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Paper Citation Record · LEDGER

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes

As of 7 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2507.06527.

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

pith.paper-citation-record.v1
2507.06527 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:25.789582Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T02:29:51.948373Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T02:34:13.582729Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact8
  • verified fuzzy33
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc78469c-e872-44e2-9320-2a00bfeed406 · outbound

This paper cites E., Lenderink, G., van Meijgaard, E., and van den Hurk, B.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes E., Lenderink, G., van Meijgaard, E., and van den Hurk, B

Reference 1

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Observation e39e6835-e7e0-47b4-935b-30552b055a72 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 2

Resolution
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Source-reported events for the cited work

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Observation ba91c0dc-4fdb-4fc2-9881-b874c826128f · outbound

This paper cites Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales

Reference 3

Resolution
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Source-reported events for the cited work

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Observation db671c95-b27b-4541-a032-86fe2036a556 · outbound

This paper cites S., Rampal, N., and Gibson, P.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes S., Rampal, N., and Gibson, P

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 3c897ac5-0157-4332-b3d0-2d4ff23c72b4 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 5

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Source-reported events for the cited work

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Observation b3db0e2c-bb36-49b9-8e2d-0661a84d4cc0 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 6

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Observation 3f4fe081-f17e-4f8b-9021-e95d063216ab · outbound

This paper cites and Hodges, K.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes and Hodges, K

Reference 7

Resolution
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Source-reported events for the cited work

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Observation d73fadab-b7ee-4506-9c8c-e9ceb5ad7d69 · outbound

This paper cites L., López-Zurita, C.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes L., López-Zurita, C

Reference 8

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Source-reported events for the cited work

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Observation 37b6f8ab-5af9-4580-bf20-751c53d1a79a · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation efe164a1-b122-44ad-8269-9a9b2500cbee · outbound

This paper cites B., Stuart, S., Broadbent, A.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Stuart, S., Broadbent, A

Reference 10

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Observation 000ee583-a6e9-4ca0-b2a1-21111d0621b5 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 11

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Observation c35b286e-c4d2-439d-bec6-d374ba34ca1a · outbound

This paper cites K.-H., and Takbash, A.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes K.-H., and Takbash, A

Reference 12

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Source-reported events for the cited work

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Observation 5278ce8e-6b8e-4925-9b66-574fabcf4555 · outbound

This paper cites C., Xie, S.-P., and Dai, X.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes C., Xie, S.-P., and Dai, X

Reference 13

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Source-reported events for the cited work

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Observation 53f167cd-2c3f-43bc-9370-2900ea007218 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation dc0946ed-569c-4512-811b-33a93a27f7ca · outbound

This paper cites B., Ault, T., Delworth, T.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Ault, T., Delworth, T

Reference 15

Resolution
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Observation 9831cf1e-1c90-4417-b4ce-23dcb1160c59 · outbound

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Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 4b0465af-43ae-4844-867d-917ea03bf47c · outbound

This paper cites S., Alexander, M.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes S., Alexander, M

Reference 17

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Observation d68972ca-d3cf-4581-b509-29bac87645cb · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 18

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Observation f2bae740-5986-4660-854d-ae0cdbdd0ab8 · outbound

This paper cites P., Di Luca, A., Grose, M.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes P., Di Luca, A., Grose, M

Reference 19

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Observation 49901443-82b1-49a2-991a-4326c741028b · outbound

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Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 20

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Observation de73e2ef-f67a-4815-8c91-d369c1a19c7e · outbound

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Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 21

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Observation 44ae1972-adeb-4bf4-bdc4-c3c01b2a8bfa · outbound

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Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 22

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Observation a0d25c91-c197-4fa8-9ff9-e08a9ac7209f · outbound

This paper cites B., Broadbent, A.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Broadbent, A

Reference 23

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Observation 2041baa1-ae0f-4604-9693-6b84ecf21b18 · outbound

This paper cites B., Rampal, N., Dean, S.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Rampal, N., Dean, S

Reference 24

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Observation bd24e6bc-7dfe-43fe-a6fe-0e57e0d2e6a5 · outbound

This paper cites B., Stuart, S., Sood, A., Stone, D., Rampal, N., Lewis, H., Broadbent, A., Thatcher, M., and Morgenstern, O.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Stuart, S., Sood, A., Stone, D., Rampal, N., Lewis, H., Broadbent, A., Thatcher, M., and Morgenstern, O

Reference 25

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Observation 53df3f20-62c6-44a5-baf5-afdad66d17c9 · outbound

This paper cites S., and Bates, G.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes S., and Bates, G

Reference 26

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Observation d88c27d0-b4d7-4eb9-87db-06be2cf419a0 · outbound

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Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 27

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Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 28

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Observation 0cd84511-924c-4f46-ab8a-dbe9a16ffd37 · outbound

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Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 29

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Observation 05df7966-934c-44d4-b381-9b4182da1cd4 · outbound

This paper cites J., , Peter B., G., , Nicolas, F., , Hamish, L., , Dave, F., , and Rosier, S.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes J., , Peter B., G., , Nicolas, F., , Hamish, L., , Dave, F., , and Rosier, S

Reference 30

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Source-reported events for the cited work

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Observation d4c5c45f-94ce-4fcc-92da-a85dba136891 · outbound

This paper cites S., Gregory, J.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes S., Gregory, J

Reference 31

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Source-reported events for the cited work

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Observation 878aad5c-7049-41aa-8b98-5da95a201144 · outbound

This paper cites and Sutton, R.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes and Sutton, R

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8fd21e64-debc-4ecc-9328-3c2fc56a1fd8 · outbound

This paper cites and Sutton, R.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes and Sutton, R

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ed255b06-3dc2-4254-ac43-c161d88ebd1c · outbound

This paper cites A., Domínguez, M., and Rodríguez-Camino, E.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes A., Domínguez, M., and Rodríguez-Camino, E

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f66b3a2f-1d14-40b5-9e61-80d527fe2e0e · outbound

This paper cites B., Edwards, N.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Edwards, N

Reference 35

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raw_fallback, observed 2026-08-06T19:05:26.641923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.628387Z digest=sha256:3469f17d752f644f0d48f82983ef30d8d13981ea7f7d60acb2e2a7a2fed5b86f

Observation 75d3ae68-64b7-43f2-b3c2-4d26d9649e06 · outbound

This paper cites J., Addison, H., Doury, A., Somot, S., Watson, P.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes J., Addison, H., Doury, A., Somot, S., Watson, P

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.628164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.632562Z digest=sha256:9a15a3fefa6a9e545d05aef7b39ad935682bf5bd6b2f6554c39f863286e19b14

Observation fd8c3e8b-74ed-415d-a038-d72ed896defc · outbound

This paper cites J., Fischer, E.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes J., Fischer, E

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.613487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.636529Z digest=sha256:98259c926616e632a5a4eab37673b0a00ab6b8b29eb899d36d69543f9b6ae5de

Observation 00a1ba91-8c7d-4e7e-941e-ec9826df0cd3 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.600710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.641024Z digest=sha256:857f3619ac8b06d2a4a49737c61a77953ba70992a750c52f1057c88e58594a33

Observation 57e3206e-2593-46c1-b0b2-31f85380d10c · outbound

This paper cites B., Giguère, M., Brissette, F., Turcotte, R., Braun, M., and Scinocca, J.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Giguère, M., Brissette, F., Turcotte, R., Braun, M., and Scinocca, J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.586689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.644985Z digest=sha256:37ee168384309b304341418e46456db25054aa665fa1a7e510ff5d9166d784df

Observation dd26a0ed-04c7-4f9b-994f-2d4f03eff748 · outbound

This paper cites and Deser, C.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes and Deser, C

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.572276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.649296Z digest=sha256:54e1b9432e4bcf1ae84589b56bafaf1657a7acaaf96ef58c2a2559aa785efda0

Observation 9f4b7aed-664e-463d-8b1b-4a26ef842479 · outbound

This paper cites M., Brunner, L., Knutti, R., and Hawkins, E.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes M., Brunner, L., Knutti, R., and Hawkins, E

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.558660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.653638Z digest=sha256:590bc3d5787e0ff1506e011f2b98022ba8f5fb4310be74edd57e10fb4fa7a26f

Observation 752f0163-8195-47f9-addb-ccf7b55219a0 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.543598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.658332Z digest=sha256:ae349b1f96923b0fbf8b9d4916f96575d34dbf5ea201ff103feda6ece79b9012

Observation 22a304d2-fb1b-4986-b34d-7d707a0482b9 · outbound

This paper cites Y., Zepeda-Núñez, L., Schneider, T., Anderson, J., and Sha, F.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Y., Zepeda-Núñez, L., Schneider, T., Anderson, J., and Sha, F

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.529812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.662550Z digest=sha256:40ccf87aa7550ba58c79f9b9d90efed4482c65374c7c22d8cae15b05508e991b

Observation 9986fa2c-fec9-4446-9e6e-fe8f7f78a714 · outbound

This paper cites L., , and Smith, L.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes L., , and Smith, L

Reference 44

Resolution
verified exact
doi, observed 2026-08-06T19:05:25.881460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.667373Z digest=sha256:faacae99b1e0318f3ae47df8acaa6f6eea4e95c46e815f92f6d28e1e8d33a40e

Observation 2e087714-dad0-4b6b-9a68-d84c080baa6a · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.515182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.671435Z digest=sha256:de49628c921699df51478eac4f640f28235e047fe9f27b299cdcf67bfe36864d

Observation bc572ab0-d521-4bc0-88e4-c647219743b3 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.500122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.675454Z digest=sha256:1b2bfe819d20653afdac4c3249431013cda8e85316212bf06085483a573ecee1

Observation c9b610c1-2b1f-448e-b5cc-f16168b5ba91 · outbound

This paper cites M., Chandler, R.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes M., Chandler, R

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:25.679607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:05:25.679607Z digest=sha256:fe644e6f50c14eaed669515fd3807ee913d4765b1b85b5804210e1f38d0f8f70

Observation 10e577c0-a306-403e-b0c9-1bd6cc709ccd · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.485653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.683750Z digest=sha256:680b13385115ab9e2b69929776c9e39811354eede69b5c604fc7d893eace7b7b

Observation 162d55ad-0557-468d-8279-e49be695c991 · outbound

This paper cites A., Arblaster, J.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes A., Arblaster, J

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.472287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.687586Z digest=sha256:e9dd7013bd1de7a1d3aa4f97fe8e42240c65e1245fbfb4595aca93fa437e94cd

Observation 77e880b4-1b4b-4fb0-9540-ede763b98174 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.458038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.691928Z digest=sha256:69893ce6af3acb54cc5a400c7ee63e2ac0c1c19679c89ab5db2f5809719edb5b

Observation ba9160b6-f5e2-43a3-aeab-2acd8d1d0290 · outbound

This paper cites Conditional Generative Adversarial Nets.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Conditional Generative Adversarial Nets

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:25.695946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:05:25.695946Z digest=sha256:b3e775bb1ada861dfc2a2840bac4debba06e737f29c8b03363d2d2aff86b5efe

Observation 4febaefb-c9e8-45c2-9398-6f63d7e1b75a · outbound

This paper cites G., Knutti, R., Lehner, F., Deser, C., and Sanderson, B.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes G., Knutti, R., Lehner, F., Deser, C., and Sanderson, B

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.444385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.701209Z digest=sha256:1d27c38fefc644d30c28f8978b238b83edda18b806dc36ebaee24a76ed4b365d

Observation 63c0fdd7-4488-4402-b713-26e59e850d19 · outbound

This paper cites and Ludwig, R.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes and Ludwig, R

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.429706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.705281Z digest=sha256:f4677665153a46549e87fb0ea01c9404be9d1a75fb5a49be7127fde2bf854df6

Observation a44abe6e-ef62-416f-b2e4-1b2a193fca49 · outbound

This paper cites On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:05:25.986964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.709373Z digest=sha256:336332f42eb5831f994de562ec09b60e278b9d7104dd6f8c5d642f9f05d27727

Observation 763c3e2b-21b4-4cff-8f8a-65bccd37931c · outbound

This paper cites B., Sherwood, S., Abramowitz, G., and Hobeichi, S.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Sherwood, S., Abramowitz, G., and Hobeichi, S

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:25.713795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:05:25.713795Z digest=sha256:262a2f4848a88763ce8cf9fd85e14159863ad1b899e596244f71bd9e979b6a06

Observation f1d1a814-3c9a-49b6-9611-a8d900d1378c · outbound

This paper cites B., Sood, A., Stuart, S., Fauchereau, N.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Sood, A., Stuart, S., Fauchereau, N

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.413936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.718215Z digest=sha256:539a57c8617d2131c5e408786e9d70d6c7a60eac5642a75357e5cacf063635e0

Observation 29ecbbb9-88c4-4214-a7a1-941b7a02694a · outbound

This paper cites B., Baño-Medina, J., Abramowitz, G., Beucler, T., González-Abad, J., Chapman, W., Harder, P., and Gutiérrez, J.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes B., Baño-Medina, J., Abramowitz, G., Beucler, T., González-Abad, J., Chapman, W., Harder, P., and Gutiérrez, J

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.399581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.723087Z digest=sha256:765adb5a667b5c1e20514e55ce7fcc33695242665c740b684985888dea39d609

Observation ec8370ca-b641-423f-aa14-0dd3a51d4003 · outbound

This paper cites and Braun, M.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes and Braun, M

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.384685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.727336Z digest=sha256:679ddd1d552da039183a765d28438a2503d646c12b368b4dcf55fa47d01f04ac

Observation 24195859-0390-4902-9f6c-3c9594baa8ab · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 59

Resolution
verified exact
doi, observed 2026-08-06T19:05:25.843968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.731637Z digest=sha256:b09de3063f6b08b0e52400d7fd188c74536408f3dd68108221275c60d12e910b

Observation bb76a71e-a0b1-482d-87c1-9f2f92a4ac2f · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.370473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.738883Z digest=sha256:8c5f62eb5dbb177591d0618bd283cd1b1007b47af9829288aaf5aa05ac69e84a

Observation fb21729f-3e89-4f40-b357-643231f1ac51 · outbound

This paper cites C., Cole, J.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes C., Cole, J

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.355694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.743530Z digest=sha256:d562352f5c953b3f13bfaf8dcac44d3bb6e8619c0f930aec53667e1ec04a603d

Observation 585ea923-d00d-4f46-b4e6-4c40fa3e376b · outbound

This paper cites L., Schär, C., Lüthi, D., and Kjellström, E.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes L., Schär, C., Lüthi, D., and Kjellström, E

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.341694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.747483Z digest=sha256:13122873d537e0ff4b3405c68f8f6b069220044117055bd65abba5ded0635f0b

Observation 7eddb740-dab1-496e-a4cc-aed217234f8a · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 63

Resolution
verified exact
doi, observed 2026-08-06T19:05:25.828770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.751684Z digest=sha256:e54f1ff39e683b65c9a936b1dc91b1adfdddddd49320f1b6aad5d2da80b98eda

Observation b58cb0fd-8d16-4935-89f9-19ebb7837d6b · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.328155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.755549Z digest=sha256:cfefe389df598af1a084ad165c3239682e1ddc1d7fb66ce905fac4181138c0dc

Observation b54b0a08-54a2-4c19-964d-86cd18e38775 · outbound

This paper cites and McGregor, J.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes and McGregor, J

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.314233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.759803Z digest=sha256:b313efb0b5555b5a7a4cc619f334f08cdf5cf1d3450fcc015239b8415fda0fe9

Observation 95f2a365-22e2-4a87-a7e0-75e545ac1ab0 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.298838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.764926Z digest=sha256:82080bfccfd60275ebe43d8720fa6a989a5bc92f35c9139372bda0f2b4351bc0

Observation 7ec70277-4154-411f-a20c-a08405a5f1c0 · outbound

This paper cites R., Lehner, F., Pendergrass, A.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes R., Lehner, F., Pendergrass, A

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.284383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.768889Z digest=sha256:68c2f87908e22ce520ef15aba16695f8119844df47b22ba92e4495d2e85df42c

Observation d54b9f8c-2517-47f1-9226-ef251e8af5d4 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.268398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.773199Z digest=sha256:de95f24ef97a08213abf3ec89922e1a6b8c98163e273c5eda7eccf727803c569

Observation a58c418b-9526-4d4a-908a-0af83e562572 · outbound

This paper cites L., and Held, I.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes L., and Held, I

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.253291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.777147Z digest=sha256:6439f8b32362a0dc0f6dc89b9012a6e3f001d1f0d354d8f4dbe2ce42e7fab9bf

Observation d96c432e-5a3c-4b7d-a566-0b5b2b2f58db · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.238985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.781420Z digest=sha256:35ca901c445c331804cb76d567d4c5e3354dea95bf23551f7bd2099cdeb64268

Observation 7fcc147b-0b58-461b-8ecb-8d5192fdc5a7 · outbound

This paper cites an unresolved cited work.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes Unresolved cited work

Reference 71

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This paper cites A., Law, R.

Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes A., Law, R

Reference 72

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Pith citing papers

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EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules cites this paper.

EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes

Reference 45

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arxiv_id, observed 2026-07-27T00:19:43.325732Z

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CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview cites this paper.

CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes

Reference 10

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arxiv_id, observed 2026-07-27T00:19:43.325732Z

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