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Paper Citation Record · LEDGER

Analyzing Fairness of Computer Vision and Natural Language Processing Models

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.09900.

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

pith.paper-citation-record.v1
2412.09900 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:41:06.354002Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • verified fuzzy2
  • unresolved43
  • parse uncertain0
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External citation measurements

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Outbound references

Observation a899b928-8ce8-4c07-84ab-f40168ff0731 · outbound

This paper cites an unresolved cited work.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 1

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Observation 62a917ca-2a37-4bab-a23c-5a2dbc6b3f4a · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 2

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Observation 236350b5-8405-43ca-aca5-44c6b24772f7 · outbound

This paper cites Efficient candidate screening under multiple tests and implications for fairness.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Efficient candidate screening under multiple tests and implications for fairness

Reference 3

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Observation 58e9b1b4-9f52-4882-91c9-8a45ed96d899 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 4

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Observation d23760be-69e5-40c7-a3c8-9fe3518a5de3 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 5

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Observation 182feccf-4f82-4463-85a5-51a905324966 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 6

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This paper cites 2016.Weapons of Math Destruction: How Big Data Increases Inequal- ity and Threatens Democracy.

Analyzing Fairness of Computer Vision and Natural Language Processing Models 2016.Weapons of Math Destruction: How Big Data Increases Inequal- ity and Threatens Democracy

Reference 7

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Observation badc69a3-9395-42e4-8361-360918d359e0 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 8

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Observation eb04864a-509e-4ee4-a822-b46c7c1a0503 · outbound

This paper cites Buolamwini and T.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Buolamwini and T

Reference 9

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Observation f17ee962-bfe1-4866-b482-681727e71b5f · outbound

This paper cites The age of secrecy and unfairness in recidivism prediction.

Analyzing Fairness of Computer Vision and Natural Language Processing Models The age of secrecy and unfairness in recidivism prediction

Reference 11

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Observation 0f85abd2-3c2d-4751-a1b3-3e01fefe079c · outbound

This paper cites Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Reference 12

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Observation 2dfc3977-4f0c-403b-9ab6-38752bf881f8 · outbound

This paper cites CASPaxos: Replicated State Machines without logs.

Analyzing Fairness of Computer Vision and Natural Language Processing Models CASPaxos: Replicated State Machines without logs

Reference 13

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Observation ccd7e8da-f142-496f-88e1-b6dbdb4577b4 · outbound

This paper cites The Balmer spectrum of rational equivariant cohomology theories.

Analyzing Fairness of Computer Vision and Natural Language Processing Models The Balmer spectrum of rational equivariant cohomology theories

Reference 14

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Observation fafb37c1-78ef-46de-b0f5-da9d9c76d89a · outbound

This paper cites Analyzing Fairness of Classification Machine Learning Model with Structured Dataset.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Analyzing Fairness of Classification Machine Learning Model with Structured Dataset

Reference 15

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Observation 6c1d2b5f-a2df-4af7-82c7-ef1a9a5dc86f · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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This paper cites ”A survey of privacy risks and mitigation strategies in the Artificial Intelligence life cycle”.

Analyzing Fairness of Computer Vision and Natural Language Processing Models ”A survey of privacy risks and mitigation strategies in the Artificial Intelligence life cycle”

Reference 17

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Observation 6abe053f-ac45-4519-be25-7212bedbc79b · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Observation f2b98456-c853-4d9d-b771-cfce7e61be95 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Observation 5e3d05d1-a683-432a-bdca-81b8cb98642b · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Differentially Private Clustered Federated Learning

Reference 20

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Observation 77b453ab-543e-4600-96e8-05de3afbded7 · outbound

This paper cites Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity

Reference 21

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Observation ded7b985-ea9b-45e0-aebe-2c35fced5ea3 · outbound

This paper cites On the (In)Compatibility between Group Fairness and Individual Fairness.

Analyzing Fairness of Computer Vision and Natural Language Processing Models On the (In)Compatibility between Group Fairness and Individual Fairness

Reference 22

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models The effects of data preprocessing on probability of default model fairness

Reference 24

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Analyzing Fairness of Computer Vision and Natural Language Processing Models H., Lemoine, B., & Mitchell, M

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Observation 85cf6c5b-aab5-451a-898c-8cc32ed2bb5d · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Observation c40a93f4-3828-4658-a95a-47cb7632d804 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Observation fc88bb5e-57f7-4d73-b767-021850e64cc1 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Bridging Interpretability and Robustness Using LIME-Guided Model Refinement

Reference 29

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Analyzing Fairness of Computer Vision and Natural Language Processing Models M., & Lee, S.-I

Reference 30

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

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Observation a81d509b-5f72-434e-8027-9107014029e5 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 38

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Observation 2fa9b4d7-79d4-4840-b3da-e480bf1ded60 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Equality of opportunity in supervised learning

Reference 39

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Observation 1e93d499-28b0-4cfa-8627-d4e54c576a49 · outbound

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Analyzing Fairness of Computer Vision and Natural Language Processing Models Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning

Reference 40

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Observation 0d483335-54a7-48b5-b1f3-76c702b81795 · outbound

This paper cites The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default.

Analyzing Fairness of Computer Vision and Natural Language Processing Models The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21b3793c-a20c-47c1-bd96-b30ec59c05b8 · outbound

This paper cites an unresolved cited work.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6eddf8c9-674e-4351-b86e-59f47e4b3af6 · outbound

This paper cites an unresolved cited work.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation 749f99d9-7221-48ce-adf2-e33e787ae869 · outbound

This paper cites Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Reference 44

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no resolver link, observed 2026-08-11T16:41:06.325399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f4f94e96-d9c4-40b6-878b-aec0d59070f5 · outbound

This paper cites A comparative study of fairness-enhancing interventions in machine learning.

Analyzing Fairness of Computer Vision and Natural Language Processing Models A comparative study of fairness-enhancing interventions in machine learning

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e4425cf3-d32c-4224-a536-8fd71ef068d7 · outbound

This paper cites an unresolved cited work.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 46

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unresolved
no resolver link, observed 2026-08-11T16:41:06.335409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:41:06.335409Z digest=sha256:ef0a9ba287fd4ddef9804e6501aa8d24a9e181cf53a80ec1f57b11e9f400c076

Observation 1a978471-5b13-41fb-a6f5-e35ae3c68e9c · outbound

This paper cites an unresolved cited work.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 47

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8e550a8b-456d-40d2-b90d-71b434a5d1fb · outbound

This paper cites an unresolved cited work.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Unresolved cited work

Reference 48

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 748578ed-59ad-429f-a530-130845b1869c · outbound

This paper cites B., et al.

Analyzing Fairness of Computer Vision and Natural Language Processing Models B., et al

Reference 49

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 48e84d85-f432-46b9-b21c-55d36053b388 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Towards A Rigorous Science of Interpretable Machine Learning

Reference 50

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unresolved
no resolver link, observed 2026-08-11T16:41:06.354002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1d101be4-7831-415a-b7ff-c6624a39a96e · outbound

This paper cites Toward Fairness in AI for People with Disabilities: A Research Roadmap.

Analyzing Fairness of Computer Vision and Natural Language Processing Models Toward Fairness in AI for People with Disabilities: A Research Roadmap

Reference 2019

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.