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Paper Citation Record · LEDGER

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.04364.

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

pith.paper-citation-record.v1
2401.04364 v4

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:34:10.588685Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:03:47.620046Z

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 8a8a8be2-bac5-4593-8825-5cbc2c8161f1 · inbound

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T14:34:10.588685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:34:10.588685Z digest=sha256:0071fc1e6a7a4d28c31793b312ebb6563ef51d9e29bf8be36aa3c3501d7b6e33

Observation c24bd814-709e-4af0-8fdc-4b0ca17eda71 · inbound

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

Visual Language Models as Zero-Shot Deepfake Detectors SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:25.863676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:45:25.863676Z digest=sha256:3793bf59b0a7c79a6d695763d27b5838b2ae492f985e9ddf82b9347a91e77ee5

Observation 658653db-fb7c-4875-9d2f-754747f9cbce · inbound

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users cites this paper.

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T22:03:47.624741Z

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=2026-08-05T22:03:46.156221Z digest=sha256:cbf7e6445c5fa5fbd3b1d21f51ccbe387e6577cac041884827af40420397cfea