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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.

pith.paper-citation-record.v1
2312.14977 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:32:34.204528Z

measured 0 of 1 external citation measurements

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.

source=arxiv_source observed=2026-08-12T16:32:34.204528Z digest=sha256:bdb109d33d18d768f0964e70b4b9b204a3820b94cb8bd7d4372340d54204299c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T00:49:22.183457Z digest=sha256:7154bef9ac995153d9b189e65e6fc80aae2695fa0c7c9c066ecfa432e5ea4453