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Paper Citation Record · LEDGER

Global spatio-temporal downscaling of ERA5 precipitation through generative AI

As of 14 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2411.16098.

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

pith.paper-citation-record.v1
2411.16098 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

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measured 77 of 77 standing notices

One-hop event checks from named stored sources.

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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

77 of 77 outbound references displayed

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  • verified fuzzy19
  • unresolved47
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfe3521e-4a8c-45b0-8897-d7a1234073ce · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 1

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Wenz, L

Reference 2

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Observation e953adab-b550-488e-9658-d806824d9be3 · outbound

This paper cites K., Gerber, J.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI K., Gerber, J

Reference 3

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Obled, C

Reference 5

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 6

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Tamm, T

Reference 7

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 8

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 9

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 10

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 11

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 15

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Observation 9b96c14c-2d0c-4ebb-b1a9-144e40976926 · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Wenz, L

Reference 16

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Source-reported events for the cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 17

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Observation 478e7d77-e4d5-48d6-8015-da720641f22a · outbound

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

Global spatio-temporal downscaling of ERA5 precipitation through generative AI GraphCast: Learning skillful medium-range global weather forecasting

Reference 18

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Observation 092c8352-ad3a-461f-ae57-0b94b8a49cbb · outbound

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

Global spatio-temporal downscaling of ERA5 precipitation through generative AI FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 19

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Observation 8d1c7775-f015-411d-9147-a85aab16335c · outbound

This paper cites AIFS -- ECMWF's data-driven forecasting system.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI AIFS -- ECMWF's data-driven forecasting system

Reference 20

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Reference 21

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI A., Simmons, A., Vamborg, F

Reference 22

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI G., Keenan, T

Reference 25

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI A., Semenov, V

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI The rise of data-driven weather forecasting

Reference 27

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Samimi, C

Reference 29

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI R., Livneh, B., Barsugli, J

Reference 30

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI L., Thompson, E

Reference 31

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Chwala, C

Reference 32

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Observation 7251dece-8535-4251-811f-96525a0d0875 · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Berne, A

Reference 33

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Observation 9b82a4de-1aaf-487d-b9f3-8a0948bd18c7 · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Ban, N

Reference 34

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Observation 1b93f814-d472-4bcd-845e-e468cc192477 · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation 4e7f61ce-cf5b-4096-87ca-23fdb2bc08bc · outbound

This paper cites Increasing the accuracy and resolution of precipitation forecasts using deep generative models.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Increasing the accuracy and resolution of precipitation forecasts using deep generative models

Reference 36

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Observation a1e5dfaa-eac7-4ce0-bd35-a6c5e3b1f95a · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 37

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Source-reported events for the cited work

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Observation e9666652-40eb-4612-91f7-9e0847cb375f · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 38

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 99713c32-ae7b-45e6-adfd-358b25a2a024 · outbound

This paper cites v., Provenzale, A.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI v., Provenzale, A

Reference 39

Resolution
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Source-reported events for the cited work

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Observation 7ded3f1e-cba3-4402-9512-fd0937d05166 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 40

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 02f4a5ec-80b3-4ff0-9c34-c282f9c9f325 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 41

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 d4045a53-4a91-48fa-ba95-97b0c473b205 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 42

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

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Observation 177148e4-a0ed-4ab9-b1c1-e19cd7d63349 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 43

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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 65bed39d-22ed-4347-a3cf-43fffe45bbbc · outbound

This paper cites & Lovejoy, S.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Lovejoy, S

Reference 44

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cc13c37f-71b8-465b-b72f-5655bc8a52d4 · outbound

This paper cites String of Beads.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI String of Beads

Reference 45

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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 a7551639-32a8-4bf3-8ae5-fd1e44b94656 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 46

Resolution
unresolved
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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 4a5e2609-2ada-4ba9-9995-ae9e200cc34f · outbound

This paper cites Decoupled Weight Decay Regularization.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Decoupled Weight Decay Regularization

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 532c864f-79ec-4e53-93d1-92553f8f35d7 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 48

Resolution
unresolved
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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 8be3f392-3a3c-43a1-82ca-8c6d2b7d8b00 · outbound

This paper cites Direct 4D-Var Assimilation of NCEP Stage IV Radar and Gauge Pre- cipitation Data at ECMWF.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Direct 4D-Var Assimilation of NCEP Stage IV Radar and Gauge Pre- cipitation Data at ECMWF

Reference 49

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 032663b9-5ca2-4a27-9e72-f0080f7e04cc · outbound

This paper cites & Mitchell, K.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Mitchell, K

Reference 50

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 7cbb8726-a0ad-4342-91f6-6f8c63c01177 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 51

Resolution
unresolved
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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 cb727016-9b70-448d-b568-4831ec7f860e · outbound

This paper cites & Franc´ es, F.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Franc´ es, F

Reference 52

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 d07fc939-3dbd-4a46-9766-e1d3787f2ca4 · outbound

This paper cites & Peng, J.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Peng, J

Reference 53

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 23f08058-d8a1-43a1-8b78-d7affde4120e · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 54

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 1c20a407-565d-4da9-a037-390ed54ca7f8 · outbound

This paper cites an unresolved cited work.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Unresolved cited work

Reference 55

Resolution
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Source-reported events for the cited work

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This paper cites an unresolved cited work.

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Reference 56

Resolution
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Source-reported events for the cited work

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Reference 57

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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 c664cf14-588a-4bf3-a0af-2afa66ad3645 · outbound

This paper cites an unresolved cited work.

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Reference 58

Resolution
unresolved
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Source-reported events for the cited work

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Observation f4091aab-29ef-487e-9610-a6a05b2e8cee · outbound

This paper cites & Velasco-Forero, C.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Velasco-Forero, C

Reference 59

Resolution
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Source-reported events for the cited work

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Observation fa6453d4-4bfb-4df1-95f1-8538c408b8ab · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Sharma, A

Reference 60

Resolution
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Source-reported events for the cited work

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Observation 0c64fffe-954c-4bba-ad5c-7f373745a94f · outbound

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Reference 61

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Source-reported events for the cited work

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Observation d0c03d0d-c877-48e3-be45-ce0a190fd0a0 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 62

Resolution
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Source-reported events for the cited work

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Reference 63

Resolution
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Source-reported events for the cited work

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Observation 802fc0bc-3c07-403f-92f5-d81dc2f3a677 · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Efros, A

Reference 64

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Source-reported events for the cited work

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Observation ab237ce1-bd62-4e84-8a92-e51b549bbe8e · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Raftery, A

Reference 65

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fdc7266a-c9bb-420f-be00-a81d236968cd · outbound

This paper cites Assessing the spatial and temporal variation in the skill of precip- itation forecasts from an NWP model.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI Assessing the spatial and temporal variation in the skill of precip- itation forecasts from an NWP model

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d32a057b-d37c-46c0-aa66-795558e0562e · outbound

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Reference 67

Resolution
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Source-reported events for the cited work

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Reference 68

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 0431182d-feef-465a-9589-668e6f5eaee7 · outbound

This paper cites & Pegram, G.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Pegram, G

Reference 69

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Source-reported events for the cited work

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Observation fb0eba31-f5a7-4a59-bf0c-0eb025dcd721 · outbound

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Global spatio-temporal downscaling of ERA5 precipitation through generative AI & Talagrand, O

Reference 70

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Source-reported events for the cited work

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Observation 0d6e6870-49c3-4837-aa63-d198082d844e · outbound

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Reference 71

Resolution
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Source-reported events for the cited work

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Observation ac8f4a50-5888-4608-84c6-28247bc890ab · outbound

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Reference 72

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Source-reported events for the cited work

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Observation 661372de-dea3-4b48-9620-29a934bc37c7 · outbound

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Reference 73

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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 954beee7-08f9-4b71-9db0-5760a897d4e7 · outbound

This paper cites an unresolved cited work.

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Reference 75

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Source-reported events for the cited work

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Observation 77c665e8-d614-47e6-989c-35a93884f3c4 · outbound

This paper cites an unresolved cited work.

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Reference 76

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 65486ea9-cdd1-4292-87b5-f95d7dd716fd · outbound

This paper cites The distribution of the thresholds ε1 and ε2 is shown in Fig.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI The distribution of the thresholds ε1 and ε2 is shown in Fig

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:45:00.619226Z

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=2026-08-12T14:45:00.151294Z digest=sha256:9b2a92672cc32b1b1429b964599562b5b3cdfca57847ada80f40e080d6a7a95f

Observation 3e926d8a-4b59-441f-8dce-d2ba4fbad9e5 · outbound

This paper cites URL https://onlinelibrary.wiley.com/doi/abs/10.1002/qj.4174.

Global spatio-temporal downscaling of ERA5 precipitation through generative AI URL https://onlinelibrary.wiley.com/doi/abs/10.1002/qj.4174

Reference 1950

Resolution
unresolved
no resolver link, observed 2026-08-12T14:45:00.066298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.