Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.11420.
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 2026-08-07T10:35:36.527726Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:39:40.849275Z
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 1279af67-3c47-4d21-8d3c-00eb0a553762 · inbound
Sample Complexity and Representation Ability of Test-time Scaling Paradigms cites this paper.
Sample Complexity and Representation Ability of Test-time Scaling Paradigms Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:35:36.527726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 918d036d-fd43-4c8f-b507-87348840beac · inbound
Statistical Properties of Training & Generalization cites this paper.
Statistical Properties of Training & Generalization Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Reference 266
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:39:40.850965Z
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 b3dfafed-b261-4c62-b27a-7fed5edd9dde · inbound
Statistical Properties of Training & Generalization cites this paper.
Statistical Properties of Training & Generalization Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Reference 266
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:57:25.559828Z
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.