Pith. sign in

Paper Citation Record · LEDGER

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions

As of 14 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.

pith.paper-citation-record.v1
2411.12940 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:08:12.856730Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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
  • malformed identifier0
  • metadata mismatch3

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
unresolved
raw_fallback, observed 2026-08-12T17:08:14.588987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.540018Z digest=sha256:297a49541e83ffd0e880c01c21fd70f9840f3f6fa88839e77ef32bc473c41f06

Observation f828b0cf-caa3-403a-9bc2-29960345c7a2 · outbound

This paper cites Li , author F.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Li , author F

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.545280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.545280Z digest=sha256:c6cad98d7f04d4af9282b80910d8d3a1d9b036d641cfb0f7b945a23e1427e903

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.550361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.550361Z digest=sha256:ab40dc76ac0da2aabd50da9dace577cdfcdf0f91ae484a536f86cb299305f18a

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.555467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.555467Z digest=sha256:1a54d6591c695df5bf75872383b08495a932752397f83b65874061e5f17f045a

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.560589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.560589Z digest=sha256:1e9492bb0ec5d638658d2c4adcefcc0c0b9ea26c7543f78a8bfbcdc3c15bef1f

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.565623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.565623Z digest=sha256:5269b2196b6e5b8e6cf7351ecac400ab0498f4c20204a3da717a0c6d6de62bc1

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.570911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.570911Z digest=sha256:6db14afda0155f5bdd3de99176e3bd7be72bb4925083e74147856ff622960a69

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.576320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.576320Z digest=sha256:c23776b5c504a44f73483910b45c4b8481d54a97a64ad972ab7c0a8184494906

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.581675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.581675Z digest=sha256:d125fba5112926cd75c744db94e69d761b8c4cce4b437cb0e10187aa202e4b12

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
unresolved
no resolver link, observed 2026-08-12T17:08:12.586402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.586402Z digest=sha256:3d1bc8b9b30920ddb36e8c67cc5135dc2a7821d9e5fdba9d1d16b0e66498d8ed

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.591031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.591031Z digest=sha256:c6dd6370a5522c8208048e4e13336c3bfda476e13bbf234f6549dbbae07c87f9

Observation 611fe2cf-dc76-46d3-9d38-a2ed3a4df75d · outbound

This paper cites Wu , author S.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Wu , author S

Reference 12

Resolution
verified exact
raw_fallback, observed 2026-08-12T17:08:14.393898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.595842Z digest=sha256:7ee1f4af8134e0c24875d7fd784e761e3f2330ba70d75d82777ac3e505b2fbd5

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
unresolved
no resolver link, observed 2026-08-12T17:08:12.600696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.600696Z digest=sha256:c2e894d13f499d66987f54aac6bd0a3fce8bbe69187be37328fb76a5ce186fe4

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.605761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.605761Z digest=sha256:347e626094ca763698b8300c3828b9ee1f5270cbef65dd75b73c8d815307728a

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

Resolution
verified exact
doi, observed 2026-08-12T17:08:13.328458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.610433Z digest=sha256:187ef18c5946f27db7ae8b323fa27967bd5d322e4e13226b1009cccf25ad6caf

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

Resolution
verified exact
doi, observed 2026-08-12T17:08:13.312908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.614814Z digest=sha256:1811e562604640d0ab890a5c6b9d76db294c0f8f143809472cf0f3b8c3e63877

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.619069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.619069Z digest=sha256:057918f3449afe468a6a9ff121ab8e43d79c85b3fd0952ef15419ae786498b13

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.623905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.623905Z digest=sha256:593b975ab87cdb00118d17cebbcf9a193187bb14a2e64fc6218a5b021ac77fbc

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.628931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.628931Z digest=sha256:e12c875828b397754e1fef58aba145765fea79bd4849e7768641da198a331e88

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
metadata mismatch
raw_fallback, observed 2026-08-12T17:08:14.246429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.633750Z digest=sha256:b890efda548f56f3d4ed492c1cabc0e8d92b652d70f0e7517e3ad0b3cc0a4520

Observation 6b36bcdb-33f4-4201-9d66-8e71b41ab02d · outbound

This paper cites Junker , author J.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Junker , author J

Reference 21

Resolution
verified exact
raw_fallback, observed 2026-08-12T17:08:14.167625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.638565Z digest=sha256:4f61066b14d4c26889c4248f2a77834c760e62eebb52add2c9b6a1ed0d6e4df2

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
unresolved
no resolver link, observed 2026-08-12T17:08:12.643290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.643290Z digest=sha256:d338e6a99a01a7f839cdc265a2301027f7b313e13f93db9f043c02b9246555e8

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
unresolved
no resolver link, observed 2026-08-12T17:08:12.648471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.648471Z digest=sha256:9884d239e0faeee51c2e505f1dcf689abbde85e39fcf5139b77168291bca266e

Observation 0a0ffc70-9018-44ee-83e9-526742f17f0f · outbound

This paper cites Rico-Martinez , author K.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Rico-Martinez , author K

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.654222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.654222Z digest=sha256:96a22a7f6349d20fff4df8e043f9d93fbca5b43b389cb4fb5f45b40d74e760e6

Observation 98b79079-0cc0-41cb-8bc9-334bebab64f6 · outbound

This paper cites Rico-Martinez , author J.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Rico-Martinez , author J

Reference 25

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T17:08:14.025645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.659374Z digest=sha256:6bc1aca8b93ff24c90fc69d728bd8eb319777ca5ac3f8c0cd48d6ecfb57ac249

Observation d4dd140b-7ec3-413f-b472-a82fce5e2bd3 · outbound

This paper cites Rico-Martinez \ and\ author I.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.664649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.664649Z digest=sha256:b965b3943e2a4de53658aaef2dcbd20280fcec5a72e5a47452e5b31c13b496a3

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

Reference 27

Resolution
metadata mismatch
raw_fallback, observed 2026-08-12T17:08:13.861603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.669836Z digest=sha256:a4ab698871b14075fbd5583e7cfcd498c80a8ebc2aa2edc2d91d786e2b864870

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

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.674056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.674056Z digest=sha256:627c424316c3335e334a686db38f1a6df6cd4020d41e0c656ee065e65fa1e9c8

Observation a455e759-9baa-42b4-990d-31bdf5d7514d · 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 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:08:14.568936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.678556Z digest=sha256:601c990cc29952f4986ce5303c222e6e4aa87d8a78f2d6c7a1d8bfefde88ebbc

Observation 996030aa-cf39-463d-b2cd-ed9bb4c6725b · outbound

This paper cites Lasota \ and\ author M.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Lasota \ and\ author M

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.682928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.682928Z digest=sha256:a1acf37010a58103f6e76b713e2aaa60d4a3482bd651102f5a237fd788c07fc8

Observation bca866b6-87e1-4704-96d8-c5412c4dee2c · outbound

This paper cites Abraham , author J.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Abraham , author J

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:08:14.550018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.687879Z digest=sha256:a0a6e29db587fe170883fa5cf0a563b616fd9307265a49ab2ff676bb499227c1

Observation cb4a0ccc-e5db-4d0a-a13e-364af3054e7a · outbound

This paper cites Cvitanović , author R.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Cvitanović , author R

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:08:14.532744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.692610Z digest=sha256:5c66c3afcb8ceeb78dc481bfb9c35a5e6b8cf87ceb80e48e79d86c0e8978ba77

Observation 8c5f3902-5a42-4b2f-9215-a991358fa256 · outbound

This paper cites Mauroy \ and\ author J.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Mauroy \ and\ author J

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.697622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.697622Z digest=sha256:899ae658d8a9518b4e1a146293fea9c05466f2680aa2b8aab1da8e8c90a7e287

Observation c1c92542-5f23-4a34-a4b2-553c538c0151 · outbound

This paper cites Klus , author P.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Klus , author P

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.702243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.702243Z digest=sha256:f08466c2c0d0d47d8f4c3203a9ec864fc630e75b3693a629fba48215c7b16392

Observation 76714b76-417c-4b61-ac28-c94c2f29dd5c · outbound

This paper cites Korda \ and\ author I.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Korda \ and\ author I

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.707758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.707758Z digest=sha256:a0c693aea9830dac6ca1b197a633d005c2070bad6f9e6aa2005c3af183527ac8

Observation b92b5c6f-e820-4fb0-a0ef-4ae94c6fa4b8 · 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 36

Resolution
verified exact
doi, observed 2026-08-12T17:08:13.207864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.712999Z digest=sha256:87b5d4cf72eba47dfa45e3949b68f69e84e108b853c417e9620e8803e9ee5849

Observation cace45bd-afdd-4d36-b682-7af8476bf0ad · outbound

This paper cites Kidger , author J.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Kidger , author J

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:08:14.515111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.717589Z digest=sha256:1c6ed320030a30e64d3926d466f1a84f4acb6c4a67267573b431e5b626f4517e

Observation be609f27-40db-41a5-977b-c48f81b47121 · outbound

This paper cites On Neural Differential Equations.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions On Neural Differential Equations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.721958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.721958Z digest=sha256:8277ba17607f4de76de00e1f551b8a32127aab4829722a77f670a84072c27604

Observation d3e54b7b-7569-4418-8e16-7c1c17e6ef08 · outbound

This paper cites Finlay , author J.-H.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Finlay , author J.-H

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:08:14.498724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.727080Z digest=sha256:22349d701e50b885f940a0f1f57e508e4e0ea415bc7603f56868158a32d5ef55

Observation 5f9016f9-7f67-471c-83ab-baf364555265 · outbound

This paper cites Kelly , author J.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Kelly , author J

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:08:14.482088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.731277Z digest=sha256:582d1d1213c7024f05088ed8fb4bcd5fccac98a9c28c760bacbaa891c6fb7c6d

Observation afd3f824-5cf4-4690-803e-4aeb03af9a89 · 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 41

Resolution
verified exact
doi, observed 2026-08-12T17:08:13.177409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.736256Z digest=sha256:df23aacd0a15f743e66ffccac361a69727ffca9a39e8411f950ce1627631bcfa

Observation b2805bb2-a6a7-4fa4-8d12-71d641849368 · 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 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:08:14.463192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.741919Z digest=sha256:0b84dcaa96e6aa6f3d20f1ab5f5c36f64117dfcb7d5657ac390209b2c53c350e

Observation 094fb4da-6da9-4b18-8ff2-8e6397b97c7e · outbound

This paper cites Ansel , author E.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Ansel , author E

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.747863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.747863Z digest=sha256:2c26c59e56945b059818e4e145d5244b14ab6477e2f41635ae81fea4d4a78425

Observation fedcfc1c-3db7-4f18-8c19-458550725e3d · outbound

This paper cites Folkestad , author S.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Folkestad , author S

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.752773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.752773Z digest=sha256:8733cbf37c93db12c81c696989be1e640fd4d1b1c038c70b5ff680fdec50aa35

Observation 5e11383d-2e7c-481c-b9bb-741c1400d186 · outbound

This paper cites Korda \ and\ author I.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Korda \ and\ author I

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.757562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.757562Z digest=sha256:8eaecda03e722e8140ca490986d0a4ac2b883fcddf5c276ac4fd1dcabed53b5c

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
unresolved
no resolver link, observed 2026-08-12T17:08:12.761963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.761963Z digest=sha256:1b5a9bcfc27f3645307363f9c77150a1bf914e66328e62981b67f4344efe381b

Observation 29f613ba-3abc-4ebb-8fd1-7807ec5d25fa · outbound

This paper cites Mauroy \ and\ author J.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Mauroy \ and\ author J

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.767058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.767058Z digest=sha256:d77d38f546be538fe688e91035c176cc839a2bf19ce8a21d4b8de48cad7fa68e

Observation 41b66fbf-4842-40b7-849e-343a33d3f940 · outbound

This paper cites Klus , author F.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Klus , author F

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.772486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.772486Z digest=sha256:597591cc983241116983dfbc993107df4e8a192ba58ea8f7fa489e4b5c9e7916

Observation 1a3b4dc2-016f-402f-aa50-02d9f95b51d6 · outbound

This paper cites Peitz , author S.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Peitz , author S

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.777340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.777340Z digest=sha256:c161c49b541f452dbbd46d958731e826af3f87b5fdbf9d56173a93796d3b2ebf

Observation 16a93e38-56c5-4390-bb0e-123ab1cf9ba9 · outbound

This paper cites Modularized data-driven approximation of the Koopman operator and generator.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.782163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.782163Z digest=sha256:4883be0c572a56f860e2daa41a18912670bb21244629bb8664b5d987d3988301

Observation 4b4e6f31-3048-45fe-82d4-f8c40f7401db · outbound

This paper cites Racca \ and\ author L.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Racca \ and\ author L

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.787937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.787937Z digest=sha256:538cf221e92090861a26c729183843f1d90f2999dad863b375e310d8c99e89e9

Observation 0b72cf37-b555-41c0-ba7c-7ef6fe415c93 · 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 52

Resolution
verified exact
doi, observed 2026-08-12T17:08:13.097544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.792652Z digest=sha256:61b5c488de359904c2d241da9092f650fd19d03087519dfd4ca84e1d19d195f0

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

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.797262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.797262Z digest=sha256:706bd841a41e86ab3e5a5457e14d63b0024d1dbb220c55406e4b54e2d0de7f00

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

Reference 54

Resolution
verified exact
doi, observed 2026-08-12T17:08:13.068490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.801950Z digest=sha256:824de8b0790d1d82ec02118785df25a67b80f06c32f9ac98d7fb34ce5e40c4b5

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

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.807416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.807416Z digest=sha256:57dd9bdb6059eebebc0598343a98467749d94adb1d70ca3597937085af99de19

Observation 0fb6ab8d-fff5-47d7-bb5c-e937a960334a · outbound

This paper cites Moehlis , author H.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Moehlis , author H

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T17:08:12.812417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:08:12.812417Z digest=sha256:df0c5ac9e5e17110d2af7707ab070dc8457afc03c7a43d99e102f5d53a8122f9

Observation 633cb119-4c6c-4e10-bae6-e1616461388b · outbound

This paper cites Moehlis , author H.

On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Moehlis , author H

Reference 57

Resolution
verified exact
doi, observed 2026-08-12T17:08:12.950431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.817071Z digest=sha256:28b58bf76fa487e51b91a548d887b1f143a6554c639448ba0ba061aa15ff81be

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.821952Z digest=sha256:076cf26a77f8e859829ed8a42e6106b3390e9c0c7d3e0de8e873ba72e44b298c

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.

source=arxiv_source observed=2026-08-12T17:08:12.827012Z digest=sha256:5f3aca1f77742a9d5912badd16f48b2fc4808faf85998f3d9855f736d9730fd1

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.

source=arxiv_source observed=2026-08-12T17:08:12.831999Z digest=sha256:148bd1cae8ac5a1fa54721ad3ceb635e8c9992cd144187aaf08f9a8b7029a9cf

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.

source=arxiv_source observed=2026-08-12T17:08:12.836977Z digest=sha256:84240b94d0c5f8adeaf848dc64b4bb739a388e4947884d2fbb49ed13bd82ffc0

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.

source=arxiv_source observed=2026-08-12T17:08:12.841707Z digest=sha256:2f0f3b2f2b97279b9e5e4e59a3653665afe2f0c2ceafd050570b274fb6ce6b04

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.

source=arxiv_source observed=2026-08-12T17:08:12.846224Z digest=sha256:9f1f91e31df343bfc32cbd5fceac3e0c566f0614a11cddb29047c2d83cebc9a6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.851782Z digest=sha256:cd39344d5a12b4bb758fd7946e95084fe7bc00cc8cf8ce00c52d3e5c21d83820

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T17:08:12.856730Z digest=sha256:ac9dad1d75f48d6d5a47eb5b69809110c33e0039b32cf01880a9045e1dab0e85

Pith citing papers

No inbound Pith citation observations are available.