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Paper Citation Record · LEDGER

Non-asymptotic convergence bound of conditional diffusion models

As of 18 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2508.10944.

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

pith.paper-citation-record.v1
2508.10944 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:56:33.514796Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

73 of 73 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea68eacd-f7ff-49a7-8cd6-933b79c273b6 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Non-asymptotic convergence bound of conditional diffusion models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 1

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Observation 631986c6-42b2-49d4-856a-c3da6b3fefd7 · outbound

This paper cites Denoising diffusion probabilistic models.

Non-asymptotic convergence bound of conditional diffusion models Denoising diffusion probabilistic models

Reference 2

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Observation 556646f6-6bbc-4367-92fa-3def2df6427d · outbound

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

Non-asymptotic convergence bound of conditional diffusion models Generative modeling by estimating gradients of the data distribution

Reference 3

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Observation ac021d92-4fde-4857-805b-02c24e032ef5 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Non-asymptotic convergence bound of conditional diffusion models Diffusion models beat gans on image synthesis

Reference 4

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Observation ddb040a1-489f-4ab7-9647-65fd1f404507 · outbound

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

Non-asymptotic convergence bound of conditional diffusion models High-resolution image synthesis with latent diffusion models

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7f709bbc-ef20-47a5-81fa-cb943eeb0e6a · outbound

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

Non-asymptotic convergence bound of conditional diffusion models Adding conditional control to text-to-image diffusion models

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 29685707-4c38-4954-b162-8203e7b27fcf · outbound

This paper cites Conditional text image generation with diffusion models.

Non-asymptotic convergence bound of conditional diffusion models Conditional text image generation with diffusion models

Reference 7

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Source-reported events for the cited work

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Observation c574bcf0-7bde-4615-ab1e-caf6ce7cf5fb · outbound

This paper cites Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding.

Non-asymptotic convergence bound of conditional diffusion models Seeing beyond the brain: Conditional diffusion model with sparse masked modeling for vision decoding

Reference 8

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Source-reported events for the cited work

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Observation a9db21f2-4b2b-4976-bd34-0edb531e35ac · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

Non-asymptotic convergence bound of conditional diffusion models Structured denoising diffusion models in discrete state-spaces

Reference 9

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Source-reported events for the cited work

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Observation f79b687a-8a68-417b-a5cf-1e116a44b4da · outbound

This paper cites Diffusion-lm improves controllable text generation.

Non-asymptotic convergence bound of conditional diffusion models Diffusion-lm improves controllable text generation

Reference 10

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Source-reported events for the cited work

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Observation 3c716e81-ce2b-47df-b3e4-47fe507eea70 · outbound

This paper cites Diffusion Models for Non-autoregressive Text Generation: A Survey.

Non-asymptotic convergence bound of conditional diffusion models Diffusion Models for Non-autoregressive Text Generation: A Survey

Reference 11

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Source-reported events for the cited work

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Observation 325d4e2d-8f63-4d5a-afba-e97fa0edbdd9 · outbound

This paper cites Ar-diffusion: Auto-regressive diffusion model for text generation.

Non-asymptotic convergence bound of conditional diffusion models Ar-diffusion: Auto-regressive diffusion model for text generation

Reference 12

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verified fuzzy
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Source-reported events for the cited work

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Observation 7858d788-b93d-459b-a8d1-59faa9e92fe7 · outbound

This paper cites Egdiff: An experiment-guided diffusion model for protein.

Non-asymptotic convergence bound of conditional diffusion models Egdiff: An experiment-guided diffusion model for protein

Reference 13

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Source-reported events for the cited work

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Observation 5573d297-7bb3-462b-a3e7-bcd9b418a605 · outbound

This paper cites Deep learning for inferring gene relationships from single-cell expression data.

Non-asymptotic convergence bound of conditional diffusion models Deep learning for inferring gene relationships from single-cell expression data

Reference 14

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Source-reported events for the cited work

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Observation 8d3fc7de-cd71-431d-b182-62f7efe6fa4a · outbound

This paper cites Ai-driven antibody design with generative diffusion models: current insights and future directions.

Non-asymptotic convergence bound of conditional diffusion models Ai-driven antibody design with generative diffusion models: current insights and future directions

Reference 15

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Source-reported events for the cited work

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Observation 3c35b9bf-8f43-4b9f-ad2c-6dcf3c370472 · outbound

This paper cites A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity.

Non-asymptotic convergence bound of conditional diffusion models A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity

Reference 16

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Source-reported events for the cited work

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Observation 01cdc8c5-33b9-4b4c-96fb-2195d7e5352f · outbound

This paper cites Generative adversarial networks.

Non-asymptotic convergence bound of conditional diffusion models Generative adversarial networks

Reference 17

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Source-reported events for the cited work

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Observation fef64600-dda7-4d16-8e34-9b2cee323381 · outbound

This paper cites Auto-Encoding Variational Bayes.

Non-asymptotic convergence bound of conditional diffusion models Auto-Encoding Variational Bayes

Reference 18

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Source-reported events for the cited work

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Observation 67e1df00-5bf4-4e24-a336-57f5ec279163 · outbound

This paper cites Maximum likelihood training of score-based diffusion models.

Non-asymptotic convergence bound of conditional diffusion models Maximum likelihood training of score-based diffusion models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 852c95ac-ad87-4004-89b1-760c931f5362 · outbound

This paper cites Denoising Diffusion Implicit Models.

Non-asymptotic convergence bound of conditional diffusion models Denoising Diffusion Implicit Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f723ae4-ee38-41df-aa19-d6fb0f33d764 · outbound

This paper cites gDDIM: Generalized denoising diffusion implicit models.

Non-asymptotic convergence bound of conditional diffusion models gDDIM: Generalized denoising diffusion implicit models

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d493f20e-6d2c-4591-8d22-0d287bbad0b7 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Non-asymptotic convergence bound of conditional diffusion models Improved denoising diffusion probabilistic models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d726d3a1-963d-4a23-97c0-22d529b08d4f · outbound

This paper cites Classifier-Free Diffusion Guidance.

Non-asymptotic convergence bound of conditional diffusion models Classifier-Free Diffusion Guidance

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 227624d7-78ea-4efe-be14-5395a211c37b · outbound

This paper cites On distillation of guided diffusion models.

Non-asymptotic convergence bound of conditional diffusion models On distillation of guided diffusion models

Reference 24

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Source-reported events for the cited work

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Observation 21a9bca9-8467-40c2-b744-3cc9a63164f5 · outbound

This paper cites Classifier-free guidance makes image captioning models more descriptive.

Non-asymptotic convergence bound of conditional diffusion models Classifier-free guidance makes image captioning models more descriptive

Reference 25

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Source-reported events for the cited work

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Observation 1d4740f7-f2fe-40ca-95fc-a10a465b0c01 · outbound

This paper cites Card: Classification and regression diffusion models.

Non-asymptotic convergence bound of conditional diffusion models Card: Classification and regression diffusion models

Reference 26

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Observation 6acd87e8-25eb-4528-a072-bb78f5eaba5a · outbound

This paper cites Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction.

Non-asymptotic convergence bound of conditional diffusion models Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction

Reference 27

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Source-reported events for the cited work

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Observation 1bb2ba85-b215-48ac-a3b0-5bdc962945bf · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Non-asymptotic convergence bound of conditional diffusion models Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ab79c426-1ce1-40e8-8b65-ebe8115f29a7 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Non-asymptotic convergence bound of conditional diffusion models DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 29

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Observation 27038f28-d12c-4713-a979-c204fcf146ad · outbound

This paper cites Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics.

Non-asymptotic convergence bound of conditional diffusion models Dpm-solver-v3: Improved diffusion ode solver with empirical model statistics

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation fee787b2-e470-424c-8a1e-4b38a6c08b8e · outbound

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Non-asymptotic convergence bound of conditional diffusion models Unipc: A unified predictor-corrector framework for fast sampling of diffusion models

Reference 31

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Source-reported events for the cited work

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Observation 936cf685-76a3-46cf-a5fe-fa92a5b2d1ec · outbound

This paper cites Diffusion schr \"o dinger bridge with applications to score-based generative modeling.

Non-asymptotic convergence bound of conditional diffusion models Diffusion schr \"o dinger bridge with applications to score-based generative modeling

Reference 32

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 475f4800-152f-4762-a3e8-a49f6830ae3d · outbound

This paper cites Score-based generative modeling secretly minimizes the wasserstein distance.

Non-asymptotic convergence bound of conditional diffusion models Score-based generative modeling secretly minimizes the wasserstein distance

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T20:56:36.410196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.389956Z digest=sha256:8adae07ddb52e00700356171da6b98f46472575cd3fa4ce0672e3272ec3f2a51

Observation 636f3c73-f6bf-4fd3-be02-0055b44c182c · outbound

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

Non-asymptotic convergence bound of conditional diffusion models Convergence of denoising diffusion models under the manifold hypothesis

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.392959Z digest=sha256:2a47a85a0d06069cfef28bb39d3d078efdb8cc859ebff2496c28e483df4b8297

Observation a7ba576d-fa0a-436c-b7c1-e7a7132b5bee · outbound

This paper cites Convergence for score-based generative modeling with polynomial complexity.

Non-asymptotic convergence bound of conditional diffusion models Convergence for score-based generative modeling with polynomial complexity

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-05T20:56:36.275208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.396139Z digest=sha256:e6f2f388befd26fe8428016b64ef9f2cac17ff770c2083961aced637d4ec79cc

Observation 2f8c25c1-9c1d-476d-a7c3-32f96852f03d · outbound

This paper cites Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions.

Non-asymptotic convergence bound of conditional diffusion models Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 36

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no resolver link, observed 2026-08-05T20:56:33.399032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.399032Z digest=sha256:dc59470a9ccb2a4ea1a229fa4cda4af8fc70a5b641897a4aa090dab4712ebe37

Observation 03728298-0087-40c8-9063-e7f28712523a · outbound

This paper cites A deep generative approach to conditional sampling.

Non-asymptotic convergence bound of conditional diffusion models A deep generative approach to conditional sampling

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-05T20:56:36.178500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.402090Z digest=sha256:140b670f469f489f559c0de429fcb4bf4c11dbb6f1d8f23af82ae5806b194318

Observation 45bd72eb-1cff-4f4a-b9c7-8ca0a797f48e · outbound

This paper cites Convergence of score-based generative modeling for general data distributions.

Non-asymptotic convergence bound of conditional diffusion models Convergence of score-based generative modeling for general data distributions

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-05T20:56:36.001419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.404982Z digest=sha256:bba34767dc7666c8defa2e2e71c426276f0f9f93c67a85e18ecd51bd37cca90e

Observation 16a82739-cf16-49a6-a817-9cc64b04eb63 · outbound

This paper cites Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data.

Non-asymptotic convergence bound of conditional diffusion models Score approximation, estimation and distribution recovery of diffusion models on low-dimensional data

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:35.858754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.407726Z digest=sha256:d6866ba4fb7083cf5524a1f2055a81bcf6416cefb6b01d90c762b1155414ba64

Observation 3a91bc53-fa06-4067-9bde-a24a2a98fdc2 · outbound

This paper cites Diffusion models are minimax optimal distribution estimators.

Non-asymptotic convergence bound of conditional diffusion models Diffusion models are minimax optimal distribution estimators

Reference 40

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raw_fallback, observed 2026-08-05T20:56:35.680923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.410616Z digest=sha256:9a446d621082a79557c275964cec5099a115fee19ca23cc3afd61e0adab9831c

Observation 7fce74b7-6535-46da-a78a-83dc010e763b · outbound

This paper cites Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization.

Non-asymptotic convergence bound of conditional diffusion models Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Reference 41

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no resolver link, observed 2026-08-05T20:56:33.413776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.413776Z digest=sha256:a88b59d2f8896e248aba504a55300933dcf651f8002278aaa803c77d884ec2e4

Observation 2b5cb79c-608a-481c-8052-bd1a38003ef7 · outbound

This paper cites Optimal score estimation via empirical Bayes smoothing.

Non-asymptotic convergence bound of conditional diffusion models Optimal score estimation via empirical Bayes smoothing

Reference 42

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no resolver link, observed 2026-08-05T20:56:33.416847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.416847Z digest=sha256:6253c69550c1649278fbce0a34a794669343422e6e376b2f91f9b9c44d6456b6

Observation 9ae32b7a-217c-4a51-a1e7-f12c161a41db · outbound

This paper cites Reward-directed conditional diffusion: Provable distribution estimation and reward improvement.

Non-asymptotic convergence bound of conditional diffusion models Reward-directed conditional diffusion: Provable distribution estimation and reward improvement

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:35.466315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.421093Z digest=sha256:8df21c32735036c7b8580fbef4a970676957956e38a7900fe1a74cfe73344c08

Observation 20641a4c-677f-40cf-b826-dd4fac77ed93 · outbound

This paper cites Conditional score-based diffusion models for bayesian inference in infinite dimensions.

Non-asymptotic convergence bound of conditional diffusion models Conditional score-based diffusion models for bayesian inference in infinite dimensions

Reference 44

Resolution
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raw_fallback, observed 2026-08-05T20:56:35.291474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.424723Z digest=sha256:cb14d26530165d6cbf1ecb28243d8ae0ca57f245c9f08c88f50a510928569fd8

Observation cc55e26e-dc11-4360-8ab7-7706ea1a8443 · outbound

This paper cites Restoration-degradation beyond linear diffusions: A non-asymptotic analysis for ddim-type samplers.

Non-asymptotic convergence bound of conditional diffusion models Restoration-degradation beyond linear diffusions: A non-asymptotic analysis for ddim-type samplers

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:35.122074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.427578Z digest=sha256:9c8de4710555e9fac2a3dd58db6a2a228f647d75a3889ea0e9e36d636d95c7cd

Observation 39290044-d28b-454d-b02f-e0b22c72b452 · outbound

This paper cites Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances.

Non-asymptotic convergence bound of conditional diffusion models Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances

Reference 46

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unresolved
no resolver link, observed 2026-08-05T20:56:33.430265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.430265Z digest=sha256:b1c7edf4002a6149db463244410bef00e533b2bd1b4025d9904961745a024803

Observation b086e3e7-4b3e-48fd-9b69-50ec83d358e4 · outbound

This paper cites Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization.

Non-asymptotic convergence bound of conditional diffusion models Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization

Reference 47

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no resolver link, observed 2026-08-05T20:56:33.433579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.433579Z digest=sha256:68802e6360e29ab1afe04194b0608bcbff67e13a944a1871728c9131c922ff25

Observation 40679906-90c8-48aa-ab4c-32aa4f8162c6 · outbound

This paper cites Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models.

Non-asymptotic convergence bound of conditional diffusion models Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

Reference 48

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unresolved
no resolver link, observed 2026-08-05T20:56:33.436549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.436549Z digest=sha256:9b4c7b522d0c33163eb01ae333bb1ea519dc5a95506e5e5d5fb9a2dda635f037

Observation 6c9f8cd4-0a6c-4cd1-abfd-a62780d468aa · outbound

This paper cites Towards a mathematical theory for consistency training in diffusion models.

Non-asymptotic convergence bound of conditional diffusion models Towards a mathematical theory for consistency training in diffusion models

Reference 49

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no resolver link, observed 2026-08-05T20:56:33.439610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.439610Z digest=sha256:2413532522439295a40c661e8de97c1091f01036b0ca843b51239c1801442f93

Observation d0b5b71f-d29a-40b6-81a4-5c433dc95956 · outbound

This paper cites Accelerating Convergence of Score-Based Diffusion Models, Provably.

Non-asymptotic convergence bound of conditional diffusion models Accelerating Convergence of Score-Based Diffusion Models, Provably

Reference 50

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no resolver link, observed 2026-08-05T20:56:33.442850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.442850Z digest=sha256:581ada9cffa045625de98b0e9a9498bc12397af512537548cd1492caec601bff

Observation 0d39b500-7339-4b3d-a5e2-11d319773ce7 · outbound

This paper cites A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models.

Non-asymptotic convergence bound of conditional diffusion models A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models

Reference 51

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no resolver link, observed 2026-08-05T20:56:33.446221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.446221Z digest=sha256:331b4a21eca083adefe154c53e886321f97bbe88702cbc72f10ca836514c5ce4

Observation de15b3c1-d6cb-4d7c-9951-7201c5c92055 · outbound

This paper cites Model Free Prediction with Uncertainty Assessment.

Non-asymptotic convergence bound of conditional diffusion models Model Free Prediction with Uncertainty Assessment

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:56:33.854532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.449182Z digest=sha256:8a1d0cdaee98418a9a52ee307ecbdbb165d6fa40cdac76acea026129fba4cdbd

Observation 7f420824-6290-4fe2-90e6-febf97f33bd8 · outbound

This paper cites Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation.

Non-asymptotic convergence bound of conditional diffusion models Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation

Reference 53

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no resolver link, observed 2026-08-05T20:56:33.452208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.452208Z digest=sha256:409dd0a14c7cc62009ebd93c97abdf7b6f74bf38c95d38333b23644fef04584a

Observation f417387d-f6c7-414d-9b6b-02182c9ae427 · outbound

This paper cites Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers.

Non-asymptotic convergence bound of conditional diffusion models Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:56:33.794752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.455260Z digest=sha256:347a699d5dbdb74e6d7b19bc0df5f36569535005e0bd8d35e1a4548361e97678

Observation cd644ca3-6d42-48c9-ac4a-b699c7210818 · outbound

This paper cites Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions.

Non-asymptotic convergence bound of conditional diffusion models Improved analysis of score-based generative modeling: User-friendly bounds under minimal smoothness assumptions

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:34.987236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.458159Z digest=sha256:6480fe39e26ae3ad618764e40c822b398f1989c36716a5f26fa87e53ddd49581

Observation 86f929f4-ae17-402a-bd75-e71d5d0d8a29 · outbound

This paper cites O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions.

Non-asymptotic convergence bound of conditional diffusion models O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T20:56:33.461251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.461251Z digest=sha256:fde2037807f3676bc2ef55df0ab2a0d99c9e0452e477a17ef46109e0ffa8c389

Observation 54a2d4dc-5d38-4fcc-bb67-50fd57493c9c · outbound

This paper cites Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.

Non-asymptotic convergence bound of conditional diffusion models Generative Modeling with Denoising Auto-Encoders and Langevin Sampling

Reference 57

Resolution
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no resolver link, observed 2026-08-05T20:56:33.464341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.464341Z digest=sha256:ee2d2a1eaaf9e6ae9c6b7517ea0b32b90bbb907ba66789bae7b2594ee388baab

Observation d1d4bf29-16eb-4d31-811f-1afee687004f · outbound

This paper cites Let us Build Bridges: Understanding and Extending Diffusion Generative Models.

Non-asymptotic convergence bound of conditional diffusion models Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 58

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no resolver link, observed 2026-08-05T20:56:33.467823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.467823Z digest=sha256:4697e6e2d58108bf7cb590a87dd90e80c7a39138e9f304de3dcfe1a854f5dd14

Observation 09593f1b-2c09-4a80-92a6-f358e3852386 · outbound

This paper cites Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach.

Non-asymptotic convergence bound of conditional diffusion models Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:56:33.702473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.471323Z digest=sha256:638674f74e44ccd8326cf64c178db9b12e3020bae3364c512c488931b1fcfd05

Observation af9aabc6-b4a7-4fb1-9ab8-0c4e8c31b13c · outbound

This paper cites Contractive Diffusion Probabilistic Models.

Non-asymptotic convergence bound of conditional diffusion models Contractive Diffusion Probabilistic Models

Reference 60

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no resolver link, observed 2026-08-05T20:56:33.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.474488Z digest=sha256:d10092b56908dfa4d63e832966ff42aeb8780edfb2fd977623dd8450e3df2afd

Observation b4e48ce1-9f51-413c-87b8-9ab52bd39479 · outbound

This paper cites The probability flow ode is provably fast.

Non-asymptotic convergence bound of conditional diffusion models The probability flow ode is provably fast

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:34.856535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.477695Z digest=sha256:d51b83cdd614c929b736f7e6b55139cc98e9aa3be8d71509ee20392a258cfffe

Observation 86922206-bb52-4298-8d87-7a448457b088 · outbound

This paper cites Kl convergence guarantees for score diffusion models under minimal data assumptions.

Non-asymptotic convergence bound of conditional diffusion models Kl convergence guarantees for score diffusion models under minimal data assumptions

Reference 62

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raw_fallback, observed 2026-08-05T20:56:34.737276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.480528Z digest=sha256:7c1fa78a7489921ed28a036284d4398cac468d2c494f7dd9c8a6b9e3f8a18878

Observation c4dc6d2d-6526-48d2-85c5-7b5f79769665 · outbound

This paper cites Low-dimensional adaptation of diffusion models: Convergence in total variation.

Non-asymptotic convergence bound of conditional diffusion models Low-dimensional adaptation of diffusion models: Convergence in total variation

Reference 63

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no resolver link, observed 2026-08-05T20:56:33.483351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.483351Z digest=sha256:255aaecb6c4c8a0fd8b5b82faea6dffe55579c1b3f2ad67d58f8764d84c4e44a

Observation 9149237f-5dd3-4018-81dd-733019d6730f · outbound

This paper cites Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory.

Non-asymptotic convergence bound of conditional diffusion models Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 64

Resolution
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no resolver link, observed 2026-08-05T20:56:33.486632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.486632Z digest=sha256:97115ca261ab3e67392ac0b1024e52a14a4420f50e6536beb554f96809b9a231

Observation 2e43529c-b61c-4f13-9c9d-19f9bdd8f017 · outbound

This paper cites Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models.

Non-asymptotic convergence bound of conditional diffusion models Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:56:33.610169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.490319Z digest=sha256:f4a34d754cc70f840c7d011f6ef1053a3325ee606066d6320df372574d2712db

Observation 5f16b8c9-1933-4bfe-af82-40fd6003ae38 · outbound

This paper cites Provable Acceleration for Diffusion Models under Minimal Assumptions.

Non-asymptotic convergence bound of conditional diffusion models Provable Acceleration for Diffusion Models under Minimal Assumptions

Reference 66

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no resolver link, observed 2026-08-05T20:56:33.493471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.493471Z digest=sha256:fcd0b586113162881143043ba75105c399ec65368129c4d17469a54a0affa880

Observation 416c3d7c-5e39-4395-b45d-fa02f548b7e5 · outbound

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

Non-asymptotic convergence bound of conditional diffusion models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 67

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no resolver link, observed 2026-08-05T20:56:33.496682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.496682Z digest=sha256:e5db4c278131e7a8a3571a1381cc18b1dbc1294a824d722f733f37e934ce09f9

Observation cf3bee2c-0e53-4cea-9a84-77d00e847132 · outbound

This paper cites Convergence of Continuous Normalizing Flows for Learning Probability Distributions.

Non-asymptotic convergence bound of conditional diffusion models Convergence of Continuous Normalizing Flows for Learning Probability Distributions

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T20:56:33.499799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.499799Z digest=sha256:de4f22dd838b70f38c4b702e4cda721b20c339facc37fd61b4a4790b000f45dc

Observation ad29d0d0-0666-4ede-a25d-00d21f237ccf · outbound

This paper cites Improved techniques for training score-based generative models.

Non-asymptotic convergence bound of conditional diffusion models Improved techniques for training score-based generative models

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:34.555076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.502832Z digest=sha256:18ceb1d0d0aa1f88a2043a3487acb5f545a5ba2515f73e02924cb22511e76a9d

Observation 0e854b58-6354-4660-bf60-364846b33a9d · outbound

This paper cites Score-based generative modeling in latent space.

Non-asymptotic convergence bound of conditional diffusion models Score-based generative modeling in latent space

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:34.441862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.505644Z digest=sha256:6b3b93a8b7c780bae128dc1cdc0ba362b6571b784ccd6531ca2c4d6a5f1babf5

Observation 7f087c81-af4b-48f0-847b-aaa8c1f3ba7e · outbound

This paper cites Stochastic differential equations: an introduction with applications.

Non-asymptotic convergence bound of conditional diffusion models Stochastic differential equations: an introduction with applications

Reference 71

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no resolver link, observed 2026-08-05T20:56:33.508858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.508858Z digest=sha256:9ed95b1c11a2b452f0cd1ffc5b4bed198c11c3ecd2408b6a42e0e652dab1f2b2

Observation ea74a573-5c1a-4624-953d-2d3c4cfea7fb · outbound

This paper cites Gradient flows: in metric spaces and in the space of probability measures.

Non-asymptotic convergence bound of conditional diffusion models Gradient flows: in metric spaces and in the space of probability measures

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:34.290660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.511895Z digest=sha256:9d0f57fbc52aa449eb627c476f0e02bc13eb4182bd485faa6621755b3e638ca6

Observation ab04ad14-1f25-4074-a355-038700fa3517 · outbound

This paper cites Optimal transport for applied mathematicians.

Non-asymptotic convergence bound of conditional diffusion models Optimal transport for applied mathematicians

Reference 73

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no resolver link, observed 2026-08-05T20:56:33.514796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.514796Z digest=sha256:1583feb846c89f696f18a9e64db529a22df8308a8a5aa686111aba1d10ccde83

Pith citing papers

No inbound Pith citation observations are available.