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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:22.716638Z digest=sha256:610cea03f435d279220eec47412dfb02e95bebc2a54c52a7e2c1d067a0a2fe4a

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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:22.918504Z digest=sha256:08e4d81b7033b785adfd71bac1aca457f4783adf99bcec39a0da9236b9798b91

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-04T23:34:22.967496Z digest=sha256:5467dcff0f2134a9943e4978f98e4bef17937d31fa62531e0e87fd694ddc0300

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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:23.484282Z digest=sha256:64e66ebc5b6a2dc81f9deecc6570f005a033d62e58a9b0ade057fbdd9d1aaf2f

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:23.551349Z digest=sha256:ec36cd99e360d8461923f24c9ac417ef4d8e4a9094ddbd60122bfc62376c6581

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

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source=arxiv_source observed=2026-08-04T23:34:23.621390Z digest=sha256:730ce86c2ce71d5d95c72ee61d583f37d3df9da30d1d3d7363d8f8c340931a43

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

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

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Unavailable: canonical work link unavailable.

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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

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

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Unavailable: canonical work link unavailable.

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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 2026-08-15T06:32:42.880941+00:00.

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

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

Reference 19

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

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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

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source=arxiv_source observed=2026-08-04T23:34:23.952939Z digest=sha256:36650fe7dc136e15556b46c56ca64fe22f381c67cadd305ad99f7d5fd2997129

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

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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

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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 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

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source=arxiv_source observed=2026-08-04T23:34:24.150894Z digest=sha256:bbc09357a21f31583ac8868d64e979edfd89030249ecef11ac76cb772d344586

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

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local_arxiv, observed 2026-08-04T23:34:25.296677Z

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

source=arxiv_source observed=2026-08-04T23:34:24.225324Z digest=sha256:65fece9023bff4cfdcd4fb50d15d07e43246fbd6049fd6d16a9cf05c84745481

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-04T23:34:24.302581Z digest=sha256:5f9ebfe57cb53998bf973d38d9f4e7a839842af8621ef0a34af870702dfd5fba

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

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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 2026-08-15T06:32:42.880941+00:00.

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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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-04T23:34:24.476189Z digest=sha256:31c8f061c1d50e80cfaa18c7d122639ff59a55749ec125c4060dee998d9949c3

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:24.550895Z digest=sha256:18a4f9d6d5e742008499a8b9fd2408782b0f30a4bf68976d6e83e0101c827259

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:24.631571Z digest=sha256:657669cb2f842e1610677ff1f531f8f3ed169dc9ce57f4f88a0bad8d67fb1fab

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:34:24.706167Z digest=sha256:42c89cd4a6399a1b65e8ae267405322b16857374971e1a87f24804067b4a1535

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

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

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Unavailable: canonical work link unavailable.

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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

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

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.