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Paper Citation Record · LEDGER

Deepfake Media Forensics: State of the Art and Challenges Ahead

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.00388.

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

pith.paper-citation-record.v1
2408.00388 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:36:33.607478Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T07:36:04.436552Z

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 9f7b40f1-8a69-48a7-b5a0-c9ebaa3957ef · inbound

Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of CNN detectors cites this paper.

Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of CNN detectors Deepfake Media Forensics: State of the Art and Challenges Ahead

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T23:41:04.502322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:41:04.502322Z digest=sha256:5124554ec6025ff9c11790989b4684cf6e7f89a87fa8104e30d06614f9015bcf

Observation d5ebf9b9-65e7-4a6c-9ac7-0c2c790bea80 · inbound

Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation cites this paper.

Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation Deepfake Media Forensics: State of the Art and Challenges Ahead

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T17:36:33.607478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:36:33.607478Z digest=sha256:1717385197c04a962dca6e15a95e22f715fa1cd53d8aca633adfd190b313eebd

Observation e5821635-f03a-47b4-b5c1-1fafd8e71ba9 · inbound

SAGA: Source Attribution of Generative AI Videos cites this paper.

SAGA: Source Attribution of Generative AI Videos Deepfake Media Forensics: State of the Art and Challenges Ahead

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:35:17.878684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:b37471c5671c5e066174e9202c8faf8cb0cd806e6234d3ddf4dc655b0fc0b4c4

Observation 8ed7b121-f891-4c5c-8ef9-988cf86369d6 · inbound

Trustworthy Image Authentication using Forensic Knowledge Graphs cites this paper.

Trustworthy Image Authentication using Forensic Knowledge Graphs Deepfake Media Forensics: State of the Art and Challenges Ahead

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:39:45.172262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T08:39:35.247055Z digest=sha256:e3fc85a922e79d535cbb4eabfe83646e665c23a5227b939a9490e2596bd3a27f

Observation 1d089695-9145-4e40-b3de-e47f6964f069 · inbound

Face-Trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators cites this paper.

Face-Trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators Deepfake Media Forensics: State of the Art and Challenges Ahead

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-09T07:36:04.438301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-09T07:32:47.178175Z digest=sha256:19d183dfaf7d79837e6f86da53ec6263115322b15245d23e471b778e6ad91a37