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Paper Citation Record · LEDGER

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling

As of 17 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 0 inbound Pith citation observations for arXiv:2607.07274.

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

pith.paper-citation-record.v1
2607.07274 v1

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T15:33:16.923367Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

98 of 98 outbound references displayed

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  • verified fuzzy95
  • unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23aed1c7-3db5-4d05-a2c0-a38d96e8fbab · outbound

This paper cites Roadmapping the next generation of silicon photonics,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Roadmapping the next generation of silicon photonics,

Reference 1

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Observation 1bd6b316-18d6-487b-9f0c-8ed9240afa8e · outbound

This paper cites Roadmap on optical communications,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Roadmap on optical communications,

Reference 2

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Observation da681381-5415-408e-98a5-ffb2161b8cdb · outbound

This paper cites Space-division mul- tiplexing for optical fiber communications,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Space-division mul- tiplexing for optical fiber communications,

Reference 3

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Observation f1d93b49-fea2-4f6d-b38f-d3ff0e4492d2 · outbound

This paper cites Local and global optimization methods for optical line control based on quality of transmission,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Local and global optimization methods for optical line control based on quality of transmission,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f7319416-a799-410b-adee-399d1f777bd7 · outbound

This paper cites Digital twin of optical networks: a review of recent advances and future trends,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Digital twin of optical networks: a review of recent advances and future trends,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 92f91099-4087-411f-b394-284c3f745e17 · outbound

This paper cites Measurement informed models and digital twins for optical fiber communication systems,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Measurement informed models and digital twins for optical fiber communication systems,

Reference 6

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Source-reported events for the cited work

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Observation f3a3861d-6131-4fce-82df-9b4c4a030fc6 · outbound

This paper cites Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Advancing theoretical understanding and practical performance of signal processing for nonlinear optical communications through machine learning,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a7d385fb-81ff-4e10-9501-d0818db5a598 · outbound

This paper cites Neuromorphic silicon photonics and hardware-aware deep learning for high-speed inference,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Neuromorphic silicon photonics and hardware-aware deep learning for high-speed inference,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d1b76042-339b-4d90-9df6-28b04cd3a46c · outbound

This paper cites Demonstration of programmable brain-inspired optoelectronic neuron in photonic spiking neural network with neural heterogeneity,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Demonstration of programmable brain-inspired optoelectronic neuron in photonic spiking neural network with neural heterogeneity,

Reference 9

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Source-reported events for the cited work

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Observation 79e24cd3-d706-40e4-acb1-f8287afe7468 · outbound

This paper cites Hardware error correction for programmable photonics,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Hardware error correction for programmable photonics,

Reference 10

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Source-reported events for the cited work

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Observation 0e0acaa8-93ab-49cb-9520-e1c4cad8b963 · outbound

This paper cites Trustopt: a trusted online optimization strategy for reliable autonomous optical networks with field-trial demonstration,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Trustopt: a trusted online optimization strategy for reliable autonomous optical networks with field-trial demonstration,

Reference 11

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Source-reported events for the cited work

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Observation eb9d7ee1-2548-4b8a-85b2-ad5c03704606 · outbound

This paper cites Control and calibration recipes for photonic integrated circuits,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Control and calibration recipes for photonic integrated circuits,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7a955fe4-27a2-418b-8859-56e0559f1e52 · outbound

This paper cites Online versus offline optimization methods for Raman amplifier optimization,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Online versus offline optimization methods for Raman amplifier optimization,

Reference 13

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Source-reported events for the cited work

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Observation fba1faaa-15e5-4965-b753-efec6637c447 · outbound

This paper cites Scal- able machine learning-assisted clear-box characterization for optimally controlled photonic circuits,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Scal- able machine learning-assisted clear-box characterization for optimally controlled photonic circuits,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3c10147b-6cf5-4026-8196-ff02c6e4b274 · outbound

This paper cites Gradient-free training of autoencoders for non-differentiable communication chan- nels,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Gradient-free training of autoencoders for non-differentiable communication chan- nels,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cdcc98db-5f8b-4ba1-9c24-9b58f1292eb5 · outbound

This paper cites Inverse design of a Raman amplifier in frequency and distance domains using convolutional neural networks,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Inverse design of a Raman amplifier in frequency and distance domains using convolutional neural networks,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d9567b76-e89d-4f2e-822b-f53c575b00b7 · outbound

This paper cites A comparison between black-, gray-and white-box modeling for the bidirectional Raman amplifier optimization,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling A comparison between black-, gray-and white-box modeling for the bidirectional Raman amplifier optimization,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e7284c58-e726-4234-9e0d-f1791b77e4dd · outbound

This paper cites Neural network modeling of bismuth-doped fiber amplifier,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Neural network modeling of bismuth-doped fiber amplifier,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3be382ae-31d9-4efe-8389-e3a1279f5d36 · outbound

This paper cites Inverse system design using machine learning: The Raman amplifier case,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Inverse system design using machine learning: The Raman amplifier case,

Reference 19

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Observation 7c2ae003-0936-40f2-b410-861201d5da01 · outbound

This paper cites Diode lasers and photonic integrated circuits,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Diode lasers and photonic integrated circuits,

Reference 20

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7270d768-422e-4438-b549-102a79f89c8a · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1f8b11d1-9bab-465c-b61c-46fcd360fa9d · outbound

This paper cites Machine learning tools for modeling and optimization in optical communications and optical computing,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Machine learning tools for modeling and optimization in optical communications and optical computing,

Reference 22

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Observation 415200e2-867e-4421-b3c3-aa422fba61d9 · outbound

This paper cites Fiber-agnostic machine learning based Raman amplifier models,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Fiber-agnostic machine learning based Raman amplifier models,

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation efc2b217-37ec-4a7e-86ef-50187b214a4b · outbound

This paper cites Comprehensive model of MZI-based circuits for photonic computing applications,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Comprehensive model of MZI-based circuits for photonic computing applications,

Reference 24

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Observation 7a4bad60-2290-413e-a878-5532dbcc3f1c · outbound

This paper cites PyTorch: An Imperative Style, High- Performance Deep Learning Library,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling PyTorch: An Imperative Style, High- Performance Deep Learning Library,

Reference 25

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Source-reported events for the cited work

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Observation 21600fda-6959-494c-9443-e997fdfc2ceb · outbound

This paper cites JAX: composable transformations of Python+NumPy programs,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling JAX: composable transformations of Python+NumPy programs,

Reference 26

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Source-reported events for the cited work

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Observation a1c31752-13c5-4bbc-abd1-01c318e9f588 · outbound

This paper cites Analytical model of Raman gain effects in massive wave- length division multiplexed transmission systems.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Analytical model of Raman gain effects in massive wave- length division multiplexed transmission systems

Reference 27

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Source-reported events for the cited work

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Observation 746dce0c-6be3-4b4c-a80b-7ec8a75de148 · outbound

This paper cites Raman amplification for fiber communications systems,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Raman amplification for fiber communications systems,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 241b0374-cb2e-4cf2-becb-e0ba931cefc2 · outbound

This paper cites Effective shooting algorithm and its application to fiber amplifiers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Effective shooting algorithm and its application to fiber amplifiers,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 86f98683-fae6-418e-afee-4cfb678c78c2 · outbound

This paper cites Modeling of gain in erbium-doped fiber amplifiers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Modeling of gain in erbium-doped fiber amplifiers,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3b0a2383-4d2d-4947-ba67-c846e6d7cb5f · outbound

This paper cites A time-domain computer simulator of the nonlinear response of semiconductor optical amplifiers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling A time-domain computer simulator of the nonlinear response of semiconductor optical amplifiers,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1e07003e-6c46-4a25-8b8f-03c865949390 · outbound

This paper cites Differentiable machine learning-based modeling for directly-modulated lasers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Differentiable machine learning-based modeling for directly-modulated lasers,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 51a5f3f4-3813-4bc9-a483-d798899c702a · outbound

This paper cites Petermann,Laser Diode Modulation and Noise, ser.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Petermann,Laser Diode Modulation and Noise, ser

Reference 33

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raw_fallback, observed 2026-07-09T15:36:19.116509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:07f1ecf36794662374d9e9b71a01781cec7dfe489e410accd717ad1cf7a53482

Observation 3fb160e7-d37f-474b-90f7-9fac7da027ba · outbound

This paper cites Effects of carrier transport on high-speed quantum well lasers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Effects of carrier transport on high-speed quantum well lasers,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.070723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:533e025a1b84b2bd74db7640101e14179667c3ede727ff5d6ac92195a7da658f

Observation 92996088-61fc-4dbc-a57d-fd1256cbcc54 · outbound

This paper cites Extraction of DFB laser rate equa- tion parameters for system simulation purposes,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Extraction of DFB laser rate equa- tion parameters for system simulation purposes,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.166326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:8965873b6ccb31d45c9f5f33ac368597cff6f9a85be14d19950fd040524af1c5

Observation eefa3412-da15-4fc9-b420-68343ab515d2 · outbound

This paper cites Particle swarm optimization-assisted approach for the extraction of VCSEL model parameters,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Particle swarm optimization-assisted approach for the extraction of VCSEL model parameters,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.157095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:9f713742cdfa76bb58240bf2fc933e42fb6c244be947a26eecddf66cf76a46a6

Observation df7039c4-91cf-4312-a770-3954e7a6c13f · outbound

This paper cites Roadmap on Neuromorphic Photonics.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Roadmap on Neuromorphic Photonics

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-09T15:36:18.994964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:22b8ae33934a4fe67cd8ef85c1a2ff5c086026a6675a14900d9e95db409c23c7

Observation 23e6244b-d9c0-4643-8e4a-bab570418693 · outbound

This paper cites Optimal design for universal multiport interferometers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Optimal design for universal multiport interferometers,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.144627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:f38fc0a04a0ec2654b3d92e87ef79cc0dc29925aea40b10538d8540e149e908d

Observation 621a6a88-2878-4e57-ae76-a504f6844a49 · outbound

This paper cites The di- amond mesh, a phase-error- and loss-tolerant field-programmable MZI- based optical processor for optical neural networks,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling The di- amond mesh, a phase-error- and loss-tolerant field-programmable MZI- based optical processor for optical neural networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.063915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:1338d2b1c1a9d25993d35507ce79a39a69207153c45ff0387f204f8fbd628b3a

Observation 1af431e2-13c7-4319-a7f1-a866e20b246f · outbound

This paper cites A compact butterfly-style silicon photonic–electronic neural chip for hardware-efficient deep learning,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling A compact butterfly-style silicon photonic–electronic neural chip for hardware-efficient deep learning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.214689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:73c2f8e979405beffa0a56a7b30ba0435e47bf2e6b84dcef3b61d2361b290938

Observation 6e10115f-2b13-45a4-897a-a016cf491771 · outbound

This paper cites Addressing the programming challenges of practical in- terferometric mesh based optical processors,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Addressing the programming challenges of practical in- terferometric mesh based optical processors,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.114295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:0098a0a23f74388e0e2f81daa3e183a38d9cf0649735bab8c65635257cbd3da8

Observation bb563ce3-1312-4c5e-98a3-f83d4617f96c · outbound

This paper cites Real-valued optical matrix computing with simplified MZI mesh,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Real-valued optical matrix computing with simplified MZI mesh,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.123147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:b91d899378960c91737bda481c19eab37aff09c5d3be5e266117e6a3aa772b89

Observation 01b783db-b00e-422d-8cc7-23c696582b7e · outbound

This paper cites Low-depth, compact, and error-tolerant photonic matrix-vector multiplication beyond the unitary group,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Low-depth, compact, and error-tolerant photonic matrix-vector multiplication beyond the unitary group,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.176399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:ce0eb9a7aad2bc3f1a9b88fe576ff983f8b4d266f7aca6c5ce58b5574d10ff23

Observation 77c49317-0fbf-405a-9680-178ff7ea7909 · outbound

This paper cites Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.224767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:9ec093790233411bd47609108495f4aafc4b576b59750a2e8578d112eb6e5ab3

Observation 699442d2-3415-49ca-8915-6ff377125951 · outbound

This paper cites Mitigating linear optics imperfections via port allocation and compilation.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Mitigating linear optics imperfections via port allocation and compilation

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-07-09T15:36:18.997579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:a03ef4411684244b774d4d8c30128aa400be55bba8eb51af3d48e1ca1afd26b6

Observation 31a559c1-fbc1-45b6-aa35-c9eb378a27d6 · outbound

This paper cites Unscrambling light—automatically undoing strong mixing between modes,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Unscrambling light—automatically undoing strong mixing between modes,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.069617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:2db180e557b00ee0e2abe69641877b1d8a4786ba25d7faa0e5ed70b360bc2993

Observation 08c09c75-47be-4448-8cd6-1a58310205c6 · outbound

This paper cites Multipurpose silicon photonics signal processor core,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Multipurpose silicon photonics signal processor core,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.058539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:927b2f47b4b88370b58fdcbc91e480351a37847ae02c0cab9dd4be96d7f28df2

Observation 31144ebd-0932-43f1-a8d0-0ff955582b30 · outbound

This paper cites Data-driven mod- eling of Mach-Zehnder interferometer-based optical matrix multipliers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Data-driven mod- eling of Mach-Zehnder interferometer-based optical matrix multipliers,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.191712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:0445b7256fcd1eccd245b732b60ca2d0bc804aa45ec880e29b408ee99b804cab

Observation add26666-fdef-492e-98ff-4f8995bbaac3 · outbound

This paper cites Thermal crosstalk modelling and compensation methods for programmable photonic integrated circuits,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Thermal crosstalk modelling and compensation methods for programmable photonic integrated circuits,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.089613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:30e6fc520a8fc7ff6a282ba2f5a4d0f1ac7ba49a8270b4dd9c49f5c813ee022f

Observation 77afb835-6d82-4f09-ae5a-85a7864a2930 · outbound

This paper cites Robust, compact, and flexible neural model for a fiber Raman amplifier,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Robust, compact, and flexible neural model for a fiber Raman amplifier,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.065425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:f0ce8421554977ce65155b227f3683ba55c9b486e14f8e536753ce0e28656d2a

Observation a6feb013-d2a9-4699-91e3-4e87205305db · outbound

This paper cites Simple model for quantum-dot semiconductor optical amplifiers using artificial neural networks,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Simple model for quantum-dot semiconductor optical amplifiers using artificial neural networks,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.100410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:59ec29540d156b8759b3e73baaead3105838b6acad2149d735ba325703fc61c7

Observation 89568007-95f5-48c2-bb16-81ad028a7d8e · outbound

This paper cites Optimal design of gain-flattened Raman fiber amplifiers using a hybrid approach combining randomized neural net- works and differential evolution algorithm,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Optimal design of gain-flattened Raman fiber amplifiers using a hybrid approach combining randomized neural net- works and differential evolution algorithm,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.181683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:4189eb68828b7f6e5a29147a8222abcee749d5f1012b856be933b57f0b077785

Observation 04e86ed1-5425-4245-b270-625db2e1a6ad · outbound

This paper cites Introducing load aware neural networks for accurate predictions of Raman amplifiers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Introducing load aware neural networks for accurate predictions of Raman amplifiers,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.155209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:0c5fb877676460cd24089f17e584cd78a417ff0b069e820f4a156d2240cff410

Observation 02abf55e-26c9-4379-b0ae-6000f4839ad7 · outbound

This paper cites Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.141872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:bcd1c97b59c89bf11e6df7f90970fcd2337e12fe2e46b34d49488d2c10299093

Observation 1db78048-6243-4793-aa45-40707da0e2f6 · outbound

This paper cites Inverse design of discrete Raman amplifiers using an invertible neural network for ultra-wideband optical transmis- sion based on hollow core fibers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Inverse design of discrete Raman amplifiers using an invertible neural network for ultra-wideband optical transmis- sion based on hollow core fibers,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.214201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:55d40029322b30eaf7f7bab9ccc2b1088d78c758fae96a9fb426c2868fa80892

Observation 08c2a67b-bc42-411c-9405-2dab2684398b · outbound

This paper cites Highly efficient inverse design of semiconductor optical amplifiers based on neural network improved particle swarm optimization algorithm,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Highly efficient inverse design of semiconductor optical amplifiers based on neural network improved particle swarm optimization algorithm,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.056613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:032942ede43b0f4f99830b3ec4038aa12024c9cda6e649028aef0d9906904bbb

Observation 0de989fe-8ec3-4612-8271-0a2237520e68 · outbound

This paper cites Artificial neural networks- driven modeling of semiconductor optical amplifiers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Artificial neural networks- driven modeling of semiconductor optical amplifiers,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.121391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:533ad162ddfe5768c9aa3721fed16c66416b90b4d7e203065da8f1f8be75864c

Observation 9e14b300-d3d6-465f-97df-3acade7d44e1 · outbound

This paper cites Modeling of gain and Q-factor character- istics in semiconductor optical amplifier based on convolutional neural network,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Modeling of gain and Q-factor character- istics in semiconductor optical amplifier based on convolutional neural network,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.142593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:a774740605c65c9f7218db059f7f56a8377c6513f57e40f87bd273ca4daa49af

Observation b05683ad-a0d1-4fd3-a7b6-f207d0e9b675 · outbound

This paper cites Machine learning-based EDFA gain model,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Machine learning-based EDFA gain model,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.183253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:4a950a6e16b4c05258db802c0a68294e99a66652b1c41e1600999481a259f1af

Observation 4cb0f74f-da67-4214-af4c-c198fafb1181 · outbound

This paper cites Design optimisation of power-efficient submarine line through machine learning,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Design optimisation of power-efficient submarine line through machine learning,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.218389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:5636bd9e6eb3d3104e7d90f32f26b4d6b87fdacb71cc11b6e75ec4eb3dcc92dc

Observation 7ccc843d-be08-4cb6-89be-7e21b31be28e · outbound

This paper cites Machine learning-based EDFA gain model generalizable to multiple physical devices,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Machine learning-based EDFA gain model generalizable to multiple physical devices,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.075356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:26044bae8f66445bda96ff81c5d9af011cd1626182d5b03599db6a390c89dc86

Observation 1fb6d295-ebab-469d-8478-2028c1493497 · outbound

This paper cites Hybrid machine learning EDFA model,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Hybrid machine learning EDFA model,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.049097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:3395def23c9d79ce9317a1b2336ccc2cd9d5e90d112a4997f9e7a824a4135921

Observation a275d078-0c54-4b47-aa3d-fb99a3c7a9cb · outbound

This paper cites Power evolution modeling and optimization of fiber optic communication systems with EDFA repeaters,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Power evolution modeling and optimization of fiber optic communication systems with EDFA repeaters,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.098450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:351a96abd13025c429ba5c827e1a9faaa6cb1924ffbad313506e7a9115bb4ec9

Observation c43c3597-9d15-43e8-a3ca-8ef3b67291cf · outbound

This paper cites Machine-learning-based EDFA gain estimation,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Machine-learning-based EDFA gain estimation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.078098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:795b3df2f583a3bdc4d363b26cbc2ba868a3b7c393d56442bad35cc58a8c495a

Observation eca244a3-9beb-473f-8b32-a11d159b10dd · outbound

This paper cites Modeling the second stage of extended L-band fiber amplifiers using neural networks trained on experimental data,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Modeling the second stage of extended L-band fiber amplifiers using neural networks trained on experimental data,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.212761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:4a6b68587c0a014db40362296053cd7a3bbf354ea6fc696f0fe808b221e9d680

Observation 0fa99a3d-38d4-4776-9f17-71822f77de32 · outbound

This paper cites Artificial intelligence or real engineer, which is better?.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Artificial intelligence or real engineer, which is better?

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.187677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:f1122ee66985d60d5f4ff1d49de73d3711148193673c05ccfa24c37858a208ad

Observation 5962138b-995d-4ce1-be25-9a1480c251c3 · outbound

This paper cites Optimization of a hybrid EDFA-Raman C+L band amplifier through neural-network models,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Optimization of a hybrid EDFA-Raman C+L band amplifier through neural-network models,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.220802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:94021b053393452c21c8aed69741c4afe9dd91ed02bf6ee2e05e354c0f5f9c8d

Observation 8540f19e-f320-46da-81cd-79a77eaa8049 · outbound

This paper cites Digital twin of unrepeatered line based on Raman and remote optically pumped amplifier machine learning models,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Digital twin of unrepeatered line based on Raman and remote optically pumped amplifier machine learning models,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.117126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:87b44ea9517f826c95ddd4fdcfc841e15be6a30aa3c9ce7ba920c941fb47af7d

Observation a78ddd96-2174-4925-bbe3-60b95d5a35c6 · outbound

This paper cites Design and evaluation of an intelligent flat-gain O+ E band hybrid optical fiber amplifier: a machine learning approach,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Design and evaluation of an intelligent flat-gain O+ E band hybrid optical fiber amplifier: a machine learning approach,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.163300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:f56d8c88da084ad39691cb960d74d931e1593fc8648a22d70c1c65317b458c8b

Observation 8314ce73-93a3-4609-8b81-7c3686feb581 · outbound

This paper cites Neural network-based control of TDFA,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Neural network-based control of TDFA,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.140744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:34841c5b2b7e141dd403ce2071bd519f56cb8ba679c22431d04c6e8f488719e5

Observation 93f93dfe-02cd-46de-914c-223529cff277 · outbound

This paper cites Gain prediction of dual-pump fiber optic parametric amplifier based on artificial neural network,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Gain prediction of dual-pump fiber optic parametric amplifier based on artificial neural network,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.144559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:13e90b7b06ebbaf1d6a2cf182dc4078a5b400fb22e2e6d03172c44b5fb5a8791

Observation d19201c6-001a-4558-b12e-006ef3adc2fd · outbound

This paper cites Modeling pulse propagation in fiber optical parametric amplifier by a long short- term memory network,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Modeling pulse propagation in fiber optical parametric amplifier by a long short- term memory network,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.209934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:da92c66558ca29e8df6c394561c1610c5b53e2af08cda87e16f29be4df79451d

Observation 3bbd27be-74a3-427d-88a6-7a6335266f52 · outbound

This paper cites Numerical modelling of bismuth-doped fiber amplifiers for wideband optical communications,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Numerical modelling of bismuth-doped fiber amplifiers for wideband optical communications,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.201559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:f6fabf7eb3d478f0fd4bc2606f98c4c65e666b97a9a70568dfa0915550ec4e2f

Observation 65a8ef25-db61-466b-8c9d-8263c38367f1 · outbound

This paper cites Machine learning algorithms for predicting the amplitude of chaotic laser pulses,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Machine learning algorithms for predicting the amplitude of chaotic laser pulses,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.203839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:3274de55941f5b3520e7e7f6b5f26e9c094468758477d061b103ed8ce559552d

Observation 9de46095-2737-4694-becd-f64d4f05c94e · outbound

This paper cites High precision recon- struction of silicon photonics chaos with stacked CNN-LSTM neural networks,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling High precision recon- struction of silicon photonics chaos with stacked CNN-LSTM neural networks,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.198009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:9f0df1d4db66eedb0c704e8313dff83e003056a8fecc14201940562e4510d2ee

Observation d4d65ec0-6067-45fd-a677-e668fefd653e · outbound

This paper cites Modeling of high-dimensional time-delay chaotic system based on Fourier neural operator,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Modeling of high-dimensional time-delay chaotic system based on Fourier neural operator,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.200423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:020df1b5a702777d8e260dfe6aeeddad1b7f52bcf01daa741eef2b6869dece9f

Observation bdb566a2-a158-4362-b35f-81cab1cbe7d2 · outbound

This paper cites WTF-former: A model for predicting optical chaos in laser system,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling WTF-former: A model for predicting optical chaos in laser system,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.202453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:941d324711b48efa1d00538e08664b90d0709bb11fb2e92a31a515cc20e8d59f

Observation a74700c3-760c-4461-8743-a680820e1cc5 · outbound

This paper cites Accurate deep learning based method for real-time directly modulated laser modeling,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Accurate deep learning based method for real-time directly modulated laser modeling,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.172904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:704d1721154abff2c1a383c2f2225650beab48ffc1e121eebcc5c6fc7d1ba872

Observation 88ab3ce1-1aef-4fc4-86e0-89d535396410 · outbound

This paper cites VCSEL-based PAM-4 transmission sys- tem emulator: a data-driven deep-learning perspective,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling VCSEL-based PAM-4 transmission sys- tem emulator: a data-driven deep-learning perspective,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.176847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:5609dff1c0f6853ab1eb78f204ecd8cb8a9ef311d36d029a873a7ff631b4b8bb

Observation 8dc155f9-e53e-46be-b064-1385f6a7b040 · outbound

This paper cites Flexible Raman amplifier optimization based on machine learning- aided physical stimulated Raman scattering model,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Flexible Raman amplifier optimization based on machine learning- aided physical stimulated Raman scattering model,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.185720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:5fbfd10ce1bf3828f577243fd121654bb77634a9821e0576941a081f59a2b02e

Observation 1077d6c1-1953-4017-9ec8-caf39d9603ee · outbound

This paper cites Model- aware deep learning method for Raman amplification in few-mode fibers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Model- aware deep learning method for Raman amplification in few-mode fibers,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.216630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:0436d060b5264f2dc2fd80794e5bfda0f015a026c70c52be0f0636aa2929e2c5

Observation 31d6ec33-9f29-4184-8b30-83dd47a0d8d5 · outbound

This paper cites Building a digital twin of an EDFA for optical networks: a gray-box modeling approach,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Building a digital twin of an EDFA for optical networks: a gray-box modeling approach,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.135427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:1beb45254ef92cda7b5b569be52189ac0d791405ad265e4bf2c2dbc1326c34fa

Observation 08f32e08-4b64-487b-a9f0-282e7c6bcd60 · outbound

This paper cites Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.197027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:74bb060c87524168faeed4a4f02f6e16993278c2c16098cd59d7176e3c45dbec

Observation 88f33480-bdb4-45cc-93f1-76492b866e67 · outbound

This paper cites SRS-Net: a universal framework for solving stimulated Raman scattering in nonlinear fiber-optic systems by physics-informed deep learning,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling SRS-Net: a universal framework for solving stimulated Raman scattering in nonlinear fiber-optic systems by physics-informed deep learning,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.158955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:69f11eb3b886e73f9bf7ab490769f49532d42296b99641faaaa674c171d1bd44

Observation 5d32c5b5-367c-4d49-87e7-31de723ba3cf · outbound

This paper cites Fast and efficient solver for Raman amplifier equations employing neural networks,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Fast and efficient solver for Raman amplifier equations employing neural networks,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.172206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:977bf8a9ce497a8d7629aaaf5769fb9abae55a7783ec6c059c0b7eded0c23b10

Observation 60123e00-766c-4e88-aa84-67f1ea29830b · outbound

This paper cites Physics-informed grey-box model for C+L band Raman amplification incorporating launch power profiles,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Physics-informed grey-box model for C+L band Raman amplification incorporating launch power profiles,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.218903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:c09e7bd502bf88fdc22e16ad8ce4ff8a6a54237be1fae8e88fa4ab7d325e4a74

Observation de8ab991-48b2-415e-a7b8-11c05a9646f9 · outbound

This paper cites Physics- informed machine learning for EDFA: parameter identification and gain estimation,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Physics- informed machine learning for EDFA: parameter identification and gain estimation,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.179127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:f43bf375f5e643dfdc2d42da3f449749ab2750cc4d9965765deb463271ee587d

Observation 237dc9df-18a3-4a29-bf30-c54a15e720b6 · outbound

This paper cites Physics-informed neural network for fiber amplifiers,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Physics-informed neural network for fiber amplifiers,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.212079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:e05ee102c000f6c3f79ace39654a5431b02f2683fbae879bf412e9878d6d2dfc

Observation 55db0ca9-cedf-4a13-b55e-eb6a1e09fde8 · outbound

This paper cites Physics-informed data-driven model for predicting thermal crosstalk in a photonic integrated circuit,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Physics-informed data-driven model for predicting thermal crosstalk in a photonic integrated circuit,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.181229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:6e5c2129ef93b1279b27188c32500f444546151a064c1e95ae7f863fff037108

Observation 505e115e-3a4e-4764-9760-2f4ee90fa000 · outbound

This paper cites Available: https://doi.org/10.1364/opticaopen.30564137.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Available: https://doi.org/10.1364/opticaopen.30564137

Reference 90

Resolution
verified exact
doi, observed 2026-07-09T15:36:18.731062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:4d032962a14657e364b24a95cfdbd464116f378d483d1391d9973d2fc4126cee

Observation 0045a7ac-48c5-4d92-a2c3-a2996d4d57c5 · outbound

This paper cites Addressing data scarcity in optical matrix multiplier modeling using transfer learning,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Addressing data scarcity in optical matrix multiplier modeling using transfer learning,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.160701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:d434a022e2517cf31958d1403099890cf2afada333b0b7d4c37e5dbbfa56c303

Observation 90d26b96-bc0f-40de-ab01-b2aa7f987b5e · outbound

This paper cites SNR optimization of multi-span fiber optic communication systems employ- ing EDFAs with non-flat gain and noise figure,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling SNR optimization of multi-span fiber optic communication systems employ- ing EDFAs with non-flat gain and noise figure,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.222778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:4e3e737595434bd463fe5714c00a5668124b73f74e748db3a0a40ac18e2b6922

Observation 84049603-2bb5-43fa-8bf2-cba05d615946 · outbound

This paper cites End-to- end learning of transmitter and receiver filters in bandwidth limited fiber optic communication systems,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling End-to- end learning of transmitter and receiver filters in bandwidth limited fiber optic communication systems,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.119301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:547b57cce3837ca7df13cdc3bf90cf93202a265b7e3bad8591e3887b7efdbb19

Observation 37372fcd-fc30-48ce-92e1-13b627984487 · outbound

This paper cites Transmission of stationary nonlinear optical pulses in dispersive dielectric fibers. I. Anomalous dispersion,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling Transmission of stationary nonlinear optical pulses in dispersive dielectric fibers. I. Anomalous dispersion,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.156910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:f7e6fa9399459cde74e49224832d281e7acc71391b8d54b619fbe3949aba443d

Observation a69b65c1-58c2-46d7-9666-8f9588914eb7 · outbound

This paper cites The GN-model of fiber non-linear propagation and its applications,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling The GN-model of fiber non-linear propagation and its applications,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.185973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:eeb57a7c6b37725c4d8b26fbec9b19f2d711ac94043a1a757fee0efb49c00c1c

Observation 79871a22-999b-48f9-9326-30f1de3da75e · outbound

This paper cites End-to-end opti- mization of coherent optical communications over the split-step fourier method guided by the nonlinear fourier transform theory,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling End-to-end opti- mization of coherent optical communications over the split-step fourier method guided by the nonlinear fourier transform theory,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.224266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:40b10e0e06a7c557db537f58516c9794649b686572c49ce0381c5d030fe3165c

Observation 915dfb46-874b-42ec-8cfd-dbc35b087d99 · outbound

This paper cites GNPy: an open source application for physical layer aware open optical networks,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling GNPy: an open source application for physical layer aware open optical networks,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.126249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:35372958e7d09a29cacadef91556574f123ace01d3d87c9f740573a89670ce28

Observation dd49facb-18d2-4173-af63-cb8aae77b465 · outbound

This paper cites End-to-end learning for VCSEL-based optical interconnects: State-of- the-art, challenges, and opportunities,.

Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling End-to-end learning for VCSEL-based optical interconnects: State-of- the-art, challenges, and opportunities,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T15:36:19.107133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-09T15:33:16.923367Z digest=sha256:9cc13cfe596ec421fc6d84d3d20bde7460ca54e8ced391914e8490724ccb42a4

Pith citing papers

No inbound Pith citation observations are available.