Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:33:15.025940Z
Paper Citation Record · LEDGER
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models
As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 3 inbound Pith citation observations for arXiv:2604.11934.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-01T05:50:10.243231Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T09:49:44.526565Z
Reference resolution
53 of 53 outbound references displayed
- verified exact17
- verified fuzzy34
- unresolved0
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- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 74fcd935-08f9-4679-8961-5cc00f6ed4b1 · outbound
This paper cites Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.595344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1cb66b23-1979-463d-b62f-598f6f59f683 · outbound
This paper cites T2ibias: Uncovering societal bias encoded in the latent space of text-to-image generative models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models T2ibias: Uncovering societal bias encoded in the latent space of text-to-image generative models
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.612716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation deac33e3-2c54-4db0-8441-64081c5ef7aa · outbound
This paper cites FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.603342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation aecc512d-311e-46fb-bbfb-c7ca32e5ff67 · outbound
This paper cites Easily accessible text-to-image generation amplifies demographic stereotypes at large scale.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.610680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5e67fb4c-34db-44e7-a627-8e3b24c3350a · outbound
This paper cites Dall-eval: Probing the reasoning skills and social biases of text-to-image generation models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Dall-eval: Probing the reasoning skills and social biases of text-to-image generation models
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.604412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 03ced15d-dda4-4beb-b11a-cdd923f48068 · outbound
This paper cites Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.606481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 57174511-c3fb-448e-876e-0fd71bcad8cd · outbound
This paper cites How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.502391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eaca4ffa-45e1-4303-b643-92574b064235 · outbound
This paper cites TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.522825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8b623c58-f461-4e3e-9295-1ffdedd5d075 · outbound
This paper cites T2isafety: Benchmark for assessing fairness, toxicity, and privacy in image generation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models T2isafety: Benchmark for assessing fairness, toxicity, and privacy in image generation
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.608474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f7022ee9-5015-4b37-b735-0c05661636b7 · outbound
This paper cites Friedrich, K.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Friedrich, K
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.600112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9575bd38-b29e-47c1-8cb3-b76ac48284f5 · outbound
This paper cites VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:21:00.614747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2daf7ccf-8096-426d-92f8-b02b2ab19239 · outbound
This paper cites Autodebias: Automated framework for debiasing text-to-image models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Autodebias: Automated framework for debiasing text-to-image models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.658972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 86419106-2d9b-4092-adad-1b3d401f8b01 · outbound
This paper cites Bias and ignorance in demo- graphic perception.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Bias and ignorance in demo- graphic perception
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.602204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 004b10f1-aec3-4174-8aaa-3f4c7c8380e1 · outbound
This paper cites Discrimination, bias, fairness, and trust- worthy ai.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Discrimination, bias, fairness, and trust- worthy ai
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.597915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0b93dedd-848e-4f18-bae6-eea4f786768b · outbound
This paper cites Stereotypes and prejudice: Their automatic and con- trolled components.Journal of personality and social psychology.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Stereotypes and prejudice: Their automatic and con- trolled components.Journal of personality and social psychology
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.545653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d970d919-97f5-41e7-8604-1ea0ec9534bf · outbound
This paper cites A survey on bias and fairness in machine learning.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models A survey on bias and fairness in machine learning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.550451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e74ea2e4-43ec-46d2-ac23-36da4267756b · outbound
This paper cites A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.645817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e7c5a8f9-08ff-4e69-a8e7-baeccb9303b9 · outbound
This paper cites Man is to computer programmer as woman is to homemaker? debiasing word embeddings,NeurIPS.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Man is to computer programmer as woman is to homemaker? debiasing word embeddings,NeurIPS
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.576432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d010515f-4765-4fc1-a0f4-a58133422426 · outbound
This paper cites Six lessons for a cogent science of implicit bias and its criticismPerspectives on Psychological Science.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Six lessons for a cogent science of implicit bias and its criticismPerspectives on Psychological Science
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.590619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ab70b70b-ff0b-4e6b-9e59-4f6fd5258826 · outbound
This paper cites Bridging the editing gap in LLMs: FineEdit for precise and targeted text modifications.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Bridging the editing gap in LLMs: FineEdit for precise and targeted text modifications
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.595818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4719a855-bbb5-4bf1-b759-4faf8c1669c8 · outbound
This paper cites Full-Time, Year-Round Workers & Median Earnings by Sex & Occupation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Full-Time, Year-Round Workers & Median Earnings by Sex & Occupation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.567197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4278747e-8467-455c-834f-4e580829d1db · outbound
This paper cites Racial categories in machine learning.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Racial categories in machine learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.538006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cfcedaf1-2569-49ad-bee7-7fe79e14b443 · outbound
This paper cites Deep learning face attributes in the wild.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Deep learning face attributes in the wild
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.559938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 47abf05e-1a54-42cc-bf0f-d0e9bd61f48e · outbound
This paper cites Revisions to omb’s statistical policy directive no. 15: standards for maintaining, collecting, and presenting federal data on race and ethnicity.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Revisions to omb’s statistical policy directive no. 15: standards for maintaining, collecting, and presenting federal data on race and ethnicity
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.543173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 85e0fba5-6590-4f8c-9bc0-330a263d7373 · outbound
This paper cites World population prospects 2022: Summary of results.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models World population prospects 2022: Summary of results
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.592825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 356ae7ea-cf60-4f45-a751-0beb2c2cd09d · outbound
This paper cites Employed persons by detailed oc- cupation and age : U.S. Bureau of Labor Statistics — bls.gov.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Employed persons by detailed oc- cupation and age : U.S. Bureau of Labor Statistics — bls.gov
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.586679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ef5ef185-de70-4ea7-a625-53fc52d046cf · outbound
This paper cites Cross-national variation in occupational sex segregation American Sociological Review.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Cross-national variation in occupational sex segregation American Sociological Review
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.588749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 61ca3391-4319-4735-bd91-c45fdca89726 · outbound
This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T20:58:59.653229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 39975da4-1a6f-4e15-9090-36add6d3fbf8 · outbound
This paper cites Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.569654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 332ac8b2-f834-45a3-b8b7-dea3248c2002 · outbound
This paper cites Optical flow training under limited label budget via active learning.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Optical flow training under limited label budget via active learning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.584371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1981fc8d-81d6-42c7-a69a-e538002abf20 · outbound
This paper cites From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e91a6c0a-4623-41fb-8fd3-c5c4cc0a4fba · outbound
This paper cites Dynamicner: A dynamic, multilingual, and fine-grained dataset for llm-based named entity recognition.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Dynamicner: A dynamic, multilingual, and fine-grained dataset for llm-based named entity recognition
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.574355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 718d7770-9bff-4f81-934d-05f9181782e9 · outbound
This paper cites Taco: Enhancing multimodal in-context learning via task mapping-guided sequence configuration.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Taco: Enhancing multimodal in-context learning via task mapping-guided sequence configuration
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.582392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c2582461-9771-43e0-9ed5-e6fa26772d65 · outbound
This paper cites Agentauditor: Human-level safety and security evaluation for llm agents.arXiv preprint arXiv:2506.00641.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Agentauditor: Human-level safety and security evaluation for llm agents.arXiv preprint arXiv:2506.00641
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.566857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fff46cac-b3a0-4f59-a6b4-4c8951bf82c3 · outbound
This paper cites Enhancing counterfactual ex- planations with feasibility and diversity.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Enhancing counterfactual ex- planations with feasibility and diversity
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.562229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 23ef1da1-e258-4e5a-a546-ff2d9e992707 · outbound
This paper cites Learning transferable visual models from natural language supervision.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Learning transferable visual models from natural language supervision
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.572091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9f8a01e7-b38e-41ec-b7ec-946fddd6539b · outbound
This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.564685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8a647392-ca93-4122-8941-6ba49bfb5437 · outbound
This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:00:53.610624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 40ce4a1d-827b-40fe-814f-f82d9bcd346a · outbound
This paper cites Deep residual learning for image recognition.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Deep residual learning for image recognition
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.540490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c0127ea3-b2aa-432a-92a4-2df108b8377b · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models High- resolution image synthesis with latent diffusion models
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.557718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 907565a5-54bd-45b0-ad3f-ef25eba9e187 · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:21:00.634724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d6720a59-fd62-446b-acb9-535ddd380c4b · outbound
This paper cites Adversarial Diffusion Distillation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Adversarial Diffusion Distillation
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.627400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4304edde-69f9-42f9-b93f-2dd94ba8b167 · outbound
This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models SDXL-Lightning: Progressive Adversarial Diffusion Distillation
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T05:08:49.084339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c1ffbc4f-8d26-41c3-8755-b9eee41e7bd5 · outbound
This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:15:55.027720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3da6f15e-deb5-4bd2-9cde-70ed7e28b979 · outbound
This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.664118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b40b1655-e0c8-46fd-a4ac-fc225958c68e · outbound
This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:40:06.446550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ed69514b-25ae-4246-8741-6f75eb5cd4a3 · outbound
This paper cites W¨urstchen: An efficient architecture for large-scale text-to-image dif- fusion models.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models W¨urstchen: An efficient architecture for large-scale text-to-image dif- fusion models
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.555076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 75bd10d1-c2e0-4113-8970-61f4102da136 · outbound
This paper cites Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:21:00.668876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2b3a2e03-5ea6-449d-a1ed-e433c4882b73 · outbound
This paper cites Precisedebias: An automatic prompt engineering approach for generative ai to mitigate image demographic biases.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Precisedebias: An automatic prompt engineering approach for generative ai to mitigate image demographic biases
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.578523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a989b91b-5354-4129-8bef-e4623abf5252 · outbound
This paper cites Finetuning text-to-image diffusion models for fairnessarXiv e-prints.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Finetuning text-to-image diffusion models for fairnessarXiv e-prints
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.580443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dcb89522-9aca-4ad9-80fd-4410ccb21d3f · outbound
This paper cites Livingstone and A.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models Livingstone and A
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.547790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3ee57da8-bf7e-44d9-8892-2fe57bd09ea5 · outbound
This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T20:38:53.511834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b353868f-aac6-48d9-aa5b-5ad4b015bd04 · outbound
This paper cites On distillation of guided diffusion models inProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models On distillation of guided diffusion models inProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T20:15:11.552715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation df485027-b49c-4f40-8344-9fc3ae388d5f · inbound
SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks cites this paper.
SafetyRepro: Configuration-Conditional Rank Instability on Alignment Benchmarks BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:54:00.984272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 55956da4-049a-4342-a38b-cc9b95c1d3d2 · inbound
Chains That See, Answers That Don't: A Multi-Aspect Evaluation Recipe for Forced Chain-of-Thought on Video-MME cites this paper.
Chains That See, Answers That Don't: A Multi-Aspect Evaluation Recipe for Forced Chain-of-Thought on Video-MME BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T09:49:44.527760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 56073481-b74d-45ee-b534-a7dc7445ce2f · inbound
Probe Choice Changes Canary-Memorization Verdicts: Three Post-Hoc Disagreement Case Studies in a Text-Dominant LoRA-Tuned Autoregressive Testbed cites this paper.
Probe Choice Changes Canary-Memorization Verdicts: Three Post-Hoc Disagreement Case Studies in a Text-Dominant LoRA-Tuned Autoregressive Testbed BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T10:05:41.337228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.