Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.17673.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T09:36:57.881800Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T00:37:54.092291Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 52bd2db4-4b61-4562-a9cc-f20654ac5f68 · inbound
A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models cites this paper.
A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:36:57.881800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd2fccc2-e78c-4d92-93be-1fad62284c64 · inbound
Wasserstein bounds for denoising diffusion probabilistic models via the F\"ollmer process cites this paper.
Wasserstein bounds for denoising diffusion probabilistic models via the F\"ollmer process Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T00:37:54.095642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.