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Paper Citation Record · LEDGER

Detecting Deepfakes Without Seeing Any

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:57:43.155342Z

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 329e15fd-4d41-4a0e-86fe-881e18cf9f75 · inbound

DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization cites this paper.

DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization Detecting Deepfakes Without Seeing Any

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T19:57:43.155342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:57:43.155342Z digest=sha256:7410a35ae5cc8fd7dc255656baa1a93c1cabc6c2e88bc4b369631088ee2b69ab

Observation 80a80d7d-94d0-4ed7-a609-0174cd2ae0c4 · inbound

Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning cites this paper.

Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning Detecting Deepfakes Without Seeing Any

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T05:44:30.073469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:44:30.073469Z digest=sha256:2172b1f93b1b9d79cd256b3511c4dba32a30bcf320836c05799bac7710259fb3

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=sha256:35caa44d9b6c3dc09a086a6a91491fe48fefd2bf3720a1befbdaa6fe5236f022

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T14:34:11.257784Z digest=sha256:77ec343fe1c2141f1bb6edd8763a62a61371aaa2b92eea389b3e243215a48da6

Observation 31ccc85d-a09f-4002-ba7c-4f123e481734 · inbound

Foundation Models are Implicit Deepfake Detectors cites this paper.

Foundation Models are Implicit Deepfake Detectors Detecting Deepfakes Without Seeing Any

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T17:41:09.559241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:41:09.559241Z digest=sha256:b449187ef2931cfde3bfd6aa720d08055d0ffb3cc830a44056a0c0a4d7f41409