Paper Citation Record · LEDGER

Physics-Guided Deep Learning for Dynamical Systems: A Survey

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2107.01272.

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

pith.paper-citation-record.v1
2107.01272 v6

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measured 0 of 0 reference resolution

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measured 11 of 11 standing notices

One-hop event checks from named stored sources.

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

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:31.017458Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T09:06:09.254718Z

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Outbound references

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Pith citing papers

Observation 584ccf98-9e51-4390-8ce3-a012936dca00 · inbound

Physics Informed Constrained Learning of Dynamics from Static Data cites this paper.

Physics Informed Constrained Learning of Dynamics from Static Data Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:31:31.017458Z

Source-reported events for the cited work

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Observation 48ea0533-b1d2-47b3-9190-940228da56f7 · inbound

Fast and Modular Whole-Body Lagrangian Dynamics of Legged Robots with Changing Morphology cites this paper.

Fast and Modular Whole-Body Lagrangian Dynamics of Legged Robots with Changing Morphology Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:11:41.763911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c7e31d6-bc47-490b-9e0d-1287e7b55b5c · inbound

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems cites this paper.

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:18.619584Z

Source-reported events for the cited work

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Observation bcb64a9f-3d2a-4597-9e81-808e78bfb7ab · inbound

An introduction to Neural Networks for Physicists cites this paper.

An introduction to Neural Networks for Physicists Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:21.938435Z

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Observation 6bbcdd76-84ec-412e-a687-7d016a724364 · inbound

Physics-Infused Reduced-Order Modeling for Analysis of Multi-Layered Hypersonic Thermal Protection Systems cites this paper.

Physics-Infused Reduced-Order Modeling for Analysis of Multi-Layered Hypersonic Thermal Protection Systems Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:43.309926Z

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Observation 81ac4c23-ca8c-4da8-85bc-b92193f54788 · inbound

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models cites this paper.

Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T22:52:50.952931Z

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Observation 8169a715-0b4d-40c7-b7c0-d94089122add · inbound

Generalizing to New Dynamical Systems via Frequency Domain Adaptation cites this paper.

Generalizing to New Dynamical Systems via Frequency Domain Adaptation Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:26:24.780349Z

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Observation 0125b500-bc48-4b17-96b2-bfa23239317e · inbound

Control-Augmented Autoregressive Diffusion for Data Assimilation cites this paper.

Control-Augmented Autoregressive Diffusion for Data Assimilation Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:06:09.256856Z

Source-reported events for the cited work

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Observation 2e441fc9-2fd7-44b7-84d7-90bbe1bc9b58 · inbound

Conditional Clifford-Steerable CNNs for PDE Modeling cites this paper.

Conditional Clifford-Steerable CNNs for PDE Modeling Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:14.038676Z

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

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

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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Observation ab4d78de-0dc7-4a59-81d5-98c69ba97d33 · inbound

LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems cites this paper.

LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T00:46:52.241766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.