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Paper Citation Record · LEDGER

MesoNet: a Compact Facial Video Forgery Detection Network

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.00888.

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

pith.paper-citation-record.v1
1809.00888 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:24:26.015075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:23:02.191676Z

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 7e7b5195-36cf-4d09-abd0-1ba253cc276e · inbound

Revisiting Simple Baselines for In-The-Wild Deepfake Detection cites this paper.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection MesoNet: a Compact Facial Video Forgery Detection Network

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T10:24:26.015075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:24:26.015075Z digest=sha256:aef13a0e4115594458a1edde94d02ce07706cfce0a0bc337561105325bc2899c

Observation a82743af-9fdc-4694-8a49-408a379f325b · inbound

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection cites this paper.

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection MesoNet: a Compact Facial Video Forgery Detection Network

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:23:02.193321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T17:22:28.944874Z digest=sha256:6b1a36a1c9fc42257117bb3bc5cbb111ee8bb9e1a372893a8907a960000aff83