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Paper Citation Record · LEDGER

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.03860.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2212.03860 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:16.092461Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T10:54:07.931309Z

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 10861321-3526-44b0-9a2a-8550526bf222 · inbound

Ambient Diffusion Omni: Training Good Models with Bad Data cites this paper.

Ambient Diffusion Omni: Training Good Models with Bad Data Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:16.092461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:16.092461Z digest=sha256:5fd3d539d4dae54b8f74cdf17348dba2dd2564047b982e1a0f3e7d9150642c48

Observation d79dda92-dc0a-48dd-8369-fef1aa326e5a · inbound

Diffusion Models Memorize in Training -- and Generalize in Inference cites this paper.

Diffusion Models Memorize in Training -- and Generalize in Inference Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:54:07.932720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T10:52:31.849094Z digest=sha256:87c5d9f15734ec028d6c901208d7ed3878e9200d4db3e36e5644be7d981c3016

Observation 87c1daa1-e2a1-4dd2-8668-cced382834ab · inbound

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation cites this paper.

Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-01T08:41:09.464477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:41:09.464477Z digest=sha256:7a68e925d7fdd5de3f40ed0939052c7bbb9e911186f4596fdbeb6f8833e77847