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Paper Citation Record · LEDGER

Decoupling Training-Free Guided Diffusion by ADMM

As of 16 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2411.12773.

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

pith.paper-citation-record.v1
2411.12773 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:01:49.249537Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0fdcc05-6048-4010-816b-9568251bf7b0 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

Decoupling Training-Free Guided Diffusion by ADMM Blended diffusion for text-driven editing of natural images

Reference 1

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Source-reported events for the cited work

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Observation 609711b0-df36-4a87-9f7f-f005245b3d84 · outbound

This paper cites Universal guidance for diffusion models.

Decoupling Training-Free Guided Diffusion by ADMM Universal guidance for diffusion models

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b4407faf-1e5b-4961-9e0d-41c8fc230f5b · outbound

This paper cites Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion.

Decoupling Training-Free Guided Diffusion by ADMM Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion

Reference 3

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Source-reported events for the cited work

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Observation cb4f4cda-fe37-4b4a-9c61-b6259545dc8e · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

Decoupling Training-Free Guided Diffusion by ADMM Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 4

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Observation 0b645f86-09d2-447d-99b1-ea4721097f2e · outbound

This paper cites Accurate sampling using langevin dynamics.

Decoupling Training-Free Guided Diffusion by ADMM Accurate sampling using langevin dynamics

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 2026-08-15T06:32:42.880941+00:00.

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Observation 41e6d5c0-8fc1-427f-8e31-b8e582f9b08c · outbound

This paper cites Performance analysis of plug-and- play admm: A graph signal processing perspective.

Decoupling Training-Free Guided Diffusion by ADMM Performance analysis of plug-and- play admm: A graph signal processing perspective

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2e26ef7a-2319-40f6-9827-090597af74a1 · outbound

This paper cites Plug-and-play admm for image restoration: Fixed- point convergence and applications.IEEE Transactions on Computational Imaging, 3(1):84–98, 2016.

Decoupling Training-Free Guided Diffusion by ADMM Plug-and-play admm for image restoration: Fixed- point convergence and applications.IEEE Transactions on Computational Imaging, 3(1):84–98, 2016

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 25fa7708-f78f-497f-9dfe-15376f5ca6bb · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Decoupling Training-Free Guided Diffusion by ADMM Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 8

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aab336ee-3526-458a-8253-4888c1b4e796 · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints.

Decoupling Training-Free Guided Diffusion by ADMM Improving diffusion models for inverse problems using manifold constraints

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 51183436-6557-429d-aa17-f1a3f15bd567 · outbound

This paper cites Probability theory: The coupling method.

Decoupling Training-Free Guided Diffusion by ADMM Probability theory: The coupling method

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c3eb640d-c0c7-4380-8bf6-5cd7c34f5021 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Decoupling Training-Free Guided Diffusion by ADMM Imagenet: A large-scale hierarchical image database

Reference 11

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.057080Z digest=sha256:a537430cadef2c2cd09b776af88bdd218737e87af252e93e0f33a0087b8562f3

Observation 643c1e9d-b195-441e-adf3-23f8ef266b32 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Decoupling Training-Free Guided Diffusion by ADMM Diffusion models beat gans on image synthesis

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 201f8f56-3715-44b4-83f1-ca18334383f4 · outbound

This paper cites Diffusion posterior sam- pling for linear inverse problem solving: A filtering perspective.

Decoupling Training-Free Guided Diffusion by ADMM Diffusion posterior sam- pling for linear inverse problem solving: A filtering perspective

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.861093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 773f3ba8-3ce4-4240-bb97-7446c463fd1a · outbound

This paper cites Tweedie’s formula and selection bias.

Decoupling Training-Free Guided Diffusion by ADMM Tweedie’s formula and selection bias

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 28d2f7e5-5cec-4041-b21d-e9efec6c39a3 · outbound

This paper cites A general framework for a class of first order primal-dual algorithms for convex optimization in imaging science.

Decoupling Training-Free Guided Diffusion by ADMM A general framework for a class of first order primal-dual algorithms for convex optimization in imaging science

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ac4da6e2-302d-49f9-a06a-4992e313e9f7 · outbound

This paper cites A dual algorithm for the solution of nonlinear variational problems via finite element approximation.

Decoupling Training-Free Guided Diffusion by ADMM A dual algorithm for the solution of nonlinear variational problems via finite element approximation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.826736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 986afb42-3ec8-41ee-b3a7-bd83eb68edc6 · outbound

This paper cites Sur l’approximation, par éléments finis d’ordre un, et la résolution, par pénalisation-dualité d’une classe de problèmes de dirichlet non linéaires.

Decoupling Training-Free Guided Diffusion by ADMM Sur l’approximation, par éléments finis d’ordre un, et la résolution, par pénalisation-dualité d’une classe de problèmes de dirichlet non linéaires

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7cff625b-b197-4a01-ab35-7e5236828ac1 · outbound

This paper cites Diffusion models as plug-and- play priors.

Decoupling Training-Free Guided Diffusion by ADMM Diffusion models as plug-and- play priors

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f54c509d-a8e5-41c0-b041-5156f3ab8806 · outbound

This paper cites Generating diverse and natural 3d human motions from text.

Decoupling Training-Free Guided Diffusion by ADMM Generating diverse and natural 3d human motions from text

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.791767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 17a0d224-7102-467d-8fe5-2ae47c61313e · outbound

This paper cites Manifold Preserving Guided Diffusion.

Decoupling Training-Free Guided Diffusion by ADMM Manifold Preserving Guided Diffusion

Reference 20

Resolution
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no resolver link, observed 2026-08-12T18:01:49.094464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.094464Z digest=sha256:7899bed0f61eab094d56de7c237147276c1ca07cb684e1a2caacb76b24cfe7d0

Observation e829c20b-4cb2-4d83-b658-797929b17e75 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Decoupling Training-Free Guided Diffusion by ADMM Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 21

Resolution
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no resolver link, observed 2026-08-12T18:01:49.098516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.098516Z digest=sha256:f8c76ec72eb98e039bb24b349c77de17c7b704782ef97664e03b017e067280a8

Observation 0e1bcd85-9b97-43c5-a2c4-374afca141e0 · outbound

This paper cites Denoising diffusion probabilistic models.

Decoupling Training-Free Guided Diffusion by ADMM Denoising diffusion probabilistic models

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e790616e-30ea-484f-81e8-c948ee171901 · outbound

This paper cites Alternat- ing direction method of multipliers for real and com- plex polynomial optimization models.

Decoupling Training-Free Guided Diffusion by ADMM Alternat- ing direction method of multipliers for real and com- plex polynomial optimization models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.770003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.109411Z digest=sha256:460c5e59557d37bd18f7d047c0abdd56f95561fe68f49c0747d7daf265faf6f8

Observation 48054648-320b-4e55-acf9-61e32a9838db · outbound

This paper cites A style- based generator architecture for generative adversarial networks.

Decoupling Training-Free Guided Diffusion by ADMM A style- based generator architecture for generative adversarial networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.759238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 18421a24-ad76-4186-bc91-0f09a6e3adee · outbound

This paper cites Guided motion diffusion for controllable human motion synthesis.

Decoupling Training-Free Guided Diffusion by ADMM Guided motion diffusion for controllable human motion synthesis

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.748297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.116979Z digest=sha256:465c58337b8f05b8f8a3a66acbf682f8449ab64a24f9a12eb608f7953158f5e6

Observation aeb1808f-755a-4130-a6be-6ad030566e20 · outbound

This paper cites Denoising diffusion restoration models.

Decoupling Training-Free Guided Diffusion by ADMM Denoising diffusion restoration models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.737048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.120562Z digest=sha256:98fcb5a02f08ad76604ff2b5189f7bd3de17aa5bb9c5cc22881c35fd7d0d2ce1

Observation 9b529ca6-8617-4322-9ac2-db6e9a1ffaf3 · outbound

This paper cites Imagic: Text-based real image editing with dif- fusion models.

Decoupling Training-Free Guided Diffusion by ADMM Imagic: Text-based real image editing with dif- fusion models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.725551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.124276Z digest=sha256:e2833501d891a6d65ce30d7bdfd0d65c158692ade859cc801e7a32e4d1ecfa56

Observation 0d195809-50f2-4e41-86c3-7e5c18fba40d · outbound

This paper cites Diffusionclip: Text-guided diffusion models for robust image manipulation.

Decoupling Training-Free Guided Diffusion by ADMM Diffusionclip: Text-guided diffusion models for robust image manipulation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.713211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.128386Z digest=sha256:ed5424dbad085daf367968f6ed3d6861b8eb2d42e22f4b609f52ead9aaf431b2

Observation 1a35c1d1-0d15-4d64-b4e3-8eb41e76ea9e · outbound

This paper cites Diffusion-lm im- proves controllable text generation.Advances in Neural Information Processing Systems, 35:4328–4343, 2022.

Decoupling Training-Free Guided Diffusion by ADMM Diffusion-lm im- proves controllable text generation.Advances in Neural Information Processing Systems, 35:4328–4343, 2022

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.701150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e29a621d-0deb-4504-83b4-b9cca598e931 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

Decoupling Training-Free Guided Diffusion by ADMM Magic3d: High-resolution text-to-3d content creation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.688621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.135996Z digest=sha256:fed1ecc7d5d7fd74b9c79809534f11301e684d0bfd68ad07ca75303c49aa70b8

Observation 99d6fe94-4d54-4f09-8fe7-e9b6bfa71ed2 · outbound

This paper cites Lectures on the coupling method.

Decoupling Training-Free Guided Diffusion by ADMM Lectures on the coupling method

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.675439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.140180Z digest=sha256:4bf7f9f07800d79158ccd499d0ab4262d4340ab87ac5711bc52671042444bb80

Observation ad4c31b3-9846-40f4-866f-221019f31a65 · outbound

This paper cites Numerical methods for non- linear variational problems.

Decoupling Training-Free Guided Diffusion by ADMM Numerical methods for non- linear variational problems

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.663289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.144094Z digest=sha256:ee5a192cb5f1f0007cf112e1866d61eb94dda5261195eab280b94f25f0f56524

Observation 1ba1a1fe-fa3c-4d76-9670-ffa924fa0831 · outbound

This paper cites Latent diffusion for language generation.

Decoupling Training-Free Guided Diffusion by ADMM Latent diffusion for language generation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.650314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.148527Z digest=sha256:c4422c8c0ba8b6eec97dfe758aa9dbb2b9f72e458cca80af2a36e88f99f56d15

Observation 357dc9f9-314f-4c7a-b823-e3a206942cd8 · outbound

This paper cites On the con- vergence of alternating direction lagrangian methods for nonconvex structured optimization problems.

Decoupling Training-Free Guided Diffusion by ADMM On the con- vergence of alternating direction lagrangian methods for nonconvex structured optimization problems

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.638656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.152323Z digest=sha256:92f4ea83e3e4cf8862fa4c33e56fbcc38fbf6fb27fd026bc3bc684cc8dd15e07

Observation 2df58dd3-7adb-47f3-a867-37be0c21d920 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Decoupling Training-Free Guided Diffusion by ADMM SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 35

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unresolved
no resolver link, observed 2026-08-12T18:01:49.156006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.156006Z digest=sha256:3743cda296feb584a8ddb2bbf624d1a0998657f425f2af6dc6516947a2c2a5eb

Observation 295d902a-5f5c-4659-b142-a1c85ec5660e · outbound

This paper cites Proximité et dualité dans un espace hilbertien.

Decoupling Training-Free Guided Diffusion by ADMM Proximité et dualité dans un espace hilbertien

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.626941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.160207Z digest=sha256:a67f77c181e69912def4081387e2c5c57ef5609c4ec53cfe17495c0b3effc202

Observation f9a8f6d8-1c7c-49c2-bafe-c3c2e1d20905 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Decoupling Training-Free Guided Diffusion by ADMM T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 37

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no resolver link, observed 2026-08-12T18:01:49.163944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.163944Z digest=sha256:92a1bee54dc69bb6261829c15244b0ce1b7850e739f4fcb1d760eaa106b580ac

Observation 935ee720-b821-4bde-9360-4a56c11f3ec8 · outbound

This paper cites Lectures on convex optimization.

Decoupling Training-Free Guided Diffusion by ADMM Lectures on convex optimization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.607516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.167850Z digest=sha256:5e15088380d75416ad6c81861545d818c04cdbfa1e79a5532979a09951d846c8

Observation 650d9e2f-bd5f-47a6-ae85-45cd1815a618 · outbound

This paper cites Proximal algorithms.

Decoupling Training-Free Guided Diffusion by ADMM Proximal algorithms

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.595751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.171461Z digest=sha256:e5b2f25cf94dc9b061e60d96e97d56a8d20b451f2788264511e0d01cf54d6457

Observation 05de8d2a-5ae4-4f00-88f5-ee13de0ef8dc · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Decoupling Training-Free Guided Diffusion by ADMM DreamFusion: Text-to-3D using 2D Diffusion

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T18:01:49.175123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.175123Z digest=sha256:0905ee241f3fc926822a4b2e40ee4792ecc9fc589ad13e89cf559f67ce60e48e

Observation 78e3a9e2-9efc-4972-a42d-35136901aed8 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Decoupling Training-Free Guided Diffusion by ADMM Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T18:01:49.179145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.179145Z digest=sha256:35b0f774b1b3567d9a170da8dfd5ba815fad09cd2f1401da31c4bbb4461658ce

Observation 95363c34-ef9b-4948-831c-b5dc624458f5 · outbound

This paper cites Autoregressive denoising diffusion models for multivariate probabilistic time series fore- casting.

Decoupling Training-Free Guided Diffusion by ADMM Autoregressive denoising diffusion models for multivariate probabilistic time series fore- casting

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.583997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.183058Z digest=sha256:de9b9413d90a9873d9321f13f8dcd6901f9aa9ea72dbf938c845e5628d55350e

Observation 0cb7242a-5014-4feb-8b13-d04e6aeecc65 · outbound

This paper cites A convergence theorem for non negative almost supermartingales and some applications.

Decoupling Training-Free Guided Diffusion by ADMM A convergence theorem for non negative almost supermartingales and some applications

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.572616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.186539Z digest=sha256:158f8ef75f5f0b7d8b0b96df32dc5d1aa6d16ac2f689aff860c653db58e04e19

Observation 2245b67c-37f4-4206-a100-a41dd1849736 · outbound

This paper cites Variational analysis.

Decoupling Training-Free Guided Diffusion by ADMM Variational analysis

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.560290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.190415Z digest=sha256:69782a98a54bd39fd3b219fdc1a156bc04a17aee28d5cf2292d5f41d63644a4a

Observation 71e5432f-3bee-4210-9ba6-28c384869c17 · outbound

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

Decoupling Training-Free Guided Diffusion by ADMM High-resolution im- age synthesis with latent diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.548765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.193953Z digest=sha256:8a8d232ceebe2d818e2020ad084e5aecd7256fd915767894bc15e5472bacc278

Observation a638823f-e5cf-4cf6-85d5-05af9ae8b2b3 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Decoupling Training-Free Guided Diffusion by ADMM Photorealistic text-to-image diffusion models with deep language understanding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.536715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.197421Z digest=sha256:ce3742353f4951e2bb16f996f0cefe3aea1bb8826f4ec0d2f267dfd8eaec5394

Observation 24ecf21c-0a16-4ca2-a64f-99568f2927eb · outbound

This paper cites Deep unsupervised 10 learning using nonequilibrium thermodynamics.

Decoupling Training-Free Guided Diffusion by ADMM Deep unsupervised 10 learning using nonequilibrium thermodynamics

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.524448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.200883Z digest=sha256:6e355836162f871001edf74af3896cdd182782107fd739285ad23cc9e9a7d689

Observation aa2737af-9302-4323-bb1e-208fa9f9899e · outbound

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

Decoupling Training-Free Guided Diffusion by ADMM Loss-guided diffusion models for plug- and-play controllable generation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.511399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.204357Z digest=sha256:1c542a398790a2536313ad8213daa7499d76bebd5f1812349f81684c1805b9d0

Observation 41a13747-f450-47e3-bb31-f58a64caa841 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Decoupling Training-Free Guided Diffusion by ADMM Generative modeling by estimating gradients of the data distribution

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T18:01:49.207829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.207829Z digest=sha256:e3988f152b12a8ed26711e7e3ec665ba5de3378f9ab78bf016db480cccb0e8dd

Observation 0d894b15-f030-40a3-8b29-7c79815e5d6d · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Decoupling Training-Free Guided Diffusion by ADMM Score-Based Generative Modeling through Stochastic Differential Equations

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T18:01:49.211934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.211934Z digest=sha256:8e9bea444bc1ed3449da868ca5d616f2c95d8314dfef6c2ae5b24bc25212ed8b

Observation 75052e10-0631-4590-95bf-eb92ec4fddcc · outbound

This paper cites Human motion diffusion model.

Decoupling Training-Free Guided Diffusion by ADMM Human motion diffusion model

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.491424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.215854Z digest=sha256:598cfa4ff4436ba18f6dd047cdefc056de4e59f13679a7fb6f115d356c80af12

Observation 291e11a3-5c4c-4445-a9ed-fb5c5c5596cb · outbound

This paper cites Sketch-guided text-to-image diffusion models.

Decoupling Training-Free Guided Diffusion by ADMM Sketch-guided text-to-image diffusion models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.479494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.219537Z digest=sha256:498ca309c94a1dcd2fb734a1bceb0e4c524fd57cef2afe0d3f8198cb2d4e1172

Observation 6e7aafdd-7d60-4352-8f61-44bb29c7e22b · outbound

This paper cites Parameter-free plug- and-play admm for image restoration.

Decoupling Training-Free Guided Diffusion by ADMM Parameter-free plug- and-play admm for image restoration

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.466644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.223315Z digest=sha256:cf8ed7349278941f70d751a07708edd3c300bd1f55fc0ccbe110e4f79f625e50

Observation 81b5d6ac-6467-464b-a168-a61a7978d1ea · outbound

This paper cites Adversarial open domain adaptation for sketch-to-photo synthesis.

Decoupling Training-Free Guided Diffusion by ADMM Adversarial open domain adaptation for sketch-to-photo synthesis

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.452402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.227095Z digest=sha256:ffc6a82e64ab7495012fd7a677a5a73b1456b0986d832e0adb3f1a6a57530e2e

Observation 0a9f16f6-4979-4869-8276-f5755316060e · outbound

This paper cites Interpolation and denoising of graph signals using plug- and-play admm.

Decoupling Training-Free Guided Diffusion by ADMM Interpolation and denoising of graph signals using plug- and-play admm

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.437957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.230770Z digest=sha256:32365df8dccea5ee85f06a6177ee9cca84c1e49c110cff0673edf2ee66ab486e

Observation 2d63bff5-92b7-4d57-8cd1-6317d75ee674 · outbound

This paper cites TFG: Unified Training-Free Guidance for Diffusion Models.

Decoupling Training-Free Guided Diffusion by ADMM TFG: Unified Training-Free Guidance for Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T18:01:49.234480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.234480Z digest=sha256:b0a1558066fbc2b0a11e385d9a12090280d2ab36d22b97cad78548b120341d26

Observation 19fed0c7-a1a4-4092-8994-ab6ba51b6216 · outbound

This paper cites Bisenet: Bilateral segmentation network for real-time semantic segmen- tation.

Decoupling Training-Free Guided Diffusion by ADMM Bisenet: Bilateral segmentation network for real-time semantic segmen- tation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.426172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.238377Z digest=sha256:a503cb7c8054bbfba25139ad61b9376f419b9ae391e11394eb7929797cb4728a

Observation dfe63f07-07b1-451c-9724-33f2c0db2e8b · outbound

This paper cites Freedom: Training-free energy-guided conditional diffusion model.

Decoupling Training-Free Guided Diffusion by ADMM Freedom: Training-free energy-guided conditional diffusion model

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.413516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.242181Z digest=sha256:3649ffa903ea959341dc8a2a0b80687cf575aefb9e6ca9a67493758cb55245c3

Observation b845d576-c1dc-4494-a0c7-98d5437a41a2 · outbound

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

Decoupling Training-Free Guided Diffusion by ADMM Adding conditional control to text-to-image diffusion models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T18:01:49.245692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:01:49.245692Z digest=sha256:e12621170d4bb366fe4fbca5f190f9c061507dfd6af0d204fd45e98568f2eba7

Observation ec69a1f8-40ff-447f-8ae1-bdf46e0fa0da · outbound

This paper cites walking” “walking backwards.

Decoupling Training-Free Guided Diffusion by ADMM walking” “walking backwards

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:01:49.393781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T18:01:49.249537Z digest=sha256:c1229a629b87d76e459c2c9225fc1617f072a8f1a6db39df18d111fc2a7424fd

Pith citing papers

No inbound Pith citation observations are available.