Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T00:41:12.605274Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2607.14962.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-02T00:41:12.605274Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
63 of 63 outbound references displayed
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Observation 569ee3a7-2bf9-46e0-b837-c33b7b552229 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Consistency-diversity-realism Pareto fronts of conditional image generative models
Reference 1
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Observation 7d26e924-7fdd-4fd7-946e-d04ebfb37e24 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation The best of N worlds: Aligning reinforcement learning with best-of-N sampling via max@k optimisation.arXiv preprint arXiv:2510.23393, 2025
Reference 2
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Observation 6dbbaf3f-abfe-4fd6-8cd8-dd72242ce49b · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Vector Policy Optimization: Training for Diversity Improves Test-Time Search
Reference 3
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Observation b7311ce4-cb29-4b31-8e50-63955e6b841a · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Qwen2.5-VL Technical Report
Reference 4
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Observation badcd5a8-bc19-48dd-9688-7b7344c73393 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
Reference 5
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Observation 62f855ec-16f5-4735-a3ce-57e646de96c9 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Training diffusion models with reinforcement learning
Reference 6
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Observation 0c20ee32-9ca1-490f-8f1b-0322f29db8f7 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation SEGA: Instructing text-to-image models using semantic guidance
Reference 7
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Observation 3cbf7845-bfda-463a-9ac2-a873e4e1218e · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
Reference 8
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Observation eed9be49-730e-4f4f-8e26-a1da0f51c7d8 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation TIBET: Identifying and evaluating biases in text-to-image generative models
Reference 9
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Observation fd0cc5f1-d2aa-4b60-a01b-b2eb0b9f9444 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Inference-aware fine-tuning for best-of-n sampling in large language models.arXiv preprint arXiv:2412.15287, 2024
Reference 10
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Observation c7165b64-9106-4070-9251-e8a30c3b829e · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Debiasing Vision-Language Models via Biased Prompts
Reference 11
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Observation 38b569cd-0078-44c2-a6e6-4a6d8abe8474 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation OpenBias: Open-set bias detection in text-to-image generative models
Reference 12
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Observation 90c5914b-b939-4393-bd7c-e4b684633e51 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Scaling rectified flow transformers for high-resolution image synthesis
Reference 13
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Observation ddb27611-5b72-4a2b-bac2-897d4009c88d · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation DPOK: Reinforcement learning for fine-tuning text-to-image diffusion models
Reference 14
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Observation 3c9651ac-24b0-4253-bc3a-94c29f1f306b · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Reference 15
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Observation da91c3c7-2659-4af8-91f4-b6c97dc0cf8b · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation FairImagen: Post- processing for bias mitigation in text-to-image models
Reference 16
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Observation f7b880c9-7001-4b37-bcca-39b6c3193b86 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback
Reference 17
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Observation 3149b138-104b-4a52-b9f1-cbb0718bc99b · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Unified concept editing in diffusion models
Reference 18
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Observation f00ee3cd-ecd5-47ae-b844-71a294de6562 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning
Reference 19
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Observation 020db60b-35ba-45bd-9967-7daf77b9f646 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Polychromic objectives for reinforcement learning
Reference 20
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Observation 5aa290b9-9b70-42dd-8d0d-7e8220f21cef · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation TempFlow-GRPO: When Timing Matters for GRPO in Flow Models
Reference 21
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Observation 49fafe22-6b62-49ed-a2cc-2da025729424 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Reference 22
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Observation 1e78e774-80aa-4405-836c-8059598e90bd · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation FairGen: Enhancing fairness in text-to-image diffusion models via self-discovering latent directions.arXiv preprint arXiv:2412.18810, 2024
Reference 23
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Observation 78838bea-cd1e-4f7d-aa32-9eb7400ea55b · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation FairFace: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Reference 24
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Observation 1b98a6db-d775-4a7b-b363-37f8757dd418 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Rethinking training for de-biasing text-to-image generation: Unlocking the potential of stable diffusion
Reference 25
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Observation ecae609f-eeff-4e44-98df-fb10d3eaec18 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Pick-a-Pic: An open dataset of user preferences for text-to-image generation
Reference 26
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Observation 95189d68-7248-40db-8a92-200f1f05fc54 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Emergence of exploration in policy gradient reinforcement learning via resetting
Reference 27
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Observation 5e72bcb7-1640-4ad8-a53a-87498f3da14f · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Improved precision and recall metric for assessing generative models
Reference 28
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Observation 1ab7d50b-32f1-4b0f-8792-8d377c397003 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Holistic evaluation of text-to-image models
Reference 29
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Observation d410701a-f8da-4728-aa45-a184037b381a · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation SetPO: Set-level policy optimization for diversity-preserving LLM reasoning
Reference 30
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Observation 4b7add92-3928-48b7-890d-161f66c19520 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Fair text-to-image diffusion via fair mapping
Reference 31
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Observation a964ee23-6e0a-4e5b-be4b-63a9f1fa8859 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation DiverseGRPO: Mitigating mode collapse in image generation via diversity-aware GRPO.arXiv preprint arXiv:2512.21514, 2025
Reference 32
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Observation 8b575eda-5613-4e9b-9eb6-c45d16613aca · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Flow-GRPO: Training flow matching models via online RL
Reference 33
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Observation c4d889dd-e52b-4b4e-82db-d6bc56dbf0f7 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Improving video generation with human feedback
Reference 34
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Observation b613b1bf-43e1-47fc-92aa-7b2f4673c058 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Beyond the Dirac Delta: Mitigating diversity collapse in reinforcement fine-tuning for versatile image generation.arXiv preprint arXiv:2601.12401, 2026
Reference 35
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Observation 8c8ec63c-b297-425d-a09e-59593ac35a11 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Stable bias: Evaluating societal representations in diffusion models
Reference 36
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Observation 5628b4ff-29c0-46f2-a9ea-7e830cefaa8b · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Training diffusion models towards diverse image generation with reinforcement learning
Reference 37
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Observation 956c240d-ac93-40ca-9bfb-6c9d3bcb2811 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Reliable fidelity and diversity metrics for generative models
Reference 38
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Observation 98fbfd37-543b-4703-916f-ca483b3488e8 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Retry Policy Gradients in Continuous Action Spaces
Reference 39
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Observation 3f06b6f3-348d-4473-9602-e638dd50a9ab · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
Reference 40
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Observation ce1d8d97-b08d-4084-b613-8308d7161789 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Diversity-aware max@k optimization for improving best-of-N performance in image generation with diffusion models (in Japanese)
Reference 41
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Observation bd6a6272-880d-4332-a414-dc436b678a0d · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Inference-time text-to-video alignment with diffusion latent beam search
Reference 42
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Observation 52efdac7-f5e6-4d8e-aa48-766f4ba67354 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation MultiBanana: A challenging benchmark for multi-reference text-to-image generation
Reference 43
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Observation 5596e674-6524-4b44-8d7b-15cc3fd2caea · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Balancing act: Distribution-guided debiasing in diffusion models
Reference 44
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Observation 61c207e2-3e47-44ae-a1b7-dae906663094 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient Estimation
Reference 45
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Observation 2ee8dd5a-d3e2-41e9-9c6d-493c763a4fd0 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Escaping the mode: Multi-answer reinforcement learning in LMs
Reference 46
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Observation a407128f-6f22-4bdb-9148-3ceeb21bc320 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation From scale to speed: Adaptive test-time scaling for image editing
Reference 47
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Observation 29f0f96d-26a1-4413-840b-acc6c83eb4ff · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Learning transferable visual models from natural language supervision
Reference 48
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Observation 21b08dd3-e390-4521-b26c-6613d2fe8f62 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation High-resolution image synthesis with latent diffusion models
Reference 49
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Observation 9b3a6574-b01c-40cc-8c6b-79122fbcf827 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Unresolved cited work
Reference 50
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Observation 9f10100a-1356-40e4-9979-57777235438c · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Unresolved cited work
Reference 51
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Observation f4a61204-a395-43f6-9f89-da15f0ea4b5f · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 52
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Observation 16d91b2e-c927-4d36-8ddc-dc6809a22eff · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Finetuning text-to-image diffusion models for fairness
Reference 53
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Observation d3a013a1-75d5-4f88-a672-5f78cae46762 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation On Advantage Estimates for Max@K Policy Gradients
Reference 54
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Observation 90ddcec2-26b5-47db-b4da-ea82bb118978 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Finite-Time Regret Analysis of Retry-Aware Bandits
Reference 55
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Observation 18167a3c-1c8f-4e50-9ed5-81008fded9d4 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Beyond the prompt: Gender bias in text-to-image models, with a case study on hospital professions.arXiv preprint arXiv:2510.00045, 2025
Reference 56
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Observation 1a402d90-111e-4717-95c6-8f29f4a440f4 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
Reference 57
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Observation 39af284b-761a-4af8-84d1-f12370095706 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Diffusion model alignment using direct preference optimization
Reference 58
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Observation 99a15030-df7d-4c09-b32d-139e4a24111f · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation RewardDance: Reward Scaling in Visual Generation
Reference 59
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Observation e68a2686-f2c6-4ee4-b14c-b9d9d13acff1 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation ImageReward: Learning and evaluating human preferences for text-to-image generation
Reference 60
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Observation 7a91fd58-a628-4ebf-ba52-da95886e125f · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation DanceGRPO: Unleashing GRPO on Visual Generation
Reference 61
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Observation 1391ca56-142d-400f-a972-89dd5b4d7b44 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation ITI-GEN: Inclusive text-to-image generation
Reference 62
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Observation 08f4c5d8-6bb3-4181-94f6-4d654eb75c57 · outbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation a photo of the face of a person
Reference 63
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No inbound Pith citation observations are available.