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Paper Citation Record · LEDGER

Efficient Weighted Sampling via Score-based Generative Models

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.

pith.paper-citation-record.v1
2502.04646 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

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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

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation fccddec4-abdb-4ba2-9d6f-5df7a2a940d0 · outbound

This paper cites Denoising diffusion probabilistic models,.

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

This paper cites Denoising diffusion implicit models,.

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

This paper cites Score-based gener- ative modeling through stochastic differential equations,.

Efficient Weighted Sampling via Score-based Generative Models Score-based gener- ative modeling through stochastic differential equations,

Reference 3

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Observation 0199b625-7bff-4d61-ab58-c058da25ff12 · outbound

This paper cites Diffusion models beat GANs on image synthesis,.

Efficient Weighted Sampling via Score-based Generative Models Diffusion models beat GANs on image synthesis,

Reference 4

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Observation f98567a0-3de6-4d9c-952f-df80391cb72d · outbound

This paper cites Zero-shot text-to-image generation,.

Efficient Weighted Sampling via Score-based Generative Models Zero-shot text-to-image generation,

Reference 5

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Source-reported events for the cited work

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Observation 095aaeae-8f0a-43a1-9dc0-d62dfc6671ae · outbound

This paper cites Diffwave: A versatile diffusion model for audio synthesis,.

Efficient Weighted Sampling via Score-based Generative Models Diffwave: A versatile diffusion model for audio synthesis,

Reference 6

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Observation a34b67ed-4dab-4c1a-930b-a5bb73a14f83 · outbound

This paper cites WaveGrad: Estimating gradients for waveform generation,.

Efficient Weighted Sampling via Score-based Generative Models WaveGrad: Estimating gradients for waveform generation,

Reference 7

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Source-reported events for the cited work

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Observation a7c6cc87-783a-4d11-ad11-900251281c3e · outbound

This paper cites Generating high dimensional user-specific wireless channels using diffusion models.

Efficient Weighted Sampling via Score-based Generative Models Generating high dimensional user-specific wireless channels using diffusion models

Reference 8

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Source-reported events for the cited work

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Observation 45cafdfb-0862-43fd-9d53-1df422cd539d · outbound

This paper cites A denoising diffusion probabilistic model-based digital twinning of isac mimo channel,.

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

This paper cites an unresolved cited work.

Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work

Reference 10

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Observation 0c86a1e3-503d-4d8f-9caa-e113bb536e10 · outbound

This paper cites What is the effect of importance weighting in deep learning?,.

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

This paper cites Learning bounds for importance weighting,.

Efficient Weighted Sampling via Score-based Generative Models Learning bounds for importance weighting,

Reference 12

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Observation 04dd64f7-2b99-416a-968e-7b11ec33e5cd · outbound

This paper cites Data preprocessing techniques for classification without discrimination,.

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

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models,.

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

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis,.

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

This paper cites Refining generative process with discriminator guidance in score-based diffusion models,.

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

This paper cites Beyond first-order tweedie: Solving inverse problems using latent diffusion,.

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

This paper cites Solving linear inverse problems provably via posterior sampling with latent diffusion models,.

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

This paper cites Diffusion posterior sampling for general noisy inverse problems,.

Efficient Weighted Sampling via Score-based Generative Models Diffusion posterior sampling for general noisy inverse problems,

Reference 19

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Observation da9d94e3-fa65-499d-8f18-1be19e554ec5 · outbound

This paper cites Score-based diffusion meets annealed importance sampling,.

Efficient Weighted Sampling via Score-based Generative Models Score-based diffusion meets annealed importance sampling,

Reference 20

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Observation a21b105f-cc37-4692-b00e-b51e5683cdb7 · outbound

This paper cites Reverse-time diffusion equation models,.

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

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Efficient Weighted Sampling via Score-based Generative Models Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 22

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Observation 9cfb10f0-10b4-406e-86cb-04d0250cefa6 · outbound

This paper cites Improved denoising diffusion probabilistic models,.

Efficient Weighted Sampling via Score-based Generative Models Improved denoising diffusion probabilistic models,

Reference 23

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Observation 8124e34b-0a99-4125-a77c-3016671b6387 · outbound

This paper cites ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.

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

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Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work

Reference 27

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Observation de2bba09-3e6e-4569-a374-6c92361c2550 · outbound

This paper cites Tweedie’s formula and selection bias,.

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

This paper cites Noise2score: tweedie’s approach to self-supervised image denoising without clean images,.

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

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Efficient Weighted Sampling via Score-based Generative Models Unresolved cited work

Reference 30

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Observation 8372f7f3-ff3a-41e6-867a-592a6c57c8b4 · outbound

This paper cites Würstchen: An efficient architecture for large-scale text-to-image diffusion models,.

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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Observation fcb1d901-2a48-4e52-8942-eae363c23749 · outbound

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

Efficient Weighted Sampling via Score-based Generative Models High-resolution image synthesis with latent diffusion models,

Reference 32

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Source-reported events for the cited work

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Observation 6e95e260-e032-42e4-87ce-621c7c253205 · outbound

This paper cites Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions,.

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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Source-reported events for the cited work

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Observation fb192727-6195-4512-8e67-3fdc6a6e17df · outbound

This paper cites Convergence of denoising diffusion models under the manifold hypothesis,.

Efficient Weighted Sampling via Score-based Generative Models Convergence of denoising diffusion models under the manifold hypothesis,

Reference 34

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Source-reported events for the cited work

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Observation 6017d55e-bf91-41a5-92f0-07b376e9f950 · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions,.

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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Source-reported events for the cited work

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Observation d0ee258c-0e63-4b2d-ad81-07848cc42860 · outbound

This paper cites Diffusion schrödinger bridge with applications to score-based generative modeling,.

Efficient Weighted Sampling via Score-based Generative Models Diffusion schrödinger bridge with applications to score-based generative modeling,

Reference 36

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raw_fallback, observed 2026-08-08T22:03:45.424594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d5e6ff64-724d-4877-86c5-9cedb34b13e3 · outbound

This paper cites Thecross-entropymethodforoptimization,.

Efficient Weighted Sampling via Score-based Generative Models Thecross-entropymethodforoptimization,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.414269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.003178Z digest=sha256:29e2369a7c0345f5082a0dbd399584a2c4eb4f3ce6f7fec0013427ff984b760d

Observation cb0760e5-487a-4386-9958-775798b80979 · outbound

This paper cites Scalable reversible generative models with free-form continuous dynamics,.

Efficient Weighted Sampling via Score-based Generative Models Scalable reversible generative models with free-form continuous dynamics,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.404187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.006595Z digest=sha256:011de746d25ff3e4b98adf44904098db8eb9d9eb5436306a46f8b0dc449636ad

Observation e0737501-8057-4424-8a29-53c6512b16bf · outbound

This paper cites Invertible densenets with concatenated lipswish,.

Efficient Weighted Sampling via Score-based Generative Models Invertible densenets with concatenated lipswish,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.394004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.009837Z digest=sha256:4ef9fdf2ab455e5e787a1b2b96fe765f9ba073f705fe87518201f9d2176ddbc4

Observation feff16bf-1eb2-4164-8b98-6fc85810a3df · outbound

This paper cites A new metric for probability distributions,.

Efficient Weighted Sampling via Score-based Generative Models A new metric for probability distributions,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T22:03:30.013054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:03:30.013054Z digest=sha256:8ceafe2857de4572846803059551926c8fdf632ce027fb1c76cde255561101f0

Observation 3083f491-8f26-41eb-8db2-7f4f23146249 · outbound

This paper cites Made: Masked autoencoder for distribution estimation,.

Efficient Weighted Sampling via Score-based Generative Models Made: Masked autoencoder for distribution estimation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.377497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f3dc2af0-1f1f-4c0c-b99d-e19d5d7c7221 · outbound

This paper cites Masked autoregressive flow for density estimation,.

Efficient Weighted Sampling via Score-based Generative Models Masked autoregressive flow for density estimation,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T22:03:30.019950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:03:30.019950Z digest=sha256:440e89221f7c804c275dae8e2bf268302341cfea06fb35b3f3cb986f31dbc613

Observation 537c7c31-8d49-4fc5-b1e2-9756eb3170ad · outbound

This paper cites Neural importance sampling,.

Efficient Weighted Sampling via Score-based Generative Models Neural importance sampling,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.361423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.023756Z digest=sha256:06b2c45c10c7a9837fd02f0faee4319dc2950b5165ea80cb490d28d9c2793b70

Observation c79c6c3a-8799-45f4-b3b3-e76492c1b233 · outbound

This paper cites Neural spline flows,.

Efficient Weighted Sampling via Score-based Generative Models Neural spline flows,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T22:03:30.026727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:03:30.026727Z digest=sha256:f2de0cc939a2d0b6d67553b747fe08b87eb7fdb10bd33ae89b1ec6f4ca454c3a

Observation 3052842e-fb3d-4650-8433-9328ea542c38 · outbound

This paper cites Cubic-spline flows,.

Efficient Weighted Sampling via Score-based Generative Models Cubic-spline flows,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.346034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.040525Z digest=sha256:9e847a07944ba0427c6f6183905fdd45fc6d1a2c50044a6a1042606dca23b84e

Observation 7a851171-0b4f-47c4-ab24-1dc27c648106 · outbound

This paper cites Transformer neural autoregressive flows,.

Efficient Weighted Sampling via Score-based Generative Models Transformer neural autoregressive flows,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.336163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.053319Z digest=sha256:6a400140cbcce0ade19ecb32ea0b6e64ed052a32881d205ade121a8e4c634472

Observation 64f90744-5d12-425c-b610-fd4b5d0e3c3a · outbound

This paper cites An overview of 5g advanced evolution in 3gpp release 18,.

Efficient Weighted Sampling via Score-based Generative Models An overview of 5g advanced evolution in 3gpp release 18,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.326230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.059402Z digest=sha256:34e2734aa6cd55b8eb3a1c3f266a9549f75ea43c734f53014c8742c61ff5119b

Observation 577972b5-4d10-445c-badc-7e2f8ac6e386 · outbound

This paper cites Overview of deep learning-based csi feedback in massive mimo systems,.

Efficient Weighted Sampling via Score-based Generative Models Overview of deep learning-based csi feedback in massive mimo systems,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.315017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.065415Z digest=sha256:a7b0ae7a4ac5ad5a5e442e1f4a6f1dd429971c5b259ea31b724964f266ee5b24

Observation 0c5b8bb8-5dbb-4424-97fd-6363b2d8527b · outbound

This paper cites Digital Twin Aided Massive MIMO: CSI Compression and Feedback,.

Efficient Weighted Sampling via Score-based Generative Models Digital Twin Aided Massive MIMO: CSI Compression and Feedback,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.304520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.069320Z digest=sha256:49f931f8f048862483d06705c7131c9569fca7a31b1d534b88b1c628368eaf05

Observation 295172ea-5ae4-4dcd-a49e-9511ff2ef556 · outbound

This paper cites AI Empowered Wireless Communications: From Bits to Semantics,.

Efficient Weighted Sampling via Score-based Generative Models AI Empowered Wireless Communications: From Bits to Semantics,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.294492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.075444Z digest=sha256:e0740ce4cdd8ebc48759f77fa7e740b1aef6e31feb5836c117c0a914a9d138f7

Observation 9796abcd-6a87-4a3d-a906-c482fcaf06a8 · outbound

This paper cites Quadriga: A 3-d multi-cell channel model with time evolution for enabling virtual field trials,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.284190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.082018Z digest=sha256:d8d6011a6f0cb2c2d8115ce0b00cdb965db259723f492147648db8bcf36bc15f

Observation e3cee529-b7ff-4928-aea0-b6a142e480da · outbound

This paper cites Quadriga - quasi deterministic radio channel generator, user manual and documenta- tion,.

Efficient Weighted Sampling via Score-based Generative Models Quadriga - quasi deterministic radio channel generator, user manual and documenta- tion,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.273714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.099974Z digest=sha256:10939508fcd495d8b92ccf9fbb06f6a7cd86aeee6c91a1cc572f81b8b2c12b5e

Observation b08cdfb3-7a3b-43e0-b0f7-e7d2829d3981 · outbound

This paper cites Deep learning for massive mimo csi feedback,.

Efficient Weighted Sampling via Score-based Generative Models Deep learning for massive mimo csi feedback,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T22:03:30.106870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:03:30.106870Z digest=sha256:4658bd29785195eb1f2fd96375237703948e64810ffa0e4863d1d6c9599fd229

Observation ee4401bf-1354-46f3-b81b-5f524a04322f · outbound

This paper cites Learning variable-rate codes for csi feedback,.

Efficient Weighted Sampling via Score-based Generative Models Learning variable-rate codes for csi feedback,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.256029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.111530Z digest=sha256:058173171da3ed6a71f202e53269e27079435ec4c6bfb41faffe51f5175b8264

Observation 944ea19e-bd87-46e4-876a-d8b36970a538 · outbound

This paper cites Deep learning face attributes in the wild,.

Efficient Weighted Sampling via Score-based Generative Models Deep learning face attributes in the wild,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:03:45.245001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T22:03:30.136822Z digest=sha256:a7be38964711a1fd7be566851c3d6d0def3f4bbd0055757a4b113daed4dc3f2e

Pith citing papers

No inbound Pith citation observations are available.