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Paper Citation Record · LEDGER

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations

As of 5 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2606.26384.

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

pith.paper-citation-record.v1
2606.26384 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:24:46.200846Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 9f9a5deb-58e6-417a-a0a9-3435e41240f3 · outbound

This paper cites A superb-style benchmark of self-supervised speech models for audio deepfake detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations A superb-style benchmark of self-supervised speech models for audio deepfake detection

Reference 1

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Observation f3f9cf18-a005-4a11-95f4-a2f734212ccb · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

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local_arxiv, observed 2026-07-04T15:49:57.128795Z

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Observation 3c64b874-81a9-4286-af47-53c6aebe1c5a · outbound

This paper cites AI deepfakes blur reality in 2026 US midterm campaigns.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations AI deepfakes blur reality in 2026 US midterm campaigns

Reference 3

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Observation 5d125a69-5efe-41d1-b65a-f8de9b2f395c · outbound

This paper cites XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Reference 4

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Observation 7597b17b-c618-4214-a897-8f771bf3846c · outbound

This paper cites Is space-time attention all you need for video understanding? InICML, 2021.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Is space-time attention all you need for video understanding? InICML, 2021

Reference 5

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Observation f1f4df36-7537-4074-9671-e169175decda · outbound

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

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

Reference 6

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Observation 86a1069e-c588-4ce6-b2e6-bd2885fbb09c · outbound

This paper cites Forgelens: Data-efficient forgery focus for general- izable forgery image detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Forgelens: Data-efficient forgery focus for general- izable forgery image detection

Reference 7

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Observation 2318a20a-07f3-4707-8e23-b265a8e975e4 · outbound

This paper cites Can we leave deepfake data behind in training deepfake detector? InNeurIPS, 2024.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Can we leave deepfake data behind in training deepfake detector? InNeurIPS, 2024

Reference 8

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Observation cdfb00e4-9c34-4989-b43c-38c431d19182 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Xception: Deep learning with depthwise separable convolutions

Reference 9

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Observation 5139dbab-eb1a-4e9b-ac0f-66e323d25b26 · outbound

This paper cites Raising the bar of ai-generated image detection with clip.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Raising the bar of ai-generated image detection with clip

Reference 10

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Observation c4ce2eee-c8f1-41a7-b0fd-6d7a30d8cc7a · outbound

This paper cites Forensics adapter: Adapting clip for generalizable face forgery detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Forensics adapter: Adapting clip for generalizable face forgery detection

Reference 11

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Observation a3d2b912-aa43-4749-b923-850b59e15ce1 · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations The DeepFake Detection Challenge (DFDC) Dataset

Reference 12

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Observation 6622223e-81c4-4ef2-9c5c-e158bc6490ed · outbound

This paper cites X3d: Expanding architectures for efficient video recognition.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations X3d: Expanding architectures for efficient video recognition

Reference 13

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Observation 81622244-fdf3-4940-a859-8d25564eecea · outbound

This paper cites On the content bias in fréchet video distance.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations On the content bias in fréchet video distance

Reference 14

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Observation 875d3d1e-e0ad-4502-a332-e5fc23c5e880 · outbound

This paper cites A kernel two-sample test.The Journal of Machine Learning Research, 13(1):723–773, 2012.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations A kernel two-sample test.The Journal of Machine Learning Research, 13(1):723–773, 2012

Reference 15

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Observation 4a809461-e4ef-4baa-8835-3b3da1e7b135 · outbound

This paper cites Leveraging real talking faces via self-supervision for robust forgery detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Leveraging real talking faces via self-supervision for robust forgery detection

Reference 16

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Observation 234326d7-20c5-4bbb-819a-330be2d65f4b · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 17

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Observation 7442d2f6-db65-4e20-8e51-6e50d37214c9 · outbound

This paper cites Implicit identity driven deepfake face swapping detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Implicit identity driven deepfake face swapping detection

Reference 18

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Observation a193119c-fbe6-488c-a92d-7068636fd1fd · outbound

This paper cites Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection

Reference 19

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Observation 528a93f4-232f-42f6-b050-0af68d4aa5fd · outbound

This paper cites Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms

Reference 20

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Observation 8e05c03c-9695-43a5-99e6-8bba97cbda9a · outbound

This paper cites Uni- formerv2: Unlocking the potential of image vits for video understanding.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Uni- formerv2: Unlocking the potential of image vits for video understanding

Reference 21

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Observation 8310b1c3-af49-424d-854c-5c1ae2a97d8f · outbound

This paper cites Celeb-df: A large-scale challenging dataset for deepfake forensics.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Celeb-df: A large-scale challenging dataset for deepfake forensics

Reference 22

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Observation c952eda5-78c7-44f6-8ce2-942e281c7853 · outbound

This paper cites Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics

Reference 23

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Observation 482d70ae-f210-4057-b6c9-e67456c1ba28 · outbound

This paper cites Ma et al.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Ma et al

Reference 24

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Observation 5c74292e-689b-4f00-9d36-2e2ed6a731e2 · outbound

This paper cites Detecting ai-generated video via frame consistency.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Detecting ai-generated video via frame consistency

Reference 25

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Observation a5d5cbf2-4016-4cf4-843a-8f1477a30922 · outbound

This paper cites Mlaad: The multi-language audio anti-spoofing dataset.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Mlaad: The multi-language audio anti-spoofing dataset

Reference 26

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Observation 40be5476-757a-4b2e-8cc4-2d13a5a7b604 · outbound

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What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Unresolved cited work

Reference 27

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Observation 9e1562f4-82e0-4bd5-bf05-a580c9613107 · outbound

This paper cites Exploring self-supervised vision trans- formers for deepfake detection: A comparative analysis.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Exploring self-supervised vision trans- formers for deepfake detection: A comparative analysis

Reference 28

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Observation 5b50ab53-be60-42f1-90a8-a12f31987a32 · outbound

This paper cites Genvidbench: A 6-million benchmark for ai-generated video detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Genvidbench: A 6-million benchmark for ai-generated video detection

Reference 29

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Observation b54d4f8a-eb5d-430b-a2d6-87879ef2d81b · outbound

This paper cites Attorney general jeff jackson warns north carolinians of investment scams on meta platforms.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Attorney general jeff jackson warns north carolinians of investment scams on meta platforms

Reference 30

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Observation a9ba8ebc-6aa1-4fa0-8916-e8835e85b270 · outbound

This paper cites INVESTOR ALERT: Attorney general james warns new yorkers of investment scams on meta platforms.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations INVESTOR ALERT: Attorney general james warns new yorkers of investment scams on meta platforms

Reference 31

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Observation 2ba130a4-335b-40d5-8381-c97662fc1e53 · outbound

This paper cites Towards universal fake image detectors that generalize across generative models.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Towards universal fake image detectors that generalize across generative models

Reference 32

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Observation c4732862-386a-485d-a222-189f7e21d4e9 · outbound

This paper cites Learning transferable visual models from natural language supervision.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Learning transferable visual models from natural language supervision

Reference 33

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Observation 2a1ff2d6-2bf3-4139-8265-79f929a982b1 · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Faceforensics++: Learning to detect manipulated facial images

Reference 34

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Observation 44044912-fe12-4e73-9e54-2daadfa02f4a · outbound

This paper cites DINOv3.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations DINOv3

Reference 35

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local_arxiv, observed 2026-07-04T15:49:57.183503Z

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source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:46b10214b2be102381cf0eef80c202e6935caadf4d29c3786e0478a8f64f9982

Observation 9df3caad-c6da-414d-8ec5-3fb0a69ff93a · outbound

This paper cites An information theoretic approach for attention-driven face forgery detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations An information theoretic approach for attention-driven face forgery detection

Reference 36

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source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:624567ec539b0c7e30105389c245b142da396f2871f61404ada60bc3243ede5d

Observation 040c978a-1837-4fcf-8ab5-1eec44775e45 · outbound

This paper cites Synthetic audio forensics evaluation (safe) challenge.arXiv preprint arXiv:2510.03387, 2025.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Synthetic audio forensics evaluation (safe) challenge.arXiv preprint arXiv:2510.03387, 2025

Reference 37

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arxiv_id, observed 2026-07-04T15:49:57.187166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:4cdf8838d4341b9862c2c1564c9b5d39cffc1d3edfe4fdae678576766fbfa044

Observation bd203dfb-97c6-4bc5-a1fa-6c30eb44fdba · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 38

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local_arxiv, observed 2026-07-04T15:49:57.173289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:9371a8a07819bd12520b1f4faf1e12c43a210ee173c76213bdcdf85659f7a4c0

Observation 790b458e-da57-4513-97c7-f2bd6427f0d8 · outbound

This paper cites Cnn- generated images are surprisingly easy to spot.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Cnn- generated images are surprisingly easy to spot

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:46faf2be2c2d5883472764cc2ee658efe935c535d8d466ccc7fa4fa530aaea71

Observation 2be3ec8e-b580-47e4-8eea-98d3e2ada015 · outbound

This paper cites Yunet: A tiny millisecond-level face detector.Machine Intelligence Research, 2023.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Yunet: A tiny millisecond-level face detector.Machine Intelligence Research, 2023

Reference 40

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source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:17b4e076df28be35a1c823773cd996dc483ed6f9ae80e2025b402810d92b2ea9

Observation be2fd4a0-b372-4476-86c4-4003586f4b72 · outbound

This paper cites Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 41

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verified exact
local_arxiv, observed 2026-07-04T15:49:57.123262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:858da5f07c4ec4da108dfd0624683046c6a6d2799a9dd90931463b86551b54dc

Observation 42d1b934-f7be-4ea8-b6c2-4d92eb86bc31 · outbound

This paper cites Ucf: Uncovering common features for generalizable deepfake detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Ucf: Uncovering common features for generalizable deepfake detection

Reference 42

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source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:2cf52d7023cfe92d7cf4767c3488b8199214505b84e0f9d03d518ba93144c039

Observation c65d42b1-84e5-4368-b3ff-b4493c28019c · outbound

This paper cites DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Reference 43

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verified exact
arxiv_id, observed 2026-07-04T15:49:57.133516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:0f7206eb8b208169c3f391deec9261fd17c9196cba7a613151afcb256f1e178e

Observation 2bffe5f5-81a6-4b86-a7c5-b0df190221b2 · outbound

This paper cites Deepfake detection that generalizes across benchmarks.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Deepfake detection that generalizes across benchmarks

Reference 44

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no resolver link, observed 2026-06-26T01:24:46.200846Z

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source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:1dfe0a7bd571c34eb20674915c1ac60da2250b6b91577fd2dfd64540e36978d0

Observation bd543c89-71e4-4dfc-856e-24ba3e5260ba · outbound

This paper cites Bank of italy warns over deepfake video scams using governor panetta.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Bank of italy warns over deepfake video scams using governor panetta

Reference 45

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source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:b1da56c647eda7f1ff5ab7c911a63f884e3741cd1b49ff0048bea04d696bc3ac

Observation 7796def0-6569-4f2f-81c1-cb2099f13888 · outbound

This paper cites D3: Training-free ai-generated video detection using second-order features.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations D3: Training-free ai-generated video detection using second-order features

Reference 46

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unresolved
no resolver link, observed 2026-06-26T01:24:46.200846Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:a30ed4aa498c360429d52ce569e5a572e1f361f8ccfa04d1c5de377a1c22fc6d

Observation afb99eba-c969-40c3-b855-c3a779f5a430 · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations Open-Sora: Democratizing Efficient Video Production for All

Reference 47

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local_arxiv, observed 2026-07-04T15:49:57.165267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T01:24:46.200846Z digest=sha256:d159b8f8c917a63667afabb0824b159855c6c33999e2d12bd0a332cb63082a83

Pith citing papers

No inbound Pith citation observations are available.