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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=sha256:369e1c41a6a4ffdfe0c28950f77bc252eab6375d69c55a0a2f9d2f73eaeb56b2

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

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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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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

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 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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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 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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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

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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 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

Resolution
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:a51478658d5a32727703ebbee9699ee8d80398f740754ad067fe49cabde08e99

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=sha256:78ddd567baefa12897327aee0a0a69a112a25b217bb31ec4fc5b0fa67f8ef31d

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=sha256:058a48cd4239f6732396a6170f2a81336212357a4c8b8739c96e082f9965c49e

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

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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=sha256:41758e73a482f174c5642e708c44c9fccf82205e9b52d61c937f1b9838135a51

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.

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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=sha256:051a866868d8d55b82b2473342a0045906450d0f9bc75df7435d3e37384b3e4d

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=sha256:9d002338c2a08f857f18066bc77d72485f143d935efc1c6be39cc602d58a98c0

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:bfc36c337e5b8c1e04136c40462249ccde63cbb5819ae4eea6e52032cf64f6e8

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=sha256:91cca7f2a1b775d1501991dbd6b614bd278f36f6a59a8cd19ce839e1f91d5a4b

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=sha256:25d12a6b0985c363e523a65fb7e9f727bde0cc8d678a19640ceab87257652bb1

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=sha256:8b7e8515be4113c9f2e6e6f6cc8778d2b79b5de104f5350a4add8584858e86ba

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:b4742dd2dd60029193874544e3ce1792ecacf921d38653f7fc36ecb54620670c

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=sha256:6dfd713bd7532e09d01c7c24bd5a8bbab2cf5bc72390e7a6c7e4a4e0b98e3152

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:bd1ade2e31ed766478a42e1a24db083063283735c2e6316ba7c48c6980fa6ab8

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=sha256:1d103ce56bc61259bceec9d58f08e864ae43440dd61029dc9b122c89504f1708

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:c6d05fa4b9a0770674a7fc31312f01f1f03f954eb5867f1918002b292485f165

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=sha256:37e54e50be7bf9c4887351ec80c2e2a6a7e68e12a14ba4ee70207d295b6d9daa

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=sha256:63429d8f704ec81ec1967129e0bd8b8f21d50e8972b8f4b36bcf246902071c2f

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:fd75d95219dcfe0b974b7c27d1fd74331cbd2fc1c57de3942fc664d0be707fe9

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:e8534a552a825032efa686753c08fe92ef11b1da7a868e4e491f0bba85644e84

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=sha256:1dd600fae59aaf6fac98a29dc4f598d8eb8c28c5d0f56d7eb847e798783dbb79

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=sha256:37647d52b5de4094809dca8c2dd3f6269f4481c478c3a8a351ceeef95afd6b43

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=sha256:91d8b72e114b5c00dec7801d93094760b7c08048bb291e1a280d360b042c463c

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=sha256:7641d47ebf3821e62037322c5ca3c39742e5354a63b7ce4d21784ad406097fff

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=sha256:8f1a897659293d9b2701b42e6ee89579e1e087ba9ac4667e7811dab3911fb900

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=sha256:4c8286252d4f8391c66736ae8fa24afee39910ced3b27e562bed6687f4952971

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=sha256:353fd22ad5a5d837ce54fd5e8c7edb2a539573d2bbb3b54f9488e1497300cf91

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:f98f278f7ad77b2604c3f38c17cc7e4d1d0b532f9d0c4c3256423f5bd13fd441

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:ed323ee7e66a6b7ac26aabd5d0b676ace26fc6a96f74f4be25a4ff09bfb2584f

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=sha256:69a3fdf8c9f10569ec2abe48ab2f343dcfb465cf7a76211c8cc893e1fbbcee12

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=sha256:4615c956438ef2bdd372b650b80b73fb1afc0b8bc2ffeb64e3f7ea9957670382

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=sha256:76d57303b7f6587be23111fbaec0b3b951210bea16b59fba34955493f99e5d66

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=sha256:3a030ef914a42123d930db43f0aa54ae73c6032e404bdaf87f8085fac8e2ea15

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=sha256:2f6c7306f7ca80ffeacb4dcc3869254a3484aec7fac8bcd95c72b7513abcd995

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=sha256:84c22970077989afc358af0171a175a90c0f68205e9cb090a4e01c217f8a0660

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:cb7e18dde1991c8e7738967e789b4921c7428d3b607fc08f7347d917f6851c38

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:e8f6312c08f15994c1b02b6ac701b7bf12b1ee1ab11c564ed6bbb4663e0077eb

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=sha256:4501edfd7d1258ff6a9ed3687420e4009c498ebf3c53000b13edbb52f298ae5d

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=sha256:21d28c772caad5c1cfa359a15340ecf33fb304e31f86ab9f059d185de82d6039

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:cbc6cc3d335f5bbd388bcadf9ecd9a32779397867e111b385af3092b7fc48412

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=sha256:0cee9274c517a84f7b2ce020a87ae617a6890a53ae82fb50f019c6f95db1cd3a

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=sha256:31da417a322c4d7a492c313576c5392bb4b3dd30e20692d2b5fbbfed8b4064c0

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:c04b01a61255b21ab979349e1ae738720094a194d9799a12f14f6ff4e5174064

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:dc630a5c38b9296f9fa845c1344ba45ead5d96f7066587d83399e1253793328f

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.

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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
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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.

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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
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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 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.

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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.

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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.

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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.

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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.

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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:bfb118fd54c4afa9d68c77feb8f00bcb27cf6bcd4726bab20a2884f58fb532de

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:d2ad94640eef4310e926983c53b46eb0863e06b30ff471391632cd8cc7500b66

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=sha256:78d0fe321736278db0be29072df8a7dfe28668e3015b46a5734591f670614bbb

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:f88c70ddc82af11c1b479e70187dc9b236bab8de2eaff353d78b4352dfc8b077