Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.14977.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:32:34.204528Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T00:51:15.705177Z
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 5f88b946-9501-4c4b-bdc4-956d31cbb65e · inbound
Heuristically Adaptive Diffusion-Model Evolutionary Strategy cites this paper.
Heuristically Adaptive Diffusion-Model Evolutionary Strategy Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:32:34.204528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84d7e552-2f58-438c-8962-33bed734d9f8 · inbound
SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection cites this paper.
SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:51:15.707433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.