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Paper Citation Record · LEDGER

Efficient Weighted Sampling via Score-based Generative Models

As of 21 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

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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

Reference 27

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

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Efficient Weighted Sampling via Score-based Generative Models Tweedie’s formula and selection bias,

Reference 28

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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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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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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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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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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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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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:29.999944Z digest=sha256:e68814bdbcd51f98e76cc4355b2a0efcf202b1871d6cb27ef1238bf4a4c26669

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.003178Z digest=sha256:8398d5c5ac7e7166abcce591132c98ebd859575994278ec05d2d95f252746266

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.006595Z digest=sha256:4b56e400828a4463f3da3eba4722067d98314865af8443c814292652ed92822a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.009837Z digest=sha256:d85d7cafe428150693ff5fe669d787939937d92fbd6ef35a71745cba95ac3947

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:b006dd43dd8afc133ecc9a53b0c3a0e3b4a108804ce730098a4de1ed73d0fd51

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.016332Z digest=sha256:a98bf4fb945fb36b8f0c082c82bda86b86d7faff5ccade9628c2ce5e3aca22e8

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=sha256:0bec65a4e85af7cb1524184c853be3f0aa84b50c737b555ff79c34c1b0bf9d48

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.023756Z digest=sha256:cd979498213b23dfd36b13f50c0d61306e0c8e89f132ecd8cacd3951a367be38

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=sha256:869063866433991cf2b108810059a4c41cdd08c99f4694e9d266efbe5639fca5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.040525Z digest=sha256:6e0a453965dff54898254abfcccb952de2baed830fcb3ea077285b7490a828d5

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.053319Z digest=sha256:51e60e931c405fbdd3cf74f9097d4704b9861391af50bf82536b5573857b522c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.059402Z digest=sha256:a15b0521f69a8fdf9303117fbdcc26ebe526670fa025dd274cb31341845e4b75

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.065415Z digest=sha256:08324ce22a0fb42194a8d58810766b1273c225ac4100ae9d5c5cc747d6827b8f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.069320Z digest=sha256:3a0105b9424e38cf2e1102c2162e3e9bc046135d4329fa2d52a3f2580c97bd13

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 2026-08-21T06:32:19.484+00:00.

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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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.082018Z digest=sha256:1846a314ca93e5eb01a16c1f7fec91db6f2376cc60c76aa240c43a60e80e8880

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.099974Z digest=sha256:8b773307f8cfeccc5fab18ac967fc231cafb18b1e0617b4ffa55aca452a6a28b

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=sha256:4deb05eaff8d1eee7d9ea823240ea2acded347791db13a82f36574d57be2d1f6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.111530Z digest=sha256:9703b60e2d70753ffb501829ff59f4178969db051116310c12ff44f7cc424291

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T22:03:30.136822Z digest=sha256:6f79bb697af06429688ded7dc1def231f861c140d38cdb42af38cee47d883404

Pith citing papers

No inbound Pith citation observations are available.