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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-22T06:32:14.747728+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
  • malformed identifier0
  • metadata mismatch0

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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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unresolved
no resolver link, observed 2026-08-08T22:01:57.455219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.455219Z digest=sha256:a90c6c18f3be16213ea9f1925a66c440ab33984552877ac56182a7e516937682

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.465793Z digest=sha256:0e69f55bb1a360d7297017276a99e85e11e3c175e9823454ba6a1b865ad51315

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.470818Z digest=sha256:b0e96a5275a494b67b2855d5e26fd22418a24235dbd12b4a9cf8b45d43a85b60

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

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raw_fallback, observed 2026-08-08T22:02:13.374801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.480388Z digest=sha256:3cdff819675a15d424ae633f44e9fec850fb307f2968768a7b1460705a570d27

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.490936Z digest=sha256:5f421d195cecb58b63d73d5d356f1f3a81325781c035c546c95e131cd6d5f118

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.496034Z digest=sha256:9438de243a47525d07d9340a4980190560bdebb5f69571e570c9c9f395604a56

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.502703Z digest=sha256:79311f55cae6d864529e805770caab6f1fe58712d5b21b680880015d2dde2db8

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.507912Z digest=sha256:a26fcf33892dc1a63e09dd2e3b75ddc9f97cbf48dc861f83e3f640a6bd97a66d

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.512678Z digest=sha256:b5db7415effabb03bc212c7f6d14c9e462676ae5bdafe0e8eb88ae8d80b5176a

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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unresolved
no resolver link, observed 2026-08-08T22:01:57.517307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.517307Z digest=sha256:96457a2c408fc6736356227a308e7529de90420de0fd3700ee97f6814ca42f40

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.521850Z digest=sha256:93984c085089634e967b83b3df516c034372d0c88077d148e64a1246d86bf47f

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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unresolved
no resolver link, observed 2026-08-08T22:01:57.526465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.526465Z digest=sha256:e673cae2f3924f1714088e590c41157d02fdc1c09a5766a7c4b93feee80a3e70

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.531757Z digest=sha256:6939e5763fb3fa737a11534e03fe9a79963743dca0fd465f746dbed2e0b71587

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.536873Z digest=sha256:67e33f87ae963d4579464fd610293654cd1edb72584d0ab62f3ceae9cb4fbaa0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:02:13.216600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.547458Z digest=sha256:48fb0815b3336fdd9a009d7de81d0fa6640dc04850573759a1af5d93d9c27a3e

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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no resolver link, observed 2026-08-08T22:01:57.552310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.552310Z digest=sha256:79ae8cae06538d98929b67af58a39f224bd19b733466c8cda30c57b4023b33d9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.557424Z digest=sha256:6f2af8b9a84063cc9098fa67cb572306d566502acdf5d2033eae0178216359a2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.561872Z digest=sha256:134eb8145150ca738f297bb2ada064ba645f0be73a238e417ede73520bd28665

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.566730Z digest=sha256:86aab5f8c67fa49e483404007673264d9d16009b6e22a09d7c4f6e0a813096a6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.571511Z digest=sha256:d91eb75e068d7c34492a71599eed619d6408d310a15d28fc299773461e23c67c

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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.576356Z digest=sha256:f606033c6da7ac3ed7c1b991d5241c9083688521b194e225dfe8d64b59d41e16

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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no resolver link, observed 2026-08-08T22:01:57.581250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.581250Z digest=sha256:40fac5a7d7dff7d35237e7e425db97a995074387b574fd4327c48a0fa89fa997

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

This paper cites an unresolved cited work.

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

Reference 28

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unresolved
no resolver link, observed 2026-08-08T22:01:57.586148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.586148Z digest=sha256:919d6ab96da1ab23efa0d487435538f7fed65b8edb941965987c9b1e1af439d1

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.

source=arxiv_source observed=2026-08-08T22:01:57.590434Z digest=sha256:3b728cd9f14c413cf820fbff56ff73dec3f66b11f3f75fe45ed4f81cd2d64df6

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

Resolution
unresolved
no resolver link, observed 2026-08-08T22:01:57.595542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.595542Z digest=sha256:be5bc7a180df13401681e096018b8b66b295ac090a6174939df2015f47dcb803

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

Resolution
unresolved
no resolver link, observed 2026-08-08T22:01:57.600343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.600343Z digest=sha256:f3a7fc0a5c4606ae5795a96426a8491667e74b859e937cbf5df9de19efd7a89a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.604927Z digest=sha256:769a2b7331a0efeafc4c5fa5c67864d84bdf0038334fd88b946af3a62edda2f4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.609695Z digest=sha256:f48bd0ec198a10fde668e5d74d250a9fe3f67a7642b45a888ec1b63203bb3b54

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.614909Z digest=sha256:6111544280b33807e80f0cc1c986df8a0e63ee613d3bd58f8537cc0c971ba0a4

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

Resolution
unresolved
no resolver link, observed 2026-08-08T22:01:57.620007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.620007Z digest=sha256:63e088c1fb86a094e328ba8375a431a1184b18ffe756de05f333c7f5a506ef6a

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

Unavailable: canonical work link unavailable.

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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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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.

source=arxiv_source observed=2026-08-08T22:01:57.634345Z digest=sha256:5e29d84c34dd9a78d7da0a8b6e04b699469d5946681144e0cff24b5476b2ffb8

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

This paper cites an unresolved cited work.

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 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.643997Z digest=sha256:f952cd2e9d26650daff9ecf13f38b422e722c5c98b47381df7f853ad4d16b8d9

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.648571Z digest=sha256:cae9a2a83b61ddb92fa1fa807216e2715832c87c5793f9881e5d7cd744740f2f

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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-08T22:01:57.657807Z digest=sha256:f4e2fb14b1500c555ea99b5548876423c77f519608e86434e638c228fd0402f4

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

Resolution
unresolved
no resolver link, observed 2026-08-08T22:01:57.662410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:01:57.662410Z digest=sha256:0ff623c2de665bc06d366b46688356394772ac47333e2e204d655530a3daa94b

Pith citing papers

No inbound Pith citation observations are available.