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Paper Citation Record · LEDGER

Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2409.18804.

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

pith.paper-citation-record.v1
2409.18804 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:16.580890Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.498904Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ebbc430f-6932-43a3-a456-214ea9ae070c · 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 Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:16.580890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:16.580890Z digest=sha256:9de6bf388b6ceccec22c96228ab5aa113fb23be4a4afd1c52bf114929f3f374e

Observation 2c46298c-6d55-4a35-af66-ed7d47514f84 · inbound

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models cites this paper.

Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:43.063830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:49:43.063830Z digest=sha256:e3a36e942e8dee3d5b721e4fbd9bf3084e6a26e7ca3bafd7e1e1a26ddbf5e317

Observation 74e011cf-8938-4d64-9676-24a83a04fca6 · inbound

Faster Diffusion Models via Higher-Order Approximation cites this paper.

Faster Diffusion Models via Higher-Order Approximation Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2

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unresolved
no resolver link, observed 2026-08-06T21:45:12.399236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:12.399236Z digest=sha256:33bbf52dd6bcb6d23f0c89c0f8fb9d191273df47b238dd8151d7510fb153ce2a

Observation 00cb1544-b0b2-4974-90f6-df1c0d567569 · inbound

Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis cites this paper.

Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 4

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unresolved
no resolver link, observed 2026-08-06T20:15:02.178672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:15:02.178672Z digest=sha256:6be1b5e14194b306640ae96cca2535d748609a80076016d0187ac0abf5260243

Observation e9c142e2-377a-462e-a619-ad3e9ec5a6eb · inbound

Generalization bounds for score-based generative models: a synthetic proof cites this paper.

Generalization bounds for score-based generative models: a synthetic proof Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 1982

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unresolved
no resolver link, observed 2026-08-06T19:54:28.161064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:28.161064Z digest=sha256:2bedab4a03010852bd918e5f2c7378a9d632067d813fdacad58d883062e496c6

Observation 0b3283b0-8492-46ce-b9bf-8544f606a05c · inbound

Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies cites this paper.

Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:54:22.949613Z

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=2026-05-21T21:51:41.885012Z digest=sha256:ba9d2e567caed2ccfbc99a42c807a5a3bb265bbc7ec2fc3233fc0a542e45b756

Observation 5ac679d9-b798-4618-b7af-24080ac65c1e · inbound

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

Fast Score-Based Sampling via Log-Concave Reductions Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 3

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unresolved
no resolver link, observed 2026-08-03T13:36:13.734744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:36:13.734744Z digest=sha256:3ac8bd134908f535f86eb94d047f86757617eced3f5774a785a1d746ad44d3b5

Observation 65f92eb8-dda2-453e-a1f7-a1842c682250 · inbound

Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity cites this paper.

Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 1

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verified exact
arxiv_id, observed 2026-05-15T06:45:11.159045Z

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=2026-05-15T06:41:38.834864Z digest=sha256:e9429e3314127357539e47259debf0cee0d71c8d28a4105253af170df785fc26

Observation a02f17ff-0b29-4f60-ac97-fbe71cf117b4 · inbound

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs cites this paper.

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 4

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verified exact
arxiv_id, observed 2026-05-11T08:56:02.578444Z

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=2026-05-10T16:23:50.751356Z digest=sha256:776381500d1375070b5030a4fe8ed6be1ca03c1950183a0b4758e64957c77fec

Observation a60d9849-604d-402f-b2fc-85ffd0e40c4a · inbound

Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems cites this paper.

Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:30:44.409612Z

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=2026-05-08T18:23:07.197611Z digest=sha256:b0bdbceeaea94d6a3c62e03cb8f2195870e1446c1c9f5a67e69ed5166212feb1

Observation 59e69ddf-db31-443e-92f7-eb8dc03a996b · inbound

Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems cites this paper.

Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 1

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verified exact
arxiv_id, observed 2026-07-01T00:15:09.059514Z

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=2026-07-01T00:13:09.986377Z digest=sha256:a4b58880484aee7e9cded29a500f189ffb55ddc6c9bdf2dd27a54d2c02ca8516

Observation 9794aee9-dbd3-424c-97de-cd12e0ea3db2 · inbound

Understanding diffusion models requires rethinking (again) generalization cites this paper.

Understanding diffusion models requires rethinking (again) generalization Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:46:10.715549Z

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=2026-05-08T13:53:59.565702Z digest=sha256:89126768212b0868285e3fa4664323a3da8912e472b2b20e61f7e485d769cad9

Observation 1f452728-9513-438e-9951-079956ea0105 · inbound

Statistical Convergence of Spherical First Hitting Diffusion Models cites this paper.

Statistical Convergence of Spherical First Hitting Diffusion Models Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 3

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verified exact
arxiv_id, observed 2026-05-11T04:15:58.206859Z

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=2026-05-11T01:52:20.620447Z digest=sha256:83ef8cfe6b983e79adc0cd6d36d3d16f8410ce6c223dcd72be6f93606558734b

Observation b5e133c2-4fe3-43bc-96ee-c730d7907e98 · inbound

On the Limits of Latent Reuse in Diffusion Models cites this paper.

On the Limits of Latent Reuse in Diffusion Models Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 65

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verified exact
arxiv_id, observed 2026-05-14T18:39:22.027758Z

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=2026-05-14T18:38:49.566101Z digest=sha256:69e8e938df4621b727c308168ff7c8464a496d7b2305d11457a373a3efcbdab9

Observation 99f0057b-e034-4b1b-9c44-2737be0a572a · inbound

Finite Sample Bounds for Learning with Score Matching cites this paper.

Finite Sample Bounds for Learning with Score Matching Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 1

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verified exact
arxiv_id, observed 2026-05-15T04:59:45.724000Z

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=2026-05-15T04:57:27.149229Z digest=sha256:9516af2882d8daab24773f95366185317af1e456092b4856c6b6f1c62722ac30

Observation e5bc095e-5de1-4a83-ac9f-ae2a1042f7a2 · inbound

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds cites this paper.

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 1

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verified exact
arxiv_id, observed 2026-05-20T20:53:43.736523Z

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=2026-05-20T20:49:46.204608Z digest=sha256:353c01c1702d514b22940388dad7069ad4a29d755d6d6fde9d3f7f55025d0ceb

Observation e8fddc97-875a-4442-8719-024c3a83f121 · inbound

A note on connections between the F\"ollmer process and the denoising diffusion probabilistic model cites this paper.

A note on connections between the F\"ollmer process and the denoising diffusion probabilistic model Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 1

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verified exact
arxiv_id, observed 2026-05-20T00:42:54.637341Z

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=2026-05-20T00:41:30.640984Z digest=sha256:d6005fcbf89f72cfe21b2785a4d819d5e3c0f7d8fa065ccee413840ed4a43952

Observation 6e06263e-b4be-4825-b77d-7fb9a2a94f2c · inbound

Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine cites this paper.

Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2

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verified exact
arxiv_id, observed 2026-05-21T07:39:49.355339Z

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=2026-05-21T07:36:09.475575Z digest=sha256:ce44f40a91217a6971993bbe0c3f4d901b6257d90d2540d2cd0056e2aad655b6

Observation 92461ffc-0615-4f4b-8a0b-496fd4ab3863 · inbound

Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation cites this paper.

Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:36:39.420755Z

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=2026-05-25T05:34:36.228155Z digest=sha256:7360dc803b649211b60ae61a6dd64fdd169617c5ba016f8a12d8de6a7a2256b4

Observation 128cfbfa-5d5e-4c1d-ae41-24363166be5b · inbound

Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry cites this paper.

Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:54:01.517802Z

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=2026-06-29T22:44:39.440271Z digest=sha256:ef9d3c0b305bbb440f8207b24af668c6bdcfb5483fd4de24b808d607c1c2028d

Observation 2d04dca9-5393-4b0e-842d-c77aff8803b4 · inbound

Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry cites this paper.

Diffusion Image Generation with Explicit Modeling of Data Manifold Geometry Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:17:28.996904Z

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=2026-07-02T23:11:14.733439Z digest=sha256:a3b6a5c0c28feb711e6b96b3e17f99fbf1a93329b8f126d9350b0dbf2230b0d2

Observation ff22a3b5-76c4-419b-9cd5-61ccedffc64a · inbound

Optimal score function estimation via derivatives constraints cites this paper.

Optimal score function estimation via derivatives constraints Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 4

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verified exact
arxiv_id, observed 2026-07-04T02:49:25.369804Z

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=2026-06-26T18:53:06.962744Z digest=sha256:38d4714a43853a19b663206a6257052b91fc51fd5daf6cd9c13c0e76a6dbdf84

Observation 3ef4ef5c-9b70-42d3-a573-48d443b2fe5e · inbound

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices cites this paper.

Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2

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verified exact
arxiv_id, observed 2026-07-04T12:49:52.500242Z

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=2026-06-26T05:56:29.406425Z digest=sha256:769909a3ceb8c6604937690d706c7d30c6f8bb048a2b3efb2285388eaa37b5ff

Observation 38c1bf84-c394-4025-ab96-2bd50ef099ef · inbound

Exact simulation of diffusions and improved algorithms for log-concave sampling cites this paper.

Exact simulation of diffusions and improved algorithms for log-concave sampling Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T11:25:21.022952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:25:21.022952Z digest=sha256:a6b84a39331b738b1cb4232e2ad81881b6eb78b2dfd7ac88aa220cbadc2929b8