Paper Citation Record · LEDGER

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2512.06315.

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

pith.paper-citation-record.v1
2512.06315 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:15:39.078693Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:34:34.900160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:06:30.007269Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf381dd9-3903-40b6-bf1d-178b0194fa1f · outbound

This paper cites Safe Physics-Informed Machine Learning for Dynamics and Control.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Safe Physics-Informed Machine Learning for Dynamics and Control

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.210814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588aa359-883b-4e0f-9e1d-57936765dd03 · outbound

This paper cites an unresolved cited work.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.905062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b71c84e5-c061-441c-af8e-081221106ca1 · outbound

This paper cites URL:https://pysindy.readthedocs.io/en/stable/ examples/8_trapping_sindy_paper_examples/ example.html.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches URL:https://pysindy.readthedocs.io/en/stable/ examples/8_trapping_sindy_paper_examples/ example.html

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.002771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e17f4bdc-38d6-43b0-9bf5-b32c4ea34b47 · outbound

This paper cites IEEE Transactions on Automatic Control 61, 1223–1238.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches IEEE Transactions on Automatic Control 61, 1223–1238

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.328562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f32fc731-355d-4460-a4ee-8f862b8f98c3 · outbound

This paper cites IEEE Transactions on Auto- matic control 46, 1416–1420.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches IEEE Transactions on Auto- matic control 46, 1416–1420

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.579402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c78bdb0-c005-4a26-bbf5-b41e5c649a7a · outbound

This paper cites Causal Structure Recovery of Linear Dynamical Systems: An FFT based Approach.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Causal Structure Recovery of Linear Dynamical Systems: An FFT based Approach

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.645472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e7ebd9-9e45-4e9a-8cd4-55921cc080a4 · outbound

This paper cites Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Direct Data-Driven State-Feedback Control of Linear Parameter-Varying Systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.771161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a73e3ad-4032-4770-aa3b-6d47fd3223e0 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:39.078693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 401eb5dd-5ecc-4520-aed5-0ea521953854 · outbound

This paper cites Lauricella, M., 2020.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Lauricella, M., 2020

Reference 478

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.065514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2232e00f-dd74-4d66-96b3-97fd8ceb4740 · outbound

This paper cites How to Construct Deep Recurrent Neural Networks.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches How to Construct Deep Recurrent Neural Networks

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.442742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d62bfdc1-18a4-4250-ab99-b7ea2b3612b6 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.083930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca963908-ae53-493a-8ea2-7b3eb12fd006 · outbound

This paper cites Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.989074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d79d878f-4248-4c54-8e31-cb5b95338521 · outbound

This paper cites Data-driven system analysis of nonlinear systems using polynomial approximation.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Data-driven system analysis of nonlinear systems using polynomial approximation

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.270022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0dcdf31-8d06-4f90-a35e-f283a9fd6925 · outbound

This paper cites Springer Science & Business Media.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Springer Science & Business Media

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.396079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78bbafd0-c2e2-4579-bcf1-9502a5e61a69 · outbound

This paper cites Automatica 50, 1955–1988.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Automatica 50, 1955–1988

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.556063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63dc268d-4954-4587-afa5-9960b1c3286e · outbound

This paper cites Springer.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Springer

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.734905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b72d03-4682-4a17-98eb-219c8592288b · outbound

This paper cites 4661–4666.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches 4661–4666

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:36.884888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0590d380-082d-4c17-946b-c55f6fff70a0 · outbound

This paper cites Learning Stable Koopman Embeddings for Identification and Control.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Learning Stable Koopman Embeddings for Identification and Control

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.396615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a93ea60-d594-4a79-847a-b40cbbcd3341 · outbound

This paper cites A General Framework for Structured Learning of Mechanical Systems.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches A General Framework for Structured Learning of Mechanical Systems

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.633717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9c94cf-696f-4add-be3e-87733a1e94cb · outbound

This paper cites Advances in Neural Information Processing Sys- tems 33, 11936–11948.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Advances in Neural Information Processing Sys- tems 33, 11936–11948

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.514486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c415793a-8ba6-4f31-b521-1d8a6790f531 · outbound

This paper cites Pseudo-Hamiltonian system identification.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Pseudo-Hamiltonian system identification

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.835858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb78bbf0-aa65-4438-ab71-fefc06e10f4e · outbound

This paper cites IEEE Robotics and Automation Letters 7, 7295– 7302.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches IEEE Robotics and Automation Letters 7, 7295– 7302

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.192713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c102beb9-5416-4537-98e2-90b70c467cc3 · outbound

This paper cites an unresolved cited work.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:36.967912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875b5c81-6a2b-455e-85bd-37aa20bd1097 · outbound

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

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:37.494755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4119cee-a65c-459e-a764-8dc07d4bbf66 · outbound

This paper cites Physics-Guided Deep Learning for Dynamical Systems: A Survey.

Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T18:15:38.912370Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control cites this paper.

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 2026-08-22T06:32:14.747728+00:00.

Observation 5b51d599-014d-4a22-9dc9-b799a4af8f6f · inbound

PE-MHL: Physics-Encoded Modular Hybrid Layers for Scalable Learning of Complex Systems cites this paper.

PE-MHL: Physics-Encoded Modular Hybrid Layers for Scalable Learning of Complex Systems Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches

Reference 3

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 2026-08-22T06:32:14.747728+00:00.

Observation 5bb38f5f-5c25-4fbf-9fcd-6d12def10b18 · inbound

Adaptive Symmetry Discovery for Dynamical System Identification cites this paper.

Adaptive Symmetry Discovery for Dynamical System Identification Control-Oriented System Identification: Classical, Learning, and Physics-Informed Approaches

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-12T00:34:34.900160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.