Paper Citation Record · LEDGER

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.00033.

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

pith.paper-citation-record.v1
2506.00033 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:05.487559Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

32 of 32 outbound references displayed

verified exact10
verified fuzzy6
unresolved16
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2814403c-2af1-42c9-8c58-135ce1d1c801 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:02.475364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 172d7dda-f7ae-4cf1-91bf-6c36d668e014 · outbound

This paper cites write newline.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:02.539254Z

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Observation 2d017ba0-027e-4131-80f7-bd7832670a06 · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:02.677790Z

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Observation c3b76daf-19ae-4f1a-b843-cf351bf27741 · outbound

This paper cites Demystifying MMD GANs.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Demystifying MMD GANs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:02.761200Z

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Observation cf810e96-7647-45f0-89ce-c4036b0690c1 · outbound

This paper cites DiffusionDet: Diffusion Model for Object Detection.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models DiffusionDet: Diffusion Model for Object Detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:02.845226Z

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Observation a5c557c7-bf83-43a3-a1ae-13ece3575dc4 · outbound

This paper cites an unresolved cited work.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T13:59:07.645370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3bd33cdf-cbd0-4a03-8189-92a8936664cb · outbound

This paper cites P., 1991: Simplification of the kalman filter for meteorological data assimilation.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models P., 1991: Simplification of the kalman filter for meteorological data assimilation

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T13:59:07.445675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4a55c53c-2d31-4f71-b751-c36dcca385f3 · outbound

This paper cites Nichol, 2021: Diffusion models beat gans on image synthesis.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Nichol, 2021: Diffusion models beat gans on image synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:09.034485Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2dd7ecd-d4b2-43d1-af04-84826fef73ed · outbound

This paper cites S., and M.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models S., and M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:08.855503Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41841bc7-c821-4d3d-8559-596fc2a2ba85 · outbound

This paper cites Generative Adversarial Networks.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Generative Adversarial Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:03.493846Z

Source-reported events for the cited work

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Observation 1fcd64f9-cc5f-4a67-8737-193611160e34 · outbound

This paper cites Jain, and P.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Jain, and P

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:03.671428Z

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Observation c266a960-2bd6-4258-a095-95863bea3995 · outbound

This paper cites DiffDA: a Diffusion Model for Weather-scale Data Assimilation.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models DiffDA: a Diffusion Model for Weather-scale Data Assimilation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:03.736723Z

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Observation 2b1b4827-c13c-40ca-a1a8-ad7ee6d38b56 · outbound

This paper cites K., and Coauthors, 2023: Overview: Understanding risks, impacts, and responses, book section 1.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models K., and Coauthors, 2023: Overview: Understanding risks, impacts, and responses, book section 1

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T13:59:07.262104Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3099ea91-c11d-41a3-8a3b-45c17d5b35bc · outbound

This paper cites Auto-Encoding Variational Bayes.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Auto-Encoding Variational Bayes

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:03.897776Z

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Observation f38b1706-98d9-42aa-ba6a-d486fd957828 · outbound

This paper cites G., 1951: A statistical approach to some basic mine valuation problems on the witwatersand.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models G., 1951: A statistical approach to some basic mine valuation problems on the witwatersand

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:08.657927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85e77c72-d699-46e4-a4b6-40cc37e5e6aa · outbound

This paper cites Dong, and P.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Dong, and P

Reference 16

Resolution: verified exact; doi, observed 2026-08-07T13:59:06.995248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc4d2a1f-b43e-4a87-8e5f-2fbfbedc1a53 · outbound

This paper cites Danelljan, A.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Danelljan, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:08.469962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4263352-334e-4dc5-937c-45e599575906 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:04.246450Z

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Observation ad16fd12-e7a5-4d61-a453-98ce7fab3cb5 · outbound

This paper cites McBratney, and D.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models McBratney, and D

Reference 19

Resolution: verified exact; doi, observed 2026-08-07T13:59:06.768285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff91d0e9-8f93-422d-9ba0-d5895c324b86 · outbound

This paper cites Variational Inference with Normalizing Flows.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Variational Inference with Normalizing Flows

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:04.424131Z

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Observation ce9fa51e-57d2-482a-80b6-0deee5338e93 · outbound

This paper cites S., Gregory J.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models S., Gregory J

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T13:59:06.516956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a65142f-9ec3-436a-a975-e0081fe73d18 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models High-Resolution Image Synthesis with Latent Diffusion Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:04.649875Z

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Observation 33d5e220-56e3-4b19-8f88-3523bc83e529 · outbound

This paper cites J., 1987: Climate of the great plains region of the united states.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models J., 1987: Climate of the great plains region of the united states

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:08.299183Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed1985dc-0ec0-462b-a24b-9258063aa128 · outbound

This paper cites an unresolved cited work.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:04.826208Z

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Observation f4a28042-aefb-4a90-82e6-a72f24fb370d · outbound

This paper cites an unresolved cited work.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Unresolved cited work

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T13:59:06.344169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf7dbfae-2fe9-44b9-b46c-91ec5d35c587 · outbound

This paper cites Weiss, N.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Weiss, N

Reference 26

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Observation ecdf06a2-06e7-4a9b-b592-b0fadde62ba2 · outbound

This paper cites Ermon, 2019: Generative modeling by estimating gradients of the data distribution.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Ermon, 2019: Generative modeling by estimating gradients of the data distribution

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:08.105307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af57767d-5a6d-4793-97e5-a0486e139a7e · outbound

This paper cites Awaji, S.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Awaji, S

Reference 28

Resolution: verified exact; doi, observed 2026-08-07T13:59:06.152622Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 370754ca-96aa-47e3-b3dd-9b1123eb2833 · outbound

This paper cites an unresolved cited work.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-07T13:59:05.919506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75eaf4bd-24a2-47c9-9067-157663837da0 · outbound

This paper cites ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:05.300720Z

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Observation 8a4a7620-c044-42b9-9144-850f60999d56 · outbound

This paper cites Zou, and J.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models Zou, and J

Reference 31

Resolution: verified exact; doi, observed 2026-08-07T13:59:05.635756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 756d4346-6877-4546-87f3-2a285b834792 · outbound

This paper cites The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:05.487559Z

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Pith citing papers

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