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Paper Citation Record · LEDGER

Exploring Convolutional Neural Processes for Weather Downscaling

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.04190.

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

pith.paper-citation-record.v1
2607.04190 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T21:04:36.555472Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

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  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 94a16a1a-8a6a-43cc-abe1-bde6012e87e6 · outbound

This paper cites Scott and Turner, Richard E.

Exploring Convolutional Neural Processes for Weather Downscaling Scott and Turner, Richard E

Reference 1

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:3b3bf2260dee27d91cb06f337097b7f4512738c1c41446924b162b1c0030dae4

Observation b9d6703f-aa4b-4b74-a16a-aae7ba323f70 · outbound

This paper cites an unresolved cited work.

Exploring Convolutional Neural Processes for Weather Downscaling Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:bda80ce3cac5256654321a545fc3c4929a430d899b7b97828d57abd95c766ed2

Observation 4c81bffb-6718-4a62-8643-c894395bba07 · outbound

This paper cites 2022 , url =.

Exploring Convolutional Neural Processes for Weather Downscaling 2022 , url =

Reference 8

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:780301bcc30749a0d48bf2e6d4d27bddc1f8da3687b71b84ca5c2eb68a4b5093

Observation fa669a1b-56f8-4539-81e3-3587e04882ef · outbound

This paper cites 2020 , url =.

Exploring Convolutional Neural Processes for Weather Downscaling 2020 , url =

Reference 9

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:f4678132428801c7d2a4e93f2740e84055efebceba8018ed70e04991eb4887ac

Observation 7685b96d-d7f6-4323-97e0-7edd8154e57a · outbound

This paper cites an unresolved cited work.

Exploring Convolutional Neural Processes for Weather Downscaling Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:c8f4a96f65de23aa3193862170c6ab2d0e0e8233e2c9d020011ccc965992d85e

Observation 06fd16be-d81a-4beb-9f55-bd2b9ae4fa19 · outbound

This paper cites Scott Hosking, and Richard E.

Exploring Convolutional Neural Processes for Weather Downscaling Scott Hosking, and Richard E

Reference 11

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verified exact
doi, observed 2026-07-11T21:08:16.354027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:8af46b3a5e3ef375a750f2c3f40b8ccc8e5136ce54077a74602c21b0ad0c40a9

Observation 24505bdb-6cb0-40a0-a30e-fcc0e969ecf3 · outbound

This paper cites Neural Processes.

Exploring Convolutional Neural Processes for Weather Downscaling Neural Processes

Reference 12

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:43be911912acdcd4d88717cdff3828603789a25b1ebe5f94d63b8e4893a1b730

Observation e34c9da3-eea2-4fca-ba66-04250a1d55c1 · outbound

This paper cites Convolutional Conditional Neural Processes.

Exploring Convolutional Neural Processes for Weather Downscaling Convolutional Conditional Neural Processes

Reference 13

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:edb077fde2e80b77d9ffb7623fc7e6aa25e00993c7a079506af0f5c5677cc01a

Observation ead6913a-577d-4ff6-be21-0e5238c944e7 · outbound

This paper cites Conditional Neural Processes.

Exploring Convolutional Neural Processes for Weather Downscaling Conditional Neural Processes

Reference 14

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:ac46cb29876869dc9c6e7e5ad32bffe87f80203eaa2b7cd6bbe49138f672c788

Observation 768b917c-a267-48a1-878e-40b8826a8b8c · outbound

This paper cites Attentive Neural Processes.

Exploring Convolutional Neural Processes for Weather Downscaling Attentive Neural Processes

Reference 15

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:6e1786bcdb9a9333b7de906d78419ddc0f17f3fdadb9675fa36ad0db55de2440

Observation 5a7ac46c-e422-402c-938b-9aad28cb1e30 · outbound

This paper cites ERA5-Land hourly data from 1950 to present.

Exploring Convolutional Neural Processes for Weather Downscaling ERA5-Land hourly data from 1950 to present

Reference 16

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:75189389217420ad86a8dae7143bdbd3a45ddfb5289c68749dd1031c0b6fd355

Observation b0fab644-15c7-4076-b04a-487e8538f707 · outbound

This paper cites Daily mean, minimum and maximum temperature: TabsD , TminD , TmaxD.

Exploring Convolutional Neural Processes for Weather Downscaling Daily mean, minimum and maximum temperature: TabsD , TminD , TmaxD

Reference 17

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:34c8400acf596460ecc5f2c219d051347480e2409882462122f9feeb90d612d0

Observation 1c5c5d12-3eb0-42f5-9f11-f33a1315b67c · outbound

This paper cites DHM25 : Digital height model of Switzerland (25\,m resolution).

Exploring Convolutional Neural Processes for Weather Downscaling DHM25 : Digital height model of Switzerland (25\,m resolution)

Reference 18

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:f86df822989c3be6a6af1a96a326d6e1ca959b8de00766bb4349d2a802a01aa6

Observation b68a23e7-7294-45c8-bb51-5fc9a4eced5c · outbound

This paper cites convCNPClimate : Implementation of convolutional conditional neural processes for statistical downscaling (source code), 2022.

Exploring Convolutional Neural Processes for Weather Downscaling convCNPClimate : Implementation of convolutional conditional neural processes for statistical downscaling (source code), 2022

Reference 19

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:c384558ce44532665ac04d49d57657cc8e3b51b8d50ebbca5216050b3ba8b929

Observation 06e64e62-bd50-457f-b594-be20b2dd3963 · outbound

This paper cites Neural process family, 2020.

Exploring Convolutional Neural Processes for Weather Downscaling Neural process family, 2020

Reference 20

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:5e0da6da738c567b34a353a929f8b6b7bd228893522ad9144d97b9c1dfa85592

Observation 56442dc6-9fe1-47fd-8fdd-f71ffba3ac08 · outbound

This paper cites Renku: a platform for reproducible and collaborative data science.

Exploring Convolutional Neural Processes for Weather Downscaling Renku: a platform for reproducible and collaborative data science

Reference 21

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:6c8d1e1b30094c089c9cb679bd9f0756771463728a6e3138e707c6fb7e48dfd4

Observation f7dd7621-e99e-4964-b1c7-0a0cad25cef2 · outbound

This paper cites On Calibration of Modern Neural Networks.

Exploring Convolutional Neural Processes for Weather Downscaling On Calibration of Modern Neural Networks

Reference 22

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source=arxiv_source observed=2026-07-11T21:04:36.555472Z digest=sha256:e3457b18e85d147bed82793e632b8be6f98c8f44a6c13658a07ef66889f887f1

Pith citing papers

No inbound Pith citation observations are available.