Paper Citation Record · LEDGER

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2211.08064.

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

pith.paper-citation-record.v1
2211.08064 v2

Coverage vector

measured 0 of 0 reference resolution

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measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:48:54.350979Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:30:02.738290Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation abc95844-0caa-4be1-939e-ba61f6d5ebd9 · inbound

Bayesian Reasoning for Physics Informed Neural Networks cites this paper.

Bayesian Reasoning for Physics Informed Neural Networks Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:06:03.944334Z

Source-reported events for the cited work

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Observation a78b323c-68c9-4136-9195-4eeb75633004 · inbound

Physics-Informed Neural Networks for microflows: Rarefied Gas Dynamics in Cylinder Arrays cites this paper.

Physics-Informed Neural Networks for microflows: Rarefied Gas Dynamics in Cylinder Arrays Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 50

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Observation ee286188-19c6-460d-92b1-4b6800e41bb9 · inbound

ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks cites this paper.

ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 15

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Observation 03b9eec3-e558-4027-9994-010f1bfaf8a9 · inbound

Autonomous Task Completion Based on Goal-directed Answer Set Programming cites this paper.

Autonomous Task Completion Based on Goal-directed Answer Set Programming Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 8

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Observation c33cec21-1a4d-42f9-8a35-612bc10776b0 · inbound

An introduction to Neural Networks for Physicists cites this paper.

An introduction to Neural Networks for Physicists Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 32

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Observation 506b232a-6e06-4382-8254-871527fddc24 · inbound

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design cites this paper.

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:48:54.350979Z

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Observation c2b7e67f-c494-4710-9d84-78c822c76b35 · 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-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 16

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Observation 5480dbd9-2285-4e4a-8f2b-31ba1b74a2c0 · inbound

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy cites this paper.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 21

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IKEBANA: A Neural-Network approach for the K-shell ionization by electron impact cites this paper.

IKEBANA: A Neural-Network approach for the K-shell ionization by electron impact Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:48:53.449085Z

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Experimental cross sections for K-shell ionization by electron impact cites this paper.

Experimental cross sections for K-shell ionization by electron impact Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:24.523202Z

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Observation a798f3ac-c260-4cc7-9386-96ec12f64369 · inbound

Physics-Informed Neural Networks For Semiconductor Film Deposition: A Review cites this paper.

Physics-Informed Neural Networks For Semiconductor Film Deposition: A Review Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:24:48.957034Z

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Observation 33cf101a-798b-41dc-8f99-7ab24d25c609 · inbound

Graph-based Summary Statistics for Revealing the Stochastic Gravitational Wave Background in Pulsar Timing Arrays cites this paper.

Graph-based Summary Statistics for Revealing the Stochastic Gravitational Wave Background in Pulsar Timing Arrays Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:51:23.657095Z

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Observation a84aa1fe-4814-4a0d-8981-f3d07b592160 · inbound

Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling cites this paper.

Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:00:53.508940Z

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Observation be258992-cbc4-4078-8453-5e1e4395e14c · inbound

Mapping-based Hard-constrained Physics-Informed Neural Networks for unbounded wave problems cites this paper.

Mapping-based Hard-constrained Physics-Informed Neural Networks for unbounded wave problems Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:11:17.216584Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c53bb6ec-e312-4a0f-9b43-313c104927d0 · inbound

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework cites this paper.

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.899712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5359fbb5-7e6b-4c33-9aa8-55f406db7ff9 · inbound

AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training cites this paper.

AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T21:03:46.654488Z

Source-reported events for the cited work

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Observation 8e605019-bf32-4c33-b1d4-01a01877c220 · inbound

LLM-driven design of physics-constrained constitutive models: two agents are better than one cites this paper.

LLM-driven design of physics-constrained constitutive models: two agents are better than one Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:55:23.971170Z

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Observation db458d87-b013-4016-a9e1-c4e0c4fb9fbf · inbound

PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces cites this paper.

PINNsur: Physics-Informed Neural Networks for PDEs on Curved Surfaces Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:33:30.496459Z

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Observation 8253991f-38d4-468e-aa5c-d145bd90c650 · inbound

OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems cites this paper.

OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:49:17.859914Z

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Observation d7b55e06-5ff1-4dd0-aa72-2d529972e93d · inbound

A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate Modeling cites this paper.

A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate Modeling Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:58:43.074602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff6d40a9-65dc-4fd2-a516-e29a67dcb552 · inbound

A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling cites this paper.

A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:30:02.739757Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 98d7efe1-d041-4be0-8b56-960964245ad8 · inbound

A Scoping Review of Physics Informed Machine Learning for Wave Propagation Modeling in Seismology cites this paper.

A Scoping Review of Physics Informed Machine Learning for Wave Propagation Modeling in Seismology Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:56:24.166256Z

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Observation 9a955d83-b15b-4571-8976-a03a6e2ebcfd · inbound

Cardiovascular Digital Twins from Physics Based to Data Driven Approaches cites this paper.

Cardiovascular Digital Twins from Physics Based to Data Driven Approaches Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T13:51:08.362826Z

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Observation 7cf6144c-1882-4bde-ac10-9ce0c0024d2c · inbound

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations cites this paper.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:19.351615Z

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