Pith. sign in

Paper Citation Record · LEDGER

Generative model for optimal density estimation on unknown manifold

As of 17 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

Typed states for the displayed outbound observations.

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

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

  • verified exact1
  • verified fuzzy8
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.866034Z digest=sha256:87709fab8a3c28472b4049570ce86ab6e9437c74bd18c6fc86aabf9ff7612fca

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.234008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.871735Z digest=sha256:da6c84f710a57544564550554feaf3a21b248bd5c69676e9743555e22a6794ab

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.286068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.852331Z digest=sha256:fc0e8025fc7aa185b0944c49df58835665bbfe69858620623244ec05c5df3b9d

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:44.828355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.828355Z digest=sha256:22e39480e82f049c290d5633269b7f5588b323d47b599a601a95b3e7329186d2

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:44.839519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.839519Z digest=sha256:e748eb190b021e185a34d0f60882c8212663767279057a29b460cc3be89fe15a

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

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:45:45.268433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.859891Z digest=sha256:710598b3c54f9e2247cccbe31821ef40618ae6ef5fd953758ab680f03e9a5948

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:45:45.217287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.877748Z digest=sha256:01a4775cf6709e54a738f26b4fd12c7a52f4f77628a3840ee3c97d7a6c210a27

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

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:45:45.197356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.883131Z digest=sha256:2d9702314364a3edd94db24a8c9fc41a8e1005592367347482b445069f632655

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

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:45:45.180408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.889831Z digest=sha256:767d795b0376b2003f00ce7d6a1a3e21a0ca79f950a5d73e7d5b13f48a07fb40

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.894427Z digest=sha256:80f7164df4719bbb5f10265215217b09572a283a0a0d047f4895014734853c3b

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.899186Z digest=sha256:e52ae1504f142f94f88a2970d6165f8c397c008c3efefbf26d07d3ecbe3894c3

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.904969Z digest=sha256:676d689e17be263396ef7548a5a256eb7ffc30b9bb989ba3e835ec7eb328f403

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

Resolution
unresolved
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:e09280c4c2cd3bf931b8946b563c7deaa9b2e8c7e3c725c57bf8c31d92ec25dc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.803376Z digest=sha256:fbfde22e1af2489ee6a2b49bc443e02d3155d777d1e9251e4ac09fa5d23bf390

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.821247Z digest=sha256:52974d1db6e93ffd40e204b3f21c1e76bd06106fccbaf1340448ce4bae8af8dd

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.798144Z digest=sha256:29796511c0babeccfa52a2e76ed3beeaa843d87dba2d2589ad2a7c5d1bc93c3b

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

Resolution
unresolved
no resolver link, observed 2026-08-15T18:45:44.815824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.815824Z digest=sha256:8cde240bb07a40427624db470ede4b005173457bad8e57500a057bf48a70d0f0

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T18:45:44.844950Z digest=sha256:ca980d5c87f72d2d51856e97b2e94eab94d831d359c3e230351bab1557131952

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

Resolution
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:f848bc53b4d8c7361af621eb4ffee36e2279a45f43a0ccecb179184f729308d5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:45:44.808961Z digest=sha256:076ddd91d9443a869f6084686bc8cf4188d6b63731b5894c5c0020380dcede44

Pith citing papers

No inbound Pith citation observations are available.