Paper Citation Record · LEDGER

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2512.00807.

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pith.paper-citation-record.v1
2512.00807 v2

Coverage vector

measured 46 of 46 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Outbound references

Observation 44395928-46d0-4d71-805c-8ddd71737374 · outbound

This paper cites GPT-4 Technical Report.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models GPT-4 Technical Report

Reference 1

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Observation 60c27666-ce50-4d37-8187-9a73d72143da · outbound

This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments

Reference 2

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Observation fe471476-29de-4e4c-9f6b-976ff19d7e21 · outbound

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

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models A prompt array keeps the bias away: Debiasing vision-language models with ad- versarial learning

Reference 3

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Observation 29ac01e1-37b9-4ef2-bc1d-95238c1fd16c · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models In- structpix2pix: Learning to follow image editing instructions

Reference 4

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Observation 10119c34-1e33-4ddd-b6fd-03daae232c64 · outbound

This paper cites Dall-eval: Probing the reasoning skills and social biases of text-to- image generation models.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Dall-eval: Probing the reasoning skills and social biases of text-to- image generation models

Reference 5

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Observation 8b0a39f5-ab6a-4d93-bb9c-5f001184d79d · outbound

This paper cites Debiasing Vision-Language Models via Biased Prompts.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Debiasing Vision-Language Models via Biased Prompts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.532736Z

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Observation a758c204-7a97-4d5f-9965-2226b36ffbf9 · outbound

This paper cites The llama 3 herd of models.arXiv e-prints, pages arXiv–2407,.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models The llama 3 herd of models.arXiv e-prints, pages arXiv–2407,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.536010Z

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Observation 0a839c8a-9eb9-49df-840e-77697dd46247 · outbound

This paper cites Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.539095Z

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Observation 582391f9-c7a3-4e51-a66d-0eb8d09a04b4 · outbound

This paper cites Fairimagen: Post-processing for bias mitigation in text-to-image models.arXiv preprint arXiv:2510.21363, 2025.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Fairimagen: Post-processing for bias mitigation in text-to-image models.arXiv preprint arXiv:2510.21363, 2025

Reference 9

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Observation 51c87e8c-6f97-47a5-8186-c949d0694630 · outbound

This paper cites Bias and fairness in large language models: A survey.Computational Linguistics, 50 (3):1097–1179, 2024.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Bias and fairness in large language models: A survey.Computational Linguistics, 50 (3):1097–1179, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.545639Z

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Observation 9b6c1f73-1f10-4b74-90b0-35f8ec225686 · outbound

This paper cites Unified concept editing in diffusion models.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Unified concept editing in diffusion models

Reference 11

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Observation 3ec12e0e-4a7a-47ca-b2f7-5dc1d3b5640a · outbound

This paper cites The Capacity for Moral Self-Correction in Large Language Models.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models The Capacity for Moral Self-Correction in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.551987Z

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Observation 413ba00c-e790-4b63-8197-30bd0a49c0a0 · outbound

This paper cites Bendvlm: Test-time debiasing of vision-language em- beddings.Advances in Neural Information Processing Sys- tems, 37:62480–62502, 2024.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Bendvlm: Test-time debiasing of vision-language em- beddings.Advances in Neural Information Processing Sys- tems, 37:62480–62502, 2024

Reference 13

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Observation 2f96d2c2-4f45-48f4-b345-c7bd06677691 · outbound

This paper cites Women also snowboard: Over- coming bias in captioning models.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Women also snowboard: Over- coming bias in captioning models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.559114Z

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Observation 2066aebf-5863-4102-ae48-9713ea7fc491 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.561985Z

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Observation 1a5c68bc-e541-456f-91e4-3fd0df9984ec · outbound

This paper cites Quantify- ing societal bias amplification in image captioning.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Quantify- ing societal bias amplification in image captioning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.564899Z

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Observation 5df2e07b-f2bf-4ba7-a111-f3e0c738d722 · outbound

This paper cites Model- agnostic gender debiased image captioning.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Model- agnostic gender debiased image captioning

Reference 17

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Observation 79c6ff15-2423-4196-b609-8e243a28f6f8 · outbound

This paper cites Social- counterfactuals: Probing and mitigating intersectional social biases in vision-language models with counterfactual exam- ples.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Social- counterfactuals: Probing and mitigating intersectional social biases in vision-language models with counterfactual exam- ples

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.570683Z

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Observation 1c6a6369-cfaf-4e1f-96e5-2266a3dee7ae · outbound

This paper cites A unified debi- asing approach for vision-language models across modalities and tasks.Advances in Neural Information Processing Sys- tems, 37:21034–21058, 2024.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models A unified debi- asing approach for vision-language models across modalities and tasks.Advances in Neural Information Processing Sys- tems, 37:21034–21058, 2024

Reference 19

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Observation 043c0a39-c523-4a6d-9a89-d7be5a1ea3e6 · outbound

This paper cites De-stereotyping text-to-image models through prompt tun- ing.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models De-stereotyping text-to-image models through prompt tun- ing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.575979Z

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Observation 904f957e-9195-4fcd-9dd2-60212875446b · outbound

This paper cites Self-discovering interpretable diffusion latent di- rections for responsible text-to-image generation.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Self-discovering interpretable diffusion latent di- rections for responsible text-to-image generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.578602Z

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Observation 645fdd8d-f820-43cb-8e9c-9a8eb2cc327d · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with 9 frozen image encoders and large language models.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Blip-2: Bootstrapping language-image pre-training with 9 frozen image encoders and large language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T19:25:20.581045Z

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Observation 8ae02d5a-4257-4c62-abb4-a18a47779486 · outbound

This paper cites Fair text-to-image diffusion via fair mapping.Proceedings of the AAAI Conference on Artificial Intelligence, 39(25):26256–26264, 2025.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Fair text-to-image diffusion via fair mapping.Proceedings of the AAAI Conference on Artificial Intelligence, 39(25):26256–26264, 2025

Reference 23

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Observation deb080c7-a0bf-487b-8643-4ed8cde707be · outbound

This paper cites Towards understanding and mitigating social biases in language models.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Towards understanding and mitigating social biases in language models

Reference 24

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This paper cites Microsoft coco: Common objects in context.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Microsoft coco: Common objects in context

Reference 25

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Observation 32ee42fd-68cb-428a-902c-56d982518dc8 · outbound

This paper cites Intrinsic self-correction for enhanced morality: An anal- ysis of internal mechanisms and the superficial hypothesis.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Intrinsic self-correction for enhanced morality: An anal- ysis of internal mechanisms and the superficial hypothesis

Reference 26

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Observation 873b27d7-8515-424f-97c6-9f615ef5a0b9 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 27

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Observation c8fe5c01-5b0a-4855-99df-3822b3bdb780 · outbound

This paper cites Improved baselines with visual instruction tuning.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Improved baselines with visual instruction tuning

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This paper cites Llavanext: Improved reasoning, ocr, and world knowledge, 2024.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Llavanext: Improved reasoning, ocr, and world knowledge, 2024

Reference 29

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Observation f4d3e220-716d-424a-bc5a-f44e1015df0e · outbound

This paper cites 3D Transformer based on deformable patch location for differential diagnosis between Alzheimer's disease and Frontotemporal dementia.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models 3D Transformer based on deformable patch location for differential diagnosis between Alzheimer's disease and Frontotemporal dementia

Reference 30

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models StereoSet: Measuring stereotypical bias in pretrained language models

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This paper cites Bias in the picture: Benchmarking vlms with social-cue news images and llm-as-judge assessment.arXiv preprint arXiv:2509.19659, 2025.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Bias in the picture: Benchmarking vlms with social-cue news images and llm-as-judge assessment.arXiv preprint arXiv:2509.19659, 2025

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Springer, 2006

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Gpt-5 system card

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Unresolved cited work

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This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models BBQ: A Hand-Built Bias Benchmark for Question Answering

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models High-resolution image synthesis with latent diffusion models

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This paper cites FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Dear: Debiasing vision-language models with additive residuals

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This paper cites Supervised Algorithmic Fairness in Distribution Shifts: A Survey.

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Supervised Algorithmic Fairness in Distribution Shifts: A Survey

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Finetuning Text-to-Image Diffusion Models for Fairness

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Iti- gen: Inclusive text-to-image generation

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Under- standing and evaluating racial biases in image captioning

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models Men also like shopping: Reducing gen- der bias amplification using corpus-level constraints

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BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

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