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Paper Citation Record · LEDGER

Adversarially Guided Diffusion for LiDAR Range Image Synthesis

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.09787.

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

pith.paper-citation-record.v1
2607.09787 v1

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measured 38 of 38 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T15:45:08.348933Z

measured 38 of 38 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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38 of 38 outbound references displayed

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Outbound references

Observation ccd841e0-6051-488c-910f-6eec0af5ce2a · outbound

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

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 1

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Observation 440a544c-fd85-447e-972f-e1d6d813fc08 · outbound

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

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 2

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Observation 79824aec-7982-4aae-a6e3-27ae621ef970 · outbound

This paper cites In: Proceedings of the 2019 ACM SIGSAC conference on computer and communications security.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the 2019 ACM SIGSAC conference on computer and communications security

Reference 3

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Observation bc190c58-53d9-4242-afcf-c29ee3d661fb · outbound

This paper cites In: 2017 ieee symposium on security and privacy (sp).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: 2017 ieee symposium on security and privacy (sp)

Reference 4

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Observation 612db70d-50c5-4854-8478-8fbed75fdef8 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence47(2), 961–977 (2024).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis IEEE Transactions on Pattern Analysis and Machine Intelligence47(2), 961–977 (2024)

Reference 5

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Observation 487c7d85-1ff9-48ca-8b33-719dc61ac938 · outbound

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

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the IEEE/CVF Inter- national Conference on Computer Vision

Reference 6

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This paper cites In: 2022 IEEE international con- ference on multimedia and expo (ICME).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: 2022 IEEE international con- ference on multimedia and expo (ICME)

Reference 7

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Observation a2ccd022-7f27-46a8-86eb-f8214c000998 · outbound

This paper cites In: European Conference on Computer Vision.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: European Conference on Computer Vision

Reference 8

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Observation 6877da09-be57-42fa-95dc-a7ae481b0ca4 · outbound

This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Advances in neural information processing systems34, 8780–8794 (2021)

Reference 9

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Observation 9e2f2dd7-2200-4327-8c37-7a69c5bb23af · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems22(3), 1341–1360 (2020).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis IEEE Transactions on Intelligent Transportation Systems22(3), 1341–1360 (2020)

Reference 10

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Observation 9547fb4c-6e13-4ac6-8795-ba22a95a32b1 · outbound

This paper cites Communications of the ACM63(11), 139–144 (2020).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Communications of the ACM63(11), 139–144 (2020)

Reference 11

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Observation 5cbc38a7-f5b6-43a7-bdb8-7233daff178f · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Explaining and Harnessing Adversarial Examples

Reference 12

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Observation d2199b81-f9cb-49e4-b83b-91cb80df51ac · outbound

This paper cites In: European Conference on Computer Vision.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: European Conference on Computer Vision

Reference 13

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Observation bbe596aa-5c92-499c-802f-b24e8378c3c6 · outbound

This paper cites International journal of multimedia information retrieval 7(2), 87–93 (2018).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis International journal of multimedia information retrieval 7(2), 87–93 (2018)

Reference 14

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Observation 0ffb865e-af59-48ee-898b-069049b06f09 · outbound

This paper cites In: German conference on pattern recognition.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: German conference on pattern recognition

Reference 15

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Observation fb1c752c-fe9b-4176-b2c9-5f11f35e80b8 · outbound

This paper cites Advances in neural information processing systems30(2017).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Advances in neural information processing systems30(2017)

Reference 16

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Observation 18e73e7d-1b4f-49ba-8301-0415fbcd7f8e · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Advances in neural information processing systems33, 6840–6851 (2020)

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Observation 2700bef8-f1cd-4a98-96d8-2f6d00f3164b · outbound

This paper cites Classifier-Free Diffusion Guidance.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Classifier-Free Diffusion Guidance

Reference 18

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Observation fc7f7b2b-6291-4a38-94b4-21bc70b924ed · outbound

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

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

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Observation 48a4920d-27f2-4913-a3f1-402d955b7264 · outbound

This paper cites The Principles of Diffusion Models.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis The Principles of Diffusion Models

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Observation dde2e842-f757-4043-b59f-2f9f17f0cffd · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 21

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Observation 178456fb-9366-4a19-a997-3ade413a37e1 · outbound

This paper cites In: 2019 IEEE/RSJ international conference on in- telligent robots and systems (IROS).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: 2019 IEEE/RSJ international conference on in- telligent robots and systems (IROS)

Reference 22

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Observation 06b81235-e62a-4d0a-aaaf-6311c87ed687 · outbound

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

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

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Observation 70c486cd-ef35-4a6a-b01e-c2b9a4831f71 · outbound

This paper cites Diffusion Models for Adversarial Purification.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Diffusion Models for Adversarial Purification

Reference 24

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Observation 26fa340e-4375-4c05-af88-a4902cfb067b · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2024)

Reference 25

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Observation 3047aec3-b879-4530-8c5d-a3f901bb4830 · outbound

This paper cites AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation

Reference 26

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Observation feafeb01-5958-4621-be9a-e0ba13300682 · outbound

This paper cites Denoising Diffusion Implicit Models.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Denoising Diffusion Implicit Models

Reference 27

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Observation a3fbc646-ddc0-4b8b-8d58-4769b8aca3ec · outbound

This paper cites Advances in neural information processing systems31(2018).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Advances in neural information processing systems31(2018)

Reference 28

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Observation 9c6fe8e5-fa71-4122-bc0d-ccbfca8c993b · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Score-Based Generative Modeling through Stochastic Differential Equations

Reference 29

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Observation 0a968a26-e20f-41dc-9353-d9c125c8b57d · outbound

This paper cites Intriguing properties of neural networks.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Intriguing properties of neural networks

Reference 30

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Observation deafb443-7998-450f-9aa8-11767b798fb3 · outbound

This paper cites Advances in neural information processing systems30(2017).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Advances in neural information processing systems30(2017)

Reference 31

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Observation d39d5637-1634-488a-a31b-e1470c40f3d6 · outbound

This paper cites IEEE Transactions on Consumer Electronics (2026).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis IEEE Transactions on Consumer Electronics (2026)

Reference 32

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Observation 6acdbee2-6043-448e-9730-6b1b110137ae · outbound

This paper cites Generating Adversarial Examples with Adversarial Networks.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Generating Adversarial Examples with Adversarial Networks

Reference 33

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Observation cd78df9b-5677-41ff-9f70-4f530ce76e51 · outbound

This paper cites In: Proceedings of the IEEE in- ternational conference on computer vision.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the IEEE in- ternational conference on computer vision

Reference 34

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Observation aee039af-70e0-4830-afd8-1df6c53e2fb4 · outbound

This paper cites In: European Conference on Computer Vision.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: European Conference on Computer Vision

Reference 35

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Observation 380de30e-c152-41ea-9770-5a79ed37450d · outbound

This paper cites Advances in Neural Information Processing Systems37, 22370–22417 (2024).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis Advances in Neural Information Processing Systems37, 22370–22417 (2024)

Reference 36

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Observation ee5b9c68-e07a-4db0-b70f-89659bc5e9c9 · outbound

This paper cites IEEE access7, 179118–179133 (2019).

Adversarially Guided Diffusion for LiDAR Range Image Synthesis IEEE access7, 179118–179133 (2019)

Reference 37

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Observation 42f34d0e-b678-4f93-b9d6-da867b4d5cb4 · outbound

This paper cites In: Proceedings of the 19th ACM conference on embedded networked sensor systems.

Adversarially Guided Diffusion for LiDAR Range Image Synthesis In: Proceedings of the 19th ACM conference on embedded networked sensor systems

Reference 38

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.