Paper Citation Record · LEDGER

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning

As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2602.00072.

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

pith.paper-citation-record.v1
2602.00072 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:16:37.809412Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

verified exact0
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1338a31d-0808-47e7-9912-7e8ba802d2f8 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:34.637631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f8128c-382c-40d5-944d-898a99e22196 · outbound

This paper cites Zhao, Y.-M.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Zhao, Y.-M

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:34.711207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a57570b-ae21-4c96-a710-bb8923203132 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:34.928389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b3fdca1-2529-40cd-b140-6eea246b8e67 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.015672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dcaa00b-bdee-4d75-aaa5-306f9847fb80 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.067900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9eb421-a099-49aa-b96e-4a944577f451 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.176547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f495479-ee78-4941-84a4-b5911c216a5e · outbound

This paper cites Wan, W.-X.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Wan, W.-X

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.235246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f2932d-299b-44d9-953f-257ab130c69b · outbound

This paper cites Kudela, R.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Kudela, R

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.352229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 888e8d1e-8e37-4b10-b7f9-7337a5276691 · outbound

This paper cites Samadian, I.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Samadian, I

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.519308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50eb7908-fafd-4963-964b-2cd19d79618d · outbound

This paper cites Motamed, A multi-fidelity neural network surrogate sampling method for uncertainty quantification, International Journal for Uncer- tainty Quantification 10 (4) (2020).

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Motamed, A multi-fidelity neural network surrogate sampling method for uncertainty quantification, International Journal for Uncer- tainty Quantification 10 (4) (2020)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.665437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0655442b-ba1c-4e9d-8748-33ed30a51c73 · outbound

This paper cites Peherstorfer, K.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Peherstorfer, K

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.826301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afafc69d-4d48-41d5-be7d-5031c5383cf8 · outbound

This paper cites Feng, S.-Z.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Feng, S.-Z

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:35.937086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee722ec-a4d1-4f8e-840f-cf44f6138e93 · outbound

This paper cites Stavropoulou, E.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Stavropoulou, E

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.018731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00393831-5f73-47d0-8854-96e53af5e64d · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.104769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 245897da-10bd-4981-990e-4a132fdb4ecf · outbound

This paper cites Zhong, D.-C.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Zhong, D.-C

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.192730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bcd5953-ccd8-4232-8c5b-402e2e569250 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.256495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10165c71-d156-47ef-9d86-7b1ef0c5781d · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.343547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2637651c-434e-4cd0-9bb3-61aba8e2fd0f · outbound

This paper cites Wang, S.-P.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Wang, S.-P

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.427419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac92a1af-27e1-4258-920c-bbc7d222b971 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.520131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f581cbc4-a66b-4eaf-ad25-244ca5f719fd · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.588288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28465922-381a-4973-8954-0db068400918 · outbound

This paper cites Iorliam, J.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Iorliam, J

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.673268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c61665fe-f31e-4912-acc3-073c142bbd04 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.843578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f36c6f-9ada-4c44-a52a-b9bf3d9ed3ff · outbound

This paper cites Nielsen, P.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Nielsen, P

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:36.964152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edcbe5f1-c231-4c85-b711-3af7114f9dc0 · outbound

This paper cites Dirmeier, C.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Dirmeier, C

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:37.128306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef67d7de-63c4-4c51-b2c7-5d2c55f30dc0 · outbound

This paper cites Funnels: Exact maximum likelihood with dimensionality reduction.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Funnels: Exact maximum likelihood with dimensionality reduction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:37.216070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7056b04-d0e7-40a8-bcb9-c630c7f07ad4 · outbound

This paper cites Density estimation using Real NVP.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Density estimation using Real NVP

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:37.331198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b6e1fb-72a9-43d2-8ae6-0d82637476fe · outbound

This paper cites Dirmeier, Surjectors: surjection layers for density estimation with normalizing flows, Journal of Open Source Software 9 (94) (2024) 6188.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Dirmeier, Surjectors: surjection layers for density estimation with normalizing flows, Journal of Open Source Software 9 (94) (2024) 6188

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:37.457209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca91f89-37e6-4fd1-8a59-88f7acf7e3f6 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:37.652683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d762c193-718b-4d3a-8150-eb019518614f · outbound

This paper cites Hewage, A.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Hewage, A

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:37.738250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76964ed6-f717-457b-af57-9d16f49e2d52 · outbound

This paper cites an unresolved cited work.

Generative AI-enhanced Probabilistic Multi-Fidelity Surrogate Modeling Via Transfer Learning Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T09:16:37.809412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.