Paper Citation Record · LEDGER

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

As of 22 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 3 inbound Pith citation observations for arXiv:2412.06235.

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

pith.paper-citation-record.v1
2412.06235 v2

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:58:24.469812Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:44:33.900053Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T14:18:21.434649Z

Reference resolution

82 of 82 outbound references displayed

verified exact3
verified fuzzy55
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89b8bce9-0374-4f32-b887-65dbca6b5bb2 · outbound

This paper cites Killing two birds with one stone: Efficient and robust training of face recognition cnns by Partial FC.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Killing two birds with one stone: Efficient and robust training of face recognition cnns by Partial FC

Reference 1

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Observation dfce0d52-6a12-44b1-aafb-ec7df2c0862b · outbound

This paper cites DigiFace-1M : 1 million digital face images for face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition DigiFace-1M : 1 million digital face images for face recognition

Reference 2

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Observation 85697dce-9d5d-40aa-adfb-9f94d47d11c5 · outbound

This paper cites SDFD : Building a versatile synthetic face image dataset with diverse attributes.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition SDFD : Building a versatile synthetic face image dataset with diverse attributes

Reference 3

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Observation 1c48f57e-0d41-4a48-ad39-06a50f814c2a · outbound

This paper cites Identity-preserving aging of face images via latent diffusion models.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Identity-preserving aging of face images via latent diffusion models

Reference 4

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Observation 5155ea7b-a314-454b-bbcd-02774bb8b721 · outbound

This paper cites Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, and Tom Goldstein.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, and Tom Goldstein

Reference 5

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Observation bc42d2b5-aecf-41e1-bbcd-25935d3ee560 · outbound

This paper cites Universal guidance for diffusion models.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Universal guidance for diffusion models

Reference 6

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Observation 523696c5-240b-4bb8-becd-502e7d3452e5 · outbound

This paper cites Sface: Privacy-friendly and accurate face recognition using synthetic data.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Sface: Privacy-friendly and accurate face recognition using synthetic data

Reference 7

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Observation e825f6fa-8f61-4ab5-b396-4ab209aa327d · outbound

This paper cites IDiff-Face : Synthetic-based face recognition through fizzy identity-conditioned diffusion model.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition IDiff-Face : Synthetic-based face recognition through fizzy identity-conditioned diffusion model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.937466Z

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Observation 892f8153-8353-4966-9b9c-67f914d03a38 · outbound

This paper cites ExFaceGAN : Exploring identity directions in GAN’s learned latent space for synthetic identity generation.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition ExFaceGAN : Exploring identity directions in GAN’s learned latent space for synthetic identity generation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.910936Z

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Observation 3fa20956-003d-41fc-ad01-0cf35e7edf96 · outbound

This paper cites Synthetic data for face recognition: Current state and future prospects.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Synthetic data for face recognition: Current state and future prospects

Reference 10

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Observation 4f2d984c-cbad-43df-b6b2-0e157956ce3c · outbound

This paper cites SFace2 : Synthetic-based face recognition with w-space identity-driven sampling.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition SFace2 : Synthetic-based face recognition with w-space identity-driven sampling

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.885845Z

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Observation 1bec8b8f-e361-427d-a3bc-cf0d8c6baaa3 · outbound

This paper cites Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Scalable high-resolution pixel-space image synthesis with hourglass diffusion transformers

Reference 12

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Observation 56e9316d-4387-4d0c-9d39-58a9c4532ba3 · outbound

This paper cites FRCSyn challenge at CVPR 2024 : Face recognition challenge in the era of synthetic data.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition FRCSyn challenge at CVPR 2024 : Face recognition challenge in the era of synthetic data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.844465Z

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Observation 20bab940-0d53-41a3-a705-86e645e12959 · outbound

This paper cites ArcFace : Additive angular margin loss for deep face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition ArcFace : Additive angular margin loss for deep face recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.821404Z

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Observation 228191b7-64f3-4d6c-9f8c-e9a11d6180c7 · outbound

This paper cites Disentangled and controllable face image generation via 3D imitative-contrastive learning.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Disentangled and controllable face image generation via 3D imitative-contrastive learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.802948Z

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Observation 8854598f-d513-40d9-810a-a6f405bbd84b · outbound

This paper cites Diffusion models beat GANs on image synthesis.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Diffusion models beat GANs on image synthesis

Reference 16

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Observation fa4a8548-2c70-47c6-a135-25844d30f786 · outbound

This paper cites The Vendi score: A diversity evaluation metric for machine learning.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition The Vendi score: A diversity evaluation metric for machine learning

Reference 17

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Observation ae471e2b-dd61-4e6c-bd7a-38e30658cbe4 · outbound

This paper cites MS-Celeb-1M : A dataset and benchmark for large-scale face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition MS-Celeb-1M : A dataset and benchmark for large-scale face recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.476905Z

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Observation e46ef738-dbd7-4058-b591-1913978103bf · outbound

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VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Unresolved cited work

Reference 19

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Observation c795ebba-b39a-433e-9dc6-efe4ea798860 · outbound

This paper cites Classifier-Free Diffusion Guidance.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Classifier-Free Diffusion Guidance

Reference 20

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Observation 795d2a57-1837-41bb-9cde-c7ee7d2f4884 · outbound

This paper cites Denoising diffusion probabilistic models.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Denoising diffusion probabilistic models

Reference 21

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Observation 4cd7458a-e6db-4051-b5b0-67f480dbda43 · outbound

This paper cites Labeled Faces in the Wild : A database for studying face recognition in unconstrained environments.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Labeled Faces in the Wild : A database for studying face recognition in unconstrained environments

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.434533Z

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Observation 5b152e6a-9de6-425c-8cb9-6d32d8c1152d · outbound

This paper cites CurricularFace : adaptive curriculum learning loss for deep face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition CurricularFace : adaptive curriculum learning loss for deep face recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.414208Z

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Observation ac8a611e-4147-492e-b2ae-d02691a6f574 · outbound

This paper cites Controllable inversion of black-box face recognition models via diffusion.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Controllable inversion of black-box face recognition models via diffusion

Reference 24

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Observation 47485cf9-57ae-4957-bfbb-e8232e6dfd84 · outbound

This paper cites FairFace : Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition FairFace : Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.376987Z

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Observation 3d8e18ec-02f6-4862-8665-7fb4dca53c0a · outbound

This paper cites Training generative adversarial networks with limited data.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Training generative adversarial networks with limited data

Reference 26

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Observation c6e328ad-f463-4a8b-92c1-daf4b4322bca · outbound

This paper cites The MegaFace benchmark: 1 million faces for recognition at scale.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition The MegaFace benchmark: 1 million faces for recognition at scale

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.344868Z

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Observation 42897414-4def-49c7-9995-657f1fde8db9 · outbound

This paper cites DiffusionCLIP : Text-guided diffusion models for robust image manipulation.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition DiffusionCLIP : Text-guided diffusion models for robust image manipulation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.268676Z

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Observation bfbbefa0-a9a0-49b5-ad21-ac80f7af0824 · outbound

This paper cites AdaFace : Quality adaptive margin for face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition AdaFace : Quality adaptive margin for face recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.160906Z

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Observation 20d03c31-6413-4274-bd2a-45c516031916 · outbound

This paper cites DCFace : Synthetic face generation with dual condition diffusion model.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition DCFace : Synthetic face generation with dual condition diffusion model

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:27.093758Z

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Observation 14578767-762e-4fc7-8165-9431cf4ddc94 · outbound

This paper cites VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition

Reference 31

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Observation 4bad292f-f41e-43b4-922a-966010d09b22 · outbound

This paper cites Identity-driven three-player generative adversarial network for synthetic-based face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Identity-driven three-player generative adversarial network for synthetic-based face recognition

Reference 32

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Observation 38fe43de-7f0c-4618-8e0a-7147539c8a6f · outbound

This paper cites Demographic bias effects on face image synthesis.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Demographic bias effects on face image synthesis

Reference 33

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This paper cites a m \"a r \.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition a m \"a r \

Reference 34

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Observation 15eab1f9-df80-40b3-a006-a4560c26bdb0 · outbound

This paper cites Deep facial expression recognition: A survey.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Deep facial expression recognition: A survey

Reference 35

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Observation 8c00fbe6-67b9-4ae1-bea0-096cb177ee34 · outbound

This paper cites ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Reference 36

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This paper cites Learning to learn across diverse data biases in deep face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Learning to learn across diverse data biases in deep face recognition

Reference 37

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Observation f57315d6-12dd-484b-8628-a442af4d8045 · outbound

This paper cites Controllable and guided face synthesis for unconstrained face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Controllable and guided face synthesis for unconstrained face recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.976181Z

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Observation 630656b5-d27a-4b52-926c-19c001699823 · outbound

This paper cites SphereFace : Deep hypersphere embedding for face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition SphereFace : Deep hypersphere embedding for face recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.956379Z

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Observation 64d61f36-0a4c-4276-ae8c-415dbf0d5a5a · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 40

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This paper cites Fine-grained image editing by pixel-wise guidance using diffusion models.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Fine-grained image editing by pixel-wise guidance using diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.933471Z

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Observation 9e6c6d3e-1fc1-4f48-92b0-d06389e4ed0b · outbound

This paper cites A survey on bias and fairness in machine learning.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition A survey on bias and fairness in machine learning

Reference 42

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This paper cites GANDiffFace : Controllable generation of synthetic datasets for face recognition with realistic variations.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition GANDiffFace : Controllable generation of synthetic datasets for face recognition with realistic variations

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.795772Z

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Observation 7a41af81-1697-49e9-b732-e531f606532b · outbound

This paper cites FRCSyn-onGoing : Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition FRCSyn-onGoing : Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.717915Z

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Observation 969d6aa2-ec89-4d2f-89c7-b05d84dbb1d8 · outbound

This paper cites MagFace : A universal representation for face recognition and quality assessment.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition MagFace : A universal representation for face recognition and quality assessment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.693684Z

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Observation 079e9633-52ab-4ca0-b621-e4c817b3db10 · outbound

This paper cites AgeDB : the first manually collected, in-the-wild age database.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition AgeDB : the first manually collected, in-the-wild age database

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.668167Z

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Observation ceb02f16-d508-4384-aa17-5cb8e4880430 · outbound

This paper cites Improved denoising diffusion probabilistic models.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Improved denoising diffusion probabilistic models

Reference 47

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Observation f5f7e107-c123-41f5-bd37-1d87c1760cc4 · outbound

This paper cites CLIB-FIQA : Face image quality assessment with confidence calibration.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition CLIB-FIQA : Face image quality assessment with confidence calibration

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.623726Z

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Observation cb96074e-8440-4713-ad31-824f49bdd7b0 · outbound

This paper cites Arc2Face: A Foundation Model for ID-Consistent Human Faces.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Arc2Face: A Foundation Model for ID-Consistent Human Faces

Reference 49

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Observation 9bb19023-2575-42de-89d7-cb6dcf39a658 · outbound

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VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:58:26.591911Z

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Observation bca540b6-b58d-46b3-b6a7-3eef02ca10fc · outbound

This paper cites Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence and amending regulations.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence and amending regulations

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.567007Z

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Observation a3ad73d3-97db-4a24-9cfe-6d442d0512cc · outbound

This paper cites Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.545644Z

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Observation 98a7db50-8785-4428-996a-fcf789188d71 · outbound

This paper cites GlassesGAN : Eyewear personalization using synthetic appearance discovery and targeted subspace modeling.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition GlassesGAN : Eyewear personalization using synthetic appearance discovery and targeted subspace modeling

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.518345Z

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Observation 89169fa0-6a34-4f22-8e46-e0db7722db5c · outbound

This paper cites SynFace : Face recognition with synthetic data.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition SynFace : Face recognition with synthetic data

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.272092Z

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Observation e1743822-d1a7-45d1-9778-94dfe9191ee9 · outbound

This paper cites Learning transferable visual models from natural language supervision.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Learning transferable visual models from natural language supervision

Reference 55

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Observation 8e85299f-6e68-4818-9d29-528682bfcb23 · outbound

This paper cites Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition

Reference 56

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Observation 1ae0b93a-e995-4b5d-b993-1e3fb1bddd45 · outbound

This paper cites 3D face reconstruction by learning from synthetic data.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition 3D face reconstruction by learning from synthetic data

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.205563Z

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Observation d4c3d29d-bcb5-4400-89b3-1f49b389e7b1 · outbound

This paper cites Learning detailed face reconstruction from a single image.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Learning detailed face reconstruction from a single image

Reference 58

Resolution: verified exact; doi, observed 2026-08-11T19:58:24.547950Z

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Observation b9c7b8dc-c723-441a-8cd2-e9d214ccaa82 · outbound

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

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition High-resolution image synthesis with latent diffusion models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T19:58:23.882929Z

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Observation d2dc4e80-4dc3-40a9-8689-4893dd633aed · outbound

This paper cites Frontal to profile face verification in the wild.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Frontal to profile face verification in the wild

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.168327Z

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Observation 9e944dfa-ff7e-4a8a-b3c5-89931fd2aef6 · outbound

This paper cites HyperExtended LightFace : A facial attribute analysis framework.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition HyperExtended LightFace : A facial attribute analysis framework

Reference 61

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Observation 1aa26a4a-4410-43e4-9454-a53906c475e8 · outbound

This paper cites SDFR : Synthetic data for face recognition competition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition SDFR : Synthetic data for face recognition competition

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.149213Z

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Observation 2318f314-359d-41a6-b323-22046c26b8e5 · outbound

This paper cites GLU Variants Improve Transformer.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition GLU Variants Improve Transformer

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T19:58:23.910812Z

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Observation 179aa2b9-6005-4869-a1bb-ee3db8a9a214 · outbound

This paper cites InterFaceGAN : Interpreting the disentangled face representation learned by GANs.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition InterFaceGAN : Interpreting the disentangled face representation learned by GANs

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.128460Z

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Observation 05659443-9af9-4cf0-9fdf-ebfc2fb5df15 · outbound

This paper cites Deep learning face representation by joint identification-verification.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Deep learning face representation by joint identification-verification

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.109518Z

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Observation c41fda4e-e3d2-4032-b5dd-6dc08340b534 · outbound

This paper cites Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T19:58:23.927818Z

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Observation f6e37da1-ced1-4bbf-b1c6-513028d3aebb · outbound

This paper cites DeepFace : Closing the gap to human-level performance in face verification.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition DeepFace : Closing the gap to human-level performance in face verification

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.083214Z

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Observation dadfa37d-f517-44f8-b184-0744402fb85d · outbound

This paper cites Beyond skin tone: A multidimensional measure of apparent skin color.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Beyond skin tone: A multidimensional measure of apparent skin color

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.061676Z

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Observation 173a987a-f04d-4aca-93aa-6aa5266c81ed · outbound

This paper cites Generating photo-realistic training data to improve face recognition accuracy.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Generating photo-realistic training data to improve face recognition accuracy

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:26.043272Z

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Observation 6d652dbc-2c6a-4c68-8a1f-9e1e3aa16e49 · outbound

This paper cites Exploring CLIP for assessing the look and feel of images.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Exploring CLIP for assessing the look and feel of images

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.950548Z

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Observation a373a4c7-fbc5-4483-99fe-b4909370a8d2 · outbound

This paper cites Deep face recognition: A survey.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Deep face recognition: A survey

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.756079Z

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Observation eb3ddf15-9330-4502-8c19-f1bd9e1c2b5a · outbound

This paper cites Racial Faces in the Wild : Reducing racial bias by information maximization adaptation network.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Racial Faces in the Wild : Reducing racial bias by information maximization adaptation network

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.619915Z

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Observation 61ca1646-9ca1-4cb8-aacc-60c211830954 · outbound

This paper cites Fake it till you make it: face analysis in the wild using synthetic data alone.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Fake it till you make it: face analysis in the wild using synthetic data alone

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.595868Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1eda3739-37c5-463f-8e2f-c47c98f855b7 · outbound

This paper cites Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-11T19:58:24.657195Z

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Observation 05267beb-cee4-438f-a443-d033ec587b08 · outbound

This paper cites Text-guided 3D face synthesis-from generation to editing.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Text-guided 3D face synthesis-from generation to editing

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.574649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a5e5d0e-cf42-43ba-a886-1daa97c6db06 · outbound

This paper cites Demystifying CLIP Data.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Demystifying CLIP Data

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T19:58:24.271278Z

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Observation 0c7037fc-e730-4add-b390-3f64d2a40dfb · outbound

This paper cites Learning Face Representation from Scratch.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Learning Face Representation from Scratch

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T19:58:24.278237Z

Source-reported events for the cited work

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Observation af577b3f-6ea7-41e5-b6ba-a7977f9a2dc3 · outbound

This paper cites Cross-Pose LFW : A database for studying cross-pose face recognition in unconstrained environments.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Cross-Pose LFW : A database for studying cross-pose face recognition in unconstrained environments

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.557306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5c2812d3-32e9-4a13-b9c6-6a1b580fb66a · outbound

This paper cites Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T19:58:24.293213Z

Source-reported events for the cited work

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Observation 858df683-b5ae-45ae-a0cd-6ad870f73d25 · outbound

This paper cites UniFace : Unified cross-entropy loss for deep face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition UniFace : Unified cross-entropy loss for deep face recognition

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.540593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44791bcb-638b-490d-a8a9-60743ce11875 · outbound

This paper cites WebFace260M : A benchmark unveiling the power of million-scale deep face recognition.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition WebFace260M : A benchmark unveiling the power of million-scale deep face recognition

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:58:25.523681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 449e16df-7736-4527-bd6d-ee4d149c3da7 · outbound

This paper cites write newline.

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition write newline

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T19:58:24.469812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8d96beae-abfb-46ea-8b8c-eee92f1a2161 · inbound

On Applicability of Synthetic Datasets for Facial Expression Recognition cites this paper.

On Applicability of Synthetic Datasets for Facial Expression Recognition VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:18:21.436047Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 554fbf2b-bd16-43bb-9b70-f8e6432cf038 · inbound

Benchmarking Face Recognition without Real Faces cites this paper.

Benchmarking Face Recognition without Real Faces VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T00:44:33.900053Z

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Observation f1944a54-a7be-4064-96d2-0f796956f718 · inbound

On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems cites this paper.

On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T21:20:00.812767Z

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