Paper Citation Record · LEDGER

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.22374.

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

pith.paper-citation-record.v1
2507.22374 v1

Coverage vector

measured 33 of 33 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation c5946cbb-241b-49d1-83c5-7d5715eaf6da · outbound

This paper cites Multiscale gigapixel photography,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Multiscale gigapixel photography,

Reference 1

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This paper cites Parallel cameras,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Parallel cameras,

Reference 2

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Observation 3715cf18-65df-4dfc-8d45-6988b4fc251b · outbound

This paper cites Mapping global floods with 10 years of satellite radar data,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Mapping global floods with 10 years of satellite radar data,

Reference 3

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This paper cites Astronomical image denoising by self-supervised deep learning and restoration processes,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Astronomical image denoising by self-supervised deep learning and restoration processes,

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This paper cites Pathology-oriented multiplexing enables integrative disease mapping,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Pathology-oriented multiplexing enables integrative disease mapping,

Reference 5

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Observation d8f0b4f0-f366-4937-8b1f-17e56f3e2418 · outbound

This paper cites Neutralizing the impact of atmospheric turbulence on complex scene imaging via deep learning,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Neutralizing the impact of atmospheric turbulence on complex scene imaging via deep learning,

Reference 6

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Observation 703bf255-cbf2-4326-aa0d-64ee291c9a6d · outbound

This paper cites Towards real-time photorealistic 3D holography with deep neural networks,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Towards real-time photorealistic 3D holography with deep neural networks,

Reference 7

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This paper cites Interpretable socioeconomic status inference from aerial imagery through urban patterns,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Interpretable socioeconomic status inference from aerial imagery through urban patterns,

Reference 8

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Observation 9ab46541-efa1-4ba1-8e29-d44ccdfb5a56 · outbound

This paper cites Image compression based on compressive sensing: End-to-end comparison with JPEG,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Image compression based on compressive sensing: End-to-end comparison with JPEG,

Reference 9

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Observation 6bef52f8-0e2f-4653-98cc-6dda8d9364dd · outbound

This paper cites Image data compression: A review,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Image data compression: A review,

Reference 10

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Observation 191694b5-7f2a-4db5-a5f8-0f6e0becf8e0 · outbound

This paper cites Memristor-based storage system with convolutional autoencoder-based image compression network,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Memristor-based storage system with convolutional autoencoder-based image compression network,

Reference 11

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Observation 47d61469-9132-44cb-a316-6930a6cdc794 · outbound

This paper cites The JPEG 2000 still image compression standard,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor The JPEG 2000 still image compression standard,

Reference 12

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This paper cites A tutorial on modern lossy wavelet image compression: foundations of JPEG 2000,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor A tutorial on modern lossy wavelet image compression: foundations of JPEG 2000,

Reference 13

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Observation 680095b6-91e4-48f0-b9c0-cf3eee84d562 · outbound

This paper cites Learning content-weighted deep image compression,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Learning content-weighted deep image compression,

Reference 14

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Observation c65e11ca-489d-447e-b6fd-7a3034997823 · outbound

This paper cites End-to-end Optimized Image Compression.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor End-to-end Optimized Image Compression

Reference 15

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This paper cites An on-chip photonic deep neural network for image classification,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor An on-chip photonic deep neural network for image classification,

Reference 16

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This paper cites Deep learning with coherent nanophotonic circuits,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Deep learning with coherent nanophotonic circuits,

Reference 17

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End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Universal photonic artificial intelligence acceleration,

Reference 18

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This paper cites Integrated photonic metasystem for image classifications at telecommunication wavelength,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Integrated photonic metasystem for image classifications at telecommunication wavelength,

Reference 19

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Observation 0d013a9b-5e5e-40e9-aede-b8c06017565d · outbound

This paper cites Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit,

Reference 20

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This paper cites Parallel convolutional processing using an integrated photonic tensor core,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Parallel convolutional processing using an integrated photonic tensor core,

Reference 21

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This paper cites Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence,

Reference 22

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This paper cites All-optical spiking neurosynaptic networks with self-learning capabilities,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor All-optical spiking neurosynaptic networks with self-learning capabilities,

Reference 23

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End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor All-optical machine learning using diffractive deep neural networks,

Reference 24

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This paper cites Image sensing with multilayer nonlinear optical neural networks,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Image sensing with multilayer nonlinear optical neural networks,

Reference 25

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End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Photonic machine learning with on-chip diffractive optics,

Reference 26

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End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor 11 TOPS photonic convolutional accelerator for optical neural networks,

Reference 27

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End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Integrated photonic encoder for low power and high-speed image processing,

Reference 28

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Observation bf57b673-589f-442d-b2ad-89b0df5b2bbc · outbound

This paper cites Reconnet: Non-iterative reconstruction of images from compressively sensed measurements,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Reconnet: Non-iterative reconstruction of images from compressively sensed measurements,

Reference 29

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Observation d4832f7c-1da3-4c50-bdf1-7c97d735fdd4 · outbound

This paper cites Dr2-net: Deep residual reconstruction network for image compressive sensing,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Dr2-net: Deep residual reconstruction network for image compressive sensing,

Reference 30

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Observation d67d33af-f264-4203-b57b-3996ef908eb0 · outbound

This paper cites Lossy Image Compression with Compressive Autoencoders.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Lossy Image Compression with Compressive Autoencoders

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End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Autoencoders,

Reference 32

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Observation 1efed26b-c712-4e04-92a2-10961ec9f569 · outbound

This paper cites Design of optical neural networks with component imprecisions,.

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor Design of optical neural networks with component imprecisions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:50:26.460954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.