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Paper Citation Record · LEDGER

Semi-Supervised Conditional Diffusion via Label Augmentation

As of 10 August 2026, this Paper Citation Record lists 100 of 127 outbound references and 0 inbound Pith citation observations for arXiv:2607.16685.

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

pith.paper-citation-record.v1
2607.16685 v1

Coverage vector

measured 100 of 127 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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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

100 of 127 outbound references displayed

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External citation measurements

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Outbound references

Observation eb1c614a-e38b-4d24-aa4e-1ca1cca5f2be · outbound

This paper cites an unresolved cited work.

Semi-Supervised Conditional Diffusion via Label Augmentation Unresolved cited work

Reference 1

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Observation eab2a3df-7542-4392-81b3-779924256b39 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Unresolved cited work

Reference 2

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Observation 1caaaf66-0910-474c-84f5-91e1f5641f56 · outbound

This paper cites 1983 , address =.

Semi-Supervised Conditional Diffusion via Label Augmentation 1983 , address =

Reference 3

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This paper cites Journal of Machine Learning Research , volume=.

Semi-Supervised Conditional Diffusion via Label Augmentation Journal of Machine Learning Research , volume=

Reference 4

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Observation 5c37830a-b1bf-4c40-b82a-bda01b2a7d84 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation arXiv preprint arXiv:2405.05512 , year=

Reference 5

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Observation 42ca50a0-5cfd-453d-9cbc-447cde806e0b · outbound

This paper cites Biometrika , volume =.

Semi-Supervised Conditional Diffusion via Label Augmentation Biometrika , volume =

Reference 6

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Semi-Supervised Conditional Diffusion via Label Augmentation Advances in Neural Information Processing Systems , pages=

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Semi-Supervised Conditional Diffusion via Label Augmentation International Conference on Machine Learning , publisher=

Reference 8

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Observation c1f04f67-162e-47a4-8887-ef5ab85c1f64 · outbound

This paper cites Extracting training data from diffusion models , year =.

Semi-Supervised Conditional Diffusion via Label Augmentation Extracting training data from diffusion models , year =

Reference 9

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Observation a6149c7b-a997-429f-9ecf-1acb7ae119b6 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Few-shot Image Generation with Diffusion Models

Reference 10

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Semi-Supervised Conditional Diffusion via Label Augmentation Few-Shot Diffusion Models

Reference 11

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This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages=.

Semi-Supervised Conditional Diffusion via Label Augmentation Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages=

Reference 12

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Observation c3124bb5-ada6-4260-a43c-e54e64564b07 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation 2022 , publisher=

Reference 13

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Semi-Supervised Conditional Diffusion via Label Augmentation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , publisher=

Reference 14

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Semi-Supervised Conditional Diffusion via Label Augmentation Unresolved cited work

Reference 15

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Semi-Supervised Conditional Diffusion via Label Augmentation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 16

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Observation f558c76a-b4bb-4308-8edd-5056ded4398b · outbound

This paper cites Learning Structured Output Representation using Deep Conditional Generative Models , pages =.

Semi-Supervised Conditional Diffusion via Label Augmentation Learning Structured Output Representation using Deep Conditional Generative Models , pages =

Reference 17

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This paper cites Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics , pages =.

Semi-Supervised Conditional Diffusion via Label Augmentation Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics , pages =

Reference 18

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Semi-Supervised Conditional Diffusion via Label Augmentation 2025 , journal=

Reference 19

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Observation f2021d1d-3ffe-483f-9952-efd8d377227e · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Classifier-Free Diffusion Guidance

Reference 20

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Semi-Supervised Conditional Diffusion via Label Augmentation Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

Reference 21

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Semi-Supervised Conditional Diffusion via Label Augmentation International Conference on Machine Learning , pages=

Reference 22

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Semi-Supervised Conditional Diffusion via Label Augmentation International Conference on Learning Representations , publisher =

Reference 23

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Semi-Supervised Conditional Diffusion via Label Augmentation Estimation of Non-Normalized Statistical Models by Score Matching , volume =

Reference 24

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Semi-Supervised Conditional Diffusion via Label Augmentation Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network , year=

Reference 25

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Semi-Supervised Conditional Diffusion via Label Augmentation High-Resolution Image Synthesis With Latent Diffusion Models , publisher=

Reference 26

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Semi-Supervised Conditional Diffusion via Label Augmentation Diffusion Models Beat

Reference 27

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Semi-Supervised Conditional Diffusion via Label Augmentation Smooth regression analysis , year =

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Semi-Supervised Conditional Diffusion via Label Augmentation On estimating regression , volume =

Reference 29

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Semi-Supervised Conditional Diffusion via Label Augmentation Multivariate kernel smoothing and its applications , publisher =

Reference 30

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Semi-Supervised Conditional Diffusion via Label Augmentation All of nonparametric statistics , year =

Reference 31

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Semi-Supervised Conditional Diffusion via Label Augmentation Finite mixture models , volume =

Reference 32

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Semi-Supervised Conditional Diffusion via Label Augmentation Minimax rate of distribution estimation on unknown submanifolds under adversarial losses , volume =

Reference 33

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Semi-Supervised Conditional Diffusion via Label Augmentation Manifold regularization: A geometric framework for learning from labeled and unlabeled examples

Reference 34

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Semi-Supervised Conditional Diffusion via Label Augmentation Manifold regularization and semi-supervised learning: Some theoretical analyses , volume =

Reference 35

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Semi-Supervised Conditional Diffusion via Label Augmentation Semi-supervised learning on Riemannian manifolds , volume =

Reference 36

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Semi-Supervised Conditional Diffusion via Label Augmentation Minimax Optimal Rates for Regression on Manifolds and Distributions

Reference 37

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Semi-Supervised Conditional Diffusion via Label Augmentation International Conference on Learning Representations , publisher =

Reference 38

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Semi-Supervised Conditional Diffusion via Label Augmentation Deep learning , year =

Reference 39

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Observation a5f99bf0-4fca-4997-93b3-250403092888 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Testing the manifold hypothesis , volume =

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Observation f9bee67a-cecc-4ee9-b9ed-ee03773d33a2 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation arXiv preprint arXiv:2402.01460 , year =

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Observation a2068636-d179-49ba-bd01-988ed4be71f5 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation International Conference on Learning Representations , publisher =

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Observation e01627b4-718f-4de5-8122-cf763f3e27bc · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation K., Nizar Banu , title =

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Observation db3c92e1-b5b4-403f-b490-b93468ddc68b · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Learning Transferable Visual Models From Natural Language Supervision , pages =

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Observation b193343d-9d95-48c0-955b-97c39d250af8 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Wasserstein barycenter and its application to texture mixing , year =

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Observation 3f72054a-30c0-48f3-a60f-84b0e3f33efb · outbound

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Observation b06ad161-32dd-41b2-9e29-5c29f86fd5da · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation On the role of surrogates in the efficient estimation of treatment effects with limited outcome data , volume =

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Observation a6c011aa-3da4-454e-80aa-c01b8758609a · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Statistical analysis with missing data , volume =

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Observation a445134d-4220-4d25-b9ee-3b770023a20b · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Score-based generative modeling through stochastic differential equations , year =

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Observation 6c94c6dc-9a11-4b08-b533-af0886a27c8f · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation On unifying deep generative models , year =

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Observation 2acc64e8-3f53-44d7-a76a-0f9e26e7d722 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Exchangeable random measures , volume =

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Observation 2ab13aed-9e8a-4b66-9297-586f3afd5a8e · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation A deep generative approach to conditional sampling , volume =

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Observation d52e4483-fdb4-4738-8084-461a86239b43 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Learning Manifold Dimensions with Conditional Variational Autoencoders , year =

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Observation bcd677a4-8849-4180-8c8a-aace9c1f210f · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech , year =

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Observation 2c147655-22bf-4418-a43e-721d53d3a6d5 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Generative adversarial network: An overview of theory and applications , volume =

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Observation c77dd443-d170-44d7-834b-48430854fb4f · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Maximum likelihood training of score-based diffusion models , volume =

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Observation c0f906a4-d735-4a5a-889c-3560db576296 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Transactions on Machine Learning Research , issn =

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Observation fa799291-65e6-43fb-a076-ca482494a3c0 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Improved denoising diffusion probabilistic models , year =

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Observation 6188e23c-8dcd-4f7d-ad6e-b89f6a698f08 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Unveil conditional diffusion models with classifier-free guidance: A sharp statistical theory , year =

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Observation cd10fc08-5e62-442f-b642-ebef91ed0308 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Gaussian Interpolation Flows , volume =

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Observation b2de90a0-5ab9-4bff-898f-589f5344490f · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Conditional stochastic interpolation for generative learning , year =

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Observation 94952fa7-b7f3-4a4a-8973-a756e161182a · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Deep conditional generative learning: Model and error analysis , year =

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Observation 7da6747e-c666-42d0-a746-65458001f470 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference , year =

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Observation 061131a8-9a80-49ae-bc19-91d72db86c41 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Generalized category discovery , year =

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Observation 60ea7dd0-11b7-4c44-bf9e-ae5f96b8c597 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Convergence of Continuous Normalizing Flows for Learning Probability Distributions , year =

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Observation 030716b8-33c3-4c3e-a7fa-ad6997f5afe5 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation A connection between score matching and denoising autoencoders , volume =

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Observation 83a58b89-84b1-4eea-83b2-e4c7fa950c32 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation A general class of coefficients of divergence of one distribution from another , volume =

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Observation e55196a6-4145-41d5-9ae8-a658911141a3 · outbound

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Observation 3b6f1ed2-9236-4440-9420-76126838550d · outbound

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Observation ea78f402-7ae8-48c6-b3d2-c4fd5be31426 · outbound

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Observation b7a82082-5c6c-4025-8701-ef5a9f828d99 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning , volume =

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Observation 8dd5cf56-baa5-4ab6-91fd-e83b9a226c30 · outbound

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Observation 8720ea65-0576-4bed-8ffa-4dd3f6e826e0 · outbound

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Observation e70cff16-fd2d-4977-a648-e722fc08843d · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation A note on the evaluation of generative models

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Observation a82f2024-21c4-466d-a0ce-76c41253848c · outbound

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Observation 130467e2-11b6-49f3-bf76-1fb789f73153 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Generative adversarial nets , pages =

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Observation 72fe8ae6-b4a8-4a85-99dd-3290870f40d8 · outbound

This paper cites Generative adversarial networks , volume =.

Semi-Supervised Conditional Diffusion via Label Augmentation Generative adversarial networks , volume =

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Observation 577d2023-d92a-497e-9d8c-55a70214802a · outbound

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Observation dca725b3-aed8-46ee-a586-467c75794442 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Transformers are

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Observation 7eabeeac-dbcc-4f60-a9ea-8dbe33d4602e · outbound

This paper cites Multimodal learning with transformers: A survey , volume =.

Semi-Supervised Conditional Diffusion via Label Augmentation Multimodal learning with transformers: A survey , volume =

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Observation af9cd38b-6387-47be-9e43-1271eb9c005f · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Advances in Neural Information Processing Systems , publisher =

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Semi-Supervised Conditional Diffusion via Label Augmentation Unresolved cited work

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Observation 66abb378-079a-44fb-b7c9-710d6d6b84a1 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Diffusion models are minimax optimal distribution estimators , year =

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Semi-Supervised Conditional Diffusion via Label Augmentation International Conference on Learning Representations , publisher =

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This paper cites Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery , volume =.

Semi-Supervised Conditional Diffusion via Label Augmentation Nonparametric regression on low-dimensional manifolds using deep ReLU networks: Function approximation and statistical recovery , volume =

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Semi-Supervised Conditional Diffusion via Label Augmentation Analysis and geometry of Markov diffusion operators , volume =

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Semi-Supervised Conditional Diffusion via Label Augmentation Normalizing flows for probabilistic modeling and inference , volume =

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Observation ad4a4d62-c124-41b7-a2c6-8fed2614fc79 · outbound

This paper cites Normalizing flows: An introduction and review of current methods , volume =.

Semi-Supervised Conditional Diffusion via Label Augmentation Normalizing flows: An introduction and review of current methods , volume =

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Semi-Supervised Conditional Diffusion via Label Augmentation Prediction-powered inference , volume =

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Semi-Supervised Conditional Diffusion via Label Augmentation High-dimensional semi-supervised learning: in search of optimal inference of the mean , volume =

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Semi-Supervised Conditional Diffusion via Label Augmentation Optimal and safe estimation for high-dimensional semi-supervised learning , volume =

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Semi-Supervised Conditional Diffusion via Label Augmentation A general

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Semi-Supervised Conditional Diffusion via Label Augmentation Semi-supervised linear regression , volume =

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Observation fcbfba39-6830-4fdc-a2d0-b08ab1c2a58d · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Efficient and adaptive linear regression in semi-supervised settings , volume =

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Semi-Supervised Conditional Diffusion via Label Augmentation Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization , year =

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Observation cda219c3-dae2-4ae6-b165-799dbd95294b · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels , year =

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Observation 5ae85a23-ded9-4962-99f7-53e60224a46b · outbound

This paper cites Deep Generative Learning via Euler Particle Transport , year =.

Semi-Supervised Conditional Diffusion via Label Augmentation Deep Generative Learning via Euler Particle Transport , year =

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Observation 0f1bd909-42b6-47f7-9426-9ca1be03e743 · outbound

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Semi-Supervised Conditional Diffusion via Label Augmentation Unresolved cited work

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