Paper Citation Record · LEDGER

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation

As of 14 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.28470.

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

pith.paper-citation-record.v1
2607.28470 v1

Coverage vector

measured 54 of 54 reference resolution

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Outbound references

Observation d6f84c0e-b9e9-4078-b4d2-cec7417d8c91 · outbound

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Unresolved cited work

Reference 1

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This paper cites Strohmeier, M.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Strohmeier, M

Reference 2

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Unresolved cited work

Reference 3

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This paper cites Poghosyan, A.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Poghosyan, A

Reference 4

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This paper cites Furano, G.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Furano, G

Reference 5

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This paper cites Tchikladze, HRPlanesV2 computer vision model, https://universe.roboflow.com/alban-tchikladze-kxzqe/ hrplanesv2-7alnq, 2023.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Tchikladze, HRPlanesV2 computer vision model, https://universe.roboflow.com/alban-tchikladze-kxzqe/ hrplanesv2-7alnq, 2023

Reference 6

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Unresolved cited work

Reference 7

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Observation 417b4e88-5934-41f9-a41d-8ba5db812508 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

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This paper cites Último acceso: 26 de mayo de 2026.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Último acceso: 26 de mayo de 2026

Reference 9

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This paper cites Cass, Taking ai to the edge: Google’s tpu now comes in a maker- friendly package, IEEE Spectrum 56 (2019) 16–17.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Cass, Taking ai to the edge: Google’s tpu now comes in a maker- friendly package, IEEE Spectrum 56 (2019) 16–17

Reference 10

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This paper cites Prokscha, M.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Prokscha, M

Reference 11

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Unresolved cited work

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Mystkowska, M

Reference 13

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Unresolved cited work

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Unresolved cited work

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Generative Adversarial Networks

Reference 16

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Shorten, T

Reference 17

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This paper cites Beery, G.

Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Beery, G

Reference 18

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Rombach, A

Reference 19

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Unresolved cited work

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Dalal, B

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Cortes, V

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 23

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Redmon, S

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation İlmak, T

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Zhang, T

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Puig-Suari, C

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Costantine, Y

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation URL:https://www.nvidia

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Rapuano, G

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Kuwahara, Introduction to cubesat command and data handling sys- tem, 2021

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Towards Autonomous Aircraft Surveillance from Nanosatellites through On-Board Inference and Generative Data Augmentation Buslaev, V

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