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Paper Citation Record · LEDGER

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting

As of 13 August 2026, this Paper Citation Record lists 100 of 160 outbound references and 0 inbound Pith citation observations for arXiv:2607.21200.

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

pith.paper-citation-record.v1
2607.21200 v1

Coverage vector

measured 100 of 160 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:14:06.656761Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

100 of 160 outbound references displayed

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  • verified fuzzy0
  • unresolved98
  • parse uncertain0
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External citation measurements

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Outbound references

Observation b8f12f05-c6c4-4085-ac73-cac03faa9664 · outbound

This paper cites an unresolved cited work.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 1

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Observation 54db33b5-814f-4d03-ad0a-85fc9c41e497 · outbound

This paper cites an unresolved cited work.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 2

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Observation 855e6103-c180-4fa6-9d0a-4e45b9ff2d98 · outbound

This paper cites an unresolved cited work.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 3

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Observation 021819a8-af67-4839-a529-6e297115fbed · outbound

This paper cites Chintala, and L.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Chintala, and L

Reference 5

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Observation 0885bade-3dcc-460f-8af5-36ad39439dcb · outbound

This paper cites Cho, and Y.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Cho, and Y

Reference 6

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Observation fc2f29e6-edf3-4975-a390-e0a65e2a7e05 · outbound

This paper cites Balaji, and Z.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Balaji, and Z

Reference 7

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Observation c15f624f-a8d8-46e2-bc2a-bbb0329b0391 · outbound

This paper cites Janati, G.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Janati, G

Reference 8

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Observation 6dc47a26-04dd-430d-923f-a6ca881e6d39 · outbound

This paper cites Desassis, F.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Desassis, F

Reference 9

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Observation edea3c2c-d270-4f0d-9a4c-44a4105f55d5 · outbound

This paper cites Donahue, and K.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Donahue, and K

Reference 10

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 11

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This paper cites an unresolved cited work.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 12

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This paper cites an unresolved cited work.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 13

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 14

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This paper cites an unresolved cited work.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Continuous diffusion for categorical data

Reference 18

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Observation e7e001ac-f4fe-4f7f-84e3-50ebeb35a48a · outbound

This paper cites Fang, and C.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Fang, and C

Reference 19

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Observation de9335fa-9155-495d-893e-8298e6d9242c · outbound

This paper cites Pouget-Abadie, M.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Pouget-Abadie, M

Reference 20

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 21

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 22

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 23

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Savatier, and B

Reference 24

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Lintern, J

Reference 25

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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This paper cites Zhang, S.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Zhang, S

Reference 27

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This paper cites Lässig, S.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Lässig, S

Reference 28

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Noutahi, J

Reference 32

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Laine, and T

Reference 33

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Klotz, C

Reference 36

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Reference 37

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Renard, and J

Reference 38

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Royer, D

Reference 40

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Benoit, and D

Reference 42

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Reference 43

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This paper cites Zhang, C.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Zhang, C

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Reference 46

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Le Moigne, Y

Reference 47

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Saeed, M

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Reference 49

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Cromwell, B

Reference 50

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Fischer, and T

Reference 51

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

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Reference 57

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Reference 58

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Observation a7da9758-d466-4912-9941-9338909cb905 · outbound

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting van Wijk , W

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Observation eb8615a8-8c20-4dc8-8415-1491226828d5 · outbound

This paper cites (2016, 03).

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting (2016, 03)

Reference 60

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Shazeer, N

Reference 61

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Observation fa096fe5-27a7-4bf9-99c6-523d83cf93c5 · outbound

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Studer, and J

Reference 62

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Observation 62502467-f37c-4c7f-93db-1500d0568390 · outbound

This paper cites Zhang, S.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Zhang, S

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Observation 0c024430-068a-4dd8-b736-2a23decd4b1a · outbound

This paper cites Zhang, P.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Zhang, P

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Kojima (2022)

Reference 65

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Observation acb4d083-462e-4eb5-a48a-379bc5b26cb0 · outbound

This paper cites Wang, and X.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Wang, and X

Reference 66

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Reference 67

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Reference 68

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 69

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unresolved cited work

Reference 70

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Observation 8862e46b-1f50-4863-ae2d-cb92f16a735a · outbound

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Rao, and M

Reference 71

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Generative Adversarial Networks , volume =

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Denoising Diffusion Probabilistic Models , url =

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Diffusion Models Beat GANs on Image Synthesis , url =

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Time Series Analysis: Forecasting and Control,5th Edition, by George E

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Can a Training Image Be a Substitute for a Random Field Model? , volume =

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Observation fb0081c9-3d38-4e43-9de9-e44066477810 · outbound

This paper cites Jha and Beatrice M.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Jha and Beatrice M

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Observation 6bbbddc5-b2d6-4e73-883c-f696ae812cac · outbound

This paper cites and Srivastava, M.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting and Srivastava, M

Reference 79

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting , title =

Reference 80

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting 1Introduction

Reference 81

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Observation a5caad8e-e1a1-4674-b49d-300bee3bec4a · outbound

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Observation 6d6e125b-9d6f-4ad7-922c-cd1bdb5543b6 · outbound

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Armstrong , title =

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This paper cites Towards Principled Methods for Training Generative Adversarial Networks.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Towards Principled Methods for Training Generative Adversarial Networks

Reference 84

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This paper cites International conference on machine learning , pages=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting International conference on machine learning , pages=

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Observation c85f4af8-de90-43a5-ad5f-b9b1e2bb9cc4 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Large Scale GAN Training for High Fidelity Natural Image Synthesis

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Observation e89a7a07-667a-4043-962b-956927c2aef9 · outbound

This paper cites Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

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Observation d9658938-5244-426b-a8e3-ff09a0ce3905 · outbound

This paper cites A stable deep adversarial learning approach for geological facies generation , journal =.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting A stable deep adversarial learning approach for geological facies generation , journal =

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This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 89

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This paper cites Advances in neural information processing systems , pages=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Advances in neural information processing systems , pages=

Reference 90

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting 2014 , eprint=

Reference 91

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Observation 3747ea5e-56e5-4bf0-a572-f0d7ec408aa5 · outbound

This paper cites ArXiv , year=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting ArXiv , year=

Reference 92

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Observation e3169960-0f19-41b6-9b5e-5243c4c72fc5 · outbound

This paper cites Ladder Variational Autoencoders , url =.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Ladder Variational Autoencoders , url =

Reference 93

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting 2016 , Address =

Reference 94

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Observation 87d7abcf-395e-467c-9ef7-d450afda0344 · outbound

This paper cites Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18 , pages=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18 , pages=

Reference 95

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Observation 7e070966-733c-4398-a8d3-eefe8df28d17 · outbound

This paper cites Conditional Generative Adversarial Nets.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Conditional Generative Adversarial Nets

Reference 96

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting 2022 , eprint=

Reference 97

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Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting ArXiv , year=

Reference 98

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Observation ac4bdf68-6a26-43b5-bbab-cc19ff2b9092 · outbound

This paper cites Proceedings of the 33rd International Conference on Neural Information Processing Systems , articleno =.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Proceedings of the 33rd International Conference on Neural Information Processing Systems , articleno =

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Observation c5381215-ee0c-45ec-99ad-def32c86a38c · outbound

This paper cites CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation , url =.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation , url =

Reference 100

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Observation 9f8fb531-f1cc-4d95-a6b9-b3cd9fad7694 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Denoising Diffusion Probabilistic Models

Reference 101

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This paper cites Pattern recognition , volume=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting Pattern recognition , volume=

Reference 102

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Observation 65eb69c8-31c7-4bb9-b7d2-17dad5a19bb4 · outbound

This paper cites 2025 , eprint=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting 2025 , eprint=

Reference 103

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Observation a76fe4d7-12c3-48d7-b7cc-b8d20beac1fb · outbound

This paper cites LSTM Fully Convolutional Networks for Time Series Classification , volume=.

Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting LSTM Fully Convolutional Networks for Time Series Classification , volume=

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