Paper Citation Record · LEDGER

KL Convergence Guarantees for Score diffusion models under minimal data assumptions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.12240.

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

pith.paper-citation-record.v1
2308.12240 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:36:14.425771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:58:46.881003Z

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 4ffc760c-678b-4ba5-a406-a42351ba545e · inbound

Robustness and Structure Preservation in Flow-Based Generative Models via Wasserstein Path-Space Divergences cites this paper.

Robustness and Structure Preservation in Flow-Based Generative Models via Wasserstein Path-Space Divergences KL Convergence Guarantees for Score diffusion models under minimal data assumptions

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:35:47.980270Z

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.

Observation aa58cfdf-d999-487c-9cc8-a6a178219a7b · inbound

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

Fast Score-Based Sampling via Log-Concave Reductions KL Convergence Guarantees for Score diffusion models under minimal data assumptions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T13:36:14.425771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb59cbfb-52e8-4a24-99c5-77a239f3ca3d · 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 KL Convergence Guarantees for Score diffusion models under minimal data assumptions

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:53:43.742062Z

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.

Observation ccacffa8-3656-42d7-8727-47e94fc40029 · inbound

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler cites this paper.

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler KL Convergence Guarantees for Score diffusion models under minimal data assumptions

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T07:41:14.959877Z

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.

Observation 6277a149-aefb-45e9-b259-4cfbe1394224 · inbound

A Mathematical Introduction to Diffusion Models cites this paper.

A Mathematical Introduction to Diffusion Models KL Convergence Guarantees for Score diffusion models under minimal data assumptions

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:46.882305Z

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.

Observation 46a2309a-00b8-4c02-b42f-848c8a8cdb4a · inbound

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling cites this paper.

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling KL Convergence Guarantees for Score diffusion models under minimal data assumptions

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T00:25:44.447580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.