Paper Citation Record · LEDGER

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2502.04670.

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

pith.paper-citation-record.v1
2502.04670 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:01:57.662410Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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

44 of 44 outbound references displayed

verified exact1
verified fuzzy21
unresolved22
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45f83aa0-5433-407c-832c-0dca8a59ee71 · outbound

This paper cites Exploring low-dimensional subspace in diffusion models for controllable image editing.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Exploring low-dimensional subspace in diffusion models for controllable image editing

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.459491Z

Source-reported events for the cited work

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Observation 1f971f30-7b3b-426f-93a5-61824580e16c · outbound

This paper cites Learning general Gaussian mixtures with efficient score matching.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Learning general Gaussian mixtures with efficient score matching

Reference 2

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Source-reported events for the cited work

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Observation c72b6bf6-0aab-4708-ade1-f91dff67460e · outbound

This paper cites Exploring low-dimensional subspace in diffusion models for controllable image editing.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Exploring low-dimensional subspace in diffusion models for controllable image editing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.444498Z

Source-reported events for the cited work

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Observation e56b833c-7c7e-4983-b9c3-bfec6c8e09ec · outbound

This paper cites Ilvr: Conditioning method for denoising diffusion probabilistic models.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Ilvr: Conditioning method for denoising diffusion probabilistic models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.428117Z

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Observation 5fcbe69e-6198-4a57-9bad-c9382eff52b0 · outbound

This paper cites Functional map of the world.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Functional map of the world

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.412673Z

Source-reported events for the cited work

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Observation f1df7f24-b602-4b41-a3c1-07152d828496 · outbound

This paper cites T., Klasky, M.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation T., Klasky, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.391345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3a810cc-3947-4484-b522-be745b2e19f0 · outbound

This paper cites an unresolved cited work.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:02:13.374801Z

Source-reported events for the cited work

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Observation f97ab555-dd65-4363-a66e-99a29c1eec2a · outbound

This paper cites an unresolved cited work.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation 5b3adff6-6731-4a76-83d5-f300996b6e04 · outbound

This paper cites Prompt-tuning latent diffusion models for inverse problems.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Prompt-tuning latent diffusion models for inverse problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.490936Z

Source-reported events for the cited work

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Observation f37c964f-a379-4b44-a489-1c7e915e3b54 · outbound

This paper cites Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.338187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0d35159-e9d9-469a-b810-195beb7b2f26 · outbound

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

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Convergence of denoising diffusion models under the manifold hypothesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.319369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 333c9e72-08bf-4a7c-b54d-5c990ad9574b · outbound

This paper cites and Nichol, A.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation and Nichol, A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.303292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6be00c2-f050-49a5-a055-4105d49ff778 · outbound

This paper cites and Nichol, A.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation and Nichol, A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.285843Z

Source-reported events for the cited work

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Observation f04efb18-237a-4fa4-ac18-b37af73f499a · outbound

This paper cites Differential privacy.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Differential privacy

Reference 14

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Source-reported events for the cited work

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Observation 1affc3c2-93a0-4232-82ba-5281723db908 · outbound

This paper cites Diffusion self-guidance for controllable image generation.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Diffusion self-guidance for controllable image generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.258516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 18f9a165-f426-420f-b017-285abcd15137 · outbound

This paper cites Learning Mixtures of Gaussians Using Diffusion Models.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Learning Mixtures of Gaussians Using Diffusion Models

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa6eafde-2860-445b-b628-8ce205f49d1a · outbound

This paper cites Initno: Boosting text-to-image diffusion models via initial noise optimization.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Initno: Boosting text-to-image diffusion models via initial noise optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.531757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c84eb92c-3371-4b32-9097-43f1e556e68a · outbound

This paper cites Ordinary differential equations.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Ordinary differential equations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.232957Z

Source-reported events for the cited work

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Observation 5fc52f79-fea4-4058-bdc3-b586a3ef88af · outbound

This paper cites Z., Salakhutdinov, R., et al.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Z., Salakhutdinov, R., et al

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3b8ea8a-bf3a-493d-a15e-45b03c7340d2 · outbound

This paper cites Y., Bae, H., and Chun, S.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Y., Bae, H., and Chun, S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.198497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1383864d-3ef8-4944-9e8c-0ca64fa4041f · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 21

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Source-reported events for the cited work

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Observation f79ccd7f-7ceb-4094-bf7f-92800ba01369 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Musiq: Multi-scale image quality transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.557424Z

Source-reported events for the cited work

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Observation 61de1342-5851-4848-b707-7e14ea1cdabe · outbound

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

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Diffwave: A versatile diffusion model for audio synthesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.169968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c1db12a-caf2-4b74-b1ae-5e7f5ec2ad9c · outbound

This paper cites Learning multiple layers of features from tiny images.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Learning multiple layers of features from tiny images

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.566730Z

Source-reported events for the cited work

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Observation 44c4b857-56e5-40b3-8a1c-008169db6890 · outbound

This paper cites Solving Video Inverse Problems Using Image Diffusion Models.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Solving Video Inverse Problems Using Image Diffusion Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-08T22:02:12.840342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ae5e6a7-ce67-4d7d-a1e9-1944e7aa8b2e · outbound

This paper cites Drag your noise: Interactive point-based editing via diffusion semantic propagation.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Drag your noise: Interactive point-based editing via diffusion semantic propagation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.142297Z

Source-reported events for the cited work

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Observation 10f94be1-3124-4db2-a1e5-914d67d33fdb · outbound

This paper cites S., Agarwal, S., Rout, L., Shakkottai, S., and Chinchali, S.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation S., Agarwal, S., Rout, L., Shakkottai, S., and Chinchali, S

Reference 27

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Source-reported events for the cited work

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Observation 0680e25e-2ef5-4c22-9997-0a47369d3b87 · outbound

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CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Unresolved cited work

Reference 28

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Source-reported events for the cited work

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Observation 6fafebca-a4ab-493f-9515-ab5b794db18c · outbound

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

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation High-resolution image synthesis with latent diffusion models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.590434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d739e5e-776a-473b-92a9-093b80d41f36 · outbound

This paper cites Improved techniques for training gans.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Improved techniques for training gans

Reference 30

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Source-reported events for the cited work

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Observation 59de9eb8-ce0a-4af0-961b-cb528ed3e99a · outbound

This paper cites Animating rotation with quaternion curves.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Animating rotation with quaternion curves

Reference 31

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Source-reported events for the cited work

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Observation f166322c-07b5-44b6-88cd-378bf971cfad · outbound

This paper cites M., Zhang, Z., Hu, X., Qu, Q., and Shen, L.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation M., Zhang, Z., Hu, X., Qu, Q., and Shen, L

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.080613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d526ca70-a47d-4fda-ae8a-6ea2a883d6f6 · outbound

This paper cites Denoising Diffusion Implicit Models.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Denoising Diffusion Implicit Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.609695Z

Source-reported events for the cited work

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Observation 39d1eca2-2fcf-4112-985b-11be5aca2cf8 · outbound

This paper cites Denoising diffusion implicit models.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Denoising diffusion implicit models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.614909Z

Source-reported events for the cited work

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Observation 05085490-34b2-4d52-807d-840c45e5feaf · outbound

This paper cites Loss-guided diffusion models for plug-and-play controllable generation.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Loss-guided diffusion models for plug-and-play controllable generation

Reference 35

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Source-reported events for the cited work

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Observation 39bfa28b-bef6-415b-8b5a-b46d771d788a · outbound

This paper cites and Ermon, S.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation and Ermon, S

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.624939Z

Source-reported events for the cited work

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Observation 773a72ff-b1df-439c-9cd0-66cddb6b4fac · outbound

This paper cites C., and Loy, C.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation C., and Loy, C

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:13.025828Z

Source-reported events for the cited work

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Observation 16c5cbae-0a3a-47d8-9895-b96405549980 · outbound

This paper cites Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:57.634345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c997c91-cd46-499e-b74b-3719b6670480 · outbound

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CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:02:13.002304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39441215-af03-439e-a6be-750b53de0547 · outbound

This paper cites Tedigan: Text-guided diverse face image generation and manipulation.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Tedigan: Text-guided diverse face image generation and manipulation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:12.985283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02cb8b0b-f1db-4cc9-a2bb-250a113488da · outbound

This paper cites On the robustness of diffusion inversion in image manipulation.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation On the robustness of diffusion inversion in image manipulation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:12.968615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ddd48e45-872a-43df-be25-f55a4aa823c6 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Adding conditional control to text-to-image diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:12.950258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f35e01d5-ece5-457f-9494-67b75088b4c0 · outbound

This paper cites Noisediffusion: Correcting noise for image interpolation with diffusion models beyond spherical linear interpolation.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Noisediffusion: Correcting noise for image interpolation with diffusion models beyond spherical linear interpolation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:02:12.933198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1bf6e3ab-7bc2-4ac2-86e2-b58556243aa4 · outbound

This paper cites write newline.

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation write newline

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.