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Paper Citation Record · LEDGER

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.02347.

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

pith.paper-citation-record.v1
2307.02347 v7

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:29:53.697713Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:25:19.626123Z

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 2d58bb52-7703-4c1e-a552-4dea3cbe0c50 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:19.628940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T11:22:31.988852Z digest=sha256:abc11f94480e581c75d13c207a60cb73460a1d1cd901ee279116aa7f2a7c79f9

Observation bd015e5a-7d2b-49ec-b663-2910f2d61bd9 · inbound

GLID: Gated Local Intrinsic Dimension Repairs the Blind Spots of Face-Forgery Detectors cites this paper.

GLID: Gated Local Intrinsic Dimension Repairs the Blind Spots of Face-Forgery Detectors Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-01T14:29:53.697713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:29:53.697713Z digest=sha256:3cf0c64a187a7f952857f3804f6e89103403c0bb1e3f6594e6918b7796c276cd