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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:3ba7115a62e776b739403a95a182fc96e328e1755829917ca6c62b17e3c0d3dd

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=sha256:99a64de36678bbe02ff3a7bbbaacb4aabdd49bf562e3b37aefff11e0a7f1716f

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=sha256:3f9c4f4bbc39e8616a16a013de7160c3665da3109809572ac1c5cd023453d8ae

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

Resolution
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=sha256:7230caea787e14b491093686bb19f53c2b9c758ff49afbf4e2276f6ba603a204

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=sha256:5d4b8678ca0ecc8c672764696d05b3bf2a49337a8680ca1c15ac3e34b89023e5

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

source=arxiv_source observed=2026-05-21T21:51:41.885012Z digest=sha256:573005412df74bf1171908aa2322a3cfa500967975cb2e68c879d518e3c3b76a

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

Resolution
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=sha256:5f27afa2ce3b222a1023ae1369b38d71d89fbaacb7cb642076c8f4ea87eed9ad

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

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

source=pdf_text observed=2026-05-15T06:41:38.834864Z digest=sha256:f8956405549697bc1bbb51eada3388fdd2ad95979b52da405b46edcd099ae59e

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

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

source=arxiv_source observed=2026-05-10T16:23:50.751356Z digest=sha256:4ae53767755ece2b9eb7277962fd592281e796e07ca61c37c731cc24d14e3737

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

source=pdf_text observed=2026-05-08T18:23:07.197611Z digest=sha256:2912b382284da23c3a188fc4504cfeec5cb7208b365d50386b9ede69caceea8f

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

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

source=pdf_text observed=2026-07-01T00:13:09.986377Z digest=sha256:812e47ba87710bc68c2c17912c4cb3f22cb3bb232f4d7969ec8cbb3d4de2e41b

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

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

source=arxiv_source observed=2026-05-08T13:53:59.565702Z digest=sha256:9b65b4b429ebbce0b2ba5ed725b4bb913b87595046eccb2a960749245bddfdf3

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

source=pdf_text observed=2026-05-11T01:52:20.620447Z digest=sha256:bd3b542db22ad307374790dc11db581485cd7ca5cf4050fc3a7cc62519f0c76f

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

source=arxiv_source observed=2026-05-14T18:38:49.566101Z digest=sha256:4a17f70c002ce3f23b742d2ca7e30aa134153610e8e189b52b7d8cfd1d91b2eb

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

source=arxiv_source observed=2026-05-15T04:57:27.149229Z digest=sha256:9914b516ba7b195eb03c420db15b9c90c072d0c6648350848611eef9a6a21a01

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

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

source=arxiv_source observed=2026-05-20T20:49:46.204608Z digest=sha256:5ff09005c74aa6c9dbf602df9eb88a413e9183613361ac1f1a6db1ea82973325

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

source=pdf_text observed=2026-05-20T00:41:30.640984Z digest=sha256:d8718ac1f092678d18eca6aa61f3d055d42ea3cebf33d15af03b98d293d2987a

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

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

source=pdf_text observed=2026-05-21T07:36:09.475575Z digest=sha256:ceab45b67d1540f5c8c327e188b37c85baa42e1863b296220365cb01354d5056

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

source=pdf_text observed=2026-05-25T05:34:36.228155Z digest=sha256:f8c48253ed81d4a21c687bcf6ceabc3f423037cc2cecd7c1eb47de3004ef25c5

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

source=pdf_text observed=2026-06-29T22:44:39.440271Z digest=sha256:94cbffd65c3e845ed5043a2c4fba2f2a58226c89707256bedf355e8a71e23fb9

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

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

source=pdf_text observed=2026-07-02T23:11:14.733439Z digest=sha256:0d8107617f31f70b7e7cfcd691932a720990889a09a4d4ea4c5d41cdf50cc514

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

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

source=arxiv_source observed=2026-06-26T18:53:06.962744Z digest=sha256:885ab2b98faa3bb4b94643b0e16a215c6b115902d6246b3b83897480ce048825

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

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

source=arxiv_source observed=2026-06-26T05:56:29.406425Z digest=sha256:d31ef5c8a75224e629f5999b18da51f52333892f9094be536415f06e7b422cc3

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=sha256:473f20374c4a1d1366c9c8917c9261e3fbb99a3d92f3405c43cd10ba50a5e908