Paper Citation Record · LEDGER

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty

As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2412.18980.

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

pith.paper-citation-record.v1
2412.18980 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:04:50.914352Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:22:01.620566Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

verified exact0
verified fuzzy22
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b9f59f3-0227-4b4d-bd02-3417b2e11b65 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:50.730202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70ebed7b-934b-4d4a-b764-bdb699e45be1 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.463314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d970c1b1-3ed3-41d4-9a30-0eb9936c953a · outbound

This paper cites Zhang, S.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Zhang, S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.453407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de349d9e-e120-4871-b438-be41ef6bb118 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.443341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 72a6af14-4811-4b8c-9337-ca817e65c676 · outbound

This paper cites Hoang, H.-J.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Hoang, H.-J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.433289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation baae6676-a2c2-4f70-a71e-163d2d214fef · outbound

This paper cites Shojaeinasab, T.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Shojaeinasab, T

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.424763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2491708c-a5e2-4146-8efa-00cdd7ee15b7 · outbound

This paper cites Ovadia, E.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Ovadia, E

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.415904Z

Source-reported events for the cited work

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Observation ab3f34cb-f929-4369-a1e6-984680b57d92 · outbound

This paper cites Abdar, F.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Abdar, F

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.407734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 72568a0b-5f0c-405b-8fd7-68db42121b46 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.399182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93e418b5-5b94-44fb-ad8b-bb150b058653 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.390947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 70205f08-71ff-4ec6-90d2-ac6ecff020b1 · outbound

This paper cites McClure, N.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty McClure, N

Reference 11

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Source-reported events for the cited work

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Observation c1f2d8c1-5ec9-4f7c-9a29-0e909e81c18e · outbound

This paper cites Spatial Uncertainty Sampling for End-to-End Control.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Spatial Uncertainty Sampling for End-to-End Control

Reference 12

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Source-reported events for the cited work

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Observation 0e4d1366-b17b-4a82-8e75-9663aa4491d6 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.374606Z

Source-reported events for the cited work

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Observation 19c01d3b-1a46-4676-a1ea-018a7d1ae719 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.365201Z

Source-reported events for the cited work

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Observation 58ed512f-b016-43f9-b107-451aeb0caa07 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.355443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0130487b-8401-4f73-b38c-db3c3700f29c · outbound

This paper cites Caceres, D.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Caceres, D

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.345602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e958b9a0-45b2-4444-a76a-5853e2281e6d · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.336177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 549c7afe-226a-4d0d-ade2-7b9f3475cf75 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.325796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d78a01d-aec3-47f5-88a4-f24b60941181 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.315559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05193240-e0f6-46d6-8d5d-14e2a2150fbe · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.305686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5acc0bb6-476b-4647-83cf-dab463a52c11 · outbound

This paper cites Moradi, S.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Moradi, S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.296226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 364c5625-5591-4452-8496-e55683d62712 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.287370Z

Source-reported events for the cited work

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Observation bbc632a4-8e24-4545-8c17-82c7fcc7e87b · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.278877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e3e4ba2f-cf76-43fb-8690-600cce4ec75c · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.269930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1b240a69-5e26-492f-b796-abe86da09d34 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.261225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 15883c49-2301-4bd5-82a1-525095cde431 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.252777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f5ca61c-6326-43f1-9361-2f9ebab527cf · outbound

This paper cites Swiatkowski, K.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Swiatkowski, K

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.244568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e1d8845f-c18c-49ba-8b1b-bd08f1280642 · outbound

This paper cites Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

Reference 28

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Source-reported events for the cited work

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Observation b586abf5-260a-483a-a469-c1a73040408a · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.235585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 60e27564-59e6-42ee-ac7f-645c780bcc3c · outbound

This paper cites 1218–1226.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty 1218–1226

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.225681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d9892d7a-d7e7-4584-a44a-676930dd5241 · outbound

This paper cites Lakshminarayanan, A.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Lakshminarayanan, A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.216114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c2827bbd-cf13-4c9e-9051-4b510d8c2060 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.205942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ad57398f-7ec6-4843-b57e-25768f839565 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.195172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4133c5d-3170-4702-a4c7-83fa0211000b · outbound

This paper cites Zhang, B.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Zhang, B

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.184518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb10484c-eac2-4e76-8eb8-ec8c78b5324c · outbound

This paper cites Tuyet-Doan, H.-A.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Tuyet-Doan, H.-A

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.171887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation deb7902d-088a-48e2-b3fe-f4a00821b017 · outbound

This paper cites Han, Y.-F.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Han, Y.-F

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.161322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cfea543d-ebdc-49d7-82d4-3228f89c6555 · outbound

This paper cites Kafunah, M.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Kafunah, M

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.151385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cfa2b6ef-5c06-4bb5-b51a-abf6556f6ac1 · outbound

This paper cites Zhang, C.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Zhang, C

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.141919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e2810475-0ade-4cc9-b2a6-1fd38115a37b · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.132487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a87c1e52-3cf7-408c-ac5b-a78bff54f3dd · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34e3b49a-3013-4b7a-a4e4-cb416e1c2a7f · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.114984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 27349c21-fddb-467b-aad5-74bcd822a74a · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.106218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3e93980-156c-4cfe-9e69-6453c2c02ddd · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.097629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6f06f2d9-8319-4a7d-b678-bf4d4ebea496 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.087569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f4aa4a9-3b18-4f7f-adc0-4ea348e9cd4c · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.077540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd240050-dc4a-49ab-8aed-5b1fc9581046 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.065873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ca86cee-3929-487a-bc1f-c2f92c31939f · outbound

This paper cites Cheng, L.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Cheng, L

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.055506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eea31b5e-7835-4944-bc19-07a345aa550d · outbound

This paper cites Salakhutdinov, Dropout: a simple way to prevent neural networks from overfitting, The journal of machine learning research 15 (2014) 1929–1958.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Salakhutdinov, Dropout: a simple way to prevent neural networks from overfitting, The journal of machine learning research 15 (2014) 1929–1958

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.044933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 43bf4d92-c848-4364-bab6-e2c3b202f0e3 · outbound

This paper cites Neupane, J.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Neupane, J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.033706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7d14876-f228-4ef4-9501-256751ec03f5 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.023468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f16b9db1-12e9-4f33-b2fe-96271e246f24 · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:51.013085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 744d0d6e-6cff-475f-9a0e-1ab36dcb5988 · outbound

This paper cites Hebda-Sobkowicz, R.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Hebda-Sobkowicz, R

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:51.002365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6255b675-548a-4ce5-92dd-674aa2a30e5f · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:50.992727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 172418ba-7f1f-4f5d-ac2e-f61a9885cf6e · outbound

This paper cites an unresolved cited work.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:50.983105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c22eb044-5adf-4371-998d-8dac5cb98d04 · outbound

This paper cites Lessmeier, J.

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty Lessmeier, J

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:50.974287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22153722-744d-4524-8965-6d6cdebecf10 · outbound

This paper cites same" Batch Normalization (Convolutional layer).

Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty same" Batch Normalization (Convolutional layer)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:50.964621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 3e83ed71-f499-40f7-af9f-af9f6714704f · inbound

Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods cites this paper.

Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T13:22:01.620566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.