Paper Citation Record · LEDGER

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.25929.

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

pith.paper-citation-record.v1
2607.25929 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:08:14.372155Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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.

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

43 of 43 outbound references displayed

verified exact0
verified fuzzy0
unresolved43
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99136424-1975-4bb2-a1c1-391fb98b876b · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.332645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c4d14e7-7ede-449b-89fc-1b81a7ee92af · outbound

This paper cites K.; Macke, J.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? K.; Macke, J

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.348652Z

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Observation 1c19951a-9c28-49f4-a465-20900ab30983 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.370057Z

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Observation 78bedc32-b535-40fd-9de3-c7e372c5529e · outbound

This paper cites Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.389800Z

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Observation f66daeba-a7d9-4098-a397-8669b33e0741 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.409426Z

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Observation 2822abd7-1c57-4c1b-a81f-18b34eb5677d · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.428050Z

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Observation e35fb7e6-0bb5-4108-98c6-bc9756756b71 · outbound

This paper cites J.; and Ribeiro Jr., P.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? J.; and Ribeiro Jr., P

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.444388Z

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Observation 67348236-8c3f-44b2-9882-3c5977469f5a · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.471440Z

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Observation acccfdf0-782d-422b-aa48-d8ec041d687a · outbound

This paper cites W.; Rezende, D.; and Eslami, S.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? W.; Rezende, D.; and Eslami, S

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.642780Z

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Observation 3f3e210e-00dd-4d37-bc08-e468d52d39e8 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.797574Z

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Observation 11eaf17a-31e2-4a09-891e-f81e4573f89c · outbound

This paper cites In International Conference on Learning Representations.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? In International Conference on Learning Representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.885029Z

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Observation a92a1558-40be-4011-8934-96456a784388 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:09.992774Z

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Observation 994521c7-9f0c-4076-bf02-e30cddefd4ca · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:10.091242Z

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Observation 709feb84-68ca-4eaa-9f2f-ac5187e3981c · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:10.222803Z

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Observation 89e6c5ef-5af1-4546-9554-dedfe31db83b · outbound

This paper cites P.; and Welling, M.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? P.; and Welling, M

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:10.384998Z

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Observation d2ec1819-1322-4589-97f2-0e98d8c8ab9a · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:10.586739Z

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Observation 39a3233e-0408-4d1b-95b4-461e4ff10b67 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:10.788432Z

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Observation 80897048-869d-4744-be01-ec188ecf3bb5 · outbound

This paper cites Flow Matching Guide and Code.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Flow Matching Guide and Code

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:11.019420Z

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Observation c831b3f1-5d9c-4f2c-ade8-5df1a659214d · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:11.219593Z

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Observation 8ad9ff14-64ce-4441-b449-186f4f73a6de · outbound

This paper cites A.; Ge, T.; Subramaniam, A.; Kashinath, K.; Kautz, J.; and Pritchard, M.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? A.; Ge, T.; Subramaniam, A.; Kashinath, K.; Kautz, J.; and Pritchard, M

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:11.478332Z

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Observation 2a9c8342-e6a0-4c92-b06c-87f65411d027 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:11.625156Z

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Unavailable: canonical work link unavailable.

Observation 1a729110-d165-4575-a72d-3eefac8b4379 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:11.791560Z

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Unavailable: canonical work link unavailable.

Observation 1aa2abb2-0e4b-4757-9b36-cd9d5ab9dda1 · outbound

This paper cites J.; and Schervish, M.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? J.; and Schervish, M

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:11.943703Z

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Observation 100dc0ab-2441-4cee-8c37-f803d4c79e6e · outbound

This paper cites J.; and Schervish, M.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? J.; and Schervish, M

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.055598Z

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Observation 07c43c98-6254-4b15-96c8-f2d4512b1039 · outbound

This paper cites R.; El-Kadi, A.; Masters, D.; Ewalds, T.; Stott, J.; Mohamed, S.; Battaglia, P.; Lam, R.; and Willson, M.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? R.; El-Kadi, A.; Masters, D.; Ewalds, T.; Stott, J.; Mohamed, S.; Battaglia, P.; Lam, R.; and Willson, M

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.195773Z

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Observation 0ed1d6a7-1b33-41d5-92de-5a6eae76c597 · outbound

This paper cites B.; Dueben, P.; Bromberg, C.; Sisk, J.; Barrington, L.; Bell, A.; and Sha, F.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? B.; Dueben, P.; Bromberg, C.; Sisk, J.; Barrington, L.; Bell, A.; and Sha, F

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.233181Z

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Observation 99746036-e7a7-4300-8f2d-393c923407e4 · outbound

This paper cites Review: Nonstationary Spatial Modeling, with Emphasis on Process Convolution and Covariate-Driven Approaches.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Review: Nonstationary Spatial Modeling, with Emphasis on Process Convolution and Covariate-Driven Approaches

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.311686Z

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Observation 5c4e60b3-eb82-4ba8-af4a-a8e0b8ebdda4 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 28

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Observation 16b8093e-80a2-427b-8753-c15b731b302d · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.526758Z

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Observation 547006da-7c17-42c8-a80f-572f03ab60d8 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.636740Z

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Observation d02fbdad-215f-44c9-92bc-6952c4be066f · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.779659Z

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Observation 2583cf0d-0966-450e-9917-ce40576bb3d6 · outbound

This paper cites P.; Kumar, A.; Ermon, S.; and Poole, B.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? P.; Kumar, A.; Ermon, S.; and Poole, B

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:12.892752Z

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Observation e699a3d6-5a5f-407f-88af-a4bb702aa6ac · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.005584Z

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Observation 77023333-2d17-4155-8244-f2bed0c943b4 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.089112Z

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Observation c2eae6e9-03cc-4d48-8020-6289c9d5e877 · outbound

This paper cites L.; Scheuerer, M.; and Heinz, C.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? L.; Scheuerer, M.; and Heinz, C

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.197434Z

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Unavailable: canonical work link unavailable.

Observation e7737bee-80eb-4a92-a339-01338436320d · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.326739Z

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Observation 285c9284-632c-4269-a968-87ba431bd18f · outbound

This paper cites Neural Conditional Simulation for Complex Spatial Processes.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Neural Conditional Simulation for Complex Spatial Processes

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.463890Z

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Observation 0c623e21-0687-4d81-b379-cb355e304a45 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.650814Z

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Observation fbe0af15-a4a3-474c-bf8a-2eed3707ba82 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.816468Z

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Observation 60724d16-0436-4070-ab2e-d90604dab23a · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:13.948000Z

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Observation 54c2c58d-9c3e-48e3-87ff-0b9fe9380fb0 · outbound

This paper cites Latent Generative Modeling of Random Fields from Limited Training Data.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Latent Generative Modeling of Random Fields from Limited Training Data

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:14.145497Z

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Observation 63ecdb15-b53f-4a19-a0f1-a09ce647e84e · outbound

This paper cites C.; and Landau, B.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? C.; and Landau, B

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:14.243020Z

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Observation 2278407e-7b96-4890-8fc8-b45b119d77f9 · outbound

This paper cites an unresolved cited work.

Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields? Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T01:08:14.372155Z

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Pith citing papers

No inbound Pith citation observations are available.