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Paper Citation Record · LEDGER

Hamiltonian Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:1906.01563.

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

pith.paper-citation-record.v1
1906.01563 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:35.856533Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

317
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c51c20b-77cf-4dd1-95c2-16b9a0cc81dd · inbound

Universal Differential Equations for Scientific Machine Learning cites this paper.

Universal Differential Equations for Scientific Machine Learning Hamiltonian Neural Networks

Reference 14

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arxiv_id, observed 2026-05-18T00:24:43.451186Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 267ce6c6-dc3c-4786-a56f-4d3d639dd0cc · inbound

Symmetry-preserving neural networks in lattice field theories cites this paper.

Symmetry-preserving neural networks in lattice field theories Hamiltonian Neural Networks

Reference 57

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no resolver link, observed 2026-08-07T00:58:35.856533Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:35.856533Z digest=sha256:5f011f2a4c71c8db494d81ff6c7e01eb71b407ba3ec17b6c9f492783c3e110e5

Observation 51447153-ec9a-4d89-a271-a449eb454b4f · inbound

Area Scaling of Dynamical Degrees of Freedom in Regularised Scalar Field Theory cites this paper.

Area Scaling of Dynamical Degrees of Freedom in Regularised Scalar Field Theory Hamiltonian Neural Networks

Reference 67

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arxiv_id, observed 2026-05-16T05:17:22.623732Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7fe8304a-a9c9-4f86-917b-f390081cfa4c · inbound

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines cites this paper.

Gradient Networks for Universal Magnetic Modeling of Synchronous Machines Hamiltonian Neural Networks

Reference 2019

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no resolver link, observed 2026-08-02T23:06:36.748661Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:06:36.748661Z digest=sha256:8e14a5dedbff55e1aae26c9673ecedae954ed054976160c7525e4931e07aae29

Observation 142259bd-35fd-4297-90a3-721653056bf8 · inbound

Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data cites this paper.

Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data Hamiltonian Neural Networks

Reference 49

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arxiv_id, observed 2026-05-08T23:14:26.489421Z

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Observation c34c0450-6436-4a71-ac8f-33acdd496fe0 · inbound

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices cites this paper.

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices Hamiltonian Neural Networks

Reference 25

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arxiv_id, observed 2026-05-11T23:36:25.987066Z

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source=pdf_text observed=2026-05-07T16:41:05.442724Z digest=sha256:f6ce6a97d004bcd7592d3eeabdd9169d765dae9de6b239a68795204c4a9a9e57

Observation b1326fbf-afda-4a6a-8be9-de40ef0f0d42 · inbound

Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems cites this paper.

Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems Hamiltonian Neural Networks

Reference 25

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arxiv_id, observed 2026-05-19T19:23:13.019305Z

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source=arxiv_source observed=2026-05-19T19:23:10.537100Z digest=sha256:d5b4b9ec7104e0abda527190939b8ef963de791839e98e4a98d4a4e218c13445

Observation d6e2ad8f-30ee-4d53-a177-63cbb8a807e1 · inbound

Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments cites this paper.

Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments Hamiltonian Neural Networks

Reference 29

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arxiv_id, observed 2026-05-20T06:43:05.794473Z

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source=arxiv_source observed=2026-05-20T06:41:00.221910Z digest=sha256:6e2d7081e0b3b8e9c7b9579014df6edc29702bf225da14fab353f4011b5a8a13

Observation 7c15adfb-4d97-4792-b05d-9fe978e67c8c · inbound

Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction cites this paper.

Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction Hamiltonian Neural Networks

Reference 8

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arxiv_id, observed 2026-05-20T06:48:05.673592Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ea70a15e-59d1-444e-a20f-ff1b36697135 · inbound

A comparative study of accuracy and rollout stability of temporal surrogate models cites this paper.

A comparative study of accuracy and rollout stability of temporal surrogate models Hamiltonian Neural Networks

Reference 7

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arxiv_id, observed 2026-06-30T12:34:38.557173Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 030f5012-426d-4e51-bf24-0fa3c4e7d0df · inbound

UWM-JEPA: Predictive World Models That Imagine in Belief Space cites this paper.

UWM-JEPA: Predictive World Models That Imagine in Belief Space Hamiltonian Neural Networks

Reference 24

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arxiv_id, observed 2026-06-29T22:54:00.895252Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d92f23bd-b3db-4a8b-bd36-8b1f2c2b8731 · inbound

Physics-constrained identification of graph-based thermal networks for spacecraft digital twins cites this paper.

Physics-constrained identification of graph-based thermal networks for spacecraft digital twins Hamiltonian Neural Networks

Reference 17

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arxiv_id, observed 2026-06-29T10:53:18.977221Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5bb81474-afcd-46e2-be38-eb0001b23966 · inbound

Physically Viable World Models: A Case for Query-Conditioned Embodied AI cites this paper.

Physically Viable World Models: A Case for Query-Conditioned Embodied AI Hamiltonian Neural Networks

Reference 23

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arxiv_id, observed 2026-06-29T09:13:16.522837Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 91b4cb84-b06c-4623-9d0a-f4d63a3f091c · inbound

Can Predicted Dynamics Exist in the Physical World? cites this paper.

Can Predicted Dynamics Exist in the Physical World? Hamiltonian Neural Networks

Reference 29

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arxiv_id, observed 2026-06-30T13:04:39.976144Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e4165f82-6a8a-4edf-a28a-00560e488e55 · inbound

Robots Need More than VLA and World Models cites this paper.

Robots Need More than VLA and World Models Hamiltonian Neural Networks

Reference 53

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arxiv_id, observed 2026-07-02T13:46:59.264577Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T01:01:33.530167Z digest=sha256:98ef554c6d6eabda35d982fa1148a6a201f54d27a57547df6bad8470f9b06fe9

Observation 060937fa-31bf-4da8-851b-427f8472671c · inbound

Between Amnesia and Chaos: A Memory Stability Expressivity Trilemma for Trainable Dissipative Oscillator Networks cites this paper.

Between Amnesia and Chaos: A Memory Stability Expressivity Trilemma for Trainable Dissipative Oscillator Networks Hamiltonian Neural Networks

Reference 3

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arxiv_id, observed 2026-07-02T22:37:26.585924Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9c40048b-e036-4689-a901-f8b84e73a4d7 · inbound

Mechanical Field Networks: Structured Neural Dynamics for Multivariate Systems cites this paper.

Mechanical Field Networks: Structured Neural Dynamics for Multivariate Systems Hamiltonian Neural Networks

Reference 9

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arxiv_id, observed 2026-06-27T17:21:06.763983Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 24038dd7-337b-4235-a7fe-4df5ffab53b0 · inbound

NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics cites this paper.

NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics Hamiltonian Neural Networks

Reference 20

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arxiv_id, observed 2026-07-03T17:18:43.329512Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T04:25:27.067362Z digest=sha256:e8851605c912ce6cb8ba0bb91e4671ab7ea3a8f9e998d421844d05b0cef56a61

Observation d178a94b-a92c-4780-8928-780312c8be95 · inbound

Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks cites this paper.

Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks Hamiltonian Neural Networks

Reference 144

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arxiv_id, observed 2026-07-03T22:29:00.688911Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T23:33:16.496226Z digest=sha256:b405db7d392ac2818168cd301db09baa5bc16d723b96a6ea6146cc5112b92fa7

Observation cfc1ccd2-a09a-4a9d-a9f6-3fd405cbc01c · inbound

Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by Generalized Kernel Interpolation cites this paper.

Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by Generalized Kernel Interpolation Hamiltonian Neural Networks

Reference 7

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arxiv_id, observed 2026-06-26T20:19:56.042031Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5b0de3fc-5694-4cbf-b409-59736a76daee · inbound

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models cites this paper.

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models Hamiltonian Neural Networks

Reference 1

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arxiv_id, observed 2026-07-04T16:29:57.586007Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T00:33:13.274947Z digest=sha256:b91f60d10557d0297d22eed0a3210097fb24c499571c17791d30f95f0e3c96d2

Observation 53bba261-2468-4b20-afbd-8800590be184 · inbound

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models cites this paper.

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models Hamiltonian Neural Networks

Reference 1

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arxiv_id, observed 2026-07-03T22:59:01.428549Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T22:58:53.297590Z digest=sha256:62d5e053ed8fc4edcc4f62b1ab122b208faffc6258f816db389f95f68b621ef4

Observation 0bdf828c-64a4-4fd9-931a-cf1c8c5e2825 · inbound

Gravitational Duals from Equations of State II: Large Hierarchies and False Vacua cites this paper.

Gravitational Duals from Equations of State II: Large Hierarchies and False Vacua Hamiltonian Neural Networks

Reference 22

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arxiv_id, observed 2026-06-30T05:04:19.972396Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T05:03:08.822807Z digest=sha256:14489d347ddc2cff3fede1b7ebb1cc33fb604aac536baa834f51dc4375864d1c

Observation 328a17f6-b5b5-4537-9ac9-98f9720e3ff4 · inbound

Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation cites this paper.

Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation Hamiltonian Neural Networks

Reference 58

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arxiv_id, observed 2026-06-30T15:04:46.761461Z

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source=pdf_text observed=2026-06-30T05:12:47.183078Z digest=sha256:0342a7f3e63516bdb182874fdc4f1f432815158a0eecfa381783148eea0dc158

Observation d9304c71-15a0-4bfd-bd42-02f89a2e425f · inbound

Learning the Brain's Dynamics as a Port-Hamiltonian System: A GNN-Surrogate Metriplectic Twin for Non-Equilibrium Cortical Dynamics and Closed-Loop Neuromodulation cites this paper.

Learning the Brain's Dynamics as a Port-Hamiltonian System: A GNN-Surrogate Metriplectic Twin for Non-Equilibrium Cortical Dynamics and Closed-Loop Neuromodulation Hamiltonian Neural Networks

Reference 3

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no resolver link, observed 2026-07-14T11:44:50.475874Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:44:50.475874Z digest=sha256:7146b553a3d38e640bcbdd042951fededfad0c07b76c2bcf2b585631e9d53912

Observation 0d5efed6-b71a-49e9-a6cc-f7aaca4368ed · inbound

Quantum Port-Hamiltonian Neural Networks: Learning Conservative and Dissipative Dynamics via Measurement-Induced Nonlinearity cites this paper.

Quantum Port-Hamiltonian Neural Networks: Learning Conservative and Dissipative Dynamics via Measurement-Induced Nonlinearity Hamiltonian Neural Networks

Reference 8

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no resolver link, observed 2026-08-02T06:43:04.445320Z

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source=pdf_text observed=2026-08-02T06:43:04.445320Z digest=sha256:6cdd869a452e8ec143af5be70547c63850bf2a422b47eefc7ca4d807ea56cb4c

Observation a9db7a47-42f0-44f5-8cf8-6d2b75c468f1 · inbound

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks cites this paper.

Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks Hamiltonian Neural Networks

Reference 6

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no resolver link, observed 2026-08-03T16:16:47.900881Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:16:47.900881Z digest=sha256:308cbdc2422ce1a63535562e3258169c87a8004d4965d6382e8c1ec097af5223

Observation 394c04b6-06bd-4075-9dd4-a17d91bec131 · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Hamiltonian Neural Networks

Reference 41

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no resolver link, observed 2026-08-04T04:31:48.731648Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:31:48.731648Z digest=sha256:fe015b597038de9ad22c74593e5d81e3570fee5f3dd41d68fcc052c41b33c09a