Paper Citation Record · LEDGER

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design

As of 21 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2505.03354.

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

pith.paper-citation-record.v1
2505.03354 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:32.201347Z

measured 42 of 42 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:33:59.594500Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:02:52.408824Z

Reference resolution

40 of 40 outbound references displayed

verified exact3
verified fuzzy28
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd9d97ce-03e7-482b-aa31-60612028d060 · outbound

This paper cites W.; Raman, A.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design W.; Raman, A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.911868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37059672-abfc-40f5-8355-ed956c61921b · outbound

This paper cites A.; Anthur, A.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design A.; Anthur, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.801735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 56d3125c-f5ba-4dd0-b94d-c74387bf8c92 · outbound

This paper cites On Loss Functions for Deep Neural Networks in Classification.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design On Loss Functions for Deep Neural Networks in Classification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:32.044987Z

Source-reported events for the cited work

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Observation 486ef274-7f58-4c6b-b447-17ba04632e62 · outbound

This paper cites Applications of physics -informed neural networks in power systems-a review.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Applications of physics -informed neural networks in power systems-a review

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.857083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2cd4a22-bb18-4e6e-ae16-de9f6412e06c · outbound

This paper cites Physics -informed multi -LSTM networks for metamodeling of nonlinear structures.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Physics -informed multi -LSTM networks for metamodeling of nonlinear structures

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.815843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cfc7d127-c4e9-4a5d-aa2a-2f2e182c7d0d · outbound

This paper cites A.; Ghadrdan, M.; Jafari, P.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design A.; Ghadrdan, M.; Jafari, P

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.732005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a04b8582-cf7e-40a6-b21f-3e15ff6aaa73 · outbound

This paper cites an unresolved cited work.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:55:32.690280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ece7a9f1-fab1-4eb1-b1b8-27dab6218f57 · outbound

This paper cites M.; Jiang, L.; Ng, M.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design M.; Jiang, L.; Ng, M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.647990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 68f0dd57-5061-49fa-9062-702a60cd335c · outbound

This paper cites Y .; Tang, H.; Li, H.; Zhou, L.; Ding, J.; Agarwal, A.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Y .; Tang, H.; Li, H.; Zhou, L.; Ding, J.; Agarwal, A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.898715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35f7a6ca-5368-4c54-94bf-06769c453a3d · outbound

This paper cites -B.; Lee, Y .; Choi, D.-H.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design -B.; Lee, Y .; Choi, D.-H

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.870599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5da106d-2367-4a57-9d55-5cc3d2984ec3 · outbound

This paper cites Electromagnetic modeling using an FDTD-equivalent recurrent convolution neural network: Accurate computing on a deep learning framework.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Electromagnetic modeling using an FDTD-equivalent recurrent convolution neural network: Accurate computing on a deep learning framework

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.633892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 752a5e36-dc43-44a8-8c8d-4bbbce36f0c4 · outbound

This paper cites R.; Zekios, C.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design R.; Zekios, C

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.606490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f33dd996-f223-46d5-9d8b-73f65c790193 · outbound

This paper cites Deep-Learning-Aided Detection for Reconfigurable Intelligent Surfaces.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Deep-Learning-Aided Detection for Reconfigurable Intelligent Surfaces

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:55:32.260067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0be48b2-c19e-447f-a8d7-2b8a1105d943 · outbound

This paper cites Intelligent reflecting surface configurations for smart radio using deep reinforcement learning.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Intelligent reflecting surface configurations for smart radio using deep reinforcement learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.592752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29542ae9-e86a-4ed0-92e6-a6f9740571ec · outbound

This paper cites Physics-Informed neural network solver for numerical analysis in geoengineering.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Physics-Informed neural network solver for numerical analysis in geoengineering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.578468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc4b380d-cc03-4c72-b373-f4ccfb1a4fda · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design U-net: Convolutional networks for biomedical image segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.563799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61cfbe20-2dc2-43ff-89e2-dacf01e84fc2 · outbound

This paper cites R.; Paul, E.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design R.; Paul, E

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.533220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 340ec35a-b182-4e48-99a0-7b597bd4de8b · outbound

This paper cites Antenna array processing for radar applications using support vector machines.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Antenna array processing for radar applications using support vector machines

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.519165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16d005c2-6fee-4230-a2db-7e1923ae0301 · outbound

This paper cites Optimization of photonic crystal nanocavities based on deep learning.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Optimization of photonic crystal nanocavities based on deep learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.745809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 859e7660-2989-46c2-ba14-a9bccfdb583a · outbound

This paper cites A review of deep learning approaches for inverse scattering problems (invited review).

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design A review of deep learning approaches for inverse scattering problems (invited review)

Reference 140

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.676523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc5ee47f-f64d-48b1-b2db-a2f91797cfef · outbound

This paper cites C.; Piket -May, M.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design C.; Piket -May, M

Reference 169

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.788082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5639833c-d18f-4e48-8513-2f4a2098b2e7 · outbound

This paper cites Deep-learning-enabled on-demand design of chiral metamaterials.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Deep-learning-enabled on-demand design of chiral metamaterials

Reference 194

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.548651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b3a9db5-bf45-4e2c-ac7a-bf0f4b3c2e22 · outbound

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Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Unresolved cited work

Reference 440

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:55:32.829760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fdc2e035-0b14-4a27-91e3-f61f431c0019 · outbound

This paper cites an unresolved cited work.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Unresolved cited work

Reference 442

Resolution: verified exact; raw_fallback, observed 2026-08-15T23:55:32.432411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 76cff58b-8851-4c03-b156-c66848d96e4b · outbound

This paper cites E.; Kevrekidis, I.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design E.; Kevrekidis, I

Reference 588

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.843336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 434433d5-603f-4723-ac4d-b8bb334087a2 · outbound

This paper cites Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing

Reference 1157

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:32.138834Z

Source-reported events for the cited work

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Observation 88dfd6d2-b73a-4394-abbd-b5945e1a7837 · outbound

This paper cites Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media

Reference 1261

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:32.188572Z

Source-reported events for the cited work

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Observation bec81a35-a86c-41c2-8b7b-a23244bddd4c · outbound

This paper cites Training deep neural networks for the inverse design of nanophotonic structures.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Training deep neural networks for the inverse design of nanophotonic structures

Reference 1368

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.760197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 843c3ff6-cd37-406a-b5aa-42db0f88f3ff · outbound

This paper cites A Hybrid Quantum-Classical Physics-Informed Neural Network Architecture for Solving Quantum Optimal Control Problems.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design A Hybrid Quantum-Classical Physics-Informed Neural Network Architecture for Solving Quantum Optimal Control Problems

Reference 1492

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:32.116428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc1561bc-c2dd-4af6-80cb-70f123e4cb0a · outbound

This paper cites F .; Roundy, D.; Ibanescu, M.; Bermel, P .; Joannopoulos, J.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design F .; Roundy, D.; Ibanescu, M.; Bermel, P .; Joannopoulos, J

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.773853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79c95561-e886-4619-82a5-f0bded5b8177 · outbound

This paper cites Recent advances in convolutional neural networks.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Recent advances in convolutional neural networks

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.884741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ebbbc92-3d4f-4eac-9eb7-61b9caf9eb8f · outbound

This paper cites Phaseless Microwave Imaging Of Dielectric Cylinders: An Artificial Neural Networks-Based Approach.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Phaseless Microwave Imaging Of Dielectric Cylinders: An Artificial Neural Networks-Based Approach

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:55:32.298548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca29b2ff-6a91-4f22-a5ff-1db106f999b8 · outbound

This paper cites Ž.; Olćan, D.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Ž.; Olćan, D

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.620302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 446b85c1-6aae-4587-b66b-290cb067bed9 · outbound

This paper cites M.; Wei, E.; Jiang, L.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design M.; Wei, E.; Jiang, L

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.661843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f9b34de-0865-47b5-9941-8b9154196e26 · outbound

This paper cites Physics-informed Inverse Design of Multi-bit Programmable Metasurfaces.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Physics-informed Inverse Design of Multi-bit Programmable Metasurfaces

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:55:32.469245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b082c726-bcfc-42e9-8b84-9d3d9fc80944 · outbound

This paper cites A review of optical neural networks.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design A review of optical neural networks

Reference 2754

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.704046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6ad51492-267e-4b95-acb8-ea00c5da3416 · outbound

This paper cites On‐demand dynamic polarization meta ‐transformer.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design On‐demand dynamic polarization meta ‐transformer

Reference 4789

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.504626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64b798d2-f7a2-46a8-bf0f-6919df6d99c6 · outbound

This paper cites Computational spectrometers enabled by nanophotonics and deep learning.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Computational spectrometers enabled by nanophotonics and deep learning

Reference 5787

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:55:32.718150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5442d0a8-20e1-47fb-92b5-9aca3fd2f29c · outbound

This paper cites Inverse Design of Frequency Selective Surface Using Physics-Informed Neural Networks.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Inverse Design of Frequency Selective Surface Using Physics-Informed Neural Networks

Reference 6537

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:55:32.489768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c8f32bb-8ea4-441c-8cb9-81cf10cc522d · outbound

This paper cites A Survey of Intelligent Reflecting Surfaces (IRSs): Towards 6G Wireless Communication Networks.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design A Survey of Intelligent Reflecting Surfaces (IRSs): Towards 6G Wireless Communication Networks

Reference 6766

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:32.162000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c1d8b7ea-a658-4bd2-b9a7-ae07ccd65d37 · inbound

Broadband Tunable Deep-UV Emission from AI-Optimized Nonlinear Metasurface Architectures cites this paper.

Broadband Tunable Deep-UV Emission from AI-Optimized Nonlinear Metasurface Architectures Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design

Reference 174

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:59.594500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f07ce4-d64b-49d1-9c08-20d45f245360 · inbound

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing cites this paper.

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design

Reference 341

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T19:02:52.414385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.