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Paper Citation Record · LEDGER

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising

As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2507.08912.

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

pith.paper-citation-record.v1
2507.08912 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:18:00.282184Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:05:18.026601Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact4
  • verified fuzzy43
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 42455254-23f6-4da3-bfb8-a52b73decd39 · outbound

This paper cites A survey of ai-generated content (aigc),.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising A survey of ai-generated content (aigc),

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 32b06d69-8aed-450f-bf40-7fa565651eca · outbound

This paper cites Deepfake detection: A systematic literature review,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deepfake detection: A systematic literature review,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b324a21e-d325-4335-9a10-b6e4cc56d13b · outbound

This paper cites Explaining deepfake detection by analysing image matching,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Explaining deepfake detection by analysing image matching,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ec1a5547-e63f-4319-befa-a41d6fe2abee · outbound

This paper cites Deep fakes: A looming challenge for privacy, democracy, and national security,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deep fakes: A looming challenge for privacy, democracy, and national security,

Reference 4

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raw_fallback, observed 2026-08-06T18:18:09.665018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:54.865604Z digest=sha256:a123892027852487dcf48c6eb0890871c6db39d27111059fd308008601880e1c

Observation e8f1cde9-c64a-4b64-8f2f-593ffd8846e6 · outbound

This paper cites On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Reference 5

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no resolver link, observed 2026-08-06T18:17:54.930965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:54.930965Z digest=sha256:c7819076ff0cfe0e75531349590a5bd3c708d20b0c4a27525807f570bfdf1c1b

Observation d4e886b7-1486-46f6-8fbd-56fe209c6f9c · outbound

This paper cites Deepfake detection by analyz- ing convolutional traces,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deepfake detection by analyz- ing convolutional traces,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:54.996603Z digest=sha256:1779d57c51f373cba6714e341a86b5565aed90d444aab6122431d12e84cb7ceb

Observation 0bac8b28-25b7-4740-9029-030d225ba7ea · outbound

This paper cites Cyberbullying girls with pornographic deepfakes is a form of misogyny,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Cyberbullying girls with pornographic deepfakes is a form of misogyny,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2458f841-aa87-4874-955e-97bf5cb4bec2 · outbound

This paper cites Eros and ethos in celebrity deepfake pornography,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Eros and ethos in celebrity deepfake pornography,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:55.175109Z digest=sha256:3521b0832635a13cbb609f4778ec485a0f7dac75744a9e63b11ff7cdabd9a4ad

Observation 1457f309-1989-4e36-8e88-b1f1ba9882ed · outbound

This paper cites US disinformation surge rings alarm bells for Swiss direct democracy,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising US disinformation surge rings alarm bells for Swiss direct democracy,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e68aea6d-cc99-45d3-a252-70c01bad4bea · outbound

This paper cites Deepfake detection for human face images and videos: A survey,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deepfake detection for human face images and videos: A survey,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 79637216-717d-4fe7-9630-db3212a77f78 · outbound

This paper cites A novel deep learning approach for deepfake image detection,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising A novel deep learning approach for deepfake image detection,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a162bf99-d83b-4b91-b109-73b4de9526eb · outbound

This paper cites Deepfake detection using svm,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deepfake detection using svm,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0cd0a231-eb5e-4f13-906d-75650c48d4cb · outbound

This paper cites Interpretable-through- prototypes deepfake detection for diffusion models,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Interpretable-through- prototypes deepfake detection for diffusion models,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8abaa1a2-da91-467a-bf98-3bb588d12b21 · outbound

This paper cites Fairness through awareness,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Fairness through awareness,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8acd865d-126c-4c7e-8326-fb486d5762ce · outbound

This paper cites Extending the theory of information poverty to deepfake technology,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Extending the theory of information poverty to deepfake technology,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3556cafe-14d9-4e00-b98a-fd6d14048b23 · outbound

This paper cites Fairness and machine learning. fairmlbook. org,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Fairness and machine learning. fairmlbook. org,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 75557409-f676-46af-a9ad-cabe0b792bec · outbound

This paper cites Equality of opportunity in supervised learning,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Equality of opportunity in supervised learning,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 83f3e128-e8d8-44b9-945c-153dafae8783 · outbound

This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Fair prediction with disparate impact: A study of bias in recidivism prediction instruments,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64ff93bf-8617-4fd5-ab63-a45f6a5c2b20 · outbound

This paper cites Classifying socially sensitive data without discrimination: An analysis of a crime suspect dataset,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Classifying socially sensitive data without discrimination: An analysis of a crime suspect dataset,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 43efab0d-62c6-4c9b-b720-9f3bb41685d9 · outbound

This paper cites Learning fair representations,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Learning fair representations,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c19b281b-c49b-4d90-9221-4a9b0f0243a3 · outbound

This paper cites Fairtest: Discovering unwarranted associa- tions in data-driven applications,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Fairtest: Discovering unwarranted associa- tions in data-driven applications,

Reference 21

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0a6e12a1-fbdc-4e40-add4-f544c5d91702 · outbound

This paper cites Discriminating feature ratio: Introduc- ing metric for uncovering vulnerabilities in deep convolutional neural networks,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Discriminating feature ratio: Introduc- ing metric for uncovering vulnerabilities in deep convolutional neural networks,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 19148269-3f74-4d9c-bec5-08c8ff689040 · outbound

This paper cites Fairness-aware configuration of machine learning libraries,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Fairness-aware configuration of machine learning libraries,

Reference 23

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9610e2eb-f1fd-45eb-9c4f-c7a7e6500b24 · outbound

This paper cites Fairness constraints: Mechanisms for fair classification,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Fairness constraints: Mechanisms for fair classification,

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:56.483791Z digest=sha256:028a7196df68c7f2da560b71c98c1cc0e6a6ea5740a93278f230dbea6129483f

Observation 04436bbe-8c5a-495e-9f77-320feca49b54 · outbound

This paper cites Training well-generalizing classifiers for fairness metrics and other data-dependent constraints,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Training well-generalizing classifiers for fairness metrics and other data-dependent constraints,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f2ea5ce5-9615-4a9a-9be5-7c8ab5f8c2e6 · outbound

This paper cites Censoring Representations with an Adversary.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Censoring Representations with an Adversary

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21fe7f77-9e8b-41fb-973a-b27c39b16431 · outbound

This paper cites Mitigating unwanted biases with adversarial learning,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Mitigating unwanted biases with adversarial learning,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4865d5ce-0b94-4d3b-9acd-efa3f20cfa5b · outbound

This paper cites Calibrating predictions to decisions: A novel approach to multi-class calibration,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Calibrating predictions to decisions: A novel approach to multi-class calibration,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation eda878d0-1aac-4edb-b937-3874b940d0bf · outbound

This paper cites Post-processing fairness evaluation of federated models: An unsupervised approach in healthcare,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Post-processing fairness evaluation of federated models: An unsupervised approach in healthcare,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:56.887969Z digest=sha256:10336930e39f63a461e4e2733388c1f5339cb01cd2dfdec2830304ac7cd2e3fd

Observation de7b7f05-944b-40d0-8a52-161340248448 · outbound

This paper cites Detection of deepfake video manipulation,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Detection of deepfake video manipulation,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ef650b18-414d-4352-89e7-8413f3f36b5f · outbound

This paper cites Camera identification by grouping images from database, based on shared noise patterns.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Camera identification by grouping images from database, based on shared noise patterns

Reference 31

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local_arxiv, observed 2026-08-06T18:18:01.711059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a268fb60-13cd-45be-a075-dfff0ccb14eb · outbound

This paper cites The generalization of ‘student’s’problem when several different population varlances are involved,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising The generalization of ‘student’s’problem when several different population varlances are involved,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:57.114615Z digest=sha256:978e0a3c732ecccf9ffbac8955721783f2dd2b388ee012b2172cf4d08eed26d0

Observation 634074a0-64b1-4d4d-995a-458f9e71f6a3 · outbound

This paper cites Limits of Deepfake Detection: A Robust Estimation Viewpoint.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Limits of Deepfake Detection: A Robust Estimation Viewpoint

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:57.314006Z digest=sha256:6a8cd09e0ee610895230f6d7ad389d343fa2dae3f14ce9d69e2af8ba05ef06e4

Observation b696c716-4b47-4292-a43b-98477c1778bd · outbound

This paper cites Detecting and simulating artifacts in gan fake images,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Detecting and simulating artifacts in gan fake images,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:05.185661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:57.459705Z digest=sha256:eff988e31c1f8b499098c6c0239eddebf79a44c46d67ee47f090cf6324c911af

Observation 75a6ac24-dd53-4ee8-a1a9-51455cabc07d · outbound

This paper cites Detection of deep- fakes using visual artifacts and neural network classifier,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Detection of deep- fakes using visual artifacts and neural network classifier,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:05.043638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:57.601234Z digest=sha256:b13d4e181ac14a8d60eb9a3639147bf82a7d407d250208b58fe9807017e900cc

Observation 8f7bd242-5464-4764-b085-04b7528cdd38 · outbound

This paper cites Exposing deep fakes using inconsistent head poses,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Exposing deep fakes using inconsistent head poses,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:04.856074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:57.710795Z digest=sha256:5297c977f63e79b15e83785347717e20ce62019c2f75ead7b4344d056972f956

Observation f21baed5-5778-4dda-979f-6a6a90a34e20 · outbound

This paper cites Deep detection for face manipulation,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deep detection for face manipulation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:04.715328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:57.792811Z digest=sha256:78a4dac1e5f7016faf572b7990145d39ca95d9205a2b98ec19b0566b67bcdee9

Observation 09474d5d-cc1a-4e23-8ae8-72d5ac9d563f · outbound

This paper cites an unresolved cited work.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:18:04.525714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:57.918748Z digest=sha256:89b468ed6158a9646fdfd209147152d53344dc1a72ee621147412e166622485a

Observation 77db5153-8853-4523-a969-612ba659d0ce · outbound

This paper cites Mesonet: a compact facial video forgery detection network,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Mesonet: a compact facial video forgery detection network,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:04.311156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.003180Z digest=sha256:70f8370e2fd04d4c57250a0a218e074d4f3bedb7a267538fb1a5c48c0f0b80dc

Observation 0fcdd29a-ddbb-41d0-b77f-cf167beb39ac · outbound

This paper cites DeepFake Detection Based on the Discrepancy Between the Face and its Context.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising DeepFake Detection Based on the Discrepancy Between the Face and its Context

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:18:01.560510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.085906Z digest=sha256:2b005984b721e3651e7b211a14ace571f8483a30ea538e67fe8e8b59261f7bef

Observation adce8827-d382-4f8c-9547-9d46a56e12cb · outbound

This paper cites Deeprhythm: Exposing deepfakes with attentional visual heartbeat rhythms,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deeprhythm: Exposing deepfakes with attentional visual heartbeat rhythms,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:04.010271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.140192Z digest=sha256:0b56207b2546499c70e08e20da0aee0aa9322c6f5a8503801174d90c60c1cbd6

Observation b89a6b1a-0759-4289-9c7d-fc81cc9dc482 · outbound

This paper cites DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:18:01.315077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.240594Z digest=sha256:04741b74cb01ba923d10e0bf1e56b07b1c528f2ab0f925acf43c1930e0b56c1b

Observation a6d5e8c6-12a2-4fc8-9d40-6a1ed0ff02e4 · outbound

This paper cites Towards generalizable deepfake detection with locality-aware autoencoder,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Towards generalizable deepfake detection with locality-aware autoencoder,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:03.738129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.297943Z digest=sha256:b7cdc11f48487878d91759ad8c879df736f9888f19d436d63ea1c10e6aad29f8

Observation 3a8ced2d-13b7-4c94-aba1-61e17c378464 · outbound

This paper cites Exploiting visual artifacts to expose deepfakes and face manipulations,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Exploiting visual artifacts to expose deepfakes and face manipulations,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:03.572963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.359729Z digest=sha256:c1c52eece1ca7871a64913148d7c40c8f319c43ad690ab96808a9c0a08bb7436

Observation 20144124-0f06-4d3e-8d81-4cad2b941b9b · outbound

This paper cites Tensor-based deepfake detection in scaled and compressed images,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Tensor-based deepfake detection in scaled and compressed images,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:03.374208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.442883Z digest=sha256:cb8abf0f46b2741b9463de3f7615b99a5088394420d0cc43168619f9ae54bb38

Observation 34a7560f-a3e3-4ed8-b1c5-8af3ac68720d · outbound

This paper cites Unmasking deception: Empowering deepfake detection with vision transformer network,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Unmasking deception: Empowering deepfake detection with vision transformer network,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:03.188437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.495083Z digest=sha256:1375c0bdeb72b5fc92376dda1f7bee12ce800d54ace7d9320c1a4d5d8bedf0d4

Observation 84379064-a2ef-4713-887d-0bbe9fd02bf2 · outbound

This paper cites Fairness evaluation in deepfake detection models using metamorphic testing,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Fairness evaluation in deepfake detection models using metamorphic testing,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:02.977908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.553416Z digest=sha256:d2c56cef87b271361e05c05446ff408f488bf911b643e60dfe09295ada5a0a59

Observation 92f3c9e2-5015-450b-a6f7-eb96dcb86feb · outbound

This paper cites A survey on bias and fairness in machine learning,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising A survey on bias and fairness in machine learning,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T18:17:58.670853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:58.670853Z digest=sha256:4cd12cf3474aa5b79ee265f81fee87b3b2e8a8e8959e82433538a793799314ca

Observation 03d61a64-27d0-4be6-a7ac-d40a4e076fb7 · outbound

This paper cites An Examination of Fairness of AI Models for Deepfake Detection.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising An Examination of Fairness of AI Models for Deepfake Detection

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T18:17:58.754338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:58.754338Z digest=sha256:b551453da174e848a94397f92ed67da20ae949b90742600c9fae01656b44b58e

Observation d8ad780b-3fc4-4657-8c43-f7236be673a7 · outbound

This paper cites A systematic literature review on the effectiveness of deepfake detection techniques,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising A systematic literature review on the effectiveness of deepfake detection techniques,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:02.846074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:58.878139Z digest=sha256:532607b99f6cbe19eba8545db32b70a64c386e894ef55b857005d793b07b3942

Observation a59b3e3a-c95b-4c3e-9f0a-f458836438b6 · outbound

This paper cites Deepfake: Classifiers, fairness, and demo- graphically robust algorithm,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Deepfake: Classifiers, fairness, and demo- graphically robust algorithm,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:02.718391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:59.024048Z digest=sha256:01cab9e29523b9f33035ec8b6af87a30ac381aaf11626240c1db6f91416c028a

Observation a761f73a-5458-48a6-b4b7-f0f862e91d41 · outbound

This paper cites Data-Driven Fairness Generalization for Deepfake Detection.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Data-Driven Fairness Generalization for Deepfake Detection

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:18:01.016792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:59.130160Z digest=sha256:4bd4c93881ec249a2de86595a72a6569c6e12c2930556bb10db5d279180f921a

Observation f86b8e62-4ace-4e21-a6c4-d0bf586c7781 · outbound

This paper cites Improving fairness in deepfake detection,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Improving fairness in deepfake detection,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:02.495184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:59.290892Z digest=sha256:a5c46ffb6dd75007cd07f8a519c676ca7e4e86caaeb5ca923c503bd788f5b3c2

Observation dda771d3-5a97-44f4-bdd0-76b4e5dbac0e · outbound

This paper cites Preserving fairness generalization in deepfake detection,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Preserving fairness generalization in deepfake detection,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:02.253011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:59.372832Z digest=sha256:946be7b128fb8e1adc4baa94e141af0a67349155954fcd73f4253d267f702287

Observation a113a31a-f9e2-443d-a4f2-b09ac0b0a5ba · outbound

This paper cites FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:18:00.671297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:17:59.489117Z digest=sha256:7b8ad48cf647f2a78aa5abe1daafe29e47098b2b7848c8b33a205b9c1998ba93

Observation eed106e6-fe79-4fad-8b62-c84933e37949 · outbound

This paper cites Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T18:17:59.628640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:59.628640Z digest=sha256:059b2cab450c48d2c50fb62d1b001d937981b1a1b9e481b89e7dbd2ef8514303

Observation 161ff598-b958-49ad-8f49-53189947fa3e · outbound

This paper cites Visualizing and understanding convo- lutional networks,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Visualizing and understanding convo- lutional networks,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T18:17:59.801775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:59.801775Z digest=sha256:b5871ea43c5d2ec102b10238a1d1119b659c1fc89bf1b7fd3e1d627827cc7df0

Observation bb390932-4459-49c1-8dc4-6c0573188882 · outbound

This paper cites an unresolved cited work.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:18:02.096573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:18:00.004869Z digest=sha256:916ff11dd198b0632838fead521ce90a7821a12a0bfd563de9eefbd92a451030

Observation 92d283b4-0e0f-4a44-a6ae-c35fece1dd55 · outbound

This paper cites Hyperextended lightface: A facial attribute analysis framework,.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Hyperextended lightface: A facial attribute analysis framework,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:18:01.890823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:18:00.175353Z digest=sha256:a16dbf68e9c201e44fed43a41d88700d430a61eece87d2147b9d3293d7784c90

Observation 5a93fd9e-8533-45a2-a271-1af7751eec61 · outbound

This paper cites Quantifying Attention Flow in Transformers.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Quantifying Attention Flow in Transformers

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:00.282184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:00.282184Z digest=sha256:87d3075af19137b1a0463d7fca321d99f14771bfe754139ea2fc04e50a215193

Pith citing papers

Observation c29b77fe-974e-426e-b53f-5ea1ae2157e2 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:44.973634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:3a17af75bb510d5eb4bd52e224a5f192a378bbf0b639e5338c2b3b557cfff66f