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Paper Citation Record · LEDGER

Self-Improving Diffusion Classifiers with Minority Preference Optimization

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.03770.

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

pith.paper-citation-record.v1
2607.03770 v1

Coverage vector

measured 61 of 61 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-12T00:04:25.954963Z

measured 61 of 61 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

61 of 61 outbound references displayed

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Outbound references

Observation dc564704-e1fe-43ec-abb9-964905fc66ce · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Neural Machine Translation by Jointly Learning to Align and Translate

Reference 1

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Observation 24a0cd59-87fa-449b-bb81-12f92fd476aa · outbound

This paper cites arXiv preprint arXiv:2510.05949 (2025).

Self-Improving Diffusion Classifiers with Minority Preference Optimization arXiv preprint arXiv:2510.05949 (2025)

Reference 2

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Observation 09d75394-abcd-426d-b38c-adaa12e3e47d · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Training Diffusion Models with Reinforcement Learning

Reference 3

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Observation 69448d21-a2ef-45f8-aa50-aca739f5b81e · outbound

This paper cites MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models.

Self-Improving Diffusion Classifiers with Minority Preference Optimization MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models

Reference 4

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Observation ca3683cc-ee06-417e-9c47-c40abbc26484 · outbound

This paper cites Robust Classification via a Single Diffusion Model.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Robust Classification via a Single Diffusion Model

Reference 5

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Observation bc5decc9-7fd9-4514-913c-71a01e975ac3 · outbound

This paper cites ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning.

Self-Improving Diffusion Classifiers with Minority Preference Optimization ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning

Reference 6

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Observation 3a763297-92fe-46de-a60b-a8ab7a2c73b2 · outbound

This paper cites arXiv preprint arXiv:2510.12060 (2025).

Self-Improving Diffusion Classifiers with Minority Preference Optimization arXiv preprint arXiv:2510.12060 (2025)

Reference 7

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Observation b3111192-0fdb-442f-aca0-5a6befa37ed1 · outbound

This paper cites In: 2010 IEEE computer society conference on computer vision and pattern recognition.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: 2010 IEEE computer society conference on computer vision and pattern recognition

Reference 8

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Observation 6ac839ab-838d-4047-840e-7fcf03473260 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 9

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Observation 9575d745-c806-4546-9acf-fdab31083d3b · outbound

This paper cites Ad- vances in Neural Information Processing Systems36, 58921–58937 (2023).

Self-Improving Diffusion Classifiers with Minority Preference Optimization Ad- vances in Neural Information Processing Systems36, 58921–58937 (2023)

Reference 10

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Observation 0d0debe3-3e66-446e-a29a-628bc336aa6d · outbound

This paper cites Directly Fine-Tuning Diffusion Models on Differentiable Rewards.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Directly Fine-Tuning Diffusion Models on Differentiable Rewards

Reference 11

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Observation afd77ecc-bf00-4468-ba80-bbb593aa2606 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Self-Improving Diffusion Classifiers with Minority Preference Optimization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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Observation 85868704-acea-4e46-a110-cb281d8ec8b3 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Pro- ceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recogni- tion

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Observation 59be5e9e-7d2a-4793-be08-9d2351334fd8 · outbound

This paper cites In: 2009 IEEE conference on computer vision and pattern recognition.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: 2009 IEEE conference on computer vision and pattern recognition

Reference 14

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Observation cee5c341-7b05-41f3-83f0-c30fc8ead841 · outbound

This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

Self-Improving Diffusion Classifiers with Minority Preference Optimization Advances in neural information processing systems34, 8780–8794 (2021)

Reference 15

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Observation d0c9dd73-4e41-4a5f-af68-446e2ab590fa · outbound

This paper cites In: Forty-first international conference on machine learning (2024).

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Forty-first international conference on machine learning (2024)

Reference 16

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Unresolved cited work

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Observation 1b538bf2-80c4-4fb5-8475-27fd6aaf747c · outbound

This paper cites Advances in Neural Information Processing Sys- tems36, 79858–79885 (2023) MiPO 17.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Advances in Neural Information Processing Sys- tems36, 79858–79885 (2023) MiPO 17

Reference 18

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Observation 589587c0-6ad0-4eed-b5f7-651a04025ef1 · outbound

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Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the IEEE international conference on computer vision

Reference 19

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Observation fe515b8c-bcc4-477b-addf-c05d814e3d6b · outbound

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Self-Improving Diffusion Classifiers with Minority Preference Optimization In: 2004 conference on computer vision and pattern recognition workshop

Reference 20

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Observation af67d6c6-2211-4a01-9785-1892b2ca664c · outbound

This paper cites Proceedings of the International Conference on Learning Representations (2019).

Self-Improving Diffusion Classifiers with Minority Preference Optimization Proceedings of the International Conference on Learning Representations (2019)

Reference 21

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Observation 3feed482-f5c3-4736-b4ce-2dc1e919947e · outbound

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Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the 2021 conference on empirical methods in natural language processing

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Observation e59435b4-072f-4f9c-9ca6-c54e82ad461d · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Self-Improving Diffusion Classifiers with Minority Preference Optimization Advances in neural information processing systems33, 6840–6851 (2020)

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Observation 52604b7d-10c6-4e7d-9fdf-8e46ed884aed · outbound

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Self-Improving Diffusion Classifiers with Minority Preference Optimization ICLR1(2), 3 (2022)

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This paper cites arXiv preprint arXiv:2505.179552(2025).

Self-Improving Diffusion Classifiers with Minority Preference Optimization arXiv preprint arXiv:2505.179552(2025)

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Advances in neural information processing systems36, 36652–36663 (2023)

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Springer Science & Business Media (2012)

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Self-Improving Diffusion Classifiers with Minority Preference Optimization CS 231N7(7), 3 (2015)

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Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 30

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Self-Improving Diffusion Classifiers with Minority Preference Optimization In: The Thirteenth International Conference on Learning Representations (2024)

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Self-Improving Diffusion Classifiers with Minority Preference Optimization In: European conference on computer vision

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Flow Matching for Generative Modeling

Reference 33

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Flow-GRPO: Training Flow Matching Models via Online RL

Reference 34

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

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Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 36

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Ain Shams engineering journal5(4), 1093–1113 (2014)

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Self-Improving Diffusion Classifiers with Minority Preference Optimization Kim et al

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Observation 4b662295-747d-45ac-adf8-7d42bd555a08 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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Observation 2c0b466a-be9e-44db-8594-f7b0b792abbc · outbound

This paper cites International journal of computer vision 77(1), 157–173 (2008).

Self-Improving Diffusion Classifiers with Minority Preference Optimization International journal of computer vision 77(1), 157–173 (2008)

Reference 40

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Observation 0fdab959-28c7-4156-ad56-6bcb53d10813 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 41

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Observation 2f31105e-481c-4de3-99e3-e57ea70739c0 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Self-Improving Diffusion Classifiers with Minority Preference Optimization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 42

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Observation 3a3590e7-cd18-4248-9cb6-e0f3cace2eaa · outbound

This paper cites In: International conference on machine learning.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: International conference on machine learning

Reference 43

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Observation d4948438-b71a-4354-bbc4-2394d6746483 · outbound

This paper cites Denoising Diffusion Implicit Models.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Denoising Diffusion Implicit Models

Reference 44

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Observation de361f20-6646-48b1-86ab-a0c1e42aba46 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 45

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Observation addb74e5-8f0e-43d5-a821-89091eae43fa · outbound

This paper cites Advances in Neural Information Processing Systems 36, 1363–1389 (2023).

Self-Improving Diffusion Classifiers with Minority Preference Optimization Advances in Neural Information Processing Systems 36, 1363–1389 (2023)

Reference 46

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Observation 4468c80b-5621-40b6-be20-ed1f311faf22 · outbound

This paper cites Inference-Time Alignment of Diffusion Models with Direct Noise Optimization.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Inference-Time Alignment of Diffusion Models with Direct Noise Optimization

Reference 47

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Observation 33f0b740-0615-42d4-8e41-638f77c63e2c · outbound

This paper cites In: Forty-second International Conference on Machine Learning (2025),https://openreview.net/forum?id=IH8OwjOGzM.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Forty-second International Conference on Machine Learning (2025),https://openreview.net/forum?id=IH8OwjOGzM

Reference 48

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source=pdf_text observed=2026-07-12T00:04:25.954963Z digest=sha256:19bef74c4e3e4c77b2707d2d5ffe2b8f64f161c6f67358bd66c74a0a861a5c63

Observation 4418e2cf-272f-42f3-bd4e-706786c76f6a · outbound

This paper cites Don't Play Favorites: Minority Guidance for Diffusion Models.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Don't Play Favorites: Minority Guidance for Diffusion Models

Reference 49

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Observation 2ee3f472-0ef5-4407-ab43-d603759bd74d · outbound

This paper cites In: European Conference on Computer Vision.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: European Conference on Computer Vision

Reference 50

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Observation d573cb86-a872-4970-b3e2-229858d47ee2 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 51

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Observation 7416f878-722a-4acc-a834-f0fdc7d31a4d · outbound

This paper cites an unresolved cited work.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Unresolved cited work

Reference 52

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Observation 9fe624f6-b8c4-4c80-a9c9-28e673cd2666 · outbound

This paper cites arXiv preprint arXiv:2508.11330 (2025).

Self-Improving Diffusion Classifiers with Minority Preference Optimization arXiv preprint arXiv:2508.11330 (2025)

Reference 53

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Observation 4e1cc359-ed4a-46cf-9f4f-bd5590e0b8ea · outbound

This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 54

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Observation 0db48952-a698-4bfa-939b-d25a5512eb4c · outbound

This paper cites Video models are zero-shot learners and reasoners.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Video models are zero-shot learners and reasoners

Reference 55

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Observation 90de299a-2250-49da-85c9-e3858278cbf0 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 56

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Observation f9617b31-dfaf-4d66-ac95-dc4c2053c415 · outbound

This paper cites Human Preference Score: Better Aligning Text-to-Image Models with Human Preference.

Self-Improving Diffusion Classifiers with Minority Preference Optimization Human Preference Score: Better Aligning Text-to-Image Models with Human Preference

Reference 57

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Observation b939abc9-e6dc-4f88-9dcf-4c8e08756c09 · outbound

This paper cites Advances in Neural Information Processing Systems36, 15903–15935 (2023).

Self-Improving Diffusion Classifiers with Minority Preference Optimization Advances in Neural Information Processing Systems36, 15903–15935 (2023)

Reference 58

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Observation 31b02758-4a40-4c78-85d4-83bd68c4f59e · outbound

This paper cites DanceGRPO: Unleashing GRPO on Visual Generation.

Self-Improving Diffusion Classifiers with Minority Preference Optimization DanceGRPO: Unleashing GRPO on Visual Generation

Reference 59

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Observation 937adc37-d4b3-4fe4-a47a-26cd9c133661 · outbound

This paper cites Advances in Neural Information Processing Systems37, 73366–73398 (2024).

Self-Improving Diffusion Classifiers with Minority Preference Optimization Advances in Neural Information Processing Systems37, 73366–73398 (2024)

Reference 60

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Observation 945b3d87-e583-4125-86bd-ac784f01674b · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Self-Improving Diffusion Classifiers with Minority Preference Optimization In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 61

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Pith citing papers

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