Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:08:12.856730Z
Paper Citation Record · LEDGER
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2411.12940.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
- verified exact9
- verified fuzzy8
- unresolved45
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9e445512-40ec-4e3d-972d-59237ef456c4 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation f828b0cf-caa3-403a-9bc2-29960345c7a2 · outbound
This paper cites Li , author F.
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73b1108c-9723-4939-ad69-942011fc9004 · outbound
This paper cites Budišić , author R.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Budišić , author R
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6543770-aa9c-40a8-9c4e-e25da03b917d · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc5096f6-6f10-4784-bee1-14d5d47446b6 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9a5d1f2-7700-468d-8d11-eeae21c8a029 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 6
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 666c3b48-2a37-4864-bd9f-67a4432386ba · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 410c4166-0e9f-40af-80dc-d7df9e2810fe · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab30b2ec-beb9-4970-99cd-31e8cdca0d78 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70c7accb-80b6-4523-8276-4a7138580cd0 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6423e3b2-c348-4f39-ad9b-7db05d182c03 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 11
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 611fe2cf-dc76-46d3-9d38-a2ed3a4df75d · outbound
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Reference 12
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Source-reported events for the cited work
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Observation 8420988c-2d42-4f96-ac43-17efe5c81e86 · outbound
This paper cites The Multiverse of Dynamic Mode Decomposition Algorithms.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions The Multiverse of Dynamic Mode Decomposition Algorithms
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc5f01b3-ed13-465e-b58a-8636cd75e6c6 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 14
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffdaa299-d3ed-4a67-8a7e-e98c23453574 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 15
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Source-reported events for the cited work
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Observation 9dba2ff2-8cde-465e-9667-49212408fab1 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 16
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Source-reported events for the cited work
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Observation 08dd8747-b0d8-4dec-a918-267916b2e981 · outbound
This paper cites Lusch , author J.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Lusch , author J
Reference 17
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d173493-5200-4af5-ad04-4a4802aea593 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 18
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19694090-c2bd-4abe-85f4-dee6e2c9b3da · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 19
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5018ddfe-4c8d-4443-8904-aeecacfa378c · outbound
This paper cites Eivazi , author L.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Eivazi , author L
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 6b36bcdb-33f4-4201-9d66-8e71b41ab02d · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Junker , author J
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d4836fbd-349b-4fe1-8679-4c4b4d3be691 · outbound
This paper cites Van Goor , author R.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Van Goor , author R
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e75164c-2ad8-405e-aae7-20faabfeb986 · outbound
This paper cites Leveraging KANs For Enhanced Deep Koopman Operator Discovery.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Leveraging KANs For Enhanced Deep Koopman Operator Discovery
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a0ffc70-9018-44ee-83e9-526742f17f0f · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Rico-Martinez , author K
Reference 24
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98b79079-0cc0-41cb-8bc9-334bebab64f6 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Rico-Martinez , author J
Reference 25
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Observation d4dd140b-7ec3-413f-b472-a82fce5e2bd3 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Rico-Martinez \ and\ author I
Reference 26
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Source-reported events for the cited work
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Observation 921d831e-71d8-4f9c-9363-49ca0c0de6be · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Observation 1b4cb172-7333-42dc-a111-cc0eccdaaa53 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a455e759-9baa-42b4-990d-31bdf5d7514d · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Observation 996030aa-cf39-463d-b2cd-ed9bb4c6725b · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Lasota \ and\ author M
Reference 30
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bca866b6-87e1-4704-96d8-c5412c4dee2c · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Abraham , author J
Reference 31
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Observation cb4a0ccc-e5db-4d0a-a13e-364af3054e7a · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Cvitanović , author R
Reference 32
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Observation 8c5f3902-5a42-4b2f-9215-a991358fa256 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Mauroy \ and\ author J
Reference 33
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Observation c1c92542-5f23-4a34-a4b2-553c538c0151 · outbound
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Reference 34
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Korda \ and\ author I
Reference 35
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Observation cace45bd-afdd-4d36-b682-7af8476bf0ad · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Kidger , author J
Reference 37
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Observation be609f27-40db-41a5-977b-c48f81b47121 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions On Neural Differential Equations
Reference 38
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Finlay , author J.-H
Reference 39
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Observation 5f9016f9-7f67-471c-83ab-baf364555265 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Kelly , author J
Reference 40
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Observation b2805bb2-a6a7-4fa4-8d12-71d641849368 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Observation 094fb4da-6da9-4b18-8ff2-8e6397b97c7e · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Ansel , author E
Reference 43
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Unavailable: canonical work link unavailable.
Observation fedcfc1c-3db7-4f18-8c19-458550725e3d · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Folkestad , author S
Reference 44
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e11383d-2e7c-481c-b9bb-741c1400d186 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Korda \ and\ author I
Reference 45
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Source-reported events for the cited work
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Observation 238f5128-35ac-4bb7-84f5-ddea637851e5 · outbound
This paper cites Data-driven Koopman operator predictions of turbulent dynamics in models of shear flows.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Data-driven Koopman operator predictions of turbulent dynamics in models of shear flows
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29f613ba-3abc-4ebb-8fd1-7807ec5d25fa · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Mauroy \ and\ author J
Reference 47
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41b66fbf-4842-40b7-849e-343a33d3f940 · outbound
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Reference 48
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Unavailable: canonical work link unavailable.
Observation 1a3b4dc2-016f-402f-aa50-02d9f95b51d6 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Peitz , author S
Reference 49
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16a93e38-56c5-4390-bb0e-123ab1cf9ba9 · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Modularized data-driven approximation of the Koopman operator and generator
Reference 50
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b4e6f31-3048-45fe-82d4-f8c40f7401db · outbound
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Racca \ and\ author L
Reference 51
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Observation 5bb2f391-7c54-4c83-84f8-7b1dc9153b70 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f545c5f-7180-4392-b130-ed536b9689a3 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Observation 3b62b751-3f3a-484c-9a74-cb7673db5645 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
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Unavailable: canonical work link unavailable.
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Moehlis , author H
Reference 56
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Moehlis , author H
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Source-reported events for the cited work
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Observation 7fea0d05-b4cb-4079-b246-f7ba23a4c7a2 · outbound
This paper cites Viswanath ,\ @noop title Lyapunov exponents from random Fibonacci sequences to the Lorenz equations \ ( publisher Cornell University ,\ year 1998 ) NoStop.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Viswanath ,\ @noop title Lyapunov exponents from random Fibonacci sequences to the Lorenz equations \ ( publisher Cornell University ,\ year 1998 ) NoStop
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T17:08:14.445769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 48138dbc-c8e6-48f6-9a0b-5ee76c33d433 · outbound
This paper cites Kaiser , author J.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Kaiser , author J
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:08:12.827012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b019a2b-19c6-4b2a-9e1f-6bebfe42d4e2 · outbound
This paper cites Page \ and\ author R.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Page \ and\ author R
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:08:12.831999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e773611e-7996-46c5-b005-f0dff26b9644 · outbound
This paper cites Cenedese , author J.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Cenedese , author J
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:08:12.836977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation beb9c634-e8fd-44b5-bf4c-e9a8a992126c · outbound
This paper cites Haller \ and\ author B.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Haller \ and\ author B
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:08:12.841707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fccaeab3-7456-431f-a54c-f771edc68165 · outbound
This paper cites an unresolved cited work.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Unresolved cited work
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:08:12.846224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39dbcbb9-7a6c-4162-aef0-fbddc423faa7 · outbound
This paper cites Peyr \'e , author M.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Peyr \'e , author M
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T17:08:14.428427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6238f117-6400-4fe7-92e5-a7d7ea354ec1 · outbound
This paper cites Flamary , author N.
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Flamary , author N
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T17:08:14.411158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.