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Paper Citation Record · LEDGER

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects

As of 12 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2501.13009.

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

pith.paper-citation-record.v1
2501.13009 v1

Coverage vector

measured 45 of 45 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-10T16:36:12.052625Z

measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation c671a06b-9b92-4681-802c-9e68b323a277 · outbound

This paper cites ESA’S ANNUAL SPACE ENVIRONMENT REPORT.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects ESA’S ANNUAL SPACE ENVIRONMENT REPORT

Reference 1

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Observation 2f0deba8-6c4e-4593-8dcc-40be9a2dfcbc · outbound

This paper cites Deep learning-based galaxy im- age deconvolution.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Deep learning-based galaxy im- age deconvolution

Reference 2

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Observation 8539bfa6-8a3b-4042-84ca-83dd4dd69c86 · outbound

This paper cites Empirical Models for the WFC3/IR PSF.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Empirical Models for the WFC3/IR PSF

Reference 3

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Observation 2dfc9929-2cfc-4c09-bea6-dd937e52baad · outbound

This paper cites Toward High- Precision Astrometry with WFPC2. I. Deriving an Accurate Point-Spread Function.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Toward High- Precision Astrometry with WFPC2. I. Deriving an Accurate Point-Spread Function

Reference 4

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Observation bf5be507-00b5-4fd9-b4a2-15165460d6f1 · outbound

This paper cites International Space Station 3D Model.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects International Space Station 3D Model

Reference 5

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Observation 36ac75a3-de2a-455e-b0b8-d807ba071a7f · outbound

This paper cites Generalized PSF modeling for optimized quantitation in PET imaging.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Generalized PSF modeling for optimized quantitation in PET imaging

Reference 6

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Observation c7eef05a-73ef-408d-a0fd-9eca92c4d2dd · outbound

This paper cites Real-Time, Flight-Ready, Non- Cooperative Spacecraft Pose Estimation Using Monocular Imagery.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Real-Time, Flight-Ready, Non- Cooperative Spacecraft Pose Estimation Using Monocular Imagery

Reference 7

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Observation 0d57e4a2-fed9-4dc9-94d9-edb1f60d4bfb · outbound

This paper cites Spatial resolu- tion in optical transition radiation beam diagnostics.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Spatial resolu- tion in optical transition radiation beam diagnostics

Reference 8

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Observation 362831b5-a361-4b69-ba21-8931ee2743c4 · outbound

This paper cites Learning to See in the Dark.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Learning to See in the Dark

Reference 9

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Observation f4616c9c-90d9-4d0b-856f-efc8470aee41 · outbound

This paper cites Simulation of RSO Images for Space Situation Awareness (SSA) Using Parallel Pro- cessing.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Simulation of RSO Images for Space Situation Awareness (SSA) Using Parallel Pro- cessing

Reference 10

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Observation 76ea8d67-00d9-45b5-a789-237c41dd9818 · outbound

This paper cites Blender - a 3D modelling and rendering package.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Blender - a 3D modelling and rendering package

Reference 11

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Observation 45ed3f28-e2ef-44f2-b624-1b7292293ec6 · outbound

This paper cites Wavelet Transforms and Their Applications.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Wavelet Transforms and Their Applications

Reference 12

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Observation 9b531ce1-1321-421e-8f52-ac6a84d173dc · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects ImageNet: A large-scale hierarchical image database

Reference 13

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Observation 59732a02-314c-45e0-be8a-1e4fbfaff403 · outbound

This paper cites Generative Adversarial Networks.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Generative Adversarial Networks

Reference 14

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Observation b34c6e3b-afe9-4edc-b670-ac36490286df · outbound

This paper cites Deep Residual Learning for Image Recognition.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Deep Residual Learning for Image Recognition

Reference 15

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Observation abb0be92-c8ec-4f0d-93ed-6154d7f56cc2 · outbound

This paper cites Solar Irradiance Capturing in Cloudy Sky Days–A Convolutional Neural Network Based Image Regression Approach.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Solar Irradiance Capturing in Cloudy Sky Days–A Convolutional Neural Network Based Image Regression Approach

Reference 16

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Observation 2118e9f9-fe2c-4db2-8caa-8865580a91ea · outbound

This paper cites Point-Spread Function of the Optics in Scanning Electron Microscopes.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Point-Spread Function of the Optics in Scanning Electron Microscopes

Reference 17

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Observation d4e551bf-c900-4087-ac2f-947eb9c6aaba · outbound

This paper cites Satellite Pose Estimation Chal- lenge: Dataset, Competition Design, and Results.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Satellite Pose Estimation Chal- lenge: Dataset, Competition Design, and Results

Reference 18

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Observation 8e7876a8-58ec-4261-bbc1-b2f3d0994e70 · outbound

This paper cites 20 years of Hubble Space Telescope optical modeling us- ing Tiny Tim.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects 20 years of Hubble Space Telescope optical modeling us- ing Tiny Tim

Reference 19

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Observation 172e1255-208d-49e2-a851-ea38088536a1 · outbound

This paper cites Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Reference 20

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Observation 789d9426-d5dd-4dce-add5-9514f0578148 · outbound

This paper cites Tikhonov type regularization methods: History and recent progress.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Tikhonov type regularization methods: History and recent progress

Reference 21

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Observation 302dd5a1-1aed-4e78-a95d-25669dc68749 · outbound

This paper cites An Analysis of SVD for Deep Rotation Estimation.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects An Analysis of SVD for Deep Rotation Estimation

Reference 22

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Observation 753560d8-17ed-433d-a8cb-bd24bb7207aa · outbound

This paper cites SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Do- main Gap.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Do- main Gap

Reference 23

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Observation 506c5701-d723-468c-9cf2-53005ef742be · outbound

This paper cites TRIPs-Py: Techniques for Regularization of Inverse Problems in Python.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects TRIPs-Py: Techniques for Regularization of Inverse Problems in Python

Reference 24

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Observation c5e69521-e141-47a8-ab49-dc5b173c0d92 · outbound

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

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 25

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Observation 8175ca4d-5051-4d23-a4a8-f0ec99b29b6a · outbound

This paper cites Lunar surface image restoration using U-net based deep neural networks.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Lunar surface image restoration using U-net based deep neural networks

Reference 26

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Observation 6838b251-13b3-48de-b913-a57938871bc6 · outbound

This paper cites Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions

Reference 27

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Observation bbbab720-cff8-439b-97f1-0f2ec65b8d29 · outbound

This paper cites Transfer Learning and its appli- cation in Computer Vision: A Review.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Transfer Learning and its appli- cation in Computer Vision: A Review

Reference 28

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Observation 49c0b87d-ae3b-4243-b211-4adf1c381018 · outbound

This paper cites Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks

Reference 29

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Observation 6f66ee97-7886-4219-ba5a-23ca8431bcdf · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 30

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This paper cites The quiet revolution in machine vision - a state-of-the-art survey paper, including historical re- view, perspectives, and future directions.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects The quiet revolution in machine vision - a state-of-the-art survey paper, including historical re- view, perspectives, and future directions

Reference 31

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Observation 0494037d-e555-44e9-8eba-2f05b2436500 · outbound

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Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Unresolved cited work

Reference 32

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Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Unresolved cited work

Reference 33

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Observation e54af341-3387-4eb0-9770-d09fee7b79fc · outbound

This paper cites ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Reference 34

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Observation c4dbdf12-63fa-4949-883b-bc3e61c5bd4a · outbound

This paper cites Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Reference 35

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Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Image quality assessment: from error visibility to structural similarity

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Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Theoretical and Numerical Study of Tikhonov’s Regularization and Morozov’s Discrepancy Principle

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Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Pixel-wise regression using U-Net and its application on pansharpening

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This paper cites Direct estimation of fetal head cir- cumference from ultrasound images based on regres- sion CNN.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects Direct estimation of fetal head cir- cumference from ultrasound images based on regres- sion CNN

Reference 39

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This paper cites A CNN-based regression framework for estimating coal ash content on mi- croscopic images.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects A CNN-based regression framework for estimating coal ash content on mi- croscopic images

Reference 40

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This paper cites A Comprehensive Survey on Transfer Learning.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects A Comprehensive Survey on Transfer Learning

Reference 41

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Reference 255

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Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 2020

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Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects 2021.103472

Reference 3615

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This paper cites url: http: //dx.doi.org/10.1109/TAES.2020.2989063.

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects url: http: //dx.doi.org/10.1109/TAES.2020.2989063

Reference 9877

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