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Paper Citation Record · LEDGER

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction

As of 18 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 4 inbound Pith citation observations for arXiv:2504.20858.

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

pith.paper-citation-record.v1
2504.20858 v2

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:24:02.151894Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:18:20.059920Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:05:31.368542Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact3
  • verified fuzzy48
  • unresolved33
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1734f02-e89f-40bb-924b-fea1fd9f088f · outbound

This paper cites write newline.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b37270c4-62bb-446f-a2e6-c5492d5998d4 · outbound

This paper cites A., Brenner, M., Wang, Q., and Hoyer, S.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction A., Brenner, M., Wang, Q., and Hoyer, S

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c7c8d556-8096-4d01-a5bf-cc1f6be5318a · outbound

This paper cites The metamathematics of ergodic theory.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction The metamathematics of ergodic theory

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08ba6028-68d0-4f16-ad1b-a88a1ccaa330 · outbound

This paper cites Lagrangian statistics in fully developed turbulence.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Lagrangian statistics in fully developed turbulence

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:01.815054Z digest=sha256:be1508b89fee43a82b6a7ee9d55c46ff8f181ba8adc6678d8b6a9ef5350283c4

Observation 62823292-6eae-453f-88d8-fd16884369d6 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 21a4b348-955e-46d1-b6be-5cb9952b2ebf · outbound

This paper cites and Herrmann, D.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Herrmann, D

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e82377fc-4f94-4838-9b90-6819d5c74b34 · outbound

This paper cites L., Brunton, B.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction L., Brunton, B

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c0b484d0-f201-40de-a553-307db658947f · outbound

This paper cites Modern Koopman Theory for Dynamical Systems.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Modern Koopman Theory for Dynamical Systems

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65797e4c-1a92-490a-a82c-d09ce33af2c1 · outbound

This paper cites Choose a transformer: Fourier or galerkin.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Choose a transformer: Fourier or galerkin

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10c33bad-3f25-4e36-b2b3-c88f88a851b9 · outbound

This paper cites Learning chaos in a linear way.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Learning chaos in a linear way

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e91ab0c3-6cee-4de3-9029-825d50aeae95 · outbound

This paper cites Kinetic energy represented in terms of moments of vorticity and applications.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Kinetic energy represented in terms of moments of vorticity and applications

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2b76e771-9fcd-4460-8941-122d948e1fdd · outbound

This paper cites P., Fomin, S.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction P., Fomin, S

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 406fc960-f2cd-408c-bc81-8f3737b0b7b8 · outbound

This paper cites Lie group valued koopman eigenfunctions.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Lie group valued koopman eigenfunctions

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1906690d-8de4-4837-bf1a-3b5514fe89cb · outbound

This paper cites Learning to correct spectral methods for simulating turbulent flows.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Learning to correct spectral methods for simulating turbulent flows

Reference 14

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f1557440-c9ee-448b-afef-e03063b7bbdb · outbound

This paper cites V., Taskiran, M., Taskiran, Z.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction V., Taskiran, M., Taskiran, Z

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2cc9a8cc-5fb0-48f6-9196-88c782c9173a · outbound

This paper cites and Ruelle, D.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Ruelle, D

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a6c36704-5bda-4e65-88ac-671c7c5a65dc · outbound

This paper cites and Sapsis, T.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Sapsis, T

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dbb48d84-7da3-4886-b392-72a40e0c3af7 · outbound

This paper cites and Tsinober, A.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Tsinober, A

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 48842305-d474-4f38-ad59-0ddc625c4b5a · outbound

This paper cites Chaos as an interpretable benchmark for forecasting and data-driven modelling.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Chaos as an interpretable benchmark for forecasting and data-driven modelling

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 99ccd6a3-6e17-4ee8-badc-e04fe781d8cd · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a90ba617-e26b-4c2d-825a-110aafccc6cf · outbound

This paper cites Efficient token mixing for transformers via adaptive fourier neural operators.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Efficient token mixing for transformers via adaptive fourier neural operators

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e26105b3-e57e-4b3e-9d39-d29229b15142 · outbound

This paper cites Multiwavelet-based operator learning for differential equations.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Multiwavelet-based operator learning for differential equations

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cae3ac79-b6c0-4c15-a1c5-f3496f4a6d22 · outbound

This paper cites and Mattingly, J.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Mattingly, J

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 176ddfe2-110e-4aa6-81e5-fe51f47c604d · outbound

This paper cites A survey on vision transformer.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction A survey on vision transformer

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 85d414ea-9028-45e4-8a65-a507d0de381c · outbound

This paper cites Gnot: A general neural operator transformer for operator learning.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Gnot: A general neural operator transformer for operator learning

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 12991d7f-b34a-487d-84a4-4f74b78a7fb8 · outbound

This paper cites Benchmark dataset kf256 for chaos meets attention: Transformers for large-scale dynamical prediction, may 2025.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Benchmark dataset kf256 for chaos meets attention: Transformers for large-scale dynamical prediction, may 2025

Reference 26

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 444dd329-343b-409d-a47a-a3b6ddfdcde8 · outbound

This paper cites Benchmark dataset turbulent channel flow for chaos meets attention: Transformers for large-scale dynamical prediction, May 2025.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Benchmark dataset turbulent channel flow for chaos meets attention: Transformers for large-scale dynamical prediction, May 2025

Reference 27

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7858ad1c-1c6c-4aaf-8762-56b822f9692f · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-16T05:24:03.166858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ee72c94d-19f4-4303-8c85-3dd11cdc5cf7 · outbound

This paper cites Sparse learning of dynamical systems in rkhs: An operator-theoretic approach.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Sparse learning of dynamical systems in rkhs: An operator-theoretic approach

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:03.152460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.923468Z digest=sha256:923bb029b12fc556d9070d7e87a750a0cefefb8f63a81c8e673629e41af19fd4

Observation 32e21bd5-c67f-46a3-9fcd-77995702de11 · outbound

This paper cites A lattice B oltzmann subgrid model for high R eynolds number flows.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction A lattice B oltzmann subgrid model for high R eynolds number flows

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.927530Z digest=sha256:c6a0574b4e18a203def375b15c67b4aaf7a4b1845e3f5da4ff8cc62452eabf24

Observation ae3eb700-e6cb-42c3-93de-00e0f27d2dc8 · outbound

This paper cites Koopman and perron--frobenius operators on reproducing kernel banach spaces.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Koopman and perron--frobenius operators on reproducing kernel banach spaces

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:03.124033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.931698Z digest=sha256:13e4576dfd74cefbec23012b3abfd35eea2cc0d2366209e6e520b12558a4653c

Observation 005aa670-cfbe-40d8-9741-87a59ecfc46c · outbound

This paper cites Johns hopkins turbulence databases, 2023.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Johns hopkins turbulence databases, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:03.107933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.935919Z digest=sha256:30baa070193649782f90518085deef77e580fca3e1499a17a8ad6d26ebcba6d8

Observation 4c8d9449-321e-427e-b877-258fbfd9242b · outbound

This paper cites Y., Orlova, E., and Willett, R.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Y., Orlova, E., and Willett, R

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.939947Z digest=sha256:a43b5bd84fae6f6f1042081a31bc300e76f5c8648307f6162e4df8eb03b9e7ec

Observation 50cb62cc-ae78-42c0-aa74-71df7ecfa5fc · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:03.079981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.943967Z digest=sha256:e715d8560475a80c40e234f471a6b0386ca782177e2adb8132616c75997fcefd

Observation 75804b38-4b61-41dc-8cda-43b45669c94a · outbound

This paper cites H., Guilhoto, L.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction H., Guilhoto, L

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:03.066549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.948205Z digest=sha256:406ad815237fcb29155d79b6418368fa4cbe91ff98c9606a81e7ba3e053bc2c8

Observation f11f80c3-078c-4725-bf21-5b72e4732f16 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-16T05:24:03.052598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.952356Z digest=sha256:7e498830d3e4bbc960e8c53d408716682cd9d732ac4fd66e757480114386716f

Observation 0b7fe763-d39f-4862-afd7-5d52ee443cdb · outbound

This paper cites Eigendecompositions of transfer operators in reproducing kernel hilbert spaces.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Eigendecompositions of transfer operators in reproducing kernel hilbert spaces

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:01.956386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:01.956386Z digest=sha256:a12d792c30e647342789eb764c2f2fb0c9d7410d77347134e50de0480376c278

Observation 513a2f2c-346d-46d0-898f-3cb092a76804 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:03.029962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.960454Z digest=sha256:5b45058ef57ef96f22580b5f2663cc10f53897d278543799e95bfc2e49efbe24

Observation 0f71dc53-be5b-4b08-8ed2-a48bbf8f09b8 · outbound

This paper cites M., Filippov, A., and Burnaev, E.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction M., Filippov, A., and Burnaev, E

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:01.964547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:01.964547Z digest=sha256:c95c7201b943401b98f1a44f696194c1436b9d1d74c0abc0da402753a69fde6a

Observation b7d60462-2a9d-4860-81a4-cb0a67ea1c6f · outbound

This paper cites K., Yamaghani, M.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction K., Yamaghani, M

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:03.005545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.968555Z digest=sha256:914cf225668044c321b1acc3a7da2780e660274d07d87f57e45076bd5d5612e2

Observation 149e1d27-e7b3-4ab7-bac6-663ff517b178 · outbound

This paper cites Straight velocity boundaries in the lattice boltzmann method.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Straight velocity boundaries in the lattice boltzmann method

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.991212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.972680Z digest=sha256:01a9b08f673be2678d8f88441a177c12792b22ac5017df071608bd6c1b8d1680

Observation 2418a755-f53e-42a1-ac6c-4a0b8cf590d2 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Fourier Neural Operator for Parametric Partial Differential Equations

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:01.976755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:01.976755Z digest=sha256:b90820c216c95a39b19744e352a81abdeac66cf6310279ae37c262374f9009d1

Observation 292a4621-bee2-4360-8b20-8048578da639 · outbound

This paper cites Learning chaotic dynamics in dissipative systems.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Learning chaotic dynamics in dissipative systems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.976792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.981305Z digest=sha256:8e2ac35bd50d61a39f9650cdb355441d0d3174f32d8a28b7535f6b395326c41f

Observation fd6e7721-3a96-4bd3-b9f9-b92faac21c13 · outbound

This paper cites Transformer for Partial Differential Equations' Operator Learning.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Transformer for Partial Differential Equations' Operator Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:01.985232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:01.985232Z digest=sha256:663b29754faa9eea67101dbc7e6481652f378459c55886a866edb5f334ba7b10

Observation 17f00eeb-9b9f-40cc-a3f4-f9cb85cf240b · outbound

This paper cites Scalable transformer for pde surrogate modeling.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Scalable transformer for pde surrogate modeling

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.961872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.989903Z digest=sha256:ce133f53d6a8118a1633f5d05e0d6304bf978c9cf8a4b0e0fff33f6836e77139

Observation d8f99107-6ab8-4164-9bc2-8ddf40e129ea · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.947696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:01.993795Z digest=sha256:98379ed693d1668c8f14f00ba6a5cc5df2f82aa775afb692e623e6cb29a8e4fe

Observation 065edcec-843c-487e-92fa-8597687781c0 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:01.998667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:01.998667Z digest=sha256:5edf31c195a3f17ab6f864800160bcdb172e78760f8195e53795f7e5e90f4e49

Observation dae53651-5b01-4741-8b31-91bd237e3ca2 · outbound

This paper cites and Gibbons, T.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Gibbons, T

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.924500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.002868Z digest=sha256:1108b149c9c883ca81488391fc0958bf5850c82e9457338294fa36c54b2f64e7

Observation d883c1bc-6a22-486e-989a-d188ccb8ff88 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.910755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.006978Z digest=sha256:dca986e4152daa95bf295ff5f9178a864f198c7c91d03ecd7d270b332697b00a

Observation 970d63b9-07e4-45a1-9187-68b383198845 · outbound

This paper cites A., Musco, C., Musco, C., and Woodruff, D.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction A., Musco, C., Musco, C., and Woodruff, D

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.896655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.011086Z digest=sha256:a8bb4fcaa5ec28b0c78ef67351ea7df95fc19f79a4aeb3f6283191c4f2661d28

Observation 11395066-f4e0-4048-97e1-9aae33e379b0 · outbound

This paper cites Koopman operator, geometry, and learning of dynamical systems.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Koopman operator, geometry, and learning of dynamical systems

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.881995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.015136Z digest=sha256:3c5c1050821a8145f945a4394eb04e81e9c61582118cee9edf926c1d9d4d4a62

Observation 3d4fd4dd-9fc0-4e94-b9f7-7f625baa63c6 · outbound

This paper cites On the difficulty of learning chaotic dynamics with rnns.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction On the difficulty of learning chaotic dynamics with rnns

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.866174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.018961Z digest=sha256:b2401e4777d5d4ae6dd8d49870fbe3e35e37aeb293a8bdcdbc2aa7b48a6c005a

Observation a8738d89-84b1-44ca-bcc3-668de43b2abb · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.851748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.023103Z digest=sha256:b9423dcb230f83116c6b17c0bde35f9861e8afa56e96d793252ceb901f4c8463

Observation 345dc20c-83f7-455f-96b6-ac555c967dd7 · outbound

This paper cites Two-equation turbulent channel flow, 2023.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Two-equation turbulent channel flow, 2023

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.836945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.027260Z digest=sha256:2f66b27c8b652912b5d821e6a4fa5bc3c6640bd28c7eb622fec7a76a82e5aa84

Observation 21ae2752-616a-4d24-8d5c-9e3317bd5b87 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.822370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.031130Z digest=sha256:92b1c5ed5dd8eb70d2bfe9d105666b16d27bb0143452e4bd1239a8ce71d89b36

Observation 4f2e7931-c132-495e-9381-9443f521a83d · outbound

This paper cites Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.807405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.035280Z digest=sha256:f975596f5c9b892edb36b7943d3c2303b5d9f343e34bec5d1437aba4e2454b10

Observation 8cff04b7-78ce-4f79-bb38-11e7a3fc2e1f · outbound

This paper cites and Recht, B.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Recht, B

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:02.039173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:02.039173Z digest=sha256:4085e6493190a4f26642c43b356134e58e82a709ebfb53bd2c2af213ca00b421

Observation 406e16d2-21cb-4b3a-94f4-7d021c952941 · outbound

This paper cites U-NO: U-shaped Neural Operators.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction U-NO: U-shaped Neural Operators

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:02.043092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:02.043092Z digest=sha256:0498a115fba610b865657cdbdb06d29a606f0d54b7d82c4a2a90503a9affb171

Observation 57532c21-054d-4b13-8404-02156e998d8a · outbound

This paper cites and Dercole, F.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Dercole, F

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.783036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.047409Z digest=sha256:46918a36f68bcf1307891e44b7575fc155209e5d3eeac0d3de654dc4ffbf5db5

Observation 9697c8ae-4baa-4b86-b636-62fc4948bb21 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.768136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.051627Z digest=sha256:973902dc76c498cbaed4fd47998ab3cac336acfd5f2ecb2ccc8703d6f1c47c25

Observation 9a394528-43d0-4a89-9a78-800b5eea2e56 · outbound

This paper cites DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:02.055682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:02.055682Z digest=sha256:116ddbc5e1de358cc97f990ee7df12b658de6a539c1d53fa8eb229ecb4d211a5

Observation 462a35b7-1e57-4b94-9e34-05dac869dcac · outbound

This paper cites Toward a theory of chaos.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Toward a theory of chaos

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.753261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.060225Z digest=sha256:10b4e534e7cb13c62f124559b7b8646876f6c339f30f6bcb8e0911349fdf01c0

Observation 0a11d4f8-4213-4f35-a3c5-1908d548306c · outbound

This paper cites The space of ergodic measures for lorenz attractors.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction The space of ergodic measures for lorenz attractors

Reference 63

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:24:02.322983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.064162Z digest=sha256:c663fb6304cde50d6828adcc349edd8c4c04d40237827a90a5041fa74c3c8e47

Observation 2ebfe047-6779-4e31-94c2-e2dc6bcc6e67 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.736684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.068597Z digest=sha256:37beb04b5251540a0db36b425365ca903dd0c2d277d09e495e33d8fd9e824d3d

Observation b2f8bd75-251d-40c4-bec2-b55ec86e1891 · outbound

This paper cites General circulation experiments with the primitive equations: I.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction General circulation experiments with the primitive equations: I

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.721678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.072625Z digest=sha256:69ca2ef831aaa10303d2bdf5e5cc0367e696a2ff460461f5071b4e9ccc5536a3

Observation 74fc8147-c341-4a20-92ef-fcf05b827c7c · outbound

This paper cites and Zhou, D.-X.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Zhou, D.-X

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.707710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.076518Z digest=sha256:1a1ab3977006e2e3e6b24d6be80f77cb742a7dba4b7cce83b51a6cdfad6bcedf

Observation 69c759e0-52ae-42ec-9b7d-31cfd7e01bfc · outbound

This paper cites Ein beitrag zur hydrodynamischen erklarung der turbulenten flussigkeisbewegung.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Ein beitrag zur hydrodynamischen erklarung der turbulenten flussigkeisbewegung

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.693852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.080522Z digest=sha256:1607d1d181ce62a3466952541a05579c21bcf1b51c50f7ad61afea3312f767b7

Observation 969558e4-6176-42a2-84cc-5d0a46284f6c · outbound

This paper cites The L attice B oltzmann E quation for F luid D ynamics and B eyond.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction The L attice B oltzmann E quation for F luid D ynamics and B eyond

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.680564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.084487Z digest=sha256:69f4cc9c54ad2fac43229aede1c3173dd5260c227533ad9d86bd78928be710f7

Observation 9ed82791-9d41-411b-9e45-5eb29ec5a043 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Fourier features let networks learn high frequency functions in low dimensional domains

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:02.088538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:02.088538Z digest=sha256:e55525baab605c044c988288d929de3f9d4db2e916ae2283d9eda7a586003633

Observation 234e29b1-d765-409d-b0b0-886ab7e90da8 · outbound

This paper cites Infinite-dimensional dynamical systems in mechanics and physics, volume 68.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Infinite-dimensional dynamical systems in mechanics and physics, volume 68

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.658498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.092565Z digest=sha256:6c9c0d73697b9a1faa295ec705024ef47d50ac00f1fe8918195147913271f710

Observation 6dddb8e9-d653-47ed-96cd-76698a324389 · outbound

This paper cites and Palatella, L.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Palatella, L

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.644372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.096612Z digest=sha256:f3b8a0ef124a7fb757da64fe083daaf05fc1416d249ccfd7e0966ad34f0519c3

Observation c830c9e5-5ea9-4cfe-96d7-c16d2927e0e1 · outbound

This paper cites Attention is all you need.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Attention is all you need

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:02.100819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:02.100819Z digest=sha256:ab3cb6e96f2c682a07dd1cd410df019f0197dca242e4e60e2f5cb0a860fb57fb

Observation b6131c7a-c467-4e51-b6c9-b30581e94fba · outbound

This paper cites E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.620487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.107097Z digest=sha256:fdd245378d34d7faeefccbe10083ff15c151000b3559f9ccb4477ad0aa9b4786

Observation de5b1925-4f7c-45ab-a5f9-a19eb426a4b4 · outbound

This paper cites o gler, D. The curse of dimension in multi-marginal optimal transport. PhD thesis, Universit \.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction o gler, D. The curse of dimension in multi-marginal optimal transport. PhD thesis, Universit \

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.606276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d570dbde-2adb-4b2d-b952-7b40033f0f6d · outbound

This paper cites Y., Baptista, R., Boral, A., Chen, Y.-F., Anderson, J., Sha, F., and Zepeda-Nunez, L.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Y., Baptista, R., Boral, A., Chen, Y.-F., Anderson, J., Sha, F., and Zepeda-Nunez, L

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.592165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.115070Z digest=sha256:0a5335022c5f62a1928e0d7a4eb4b9d3f0b0a741d6d508accec2a0b8ee4e9479

Observation 795d970a-927a-4504-87d0-da0e8b84ed4e · outbound

This paper cites and Yang, Z.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction and Yang, Z

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.578621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.119059Z digest=sha256:92d0cda78d0d5ea94c6c5373ed132e038a81f57d330e01d73c0a145e7d900cff

Observation e6301ea7-b28b-47fb-a6e0-fb94c4d28389 · outbound

This paper cites Synthetic turbulence generator for lattice B oltzmann method at the interface between RANS and LES.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Synthetic turbulence generator for lattice B oltzmann method at the interface between RANS and LES

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.565076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.123073Z digest=sha256:ac38e6493b786b8e02b6501232a8eef32f6e88b4f6b041ccf0d2369db2e7ca82

Observation 6e1f2ce6-9793-499b-954e-24034ee545e3 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.550906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.127068Z digest=sha256:40aac5ee23e984dbcecda0152fb146daf743f3125e005d1a9b1e55f18b4a7513

Observation de0faeb2-7340-4203-b826-fe5ff6d4ce4d · outbound

This paper cites Emerging opportunities and challenges for the future of reservoir computing.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Emerging opportunities and challenges for the future of reservoir computing

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.535214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 94ac271a-b7a1-41c2-a9e4-567013ab9a3c · outbound

This paper cites Random attractors for the stochastic kuramoto-sivashinsky equation.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Random attractors for the stochastic kuramoto-sivashinsky equation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.520837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.135190Z digest=sha256:4fd3940a24aac74a42665bc4b4cd83ade0fc1e3a710e479824059ce9e571a5f9

Observation 0295fa36-7011-4000-9ea3-e75f63c58eb7 · outbound

This paper cites an unresolved cited work.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:24:02.507153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.139147Z digest=sha256:aafe15a642e7192275a412f3abe4ceb43d678fa197557c5adc1528e23d82b85b

Observation fd16f36e-1874-432d-8b96-27ed776deee6 · outbound

This paper cites What are srb measures, and which dynamical systems have them? Journal of statistical physics, 108: 0 733--754, 2002.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction What are srb measures, and which dynamical systems have them? Journal of statistical physics, 108: 0 733--754, 2002

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.493351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.143189Z digest=sha256:753a683ca3722aa9bc42f4f211263a1484fcd1301f013027db75879546c26fd5

Observation 8d2d0fe1-e3d0-4c34-a62c-a9c28a6cf931 · outbound

This paper cites Attractors. Then and now.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Attractors. Then and now

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T05:24:02.147405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:24:02.147405Z digest=sha256:168d67ed89298aaf0191f4035d822537a12c0d63bfafad5d5a6a09f931468fa7

Observation c8d19f26-106e-47b0-8ed4-5f04370db11c · outbound

This paper cites Projection-based techniques for high-dimensional optimal transport problems.

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Projection-based techniques for high-dimensional optimal transport problems

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:24:02.478940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T05:24:02.151894Z digest=sha256:b185a6979df6cc783197fe1a169c01d114e8407dd174e694cfc5ab2e506bd80b

Pith citing papers

Observation bcdc3a9d-912d-4f66-9868-ce1dc59d584e · inbound

A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series cites this paper.

A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:05:31.371085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e23ecb1b-4cdd-445b-a17b-a43318f5a852 · inbound

A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series cites this paper.

A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T23:18:20.059920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:18:20.059920Z digest=sha256:7d37c0bd2bb6bcdb5885cfd14dfeeb23cb67846f78d9cbebf637d3fc10b0380b

Observation 334a0c9d-449a-4404-878e-ea9a3420220e · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:48:11.492093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d483d155-1948-405b-a383-8aa53637bf23 · inbound

Deep Delta Learning cites this paper.

Deep Delta Learning Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T13:08:23.728177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:08:23.728177Z digest=sha256:17cac9a26caa898d48d573f28336f7773d7c8b4df5a2ce2d8a5072279ca7a767