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Paper Citation Record · LEDGER

Detecting Deepfakes Without Seeing Any

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.01458.

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

pith.paper-citation-record.v1
2311.01458 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:48.414856Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:34:12.110240Z

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 d12cfa8b-3080-4e82-8fe1-b1feb64a32f2 · inbound

Low-Rank Head Avatar Personalization with Registers cites this paper.

Low-Rank Head Avatar Personalization with Registers Detecting Deepfakes Without Seeing Any

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:35:48.414856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:48.414856Z digest=sha256:4f4771799ff91001652bb9805082a2c8af699515aca01138378581db3b739ace

Observation 3212fcb3-2efb-4e3c-908c-35e5fe4794b3 · 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 Detecting Deepfakes Without Seeing Any

Reference 201

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:34:12.114740Z

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=2026-08-06T14:34:11.257784Z digest=sha256:08b7a007e9d36a48dfb4a0364188e4289276790440ba19764af253e73adf1cb2