Paper Citation Record · LEDGER

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning''

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.06535.

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

pith.paper-citation-record.v1
2509.06535 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:34:24.887183Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact3
verified fuzzy8
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b4f8c76-1ea0-4eaf-b763-99e86445916c · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Optuna: A next-generation hyperparameter optimization framework

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:22.716638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34791a7e-a35d-4be0-970e-b32abf8e6dd6 · outbound

This paper cites A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning

Reference 2

Resolution: verified exact; doi, observed 2026-08-04T23:34:28.171113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3865cc76-2607-4386-ba3c-94736cea9c25 · outbound

This paper cites Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:22.839522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 545e49b6-2b0a-4b7f-b8ca-d43573b4d86c · outbound

This paper cites Fairness in machine learning: A survey.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Fairness in machine learning: A survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:22.918504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f33a531-874c-499f-8670-2ab66f0b8014 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Sinkhorn distances: Lightspeed computation of optimal transport

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:27.922478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70eceb34-c108-461c-9c63-5b76ebc29eaf · outbound

This paper cites Interpolating between optimal transport and mmd using sinkhorn divergences.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Interpolating between optimal transport and mmd using sinkhorn divergences

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:27.688235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5fad9c70-be37-48e6-bfa9-339a3319f93d · outbound

This paper cites Examining gender and racial bias in large vision -- language models using a novel dataset of parallel images.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Examining gender and racial bias in large vision -- language models using a novel dataset of parallel images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:27.479997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a6fe612-95ab-4c79-9779-56d40c5f28e8 · outbound

This paper cites Role of machine learning in medical research: A survey.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Role of machine learning in medical research: A survey

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-04T23:34:25.835930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2cd5f86-8782-44cb-a723-d27fa0e0ca80 · outbound

This paper cites Borgwardt, Malte J.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Borgwardt, Malte J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:27.270742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26e9e90a-e99f-4a2d-9050-d873e243cbef · outbound

This paper cites Duurzaam in de e-infrastructuur.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Duurzaam in de e-infrastructuur

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:27.060494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16586fa4-b667-4f73-a74e-87aadc64f2ed · outbound

This paper cites Batch normalization: accelerating deep network training by reducing internal covariate shift.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Batch normalization: accelerating deep network training by reducing internal covariate shift

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:23.484282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36cdc8c3-2d85-4731-a633-7a3f507689ce · outbound

This paper cites Fairness-aware classifier with prejudice remover regularizer.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Fairness-aware classifier with prejudice remover regularizer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:23.551349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26291ade-e883-4449-9c95-98506e219ab4 · outbound

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

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:23.621390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470e6c4c-c799-46bd-82cc-6283d92eab0a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Adam: A Method for Stochastic Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:23.700398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa55965-674f-4281-b39e-b6f4654e0b65 · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Quantifying the Carbon Emissions of Machine Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:23.741510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeffc51e-89c3-46f6-8990-10d43954e3c7 · outbound

This paper cites Survey of Social Bias in Vision-Language Models.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Survey of Social Bias in Vision-Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:34:25.442697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e363e6ca-3157-4de3-b3f3-a9b7b77bac8d · outbound

This paper cites an unresolved cited work.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-04T23:34:26.818862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ded0135d-d234-456c-b198-69c59b631eac · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:23.952939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c65bd5-2c56-4382-8b90-1eeda03b7903 · outbound

This paper cites FairCLIP: Harnessing Fairness in Vision-Language Learning.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' FairCLIP: Harnessing Fairness in Vision-Language Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:24.026585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d44bc9-fc22-48a5-bae5-7941db218019 · outbound

This paper cites Methodiek co2 emissiefactoren elektriciteit.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Methodiek co2 emissiefactoren elektriciteit

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:26.593891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4112c3fc-42b9-4524-a14b-e1f811eee073 · outbound

This paper cites GPT-4 Technical Report.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' GPT-4 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:24.150894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5c6e83f-ce6e-4dd2-8d01-c440d5a524d8 · outbound

This paper cites Toward a better trade-off between performance and fairness with kernel-based distribution matching.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Toward a better trade-off between performance and fairness with kernel-based distribution matching

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T23:34:25.296677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90ff2445-3556-4208-b5d3-a3ffb012ed9e · outbound

This paper cites Recycling privileged learning and distribution matching for fairness.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Recycling privileged learning and distribution matching for fairness

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:26.376918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8963bc3a-9300-4614-a76c-7ce4456ad8da · outbound

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

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Learning transferable visual models from natural language supervision

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:34:26.118360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c392530-8a2e-4cbd-9821-fad59e433aa7 · outbound

This paper cites DeAR: Debiasing Vision-Language Models with Additive Residuals.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' DeAR: Debiasing Vision-Language Models with Additive Residuals

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-04T23:34:25.080998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b393817-6e9b-40a6-8012-2b7391a5bcdb · outbound

This paper cites Representation bias in data: A survey on identification and resolution techniques.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Representation bias in data: A survey on identification and resolution techniques

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:24.550895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b69d579-96dc-4258-9a3f-02eab965d4c2 · outbound

This paper cites Large Batch Training of Convolutional Networks.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' Large Batch Training of Convolutional Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:24.631571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc49f2ab-4eb6-4fde-8a61-3be8845ad56d · outbound

This paper cites CLIP in Medical Imaging: A Survey.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' CLIP in Medical Imaging: A Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:24.706167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9dbd783-2b62-44d4-9647-eab22e467e91 · outbound

This paper cites General facial representation learning in a visual-linguistic manner.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' General facial representation learning in a visual-linguistic manner

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:24.820294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fcf9ef-90f0-4acf-96da-67616df9b647 · outbound

This paper cites write newline.

On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning'' write newline

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:24.887183Z

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Pith citing papers

No inbound Pith citation observations are available.