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Paper Citation Record · LEDGER

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching

As of 20 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2509.15942.

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

pith.paper-citation-record.v1
2509.15942 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:18.636763Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation ff4ff55c-0dc7-4bfd-a175-eaaa98e85fad · outbound

This paper cites Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Reference 1

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Observation 6aa14cf5-1229-4af1-a904-c99d3110b77d · outbound

This paper cites , Smith, D M.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Smith, D M

Reference 2

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Observation c8460b42-c566-409e-a1de-367106682727 · outbound

This paper cites , Servonnat, J.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Servonnat, J

Reference 3

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Observation ece25ede-24b5-4b74-ad69-9db37d582656 · outbound

This paper cites Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere

Reference 4

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Observation d0ce0578-ab19-4f24-93a0-748f032a8c35 · outbound

This paper cites AdaSpeech: Adaptive Text to Speech for Custom Voice.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching AdaSpeech: Adaptive Text to Speech for Custom Voice

Reference 5

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Observation cc6bcbdd-0e1d-40bb-bfe3-2f25c0d9ee7f · outbound

This paper cites ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting

Reference 6

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Observation 86fb8225-711f-4aea-a284-a5b73e92b3d9 · outbound

This paper cites , Kim, W M.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Kim, W M

Reference 7

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Observation a2f3644b-3de1-48ed-86a7-a82ad670fcdd · outbound

This paper cites Samudra: An AI Global Ocean Emulator for Climate.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Samudra: An AI Global Ocean Emulator for Climate

Reference 8

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Observation 5692d08d-4fb7-4112-8a25-1cab608b3b18 · outbound

This paper cites , Smith, D.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Smith, D

Reference 9

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Observation ac5374f6-44c1-450d-b7e8-8fea03368f6e · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 10

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Observation bd51f2eb-fbeb-477a-abf5-8df77c5ac9ec · outbound

This paper cites , Mignot, J.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Mignot, J

Reference 11

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Observation 542c65c5-78a0-4ed1-9e43-d952730bbeec · outbound

This paper cites , Beyerle, U.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Beyerle, U

Reference 12

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Observation 293bf029-2892-4bb3-9a25-1abd6c3e4dde · outbound

This paper cites , Derksen, C.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Derksen, C

Reference 13

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Observation f2715fd2-e8de-40d6-9950-42d1f5203993 · outbound

This paper cites Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction

Reference 14

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Observation 895be051-4597-4313-a7c8-e29b07298869 · outbound

This paper cites APACrefauthors \ 2001 03.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching APACrefauthors \ 2001 03

Reference 15

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Observation 60dc8927-1ac4-43b9-8b11-2e1ae66e275d · outbound

This paper cites , Aich, M.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Aich, M

Reference 16

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Observation f035f0bd-759c-43fc-b591-453e8b74d321 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Denoising Diffusion Probabilistic Models

Reference 17

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Observation 7597727c-fe02-409c-a02e-67e6b4d7b384 · outbound

This paper cites Axial Attention in Multidimensional Transformers.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Axial Attention in Multidimensional Transformers

Reference 18

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Observation 40082128-eefa-4e2e-92ef-eab305b9f398 · outbound

This paper cites , Scaife, A A.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Scaife, A A

Reference 19

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Observation fc47b4e4-b45c-4e3c-b899-cb6fbbb564d1 · outbound

This paper cites Flow Matching for Generative Modeling.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Flow Matching for Generative Modeling

Reference 20

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Observation de31a52d-8f44-4b88-bbc6-e460c49e990c · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 21

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Observation c43943a1-eb79-4d72-9c64-0e21e6e7bc61 · outbound

This paper cites , Balkanski, Y.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Balkanski, Y

Reference 22

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Observation c133722b-08bb-4cac-ba75-bd9b9b3bafd3 · outbound

This paper cites , Milinski, S.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Milinski, S

Reference 23

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Observation f57aeafc-230f-4d8c-adc5-2cc9e12e6519 · outbound

This paper cites \ Nicholls, Z R J.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching \ Nicholls, Z R J

Reference 24

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Observation 95078a1d-ed19-4c43-96c4-0b15f6725faf · outbound

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ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Garc \'i a-Serrano , J

Reference 25

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Observation 31c3a1f5-3be2-46a9-b6df-c0e9961c9f3e · outbound

This paper cites WeatherBench 2: A benchmark for the next generation of data-driven global weather models.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Reference 26

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Observation 0e43179b-f819-46d4-b0cf-371c21abd9c2 · outbound

This paper cites Consistency Models for Scalable and Fast Simulation-Based Inference.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Consistency Models for Scalable and Fast Simulation-Based Inference

Reference 27

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ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Mignot, J

Reference 28

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Observation 8fd5f36a-f7ab-4726-a879-9353999bbcd5 · outbound

This paper cites Improving AI weather prediction models using global mass and energy conservation schemes.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Improving AI weather prediction models using global mass and energy conservation schemes

Reference 29

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ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Eade, R

Reference 30

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correction dated 2020-04-03. Source: crossref record 10.1038/s41612-020-0118-0->10.1038/s41612-019-0071-y:correction, observed 2026-07-11T03:07:00.215461+00:00. This notice travels one citation hop only.

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ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching , Shazeer, N

Reference 31

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ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching APACrefauthors \ 2019 10

Reference 32

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Observation 4fb8cdad-8afc-4e8f-b0dc-e20ea22c44f8 · outbound

This paper cites ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses

Reference 33

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Observation 51bed891-a226-44c0-b2f7-6645fad81386 · outbound

This paper cites Projected Neural Differential Equations for Learning Constrained Dynamics.

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching Projected Neural Differential Equations for Learning Constrained Dynamics

Reference 34

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