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Paper Citation Record · LEDGER

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2508.07536.

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

pith.paper-citation-record.v1
2508.07536 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:08:29.082094Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

24 of 24 outbound references displayed

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  • verified fuzzy19
  • unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7dfc2b60-24ea-4bb9-8502-da402123769e · outbound

This paper cites Diagnosis of multiple faults in rotating machinery using ensemble learning.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Diagnosis of multiple faults in rotating machinery using ensemble learning

Reference 1

Resolution
verified fuzzy
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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 b1bdf36e-e82f-40c8-9769-afb461b89023 · outbound

This paper cites A review of fault diagnosis methods for rotating machinery using infrared thermography.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning A review of fault diagnosis methods for rotating machinery using infrared thermography

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:35.011159Z

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 2a92b037-a515-45a0-a158-069090a5d8ca · outbound

This paper cites Vibration analysis for machine monitoring and diagnosis: A systematic review.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Vibration analysis for machine monitoring and diagnosis: A systematic review

Reference 3

Resolution
verified fuzzy
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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 3e437e3d-3aea-4729-a571-c9c6c560adfc · outbound

This paper cites Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals

Reference 4

Resolution
verified fuzzy
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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 d87acf68-6f08-4412-a589-9ef7f54e42a2 · outbound

This paper cites A survey on active deep learning: From model driven to data driven.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning A survey on active deep learning: From model driven to data driven

Reference 5

Resolution
verified fuzzy
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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 f0d5dc8c-3a87-4b40-90d2-fd6b1dea37df · outbound

This paper cites When physics meets machine learning: A survey of physics-informed machine learning.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning When physics meets machine learning: A survey of physics-informed machine learning

Reference 6

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e9c65a4b-3c29-464a-858b-0e4884b068a7 · outbound

This paper cites an unresolved cited work.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:08:33.871827Z

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 7949e7b8-7482-4e93-ab49-206d110aeaed · outbound

This paper cites Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics -- A Comprehensive Review

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T22:08:26.914033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:08:26.914033Z digest=sha256:0c739e4632def095dbbd897093580415fe916858ac1078f0901d188890204f16

Observation 6e5f931c-64e5-431c-9546-3dbd5f4a4947 · outbound

This paper cites Shen et al.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Shen et al

Reference 9

Resolution
verified fuzzy
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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 49b129a8-a012-4b56-8651-a9e663b8ad3d · outbound

This paper cites Hassannejad et al.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Hassannejad et al

Reference 10

Resolution
verified fuzzy
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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 6469c92c-5adf-43c4-a1d4-380151629d13 · outbound

This paper cites Bearing fault diagnosis based on domain adaptation using transferable features under different working conditions.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Bearing fault diagnosis based on domain adaptation using transferable features under different working conditions

Reference 11

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verified exact
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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 42153ca4-e155-47e9-90cb-b6b2312c5581 · outbound

This paper cites Asutkar et al.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Asutkar et al

Reference 12

Resolution
verified fuzzy
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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 7dede3a8-dddf-4448-9ec0-6722ca14cb58 · outbound

This paper cites an unresolved cited work.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Unresolved cited work

Reference 13

Resolution
unresolved
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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 c69bfcb6-b68f-413d-a506-19d470f4da2e · outbound

This paper cites u chel, Christoph Schenck, Mohamed Selim, Karsten Starke, and Roland D. Br \.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning u chel, Christoph Schenck, Mohamed Selim, Karsten Starke, and Roland D. Br \

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:32.631854Z

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=arxiv_source observed=2026-08-05T22:08:27.761890Z digest=sha256:9673c87da52da01eaadc210517cf001859a8a36065cf54627c1006add9cd5d92

Observation 26169968-1795-411f-b70d-e0dc0e8a2d58 · outbound

This paper cites Harris and Michael N.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Harris and Michael N

Reference 15

Resolution
verified fuzzy
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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 a7134c73-4338-442e-9b0c-c95cc0eac2d5 · outbound

This paper cites Randall and Jerome Antoni.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Randall and Jerome Antoni

Reference 16

Resolution
verified fuzzy
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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.

source=arxiv_source observed=2026-08-05T22:08:28.038380Z digest=sha256:3e5903cbcc52c38aa80de85b8ab6a8a9f8c8d23e6b8a2a2cd0fb55f8f5c857b6

Observation 12dc2adc-bb85-4a64-8026-aea01344dada · outbound

This paper cites Karniadakis, Ioannis G.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Karniadakis, Ioannis G

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:31.862264Z

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=arxiv_source observed=2026-08-05T22:08:28.140978Z digest=sha256:6f5dc69dd7fe78a1588ca606463ae6f9dc341ea78975a2f048fedf63cdf5737d

Observation f3872486-7dde-4d13-9ada-a6a47d5f1063 · outbound

This paper cites Domain adaptation and transfer learning for intelligent fault diagnosis: A survey.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Domain adaptation and transfer learning for intelligent fault diagnosis: A survey

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:31.574321Z

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=arxiv_source observed=2026-08-05T22:08:28.265081Z digest=sha256:2be93b46dfd204f35a9d57c33412eee183b9c4978593c712bcdfa8fc3c60f5ab

Observation 9191a0b1-2b8b-4fc8-8828-a69670b4dfba · outbound

This paper cites A survey on transfer learning.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning A survey on transfer learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:31.285785Z

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=arxiv_source observed=2026-08-05T22:08:28.429568Z digest=sha256:7afa760f47b2957c67a2165fb46f5ac9366dfc2a9404bd4ff1e4789c916d5024

Observation 8f8147b1-b756-4eee-a852-c1ab92ff5733 · outbound

This paper cites A bearing fault dataset for prognostics and diagnostics from kaist.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning A bearing fault dataset for prognostics and diagnostics from kaist

Reference 20

Resolution
verified fuzzy
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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.

source=arxiv_source observed=2026-08-05T22:08:28.555602Z digest=sha256:be8b207bf3ecec9dc5bb3c118f69f043704a7831cc0bfb64fb620c92ba8b104f

Observation 3e24da2f-a655-49fa-b19c-724e66117688 · outbound

This paper cites Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark dataset for data-driven classification.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Condition monitoring of bearing damage in electromechanical drive systems by using motor current signals of electric motors: A benchmark dataset for data-driven classification

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:30.661087Z

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=arxiv_source observed=2026-08-05T22:08:28.672627Z digest=sha256:f7127c32fb8616274c4febbc44fa07747cbcb408c3b14f502ad1d2271cf52a96

Observation 4dd9469c-afbb-436c-b5df-52be74e730b5 · outbound

This paper cites Domain adaptation for fault diagnosis under variable working conditions using cnn and mmd.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Domain adaptation for fault diagnosis under variable working conditions using cnn and mmd

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:30.284907Z

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=arxiv_source observed=2026-08-05T22:08:28.815347Z digest=sha256:8a56f2017be5b1f9ab1f44b4ec53c174793c29dbac1126f981eee5a5df15e723

Observation 32a1b40a-0613-44db-b931-a7777f16232b · outbound

This paper cites A transfer learning approach for cross-domain fault diagnosis of rolling bearings.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning A transfer learning approach for cross-domain fault diagnosis of rolling bearings

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:29.931999Z

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=arxiv_source observed=2026-08-05T22:08:28.952696Z digest=sha256:31e6810a976a0481ced60ad4f45f82a47cc2a98630c1f597ed5b17c81e60a2de

Observation c33ed10d-5377-47b3-a538-06b16c0e1dc4 · outbound

This paper cites Alam, Theodore Trafalis, and Pedro Huebner.

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Alam, Theodore Trafalis, and Pedro Huebner

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:08:29.650208Z

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=arxiv_source observed=2026-08-05T22:08:29.082094Z digest=sha256:abdbda1330ef89a7fa5da1e08bc85f2ce16e41d33f6433f93aaeaa4fd4e52c78

Pith citing papers

No inbound Pith citation observations are available.