networks in deep space environment,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Research on fault diagnosis based on spiking neural networks in deep space environment,

Reference 7

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Observation 24bd4de0-e15a-4f90-8976-f25a3cc3e955 · outbound

This paper cites A multi-layer spiking neural network-based approach to bearing fault diagnosis,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance A multi-layer spiking neural network-based approach to bearing fault diagnosis,

Reference 8

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Observation 2f627a39-ae24-42c5-b8c3-4acae714a872 · outbound

This paper cites Novel spiking neural network model for gear fault diagnosis,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Novel spiking neural network model for gear fault diagnosis,

Reference 9

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Observation 4182cd68-5b8f-4390-9539-b4375c0c07e6 · outbound

This paper cites Damage detection in structural health monitoring with spiking neural networks,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Damage detection in structural health monitoring with spiking neural networks,

Reference 10

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Observation 0a13939d-0740-46dc-b156-ec7631dbf40a · outbound

This paper cites Spiking neural network-based near-sensor computing for damage detection in structural health monitoring,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Spiking neural network-based near-sensor computing for damage detection in structural health monitoring,

Reference 11

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Observation fa70215d-f551-43fc-9a69-2cfe334dbceb · outbound

This paper cites Efficient time series classification using spiking reservoir,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Efficient time series classification using spiking reservoir,

Reference 12

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Observation d485212f-bcb7-4f7d-a09e-11f6a3136a39 · outbound

This paper cites Comparing reservoir artificial and spiking neural networks in machine fault detection tasks,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Comparing reservoir artificial and spiking neural networks in machine fault detection tasks,

Reference 13

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Observation 6400334b-1396-4503-98a5-f904d8cbd1f5 · outbound

This paper cites NEMO® BY Blockpumpe in Industrieausf ¨uhrung.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance NEMO® BY Blockpumpe in Industrieausf ¨uhrung

Reference 14

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 88bf5350-3b14-45cb-8b6c-333636aeeb5c · outbound

This paper cites Moineau, “Pompe,” Patent US 1 892 217.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Moineau, “Pompe,” Patent US 1 892 217

Reference 15

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Observation b82fd088-6f8b-44bb-b197-7587b9cba862 · outbound

This paper cites SITRANS SCM IQ, SITRANS CC220, SITRANS MS200.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance SITRANS SCM IQ, SITRANS CC220, SITRANS MS200

Reference 16

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Observation 88e70fb5-ec77-42aa-9ffb-472d22225061 · outbound

This paper cites PG2453 - Pressure sensor - ifm.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance PG2453 - Pressure sensor - ifm

Reference 17

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Observation 88e40eff-c6d5-4209-a5af-5b9e03d5b695 · outbound

This paper cites Promag W 300, 5W3B1H.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Promag W 300, 5W3B1H

Reference 18

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Observation 0d600466-805b-46a1-933c-ebd68b8f5ac5 · outbound

This paper cites E2B-M12KN05-M1-B1 OMI | OMRON.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance E2B-M12KN05-M1-B1 OMI | OMRON

Reference 19

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Observation fb7a0b34-b5a5-41ac-ab8c-286ea551570d · outbound

This paper cites A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications

Reference 20

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Observation 04c3d622-c85c-483f-aaee-40c324839a2a · outbound

This paper cites Evolving spatio-temporal data machines based on the neucube neuromorphic framework: Design methodology and selected applications,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Evolving spatio-temporal data machines based on the neucube neuromorphic framework: Design methodology and selected applications,

Reference 21

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Observation 2126fe82-0ed6-4620-9cf8-32cbb8c9e00c · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation,

Reference 22

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Observation 8ab999f7-913f-4ab1-a8ac-96218d81f1c9 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Scikit-learn: Machine learning in Python,

Reference 23

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Observation d183145b-3a02-4964-bbbd-e4f8ad39d868 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Adam: A Method for Stochastic Optimization

Reference 24

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Observation 3a645954-1ffc-4f9e-b380-3fcd64510d1c · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Training spiking neural networks using lessons from deep learning,

Reference 25

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Observation 0f498772-9f13-447a-9418-7eb4079723a2 · outbound

This paper cites Optuna: A next- generation hyperparameter optimization framework,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Optuna: A next- generation hyperparameter optimization framework,

Reference 26

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Observation 56090999-b8ef-4e52-b422-3f0d4a52a6d6 · outbound

This paper cites Assessing trends in performance per watt for signal processing applications,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Assessing trends in performance per watt for signal processing applications,

Reference 27

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Observation bb2406e4-b2ce-4ac3-814b-95ed5d278a6a · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 28

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Observation d62c3943-ca84-462b-a504-780b5bd34282 · outbound

This paper cites Nengo: a Python tool for building large-scale functional brain models,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Nengo: a Python tool for building large-scale functional brain models,

Reference 29

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Observation fe3812fa-7c36-4aff-91cf-e407a55315c7 · outbound

This paper cites What is Flow Meter Accuracy?.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance What is Flow Meter Accuracy?

Reference 30

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3d4110d5-f2c8-4ead-86b5-f6108790f355 · outbound

This paper cites Triboelectric rotational speed sensor integrated into a bearing: A solid step to industrial application,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Triboelectric rotational speed sensor integrated into a bearing: A solid step to industrial application,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2bed8e39-7355-46ab-b14f-82a3c46ce569 · outbound

This paper cites Comparison of single and double electrostatic sensors for rotational speed measurement,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Comparison of single and double electrostatic sensors for rotational speed measurement,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 91ba4fee-47aa-4c11-95c5-f938c9044219 · outbound

This paper cites Rotational speed measurement through electrostatic sensing and correlation signal processing,.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Rotational speed measurement through electrostatic sensing and correlation signal processing,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c8427cd5-4c50-442c-95e4-adae4a3e1471 · outbound

This paper cites MIP Series Heavy Duty Pressure Transducers | Honeywell.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance MIP Series Heavy Duty Pressure Transducers | Honeywell

Reference 34

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raw_fallback, observed 2026-08-15T20:06:14.098639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 27503e08-5c92-4cbc-aac5-415b142a07aa · outbound

This paper cites Available: https://linkinghub.elsevier.com/retrieve/pii/ S0951832022002095.

Spiking Neural Networks for Low-Power Vibration-Based Predictive Maintenance Available: https://linkinghub.elsevier.com/retrieve/pii/ S0951832022002095

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:06:14.411550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:06:13.428297Z digest=sha256:e102027c2f29ffac0ead8d8352318ffd3a5637b5f22a1be417c40ff8bb82a8c4

Pith citing papers

No inbound Pith citation observations are available.