Pith. sign in

Paper Citation Record · LEDGER

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2605.30184.

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

pith.paper-citation-record.v1
2605.30184 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:21:31.711174Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:43:31.706959Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:44:12.463557Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b44e0de2-b49e-4b63-a743-dc67496b4ddf · outbound

This paper cites Armegioiu.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Armegioiu

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:968d913034af3b9b2db7c7b7e8dfbd180c99c7248f6e9a493fa5665d40bfb318

Observation 41f251e6-7feb-42c8-9143-7b5451047d01 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:94048c157e595e6dcef34b0f2daea27e08029871fad1a949fe5866d8ab27dc91

Observation 09791ec9-5c96-4cd0-b298-12c4aa74acce · outbound

This paper cites Bodnar, W.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Bodnar, W

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:91fb9f05b629fef636270dee3b6a6ddc2025b69648db5c3705ce543142eda199

Observation 6d789cad-9d08-4626-88c6-19786e1314ff · outbound

This paper cites Bonavita.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Bonavita

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:2d0628569a15768b1c7782d5701b381cd91330c981e45ff3f646b247f55441ca

Observation 56b7fc10-97e1-4af3-985a-b26e65a5f24c · outbound

This paper cites Bonev, T.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Bonev, T

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:fb2a4b77e1e095c4d358729bda57991a4cb03f0fd7bd10ba973640fb78bc1ce3

Observation a01e72b5-321d-40a5-baaa-4b9fad87833d · outbound

This paper cites & Mézard, M.Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in TrainingarXiv:2505.17638 [cs].

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts & Mézard, M.Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in TrainingarXiv:2505.17638 [cs]

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:14.919956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:160c1037f8d1430533b4cecb6f88089f594c09fbc26fe07ccdb63bddcf7c83ed

Observation 5a3da764-31fc-44fe-b9b4-3a04d69c953c · outbound

This paper cites Brandstetter, D.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Brandstetter, D

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:5545f7030b835d85187ad03d3e9ddda5bc87219c3e3556603a566fdec84d0a0c

Observation 4434e623-2b3e-4575-8554-a3754263c1ba · outbound

This paper cites Chattopadhyay, Y.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Chattopadhyay, Y

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:f640f769c710a7b6d8c0d7823a3ff6d309fcb62ed9d10ad632e6816ce546d5bf

Observation 9589eca6-c254-4ea1-8c7c-160b10a54519 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:fc316bfacdf8aa205905f8e8d0a638043e9a796fd454f47e3d26531e3a368a32

Observation 64e0bc23-e4c6-4199-88b9-6f26515588a8 · outbound

This paper cites Couairon, C.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Couairon, C

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:4b49f7efa536279bba473048c0481b2f33636ab7d237fb1c37ffbac67e5f3a91

Observation 610e1597-4c67-4fd9-aad1-1ec6a7d244b2 · outbound

This paper cites Cresswell-Clay, B.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Cresswell-Clay, B

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:4e7c4a31393d1c2fc0714b822e67cb075884ecbae494aff97c3de439bb86e2f4

Observation 976ba717-0e96-4df1-bbe3-39edee624a76 · outbound

This paper cites Gallusser, S.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Gallusser, S

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:f8cac7a53ad65d4e6efe122937c2396dc20b97c85a2693f4218e81b6753cb6df

Observation 94701c49-947f-4943-ad9d-09fea05ad464 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:df32aed32674d08bcd8db557de66116572b481ee5b5e50419ccfecd2b8899b19

Observation 95edea0a-58d7-4383-8390-77d0fdbfcc92 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:4cff0d1cb044da81f8b690581f0d33de9a6fcd5a1b54aaa7d06bf88a302aef5b

Observation da9ccb6d-ec2f-4771-bc4d-6cf053f8e602 · outbound

This paper cites Hersbach, B.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Hersbach, B

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:42afed9ee54ea0f5ded876fc5fd454349425ad51462baba8292bb31a3c58a02d

Observation 901b365a-570c-47d3-9a30-06b40a3514f8 · outbound

This paper cites Karlbauer, N.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Karlbauer, N

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:bc16a7f323688e58d2d84efa3621575ca83472af754bd213cccbf49f084b4287

Observation 3fde9f05-d8fb-4c57-897c-f6c5f6f0f669 · outbound

This paper cites Kochkov, J.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Kochkov, J

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:7a0c08836cfa55dd52ce2589611b3f88141cc11e1f9996290f17d9fa05bdc0fd

Observation 1c46b7de-9f98-4a13-aa32-dc19432e4c76 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:c370e668a04de899b2db96c7934f12db17a3775bf0506a7f109a60b2a93fd422

Observation b1c0bd0c-d3dc-42d7-9825-7a0e34f0a488 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:8a790e1116241b2139bb9e025b8d89ff0b9015ab8aef8e664b2f9ecbe8ea1c65

Observation d9b9e2a8-09c7-4387-8d10-f7e4e9b9d967 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:1e4dac929046fb58faf37a63058fbf95a9352618d4415bfc08485eeae3a24bf4

Observation e2225f8f-4229-4b99-985f-b2794e446615 · outbound

This paper cites Lippe, B.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Lippe, B

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:63e1f2370628443070f86096ffb9f61dd7d254965a0d162786bb2b9d167195ce

Observation 9b4c88b8-f6d6-4853-9546-acd83fc0f393 · outbound

This paper cites Loegel, J.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Loegel, J

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:39460679ffa54002dbfc3923c373a65bed93cf5f177240c2e7f1450f017d345c

Observation f7fd81dd-6251-4d03-8a4e-5f2c0685dd9a · outbound

This paper cites McCabe, P.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts McCabe, P

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:c6507993da9b3031a2768d12f55c7dd853d34706375ccba4acd72f9b21af3cda

Observation 44e6adb1-a18c-48f0-8134-4061c09dec62 · outbound

This paper cites Nie and Y.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Nie and Y

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:e4a937897944ff42529175b8c602f56f4ec7fffa35d3d8639766e97dc8d01d32

Observation 1935b46f-523e-4aef-996d-d2ad45b6e27e · outbound

This paper cites Pathak, S.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Pathak, S

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:33a52ba52b0a0768725a086eb3ace76fc8d48752fda65305049d057e43a245d6

Observation 38d52db7-838e-4940-834b-95ffcdb7a238 · outbound

This paper cites Pedersen, L.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Pedersen, L

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:36222755df7d355fc50fb560d158a6c36f54e9797c28a6494399509426d9b8f7

Observation f5fdb06b-0d19-4b33-8344-3a5534e2a2e2 · outbound

This paper cites Price, A.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Price, A

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:ccdd99df20ed29e837d50e087470ef39e93d52887a26e9b99859c34deb2d7e8e

Observation 1e5cada3-3acc-430f-baf1-d546ceb6e854 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:60ace16aeb6acac03026c6e428728cc6ff9e8927c78d9493d1ca76843c915d13

Observation 5e5fd0c2-198b-49bc-9438-36f86faa00b3 · outbound

This paper cites Watt-Meyer, B.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Watt-Meyer, B

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:af229029038a8e19769266c8524d3c3c2cb22425f1d5b622e2e3240589c36dd6

Observation 3af0f0c6-a941-406f-b2ad-2459735e7369 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:5c08f9228febf2e1d037b99dc0e97ff2abb8255f1a5234842efacd7df731f3db

Observation 7db459a5-4afd-41f8-b542-b7df025eb1c1 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:bd2f80b1967105172417fbd17554bbfc317dbed2b53de0903dbd0e87dacfdea3

Observation 93dd5385-dc7e-49d0-80c8-de436d84670c · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:e9dc36375217612d72e4859cc0f51cd57e34ffed2adb97d067e2f87136dcd788

Observation 0a80c852-a563-4f71-babb-765958e2e445 · outbound

This paper cites an unresolved cited work.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:07c4c09502aa9332f88f7cc8de2a18f0ef7ae868c979916920c6552ca93a3ca0

Observation 17194950-729d-4bc1-911e-802c39a68ab4 · outbound

This paper cites Zhou and S.

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts Zhou and S

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-29T08:21:31.711174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T08:21:31.711174Z digest=sha256:a26f5d62f092d427d26913a7d08d09f92a85f081b2e99edf7a66729f72de50c9

Pith citing papers

Observation fd7b6908-bed2-4e3d-a8e3-e2add1794895 · inbound

Timestep-Conditioned Transformers for Global Weather Forecasting cites this paper.

Timestep-Conditioned Transformers for Global Weather Forecasting Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:44:12.485603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:44:12.014479Z digest=sha256:6903d2b5e796401d1a4523774ec51c08d34b9b75276c68b6045f698ebcd5ad40

Observation 9dc9a52b-5eee-46ec-a7ee-9a859927d16e · inbound

DLESyM-Ocean: A Deep Learning Probabilistic Global Model for Simulating Present-Day Upper Ocean and Sea Ice cites this paper.

DLESyM-Ocean: A Deep Learning Probabilistic Global Model for Simulating Present-Day Upper Ocean and Sea Ice Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T00:43:31.706959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:43:31.706959Z digest=sha256:a0ae0397062fb09ea37befdf1168dbcbbcf00d9f50236faceafa29feee9c02eb