Paper Citation Record · LEDGER

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.01661.

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

pith.paper-citation-record.v1
2608.01661 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:11:37.872762Z

measured 38 of 38 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.

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

38 of 38 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79711fda-ae77-4e43-9e95-d70a3d84dec9 · outbound

This paper cites Mfclip: Multi-modal fine-grained clip for generalizable diffusion face forgery detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Mfclip: Multi-modal fine-grained clip for generalizable diffusion face forgery detection,

Reference 1

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Observation 958c1f75-65a9-4cb0-9ed3-830f5c0722fc · outbound

This paper cites Poster: A pyramid cross-fusion transformer network for facial expression recognition,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Poster: A pyramid cross-fusion transformer network for facial expression recognition,

Reference 2

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Observation d9be44a5-e74e-4008-bbb9-ed4e2de0e6cf · outbound

This paper cites Generative adversarial nets,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Generative adversarial nets,

Reference 3

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Observation eed80a14-0d9c-4ad9-a9a9-b6d51a8709eb · outbound

This paper cites DiffFace: Diffusion-based Face Swapping with Facial Guidance.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection DiffFace: Diffusion-based Face Swapping with Facial Guidance

Reference 4

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Observation e9169906-583e-4b35-bbea-44b0c4bdb571 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Xception: Deep learning with depthwise separable convolu- tions,

Reference 5

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Observation 0bcb6c54-2a5a-4e2d-81bd-5ce8b1df9660 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Very deep convolutional networks for large-scale image recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:11:38.275627Z

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Observation 71442db7-3ae3-4d97-83dd-e1180905c775 · outbound

This paper cites Deepfake Video Detection Using Convolutional Vision Transformer.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Deepfake Video Detection Using Convolutional Vision Transformer

Reference 7

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Observation 56d7cacd-2e11-4849-8eee-0f189a65db76 · outbound

This paper cites Gbdf: Gender balanced deepfake dataset towards fair deepfake detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Gbdf: Gender balanced deepfake dataset towards fair deepfake detection,

Reference 8

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Observation 1727d2fc-6540-4cb1-be68-4fd4205e0386 · outbound

This paper cites Ai-face: A million- scale demographically annotated ai-generated face dataset and fairness benchmark,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Ai-face: A million- scale demographically annotated ai-generated face dataset and fairness benchmark,

Reference 9

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Observation 9bd3d4b8-c449-4ef3-a3d2-38fd10d0b064 · outbound

This paper cites Crossdf: improving cross-domain deepfake detection with deep infor- mation decomposition,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Crossdf: improving cross-domain deepfake detection with deep infor- mation decomposition,

Reference 10

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Observation c8c9849e-eb7a-44d9-9260-c767b8a60e90 · outbound

This paper cites Preserving fairness generalization in deepfake detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Preserving fairness generalization in deepfake detection,

Reference 11

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Observation c8478c92-49d7-4889-87f2-16d14ea373de · outbound

This paper cites Decoupling bias, aligning distributions: Synergistic fairness optimization for deepfake detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Decoupling bias, aligning distributions: Synergistic fairness optimization for deepfake detection,

Reference 12

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Observation 9b44fa58-46ce-4688-9c3a-1c0628e7a613 · outbound

This paper cites Redundant semantic environment filling via misleading-learning for fair deepfake detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Redundant semantic environment filling via misleading-learning for fair deepfake detection,

Reference 13

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Observation 4d601343-8677-4555-81a0-06e26d637f99 · outbound

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

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Learning transferable visual models from natural language supervision,

Reference 14

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Observation 44061d23-388f-4320-b868-7b86921dcd43 · outbound

This paper cites Implicit identity leakage: The stumbling block to improving deepfake detection generalization,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Implicit identity leakage: The stumbling block to improving deepfake detection generalization,

Reference 15

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Observation e44c52f5-867c-48c2-bef5-1a94fcf70ce4 · outbound

This paper cites Diffusion facial forgery detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Diffusion facial forgery detection,

Reference 16

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Observation aa9ca5ec-2f67-4f42-ba75-de08288e343f · outbound

This paper cites Genface: A large-scale fine-grained face forgery benchmark and cross appearance-edge learning,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Genface: A large-scale fine-grained face forgery benchmark and cross appearance-edge learning,

Reference 17

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Observation 748098c1-1163-4b6f-97dd-94890b88ce68 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 18

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Observation c8647f65-b77a-49ac-86fa-136de4cffb29 · outbound

This paper cites Fairadapter: Detecting ai- generated images with improved fairness,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Fairadapter: Detecting ai- generated images with improved fairness,

Reference 19

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Observation 2bfeb1fd-829b-4e48-a1b1-c00a79e9079d · outbound

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

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Forensics adapter: Adapting clip for generalizable face forgery detection,

Reference 20

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Observation 00ad4aff-e2a2-4820-abe1-b7f445013033 · outbound

This paper cites Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning,

Reference 21

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Observation 955ce9a3-0a27-4a4d-abe6-4adc82cd8a7a · outbound

This paper cites Im- plicit identity driven deepfake face swapping detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Im- plicit identity driven deepfake face swapping detection,

Reference 22

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Observation a67a4496-574b-4abe-89ca-7a533666f0b6 · outbound

This paper cites Standing on the shoulders of giants: reprogramming visual-language model for general deepfake detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Standing on the shoulders of giants: reprogramming visual-language model for general deepfake detection,

Reference 23

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Observation fac927c4-8ce9-46c3-b1c4-efdca1c62074 · outbound

This paper cites Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation,

Reference 24

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This paper cites Multi- attentional deepfake detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Multi- attentional deepfake detection,

Reference 25

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Observation fef514ba-0f1f-4e23-a301-2666a246e755 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Lora: Low-rank adaptation of large language models

Reference 26

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Observation bfbc11cf-7051-401c-a1a3-0fe0e1b8f746 · outbound

This paper cites Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation,

Reference 27

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Observation 8c814271-e86e-4a26-bf77-e5fbaecd24a4 · outbound

This paper cites Deep residual learning for image recognition,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Deep residual learning for image recognition,

Reference 28

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This paper cites Deepfake network architecture attribution,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Deepfake network architecture attribution,

Reference 29

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Observation e0e47c36-334b-406f-9ead-94cd92eed322 · outbound

This paper cites Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples

Reference 30

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Observation 52897c58-ee82-464e-a1e7-812356a638d5 · outbound

This paper cites Learning counterfactually decoupled attention for open-world model attribution,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Learning counterfactually decoupled attention for open-world model attribution,

Reference 31

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Observation e9cd5bf3-6244-4208-85cb-39b1ac792d7e · outbound

This paper cites De-fake: Detection and attri- bution of fake images generated by text-to-image generation models,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection De-fake: Detection and attri- bution of fake images generated by text-to-image generation models,

Reference 32

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This paper cites Improving fairness in deepfake detection,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Improving fairness in deepfake detection,

Reference 33

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Observation d4e89339-855d-4a57-82d5-f9b8e115794c · outbound

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

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Wilddeepfake: A challenging real-world dataset for deepfake detection,

Reference 34

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Observation c928a3f5-f8de-49cf-8a11-211c71cf5953 · outbound

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

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Celeb-df: A large- scale challenging dataset for deepfake forensics,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:11:38.062423Z

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Observation 5f151a80-e873-4509-a1d9-71f581754414 · outbound

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

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection The DeepFake Detection Challenge (DFDC) Dataset

Reference 36

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

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection DeeperForensics-1.0: A large-scale dataset for real-world face forgery detection,

Reference 37

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Observation d7d31ffd-52cc-446b-9a90-b2aa4fb939cd · outbound

This paper cites Bridging the gaps: Utilizing unlabeled face recognition datasets to boost semi-supervised facial expression recognition,.

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection Bridging the gaps: Utilizing unlabeled face recognition datasets to boost semi-supervised facial expression recognition,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:11:38.045394Z

Source-reported events for the cited work

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Pith citing papers

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