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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 9 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 2026-08-09T06:31:02.800959+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

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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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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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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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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

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 16

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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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Observation 5cb50984-52a7-473d-83ae-5b65389d9736 · 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 28

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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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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

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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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

Resolution
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.628387Z digest=sha256:89eb3033a419ed80abaa80244ab09ce370ebf5d9c55ee5d380d7642dee922f87

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
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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.

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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
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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=2026-08-06T19:05:25.636529Z digest=sha256:2ff1938b38c90d84dd0cf8d23985c6b9d028d1d9e90a4bc4f6356ffa91e9fb83

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.641024Z digest=sha256:bbd08a330a136cb20c4d15340283a8ec86ece28fac3836fe5cfcd6a4e79d7ed9

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.644985Z digest=sha256:433f6b1b332771412e5fd43153b7468e3a09d77b252b904c542c3cc27cc3f0bd

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
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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=2026-08-06T19:05:25.649296Z digest=sha256:54456b2ae14e27df20a8c8279aabb44f1d0db2823aedaf187680f6a47ec845ed

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
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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=2026-08-06T19:05:25.653638Z digest=sha256:f771f8f7156b799afccf8ed7e8932c80f2d80c0ebb4b4ee9ef3c4b4acb171d29

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.658332Z digest=sha256:9b4513b1ba6a1afff7ec7e59d62c79e1f50812843c0bdae750a29e4e18b5a386

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 2026-08-09T06:31:02.800959+00:00.

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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
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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=2026-08-06T19:05:25.667373Z digest=sha256:20fa1be2c82570165d7b60da21f284175498d9149a60b0c808835c73917f253d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.671435Z digest=sha256:86f3429df190304e1b1a9a50c59238371a4dc8f1f430338fd756b6ff4cd9432c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.675454Z digest=sha256:38bf3e6d26cf6a8d4c401e627a084fc9a1b46cd93e1f67c8685a04aee9b3f2fd

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.687586Z digest=sha256:251190a8e7ca573a6f9727d5304e0aa4862a520fdbc4121a147bd1473973978a

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.701209Z digest=sha256:d8908fc6ffdd04a081ed6e8b8adfd991acc5906396a63453441b085633f7bddd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.705281Z digest=sha256:863ae387087ba59443772cd1dd7937c4a058d8b5f49126232b9dcedb6d618f3f

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
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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.709373Z digest=sha256:7adadbcea8d20dc087d4673aea1740e7afacda23f75a2637f83e90bb22b70606

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.718215Z digest=sha256:0a643709a22c1f45da84e622b14007691e57b26cbb7f53e96db0565d98897d8d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.723087Z digest=sha256:1968f1146a4f7fd769d379b6d307b40e23e61a7bfe73b9559813566836ff602a

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 2026-08-09T06:31:02.800959+00:00.

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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
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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.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.738883Z digest=sha256:ec5d707b6f54b456e1fc63e213ccde46196096958cc5256253d9eae7fc0d13e6

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.747483Z digest=sha256:dea0881b97e9bf375fa35eb085a0e4dab29898c156cb9882c4d491a0ba201965

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
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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.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.755549Z digest=sha256:c04d0b4b9cfa7b65782350192fd5279f1d2305e5df135abe97f6ae5b657970f2

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
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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=2026-08-06T19:05:25.759803Z digest=sha256:60ec5c6af9114c8d97a71f7bfb666101ef490856fba824be293d4a99213137a6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.764926Z digest=sha256:4353fc6ff9c67bf6399a3743eece9e02c27bfb3cb6b2a4ee8a7552d989a67976

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.768889Z digest=sha256:9ea6efb9b91d5f909c6e1d29d717fd9a2d2ebd019d6236dca03b570947a6533a

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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.777147Z digest=sha256:cc58f5e4b0055924fbf2f5fe123647037c8163a33f2b3ca30f36fcf9b1c62dda

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.781420Z digest=sha256:ab263e9ce98c3279c755ee0215f7ce43b69f6de071a62880de0ec14ba451540f

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:05:26.223392Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T19:05:25.785587Z digest=sha256:77859dbcd72d267d3a5315ea423c1cecf12affa5c4632ae75daa2cd7cf8fd660

Observation cda6a210-f0e3-42fe-a545-3d243c2142b8 · outbound

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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verified fuzzy
raw_fallback, observed 2026-08-06T19:05:26.208689Z

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source=arxiv_source observed=2026-08-06T19:05:25.789582Z digest=sha256:270da4401dfe0fbce4f8c044dd959ac6cfa92c13b16ebb8d91d124f7ac523fe3

Pith citing papers

Observation d66d9f22-40f1-4204-b283-fe27ae5bc7ef · inbound

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

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source=pdf_text observed=2026-05-18T11:56:19.932735Z digest=sha256:8951fd1bc1a90752c895353990d6c3208cc3b848355290a7b8ea56417e50e11c

Observation 4df6c6ea-a726-4f94-aa7e-c5b6872e30f9 · inbound

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

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

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=2026-06-30T02:29:51.948373Z digest=sha256:13ac51935d73a7741b227a8fa588202ce6cfafac5728ffdff737c2fade3283ab