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Paper Citation Record · LEDGER

UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.12752.

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

pith.paper-citation-record.v1
2210.12752 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:25.753489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:22:46.779259Z

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 3c6ee288-8fee-4707-896d-5900f05904ae · inbound

Practical Manipulation Model for Robust Deepfake Detection cites this paper.

Practical Manipulation Model for Robust Deepfake Detection UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:25.753489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:31:25.753489Z digest=sha256:5c3e705f78c69af024826d0b001c7761f0ea2677bf4b4649a4ca47e222855c42

Observation c6e011ce-b672-497b-b9fb-26c8904c93bd · inbound

Trident: Detecting Face Forgeries with Adversarial Triplet Learning cites this paper.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:20.917568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:20.917568Z digest=sha256:cf004dc8a674c493004824f6c57a49f7f341ea48ca38d56803cb056ea60c0219

Observation ecc0d3ce-c205-48f0-8404-08e09538c86e · inbound

Robust Deepfake Detection, NTIRE 2026 Challenge: Report cites this paper.

Robust Deepfake Detection, NTIRE 2026 Challenge: Report UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:36:15.989778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:54:23.206056Z digest=sha256:2e3c8afd8002680782958ee92988bd168b761731e699a94686bacb7be49ececd

Observation 622ed844-f2d0-4c1a-9784-7b32d1cf49a4 · inbound

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

The Regularizing Power of Language-Training Deepfake Detectors UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:22:46.781261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T23:19:55.111556Z digest=sha256:b80008ced5089e04af438ba05cf0a26fa2c3a5f033fc97ca8d12cca012cefd83