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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 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 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:37:25.350797Z

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

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7f1cacfa-09b4-45ea-999f-fedf860d031c · inbound

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models cites this paper.

Weak Supervision Dynamic KL-Weighted Diffusion Models Guided by Large Language Models An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 6

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no resolver link, observed 2026-08-09T17:37:25.350797Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:37:25.350797Z digest=sha256:acf50654c9e36d68937faace7fbff99952292b08a77eda7d2897123941faf5cc

Observation 6cb896d7-9d17-4908-b964-3fe10d7c4fc5 · inbound

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation cites this paper.

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 2

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source=pdf_text observed=2026-08-09T17:35:58.265035Z digest=sha256:9df88a4f73316573d75634ebb1f91ab1e15192cf817253a4f9bdecb4d152fb1b

Observation 5b12d203-539b-4009-89e9-143d91e491b9 · inbound

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration cites this paper.

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 9

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source=arxiv_source observed=2026-08-08T21:18:48.741713Z digest=sha256:82aff749272b3757bed5f6838e58d9a70424a504757c89b037842c7de8b06d02

Observation 0360fbf7-a26f-4b4c-9ee2-b8c5b580d70e · inbound

Efficient Diffusion Models: A Survey cites this paper.

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

Reference 6

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no resolver link, observed 2026-08-09T16:13:35.629836Z

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source=pdf_text observed=2026-08-09T16:13:35.629836Z digest=sha256:d24314c6f0bf85baff47fb44e95189f5bff82e1f644dbab6795fed805985cdc1

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

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

source=pdf_text observed=2026-05-22T23:48:35.724353Z digest=sha256:a883c72c8d6235c7c337cb00eacc37994ba3bbee1b241c58bf0416b6266cdbbf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T14:50:59.661153Z digest=sha256:71efbc42ff3932fddf84a4093f78b490b05f2d702220ca1ab6e175132ef5b67e

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

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

source=pdf_text observed=2026-05-19T12:36:56.621522Z digest=sha256:5424552af623009edbf846a9438746e4583b02abd9a8f6c70925158c8f8b1ecc

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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source=pdf_text observed=2026-08-07T12:48:46.044721Z digest=sha256:00dd501f771e261814d93bc6a7f50b3579237ab79519c53920c3c56b62439f92

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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source=pdf_text observed=2026-08-07T04:51:16.594135Z digest=sha256:29db53c9e5e4b97f138ee56bad2791f17fb7345fe2be32b3d2e1048922f29078

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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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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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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source=pdf_text observed=2026-08-05T12:27:14.521472Z digest=sha256:801e8c70a3788c4cd7347828278076e75a5f8502e349f4846c096785137e9fe2

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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source=pdf_text observed=2026-08-03T13:36:15.364750Z digest=sha256:9b511d63dcc33815f495a528ce03c1a326bc168083bcc56f60a63a0c85b18193

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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source=pdf_text observed=2026-08-03T04:22:25.383744Z digest=sha256:c469e0db18238bc815581a70af4914c3a951c0ebc3180eb0d08f050dfe5d9fb6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:34:37.910692Z digest=sha256:d724a76afa11d3b4a55064357e4a65669e7710c2a8dec13afb8ada50e833da34

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

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

source=pdf_text observed=2026-05-07T11:41:39.109345Z digest=sha256:1aa2aa1aa3510397bf2b29b3593aa12de48f5da50f88d9b069253b7348d18f92

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

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

source=arxiv_source observed=2026-05-11T02:27:44.244764Z digest=sha256:3b957b392f406632fd426ed1744b11070004d132e939e1aa09d3cbd690290807

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

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

source=arxiv_source observed=2026-05-25T06:34:46.801241Z digest=sha256:542a223c5cb483ef3021c19302c452c51f3600f666399ccfd66ee83d46386af9

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

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

source=pdf_text observed=2026-05-11T02:53:12.418627Z digest=sha256:a91a2305fe7b2724e45dd397621db8557b0e8388b2205268d9e432dd2c22fed4

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

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

source=pdf_text observed=2026-05-13T02:30:57.473569Z digest=sha256:899421e5f306a598314244cce5d95b95516ec3ea7c8603e26ba4da13a320c520

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

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

source=pdf_text observed=2026-05-20T19:48:17.049547Z digest=sha256:d100aa8070a50f7ac879e0b8b7a0584144c2f9e01b2ba530a2ef5ea1feebf04c

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

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

source=pdf_text observed=2026-05-20T12:19:42.382196Z digest=sha256:30196808d18a4e07819905ee3afc68953bb50885a1bc94fcb88d6995d441cdeb

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

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

source=pdf_text observed=2026-05-20T06:49:53.603604Z digest=sha256:41d89cc02bdba3e1ac03b213b61d800f1fe4edc9a499976c46db386a853a30b1

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

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

source=pdf_text observed=2026-05-21T07:25:05.617335Z digest=sha256:c26b064bb1c7ea577bf501a026041acac21ff1e28b551cc8c037a06ed59e3660

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T09:17:01.418385Z digest=sha256:52600211167748ce71fa2b5d12e52c9beccd19396dcd436e9e4dd8573d671cd0

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T18:21:12.783683Z digest=sha256:70c4169a190eaf2d936624b3868e76d39c8a4516f0ba7eb20ee9adc9fca49419

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T11:59:40.602110Z digest=sha256:d005802edc91cf6e0ce57e3de3c962c801d80d49fa7d726d367332ef66999213

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:20:55.269635Z digest=sha256:7aba151c06c2fb1ebca3871c9da55b35eea6f7af56aab1620a8af12d804e4a19

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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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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:21:24.129111Z digest=sha256:a8ca7840b730876cf4d5caa86ffa130d23cd98604fd4340f39871b23c5a4082c