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Paper Citation Record · LEDGER

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2001.03024.

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

pith.paper-citation-record.v1
2001.03024 v2

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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:22:26.893752Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:05:59.858660Z

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 7d64e101-9654-49be-9aee-54c1a313047d · inbound

Hindi audio-video-Deepfake (HAV-DF): A Hindi language-based Audio-video Deepfake Dataset cites this paper.

Hindi audio-video-Deepfake (HAV-DF): A Hindi language-based Audio-video Deepfake Dataset DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T14:22:26.893752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:22:26.893752Z digest=sha256:8e8d6e9119bec765b083df543cdfe959768ec6379575cc074880e2f7adccd936

Observation 4ea0d829-ed47-4b90-ba33-908e6edc1354 · inbound

Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.

Visual Language Models as Zero-Shot Deepfake Detectors DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:25.789130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:45:25.789130Z digest=sha256:16ac3f54fbfabdd42828760950ac7269b45c4e6c3fa8fbca201de1b425a0dea8

Observation 5d75cd65-4e7c-427f-be67-70edd702e240 · inbound

Exposing and Mitigating Temporal Attack in Deepfake Video Detection cites this paper.

Exposing and Mitigating Temporal Attack in Deepfake Video Detection DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:05:59.863683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-11T01:55:47.590204Z digest=sha256:10206b0e2634039be27f7b9a59498e18ca78c186107284c7731c633cd624c35b