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Paper Citation Record · LEDGER

Deepfake Video Detection Using Convolutional Vision Transformer

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2102.11126.

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

pith.paper-citation-record.v1
2102.11126 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:28:11.984492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:56.950524Z

Reference resolution

0 of 0 outbound references displayed

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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 c50a97e4-d4a1-4e8e-b858-e7904419f097 · inbound

Face Deepfakes -- A Comprehensive Review cites this paper.

Face Deepfakes -- A Comprehensive Review Deepfake Video Detection Using Convolutional Vision Transformer

Reference 94

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unresolved
no resolver link, observed 2026-08-07T20:28:11.984492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:28:11.984492Z digest=sha256:8cf6621612a9bf0f9864b8e678118e851bfc14eb69e9f465e8810efc1c5db4c8

Observation e87ccc5e-53ab-4f06-8f84-6b408ee8b2c7 · inbound

PVLM: Parsing-Aware Vision Language Model with Dynamic Contrastive Learning for Zero-Shot Deepfake Attribution cites this paper.

PVLM: Parsing-Aware Vision Language Model with Dynamic Contrastive Learning for Zero-Shot Deepfake Attribution Deepfake Video Detection Using Convolutional Vision Transformer

Reference 25

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verified exact
arxiv_id, observed 2026-05-22T18:56:58.415921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T18:56:03.624933Z digest=sha256:db26797f09e30e80e19149cd1e3a1ca9ffb3e7936e028031eb8a80f357dc9463

Observation febc692d-c351-4c3a-85a6-300c68ce4ca3 · inbound

CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation cites this paper.

CAD: A General Multimodal Framework for Video Deepfake Detection via Cross-Modal Alignment and Distillation Deepfake Video Detection Using Convolutional Vision Transformer

Reference 54

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unresolved
no resolver link, observed 2026-08-07T15:26:58.916792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:58.916792Z digest=sha256:24ff8a4fe7ada81d5ffe1ce47f326a307d61a4bdcf461f788174aa314f4958c2

Observation d10221b5-d7cb-446c-9c54-a0daa77b0316 · inbound

Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection cites this paper.

Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 17

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unresolved
no resolver link, observed 2026-08-07T11:20:51.516704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:51.516704Z digest=sha256:9f826a88bee4a1119b668458691d8a648c8e27172bcaf2d4260c46da4179f598

Observation 1d102d3c-3ba1-4f52-872b-fd739e3f4398 · inbound

Enhancing Deepfake Detection using SE Block Attention with CNN cites this paper.

Enhancing Deepfake Detection using SE Block Attention with CNN Deepfake Video Detection Using Convolutional Vision Transformer

Reference 10

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unresolved
no resolver link, observed 2026-08-07T04:22:56.870431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:56.870431Z digest=sha256:b672df1db83646d4c9eb8243cfc10d6fbd48d0cb615c7e73ff1199064391a140

Observation 62a42389-165c-425e-a50f-009139c572a9 · inbound

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection cites this paper.

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 41

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unresolved
no resolver link, observed 2026-08-06T22:50:06.271382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:06.271382Z digest=sha256:14e717393521f1de1685ab8b32d2bd91cd6f0a0fcf979e6d362bc287fd5c7070

Observation cee69a35-f8c2-45c7-a9f2-edb430587cb6 · inbound

Revisiting Simple Baselines for In-The-Wild Deepfake Detection cites this paper.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 23

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unresolved
no resolver link, observed 2026-08-05T10:24:26.097831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:24:26.097831Z digest=sha256:4e5b291b75e6b5a87687323e431443c55acc6a5d844e5a0c655ea815f9fe230c

Observation fb192162-94e2-48e8-b051-6bbb263ac2f9 · inbound

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection cites this paper.

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:23:02.205187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:22:28.944874Z digest=sha256:b459ac22b4e20111a86ba5d3096305066f8f7c94231e6522c7f8515367209f66

Observation 3b06100e-c516-4c1a-9e5c-e2e666a8a496 · inbound

Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis cites this paper.

Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis Deepfake Video Detection Using Convolutional Vision Transformer

Reference 38

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verified exact
arxiv_id, observed 2026-05-11T09:41:03.357064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:53:16.831187Z digest=sha256:b44ced30e132c524c2f2962ec18aa0c5c125b0c4eb6cc4abf1e62fc831679221

Observation 913b3e10-d9aa-49d2-83e7-dbf6d41c89fb · inbound

Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework cites this paper.

Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework Deepfake Video Detection Using Convolutional Vision Transformer

Reference 44

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verified exact
arxiv_id, observed 2026-05-12T10:51:30.402188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T01:23:27.355803Z digest=sha256:eb68074cb1d3d6f245ae7d99f01bde8488bb785c0f3ba8685cdf73cfdbe052d7

Observation ba6d7716-4716-4018-a3f1-9a62ce9f7085 · 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 Deepfake Video Detection Using Convolutional Vision Transformer

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:11:25.471803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:30:32.107577Z digest=sha256:d2fa0815583deeb36aa4d285b554e797caf47c64bd691c9c992b20b018fbb664

Observation 9004c144-7d8c-4c1c-b8bd-4623892b71bb · inbound

EMO-BOOST: Emotion-Augmented Audio-Visual Features for Improved Generalization in Deepfake Detection cites this paper.

EMO-BOOST: Emotion-Augmented Audio-Visual Features for Improved Generalization in Deepfake Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 44

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verified exact
arxiv_id, observed 2026-05-20T05:48:04.310597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:47:45.259359Z digest=sha256:d064d95053663f0cc99cd209f84511f393a900b500426b4b43129aef787963d5

Observation c27be2ef-59d0-475b-be68-2d1959db0a9d · inbound

Architecture-Adaptive Uncertainty Fusion for Deepfake Detection cites this paper.

Architecture-Adaptive Uncertainty Fusion for Deepfake Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.952326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T01:59:15.589924Z digest=sha256:5ca4c2994b2ccb11363422ffff588cc9cfb32a8575820d3c676a31c2bb840023

Observation 301ee4ad-b05c-4089-9967-3ed109403058 · inbound

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection cites this paper.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T01:25:17.344843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:25:17.344843Z digest=sha256:7b6e936be2395ef8950aaafcd6b61f2a0665d5fac526794048803e134de17082