Paper Citation Record · LEDGER

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2601.03673.

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

pith.paper-citation-record.v1
2601.03673 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:18:57.890736Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 84e8e05b-7250-46ef-8481-e8f2063dcf09 · outbound

This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 1

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Observation fd81b11d-5ff3-4255-9b92-03c6f606b0da · outbound

This paper cites Kordestani, M.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Kordestani, M

Reference 2

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Observation fe021fa4-1ea0-4f78-8431-e11e526f48f5 · outbound

This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 3

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Observation 6ee29beb-596c-4d9c-9a67-9449b1cc462b · outbound

This paper cites Kovachki, Z.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Kovachki, Z

Reference 5

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 6

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 7

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 8

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 9

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Observation a4d20d53-c038-46fb-ba0b-489634024dcc · outbound

This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 10

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This paper cites Zio,Reliability Engineering & System Safety2022,218108119.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Zio,Reliability Engineering & System Safety2022,218108119

Reference 11

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Observation e920ddb8-7ab5-4593-8e4c-069ea681c2c2 · outbound

This paper cites Arias Chao, C.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Arias Chao, C

Reference 12

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Observation 77b9411f-f12c-4f66-ad7d-35cb758acbe9 · outbound

This paper cites Daigle, I.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Daigle, I

Reference 13

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Observation 6a8d3224-fdaa-4b14-9714-adf46a5465a1 · outbound

This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 14

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Observation 192f5e28-dcad-4a07-b1e6-10e8228a1e69 · outbound

This paper cites Alcibar, J.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Alcibar, J

Reference 15

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 16

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Observation 2eb0d548-0e10-40cc-85c3-9c8489d45be9 · outbound

This paper cites Ramirez, J.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Ramirez, J

Reference 17

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Observation 6e55c379-4cc7-4dd9-a258-248245f51d6a · outbound

This paper cites Sankararaman,Mechanical Systems and Signal Processing2015,52228.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Sankararaman,Mechanical Systems and Signal Processing2015,52228

Reference 18

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Observation 8d4dae84-8978-48d5-94b4-83a9b9593323 · outbound

This paper cites Salinas-Camus, K.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Salinas-Camus, K

Reference 19

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Observation 7e7b7948-8d40-44af-8d58-01c65d6d9ed7 · outbound

This paper cites Linka, A.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Linka, A

Reference 20

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 21

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 22

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Podina, M

Reference 23

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Observation aaa2153d-019f-49dc-b8e3-dbd1c736fde3 · outbound

This paper cites Zhang, L.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Zhang, L

Reference 24

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Observation cfe3c126-007f-4ee3-94b1-7ae5b7530c4e · outbound

This paper cites Jiang, X.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Jiang, X

Reference 25

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Observation 750bb373-49e9-42ea-a86d-5d31fad01938 · outbound

This paper cites Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble

Reference 26

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This paper cites H ¨ullermeier, W.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics H ¨ullermeier, W

Reference 27

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This paper cites Fern ´andez, J.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Fern ´andez, J

Reference 28

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 29

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This paper cites Ramirez, J.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Ramirez, J

Reference 30

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Aizpurua, B

Reference 31

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Raissi, P

Reference 32

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 33

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 34

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Fortuin, A

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Kendall, Y

Reference 36

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 37

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics H ¨ullermeier, W

Reference 38

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Depeweg, J.-M

Reference 39

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 40

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 42

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 43

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This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 44

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Observation 1daed3b2-4a0c-47d2-8ea3-255116774530 · outbound

This paper cites an unresolved cited work.

Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Unresolved cited work

Reference 45

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Observation 22bd8ae7-fcd9-4af9-8318-d6df18fe1f2a · outbound

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Disentangling Aleatoric and Epistemic Uncertainty in Physics-Informed Neural Networks. Application to Insulation Material Degradation Prognostics Gneiting, A

Reference 46

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Pith citing papers

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