Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:18.651093Z
Paper Citation Record · LEDGER
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone
As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.20637.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4d3d066c-499e-4eca-ba01-d62f9c854882 · outbound
This paper cites Demographic Bias in Biometrics: A Survey on an Emerging Chal- lenge,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Demographic Bias in Biometrics: A Survey on an Emerging Chal- lenge,
Reference 1
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Source-reported events for the cited work
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Observation c9e907e0-337c-49e2-8a8c-78e624215eff · outbound
This paper cites The Impact of Racial Distribution in Training Data on Face Recognition Bias: A Closer Look,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone The Impact of Racial Distribution in Training Data on Face Recognition Bias: A Closer Look,
Reference 2
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Source-reported events for the cited work
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Observation e1e7c60a-149a-44ee-99ac-ccfec967e973 · outbound
This paper cites NIST special publication 1270. Towards a standard for identifying and managing bias in AI,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone NIST special publication 1270. Towards a standard for identifying and managing bias in AI,
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation c48af150-3dd6-4ce8-915f-3cccd48e512c · outbound
This paper cites Not in My Face: Challenges and Ethical Considerations in Automatic Face Emotion Recognition Technology,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Not in My Face: Challenges and Ethical Considerations in Automatic Face Emotion Recognition Technology,
Reference 4
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Source-reported events for the cited work
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Observation 2f9b32bc-9caa-4dd3-92a1-3b34ab38d144 · outbound
This paper cites Investigating Bias and Fairness in Facial Expression Recognition,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Investigating Bias and Fairness in Facial Expression Recognition,
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation aadbb939-ab62-4559-a278-3a8e72eb93a5 · outbound
This paper cites Balancing the Scales: Enhanc- ing Fairness in Facial Emotion Recognition with Latent Alignment,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Balancing the Scales: Enhanc- ing Fairness in Facial Emotion Recognition with Latent Alignment,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2358da7e-39ea-4d2f-94eb-e24f311e8d70 · outbound
This paper cites Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Mod- els,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Mod- els,
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation 5517e61b-3bb7-4833-9311-762715124e2a · outbound
This paper cites Notes from the AI frontier : Tackling bias in AI ( and in humans ),.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Notes from the AI frontier : Tackling bias in AI ( and in humans ),
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 7472be39-8a3a-4163-9ce6-8cdd34fa70e4 · outbound
This paper cites Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 14458bf2-c311-4381-a645-8f5c4feb122c · outbound
This paper cites How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis,
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34704024-f5c0-4c85-9784-a46db26497b9 · outbound
This paper cites One label, one billion faces: Usage and consistency of racial categories in computer vision,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone One label, one billion faces: Usage and consistency of racial categories in computer vision,
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c58ddb5f-984f-4363-839f-d3cc483d28b8 · outbound
This paper cites Consensus and Subjectivity of Skin Tone Annotation for ML Fairness,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Consensus and Subjectivity of Skin Tone Annotation for ML Fairness,
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 67a34aba-73ee-4b96-964b-2e3c25176ead · outbound
This paper cites Which Skin Tone Measures Are the Most Inclusive? An Investigation of Skin Tone Measures for Artificial Intelligence,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Which Skin Tone Measures Are the Most Inclusive? An Investigation of Skin Tone Measures for Artificial Intelligence,
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 01eb5092-6aed-43e9-9415-91de3a18c4c9 · outbound
This paper cites The validity and practicality of sun-reactive skin types I through VI.,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone The validity and practicality of sun-reactive skin types I through VI.,
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 1c94d1a9-6de0-4102-aaf9-71d0fc126710 · outbound
This paper cites Fitz- patrick Skin Type, Individual Typology Angle, and Melanin Index in an African Population: Steps Toward Universally Applicable Skin Photosensitivity Assessments.,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Fitz- patrick Skin Type, Individual Typology Angle, and Melanin Index in an African Population: Steps Toward Universally Applicable Skin Photosensitivity Assessments.,
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3fdc41ae-31ff-4d1a-b206-f72879d53139 · outbound
This paper cites Diversity in Faces,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Diversity in Faces,
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b11911ba-b368-4881-bae0-464b4f43b3e0 · outbound
This paper cites FairFace: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone FairFace: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation,
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation 1c8175ca-838f-4f44-a18a-c2ba69190ddd · outbound
This paper cites Beyond Skin Tone: A Multidi- mensional Measure of Apparent Skin Color,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Beyond Skin Tone: A Multidi- mensional Measure of Apparent Skin Color,
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 171ee31a-a8e9-45d3-969a-c30d73647f1c · outbound
This paper cites Racial Bias within Face Recognition : A Survey,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Racial Bias within Face Recognition : A Survey,
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation cc69857b-02cc-4786-a2c3-1dfd642f2ad7 · outbound
This paper cites Evaluating Group Fairness in News Recommendations : A Comparative Study of Algorithms and Metrics,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Evaluating Group Fairness in News Recommendations : A Comparative Study of Algorithms and Metrics,
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cae5131a-af9b-4059-a51e-16e08ed7cefa · outbound
This paper cites Meta Balanced Network for Fair Face Recognition,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Meta Balanced Network for Fair Face Recognition,
Reference 21
- Resolution
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Source-reported events for the cited work
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Observation 9789c7f7-a339-402f-8ed9-c988ded03fa6 · outbound
This paper cites Towards Measuring Fairness in AI: The Casual Conversations Dataset,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Towards Measuring Fairness in AI: The Casual Conversations Dataset,
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation 8a9c3a23-9885-4d46-add0-450ee38e19bc · outbound
This paper cites Racial Influence on Automated Perceptions of Emotions,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Racial Influence on Automated Perceptions of Emotions,
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 686dba76-dd33-45fc-888d-dd92cbaaf2f4 · outbound
This paper cites Addressing Racial Bias in Facial Emotion Recognition,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Addressing Racial Bias in Facial Emotion Recognition,
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 054b7634-e6a9-4928-9194-0a0d77f1ef98 · outbound
This paper cites Understanding perception of algorithmic decisions: Fair- ness, trust, and emotion in response to algorithmic management,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Understanding perception of algorithmic decisions: Fair- ness, trust, and emotion in response to algorithmic management,
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation ef836f57-aadc-4a87-aa7e-33a0ecddd681 · outbound
This paper cites Counterfactual fairness for facial expression recognition,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Counterfactual fairness for facial expression recognition,
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 51dba7ae-2946-4179-b41a-1f1c8593079a · outbound
This paper cites Bias and Fairness on Multimodal Emotion Detection Algorithms.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Bias and Fairness on Multimodal Emotion Detection Algorithms
Reference 27
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Source-reported events for the cited work
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Observation 7ea2274e-4c96-4c4b-b717-dd9b4e908ca0 · outbound
This paper cites Domain adaptation for bias mitigation in affective computing: use cases for facial emotion recognition and sentiment analysis systems,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Domain adaptation for bias mitigation in affective computing: use cases for facial emotion recognition and sentiment analysis systems,
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation ddfea415-23f8-4a43-9c34-68079fcb8d63 · outbound
This paper cites Be- yond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Be- yond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition,
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation ca33025a-e153-497c-9f7c-f3e1b0d7df03 · outbound
This paper cites Com- putational methods for pigmented skin lesion classification in images: review and future trends,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Com- putational methods for pigmented skin lesion classification in images: review and future trends,
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 65896dd9-8e02-427e-b7eb-e607304f7ab6 · outbound
This paper cites Human Skin Detection Using RGB, HSV and YCbCr Color Models,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Human Skin Detection Using RGB, HSV and YCbCr Color Models,
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 57e7abaa-324f-43b8-a573-9da848d3edfa · outbound
This paper cites Colorimetric skin tone scale for improved accuracy of human skin tone annotations.,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Colorimetric skin tone scale for improved accuracy of human skin tone annotations.,
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation a610aac8-804f-4690-b859-0df5d9552799 · outbound
This paper cites Fairness and Bias Mitigation in Computer Vision: A Survey,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Fairness and Bias Mitigation in Computer Vision: A Survey,
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f6c8cfb8-bb7e-498d-b82f-b4b7b2b7be4a · outbound
This paper cites AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild,
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b4b308c1-a4b2-4016-aa5c-8f06f821a88f · outbound
This paper cites Exploring strategies to generate Fitz- patrick skin type metadata for dermoscopic images using individual ty- pology angle techniques,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Exploring strategies to generate Fitz- patrick skin type metadata for dermoscopic images using individual ty- pology angle techniques,
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 35de5651-a697-4d23-ac80-37adbac6e8bb · outbound
This paper cites Variations in skin colour and the biological consequences of ultraviolet radiation exposure,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Variations in skin colour and the biological consequences of ultraviolet radiation exposure,
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8de003a9-e811-4e60-8d66-b9fc894d14e6 · outbound
This paper cites Achieve fairness without demographics for dermatological disease diagnosis,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Achieve fairness without demographics for dermatological disease diagnosis,
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f608100-828c-43c0-be70-7c66383d7590 · outbound
This paper cites Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets,
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ede6da6-6874-4eb0-9eed-45b70f31aa3d · outbound
This paper cites Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommenda- tions,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Towards Fairness in AI for Melanoma Detection: Systemic Review and Recommenda- tions,
Reference 40
- Resolution
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- raw_fallback, observed 2026-08-07T13:55:20.838237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 61c729a1-a9fe-41bb-9a32-8f9b7f9cb332 · outbound
This paper cites AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ad08935-1bb5-4c0e-8d7a-422b80c4f31f · outbound
This paper cites FACET: Fairness in Computer Vision Evalua- tion Benchmark,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone FACET: Fairness in Computer Vision Evalua- tion Benchmark,
Reference 42
- Resolution
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- raw_fallback, observed 2026-08-07T13:55:20.557333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5da115dd-de89-476e-9df5-4802ea7c6160 · outbound
This paper cites Equality of opportunity in super- vised learning,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Equality of opportunity in super- vised learning,
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ee67ed6f-3446-42a4-8124-1ff4e26dcc87 · outbound
This paper cites Coroama and A.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Coroama and A
Reference 44
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7dec7e48-78d8-4d90-bd5a-a22346e17f5a · outbound
This paper cites Explaining Face Recognition Through SHAP-Based Pixel-Level Face Image Quality Assessment,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Explaining Face Recognition Through SHAP-Based Pixel-Level Face Image Quality Assessment,
Reference 45
- Resolution
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- raw_fallback, observed 2026-08-07T13:55:20.014085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9901f53b-71ca-4da4-b9e4-49a120326e5d · outbound
This paper cites On Black-Box Explanation for Face Ver- ification,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone On Black-Box Explanation for Face Ver- ification,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:55:19.760044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37cecc1d-f8f5-4e85-a0c6-4c86165ff06a · outbound
This paper cites True Black-Box Explanation in Facial Analysis,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone True Black-Box Explanation in Facial Analysis,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:55:19.471885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9b5c6ede-f007-41d7-abf2-865e4f05f7bf · outbound
This paper cites Grad-cam: Why did you say that? visual explanations from deep networks via gradient-based localization,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Grad-cam: Why did you say that? visual explanations from deep networks via gradient-based localization,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:55:19.196818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 03f0f073-e8fb-4fbf-be22-3302071273b7 · outbound
This paper cites On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:55:19.072569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7a7e5a61-9429-48b7-a7c1-b5013b6817e5 · outbound
This paper cites Focused LRP: Explainable AI for Face Morphing Attack Detection,.
TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone Focused LRP: Explainable AI for Face Morphing Attack Detection,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:55:18.905881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.