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Paper Citation Record · LEDGER

Revisiting Simple Baselines for In-The-Wild Deepfake Detection

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.04150.

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

pith.paper-citation-record.v1
2509.04150 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:24:26.108811Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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  • verified fuzzy16
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2185d0e4-ac52-4297-ba51-1165cb886ff3 · outbound

This paper cites Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence

Reference 1

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Observation 7e7b5195-36cf-4d09-abd0-1ba253cc276e · outbound

This paper cites MesoNet: a Compact Facial Video Forgery Detection Network.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection MesoNet: a Compact Facial Video Forgery Detection Network

Reference 2

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Observation a620eeb6-1ac4-4eec-b7bf-632e2f1b8249 · outbound

This paper cites Socialdf: Benchmark dataset and detection model for mitigating harmful deepfake content on social media platforms, 2025.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Socialdf: Benchmark dataset and detection model for mitigating harmful deepfake content on social media platforms, 2025

Reference 3

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Observation 04252ad0-74e9-4e18-b275-5cbf9f9c3f28 · outbound

This paper cites Real-time deepfake detection in the real-world, 2024.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Real-time deepfake detection in the real-world, 2024

Reference 4

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Observation fea05298-0abd-448d-bd08-ce7c20fc8ee5 · outbound

This paper cites Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

Reference 5

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Observation c2bf9c85-6e0a-4baf-a489-93312ccd2ce6 · outbound

This paper cites Reproducible scal- ing laws for contrastive language-image learning.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Reproducible scal- ing laws for contrastive language-image learning

Reference 6

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Observation f8bdd919-0b11-4c74-9995-49a5883e0aed · outbound

This paper cites Le, Jiwon Kim, Simon Woo, Shahroz Tariq, Alsharif Abuadbba, and Kristen Moore.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Le, Jiwon Kim, Simon Woo, Shahroz Tariq, Alsharif Abuadbba, and Kristen Moore

Reference 7

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Observation d3c5b149-0be4-412d-bd82-0e461fef7e82 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation 877d8759-567b-4580-aefb-680a3ae0ab89 · outbound

This paper cites Unmasking deepfakes with simple features,.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Unmasking deepfakes with simple features,

Reference 9

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Observation 5a60770f-4b9e-4ba5-bc3a-b1857ed0e668 · outbound

This paper cites OpenCLIP Model Profiles.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection OpenCLIP Model Profiles

Reference 10

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Observation 6ea94d22-bf79-4ed5-96a7-62675a891a4f · outbound

This paper cites Deep Residual Learning for Image Recognition.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Deep Residual Learning for Image Recognition

Reference 11

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Observation e53720e9-f882-4309-8c4f-e78f5d702733 · outbound

This paper cites Deepfake detection using deep learning meth- ods: A systematic and comprehensive review.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Deepfake detection using deep learning meth- ods: A systematic and comprehensive review

Reference 12

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Observation a24c4beb-9b52-4741-bf6a-909b7734ef41 · outbound

This paper cites Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Asvspoof 2021: Towards spoofed and deepfake speech detection in the wild

Reference 13

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Observation 60c2dacc-899b-48ec-b402-0f8dd76514a6 · outbound

This paper cites A ConvNet for the 2020s.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection A ConvNet for the 2020s

Reference 14

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Observation 8c0e656d-1ff0-4a6f-9466-1451e6a6f1d3 · outbound

This paper cites The creation and detection of deepfakes: A survey.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection The creation and detection of deepfakes: A survey

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a1960236-222a-4899-b6e7-454ce7940cb6 · outbound

This paper cites A survey on the detection and impacts of deepfakes in visual, audio, and tex- tual formats.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection A survey on the detection and impacts of deepfakes in visual, audio, and tex- tual formats

Reference 16

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Observation beead610-be82-4015-b110-8b21fdb72aab · outbound

This paper cites Towards Uni- versal Fake Image Detectors that Generalize Across Gen- erative Models.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Towards Uni- versal Fake Image Detectors that Generalize Across Gen- erative Models

Reference 17

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Observation 3a582b93-f3c0-4f90-a832-f155f87b1044 · outbound

This paper cites Evaluating deep- fake detectors in the wild, 2025.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Evaluating deep- fake detectors in the wild, 2025

Reference 18

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Observation 43b35315-6d86-48d7-948a-10b3d09ab91c · outbound

This paper cites Deepfake videos in the wild: Analysis and detection.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Deepfake videos in the wild: Analysis and detection

Reference 19

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Observation 26d388a4-ae44-44e3-8199-423158c5d9cb · outbound

This paper cites Do Vision Trans- formers See Like Convolutional Neural Networks?, Mar.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Do Vision Trans- formers See Like Convolutional Neural Networks?, Mar

Reference 20

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Observation 6330c779-d556-4bf0-8590-cd74c57ba9b2 · outbound

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Revisiting Simple Baselines for In-The-Wild Deepfake Detection Unresolved cited work

Reference 21

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Observation 025c0f16-18bb-4426-835d-aef40a7bc2bb · outbound

This paper cites Con- tinuous fake media detection: Adapting deepfake detectors to new generative techniques.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Con- tinuous fake media detection: Adapting deepfake detectors to new generative techniques

Reference 22

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

This paper cites Deepfake Video Detection Using Convolutional Vision Transformer.

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

Reference 23

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Observation 41e8148b-75cb-41a2-b723-0449d3397230 · outbound

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Revisiting Simple Baselines for In-The-Wild Deepfake Detection Unresolved cited work

Reference 24

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Observation 61500eff-06e0-4a33-b530-14627e23260f · outbound

This paper cites Face Forensics in the Wild.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Face Forensics in the Wild

Reference 25

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Observation 5ca38876-947b-4c69-97d9-e447182255dd · outbound

This paper cites Wilddeepfake: A challenging real-world dataset for deepfake detection.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Wilddeepfake: A challenging real-world dataset for deepfake detection

Reference 26

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Observation 92806ed5-88f7-47fe-9e93-4c476e05ff34 · outbound

This paper cites Do Vision Transformers See Like Convolutional Neural Networks?.

Revisiting Simple Baselines for In-The-Wild Deepfake Detection Do Vision Transformers See Like Convolutional Neural Networks?

Reference 2022

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Pith citing papers

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