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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 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 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:27:37.374400Z

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

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation df76071a-4f9c-46f6-95a3-a688a574a1b9 · inbound

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models cites this paper.

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2

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no resolver link, observed 2026-08-09T22:27:37.374400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:27:37.374400Z digest=sha256:275c0e171ff67e65986efd6e4724689a00fef3704f7e5f45a4ada4d8416c9b3b

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

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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:bc68570da63fea3a5c69fbc9dca81de2d23642e9b2e8dc17bb88f5c59285be73

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

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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:b92718ab9d796e37aac800ffd1484c7a03de80c5d7ae2e240965ce3c929cd22a

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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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:dab6afb1b4dd7bcdb9120605125c88a766686487f6c7f4140cbd447e9baf1601

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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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=sha256:6e75d7adb8d68bf64627d8df702928ce27c06b6f83d8d232fae797fcddbed592

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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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:e1b8c2f9755d8ca81a0689f10917da97ed75318096fe8bc70b0ab264d15d52be

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

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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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=sha256:556e8a9adce89a724cc344f5d633ba571baad274e56558c2f7578082795ecf83

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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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:ed43fafa2c9299876651bd6f98ad64f21d2c5bc07de0679d88c1fe4f861db56a

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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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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

source=pdf_text observed=2026-05-15T06:41:38.834864Z digest=sha256:9e2b2f2a0ca866b1ca5a15354aa27e219a946bf48b8c8de9d828ba776edf2c3f

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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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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

source=arxiv_source observed=2026-05-10T16:23:50.751356Z digest=sha256:13a87955d91171c900411cc8b0fda80dcaf5883abd00b5945eba213b9eaa0e82

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

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verified exact
arxiv_id, observed 2026-08-10T01:08:57.685143Z

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=sha256:53d7c25510fed8c949c61dc078178f3b5b2e761ce55597caa9b081e710e231aa

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 2026-08-10T01:08:57.685143Z

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=sha256:8c4d69b3de57c9db47272caa6fa325c6d6d17a2d585e9a3f9326fa2e06385e97

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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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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

source=arxiv_source observed=2026-05-08T13:53:59.565702Z digest=sha256:964d3f59bdce19dce7b60d7a0c68005e133a6ab9ce9f15abcc39f034ed17cda9

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 2026-08-10T01:08:57.685143Z

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:d323ed97e996b51754c110a743efc03fc067ce62e0b3a181c6e5372c96571875

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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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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

source=arxiv_source observed=2026-05-14T18:38:49.566101Z digest=sha256:61e6eb5961b9e423a983260c0e1be9ef9a7afc7334ab518157d6668f00e0b1eb

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 2026-08-10T01:08:57.685143Z

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:a237cfb9c97ff5476fada1922e88017de290604964a77d2381c8e0e31d3b34a9

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 2026-08-10T01:08:57.685143Z

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=sha256:49a9bf29c9f5e56071e3c30601ed19b1031b639584c324564feeb91c96605180

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 2026-08-10T01:08:57.685143Z

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:e26f494c61f9e0b1329e719a8fa2d835d92ac36a2d7b18f67769857d24243743

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 2026-08-10T01:08:57.685143Z

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:ce9ced64c9946c0a1e644718953b7d3241b52baeeb1c3500363081a70332aa69

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

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verified exact
arxiv_id, observed 2026-08-10T01:08:57.685143Z

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:f544fd9adcb342306a637725b61205374a4d98c2db09cfc31721bf5d76902ee1

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

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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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=sha256:885fc0b0b91b1266fd7e86914d97ecc60c654e345222c2d19b5b821ffbfcc724

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 2026-08-10T01:08:57.685143Z

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=sha256:5d9e29e0a21f0996f90633ca2b9d0a5a4572d297e2b9355d7faa8f315d0d5e71

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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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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:af96d742e690815220a5b3597780ab012ac9cdb4db62ee8e0f73875bb9994170

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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arxiv_id, observed 2026-08-10T01:08:57.685143Z

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=sha256:3f0c306a283541a3bc154afd09df932c3044455dace7464b319caa0c82ac72cb

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

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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:c223d2d089907affb244df14985f446af9e2ea094edeb37d2534beb9c592c444