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Paper Citation Record · LEDGER

DEF: Diffusion-augmented Ensemble Forecasting

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.07324.

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

pith.paper-citation-record.v1
2506.07324 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:01.595505Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 exact7
  • verified fuzzy1
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b981935f-f39f-413c-a64c-6d24425d6516 · outbound

This paper cites Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast.

DEF: Diffusion-augmented Ensemble Forecasting Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Reference 1

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Observation f9e2d93e-4d0b-4e33-81b6-45236ec7cd64 · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

DEF: Diffusion-augmented Ensemble Forecasting GraphCast: Learning skillful medium-range global weather forecasting

Reference 2

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Observation 5277dbae-5fd1-440f-b5b3-c66d9bc4d117 · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

DEF: Diffusion-augmented Ensemble Forecasting FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 3

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Observation 54310dee-2059-4372-9f02-9157a5405e00 · outbound

This paper cites FuXi-2.0: Advancing machine learning weather forecasting model for practical applications.

DEF: Diffusion-augmented Ensemble Forecasting FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 4

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source=pdf_text observed=2026-08-07T05:43:01.485859Z digest=sha256:d73fe6006163933318533c415018f61d4aa329a8904623162567a43831505250

Observation 030018c1-1b33-45af-a9e7-45649500d824 · outbound

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

DEF: Diffusion-augmented Ensemble Forecasting GenCast: Diffusion-based ensemble forecasting for medium-range weather

Reference 5

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Observation 0bc84a79-bed0-4209-8fdd-9474ab7263b3 · outbound

This paper cites Simmons, C.

DEF: Diffusion-augmented Ensemble Forecasting Simmons, C

Reference 6

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doi, observed 2026-08-07T05:43:01.705062Z

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Observation a56c5ef7-ebb9-4988-a98a-66ac87757184 · outbound

This paper cites Baer, Numerical weather prediction, in: M.

DEF: Diffusion-augmented Ensemble Forecasting Baer, Numerical weather prediction, in: M

Reference 7

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doi, observed 2026-08-07T05:43:01.691472Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 83138614-5742-45ec-a098-d8a0ab832c4b · outbound

This paper cites Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators.

DEF: Diffusion-augmented Ensemble Forecasting Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators

Reference 8

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Observation 0053d785-b6cb-43c8-b74b-1bfdb24d6673 · outbound

This paper cites Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere.

DEF: Diffusion-augmented Ensemble Forecasting Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Reference 9

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Observation cfb97bad-7562-4ce6-9cc2-3cc1a324bb1a · outbound

This paper cites Bayesian Neural Networks.

DEF: Diffusion-augmented Ensemble Forecasting Bayesian Neural Networks

Reference 10

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Observation 7357d49a-6788-4ae9-aebc-b8c1c396ab52 · outbound

This paper cites an unresolved cited work.

DEF: Diffusion-augmented Ensemble Forecasting Unresolved cited work

Reference 11

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Observation a11b9d50-e2ef-45aa-a506-8622eca95046 · outbound

This paper cites Farquhar, M.

DEF: Diffusion-augmented Ensemble Forecasting Farquhar, M

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3d149926-b6e0-44fc-8306-bc0fe8330957 · outbound

This paper cites an unresolved cited work.

DEF: Diffusion-augmented Ensemble Forecasting Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fa5083f6-31d1-49ba-af66-25078fba7e82 · outbound

This paper cites Zhang, J.

DEF: Diffusion-augmented Ensemble Forecasting Zhang, J

Reference 14

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6e46e54a-0816-4a61-862c-6e8634083e02 · outbound

This paper cites Magnusson, M.

DEF: Diffusion-augmented Ensemble Forecasting Magnusson, M

Reference 15

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Observation 7ec92ab3-d199-44eb-be62-8ba0460ffb03 · outbound

This paper cites an unresolved cited work.

DEF: Diffusion-augmented Ensemble Forecasting Unresolved cited work

Reference 16

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Observation 95f36912-6a6b-4651-a034-546f5a8cfa93 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

DEF: Diffusion-augmented Ensemble Forecasting Denoising Diffusion Probabilistic Models

Reference 17

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Observation 2641e1b9-24e2-4c56-81f8-840cca9291cf · outbound

This paper cites CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer.

DEF: Diffusion-augmented Ensemble Forecasting CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer

Reference 18

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Observation 604fea46-289b-452f-91ae-3b894990a581 · outbound

This paper cites Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models.

DEF: Diffusion-augmented Ensemble Forecasting Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models

Reference 19

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation efa7c3b5-ba92-49fb-b937-deaa6d239f45 · outbound

This paper cites AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score.

DEF: Diffusion-augmented Ensemble Forecasting AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

Reference 20

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Observation 1e430938-3a58-48f3-ab31-5a5d9ff84b5f · outbound

This paper cites MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting.

DEF: Diffusion-augmented Ensemble Forecasting MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting

Reference 21

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Observation cd7fb88b-9ba1-48f9-80c3-08dfa8e252a4 · outbound

This paper cites Physics-Informed Neural Networks and Extensions.

DEF: Diffusion-augmented Ensemble Forecasting Physics-Informed Neural Networks and Extensions

Reference 22

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Observation e59084c8-0c62-47ff-9fd5-df5ec3df57d8 · outbound

This paper cites Graph Neural Networks: A Review of Methods and Applications.

DEF: Diffusion-augmented Ensemble Forecasting Graph Neural Networks: A Review of Methods and Applications

Reference 23

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Observation 4ec15af9-e42b-4d51-ae7b-1bdac4b699b0 · outbound

This paper cites Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

DEF: Diffusion-augmented Ensemble Forecasting Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Reference 24

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Observation 578cf565-7c26-47df-b5fd-e033f4bdfb87 · outbound

This paper cites Attention Is All You Need.

DEF: Diffusion-augmented Ensemble Forecasting Attention Is All You Need

Reference 25

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Observation b79ae15b-bb91-4df5-8541-5b366003c44a · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

DEF: Diffusion-augmented Ensemble Forecasting Attention U-Net: Learning Where to Look for the Pancreas

Reference 26

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Observation 14faaf7d-e0dd-4f7f-b30e-6da127f76a1a · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

DEF: Diffusion-augmented Ensemble Forecasting U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 27

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Observation 6f740b9e-af42-4384-bb97-4f075461f40a · outbound

This paper cites Classifier-Free Diffusion Guidance.

DEF: Diffusion-augmented Ensemble Forecasting Classifier-Free Diffusion Guidance

Reference 28

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Observation 77ad8c9d-6597-4a0f-b0ed-7adfd89d3674 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

DEF: Diffusion-augmented Ensemble Forecasting Diffusion Models Beat GANs on Image Synthesis

Reference 29

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Observation 8a93fdc0-1afe-4ac5-8046-0990563aabe3 · outbound

This paper cites DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

DEF: Diffusion-augmented Ensemble Forecasting DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Reference 30

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Observation 0ee9e867-9868-4142-802d-7a815d65bb4a · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

DEF: Diffusion-augmented Ensemble Forecasting DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 31

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Observation fce54f70-2185-40f5-ad9c-4434b56861b9 · outbound

This paper cites Runge-Kutta methods are stable.

DEF: Diffusion-augmented Ensemble Forecasting Runge-Kutta methods are stable

Reference 32

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Pith citing papers

No inbound Pith citation observations are available.