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Paper Citation Record · LEDGER

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.02718.

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

pith.paper-citation-record.v1
2607.02718 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:32:19.946223Z

measured 52 of 52 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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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52 of 52 outbound references displayed

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Outbound references

Observation 9eaddc6d-28a3-40fb-97dc-691f2bd73b64 · outbound

This paper cites Machine learning model (2024), available from https://huggingface.co/stabilityai/stable-diffusion-3.5-large 10, 11.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Machine learning model (2024), available from https://huggingface.co/stabilityai/stable-diffusion-3.5-large 10, 11

Reference 1

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This paper cites arXiv preprint arXiv:2408.07009 (2024) 1, 4, 10, 11.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models arXiv preprint arXiv:2408.07009 (2024) 1, 4, 10, 11

Reference 2

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Observation 6cae9684-7da6-4cec-8432-7d2333dfc114 · outbound

This paper cites https://cdn.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models https://cdn

Reference 3

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Observation b6aee58d-a3e3-4dd7-96f9-baac4fcec7fa · outbound

This paper cites Springer (2020) 4 16 S.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Springer (2020) 4 16 S

Reference 4

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Observation 71fdebd0-5330-4f92-81ad-b3fe6de77ca0 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 5

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Observation 10411786-b98e-4630-8e78-69eb38a88d8a · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 6

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Observation f33f05e0-6bd1-4ce3-baec-842a498d50d0 · outbound

This paper cites Ad- vances in Neural Information Processing Systems36, 58921–58937 (2023) 4.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Ad- vances in Neural Information Processing Systems36, 58921–58937 (2023) 4

Reference 7

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Observation 3e53d54c-5c35-4719-8bb2-1203788a6922 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

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This paper cites https://github.com/open-mmlab/mmyolo(2022) 2, 10.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models https://github.com/open-mmlab/mmyolo(2022) 2, 10

Reference 9

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Observation 1b04c246-f4d5-494a-817c-93e4007491fd · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 10

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This paper cites IEEE Transactions on Pattern Analysis & Machine Intelligence44(11), 7778–7796 (Nov 2022).https://doi.org/10.1109/TPAMI.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models IEEE Transactions on Pattern Analysis & Machine Intelligence44(11), 7778–7796 (Nov 2022).https://doi.org/10.1109/TPAMI

Reference 11

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 12

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Observation 20caabb4-6532-4ba0-ac3a-876b72d88db0 · outbound

This paper cites arXiv preprint arXiv:2509.25026 (2025) 8.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models arXiv preprint arXiv:2509.25026 (2025) 8

Reference 13

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 14

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Observation 27c5ba70-2b48-4a7a-b798-091b0f131a5b · outbound

This paper cites Proceedings of the International Conference on Learning Representations (2019) 4.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Proceedings of the International Conference on Learning Representations (2019) 4

Reference 15

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Observation acf78c4c-3570-4b99-818f-a8766b4b2192 · outbound

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: European conference on computer vision

Reference 16

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Observation a5608e09-e4b2-452e-9771-10a0c27bbea4 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models GAIA-1: A Generative World Model for Autonomous Driving

Reference 17

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Reference 18

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models ACM Trans

Reference 19

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Observation 495322a7-e87b-4d84-82e2-46d0532779db · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 20

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Observation 92a19ec5-6fb9-434a-892a-84461198a538 · outbound

This paper cites In: British Machine Vision Conference (BMVC) (2018) 4.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: British Machine Vision Conference (BMVC) (2018) 4

Reference 21

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: European conference on computer vision

Reference 22

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: European conference on computer vision

Reference 23

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This paper cites In: The Twelfth International Conferenceon LearningRepresentations(2024),https://openreview.net/forum? id=TOWdQQgMJY6.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: The Twelfth International Conferenceon LearningRepresentations(2024),https://openreview.net/forum? id=TOWdQQgMJY6

Reference 24

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This paper cites International Journal of Com- puter Vision126(9), 902–919 (2018) 4.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models International Journal of Com- puter Vision126(9), 902–919 (2018) 4

Reference 26

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Cosmos World Foundation Model Platform for Physical AI

Reference 27

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T

Reference 32

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Kim, B., Yue, Y., Chaudhuri, S., Fragkiadaki, K., Khan, M., Sun, Y

Reference 33

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models DreamFusion: Text-to-3D using 2D Diffusion

Reference 34

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Drones9(8) (2025).https:// doi.org/10.3390/drones9080549,https://www.mdpi.com/2504-446X/9/8/549 8, 10

Reference 35

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Reference 36

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Advances in neural information processing systems28(2015) 2, 10

Reference 37

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Observation 73385aea-d7d2-4517-a93d-c5a12824482a · outbound

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models why should i trust you?

Reference 38

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Observation 74127e45-bd10-43dd-b58a-d14c7803e9da · outbound

This paper cites In: European conference on computer vision.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: European conference on computer vision

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Observation 3f02a8db-e317-44e9-9ce1-e88c85f6adf0 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

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Observation 18cabfb3-c5a2-4185-a9a8-7e2fe07b1a79 · outbound

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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This paper cites In: Proceedings of the 36th International Conference on Neural Information Processing Systems.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the 36th International Conference on Neural Information Processing Systems

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Observation b1178c94-8d09-4c0c-8b3d-63e58d74182b · outbound

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Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019) 5

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Observation e1c52cb9-5469-40ac-ac4e-335949e94172 · outbound

This paper cites International Journal of Computer Vision128(2), 336–359 (Oct 2019).

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models International Journal of Computer Vision128(2), 336–359 (Oct 2019)

Reference 44

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Observation 611a51d4-5ff4-495c-845d-9bde1ab04ddc · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

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Observation 60dd9eb5-9c5e-4874-b144-5a46b87b3762 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 46

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Observation 1d0c0534-8100-4e20-9759-480834d5d0e7 · outbound

This paper cites In: Human Computation - Papers from the 2012 AAAI Workshop, Technical Re- port.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models In: Human Computation - Papers from the 2012 AAAI Workshop, Technical Re- port

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Observation 459806ea-75e0-4049-87a2-9603b7b6ebac · outbound

This paper cites 2025-06-21 (2024),https://huggingface.co/ vikhyatk/moondream2, hugging Face.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models 2025-06-21 (2024),https://huggingface.co/ vikhyatk/moondream2, hugging Face

Reference 48

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Observation cc59bc45-0cd8-4159-9059-47fcc3af8eb5 · outbound

This paper cites an unresolved cited work.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Unresolved cited work

Reference 49

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Observation 175a7a73-1342-4ad9-bb78-44dcd4534997 · outbound

This paper cites Advances in Neural Information Processing Systems36, 54683–54695 (2023) 4.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models Advances in Neural Information Processing Systems36, 54683–54695 (2023) 4

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Observation 0f6d47d5-a5c4-4b1c-b3ce-f41ee25f7e6f · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 51

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Observation cc8a2eef-de62-43ee-9e26-15b1d3d0aeda · outbound

This paper cites prompt". Optionally include a terse.

Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models prompt". Optionally include a terse

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Pith citing papers

No inbound Pith citation observations are available.