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Paper Citation Record · LEDGER

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.18287.

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

pith.paper-citation-record.v1
2607.18287 v1

Coverage vector

measured 31 of 31 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T09:23:58.898218Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

31 of 31 outbound references displayed

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Outbound references

Observation 52aba717-0537-4bca-ba3e-c5fced4bb232 · outbound

This paper cites A survey on fault diagnosis approaches for rolling bearings of railway vehicles,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop A survey on fault diagnosis approaches for rolling bearings of railway vehicles,

Reference 1

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Observation 24c5cf2d-1fd9-4168-a21f-7b50b67a28c6 · outbound

This paper cites The vibration analysis of the cnc vertical milling machine spindle system considering nonlinear and nonsmooth bearing restoring force,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop The vibration analysis of the cnc vertical milling machine spindle system considering nonlinear and nonsmooth bearing restoring force,

Reference 2

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Observation 695ff4a3-12b2-4b5e-bb17-7fb008a93039 · outbound

This paper cites From academic to industrial research: A comparative review of advances in rolling element bearings for wind turbine main shaft,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop From academic to industrial research: A comparative review of advances in rolling element bearings for wind turbine main shaft,

Reference 3

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Observation 7cb3d693-b711-4a28-a77a-898ece1de7b2 · outbound

This paper cites Cross-domain fault diagnosis of rv reducer rolling bearings based on relative shaft synchronous resampling and adaptive gradient freezing transfer learning,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Cross-domain fault diagnosis of rv reducer rolling bearings based on relative shaft synchronous resampling and adaptive gradient freezing transfer learning,

Reference 4

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Observation b653e6cd-d106-419c-a50a-894550e85269 · outbound

This paper cites Bearings in aerospace, application, distress, and life: a review,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Bearings in aerospace, application, distress, and life: a review,

Reference 5

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source=pdf_text observed=2026-08-02T09:23:54.339239Z digest=sha256:63149d152a3a4ddfe1925e557d037573f8109dad3eb2b7aa7ae78edcf5e533c5

Observation e2a299d2-c6b5-4484-8495-1d577e04d8ca · outbound

This paper cites Progress and state-of-the-art on intelligent fault diagnosis of sliding bearings in reactor coolant pumps,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Progress and state-of-the-art on intelligent fault diagnosis of sliding bearings in reactor coolant pumps,

Reference 6

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source=pdf_text observed=2026-08-02T09:23:54.476215Z digest=sha256:dbdad9ffe69575f2939c7e1d568c08685f079b571e1f3f502a9962b46e5b298c

Observation 82c77ea6-c093-4d11-8384-dee23c4b98bb · outbound

This paper cites Advanced deep learning architectures for bearing fault diagnosis in the petroleum industry,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Advanced deep learning architectures for bearing fault diagnosis in the petroleum industry,

Reference 7

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Observation 463c778e-700d-4e5b-8432-a144f6a1c7e0 · outbound

This paper cites Dcaggcn: A novel method for remaining useful life prediction of bearings,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Dcaggcn: A novel method for remaining useful life prediction of bearings,

Reference 8

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source=pdf_text observed=2026-08-02T09:23:54.849196Z digest=sha256:b84fec7ce4d8833914ba2d4356ce3e5dd81d6b8a12bb8e85f74b93f0a4036b7e

Observation 5e1fde62-83ac-460e-b527-1177455bb569 · outbound

This paper cites A review on data-driven fault severity assessment in rolling bearings,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop A review on data-driven fault severity assessment in rolling bearings,

Reference 9

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source=pdf_text observed=2026-08-02T09:23:55.001992Z digest=sha256:c2b5eef8088f6f1df7201008d5ce5234e565d6c69888896056131a5b1d9e4061

Observation b3b06946-e6ff-42f7-b87d-081d979eb272 · outbound

This paper cites Rolling-element bearings,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Rolling-element bearings,

Reference 10

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source=pdf_text observed=2026-08-02T09:23:55.163375Z digest=sha256:df1206d5ad03a34284e4d145d23e8a8122cea5ba6111b0194c9a87a005bee664

Observation a07d9c23-ba99-4155-95fe-778e4c864cb1 · outbound

This paper cites Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine,

Reference 11

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Observation 0f3e98c8-50ea-4f65-9a53-81fb0a6889aa · outbound

This paper cites A novel weak fault diagnosis method for rolling bearings based on lstm considering quasi- periodicity,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop A novel weak fault diagnosis method for rolling bearings based on lstm considering quasi- periodicity,

Reference 12

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Observation 4c9e046b-d604-490e-bb7e-fa94927b958d · outbound

This paper cites Rolling bearing fault diagnosis using time-frequency analysis and deep transfer convolutional neural network,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Rolling bearing fault diagnosis using time-frequency analysis and deep transfer convolutional neural network,

Reference 13

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Observation 1a2f6c4c-21f5-431d-a315-8702efff5174 · outbound

This paper cites A novel time–frequency transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop A novel time–frequency transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings,

Reference 14

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Observation 49714456-df13-409f-81f4-1b3c69dddec8 · outbound

This paper cites Fd-mvllm: Fault diagnosis based on multimodal vibration data and large language model for bearing system,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Fd-mvllm: Fault diagnosis based on multimodal vibration data and large language model for bearing system,

Reference 15

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Observation 46a8aeab-a43a-44eb-bbf2-a481e949c5c1 · outbound

This paper cites Deep transfer learning for bearing fault diagnosis: A systematic review since 2016,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Deep transfer learning for bearing fault diagnosis: A systematic review since 2016,

Reference 16

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Observation 9d5732e0-c885-4c0f-9cdf-dbb22876a5e0 · outbound

This paper cites Lite and efficient deep learning model for bearing fault diagnosis using the cwru dataset,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Lite and efficient deep learning model for bearing fault diagnosis using the cwru dataset,

Reference 17

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Observation 9a699cf0-d56a-48e6-9a85-4b90a9e6b946 · outbound

This paper cites Leveraging systems’ non-linearity to tackle the scarcity of data in the design of intelligent fault diagnosis systems,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Leveraging systems’ non-linearity to tackle the scarcity of data in the design of intelligent fault diagnosis systems,

Reference 18

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Observation 841ccddd-6ef6-4f68-bf9d-6e9081973687 · outbound

This paper cites Compression– accuracy co-optimization through hardware-aware neural architecture search for vibration damage detection,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Compression– accuracy co-optimization through hardware-aware neural architecture search for vibration damage detection,

Reference 19

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Observation ef4b5091-f638-4547-b8f7-95e8e451bf36 · outbound

This paper cites Low-power detection and classification for in-sensor predictive main- tenance based on vibration monitoring,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Low-power detection and classification for in-sensor predictive main- tenance based on vibration monitoring,

Reference 20

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Observation 3faacc70-57ba-4a57-93e7-c3f36b607761 · outbound

This paper cites Automated neural build for in- sensor inferences,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Automated neural build for in- sensor inferences,

Reference 21

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Observation 768cdc06-6303-46d3-9a9e-ec375d1fbdd1 · outbound

This paper cites A Comprehensive Survey on Hardware-Aware Neural Architecture Search.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Reference 22

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Observation 3c40c1c5-ae61-4589-837c-699b1699b982 · outbound

This paper cites Mnasnet: Platform-aware neural architecture search for mobile,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Mnasnet: Platform-aware neural architecture search for mobile,

Reference 23

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Observation a8f38325-659e-4be4-b6ff-0d5e54735928 · outbound

This paper cites Mcunet: Tiny deep learning on iot devices,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Mcunet: Tiny deep learning on iot devices,

Reference 24

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Observation 525a2613-06ea-41c1-9f64-922fa1504c1f · outbound

This paper cites Colabnas: Obtaining lightweight task-specific convolutional neural networks following oc- cam’s razor,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Colabnas: Obtaining lightweight task-specific convolutional neural networks following oc- cam’s razor,

Reference 25

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Observation 110fbc6b-a116-4133-b26f-f2557c7c1a23 · outbound

This paper cites An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms,

Reference 26

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Observation 97512f44-8724-44ea-8d0c-4acd9be2a28d · outbound

This paper cites Searching neural architectures for sensor nodes on iot gateways,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Searching neural architectures for sensor nodes on iot gateways,

Reference 27

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Observation 5ddedd21-c17c-42ed-98a8-a8c012d7f53c · outbound

This paper cites A new data-driven intelligent fault diagnosis by using convolutional neural network,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop A new data-driven intelligent fault diagnosis by using convolutional neural network,

Reference 28

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Observation 720804fe-7072-46bc-af8f-d2b6e79c2453 · outbound

This paper cites A convolutional neural network method based on adam optimizer with power-exponential learning rate for bearing fault diagnosis,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop A convolutional neural network method based on adam optimizer with power-exponential learning rate for bearing fault diagnosis,

Reference 29

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Observation a1c0beb7-8eee-482a-b7ca-af5f191a0730 · outbound

This paper cites An improved fault diagnosis using 1d-convolutional neural network model,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop An improved fault diagnosis using 1d-convolutional neural network model,

Reference 30

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Observation 6e85c48f-199d-46f2-afbe-7423dd1b5b81 · outbound

This paper cites Debiased contrastive learning with supervision guidance for industrial fault detec- tion,.

BearingNAS: Obtaining In-Sensor Intelligent Fault Diagnosis Systems for Bearings Using a Laptop Debiased contrastive learning with supervision guidance for industrial fault detec- tion,

Reference 31

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