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Paper Citation Record · LEDGER

Controlling synchronization dynamics via physics-informed neural networks

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2601.00178.

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

pith.paper-citation-record.v1
2601.00178 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:12:21.990349Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

32 of 32 outbound references displayed

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External citation measurements

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Outbound references

Observation e3fb6a58-1f8a-4df4-8c80-b3d8bfa6b530 · outbound

This paper cites Pikovsky, M.

Controlling synchronization dynamics via physics-informed neural networks Pikovsky, M

Reference 1

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Observation 6f7a1a3b-895a-4b37-8254-b9b06c5eb2b0 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 2

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Observation b13e31de-a640-4812-b2c6-fac8b0a208bb · outbound

This paper cites Wiesenfeld, P.

Controlling synchronization dynamics via physics-informed neural networks Wiesenfeld, P

Reference 3

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Observation e2981002-3e72-406d-af7b-8102046dbe10 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 4

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Observation a80bd149-a261-4e2d-9e47-41d57e7e23c8 · outbound

This paper cites Buzs´ aki,Rhythms of the Brain(Oxford University Press, 2006).

Controlling synchronization dynamics via physics-informed neural networks Buzs´ aki,Rhythms of the Brain(Oxford University Press, 2006)

Reference 5

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Observation e0ca91c3-dce6-48e3-92a7-5d4bbe776207 · outbound

This paper cites D¨ orfler, M.

Controlling synchronization dynamics via physics-informed neural networks D¨ orfler, M

Reference 6

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source=pdf_text observed=2026-08-03T13:12:19.081533Z digest=sha256:fc34dc34b4e8979ef0b9e9c9544fc5d95a7f9463f79f660b0c6bdebb2004a782

Observation 1944ae96-cea8-4957-904c-547006d4ce67 · outbound

This paper cites Kuramoto,Chemical Oscillations, Waves, and Turbu- lence(Springer-Verlag, 1984).

Controlling synchronization dynamics via physics-informed neural networks Kuramoto,Chemical Oscillations, Waves, and Turbu- lence(Springer-Verlag, 1984)

Reference 7

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Observation 7dfee9df-c8aa-4581-bfa0-6f96c79f84b0 · outbound

This paper cites Sch¨ oll and H.

Controlling synchronization dynamics via physics-informed neural networks Sch¨ oll and H

Reference 8

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Observation 9bf7347b-24fa-4b1f-b587-146320076a8d · outbound

This paper cites Arenas, A.

Controlling synchronization dynamics via physics-informed neural networks Arenas, A

Reference 9

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Observation 60c508f9-d921-49d0-a7e2-adc84b842ef7 · outbound

This paper cites Wang and F.

Controlling synchronization dynamics via physics-informed neural networks Wang and F

Reference 10

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Observation 197271ca-0e1d-443d-894b-e8e5922ef3be · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 11

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Observation 112b4e7a-6b8e-46a5-b9c8-e4ff15f75c98 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 12

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Observation 8f27953d-5dd4-467e-b44a-05b370c163d0 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 13

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Observation 9284a394-f865-4134-8104-1052405fd856 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 14

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Observation a3b5c38b-21da-407c-b20a-d6803cf4bd51 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 15

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Observation f851f9ec-9538-41e0-b3c7-cbdab29a078e · outbound

This paper cites Zlotnik, Y.-C.

Controlling synchronization dynamics via physics-informed neural networks Zlotnik, Y.-C

Reference 16

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Observation 44d79671-ab07-419b-b879-7bc0699c0716 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 17

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Observation 9ca961d1-14ed-473e-a632-6cafede5d46a · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 18

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Observation 1a215a53-4a9c-477c-a900-5b77ec5f5ea2 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 19

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Observation 8a894f5f-a160-43b0-b3e5-58201d29e157 · outbound

This paper cites Chen, Pinning control and controllability of complex dynamical networks, International Journal of Bifurcation and Chaos17, 4101 (2007).

Controlling synchronization dynamics via physics-informed neural networks Chen, Pinning control and controllability of complex dynamical networks, International Journal of Bifurcation and Chaos17, 4101 (2007)

Reference 20

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Observation 70d63eef-560c-40b0-93fd-60aa2f2496f8 · outbound

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Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 21

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Observation c6fe7ff7-1659-4191-bea9-b0cb03c96dfb · outbound

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Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 22

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Observation 8047f2b8-7a77-4014-8dcf-046d9aaae428 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 23

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Observation 0489961f-3d76-4820-b0b0-63627aff560c · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 24

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Observation 39df9566-b519-484b-9d25-89fbbb22f2af · outbound

This paper cites Raissi, P.

Controlling synchronization dynamics via physics-informed neural networks Raissi, P

Reference 25

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Observation c6d792e6-2b8b-47f2-9be3-11f80437c36a · outbound

This paper cites Luo, Variational physics-informed ansatz for recon- structing hidden interaction networks from steady states (2025), arXiv:2512.13708 [cs.LG].

Controlling synchronization dynamics via physics-informed neural networks Luo, Variational physics-informed ansatz for recon- structing hidden interaction networks from steady states (2025), arXiv:2512.13708 [cs.LG]

Reference 26

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Observation f7636335-b854-4528-bf2b-882a51e2831b · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 27

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Observation 96d1cd37-af16-4806-930e-cb67b1a24f36 · outbound

This paper cites an unresolved cited work.

Controlling synchronization dynamics via physics-informed neural networks Unresolved cited work

Reference 28

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Observation 801b1d5b-74d8-47c8-8c7a-cff8bb39787a · outbound

This paper cites Physics-Informed Neural Nets for Control of Dynamical Systems.

Controlling synchronization dynamics via physics-informed neural networks Physics-Informed Neural Nets for Control of Dynamical Systems

Reference 29

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Observation 61e45285-0ece-4b0a-b9e5-74406d65fa26 · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Controlling synchronization dynamics via physics-informed neural networks Universal Differential Equations for Scientific Machine Learning

Reference 30

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Observation 448acabc-8fcc-499f-8999-8bc4d5631207 · outbound

This paper cites Chenet al., Enhanced physics-informed neural net- works (pinns) for high-order power grid dynamics, arXiv preprint arXiv:2410.10110 (2024).

Controlling synchronization dynamics via physics-informed neural networks Chenet al., Enhanced physics-informed neural net- works (pinns) for high-order power grid dynamics, arXiv preprint arXiv:2410.10110 (2024)

Reference 31

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Observation c41b6369-f812-4bbd-9439-986017a46e83 · outbound

This paper cites Mowlavi and L.

Controlling synchronization dynamics via physics-informed neural networks Mowlavi and L

Reference 32

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Pith citing papers

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