Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning general Gaussian mixtures with efficient score matching
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.18893.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T22:01:57.455219Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:29:30.787035Z
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 1f971f30-7b3b-426f-93a5-61824580e16c · inbound
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation cites this paper.
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Learning general Gaussian mixtures with efficient score matching
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:01:57.455219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4245277-e141-4315-a5a3-7f301de08a3a · inbound
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis cites this paper.
Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis Learning general Gaussian mixtures with efficient score matching
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:15:03.000215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3392d0b-9594-4895-a049-e7ee509c85b7 · inbound
Noise Schedule Design for Diffusion Models: An Optimal Control Perspective cites this paper.
Noise Schedule Design for Diffusion Models: An Optimal Control Perspective Learning general Gaussian mixtures with efficient score matching
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T08:01:16.042174Z
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 7551f3ef-de3a-48b8-9b09-2b28a5ed0a10 · 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 Learning general Gaussian mixtures with efficient score matching
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:36:39.424227Z
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 c57de5b4-bd0d-4b2d-a350-fa09350bed2e · inbound
Global Convergence of Gradient Descent for Score Matching in Gaussian Mixtures via Reverse Fisher Divergence cites this paper.
Global Convergence of Gradient Descent for Score Matching in Gaussian Mixtures via Reverse Fisher Divergence Learning general Gaussian mixtures with efficient score matching
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:29:30.789609Z
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.