Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:59.788963Z
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:59.788963Z
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, observed 2026-08-03T17:55:19.819371Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:59:57.050284Z
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation eddc5413-adf8-43a4-a44b-8573866c2e96 · outbound
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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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Muse: Text-to-image generation via masked generative transformers
Reference 3
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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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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance CFG++: Manifold-constrained classifier free guidance for diffusion models
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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Cnn architectures for large-scale audio classification
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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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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Denoising diffusion probabilistic models
Reference 11
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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
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Elucidating the design space of diffusion-based generative models
Reference 13
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Reference 14
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Observation e9954052-5ea7-472d-b253-03e93aee1e15 · outbound
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Analyzing and improving the training dynamics of diffusion models
Reference 15
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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Audiocaps: Generat- ing captions for audios in the wild
Reference 16
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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
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance DiffWave: A Versatile Diffusion Model for Audio Synthesis
Reference 18
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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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Reference 20
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Reference 21
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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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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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Reference 24
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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Reliable fidelity and diversity metrics for generative models
Reference 25
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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance DINOv2: Learning Robust Visual Features without Supervision
Reference 26
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Reference 27
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Observation b9a81b6f-60ab-42b6-8a1a-e98660257471 · outbound
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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Observation 509dce17-0421-4ccf-a6aa-d3e245b92b86 · outbound
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance Language models are unsupervised multitask learners
Reference 29
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Reference 30
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Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance High- resolution image synthesis with latent diffusion models
Reference 31
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Reference 32
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Reference 34
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Reference 37
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Reference 41
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Reference 42
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Reference 43
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Observation e815d009-29d8-42f0-9164-d5cb92adc3af · outbound
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Reference 44
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Observation 55242afc-fb62-47d3-b5e0-0d2d95fe0277 · inbound
Provable Diffusion Posterior Sampling for Bayesian Inversion Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
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Signed Rectified Flow: Negativity-Controlled Generation Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
Reference 43
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