Paper Citation Record · LEDGER

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control

As of 4 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2604.26172.

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

pith.paper-citation-record.v1
2604.26172 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:08:48.444185Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

31 of 31 outbound references displayed

verified exact4
verified fuzzy27
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e751df58-e0cb-432a-a170-7afe8783ecc7 · outbound

This paper cites Port-hamiltonian systems theory: An introductory overview.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Port-hamiltonian systems theory: An introductory overview

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.898451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a10fed5-04ff-4d44-8eb3-ad45ea478702 · outbound

This paper cites Putting energy back in control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Putting energy back in control

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.901340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c39687f3-32d9-46f8-b1f7-42f52aa055ba · outbound

This paper cites Van der Schaft,L 2-Gain and Passivity Techniques in Nonlinear Control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Van der Schaft,L 2-Gain and Passivity Techniques in Nonlinear Control

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.870720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 545cffbc-14a6-427d-a118-7b0d3acfb611 · outbound

This paper cites Control by interconnection and standard passivity-based control of port-Hamiltonian systems.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Control by interconnection and standard passivity-based control of port-Hamiltonian systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.874083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 517f321c-3f8a-4726-a741-5fe9b72a950f · outbound

This paper cites Reinforcement learning for port-Hamiltonian systems.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Reinforcement learning for port-Hamiltonian systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.866839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa471c8f-c455-40fa-94a9-ca92e68aedfa · outbound

This paper cites Designing of robust adaptive passivity-based controller based on reinforcement learning for nonlinear port-Hamiltonian model with disturbance.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Designing of robust adaptive passivity-based controller based on reinforcement learning for nonlinear port-Hamiltonian model with disturbance

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.934186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 934ac4a1-babb-42dd-8d14-b64825599957 · outbound

This paper cites Optimal energy shaping via neural approxima- tors.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Optimal energy shaping via neural approxima- tors

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.913446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4755545b-bf15-41dc-b02d-7e0367f4e394 · outbound

This paper cites Total energy shaping with neural interconnection and damping assignment-passivity based control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Total energy shaping with neural interconnection and damping assignment-passivity based control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.908039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 694448eb-3bc8-4f6e-becf-01fa098bba7e · outbound

This paper cites Bayesian inference for path following control of port- Hamiltonian systems with training trajectory data.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Bayesian inference for path following control of port- Hamiltonian systems with training trajectory data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.916722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1943f1e4-de38-41fc-81d3-a2b1036f5d2f · outbound

This paper cites Physics-informed multi-agent reinforcement learning for distributed multi-robot problems.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Physics-informed multi-agent reinforcement learning for distributed multi-robot problems

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.939481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 399120cc-63fe-40a4-8dfa-3b94897998a2 · outbound

This paper cites Dissipation obstacle hampers control-by-interconnection methodology.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Dissipation obstacle hampers control-by-interconnection methodology

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.910962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e38c3314-cebe-4ff7-aab8-3d56534815a4 · outbound

This paper cites Hamiltonian neural networks.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Hamiltonian neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.931667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 049f98bc-177c-48fa-bd63-17bdd41de472 · outbound

This paper cites Symplectic ODE-Net: Learning Hamiltonian dynamics with control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Symplectic ODE-Net: Learning Hamiltonian dynamics with control

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.882843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41d0116d-14a8-4c4d-a454-0860bb522554 · outbound

This paper cites Port-hamiltonian neural ODE networks on Lie groups for robot dynamics learning and control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Port-hamiltonian neural ODE networks on Lie groups for robot dynamics learning and control

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.921924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 97cb42f6-4eaa-45e0-82d5-c83487ecd134 · outbound

This paper cites Stochastic port-Hamiltonian neural networks: Universal approximation with passivity guarantees.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Stochastic port-Hamiltonian neural networks: Universal approximation with passivity guarantees

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:29.067462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9672ca7-f195-4e8e-ac1f-4fcb91214c52 · outbound

This paper cites Learning subsystem dynamics in nonlinear systems via port-hamiltonian neural networks.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Learning subsystem dynamics in nonlinear systems via port-hamiltonian neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.904427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe9caa1a-fe95-406e-a77f-5020176d736b · outbound

This paper cites Learning switching port-hamiltonian systems with uncertainty quantification.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Learning switching port-hamiltonian systems with uncertainty quantification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.889343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f7fa54b-6094-40c0-88b3-08cd80c31ec3 · outbound

This paper cites Gaussian process port-hamiltonian systems: Bayesian learning with physics prior.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Gaussian process port-hamiltonian systems: Bayesian learning with physics prior

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.892522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 502ce3bc-0ccd-4ad3-ab02-d3d484246658 · outbound

This paper cites Stable port-hamiltonian neural networks.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Stable port-hamiltonian neural networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:29.510587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 26ec8ab6-4df5-43d1-a553-6f4823bc0cec · outbound

This paper cites Learning neural koopman operators with dissipativity guarantees.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Learning neural koopman operators with dissipativity guarantees

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.886272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87b1f515-2498-4703-b794-7e5924310259 · outbound

This paper cites Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-16T02:21:43.866489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a0fd9a3-4e91-4f27-86b9-feb0a2019611 · outbound

This paper cites Lyapunov-stable neural-network control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Lyapunov-stable neural-network control

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:29.878690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 818add61-dd7c-41f9-b87b-34fed65a214f · outbound

This paper cites Neural lyapunov control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Neural lyapunov control

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.924182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c0c81eb-673c-42ca-a524-17de29f4a9d1 · outbound

This paper cites A survey on physics informed reinforcement learning: Review and open problems.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control A survey on physics informed reinforcement learning: Review and open problems

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.895761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07233bbc-6257-47c6-ac2f-ded25d6c35ee · outbound

This paper cites Neural ordinary differential equations.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Neural ordinary differential equations

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.929185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7a97db3-3c90-47ea-844d-06b60789e650 · outbound

This paper cites Multi-objective loss balancing for physics-informed deep learning.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Multi-objective loss balancing for physics-informed deep learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.942273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41857210-c017-4f1d-bb77-84ddc13e91a2 · outbound

This paper cites Understanding and mitigating gradient flow pathologies in physics-informed neural networks.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Understanding and mitigating gradient flow pathologies in physics-informed neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.919105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6980a13d-ac62-48c3-a30b-277eb66e40d6 · outbound

This paper cites Automatic differentiation in machine learning: a survey.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Automatic differentiation in machine learning: a survey

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.926492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb3b6024-72b1-4912-a8fc-45f98521ad52 · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control SGDR: Stochastic gradient descent with warm restarts

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.877201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1723b0b5-a264-4a1c-8bb3-195bc59fd12f · outbound

This paper cites Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Learning to predict 3D rotational dynamics from images of a rigid body with unknown mass distribution

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.880051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation edd31f9d-a198-4af7-a497-4000a2b9d4d1 · outbound

This paper cites Unsupervised learning of Lagrangian dynamics from images for prediction and control.

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control Unsupervised learning of Lagrangian dynamics from images for prediction and control

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:08.936854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.