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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 16 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 2026-08-16T06:30:59.297886+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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Source-reported events for the cited work

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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

Unavailable: canonical work link unavailable.

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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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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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Source-reported events for the cited work

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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

Resolution
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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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Source-reported events for the cited work

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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

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 21

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

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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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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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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

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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.628387Z digest=sha256:940931d65c2e83046abd207e3acc7fbbd8075102e4aa310baee7db214cddcf88

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.632562Z digest=sha256:a4b1d74dd4567f15248b0cd374f89e8d06510cfc58491aaaec8f09e1d42298e2

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.636529Z digest=sha256:0f94ef29cca2e03c1cd3abfc8e9f43a1688cd4a5234d61f5d4243f751dc9e3aa

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.641024Z digest=sha256:6f043918768daee67daae948f7520ec1beef91befce56e3a9c5777723f625f2d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.644985Z digest=sha256:0d0738f3b995cfc810c7eb1290b2f620e8efeeeacaa67707a7a863ccf58683b6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.649296Z digest=sha256:a7ecaa5f9ad3b5dc27253bf233008b9e3c7eb67b176a88c79ff7738324a87539

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.653638Z digest=sha256:667d87dbdeb141f118a7e2462d226bc4e10d5b0a2985355fe33a23515c9993fa

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.658332Z digest=sha256:dda48ad1816f1e1f53ce8803ab74150d9b11ab60755f4e39d2d45fb22c833d09

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.662550Z digest=sha256:18e5b1928bfe2888b2b2ed72f90875e37837a83633cf21192a2202c027acdcaf

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.667373Z digest=sha256:57340ee29f57324fec8f1dd8a89b5903baf7d818b04be3aa775cb4ef64ff1a74

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.671435Z digest=sha256:8f5f5280151e8fc87e1eb0504f1058b21f8ca0efb7d9f24949b148f9378b3f85

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.675454Z digest=sha256:80335c448f4720e8af9e0ea2a1bd0d05c1160a21388d1b9954ce429d9b41086c

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=sha256:402d0b5b58a90fb6a105e2016aeebca23b05b2dd88205fe479da522d3d438856

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.683750Z digest=sha256:15983e528e6f306c9614a3b35183894ce078892f44719aef60e71e4852e8e79f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.687586Z digest=sha256:8bb46cba2f2d48658b724babd23e8bea7edbbd93d7e3a8bfeba83c886ab53e4f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.691928Z digest=sha256:90fd15e9268f74d15a9b75a02024954a4d58801e79978c28e352871435418e4f

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:a0a8b8354b6d0e755b52ae6017ef335118eddf11440261cc2d145930ab4e14b5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.701209Z digest=sha256:75482c3340c8cdc1409b23bb8bd16cecf02c7d3a85489726381c80e6aee43667

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.705281Z digest=sha256:ef9ad36cc8cd0741374cc7fa40efd72f779f5e353b979a97fae5aa22eb96c55d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.709373Z digest=sha256:2b2ef41829989d55b913f8516d201976b99eca04a39958e7a33760b08d0046b8

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=sha256:7d58ff7263f51adeeb487a398aea1faec8bc31ab88332742febb696261417edf

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.718215Z digest=sha256:8a243fd5f765b80729bc15805cc7b279dd7c9c2fd8f923ba63582a9e0145c182

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.723087Z digest=sha256:d79759d686af512fb34dd61fee2eb8cd100ee60180ade97592369ab8db5e5bed

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 2026-08-16T06:30:59.297886+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
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.731637Z digest=sha256:54e5bbfb3f7aa7595eb94ca40117a718ac0bed66410bf8f8e39dc365a1fc8fde

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.738883Z digest=sha256:b199d46b2ac60c20f2d268a4481c7c31eea389164e71fe4b83f9e25c3be2c6ca

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.743530Z digest=sha256:4dae633ee153b67f7a8502dd94eb4321ab42612e963af732504181279c3a8454

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.747483Z digest=sha256:f750942548689ac7dbc4e66fb1ca41949253953a0a744b8ad796b37a6e2bb16c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.751684Z digest=sha256:079aba9efa4f52b219580a38f262066abd7599078e56fb45d399d7a8c4733ef7

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.755549Z digest=sha256:ba6d5e91a946c681cd55b4e25ecf934753cdd5f370448373aaab13bf8b14e87b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.759803Z digest=sha256:199ea06ff1ae618e7f455b24c728b0ccf07ede70d6f71ee9475350f76c77afd0

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.764926Z digest=sha256:ad90cd44d2d06a8b5da9ecc09e1c1df08dd6b6b73cd6cfb31752f575a2e7f17f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.768889Z digest=sha256:0ced8edde956bc1717e18450348e2b8af610f492e098d6f1d9b60558b9f33779

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.773199Z digest=sha256:376f71447b41ad00de9d9c2f292df41882214cfcf2a9bdd9623a5ecadf0fd684

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.777147Z digest=sha256:f833ce8f40b6d1bce05450240e1e99cdda32f47e162f05cc45a3c5284e4376bc

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T19:05:25.781420Z digest=sha256:a93a7826e203b84909e1d9a0546bbbd9bc161a484e8a1b6790e47f5ec9c409c6

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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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

Resolution
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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:fa331c7ced7dd10aca8597e88dcea6411cd45edc82a7d5e6ab80e73162308ebd

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

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

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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
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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 2026-08-16T06:30:59.297886+00:00.

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