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Paper Citation Record · LEDGER

Generative model for optimal density estimation on unknown manifold

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.19587.

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

pith.paper-citation-record.v1
2506.19587 v1

Coverage vector

measured 20 of 20 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-15T18:45:44.904969Z

measured 20 of 20 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

20 of 20 outbound references displayed

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  • verified fuzzy8
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4761b8c9-18e1-47c6-8fae-e91d08207e94 · outbound

This paper cites Decomposition through charts.

Generative model for optimal density estimation on unknown manifold Decomposition through charts

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.249972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:45:44.866034Z digest=sha256:fb4243961d9178e490f5c713b40ed098b790b16b46635cd11d965cb9909ebfe6

Observation 71eae614-7240-44f2-9a76-af6873f0f806 · outbound

This paper cites Let w ∈M∩ Bp(x, (4C3)−1ϵΓ), l∈{ 1,...,m} and v∈Bd(0,τ ) such thatw =Fg,φ◦g1 l (v).

Generative model for optimal density estimation on unknown manifold Let w ∈M∩ Bp(x, (4C3)−1ϵΓ), l∈{ 1,...,m} and v∈Bd(0,τ ) such thatw =Fg,φ◦g1 l (v)

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 543eb7bd-9e6c-4d82-a8d3-d1d82de254ae · outbound

This paper cites In the case whereΨ(u) /∈g2 j (Bd(0, log(n)1/2 + 1)), we haveζg j (u) = 0 so let us focus on the case whereΨ(u) belongs tog2 j (Bd(0, log(n)1/2 + 1)).

Generative model for optimal density estimation on unknown manifold In the case whereΨ(u) /∈g2 j (Bd(0, log(n)1/2 + 1)), we haveζg j (u) = 0 so let us focus on the case whereΨ(u) belongs tog2 j (Bd(0, log(n)1/2 + 1))

Reference 6

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f20c3ffd-fb19-46ea-8c41-5eafbe8a5a45 · outbound

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

Generative model for optimal density estimation on unknown manifold Score-Based Generative Modeling through Stochastic Differential Equations

Reference 7

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Source-reported events for the cited work

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Observation d1eaf0a6-e717-4338-8037-0368c8eb8b55 · outbound

This paper cites Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference.

Generative model for optimal density estimation on unknown manifold Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference

Reference 9

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Observation 18accbe7-a017-4d13-b488-75e21d4ce77c · outbound

This paper cites an unresolved cited work.

Generative model for optimal density estimation on unknown manifold Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:45:44.859891Z digest=sha256:79ca325945e3492b5d44ac2f348a359629ff4030488b136474cfcca21d731632

Observation d3b51748-b037-4cde-bdc2-3e8257da3751 · outbound

This paper cites sample of lawµ.

Generative model for optimal density estimation on unknown manifold sample of lawµ

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:45:44.877748Z digest=sha256:0665ab9aa64affacac193b2d9b1ef0ff0f83c9ee24c187d23bf669b2e4a29338

Observation a6995d7a-3673-4de0-83aa-e7f207d9700a · outbound

This paper cites an unresolved cited work.

Generative model for optimal density estimation on unknown manifold Unresolved cited work

Reference 14

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e678866d-67a8-47ee-8e73-8f641cf1f138 · outbound

This paper cites an unresolved cited work.

Generative model for optimal density estimation on unknown manifold Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:45:44.889831Z digest=sha256:4525e7b4374d5b481306d4cc0011e5382caf556da073ed6d4b13bd36dfcafac4

Observation b0c5772b-1736-4ba1-92a0-ba0be6b28418 · outbound

This paper cites Let πi be the projection on the tangent space ofM⋆ at the point g1 i (0) and Φ :πi◦g1 i (Bd(0, 2τ))→Bd(0, 2τ) defined by Φ(u) = (πi◦g1 i )−1(u).

Generative model for optimal density estimation on unknown manifold Let πi be the projection on the tangent space ofM⋆ at the point g1 i (0) and Φ :πi◦g1 i (Bd(0, 2τ))→Bd(0, 2τ) defined by Φ(u) = (πi◦g1 i )−1(u)

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.163279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f7473982-8e5e-4875-946a-704a8ac253e4 · outbound

This paper cites Let πi be the projection on the tangent space ofM⋆ at the point g1 i (0) and Φi :πi◦g1 i (Bd(0, 2τ))→Bd(0, 2τ) defined by Φi(x) = (πi◦g1 i )−1(x).

Generative model for optimal density estimation on unknown manifold Let πi be the projection on the tangent space ofM⋆ at the point g1 i (0) and Φi :πi◦g1 i (Bd(0, 2τ))→Bd(0, 2τ) defined by Φi(x) = (πi◦g1 i )−1(x)

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.146591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:45:44.899186Z digest=sha256:53492d468787e1020457eee938d188b11f8a40921cfc2dadc382361156c25f3e

Observation 4ab693d6-aa0f-430b-b3ec-86e6e3e180e1 · outbound

This paper cites Supposing thatµ⋆ satisfies Assumptions 1, in the caseN <A, we have dHd/2 1 (ˆµ,µ⋆)≤ 2≤ 2AN−1, (59) so we have the result.

Generative model for optimal density estimation on unknown manifold Supposing thatµ⋆ satisfies Assumptions 1, in the caseN <A, we have dHd/2 1 (ˆµ,µ⋆)≤ 2≤ 2AN−1, (59) so we have the result

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.130605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:45:44.904969Z digest=sha256:51884645464424b4eb2152331e4122dd6838d1c66a1d99faf2b55dd8f687ae12

Observation 86735b0d-5396-434b-b44a-a4389f56b67d · outbound

This paper cites Smooth transport map via diffusion process.

Generative model for optimal density estimation on unknown manifold Smooth transport map via diffusion process

Reference 1970

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no resolver link, observed 2026-08-15T18:45:44.834106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.834106Z digest=sha256:5fd9e2ccf3bdd800950360dfb421b5facede0cf4be3b1fb1082ecdbbd13e5a55

Observation bdf8a172-c386-4bd3-be14-accce283f4f8 · outbound

This paper cites On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension.

Generative model for optimal density estimation on unknown manifold On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

Reference 1997

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no resolver link, observed 2026-08-15T18:45:44.803376Z

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source=pdf_text observed=2026-08-15T18:45:44.803376Z digest=sha256:e7bad66d3fac21376813462e9934fac56113776bcc0e5b2e73f6d21422257bb0

Observation 9edcefd7-65a2-4ba5-a504-5036cfdfdc06 · outbound

This paper cites A Good Score Does not Lead to A Good Generative Model.

Generative model for optimal density estimation on unknown manifold A Good Score Does not Lead to A Good Generative Model

Reference 2001

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no resolver link, observed 2026-08-15T18:45:44.821247Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.821247Z digest=sha256:f73f4e689bc2a984db72094e475d1d9943ce0a5ebd09b75e87aa53e98126cf6e

Observation 903f3d76-de99-4500-ae73-4ee26175362c · outbound

This paper cites Jean-Daniel Boissonnat, Ramsay Dyer, and Arijit Ghosh.

Generative model for optimal density estimation on unknown manifold Jean-Daniel Boissonnat, Ramsay Dyer, and Arijit Ghosh

Reference 2003

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verified exact
doi, observed 2026-08-15T18:45:44.952931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4585ce03-e886-41e7-9e1f-90dac9d0e40a · outbound

This paper cites Alias-Free Generative Adversarial Networks.

Generative model for optimal density estimation on unknown manifold Alias-Free Generative Adversarial Networks

Reference 2006

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source=pdf_text observed=2026-08-15T18:45:44.815824Z digest=sha256:6db2fda7ce62e1203a0882529e7be52edc01b0a0088375074202f13cd0fa9eed

Observation 9c6bc2b1-087f-4336-94e4-b81a00454792 · outbound

This paper cites Application of conditional ddpm on the mnist dataset.

Generative model for optimal density estimation on unknown manifold Application of conditional ddpm on the mnist dataset

Reference 2016

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verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.301745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:45:44.844950Z digest=sha256:e989c0577202054bb5821f33af9418bc49d25a429a63805ddd7214415ef73f3b

Observation c38d1631-e576-43eb-9573-30acae01a2f5 · outbound

This paper cites Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions.

Generative model for optimal density estimation on unknown manifold Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Reference 2017

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unresolved
no resolver link, observed 2026-08-15T18:45:44.789705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.789705Z digest=sha256:b7f8f3c29eb3a2668436f8d038ecd5956d764d415d06890d72699567ed054413

Observation 3ba6e3bb-44ee-43d3-8f8c-92f378e781fe · outbound

This paper cites Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data.

Generative model for optimal density estimation on unknown manifold Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data

Reference 2024

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no resolver link, observed 2026-08-15T18:45:44.808961Z

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Unavailable: canonical work link unavailable.

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