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Paper Citation Record · LEDGER

An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2404.07771.

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

pith.paper-citation-record.v1
2404.07771 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:46.044721Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T07:37:45.361675Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2ea6d187-bfe6-43df-90cc-840f14d5cee8 · inbound

Characterizing higher-order representations through generative diffusion models explains human decoded neurofeedback performance cites this paper.

Characterizing higher-order representations through generative diffusion models explains human decoded neurofeedback performance An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 104

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arxiv_id, observed 2026-05-22T23:52:17.140893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:48:35.724353Z digest=sha256:659f0b0bbdb6e6d45ea4b08cf40fcaae6fad9fab973abdd9a5b4d24de54cf79e

Observation f7995592-57e2-4dfd-b7cc-6b9e0d61a067 · inbound

MMaDA: Multimodal Large Diffusion Language Models cites this paper.

MMaDA: Multimodal Large Diffusion Language Models An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 77

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arxiv_id, observed 2026-05-15T14:50:59.853373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T14:50:59.661153Z digest=sha256:5c841503a457db5e0f3ea2bc0cb7e3d49bc6ea4111f9369861a97e9ed6d0dd3d

Observation fa092741-df4e-473a-9d11-cde11b3f44d2 · inbound

Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access cites this paper.

Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 4

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arxiv_id, observed 2026-05-19T12:37:17.427759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:36:56.621522Z digest=sha256:3aee220ce965496235baff70800d574f8e10b51f6a7b203d3ca1bc9c2baa5d2e

Observation 7c656561-07fd-4685-a376-3cc18bbee5ed · inbound

Optimization-Free Diffusion Model -- A Perturbation Theory Approach cites this paper.

Optimization-Free Diffusion Model -- A Perturbation Theory Approach An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 27

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no resolver link, observed 2026-08-07T12:48:46.044721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:46.044721Z digest=sha256:f87baf67174a4507e0f149dfc0ece919be2a07c4867c65c5253817573b625f2d

Observation 6d23ceda-985b-4488-9bde-82955255bf10 · inbound

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds cites this paper.

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 2023

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no resolver link, observed 2026-08-07T04:51:16.594135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:16.594135Z digest=sha256:9bfbd979918f42decc6248b5b3bca32e058bc39fa3e5a71686bdf6842d1fb750

Observation bb7a3400-309d-4a52-9f31-0987ed3c0208 · inbound

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization cites this paper.

Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 144

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no resolver link, observed 2026-08-06T23:02:41.559196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:02:41.559196Z digest=sha256:0b347c43d29a6b543b6741bfe1c5f920e7618a3ec333734a0b267e9f82c0615d

Observation 959e1a2f-590e-4a56-a7ad-c6087d986f85 · inbound

Likelihood Matching for Diffusion Models cites this paper.

Likelihood Matching for Diffusion Models An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 1

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no resolver link, observed 2026-08-06T04:26:45.581434Z

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source=pdf_text observed=2026-08-06T04:26:45.581434Z digest=sha256:c03049cc3fab54b34900663dc050752208218dd94f7bdae3c871330bafd2aa30

Observation c80ecccc-a1bc-435e-b382-685e41b09ee3 · inbound

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation cites this paper.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 9

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no resolver link, observed 2026-08-05T12:27:14.521472Z

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source=pdf_text observed=2026-08-05T12:27:14.521472Z digest=sha256:c68c80b268c693778ad819d7d2697e2627e84905b9d5c5f056eb4ad4e3bae3c1

Observation 44d51322-70f3-4c8b-addb-1d02cb84072b · inbound

Fast Score-Based Sampling via Log-Concave Reductions cites this paper.

Fast Score-Based Sampling via Log-Concave Reductions An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 12

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no resolver link, observed 2026-08-03T13:36:15.364750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:36:15.364750Z digest=sha256:1826365834ea4c4c04aec2be6d325336befc00469653b598db4959af66959e6b

Observation fe586b82-0d5b-45aa-bb91-25b9162e49cc · inbound

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach cites this paper.

Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 11

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no resolver link, observed 2026-08-03T04:22:25.383744Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:22:25.383744Z digest=sha256:7c61782b2be40cf0305dd592ba2adda6894ac4fdf065f79017e5f280bb5f7395

Observation 86fb82c9-c146-4711-849a-7d01f7ab831e · inbound

Inverse Design of Inorganic Compounds with Generative AI cites this paper.

Inverse Design of Inorganic Compounds with Generative AI An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 74

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arxiv_id, observed 2026-05-11T10:16:04.994805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:34:37.910692Z digest=sha256:f0b063dab97f7d122e8fbd9722d9ef275794cfd8b8f4501396cd091bb37ba2e8

Observation 304c0d32-599d-475a-8cd0-996990ce730b · inbound

Conditional diffusion denoising probabilistic model for super-resolution of atmospheric boundary layer large eddy simulation cites this paper.

Conditional diffusion denoising probabilistic model for super-resolution of atmospheric boundary layer large eddy simulation An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 12

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arxiv_id, observed 2026-05-12T09:16:26.855859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T11:41:39.109345Z digest=sha256:4054613056399c00df2bb976bb808d397763fc4ae845571fe28008df1690652d

Observation 6de80afe-3e7a-4d80-99f5-bc882c4994bd · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 84

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arxiv_id, observed 2026-05-11T03:30:57.473012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T02:27:44.244764Z digest=sha256:2642ee2bc04aab703d4edaec5b4edb84d43b5052ba26535c87d1865738bf1da9

Observation 7417ce42-edb1-406e-a419-ee3e638d2925 · inbound

On the Robustness of Distribution Support under Diffusion Guidance cites this paper.

On the Robustness of Distribution Support under Diffusion Guidance An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 84

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arxiv_id, observed 2026-05-25T06:35:24.704935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-25T06:34:46.801241Z digest=sha256:f8036d9d1c224958fb3400c6fc65e653471614c6266745e76728b4eff30c795f

Observation 136b0b18-8925-4b81-8412-778dd1119606 · inbound

Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation cites this paper.

Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 8

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arxiv_id, observed 2026-05-11T02:55:53.106489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T02:53:12.418627Z digest=sha256:4aab2ad523c23cf3fecbe78f26c38327180933f58667666fefbc1a167da1a95c

Observation 903b06da-bb4e-4608-ad46-7d39a755f80e · inbound

Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer cites this paper.

Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 3

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arxiv_id, observed 2026-05-13T02:32:06.236321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T02:30:57.473569Z digest=sha256:abb82b79f256f61fc51acfdda0be1f5ffbbe802a84decb4908da2eaaf578ec5c

Observation 1cd3e7a2-3dc1-4e11-b13c-2c4d5a69fbd2 · inbound

Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? cites this paper.

Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 3

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arxiv_id, observed 2026-05-20T19:48:57.302386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T19:48:17.049547Z digest=sha256:8a72c47e5ca6163b8edf124106b6dd7d6624bcaf9bd1fa5cc86012ac88fc4671

Observation b4d6e6d8-cf03-45e2-9108-3d10195054c2 · inbound

SAS: Semantic-aware Sampling for Generative Dataset Distillation cites this paper.

SAS: Semantic-aware Sampling for Generative Dataset Distillation An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 25

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arxiv_id, observed 2026-05-20T12:23:17.013922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:19:42.382196Z digest=sha256:49d368ec3e9511e972ccea0d4d065969978ea6bc40a47c790ca4c28ad290d0ff

Observation 45598f90-8dfb-405b-9076-d2146579ce4e · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 5

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arxiv_id, observed 2026-05-20T06:53:05.951611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T06:49:53.603604Z digest=sha256:bf3a08b15c8d032b2fd9f39c8862b5f0d6cc4d7a85f958fe1a33e0d6c164d023

Observation 14641b83-bfe5-4fb7-b035-1f5cd8d14484 · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 5

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arxiv_id, observed 2026-05-21T07:29:48.473435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T07:25:05.617335Z digest=sha256:80e9c5d62771f73174eb264fc7e636201d5b9397817de0559ab0420b0ee32e2e

Observation d49df4fc-ff72-48f9-b5f3-dc9f213b5d93 · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 5

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verified exact
arxiv_id, observed 2026-05-22T09:24:46.745356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T09:17:01.418385Z digest=sha256:51c54b5c6393a2def12ad3a74883c361f3be4586a718bb61a7a41884c56d33f4

Observation 05ac7838-59b6-4f09-9f45-e2f503485e9c · inbound

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market cites this paper.

D$^3$-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 5

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verified exact
arxiv_id, observed 2026-07-01T15:05:47.270458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T18:21:12.783683Z digest=sha256:36d5b8ccfc5ccabf9d16e0a473b0bbcee7a0fa843a109864e4dfc8ac961cca48

Observation 218fa785-836c-47ed-9fa4-657a88cc62f4 · inbound

Nonlocal Onsager Operators and Entropy Dissipation for Finite-State Schr\"odinger Bridges cites this paper.

Nonlocal Onsager Operators and Entropy Dissipation for Finite-State Schr\"odinger Bridges An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 76

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arxiv_id, observed 2026-07-03T07:37:45.362974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T11:59:40.602110Z digest=sha256:f066047b7f511ea95fc5e4fb45fd0e542ca83d87f1d3325415ebbb88a389f43f

Observation 515d77e1-dea0-409f-9011-d06750c313e1 · inbound

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization cites this paper.

From Similarity to Feasibility: Diffusion-Refined Retrieval-Augmented Generation for Distribution Network Optimization An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 25

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no resolver link, observed 2026-08-01T22:20:55.269635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:20:55.269635Z digest=sha256:7c6963cd57bae1f9725a0bd2983993541848e2831ffd300f63304e11ab88b804

Observation 583398dd-abd8-4809-9214-c5a849e3010e · inbound

From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models cites this paper.

From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 2

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no resolver link, observed 2026-08-01T00:09:11.574163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:09:11.574163Z digest=sha256:6d63d3f6080c978bc62cd2bf7fc6f074b5b56b50b807cb3b1ba4a6e596ca716a

Observation edfb26a8-781c-4a8c-8dcb-623820420a7b · inbound

Self-Supervised Representation-Guided Generative Dataset Distillation cites this paper.

Self-Supervised Representation-Guided Generative Dataset Distillation An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 52

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no resolver link, observed 2026-08-05T23:21:24.129111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:21:24.129111Z digest=sha256:9252ce1674c9072db9939a33b6dc614751e176b8a4053af665a5d20f6d5b78d2