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Paper Citation Record · LEDGER

On Fairness of Unified Multimodal Large Language Model for Image Generation

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2502.03429.

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

pith.paper-citation-record.v1
2502.03429 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:52:40.618432Z

measured 19 of 19 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:50.738220Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:03:52.883913Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b416d928-f42d-4586-8c56-c34eb7bd0c49 · outbound

This paper cites Direct Preference Optimization with an Offset.

On Fairness of Unified Multimodal Large Language Model for Image Generation Direct Preference Optimization with an Offset

Reference 1

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no resolver link, observed 2026-08-09T04:52:40.528456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.528456Z digest=sha256:05e73cc9e8b67a4e923863e06c7662be3951d5715c3ec9ff9ccd51cd6ad3a854

Observation 25027f70-6457-461a-a2c6-307a765f3d08 · outbound

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

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

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.550534Z digest=sha256:bd44cfc1585109fc951a7cc286c3cf2d187e68dd7919fdbc34fdf1b46a1f42d3

Observation ca9eb253-971b-4def-8bf9-fe6c47ca58ab · outbound

This paper cites Unified Concept Editing in Diffusion Models.

On Fairness of Unified Multimodal Large Language Model for Image Generation Unified Concept Editing in Diffusion Models

Reference 7

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no resolver link, observed 2026-08-09T04:52:40.561813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.561813Z digest=sha256:cb496ee1a0157190e13a7b9fc40215dcf59ec2cadbb6c9cebdc65a59dc87feef

Observation 0c83e6d2-00fe-4980-97a5-5d60bdfc3d99 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

On Fairness of Unified Multimodal Large Language Model for Image Generation ORPO: Monolithic Preference Optimization without Reference Model

Reference 8

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no resolver link, observed 2026-08-09T04:52:40.567050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.567050Z digest=sha256:6305e35a24a0826e69eb29a8f6bf0e03aa7e2bfda2c1292944a1256401fc8fec

Observation d77006c9-cbac-4950-a176-42e521c99d85 · outbound

This paper cites One Diffusion to Generate Them All.

On Fairness of Unified Multimodal Large Language Model for Image Generation One Diffusion to Generate Them All

Reference 11

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no resolver link, observed 2026-08-09T04:52:40.582682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.582682Z digest=sha256:b5da14f7c9b7dcddd8c06479e3f5af2eac1570c3d3682887c739887a9a8316f4

Observation e389116f-3b2e-4729-a77e-c34c32e31f75 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

On Fairness of Unified Multimodal Large Language Model for Image Generation SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 12

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unresolved
no resolver link, observed 2026-08-09T04:52:40.587630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.587630Z digest=sha256:21f92a9a7b9381454002da721de003e3096a67d9350d5b438e7a81dcf19e8da0

Observation f58d1c35-48bc-4a52-8b9f-ab0f1a4dfa4d · outbound

This paper cites Training language models to follow instructions with human feedback.

On Fairness of Unified Multimodal Large Language Model for Image Generation Training language models to follow instructions with human feedback

Reference 13

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no resolver link, observed 2026-08-09T04:52:40.592788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.592788Z digest=sha256:f6f0df7471679b82bc815204b748de2b409d214a4f7edf1f8c4eb811f5266605

Observation 996164ff-57dc-495c-91de-c36211141636 · outbound

This paper cites TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation.

On Fairness of Unified Multimodal Large Language Model for Image Generation TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

Reference 14

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no resolver link, observed 2026-08-09T04:52:40.597797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.597797Z digest=sha256:5fbffbf0b13a0a0b0efb4fa2ca62ce8c8297575fbcdbc91642f1b5f7735df270

Observation 2aedfcd5-49e5-436d-a04b-ee4fc2177974 · outbound

This paper cites Finetuning Text-to-Image Diffusion Models for Fairness.

On Fairness of Unified Multimodal Large Language Model for Image Generation Finetuning Text-to-Image Diffusion Models for Fairness

Reference 15

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no resolver link, observed 2026-08-09T04:52:40.603024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.603024Z digest=sha256:3f344e7904a1e26a936ebf8d5bfcfc4f8afff8065b786501a4d0f97daec4fe45

Observation 6215e8b4-6816-4147-b696-97e5f232d049 · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

On Fairness of Unified Multimodal Large Language Model for Image Generation MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 16

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unresolved
no resolver link, observed 2026-08-09T04:52:40.608294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.608294Z digest=sha256:251074f3cdedf0c9c92950784ceccc2958e6ef0f1205b14fdc20d154acbebddb

Observation 91b53b14-580d-4699-ad63-41dbfa53612c · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

On Fairness of Unified Multimodal Large Language Model for Image Generation Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 17

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no resolver link, observed 2026-08-09T04:52:40.613317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.613317Z digest=sha256:cb84052e882091d511dad5a488d0bbd490d5599c58df75588a1f03d8ad2714d1

Observation 4c84a2bd-b28d-4f84-9845-b28c35b557e2 · outbound

This paper cites Since then, numerous new loss functions have been proposed (Meng et al., 2024; Park et al., 2024; Hong et al., 2024; Ethayarajh et al., 2024; Azar et al., 2023).

On Fairness of Unified Multimodal Large Language Model for Image Generation Since then, numerous new loss functions have been proposed (Meng et al., 2024; Park et al., 2024; Hong et al., 2024; Ethayarajh et al., 2024; Azar et al., 2023)

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-09T04:52:40.959245Z

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.

source=pdf_text observed=2026-08-09T04:52:40.618432Z digest=sha256:0f9537df0ef9223c21b7ede413e91b5039b5212cdd77949de7d139f690dc9f60

Observation 97df3d3a-fdd4-4d51-9202-cf1d717778f0 · outbound

This paper cites On Catastrophic Inheritance of Large Foundation Models.

On Fairness of Unified Multimodal Large Language Model for Image Generation On Catastrophic Inheritance of Large Foundation Models

Reference 1952

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no resolver link, observed 2026-08-09T04:52:40.544121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.544121Z digest=sha256:9ebf98956ecbac7a144b599102aedf676d1bc78e922cd542532a6a2cec4a2835

Observation ea0539e9-bf07-4338-b78b-d0d2ff16e7ef · outbound

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

On Fairness of Unified Multimodal Large Language Model for Image Generation FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

Reference 2019

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no resolver link, observed 2026-08-09T04:52:40.577420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.577420Z digest=sha256:1c92b91dd6c80b0ff03e11734bc460ed6b556c11aab9f85bf8d43d1f573f69d8

Observation ddb3cfaa-7a70-45d6-bd2a-48042cc7d6ea · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

On Fairness of Unified Multimodal Large Language Model for Image Generation LoRA: Low-Rank Adaptation of Large Language Models

Reference 2021

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.572048Z digest=sha256:bf3e752a9bdbbd9007c260760b17273905ab4b4b15ea89ceee0da0583db15e88

Observation 9e69ffd9-76d8-46f4-8807-98cc60226fcb · outbound

This paper cites How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?.

On Fairness of Unified Multimodal Large Language Model for Image Generation How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Reference 2022

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no resolver link, observed 2026-08-09T04:52:40.539422Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.539422Z digest=sha256:d2d943cec8ebb50361d1becd1e815e51b2c3bd88e075e5c6b54449d7535a3d19

Observation cf191c35-876d-4119-a643-6416b43f25a9 · outbound

This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

On Fairness of Unified Multimodal Large Language Model for Image Generation A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.534383Z digest=sha256:8c41ed8543df82dc96fe15c911fc48e784aff965a077b663ec69ebbe4a0b6f68

Observation 7b03f625-cba0-465a-9438-3f9e3babde70 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

On Fairness of Unified Multimodal Large Language Model for Image Generation KTO: Model Alignment as Prospect Theoretic Optimization

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:52:40.555926Z digest=sha256:086674b58b9dc45724734b10ec96d552929b2fdf2dd7262afe663ededc3bf723

Pith citing papers

Observation d01e7161-9098-4699-b724-56830656c73f · inbound

Bias Analysis in Unconditional Image Generative Models cites this paper.

Bias Analysis in Unconditional Image Generative Models On Fairness of Unified Multimodal Large Language Model for Image Generation

Reference 27

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verified exact
local_arxiv, observed 2026-08-07T05:03:52.937002Z

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.

source=pdf_text observed=2026-08-07T05:03:50.738220Z digest=sha256:adcfd9a7f53762fb406698b7713b417bbb0b43b8b4c1a3c62e30db28aaf39ab5