Paper Citation Record · LEDGER

Common Sense Reasoning for Deepfake Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.00126.

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

pith.paper-citation-record.v1
2402.00126 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:29.123849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.411917Z

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 f3499a9a-5ad7-4104-a174-92983e376e2a · inbound

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM cites this paper.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Common Sense Reasoning for Deepfake Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:29.123849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3270752-2c58-4728-b34b-ca4bfa94cc6c · 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 Common Sense Reasoning for Deepfake Detection

Reference 164

Resolution: unresolved; no resolver link, observed 2026-08-06T14:34:11.123708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea7e7c9-e6d1-45e1-b5f2-89e8f7455b46 · inbound

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

Visual Language Models as Zero-Shot Deepfake Detectors Common Sense Reasoning for Deepfake Detection

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:28.334369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9aeff53-2381-481d-9752-2e6c140fd9bb · inbound

DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection cites this paper.

DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection Common Sense Reasoning for Deepfake Detection

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:52:13.641460Z

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.

Observation a10a18cf-3300-44d4-88c1-5fa02297062a · inbound

MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization cites this paper.

MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization Common Sense Reasoning for Deepfake Detection

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:11:25.461204Z

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.

Observation bb166385-2072-47e1-be5b-e30a76975dde · inbound

The Regularizing Power of Language-Training Deepfake Detectors cites this paper.

The Regularizing Power of Language-Training Deepfake Detectors Common Sense Reasoning for Deepfake Detection

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:22:46.846383Z

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.

Observation ae526d0a-d7b6-41be-a60c-83da522914c8 · inbound

Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection cites this paper.

Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection Common Sense Reasoning for Deepfake Detection

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:51.413495Z

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.

Observation 2b8505ee-da70-4002-b884-30beb1cb10ec · inbound

XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection cites this paper.

XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Common Sense Reasoning for Deepfake Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T01:35:43.979206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.