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Paper Citation Record · LEDGER

Learning Natural Consistency Representation for Face Forgery Video Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.10550.

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

pith.paper-citation-record.v1
2407.10550 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:36:09.326631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:13:18.738858Z

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 d9f4f702-4eff-40f2-a6bb-75d7f73a95ee · inbound

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection cites this paper.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Learning Natural Consistency Representation for Face Forgery Video Detection

Reference 218

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:25:47.820435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:06cd0ef36250785a71fd6f52c79c93f36760a3f42c4ea114528e4bd5ff5135f6

Observation cc8884b8-22f6-49b4-b607-2a7cd7e5050d · inbound

Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection cites this paper.

Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection Learning Natural Consistency Representation for Face Forgery Video Detection

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T23:36:09.326631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:36:09.326631Z digest=sha256:bf4596d5ac17caa4a8a4c59a37bb27a278a51a8dc27f7cf877a86661f1d98bb7

Observation 9eebd3f6-c452-4c2e-a2d1-f3e19667fdf1 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Learning Natural Consistency Representation for Face Forgery Video Detection

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:19.664219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T11:22:31.988852Z digest=sha256:a41d20de8cedeba391c7d88eecd64a834484799d60aed7b7ca88eb8396817fe8

Observation 706ebd69-5c7e-41c3-8362-81cc73b14263 · inbound

Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks cites this paper.

Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks Learning Natural Consistency Representation for Face Forgery Video Detection

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:13:18.740750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T13:08:29.414406Z digest=sha256:a40ee180658001443717727ec3708a6cef20ecd088120412cfdbccd3e1fc11f6