Paper Citation Record · LEDGER

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform

As of 23 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 2 inbound Pith citation observations for arXiv:2501.03429.

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

pith.paper-citation-record.v1
2501.03429 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:57:42.550571Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:53.458107Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:53:16.365531Z

Reference resolution

63 of 63 outbound references displayed

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verified fuzzy61
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec4eec28-7e71-4d53-810d-bae80b477c44 · outbound

This paper cites Fundamental limits in digital in- formation processing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Fundamental limits in digital in- formation processing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.666592Z

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Observation 20fc2afd-80d8-4211-8559-d4512c3215d9 · outbound

This paper cites Towards a generalized theory compris- ing digital, neuromorphic and unconventional com- puting,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Towards a generalized theory compris- ing digital, neuromorphic and unconventional com- puting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.647303Z

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Observation d0d9ceef-f63f-4819-ab72-b7740b83d0d3 · outbound

This paper cites Energy and policy considerations for modern deep learn- ing research,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Energy and policy considerations for modern deep learn- ing research,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.630250Z

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Observation 510ef318-a839-4534-b4f7-68f7fdba5628 · outbound

This paper cites The “echo state.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform The “echo state

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.613959Z

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Observation fa3703dd-3a6e-48d6-a91b-6257bf80e3de · outbound

This paper cites Real- Time Computing Without Stable States: A New Framework for Neural Computation Based on Per- turbations,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Real- Time Computing Without Stable States: A New Framework for Neural Computation Based on Per- turbations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.598286Z

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Observation 899fc5e1-1310-4f47-9d06-987fb461f8b4 · outbound

This paper cites Extreme learning machine: Theory and applications,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Extreme learning machine: Theory and applications,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.581311Z

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Observation e461b835-bca1-4e2b-a18a-9bc0fa35f3e5 · outbound

This paper cites Cristianini and J.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Cristianini and J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.561506Z

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Observation 9cb24bab-30a7-46a4-a0e6-db13a72cb8c0 · outbound

This paper cites Wave physics as an analog recurrent neural network,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Wave physics as an analog recurrent neural network,

Reference 8

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Observation da8d7d09-33cd-40b6-b8a9-d1b37211da64 · outbound

This paper cites To- ward a formal theory for computing machines made out of whatever physics oﬀers,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform To- ward a formal theory for computing machines made out of whatever physics oﬀers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.525759Z

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Observation 04ad7120-b97d-4cf5-84c5-25095fc2e609 · outbound

This paper cites Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Model-free prediction of large spatiotemporally chaotic systems from data: A reservoir computing approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.508500Z

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Observation 9302fd50-010b-4f0f-bb6a-593048317484 · outbound

This paper cites Coupled nonlinear delay systems as deep convolutional neural networks,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Coupled nonlinear delay systems as deep convolutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.491296Z

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Observation 0ded29a7-c1cf-4688-a1a1-2538d4c2bb2b · outbound

This paper cites Analog photonics computing for information processing, inference, and optimization,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Analog photonics computing for information processing, inference, and optimization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.473698Z

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Observation 760165e0-2df0-4011-a1ab-e3b1cd2c233b · outbound

This paper cites Deep physical neural networks trained with backpropaga- tion,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Deep physical neural networks trained with backpropaga- tion,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.457013Z

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Observation 2aea8dce-638c-4576-bead-b5dc3503cad5 · outbound

This paper cites Pho- tonic extreme learning machine by free-space opti- cal propagation,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Pho- tonic extreme learning machine by free-space opti- cal propagation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.439651Z

Source-reported events for the cited work

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Observation 6d59a58d-ca49-4e58-96c6-6f147852ef9c · outbound

This paper cites The- ory of neuromorphic computing by waves: Machine learning by rogue waves, dispersive shocks, and soli- tons,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform The- ory of neuromorphic computing by waves: Machine learning by rogue waves, dispersive shocks, and soli- tons,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.423441Z

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Observation 9c6afe6b-9e44-473d-838f-79700c12e16c · outbound

This paper cites Scalable optical learning operator,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Scalable optical learning operator,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.406526Z

Source-reported events for the cited work

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Observation 8fe20126-70dd-498d-9b16-3a5cfc65a455 · outbound

This paper cites Fiber echo state network analogue for high-bandwidth dual-quadrature signal processing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Fiber echo state network analogue for high-bandwidth dual-quadrature signal processing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.389965Z

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Observation f2b07300-5dfc-4318-b78b-b64c6da478e7 · outbound

This paper cites Programming nonlinear propagation for eﬃcient optical learning machines,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Programming nonlinear propagation for eﬃcient optical learning machines,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.372472Z

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Observation 1f492a37-e58f-4db7-89ba-3da13be0eb66 · outbound

This paper cites Multi-channel optical neuromorphic processor for frequency-multiplexed signals,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Multi-channel optical neuromorphic processor for frequency-multiplexed signals,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.354698Z

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Observation 72e85c77-6788-4e69-b847-f5d082425b53 · outbound

This paper cites Multi-wavelength photonic neuro- morphic computing for intra and inter-channel dis- tortion compensations in wdm optical communica- tion systems,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Multi-wavelength photonic neuro- morphic computing for intra and inter-channel dis- tortion compensations in wdm optical communica- tion systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.338111Z

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Observation 5b94bdf1-e338-4c03-936b-0b48597c943e · outbound

This paper cites Photonic extreme learning machine based on frequency multi- plexing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Photonic extreme learning machine based on frequency multi- plexing,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.321479Z

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Observation 1de65bad-40b2-40b5-8e62-5d1eb7f74c11 · outbound

This paper cites Reservoir computing using laser networks,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Reservoir computing using laser networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.305067Z

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Observation 134268ec-d1f9-48db-a134-ff0f3eb03274 · outbound

This paper cites An array of microresonators as a photonic ex- treme learning machine,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform An array of microresonators as a photonic ex- treme learning machine,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.288610Z

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Observation 896ba1cc-7ea3-4f16-9baf-7e702f65655f · outbound

This paper cites Ex- perimental demonstration of reservoir computing on a silicon photonics chip,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Ex- perimental demonstration of reservoir computing on a silicon photonics chip,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.269474Z

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Observation 163712f1-0000-4477-8a18-22ed8ebbe795 · outbound

This paper cites Parallel reservoir computing using optical ampliﬁers,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Parallel reservoir computing using optical ampliﬁers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.251401Z

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Observation f4cc2e03-b74e-4c90-8396-84679009e25c · outbound

This paper cites A uniﬁed framework for reservoir computing and extreme learning machines based on a single time-delayed neuron,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform A uniﬁed framework for reservoir computing and extreme learning machines based on a single time-delayed neuron,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.234889Z

Source-reported events for the cited work

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Observation 2d1a05b4-0eff-4493-9f76-fc88afc1c678 · outbound

This paper cites Photonic information processing beyond turing: an optoelectronic implementation of reser- voir computing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Photonic information processing beyond turing: an optoelectronic implementation of reser- voir computing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.217044Z

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Observation 4c69e99c-24b0-47ee-b5fc-14cdc992790e · outbound

This paper cites High-speed all-optical pattern recog- nition of dispersive fourier images through a pho- tonic reservoir computing subsystem,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform High-speed all-optical pattern recog- nition of dispersive fourier images through a pho- tonic reservoir computing subsystem,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.199838Z

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Observation 6c98674d-0e7a-46b5-b8e9-a5c40202e8e0 · outbound

This paper cites Photonic reservoir computer based on frequency multiplexing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Photonic reservoir computer based on frequency multiplexing,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.182647Z

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Observation 049728d2-de17-45f5-a4d4-f77b494f247d · outbound

This paper cites Deep photonic reservoir computer based on frequency multiplexing with fully analog con- nection between layers,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Deep photonic reservoir computer based on frequency multiplexing with fully analog con- nection between layers,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.165405Z

Source-reported events for the cited work

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Observation 22db00b5-6208-4f19-a103-a9a44fae67a9 · outbound

This paper cites 11 tops photonic convolutional accelerator for optical neural networks,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform 11 tops photonic convolutional accelerator for optical neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.148692Z

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Observation 8aa997b3-3886-4b11-a260-a060456588aa · outbound

This paper cites Neuromorphic computing based on wavelength- division multiplexing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Neuromorphic computing based on wavelength- division multiplexing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.132696Z

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Observation 55dc7f74-f1f9-4dce-b803-ed3f53aeaac8 · outbound

This paper cites Higher-dimensional processing using a photonic tensor core with continuous-time data,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Higher-dimensional processing using a photonic tensor core with continuous-time data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.115355Z

Source-reported events for the cited work

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Observation 7e13226d-aafa-42ad-a472-d1ec6db9907c · outbound

This paper cites Scalable wavelength-multiplexing pho- tonic reservoir computing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Scalable wavelength-multiplexing pho- tonic reservoir computing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.097995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19dceab5-aa48-4e40-87d9-0d583e36192b · outbound

This paper cites Multi-task photonic reservoir comput- ing: wavelength division multiplexing for parallel computing with a silicon microring resonator,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Multi-task photonic reservoir comput- ing: wavelength division multiplexing for parallel computing with a silicon microring resonator,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.080389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70033e51-c3e1-41b7-b1af-8c7cbad82719 · outbound

This paper cites Wavelength dimen- sion in waveguide-based photonic reservoir comput- ing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Wavelength dimen- sion in waveguide-based photonic reservoir comput- ing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.063622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ba6bbf4-c9ed-459e-9ba3-4f3287d38069 · outbound

This paper cites Wavelength-multiplexed delayed inputs for mem- ory enhancement of microring-based reservoir com- puting,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Wavelength-multiplexed delayed inputs for mem- ory enhancement of microring-based reservoir com- puting,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.046874Z

Source-reported events for the cited work

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Observation ff285c7a-076a-4bcb-bd49-4bd04e892827 · outbound

This paper cites Compact reservoir computing with a photonic integrated cir- cuit,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Compact reservoir computing with a photonic integrated cir- cuit,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.029324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f1523af0-9a5a-41a5-a861-31b3af0c90c5 · outbound

This paper cites Scal- able reservoir computing on coherent linear photonic processor,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Scal- able reservoir computing on coherent linear photonic processor,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:43.012579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b495925-937b-4a7a-9bd7-8217a7a674d5 · outbound

This paper cites Training photonic ex- treme learning machines using feedback alignment,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Training photonic ex- treme learning machines using feedback alignment,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.996080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c459311d-9ed6-48dc-a3c7-5a54b5a292b4 · outbound

This paper cites Modulation format iden- tiﬁcation in ﬁber communications using single dy- namical node-based photonic reservoir computing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Modulation format iden- tiﬁcation in ﬁber communications using single dy- namical node-based photonic reservoir computing,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.978846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4858bc46-211e-4db5-8868-373203bce5dd · outbound

This paper cites Machine learning based on reser- voir computing with time-delayed optoelectronic and photonic systems,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Machine learning based on reser- voir computing with time-delayed optoelectronic and photonic systems,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.960832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2221f66-ed30-4ebc-9690-37650b970c55 · outbound

This paper cites Photonic neuromorphic technologies in optical communications,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Photonic neuromorphic technologies in optical communications,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.943507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be1b66be-51b1-4e48-b94b-be31bd1f7349 · outbound

This paper cites Analog optical computing for artiﬁcial in- telligence,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Analog optical computing for artiﬁcial in- telligence,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.927009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74979fad-da8d-4350-9361-3f32f8016889 · outbound

This paper cites an unresolved cited work.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:57:42.909527Z

Source-reported events for the cited work

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Observation 61e610b1-d27b-4bd1-b196-47fac1ea730b · outbound

This paper cites Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.890699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42ea9d73-26c6-4668-98a2-8b5990ec2469 · outbound

This paper cites Barber, Bayesian Reasoning and Machine Learn- ing.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Barber, Bayesian Reasoning and Machine Learn- ing

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.873851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aec44f39-168e-4e3b-ab7c-56826ac2b82e · outbound

This paper cites His- tory of art paintings through the lens of entropy and complexity,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform His- tory of art paintings through the lens of entropy and complexity,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.856434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 789e004e-29e6-4420-b5fb-a86ce3ac9073 · outbound

This paper cites Permutation entropy: A natural complexity measure for time series,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Permutation entropy: A natural complexity measure for time series,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.838937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ac63a40-4185-49d8-aef7-98554d2c08a4 · outbound

This paper cites The adatron: An adaptive perceptron algorithm,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform The adatron: An adaptive perceptron algorithm,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.821122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ff1eca5-fd59-43d4-845c-ac31fb3aa6fa · outbound

This paper cites Grey wolf optimizer,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Grey wolf optimizer,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:42.489367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43a05d66-6dd2-4cee-bc9d-e11f50235a7d · outbound

This paper cites Nonlinear-optical loop mirror,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Nonlinear-optical loop mirror,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.792560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2f8d617-2b54-4056-a998-d26cca4b59e3 · outbound

This paper cites Nonlinearity management in a dispersion-managed system,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Nonlinearity management in a dispersion-managed system,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.776558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c5cdcb47-f934-44cd-b28f-f6c1f3ea37a3 · outbound

This paper cites Semiconductor optical ampliﬁers: re- cent advances and applications,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Semiconductor optical ampliﬁers: re- cent advances and applications,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.757272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4291c2f9-8734-42f8-afdb-ae751831a5e4 · outbound

This paper cites Self-phase modulation and spectral broadening of optical pulses in semicon- ductor laser ampliﬁers,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Self-phase modulation and spectral broadening of optical pulses in semicon- ductor laser ampliﬁers,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.740280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97d2d7e5-7bad-46a2-a01b-a3468a11cfd3 · outbound

This paper cites Saturation induced by picosecond pulses in semiconductor optical ampli- ﬁers,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Saturation induced by picosecond pulses in semiconductor optical ampli- ﬁers,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.722169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5872e9ea-ba54-44a5-b885-0c8361527ffb · outbound

This paper cites Soa-based reservoir computing using upsampling,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Soa-based reservoir computing using upsampling,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.702783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c9dbd3b7-4cd4-4fd0-a7a4-d39b987a64d9 · outbound

This paper cites A fourth-order runge–kutta in the interac- tion picture method for simulating supercontinuum generation in optical ﬁbers,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform A fourth-order runge–kutta in the interac- tion picture method for simulating supercontinuum generation in optical ﬁbers,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.684817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fe42e85-e59a-4fb3-870a-21532bf64a78 · outbound

This paper cites Time-series forecasting through recurrent topology,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Time-series forecasting through recurrent topology,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.663547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9148c24c-c22a-4597-b5cc-0857b409c5d3 · outbound

This paper cites Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.646674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b34b87b4-3a65-40d3-a358-70335e0202c8 · outbound

This paper cites Data-driven sparse sensor placement for reconstruction: Demonstrating the beneﬁts of ex- ploiting known patterns,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Data-driven sparse sensor placement for reconstruction: Demonstrating the beneﬁts of ex- ploiting known patterns,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.629986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d3d97f8-4c02-4f37-8f0b-44ef2e4c3be6 · outbound

This paper cites Role of delay-times in delay-based photonic reser- voir computing,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Role of delay-times in delay-based photonic reser- voir computing,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.612872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 09dd80af-2faa-4cda-92b8-9516efd7a815 · outbound

This paper cites Optical reservoir computing using multiple light scattering for chaotic systems prediction,.

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform Optical reservoir computing using multiple light scattering for chaotic systems prediction,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:57:42.593877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 916a06ae-5f56-44c2-8c06-5101159a9889 · inbound

Real-time surrogate modeling of nonlinear pulse evolution in multimode fibers cites this paper.

Real-time surrogate modeling of nonlinear pulse evolution in multimode fibers Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:53.458107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81819acf-6e4d-4f27-a224-2cf7c262bc8b · inbound

Trainable dynamical masking for readout-free optical computing cites this paper.

Trainable dynamical masking for readout-free optical computing Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:53:16.424059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.