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Paper Citation Record · LEDGER

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.20985.

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

pith.paper-citation-record.v1
2505.20985 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:07.054967Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7ea2f32-7db1-49ee-a676-95665ec463bb · outbound

This paper cites What is GDPR, the EU’s new data protection law? - GDPR.eu — gdpr.eu,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos What is GDPR, the EU’s new data protection law? - GDPR.eu — gdpr.eu,

Reference 1

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Observation c42f51bb-e192-4166-aab6-cb4f01a16b6a · outbound

This paper cites Face deidentification with generative deep neural networks,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Face deidentification with generative deep neural networks,

Reference 2

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Observation 58d64783-6ba8-47a4-be2e-8aed4e52f514 · outbound

This paper cites Anonymousnet: Natural face de-identification with measurable privacy,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Anonymousnet: Natural face de-identification with measurable privacy,

Reference 3

Resolution
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Observation 2dadf1bb-913a-46b4-a36c-55280399eec7 · outbound

This paper cites Deepprivacy: A generative adversarial network for face anonymization,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Deepprivacy: A generative adversarial network for face anonymization,

Reference 4

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Observation 1b31d404-c77c-48bf-bd00-1ad3e6899f55 · outbound

This paper cites Ciagan: Conditional identity anonymization generative adversarial networks,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Ciagan: Conditional identity anonymization generative adversarial networks,

Reference 5

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Observation 5423a3f7-591a-4aaf-987c-e4f2275133fa · outbound

This paper cites G2face: High-fidelity reversible face anonymization via generative and geometric priors,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos G2face: High-fidelity reversible face anonymization via generative and geometric priors,

Reference 6

Resolution
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Observation 6ef2de43-f9b9-47fb-b11a-fe83b1c56360 · outbound

This paper cites Latent Diffusion Models for Attribute-Preserving Image Anonymization.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Latent Diffusion Models for Attribute-Preserving Image Anonymization

Reference 7

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Observation 74740d33-2bff-4110-a78e-1c2cf8d8bef2 · outbound

This paper cites Face deidentification with controllable privacy protection,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Face deidentification with controllable privacy protection,

Reference 8

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Source-reported events for the cited work

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Observation e14cfd09-82a5-412c-b5a8-e4b4560f7e64 · outbound

This paper cites Generative adversarial nets,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Generative adversarial nets,

Reference 9

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Source-reported events for the cited work

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Observation 4714dddc-897e-47e8-b4f3-aa4005f32865 · outbound

This paper cites Deepprivacy2: Towards realistic full- body anonymization,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Deepprivacy2: Towards realistic full- body anonymization,

Reference 10

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Source-reported events for the cited work

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Observation 1f90851e-b002-4cc4-8da0-c1cfa40ce0b7 · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos U-net: Convolutional net- works for biomedical image segmentation,

Reference 11

Resolution
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Observation 77cc09dc-ccf3-417d-8683-de9af5642c29 · outbound

This paper cites Analyzing and improving the image quality of stylegan,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Analyzing and improving the image quality of stylegan,

Reference 12

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Observation c03d715e-8cae-4ed8-a9b7-b6ab87a0ee57 · outbound

This paper cites Cfa- net: Controllable face anonymization network with iden- tity representation manipulation,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Cfa- net: Controllable face anonymization network with iden- tity representation manipulation,

Reference 13

Resolution
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Observation f30f480f-dafc-4d2e-864f-b298c64ee7b4 · outbound

This paper cites Ganonymization: A gan-based face anonymization framework for preserving emotional expressions,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Ganonymization: A gan-based face anonymization framework for preserving emotional expressions,

Reference 14

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Source-reported events for the cited work

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Observation 8b7fc5e2-8996-4674-93cd-07f37cdb8b79 · outbound

This paper cites Ldfa: Latent diffusion face anonymization for self-driving applications,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Ldfa: Latent diffusion face anonymization for self-driving applications,

Reference 15

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Source-reported events for the cited work

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Observation 7290fd8d-1409-41ea-b24a-0a6136c88353 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos High-resolution image synthesis with latent diffusion models,

Reference 16

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Observation 1f13a674-7f85-4986-a1d5-7a19ba390700 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Adding conditional control to text-to-image diffusion models,

Reference 17

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Observation e9b87060-6b24-4469-90f1-ee18f98ebd4f · outbound

This paper cites Facial attribute based text guided face anonymization,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Facial attribute based text guided face anonymization,

Reference 18

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Observation 8b6c719e-6d1c-464a-9765-51633a842d51 · outbound

This paper cites Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Brushnet: A plug-and-play image inpainting model with decomposed dual-branch diffusion,

Reference 19

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Observation 965b0300-6daa-4783-9915-81845e4e4640 · outbound

This paper cites Face anonymization made simple,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Face anonymization made simple,

Reference 20

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Observation e0355ad7-daec-4917-b264-4c3180bb0e72 · outbound

This paper cites Simswap: An efficient framework for high fidelity face swapping,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Simswap: An efficient framework for high fidelity face swapping,

Reference 21

Resolution
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Observation 9b94e92d-1785-4ef6-833c-771aec190f78 · outbound

This paper cites Realistic and efficient face swapping: A unified approach with diffusion models,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Realistic and efficient face swapping: A unified approach with diffusion models,

Reference 22

Resolution
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Observation 59de9436-64cf-4bd4-ac4a-5323709564c2 · outbound

This paper cites Denoising diffusion implicit models,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Denoising diffusion implicit models,

Reference 23

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Observation 442ec702-cb22-49c3-ae6b-ce317309b752 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Learning transferable visual models from natural language supervi- sion,

Reference 24

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Observation a61eff0a-4b59-4099-8d0e-48164224660f · outbound

This paper cites Facedancer: Pose- and occlusion-aware high fidelity face swapping,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Facedancer: Pose- and occlusion-aware high fidelity face swapping,

Reference 25

Resolution
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Source-reported events for the cited work

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Observation a86f7b15-a3cc-42a9-b8aa-f9240cf2389d · outbound

This paper cites E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion

Reference 26

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Observation 382cc1cb-2d88-45c7-bc69-76612cecef9d · outbound

This paper cites Simswap++: Towards faster and high-quality identity swapping,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Simswap++: Towards faster and high-quality identity swapping,

Reference 27

Resolution
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Observation c9b0b25e-3132-42e5-89b2-5f804c3ce674 · outbound

This paper cites FaceForensics++: Learning to detect manipulated facial images,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos FaceForensics++: Learning to detect manipulated facial images,

Reference 28

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Observation 956783e2-93aa-4e73-b5c0-509fa5873a9e · outbound

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Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Sample and Computation Redistribution for Efficient Face Detection

Reference 29

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Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Arcface: Additive angular margin loss for deep face recognition,

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 30a244fa-a1b0-4f8e-921d-437547c1e8ba · outbound

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Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos 5k ai generated faces,

Reference 31

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Source-reported events for the cited work

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Observation 3520e3ff-b2fb-4a30-8261-a7e0adf3daa1 · outbound

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Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Image quality assessment: from error visibility to structural similarity,

Reference 32

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Observation 7991af13-b259-434a-95ef-08b6b7e3f01f · outbound

This paper cites Shape preserving facial landmarks with graph attention networks,.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Shape preserving facial landmarks with graph attention networks,

Reference 33

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Observation 4ec8779d-06fe-4a2a-a4f3-a9e2c226317e · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 34

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Observation a1f88beb-e061-47ef-8565-96c1248a41d0 · outbound

This paper cites Available: https://doi.org/10.1145/3641107.

Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos Available: https://doi.org/10.1145/3641107

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:05.480883Z digest=sha256:20fbb711c8e7c86f18eebb34e2eff882fb47e92b6f8f0f89335515fa2b678d13

Pith citing papers

No inbound Pith citation observations are available.