Paper Citation Record · LEDGER

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2608.11271.

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

pith.paper-citation-record.v1
2608.11271 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:03.903829Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

44 of 44 outbound references displayed

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verified fuzzy18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 798bd65f-1784-4ac8-b2ba-7bb9989290dd · outbound

This paper cites Block adaptive quantization,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Block adaptive quantization,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.179971Z

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Observation 5411bc83-4bb0-4abb-9ff3-b773dfeda66e · outbound

This paper cites Flexible Dynamic Block Adaptive Quantization for Sentinel-1 SAR Missions,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Flexible Dynamic Block Adaptive Quantization for Sentinel-1 SAR Missions,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:18:04.937161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ebd612b-eb57-4df2-90d2-17263f76865d · outbound

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

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA End-to-end Optimized Image Compression

Reference 3

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Observation 70fcf32e-f7be-4386-bda9-abecb9cd7fee · outbound

This paper cites Variational image compression with a scale hyperprior,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Variational image compression with a scale hyperprior,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.169234Z

Source-reported events for the cited work

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Observation 487dd27d-a1e9-4ef7-9fad-445fd45cfde8 · outbound

This paper cites Joint compression and despeckling by SAR representation learning,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Joint compression and despeckling by SAR representation learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.157630Z

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Observation 97886d38-324c-4de4-8d25-31ff9f64d01d · outbound

This paper cites Small Spacecraft Technology State of the Art,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Small Spacecraft Technology State of the Art,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.146235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ebc30b1-e1fa-4015-973c-c957c3a59a36 · outbound

This paper cites FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review,

Reference 7

Resolution: verified exact; doi, observed 2026-08-15T14:18:03.960747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00d94ad0-d8a7-4f23-b5d5-c75b7ae33f14 · outbound

This paper cites AMD Vitis™ AI Software,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA AMD Vitis™ AI Software,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.134427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e191166-b6ad-4cab-ada3-42a317b510d3 · outbound

This paper cites Reducing the Dimensionality of Data with Neural Networks,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Reducing the Dimensionality of Data with Neural Networks,

Reference 9

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Source-reported events for the cited work

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Observation 35e7e83d-efe2-4bdf-b84f-0f5319e9f251 · outbound

This paper cites JPEG2000: Image Compression Fundamentals, Standards and Practice,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA JPEG2000: Image Compression Fundamentals, Standards and Practice,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.112051Z

Source-reported events for the cited work

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Observation c84af375-de4d-4c2d-8b28-106ce06e0c14 · outbound

This paper cites Joint Autoregressive and Hierarchical Priors for Learned Image Compression,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Joint Autoregressive and Hierarchical Priors for Learned Image Compression,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.100394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 389f15e0-aa1f-4003-a049-7fd2d38f5eba · outbound

This paper cites Power Consumption of GPUs from a Software Perspective,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Power Consumption of GPUs from a Software Perspective,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.088414Z

Source-reported events for the cited work

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Observation eb85e596-0f0b-4bc3-b0d5-ae33bea82708 · outbound

This paper cites The Final Frontier: Deep Learning in Space,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA The Final Frontier: Deep Learning in Space,

Reference 13

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Source-reported events for the cited work

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Observation a4859f91-fd0d-44b2-aa19-cb3046eb660c · outbound

This paper cites NVIDIA Jetson Nano Module,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA NVIDIA Jetson Nano Module,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.076591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83fd4505-86ea-4acc-bf64-f32b1773c5e3 · outbound

This paper cites Machine Learning in Space: Surveying the Robustness of On-Board ML Models to Radiation,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Machine Learning in Space: Surveying the Robustness of On-Board ML Models to Radiation,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:18:04.793150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e010cb16-3a09-46fd-9579-6a78f27b164a · outbound

This paper cites Intel® Movidius™ Myriad™ 2 Vision Processing Unit 1GB - Product Specifications,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Intel® Movidius™ Myriad™ 2 Vision Processing Unit 1GB - Product Specifications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.064614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f3fb28ec-d6d6-43cf-925c-ed2a9cdd0bee · outbound

This paper cites An FPGA-based hardware accelerator for cnns inference on board satellites: Benchmarking with myriad 2-based solution for the CloudScout case study,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA An FPGA-based hardware accelerator for cnns inference on board satellites: Benchmarking with myriad 2-based solution for the CloudScout case study,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.053008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f61bacb-f40c-42f4-b49b-e2a372a92f58 · outbound

This paper cites FPGA vs. ASIC for low power applications,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA FPGA vs. ASIC for low power applications,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:05.040174Z

Source-reported events for the cited work

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Observation 365d3d6b-5c36-45c1-a3c4-53c1748cca5c · outbound

This paper cites Mitigation of Radiation Effects in SRAM-Based FPGAs for Space Applications,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Mitigation of Radiation Effects in SRAM-Based FPGAs for Space Applications,

Reference 19

Resolution: verified exact; doi, observed 2026-08-15T14:18:03.937621Z

Source-reported events for the cited work

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Observation 66108d1f-9c31-44cb-8d2e-9e43a9a53599 · outbound

This paper cites Onboard Processing With Hybrid and Reconfigurable Computing on Small Satellites,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Onboard Processing With Hybrid and Reconfigurable Computing on Small Satellites,

Reference 20

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Observation 6ecc8786-13f9-45a6-8da6-aa0d90925393 · outbound

This paper cites FINN: A Framework for Fast, Scalable Binarized Neural Network Inference,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA FINN: A Framework for Fast, Scalable Binarized Neural Network Inference,

Reference 21

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Observation 41cb4a92-a07c-4de3-872a-7697901d1324 · outbound

This paper cites On the use of JPEG2000 for SAR raw data compression,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA On the use of JPEG2000 for SAR raw data compression,

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:18:04.600594Z

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Observation 96689e75-5918-4ae4-9e31-680ae5708a47 · outbound

This paper cites AI-BAQ: Deep Learning for Adaptive SAR Raw Data Quantization,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA AI-BAQ: Deep Learning for Adaptive SAR Raw Data Quantization,

Reference 23

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:18:04.540497Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bfe1a10b-630f-407d-9628-3764294391aa · outbound

This paper cites Complex-Valued Autoencoder for Multi-Polarization SLC SAR Data Compression with Side Information,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Complex-Valued Autoencoder for Multi-Polarization SLC SAR Data Compression with Side Information,

Reference 24

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Observation 5b8d1268-371b-467a-9949-411787686ae1 · outbound

This paper cites Optimizing Image Compression via Joint Learning with Denoising,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Optimizing Image Compression via Joint Learning with Denoising,

Reference 25

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Source-reported events for the cited work

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Observation 2d23280f-126b-44da-b16a-3c5842b5c7a1 · outbound

This paper cites As if by magic: self-supervised training of deep despeckling networks with MERLIN.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA As if by magic: self-supervised training of deep despeckling networks with MERLIN

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 76fb97c3-7f8d-454b-83dd-2e99365a3599 · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Noise2Noise: Learning Image Restoration without Clean Data

Reference 27

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Observation 6ff28fc9-4c20-433a-9844-27a6c587c9cd · outbound

This paper cites FPGA Codec System of Learned Image Compression With Algorithm-Architecture Co-Optimization,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA FPGA Codec System of Learned Image Compression With Algorithm-Architecture Co-Optimization,

Reference 28

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d928af1-7171-450c-b4c2-ed1e7e8a31fd · outbound

This paper cites Exploring Efficient Hardware Accelerator for Learning-Based Image Compression,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Exploring Efficient Hardware Accelerator for Learning-Based Image Compression,

Reference 29

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Observation 012421e4-adca-4d93-a71b-b6bd64efe7a3 · outbound

This paper cites Design and implementation of CNN- based Custom Net Architecture with improved inference time for Real- time Remote Sensing Application,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Design and implementation of CNN- based Custom Net Architecture with improved inference time for Real- time Remote Sensing Application,

Reference 30

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Observation 7c8d6d12-57b8-4fd1-b706-9fd21c0da4f2 · outbound

This paper cites A methodology for evaluating and analyzing FPGA-accelerated, deep-learning applications for onboard space pro- cessing,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA A methodology for evaluating and analyzing FPGA-accelerated, deep-learning applications for onboard space pro- cessing,

Reference 31

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Observation bdacd11b-d94e-4381-8131-bdb84fea7bea · outbound

This paper cites An Improved Lightweight Deep Learning Model and Implementation for Track Fastener Defect Detection with Unmanned Aerial Vehicles,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA An Improved Lightweight Deep Learning Model and Implementation for Track Fastener Defect Detection with Unmanned Aerial Vehicles,

Reference 32

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Observation 80deaaa7-0fdd-401f-a6d3-2cac6d5a4cd2 · outbound

This paper cites An Edge and Trustworthy AI UA V System With Self-Adaptivity and Hyperspectral Imaging for Air Quality Monitoring,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA An Edge and Trustworthy AI UA V System With Self-Adaptivity and Hyperspectral Imaging for Air Quality Monitoring,

Reference 33

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Observation 07cc4f1b-09d5-451b-8958-237ae422bfaf · outbound

This paper cites FPX-NIC: An FPGA-Accelerated 4K Ultra-High-Definition Neural Video Coding System,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA FPX-NIC: An FPGA-Accelerated 4K Ultra-High-Definition Neural Video Coding System,

Reference 34

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:18:04.304375Z

Source-reported events for the cited work

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Observation 2f7e6698-3ace-4985-af34-be14cdb1270f · outbound

This paper cites Learned Image Codec on FPGA: Algorithm, Architecture and System Design,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Learned Image Codec on FPGA: Algorithm, Architecture and System Design,

Reference 35

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Observation 169e8a1b-89f3-492a-972b-5a70d68a7681 · outbound

This paper cites Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9833613a-540a-4333-954e-8c3b32c843af · outbound

This paper cites Density Modeling of Images using a Generalized Normalization Transformation.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Density Modeling of Images using a Generalized Normalization Transformation

Reference 37

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Observation 4128bb75-150e-4b49-b72f-4393437d23c8 · outbound

This paper cites U-Net: Convolutional Net- works for Biomedical Image Segmentation,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA U-Net: Convolutional Net- works for Biomedical Image Segmentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:18:04.949710Z

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Observation 7080d483-e6f0-43e5-ae5f-c997f41cd394 · outbound

This paper cites CompressAI: a PyTorch library and evaluation platform for end-to-end compression research.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 39

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Source-reported events for the cited work

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Observation 51ff0b08-1121-4cfb-904a-a080e840c1b8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Adam: A Method for Stochastic Optimization

Reference 40

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Source-reported events for the cited work

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Observation 5fb184e1-8274-4417-856e-f359a9d479cb · outbound

This paper cites A Survey of Quantization Methods for Efficient Neural Network Inference.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA A Survey of Quantization Methods for Efficient Neural Network Inference

Reference 41

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Source-reported events for the cited work

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Observation f01f567d-2ad1-4603-851f-a5577ab18712 · outbound

This paper cites Real Time Floating Point SAR Focusing on FPGA,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Real Time Floating Point SAR Focusing on FPGA,

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:18:04.098805Z

Source-reported events for the cited work

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Observation 982028e2-b983-4ffe-92cd-1d05f9bc87f3 · outbound

This paper cites SoC FPGA Acceleration for Semantic Segmentation of Clouds in Satellite Images,.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA SoC FPGA Acceleration for Semantic Segmentation of Clouds in Satellite Images,

Reference 43

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:18:04.034404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d725d2ed-f3d0-49bf-b93d-d56d8fd77e10 · outbound

This paper cites Available: https://doi.org/10.1117/1.1469618.

Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA Available: https://doi.org/10.1117/1.1469618

Reference 2002

Resolution: verified exact; doi, observed 2026-08-15T14:18:03.949730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.