Paper Citation Record · LEDGER

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 3 inbound Pith citation observations for arXiv:2505.21101.

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

pith.paper-citation-record.v1
2505.21101 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:59.788963Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:55:19.819371Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:57.050284Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation eddc5413-adf8-43a4-a44b-8573866c2e96 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Align your latents: High-resolution video synthesis with latent diffusion models

Reference 1

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Observation 9fbaae7e-beee-4ce1-9e04-d80fe5d9c63f · outbound

This paper cites Classifier-Free Guidance is a Predictor-Corrector.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Classifier-Free Guidance is a Predictor-Corrector

Reference 2

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Observation d3a2f9ea-c6a4-4542-912f-edc791aaea9b · outbound

This paper cites Muse: Text-to-image generation via masked generative transformers.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Muse: Text-to-image generation via masked generative transformers

Reference 3

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Observation c0915ce6-3188-496f-b650-1169dd226160 · outbound

This paper cites What does guidance do? a fine-grained analysis in a simple setting.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance What does guidance do? a fine-grained analysis in a simple setting

Reference 4

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Observation 38026fc8-773a-4924-93ca-673e49622aa7 · outbound

This paper cites CFG++: Manifold-constrained classifier free guidance for diffusion models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance CFG++: Manifold-constrained classifier free guidance for diffusion models

Reference 5

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Observation ea8fc154-d4ff-42b9-aaed-e2ba660c0760 · outbound

This paper cites Guidance: a cheat code for diffusion models, 2022.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Guidance: a cheat code for diffusion models, 2022

Reference 6

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Observation 0e4352ef-70f7-40dc-bcb5-0089ffc33ff1 · outbound

This paper cites Sequential Monte Carlo methods in practice, volume 1.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Sequential Monte Carlo methods in practice, volume 1

Reference 7

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Observation 981881b1-1019-4c81-a683-ecde847d80e0 · outbound

This paper cites Gibbs sampling.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Gibbs sampling

Reference 8

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Observation f97cbf72-37dd-4ad8-b7c6-57a0e435601e · outbound

This paper cites Cnn architectures for large-scale audio classification.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Cnn architectures for large-scale audio classification

Reference 9

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Observation a31577e7-dadf-40af-85ce-82c5ca072068 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 10

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Observation 29fd37dc-4af8-47df-a146-287a806ce55b · outbound

This paper cites Denoising diffusion probabilistic models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Denoising diffusion probabilistic models

Reference 11

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Observation ace34850-e381-46ca-95cc-aa404d1a1bd3 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Classifier-Free Diffusion Guidance

Reference 12

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Observation 5394c1b1-fcaa-408e-aa83-ba491d4df202 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Elucidating the design space of diffusion-based generative models

Reference 13

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Observation 09cfe8ae-838a-444c-9304-a691d4f317f1 · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Guiding a diffusion model with a bad version of itself

Reference 14

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This paper cites Analyzing and improving the training dynamics of diffusion models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Analyzing and improving the training dynamics of diffusion models

Reference 15

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Observation de834d13-c577-4680-9829-15e14fd75995 · outbound

This paper cites Audiocaps: Generat- ing captions for audios in the wild.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Audiocaps: Generat- ing captions for audios in the wild

Reference 16

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Observation 147bd2a7-615d-44d1-b924-05921bac26e8 · outbound

This paper cites Panns: Large-scale pretrained audio neural networks for audio pattern recognition.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Panns: Large-scale pretrained audio neural networks for audio pattern recognition

Reference 17

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Observation 1c37b669-b266-41b1-a9b3-b05ef1f2271f · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 18

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Observation 82722cff-c93c-47d4-b33f-c5c9d9d06f67 · outbound

This paper cites Applying guidance in a limited interval improves sample and distribution quality in diffusion models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Applying guidance in a limited interval improves sample and distribution quality in diffusion models

Reference 19

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Observation cb02f833-8b13-4deb-ac07-5ed03b994a83 · outbound

This paper cites Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo

Reference 20

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Observation 24b6462b-425a-45a6-a323-b18d92f7f130 · outbound

This paper cites Self-guidance: Boosting flow and diffusion generation on their own.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Self-guidance: Boosting flow and diffusion generation on their own

Reference 21

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This paper cites Audioldm 2: Learning holistic audio generation with self-supervised pretraining.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Audioldm 2: Learning holistic audio generation with self-supervised pretraining

Reference 22

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Observation e24ced35-5391-44b6-be20-6d91082db647 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 23

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Observation fdbb7044-fe16-4eb7-b2bb-f3ee8b998faa · outbound

This paper cites Markov chains and stochastic stability.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Markov chains and stochastic stability

Reference 24

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This paper cites Reliable fidelity and diversity metrics for generative models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Reliable fidelity and diversity metrics for generative models

Reference 25

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance DINOv2: Learning Robust Visual Features without Supervision

Reference 26

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Observation ec51dfe9-27da-4004-b7e9-4c054eee6d94 · outbound

This paper cites Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms

Reference 27

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This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 28

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Language models are unsupervised multitask learners

Reference 29

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Unresolved cited work

Reference 30

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This paper cites High- resolution image synthesis with latent diffusion models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance High- resolution image synthesis with latent diffusion models

Reference 31

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Unresolved cited work

Reference 32

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Unresolved cited work

Reference 33

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This paper cites Optimal transport for applied mathematicians, volume 87.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Optimal transport for applied mathematicians, volume 87

Reference 34

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This paper cites Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Reference 35

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 36

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Denoising diffusion implicit models

Reference 37

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Generative modeling by estimating gradients of the data distribution

Reference 38

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Score-based generative modeling through stochastic differential equations

Reference 39

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This paper cites Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models.

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Reference 40

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Re- thinking the inception architecture for computer vision

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Rényi divergence and kullback-leibler divergence

Reference 42

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Analysis of classifier-free guidance weight schedulers

Reference 43

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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance number of

Reference 44

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Pith citing papers

Observation 55242afc-fb62-47d3-b5e0-0d2d95fe0277 · inbound

Provable Diffusion Posterior Sampling for Bayesian Inversion cites this paper.

Provable Diffusion Posterior Sampling for Bayesian Inversion Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance

Reference 105

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Information-Theoretic Classifier-Free Guidance with Adaptive Schedule Optimization cites this paper.

Information-Theoretic Classifier-Free Guidance with Adaptive Schedule Optimization Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance

Reference 22

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Observation 8739bb6b-217e-4a38-b626-ece8950bd974 · inbound

Signed Rectified Flow: Negativity-Controlled Generation cites this paper.

Signed Rectified Flow: Negativity-Controlled Generation Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance

Reference 43

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