Paper Citation Record · LEDGER

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2502.06094.

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

pith.paper-citation-record.v1
2502.06094 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:52:00.919444Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

41 of 41 outbound references displayed

verified exact5
verified fuzzy27
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf95cc62-26e3-4412-bc85-d71b1f52c0ab · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.528424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e59ff404-dcd7-484b-ad17-4c5c90dee385 · outbound

This paper cites MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.766698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137a85ae-33e2-404f-bbfc-3384ccebf92d · outbound

This paper cites Beyond bias and discrimination: re- defining the ai ethics principle of fairness in healthcare machine-learning algorithms.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Beyond bias and discrimination: re- defining the ai ethics principle of fairness in healthcare machine-learning algorithms

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.475465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13e38297-da8c-454a-98cd-cfe710599a3d · outbound

This paper cites Eclb: Efficient contrastive learn- ing on bi-level for noisy labels.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Eclb: Efficient contrastive learn- ing on bi-level for noisy labels

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.449565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d591587a-2e55-49c7-bd32-6257362fd8d5 · outbound

This paper cites A visual–language foundation model for pathology im- age analysis using medical twitter.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models A visual–language foundation model for pathology im- age analysis using medical twitter

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.436617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 37b9f081-da2f-4181-b09a-bd29432f5e27 · outbound

This paper cites Jacobs, Michael I.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Jacobs, Michael I

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.423471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 59607e9e-8d0a-40a1-b89d-72ae8cbf18d5 · outbound

This paper cites VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.800189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7fcd4c-2f5c-48de-9efd-d9ee480d4c48 · outbound

This paper cites How fair are medical imaging foundation models? In Machine Learning for Health (ML4H) , pages 217–231.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models How fair are medical imaging foundation models? In Machine Learning for Health (ML4H) , pages 217–231

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.411177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ed55075-f97a-4629-91a0-fd55ef63a4f1 · outbound

This paper cites A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:52:01.119241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 073f154f-4a3c-4477-a1a3-5ba54807f85b · outbound

This paper cites Vpl: Visual proxy learning framework for zero-shot medical image diagnosis.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Vpl: Visual proxy learning framework for zero-shot medical image diagnosis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.398726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81b28f75-fea1-4ef7-b20c-9f07cd26a2c0 · outbound

This paper cites Medcot: Medical chain of thought via hierarchical expert.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Medcot: Medical chain of thought via hierarchical expert

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.386382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 75bfb090-2f05-488c-a2e5-2a9c6989e8cc · outbound

This paper cites KPL: Training-Free Medical Knowledge Mining of Vision-Language Models.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models KPL: Training-Free Medical Knowledge Mining of Vision-Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.819337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704d66f3-6277-4b2d-9f42-19ff2f5e7abd · outbound

This paper cites Biogpt: generative pre-trained transformer for biomedical text generation and mining.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Biogpt: generative pre-trained transformer for biomedical text generation and mining

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.373820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c97c3e4a-95ee-44f9-947c-73b31d7964bf · outbound

This paper cites Fairclip: Harnessing fairness in vision-language learning.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Fairclip: Harnessing fairness in vision-language learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.361562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a344f343-c268-4913-9b18-fb87f67564b1 · outbound

This paper cites A survey on bias and fairness in machine learning.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models A survey on bias and fairness in machine learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.349497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8289ecd6-d8a2-4c27-9d64-ed1c5029d0f4 · outbound

This paper cites Fairness in deep learning: A survey on vision and language research.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Fairness in deep learning: A survey on vision and language research

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.337557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 71400b5c-10b9-486f-ab3c-ad300047f904 · outbound

This paper cites Com- putational optimal transport: With applications to data sci- ence.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Com- putational optimal transport: With applications to data sci- ence

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.324943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3782bc0f-1769-485d-a385-51c956017367 · outbound

This paper cites Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.857258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12c98642-8746-43d9-aa87-7608718eab46 · outbound

This paper cites Scaling vision with sparse mixture of experts.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Scaling vision with sparse mixture of experts

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.297417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a737845-e2ca-41a0-8384-5d849553a589 · outbound

This paper cites Dr-fairness: Dynamic data ratio adjustment for fair training on real and generated data.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Dr-fairness: Dynamic data ratio adjustment for fair training on real and generated data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.283266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d638f87a-6220-4167-bac9-c549f4c43479 · outbound

This paper cites FEAMOE: Fair, Explainable and Adaptive Mixture of Experts.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models FEAMOE: Fair, Explainable and Adaptive Mixture of Experts

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:52:01.038137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2ffbeb5-6b4f-4df3-9792-1c2f26dba193 · outbound

This paper cites Conceptualising fairness: three pillars for medical algorithms and health equity.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Conceptualising fairness: three pillars for medical algorithms and health equity

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.269216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62f71ff4-4a7d-4cd5-9d5d-b4f4a929143a · outbound

This paper cites Fairness-related performance and explainability effects in deep learning models for brain image analysis.Journal of Medical Imag- ing, 9(6):061102–061102,.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Fairness-related performance and explainability effects in deep learning models for brain image analysis.Journal of Medical Imag- ing, 9(6):061102–061102,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.254326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aecda6b9-bc1a-49ff-b037-4ac74017d64d · outbound

This paper cites FairViT: Fair Vision Transformer via Adaptive Masking.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models FairViT: Fair Vision Transformer via Adaptive Masking

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:52:01.016463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e6ccae9-9eb5-4601-bc30-22b154cfcbbf · outbound

This paper cites Tsnet: Integrating dental position prior and symptoms for tooth segmentation from cbct images.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Tsnet: Integrating dental position prior and symptoms for tooth segmentation from cbct images

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.239369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fae3a666-5661-40b4-85ad-0fb69c46654f · outbound

This paper cites Principles of clinical ethics and their application to practice.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Principles of clinical ethics and their application to practice

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.226079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b6262e1-a63e-4795-bf68-b014091e4e23 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.894811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99250710-cf63-4306-97a0-39715e916d1d · outbound

This paper cites Multidisciplinary considerations of fairness in medical ai: A scoping review.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Multidisciplinary considerations of fairness in medical ai: A scoping review

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.212175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 10775e2d-7b37-4f03-a5ce-f34cdf51cd4d · outbound

This paper cites ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.903202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f649bb-bad7-4916-98f6-ebc23df10074 · outbound

This paper cites Addressing fairness issues in deep learning-based medical image analysis: a systematic review.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Addressing fairness issues in deep learning-based medical image analysis: a systematic review

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.198976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2808f99-a5ef-47d4-909e-c33aad89621b · outbound

This paper cites Infrared and visible image fusion via texture conditional generative adversarial network.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Infrared and visible image fusion via texture conditional generative adversarial network

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.184584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19838f86-0920-4cc7-aaa1-6dd0c687f933 · outbound

This paper cites WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.915205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f73593f6-9d2a-4333-b3d1-13c2dad514e3 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.919444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b4aac3-6e5e-4090-a4ed-72ab10cee88f · outbound

This paper cites VisionGPT-3D: A Generalized Multimodal Agent for Enhanced 3D Vision Understanding.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models VisionGPT-3D: A Generalized Multimodal Agent for Enhanced 3D Vision Understanding

Reference 1991

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:52:01.153814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aae3708e-d7bf-466d-b831-75ca72675c2d · outbound

This paper cites Justice: a key consideration in health policy and systems research ethics.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Justice: a key consideration in health policy and systems research ethics

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.311613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9098d0e9-d5e0-4795-b9f7-32b243fc6cd7 · outbound

This paper cites Fairness-aware Vision Transformer via Debiased Self-Attention.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Fairness-aware Vision Transformer via Debiased Self-Attention

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-08T16:52:01.072212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2d0c4ba-dab7-43db-b374-e31e3f195871 · outbound

This paper cites Switch transformers: Scaling to trillion param- eter models with simple and efficient sparsity.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Switch transformers: Scaling to trillion param- eter models with simple and efficient sparsity

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.515512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 28306441-c20e-4965-9d80-5ee074badffc · outbound

This paper cites E ad- dressing fairness in artificial intelligence for medical imag- ing nat.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models E ad- dressing fairness in artificial intelligence for medical imag- ing nat

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.502142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a203f943-e512-419c-b9ac-dca36ff232e5 · outbound

This paper cites Algorithmic encoding of protected characteristics in chest x-ray disease detection models.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Algorithmic encoding of protected characteristics in chest x-ray disease detection models

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.462209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4cd673b-31e7-4bb3-bce8-9921a53343df · outbound

This paper cites Fairmoe: counterfactually-fair mixture of experts with levels of interpretability.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Fairmoe: counterfactually-fair mixture of experts with levels of interpretability

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T16:52:01.489047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5749d065-0f95-430e-a5b0-1835c42de703 · outbound

This paper cites Cross-token Modeling with Conditional Computation.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Cross-token Modeling with Conditional Computation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:00.823371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.