Paper Citation Record · LEDGER

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2608.00571.

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pith.paper-citation-record.v1
2608.00571 v1

Coverage vector

measured 22 of 22 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-15T15:26:26.110569Z

measured 22 of 22 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

22 of 22 outbound references displayed

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Outbound references

Observation eaaaf224-ad62-43c9-bbbe-ec393cd90a2a · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.013388Z

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Unavailable: canonical work link unavailable.

Observation 16f7795f-bad8-4187-ae4c-03596025177a · outbound

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

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Fourier Neural Operator for Parametric Partial Differential Equations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.019111Z

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Observation 08420065-ef08-4fa2-a951-6d6a1780de51 · outbound

This paper cites Neural operator: Learning maps between function spaces with applications to pdes.Journal of Machine Learning Research, 24(89):1–97, 2023.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Neural operator: Learning maps between function spaces with applications to pdes.Journal of Machine Learning Research, 24(89):1–97, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.024117Z

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Observation 3dd64f10-a4a1-4d81-95a2-e4cd79c2f541 · outbound

This paper cites Hamiltonian neural networks.Advances in neural information processing systems, 32, 2019.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Hamiltonian neural networks.Advances in neural information processing systems, 32, 2019

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.028957Z

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Observation bf080340-97a7-45c5-bf33-66a6d8e9200e · outbound

This paper cites Sympnets: Intrinsic structure- preserving symplectic networks for identifying hamiltonian systems.Neural Networks, 132:166–179, 2020.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Sympnets: Intrinsic structure- preserving symplectic networks for identifying hamiltonian systems.Neural Networks, 132:166–179, 2020

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.470607Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 928f9db7-1e2b-4727-9a32-f7e95019f59b · outbound

This paper cites Symplectic neural flows for modeling and discovery.arXiv preprint arXiv:2412.16787, 2024.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Symplectic neural flows for modeling and discovery.arXiv preprint arXiv:2412.16787, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.038052Z

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Observation bff0bfba-016d-48e1-8602-0a6f00798325 · outbound

This paper cites Conformal hamiltonian systems.Journal of Geometry and Physics, 39(4):276–300, 2001.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Conformal hamiltonian systems.Journal of Geometry and Physics, 39(4):276–300, 2001

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.456547Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4499e23c-20d8-45b3-8608-23d98601b34b · outbound

This paper cites Physics-informed neural operator for learning partial differential equations.ACM/IMS Journal of Data Science, 1(3):1–27, 2024.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Physics-informed neural operator for learning partial differential equations.ACM/IMS Journal of Data Science, 1(3):1–27, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.047598Z

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Observation 6f52822e-c826-4acc-a5c2-b8ef74e85ca2 · outbound

This paper cites Transolver: A Fast Transformer Solver for PDEs on General Geometries.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Transolver: A Fast Transformer Solver for PDEs on General Geometries

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.051992Z

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Observation c77eae20-97fc-4c8e-9f01-539799a15d6a · outbound

This paper cites Lagrangian Neural Networks.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Lagrangian Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.056905Z

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Observation 50eb3953-c39d-40c8-8f56-90e69a071c67 · outbound

This paper cites Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.061576Z

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Observation 7bb44b05-bf53-4001-bc47-05027d639e93 · outbound

This paper cites Learning poisson systems and trajectories of autonomous systems via poisson neural networks.IEEE Transactions on Neural Networks and Learning Systems, 34(11):8271–8283, 2022.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Learning poisson systems and trajectories of autonomous systems via poisson neural networks.IEEE Transactions on Neural Networks and Learning Systems, 34(11):8271–8283, 2022

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.432878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca8bba5c-1e55-41fb-b8db-c5bccd4510ce · outbound

This paper cites Neural symplectic form: Learning hamiltonian equations on general coordinate systems.Advances in Neural Information Processing Systems, 34:16659–16670, 2021.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Neural symplectic form: Learning hamiltonian equations on general coordinate systems.Advances in Neural Information Processing Systems, 34:16659–16670, 2021

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.417665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b9b27d01-d3ff-48ce-9e6d-d1e5a3172d1e · outbound

This paper cites Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.075426Z

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Observation 1df45c54-8df9-40bc-aed6-cfea6cd19f3f · outbound

This paper cites Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.080209Z

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Observation bc7c9767-dcf9-489f-9809-2e27076f38a5 · outbound

This paper cites Port-hamiltonian neural networks for learning explicit time-dependent dynamical systems.Physical Review E, 104(3):034312, 2021.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Port-hamiltonian neural networks for learning explicit time-dependent dynamical systems.Physical Review E, 104(3):034312, 2021

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.401168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6073666c-9bb8-4502-8101-23bbfa020633 · outbound

This paper cites Deep gradient learning for efficient camouflaged object detection.Machine Intelligence Research, 20(1):92–108, 2023.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Deep gradient learning for efficient camouflaged object detection.Machine Intelligence Research, 20(1):92–108, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.386575Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94da39e5-12d9-4ff6-8139-1b4565f43a65 · outbound

This paper cites an unresolved cited work.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:26:26.372173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a0b348bc-2cc6-4dfe-ba98-442509cf1bbf · outbound

This paper cites Gfinns: Generic formalism informed neural net- works for deterministic and stochastic dynamical systems.Philosophical Transactions of the Royal Society A, 380(2229):20210207, 2022.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Gfinns: Generic formalism informed neural net- works for deterministic and stochastic dynamical systems.Philosophical Transactions of the Royal Society A, 380(2229):20210207, 2022

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.357628Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9695fd9-9745-4007-8802-96618b64efc0 · outbound

This paper cites Polynomial approximations of symplectic dynamics and richness of chaos in non-hyperbolic area-preserving maps.Nonlinearity, 16(1):123–135, 2003.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Polynomial approximations of symplectic dynamics and richness of chaos in non-hyperbolic area-preserving maps.Nonlinearity, 16(1):123–135, 2003

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.343386Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4b78bc1-50bf-4667-bce9-922da6306017 · outbound

This paper cites Approximation theory of the mlp model in neural networks.Acta numerica, 8:143–195, 1999.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Approximation theory of the mlp model in neural networks.Acta numerica, 8:143–195, 1999

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T15:26:26.106011Z

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Observation 595eca64-2163-4d7c-8918-004025f9f942 · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.Neural networks, 4(2):251–257, 1991.

CoSynFlow: Conformal Symplectic Neural Flows for Cross-System Prediction of Dissipative Hamiltonian Dynamics Approximation capabilities of multilayer feedforward networks.Neural networks, 4(2):251–257, 1991

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:26:26.318880Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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