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Paper Citation Record · LEDGER

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.31290.

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

pith.paper-citation-record.v1
2606.31290 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:18:15.562440Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

33 of 33 outbound references displayed

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  • verified fuzzy24
  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a46ab819-fe74-48d6-a367-572912e3379c · outbound

This paper cites GenCast: Diffusion-based ensemble forecasting for medium-range weather.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 1

Resolution
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arxiv_id, observed 2026-07-01T09:45:39.883840Z

Source-reported events for the cited work

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Observation 5891392d-6f25-4ae2-b481-cd5614620530 · outbound

This paper cites Generative Diffusion-based Downscaling for Climate.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Generative Diffusion-based Downscaling for Climate

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:39.886367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 09c50214-51e9-49b2-a9db-e4d87862d62f · outbound

This paper cites Deep learning-based statistical downscaling of sea surface temperature using a residual corrective neural network.ESS Open Archive, 2025(0813), 2025.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Deep learning-based statistical downscaling of sea surface temperature using a residual corrective neural network.ESS Open Archive, 2025(0813), 2025

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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Observation 2f89d3ae-b699-46c2-b48a-3e0642c9a225 · outbound

This paper cites Diffusion models, image super-resolution, and everything: A survey.IEEE Transactions on Neural Networks and Learning Systems, 2024.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Diffusion models, image super-resolution, and everything: A survey.IEEE Transactions on Neural Networks and Learning Systems, 2024

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8cb12b2f-0239-4cff-b7e7-491211365a33 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification High- resolution image synthesis with latent diffusion models

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 24d753c1-7576-44a6-aae6-f88c49fd0273 · outbound

This paper cites an unresolved cited work.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 6c81d2e2-0a09-43e6-b045-bfdc1e88df57 · outbound

This paper cites Adversarial super-resolution of climatological wind and solar data.Proceedings of the National Academy of Sciences, 117(29):16805–16815, 2020.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Adversarial super-resolution of climatological wind and solar data.Proceedings of the National Academy of Sciences, 117(29):16805–16815, 2020

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 5f2e0931-dc0a-4990-beb3-5f5cf07ccc48 · outbound

This paper cites Image super-resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Image super-resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3c2730ce-5eb6-417c-b87c-4608cd97dada · outbound

This paper cites Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification

Reference 9

Resolution
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arxiv_id, observed 2026-07-01T09:45:39.881036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6475ea68-b673-4f20-9235-7b7cf9f57e01 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation de7e4af7-cbc5-44ef-930f-0686bfe04c8c · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Score-based generative modeling through stochastic differential equations

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4b111d2b-f696-4748-9d0f-d8b003d40cc3 · outbound

This paper cites Score-based generative modeling in latent space.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Score-based generative modeling in latent space

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation efe0edc0-6a75-40b8-b2ab-b2aaac2f54ff · outbound

This paper cites Uncertainty Quantification with Generative Models.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Uncertainty Quantification with Generative Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:39.878263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 52bd8a4f-131b-41e6-b1e0-ece806167c3f · outbound

This paper cites Turbulence and the dynamics of coherent structures.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Turbulence and the dynamics of coherent structures

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 92bd64c0-9694-4a9d-a699-c2520abb85c4 · outbound

This paper cites The proper orthogonal decomposition in the analysis of turbulent flows.Annual review of fluid mechanics, 25(1):539–575.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification The proper orthogonal decomposition in the analysis of turbulent flows.Annual review of fluid mechanics, 25(1):539–575

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 85d9d2a0-68e0-42c2-9a41-6476c44b7a3f · outbound

This paper cites A survey of projection-based model reduction methods for parametric dynamical systems.SIAM Review, 57(4):483–531, 2015.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification A survey of projection-based model reduction methods for parametric dynamical systems.SIAM Review, 57(4):483–531, 2015

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8bf653d4-8fe4-4f08-9857-5b3d2c9f493d · outbound

This paper cites Generative adversarial reduced order modelling.Scientific Reports, 14(1):3826, 2024.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Generative adversarial reduced order modelling.Scientific Reports, 14(1):3826, 2024

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f29c563f-a7dc-487b-b6b4-c1ed5abb2dc4 · outbound

This paper cites Conditional neural field latent diffusion model for generating spatiotemporal turbulence.Nature Communi- cations, 15(1):10416.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Conditional neural field latent diffusion model for generating spatiotemporal turbulence.Nature Communi- cations, 15(1):10416

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 918d7bf3-d156-4b83-bc85-2293b9c35fba · outbound

This paper cites PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution

Reference 19

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Source-reported events for the cited work

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Observation a6d8e4b2-78d1-4af9-a06c-bba60633f51c · outbound

This paper cites Improved denoising diffusion probabilistic models.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Improved denoising diffusion probabilistic models

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 827eade8-6c3b-4aeb-833d-6180cfe84bd4 · outbound

This paper cites Scalable diffusion models with transformers.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Scalable diffusion models with transformers

Reference 21

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Source-reported events for the cited work

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Observation add1382b-2616-4f8f-8e55-010a53a2013b · outbound

This paper cites Denoising diffusion implicit models.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Denoising diffusion implicit models

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 38a01f99-00c8-408e-92a7-96637f41c1b4 · outbound

This paper cites Shchepetkin and J.C.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Shchepetkin and J.C

Reference 23

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Observation c3796ee4-cd0d-4b10-949f-b6ac5b8ac88e · outbound

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Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Unresolved cited work

Reference 24

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Observation 3412ef3f-c39a-46ba-9dc1-1b8ea59baab5 · outbound

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Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Unresolved cited work

Reference 25

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unresolved
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Source-reported events for the cited work

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Observation 611c2a1e-2810-4446-af51-847a2cc3664e · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification A style-based generator architecture for generative adversarial networks

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation a0472a43-d60a-41b0-9036-1344a46549ae · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification U-net: Convolutional networks for biomedical image segmentation

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5c783c6d-cba4-4e7d-8810-f50262ace618 · outbound

This paper cites Residual corrective diffusion modeling for km-scale atmospheric downscaling.Communications Earth & Environment, 6(1):124.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Residual corrective diffusion modeling for km-scale atmospheric downscaling.Communications Earth & Environment, 6(1):124

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f09aab9d-e936-4c6c-a0b8-33c1e5919fd9 · outbound

This paper cites Bovik, Hamid R.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Bovik, Hamid R

Reference 29

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Source-reported events for the cited work

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Observation e0552f56-aef4-4917-b74e-3ba10ddd31ff · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Efros, Eli Shechtman, and Oliver Wang

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8e51551c-39e2-44e2-b74c-d7da2d0d0288 · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local Nash equilibrium.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification GANs trained by a two time-scale update rule converge to a local Nash equilibrium

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-01T06:18:15.562440Z digest=sha256:8ffc07599f9249f2c24023ade5b995153aaff7a107f2c5cd535f63e52e755fdf

Observation 34b602e9-54ad-4781-afb6-2430e3b1aaee · outbound

This paper cites Limitations.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification Limitations

Reference 32

Resolution
malformed identifier
arxiv_id, observed 2026-07-01T09:45:39.875719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-01T06:18:15.562440Z digest=sha256:4afac8ff9aaabc62d2663138eb4c1f0456b2ef41f89210c2ee2eb23862d522b2

Observation 441eb482-545f-49d7-b26d-e85ce9bee7e6 · outbound

This paper cites ChestX-ray14 and FFHQ are pre-existing datasets used as benchmarks.

Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification ChestX-ray14 and FFHQ are pre-existing datasets used as benchmarks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T18:52:48.970227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-01T06:18:15.562440Z digest=sha256:89952b7e4dac71ec2e04a39dfcf0c93d92a317c848be53dc1c4785e8c660b92f

Pith citing papers

No inbound Pith citation observations are available.