Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:03:30.136822Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2502.04646.
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 2026-08-08T22:03:30.136822Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fccddec4-abdb-4ba2-9d6f-5df7a2a940d0 · outbound
Efficient Weighted Sampling via Score-based Generative Models Denoising diffusion probabilistic models,
Reference 1
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Observation 1eeb847a-0e3e-4364-b822-d8268984f02c · outbound
Efficient Weighted Sampling via Score-based Generative Models Denoising diffusion implicit models,
Reference 2
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Observation e49c0b7f-40c3-4a5e-af8a-10541ddb3f1f · outbound
Efficient Weighted Sampling via Score-based Generative Models Score-based gener- ative modeling through stochastic differential equations,
Reference 3
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Efficient Weighted Sampling via Score-based Generative Models Diffusion models beat GANs on image synthesis,
Reference 4
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Efficient Weighted Sampling via Score-based Generative Models Zero-shot text-to-image generation,
Reference 5
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Efficient Weighted Sampling via Score-based Generative Models Diffwave: A versatile diffusion model for audio synthesis,
Reference 6
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Efficient Weighted Sampling via Score-based Generative Models WaveGrad: Estimating gradients for waveform generation,
Reference 7
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Observation a7c6cc87-783a-4d11-ad11-900251281c3e · outbound
Efficient Weighted Sampling via Score-based Generative Models Generating high dimensional user-specific wireless channels using diffusion models
Reference 8
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Observation 45cafdfb-0862-43fd-9d53-1df422cd539d · outbound
Efficient Weighted Sampling via Score-based Generative Models A denoising diffusion probabilistic model-based digital twinning of isac mimo channel,
Reference 9
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Observation 6b6490fb-f002-41e2-aeac-af19a2b6f448 · outbound
Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work
Reference 10
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Observation 0c86a1e3-503d-4d8f-9caa-e113bb536e10 · outbound
Efficient Weighted Sampling via Score-based Generative Models What is the effect of importance weighting in deep learning?,
Reference 11
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Observation 21d615cc-c9d6-4b6e-af55-a066ba8eb0e1 · outbound
Efficient Weighted Sampling via Score-based Generative Models Learning bounds for importance weighting,
Reference 12
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Efficient Weighted Sampling via Score-based Generative Models Data preprocessing techniques for classification without discrimination,
Reference 13
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Observation d0616ac5-260f-4209-bffb-79b1c80fecd5 · outbound
Efficient Weighted Sampling via Score-based Generative Models Glide: Towards photorealistic image generation and editing with text-guided diffusion models,
Reference 14
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Observation 4d91eda9-c999-4496-9944-e9604c75217e · outbound
Efficient Weighted Sampling via Score-based Generative Models Sdxl: Improving latent diffusion models for high-resolution image synthesis,
Reference 15
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Observation 5afb8af2-ff99-46f2-8667-a7a3b266aee3 · outbound
Efficient Weighted Sampling via Score-based Generative Models Refining generative process with discriminator guidance in score-based diffusion models,
Reference 16
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Observation 9a5d570c-8c81-4286-8a58-6386b7bc625b · outbound
Efficient Weighted Sampling via Score-based Generative Models Beyond first-order tweedie: Solving inverse problems using latent diffusion,
Reference 17
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Observation f40ad855-95d0-4785-a861-c363f9095a9c · outbound
Efficient Weighted Sampling via Score-based Generative Models Solving linear inverse problems provably via posterior sampling with latent diffusion models,
Reference 18
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Observation 799bff21-8e50-4c46-948a-9ed5f4c7a788 · outbound
Efficient Weighted Sampling via Score-based Generative Models Diffusion posterior sampling for general noisy inverse problems,
Reference 19
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Efficient Weighted Sampling via Score-based Generative Models Score-based diffusion meets annealed importance sampling,
Reference 20
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Efficient Weighted Sampling via Score-based Generative Models Reverse-time diffusion equation models,
Reference 21
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Observation 7112850a-ba79-452a-9b85-c516a953a2bb · outbound
Efficient Weighted Sampling via Score-based Generative Models Repaint: Inpainting using denoising diffusion probabilistic models,
Reference 22
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Efficient Weighted Sampling via Score-based Generative Models Improved denoising diffusion probabilistic models,
Reference 23
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Efficient Weighted Sampling via Score-based Generative Models ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
Reference 24
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Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work
Reference 25
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Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work
Reference 26
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Observation 6ce7f6ec-2dd7-430f-8067-6a416310f7b5 · outbound
Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work
Reference 27
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Observation de2bba09-3e6e-4569-a374-6c92361c2550 · outbound
Efficient Weighted Sampling via Score-based Generative Models Tweedie’s formula and selection bias,
Reference 28
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Observation 8b3f36dd-7f06-45da-9f2d-d0fd812e8a0b · outbound
Efficient Weighted Sampling via Score-based Generative Models Noise2score: tweedie’s approach to self-supervised image denoising without clean images,
Reference 29
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Observation 98557059-4bee-47c9-85c3-f0646b8f928d · outbound
Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work
Reference 30
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Observation 8372f7f3-ff3a-41e6-867a-592a6c57c8b4 · outbound
Efficient Weighted Sampling via Score-based Generative Models Würstchen: An efficient architecture for large-scale text-to-image diffusion models,
Reference 31
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Efficient Weighted Sampling via Score-based Generative Models High-resolution image synthesis with latent diffusion models,
Reference 32
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Efficient Weighted Sampling via Score-based Generative Models Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions,
Reference 33
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Observation fb192727-6195-4512-8e67-3fdc6a6e17df · outbound
Efficient Weighted Sampling via Score-based Generative Models Convergence of denoising diffusion models under the manifold hypothesis,
Reference 34
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Efficient Weighted Sampling via Score-based Generative Models Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions,
Reference 35
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Reference 36
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Observation d5e6ff64-724d-4877-86c5-9cedb34b13e3 · outbound
Efficient Weighted Sampling via Score-based Generative Models Thecross-entropymethodforoptimization,
Reference 37
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Efficient Weighted Sampling via Score-based Generative Models Scalable reversible generative models with free-form continuous dynamics,
Reference 38
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Reference 39
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Reference 40
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Efficient Weighted Sampling via Score-based Generative Models Made: Masked autoencoder for distribution estimation,
Reference 41
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Efficient Weighted Sampling via Score-based Generative Models Masked autoregressive flow for density estimation,
Reference 42
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Efficient Weighted Sampling via Score-based Generative Models Neural importance sampling,
Reference 43
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Reference 44
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Efficient Weighted Sampling via Score-based Generative Models Cubic-spline flows,
Reference 45
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Observation 7a851171-0b4f-47c4-ab24-1dc27c648106 · outbound
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Reference 46
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Reference 48
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Reference 49
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Reference 50
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Efficient Weighted Sampling via Score-based Generative Models Quadriga: A 3-d multi-cell channel model with time evolution for enabling virtual field trials,
Reference 51
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Reference 52
Source-reported events for the cited work
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Reference 53
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Reference 54
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Reference 55
Source-reported events for the cited work
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No inbound Pith citation observations are available.