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Paper Citation Record · LEDGER

Non-asymptotic convergence bound of conditional diffusion models

As of 7 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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Unavailable: canonical work link unavailable.

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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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verified fuzzy
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Source-reported events for the cited work

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

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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

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

source=arxiv_source observed=2026-08-05T20:56:33.310272Z digest=sha256:1ca9bbff7010fb5831bbe73cb393d5bbd4bb69d4cac37b2765be80a60766160b

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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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-05T20:56:33.313260Z digest=sha256:cfa9547cd12a01e5c2a17da6429e0d5541344adc71c198ff24b5a767ad29adc2

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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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-05T20:56:33.316361Z digest=sha256:6b1eef767c7e7aaf77aef6e0d50b0ab68a42fd1f2d5755417a00c2c91e71953c

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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verified exact
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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.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-05T20:56:33.323041Z digest=sha256:7a3115817a00b1cdb7dc11f1e7f7148370cde873a113b27436a44b30fff9f0ca

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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verified fuzzy
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Source-reported events for the cited work

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

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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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verified fuzzy
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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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verified fuzzy
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Source-reported events for the cited work

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

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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

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

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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

Unavailable: canonical work link unavailable.

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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.

source=arxiv_source observed=2026-08-05T20:56:33.346690Z digest=sha256:d9ac663339db1cc0d98a4dcf03987d61d786b674284de4d7636b5a63856586b0

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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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.349747Z digest=sha256:1c47ab00c72c58ea25eec42c982948a8de48e68e7352f9922f8e8d71f9f31506

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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no resolver link, observed 2026-08-05T20:56:33.352944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.352944Z digest=sha256:92e960ef4448d167e0abc10aa9df0f05497c1c06c4c4c1ab024636a9b17dd0dc

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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verified fuzzy
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Source-reported events for the cited work

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

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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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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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Source-reported events for the cited work

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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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verified fuzzy
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Source-reported events for the cited work

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

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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
verified fuzzy
raw_fallback, observed 2026-08-05T20:56:37.165422Z

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=2026-08-05T20:56:33.374384Z digest=sha256:9a6bf397b2073f229e668f210dd412ce61afd9ec6fec8c55e6614cd7e6b8c4d3

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
raw_fallback, observed 2026-08-05T20:56:36.943537Z

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=2026-08-05T20:56:33.380988Z digest=sha256:2dd6a9440202439330f9b5e3aeed8237fa35ac1ff859cde38711afb84f2c401b

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

This paper cites Unipc: A unified predictor-corrector framework for fast sampling of diffusion models.

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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verified fuzzy
raw_fallback, observed 2026-08-05T20:56:36.757225Z

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=2026-08-05T20:56:33.384016Z digest=sha256:227f03be98c3b9455e5edf20c63fceb1a102bfd1a8bb77c9b6537cf541f2af9d

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
raw_fallback, observed 2026-08-05T20:56:36.575880Z

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=2026-08-05T20:56:33.386958Z digest=sha256:08e48fbddb696ea7072619f1cc21d9c76ccf07fb3a70c7beba89660ab4761b4f

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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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.389956Z digest=sha256:b2643f3bfc9755f3f787f52e07495c324f19654ed52b90634cca15b742783841

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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no resolver link, observed 2026-08-05T20:56:33.392959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.392959Z digest=sha256:7991882c2943ed06f7b2315edf473faea062882ebaef3039ca7d7651c2f5621b

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.396139Z digest=sha256:16cf1843596d314bd942cf8134d9f936a6b2c791c33acfd0c387e085bc4ee42a

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=sha256:0401e862300faf315acaa82c62ac5a5c20f4c38920a4b95659218883dc03b13f

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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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.402090Z digest=sha256:455fe0483038b1ffc913e3b7ec2d0740aca4542872c44d6226589c65ab0a6449

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.404982Z digest=sha256:501c3e2d0dad1ee8807566f73578f27b43819c062dba428abebe2f69a1320b1a

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.407726Z digest=sha256:389ba8c6460d89d06d3bb297a34c0a15df4cd809d697435f7be8a9ce83ea42ec

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.410616Z digest=sha256:bb8a2f04d2679ddf8dca065a71a5efdb0a1e2514251c3cb05710abb84ee59247

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=sha256:7e0f3e750384c2917d0cf9c790ea37f46a9f9700c405adeea2a894ba7cdca6bc

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=sha256:08898b175378198d71bdbd471ec95f0393486c406217cbcc14f1616da442aa9b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.421093Z digest=sha256:dfc124ff5e561c64c92bc025ab7780e6b3a2f9012f50e843d1fb11f50d1821c8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.424723Z digest=sha256:94bb1859f452ca7e0dec6c8defd2c8fc385407c1b6c34c07a701e1bc0c85b8c2

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
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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.427578Z digest=sha256:8918755887dda29dbfa1ffd006aa3380a700576e23905a553d9c546dc92ed4cb

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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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:c74e6a09205643e2d90a0ee3cbc47c4f9612bd382c095568b0fd1c43cb562636

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=sha256:51c05b9183006b0b6f18ca64ec73a1525a256cb0ad5b801a8451f958ab0cf150

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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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=sha256:8aa4f4d0419dab01bd0d23970d6493fa49a995484313a8761f63876597577354

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:a90caf24d1c4630ec8752f381e124937113a13f44d0c5fada80c0364776d1795

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=sha256:61e41d3b6b4207b1d17ef35b22d2ba77b6e62bd94b51e25f6711188f56774b0f

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=sha256:4e3b0c734b26d8d88cd44374774b9da4228e90c7c1504a7fe4c83451d1b25a59

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.449182Z digest=sha256:68fbcdd4b999ce35b6a85e7cec4e676bfc8d24492fd2dbaf3f3962600931b914

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:f68b84edbbb1af30989720ebe32ff798007d93e6fdb0bc76084bdbb65c2f8789

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.455260Z digest=sha256:9e108ccad33b5ebd5e2417f0eae5237f08cfe07db31376510a1f3cd4b9b479d0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.458159Z digest=sha256:3754fdfeafae8e420996eadb958e7dd8b906082a9b909ef5dc07d08642ede9b3

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

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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=sha256:0eb4923641131fdfadd63a96ddbb8fd295829f4280f24e592962cc56a0ad191c

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=sha256:3eee897e0f0b4c83ac489707715c7bc446d3aa34c0765fdc219b43738614b57f

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=sha256:7f916b7cac36fc57bfaaa56bf1bdb3de65663f761fb9ebed01698fa8935c32b9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.471323Z digest=sha256:1c87b912cf4831e6141306264332045b93b1174b472646cec0cd2e0cd83f971b

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:b4c323b5ef57663bafc6c0c036b15856fd66d9dbc54072c391ef17a0fd47ca93

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
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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.477695Z digest=sha256:e8be2d74d6b918e059a2b5b570a9302bd81f22f0a77f3094d5490bdd13f31a14

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.480528Z digest=sha256:5decefb970b06efd8ace6c979bb9b6ba9a6f6d699e225de44397e4aa69c09d1e

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=sha256:5cd1d07efe44ec97af7560773bfe07e97129e6126afaa074327574876e430c11

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:abbc2d9f60ef8a65c747033bb3bbc9d410555f56e70338b71d36c86d6a95970a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.490319Z digest=sha256:9eeb255426ddf60b917f03541b2c97a81ec8334441d35a6dcddc53167364c0f0

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:a7ec168c96d64d29b2d3c8a8590a0e7b7d0e08795a645a02495689b8b52709cc

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=sha256:866a273aa6129c51de9c3f818706d1bdd48d49be610e811dd4752536bea78f5b

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

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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=sha256:553245938e0c26176960851b9649ba183b186cc80022722d77c1ad92b1bcc4f6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.502832Z digest=sha256:5bfa238c53a50004f0ca726afb3370ee150a7b14a4c24ca797edb25043c2f8a9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.505644Z digest=sha256:c82495dfab2fd714b976a245d0c77531df1027d77a8f946c21fb75509e932948

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:accd2ef96154abc66aa2eae5ebbb2fc13488a881990dfed07bb13d609280bec3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T20:56:33.511895Z digest=sha256:faa7a1874d4ab79b692165ae3cbe6c0e0bab8d68cc342c1b14b86aa8114f617a

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:e409283bdd37438734ca02b752b00a6df51768445ff583425cb720b3b17d8027

Pith citing papers

No inbound Pith citation observations are available.