Paper Citation Record · LEDGER

Debiasing Vision-Language Models via Biased Prompts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2302.00070.

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

pith.paper-citation-record.v1
2302.00070 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:52:40.550534Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:07:02.411260Z

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0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9695c94a-53d5-4257-b123-3b390a9a65ff · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning Debiasing Vision-Language Models via Biased Prompts

Reference 147

Resolution: verified exact; arxiv_id, observed 2026-05-17T10:58:53.542410Z

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 25027f70-6457-461a-a2c6-307a765f3d08 · inbound

On Fairness of Unified Multimodal Large Language Model for Image Generation cites this paper.

On Fairness of Unified Multimodal Large Language Model for Image Generation Debiasing Vision-Language Models via Biased Prompts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T04:52:40.550534Z

Source-reported events for the cited work

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Observation 4b27ba93-4b41-426a-96d9-68f7549ff904 · inbound

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads cites this paper.

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads Debiasing Vision-Language Models via Biased Prompts

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:07.348798Z

Source-reported events for the cited work

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Observation b24e7b84-8c7d-440e-a6a9-d826bb8491d8 · inbound

A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models cites this paper.

A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models Debiasing Vision-Language Models via Biased Prompts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:52.973850Z

Source-reported events for the cited work

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Observation 632a5265-1b66-44af-9072-7488936a6d77 · inbound

Fairness in Federated Learning: Fairness for Whom? cites this paper.

Fairness in Federated Learning: Fairness for Whom? Debiasing Vision-Language Models via Biased Prompts

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:13.869021Z

Source-reported events for the cited work

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Observation 9c684aa0-0217-49f3-ac9d-fc613a848f56 · inbound

Multi-Group Proportional Representation for Text-to-Image Models cites this paper.

Multi-Group Proportional Representation for Text-to-Image Models Debiasing Vision-Language Models via Biased Prompts

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:32.917011Z

Source-reported events for the cited work

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Observation f25c7346-a933-4797-b802-543e0355b6e4 · inbound

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models cites this paper.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Debiasing Vision-Language Models via Biased Prompts

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T21:38:17.461164Z

Source-reported events for the cited work

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Observation 41b2e77b-f5ff-4f4e-8072-67abc7c7f2aa · inbound

PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection cites this paper.

PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection Debiasing Vision-Language Models via Biased Prompts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:17:06.693913Z

Source-reported events for the cited work

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Observation 99229240-4c84-47ef-891b-d4bfe5577d72 · inbound

Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models cites this paper.

Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models Debiasing Vision-Language Models via Biased Prompts

Reference 9

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Source-reported events for the cited work

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

BioPro: Towards Difference-Aware Gender Fairness for Vision-Language Models cites this paper.

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

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cd62a39-cae7-4e15-89bd-58767a92d7fa · inbound

Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies cites this paper.

Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies Debiasing Vision-Language Models via Biased Prompts

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:36:02.368103Z

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 7ccc2ada-5005-428a-a253-0ff50e08cf8c · inbound

Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models cites this paper.

Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models Debiasing Vision-Language Models via Biased Prompts

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:20:54.836807Z

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 8b65184a-d248-4472-91db-2aa9c9c0e6ab · inbound

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment Debiasing Vision-Language Models via Biased Prompts

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:12.155379Z

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 1639edb0-cfe4-4a6a-8870-0aa846022420 · inbound

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment Debiasing Vision-Language Models via Biased Prompts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T15:32:58.021044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af8f4c7c-abb2-4642-b455-826f6040d005 · inbound

Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales cites this paper.

Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales Debiasing Vision-Language Models via Biased Prompts

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:13:27.243558Z

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 4f10d73e-e132-4b07-9815-ab16632714d2 · inbound

Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs cites this paper.

Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs Debiasing Vision-Language Models via Biased Prompts

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:46:19.916555Z

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 f66e5a08-6592-401d-b86b-f8bb5d6e0220 · inbound

Drift-Augmented Scoring: Text-Derived Noise Robustness for Zero-Shot Audio-Language Classification cites this paper.

Drift-Augmented Scoring: Text-Derived Noise Robustness for Zero-Shot Audio-Language Classification Debiasing Vision-Language Models via Biased Prompts

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T10:16:52.275480Z

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 8bb5b3f9-9b33-43e2-a14e-553359074f90 · inbound

Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment cites this paper.

Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment Debiasing Vision-Language Models via Biased Prompts

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:24:27.117586Z

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 3a826a8b-5452-488f-b06c-54bae72089c3 · inbound

Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization cites this paper.

Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization Debiasing Vision-Language Models via Biased Prompts

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:07:02.412736Z

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 c7165b64-9106-4070-9251-e8a30c3b829e · inbound

Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation cites this paper.

Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Debiasing Vision-Language Models via Biased Prompts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:12.478856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.