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Paper Citation Record · LEDGER

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2505.19920.

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

pith.paper-citation-record.v1
2505.19920 v1

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measured 57 of 57 reference resolution

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measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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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

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation 767bed75-306c-49da-972b-b2e111102435 · outbound

This paper cites an unresolved cited work.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 1

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Observation 49e4de79-ad76-4ab0-8bfc-8446d2c4d0bf · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Facenet: A unified embedding for face recognition and clustering,

Reference 2

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Observation 3b384fb7-91c4-44ae-b907-7b0048457603 · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Reference 3

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This paper cites Face Transformer for Recognition.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Face Transformer for Recognition

Reference 4

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Observation a5635536-3006-462e-8d4c-7dbdb600d129 · outbound

This paper cites Part-based face recognition with vision transformers,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Part-based face recognition with vision transformers,

Reference 5

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Observation 273e24f1-45b5-4c43-a1d4-4cf512bcb63f · outbound

This paper cites On soft-biometric information stored in biometric face embeddings,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks On soft-biometric information stored in biometric face embeddings,

Reference 6

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Observation 741d4646-8cc8-4c31-8290-de2b45bfbdb8 · outbound

This paper cites Beyond identity: What informa- tion is stored in biometric face templates?.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Beyond identity: What informa- tion is stored in biometric face templates?

Reference 7

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Observation 33b4f36a-7b1c-4873-a1d8-7ff25bb9e790 · outbound

This paper cites What else does your biometric data reveal? A survey on soft biomet- rics,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks What else does your biometric data reveal? A survey on soft biomet- rics,

Reference 8

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Observation ae6a507d-e2dd-44a4-9fbe-c4e26b6205c6 · outbound

This paper cites An attack on facial soft- biometric privacy enhancement,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks An attack on facial soft- biometric privacy enhancement,

Reference 9

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Observation 917a8468-1e3a-4cc7-a922-e2d5f22aa2a9 · outbound

This paper cites Privacy-enhancing face biometrics: A comprehensive survey,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Privacy-enhancing face biometrics: A comprehensive survey,

Reference 10

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Observation 6bb1db5f-d91b-41ae-9a4f-48abb2895d79 · outbound

This paper cites Face recog- nition vendor test part 3: Demographic effects,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Face recog- nition vendor test part 3: Demographic effects,

Reference 11

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Observation c7f81ce1-194c-44d8-b4c5-424ae88e9008 · outbound

This paper cites A Comprehensive Study on Face Recognition Biases Beyond Demographics,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks A Comprehensive Study on Face Recognition Biases Beyond Demographics,

Reference 12

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Observation 739b732f-d304-41cc-84a0-91ec433a3725 · outbound

This paper cites Evaluating Pro- posed Fairness Models for Face Recognition Al- gorithms,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Evaluating Pro- posed Fairness Models for Face Recognition Al- gorithms,

Reference 13

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This paper cites Demographic bias in biometrics: A survey on an emerging challenge,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Demographic bias in biometrics: A survey on an emerging challenge,

Reference 14

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Observation 0cf89e69-3358-4c56-9544-3346943ce2de · outbound

This paper cites Deep face recognition: A survey,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Deep face recognition: A survey,

Reference 15

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Source-reported events for the cited work

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This paper cites SLICE: stabilized LIME for consistent explanations for image classi- fication,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks SLICE: stabilized LIME for consistent explanations for image classi- fication,

Reference 16

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Source-reported events for the cited work

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Observation 7a429878-329a-4529-85cb-cdd09589736f · outbound

This paper cites 1016 / J.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks 1016 / J

Reference 17

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Observation 80fd7510-71e7-4cc8-b378-f82f03bf05a8 · outbound

This paper cites Ef- ficient explainable face verification based on similar- ity score argument backpropagation,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Ef- ficient explainable face verification based on similar- ity score argument backpropagation,

Reference 18

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This paper cites Explain- able face recognition,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Explain- able face recognition,

Reference 19

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A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 20

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This paper cites Pixel-level face im- age quality assessment for explainable face recogni- tion,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Pixel-level face im- age quality assessment for explainable face recogni- tion,

Reference 21

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Observation ff44a60a-dbec-4a05-b455-753cd523ff06 · outbound

This paper cites Unsupervised privacy-enhancement of face representations using similarity-sensitive noise trans- formations,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unsupervised privacy-enhancement of face representations using similarity-sensitive noise trans- formations,

Reference 22

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Observation ad41c266-0a1e-403a-a079-26f07ec9b968 · outbound

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

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Magface: A universal representation for face recognition and quality assessment,

Reference 23

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Observation e0df13c2-e92c-4b49-b66e-1c2dde9a0945 · outbound

This paper cites PE-MIU: A training-free privacy- enhancing face recognition approach based on min- imum information units,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks PE-MIU: A training-free privacy- enhancing face recognition approach based on min- imum information units,

Reference 24

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Observation 19c15b24-3458-41aa-81ff-5857520e346c · outbound

This paper cites Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition

Reference 25

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Observation fe576b4f-0868-4c03-96fe-cd1a767a7959 · outbound

This paper cites Multi-ive: Privacy enhancement of multiple soft-biometrics in face embeddings,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Multi-ive: Privacy enhancement of multiple soft-biometrics in face embeddings,

Reference 26

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This paper cites Suppressing gender and age in face templates using incremental variable elimination,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Suppressing gender and age in face templates using incremental variable elimination,

Reference 27

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A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 28

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Observation f0c0ea2c-d00f-4042-a189-8423da573cff · outbound

This paper cites Aspecd: Adaptable soft-biometric privacy-enhancement us- ing centroid decoding for face verification,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Aspecd: Adaptable soft-biometric privacy-enhancement us- ing centroid decoding for face verification,

Reference 29

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Observation 2b68d194-87c2-4993-8924-698f29ae09b6 · outbound

This paper cites Sensitivenets: Learning agnostic repre- sentations with application to face images,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Sensitivenets: Learning agnostic repre- sentations with application to face images,

Reference 30

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Observation 9cf07831-e9ca-47d8-8d07-6773f3b72f49 · outbound

This paper cites Learning privacy-enhancing face representations through feature disentanglement,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Learning privacy-enhancing face representations through feature disentanglement,

Reference 31

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Observation 36f55b8a-00f9-4adb-afeb-5950eef27986 · outbound

This paper cites Instance- consistent fair face recognition,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Instance- consistent fair face recognition,

Reference 32

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Observation d1851bc0-7894-40b7-9b2b-4c859918044f · outbound

This paper cites FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Reference 33

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Observation 4e65801e-55a9-4cd4-b67d-cc5d886e34a3 · outbound

This paper cites La- bellessface: Fair metric learning for face recogni- tion without attribute labels,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks La- bellessface: Fair metric learning for face recogni- tion without attribute labels,

Reference 34

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Observation baa0f1e6-0479-46ab-960f-b959e7f5cad6 · outbound

This paper cites Post-comparison mitigation of de- mographic bias in face recognition using fair score normalization,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Post-comparison mitigation of de- mographic bias in face recognition using fair score normalization,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d55769ae-d459-4adc-a269-8d5d7bb02072 · outbound

This paper cites Demographic fairness transformer for bias mitigation in face recognition,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Demographic fairness transformer for bias mitigation in face recognition,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86bd6dc8-8fb5-4207-8c9d-ac44875b01eb · outbound

This paper cites Mitigating demographic bias in face recognition via regularized score calibra- tion,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Mitigating demographic bias in face recognition via regularized score calibra- tion,

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b99c071e-5a94-4880-bf06-02cba8eeab99 · outbound

This paper cites Grad-cam: Visual explana- tions from deep networks via gradient-based local- ization,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Grad-cam: Visual explana- tions from deep networks via gradient-based local- ization,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T14:09:08.714750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 04177edf-be49-45f1-8bed-ce624eb523a8 · outbound

This paper cites FALCON: fair face recognition via local optimal feature normalization,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks FALCON: fair face recognition via local optimal feature normalization,

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 785ae42e-f0f2-4b2b-99a4-8c84a2272e26 · outbound

This paper cites On black-box explana- tion for face verification,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks On black-box explana- tion for face verification,

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1badcd6c-79b4-4042-b9e8-83e30c566e9d · outbound

This paper cites Adam: A method for stochastic optimization,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Adam: A method for stochastic optimization,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T14:09:07.895211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7547da20-4a8d-49ca-91ae-87f55abedf3d · outbound

This paper cites an unresolved cited work.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 42

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unresolved
raw_fallback, observed 2026-08-07T14:09:07.576298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3865f83e-95ba-4e8e-89bc-f1e386f3278c · outbound

This paper cites Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Reference 43

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no resolver link, observed 2026-08-07T14:08:21.304038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 02de4eca-7216-422c-8dca-3cc99bebcffe · outbound

This paper cites Dropout: A sim- ple way to prevent neural networks from overfitting,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Dropout: A sim- ple way to prevent neural networks from overfitting,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T14:09:08.224753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation da05016f-fdf0-4cf1-8ba2-3d7c531a145f · outbound

This paper cites Age and gen- der estimation of unfiltered faces,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Age and gen- der estimation of unfiltered faces,

Reference 45

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unresolved
no resolver link, observed 2026-08-07T14:08:21.967143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 20b203e9-66a2-4db0-8617-49c1d8b5f093 · outbound

This paper cites The FERET database and evaluation procedure for face-recognition algorithms,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks The FERET database and evaluation procedure for face-recognition algorithms,

Reference 46

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malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3f097070-330c-4c41-85a1-d25f0c73b19e · outbound

This paper cites Labeled faces in the wild: A database forstudying face recognition in unconstrained envi- ronments,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Labeled faces in the wild: A database forstudying face recognition in unconstrained envi- ronments,

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-07T14:09:06.194935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:08:22.145940Z digest=sha256:c02a946f85daa6d211588d78cdcf41c48e1a015bc8bf5439ebd1db3c5e94a409

Observation d68d88e5-ea30-445f-a11c-ef7f434f5631 · outbound

This paper cites an unresolved cited work.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 48

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unresolved
raw_fallback, observed 2026-08-07T14:09:07.204892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 570a9c9a-ff0b-49e6-affa-1ec3a1581b0f · outbound

This paper cites an unresolved cited work.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 49

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 95a91ab7-e03e-47b2-8a91-ad170bf530ee · outbound

This paper cites Fairness in Bio- metrics: A Figure of Merit to Assess Biometric Veri- fication Systems,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Fairness in Bio- metrics: A Figure of Merit to Assess Biometric Veri- fication Systems,

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8b92b2b3-218e-4599-96e4-f008dbd14c05 · outbound

This paper cites Evaluating proposed fairness models for face recognition algorithms,.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Evaluating proposed fairness models for face recognition algorithms,

Reference 51

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:08:22.554636Z digest=sha256:9f893a3bc34c9d6d7dd84f017836ed056a8d7ac45d5b27bbeef07d7ddfff450e

Observation 6f3713e0-1c18-4f8f-ab3d-bf55d301f1bb · outbound

This paper cites On the Illusion of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks On the Illusion of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes

Reference 52

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verified exact
local_arxiv, observed 2026-08-07T14:08:22.875587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:08:22.632722Z digest=sha256:3a13e985ef19c1402a1ad36cdca9619510a4ce91b9d431e4a58a708816ac831d

Observation 4c7a6279-0ec1-4ee6-9365-76b79abde099 · outbound

This paper cites Information technology — Biometric performance testing and reporting — Part 1: Principles and frame- work (ISO/IEC 19795-1).

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Information technology — Biometric performance testing and reporting — Part 1: Principles and frame- work (ISO/IEC 19795-1)

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-07T14:09:05.949628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:08:22.230393Z digest=sha256:8a05669d18e99402e8758f0c2b254e5d5e38205f0bcb6e658a1dbb18176f2699

Observation 0afd691d-a085-4af2-98d6-ccb09f2a2967 · outbound

This paper cites FRONTEX, 2016.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks FRONTEX, 2016

Reference 54

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malformed identifier
doi_truncated, observed 2026-08-07T14:08:23.105844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:08:22.332516Z digest=sha256:748470826ce3422fa53df7185f21b5f7fc9f12da6def3e49ab9a4ac57fd67f32

Observation 63fc767d-c649-457f-8696-215b976edaae · outbound

This paper cites an unresolved cited work.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 626

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unresolved
no resolver link, observed 2026-08-07T14:08:21.232807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:08:21.232807Z digest=sha256:3780ed2af13fb9812957664aa83e2f6cc1d42cd10d14f4ab7e2e2dd60ff31867

Observation 1a51029f-f031-4ab3-8050-f5350c527c8b · outbound

This paper cites an unresolved cited work.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 2014

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unresolved
no resolver link, observed 2026-08-07T14:08:21.521349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:08:21.521349Z digest=sha256:c1daa0308cae2612eed82d2566fa77d66c946a1d88f0e855727989d4172fc308

Observation 1423f327-1dee-4b89-837c-496363efa595 · outbound

This paper cites an unresolved cited work.

A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks Unresolved cited work

Reference 2021

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unresolved
no resolver link, observed 2026-08-07T14:08:18.138482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:08:18.138482Z digest=sha256:f23fd781773374ad661d59ceca71c387bb1a070e657b6ea7db969318a98bdddf

Pith citing papers

No inbound Pith citation observations are available.