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Paper Citation Record · LEDGER

Fair Deepfake Detectors Can Generalize

As of 10 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2507.02645.

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

pith.paper-citation-record.v1
2507.02645 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:42.080977Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

76 of 76 outbound references displayed

  • verified exact2
  • verified fuzzy66
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation c471fd5a-c3e2-4928-996e-d1e16b4de22c · outbound

This paper cites Contributing data to deepfake detection research, 2019.

Fair Deepfake Detectors Can Generalize Contributing data to deepfake detection research, 2019

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.870976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.248837Z digest=sha256:43ac3306146266b237a8048804e3df3eed860cbf9f2666f22f3f44b223dcba23

Observation cac568b0-590e-4b6b-9bbc-860f47f62409 · outbound

This paper cites Gender shades: Intersectional accuracy disparities in commercial gender classification.

Fair Deepfake Detectors Can Generalize Gender shades: Intersectional accuracy disparities in commercial gender classification

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.739294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.368565Z digest=sha256:030925351546e6e7238ef6d085c21c2b54731acb56532060f4e52fcb2f1764ba

Observation 8a6d6757-78c4-4b2a-a36e-f95d141af160 · outbound

This paper cites End-to-end reconstruction-classification learning for face forgery detection.

Fair Deepfake Detectors Can Generalize End-to-end reconstruction-classification learning for face forgery detection

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.625939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.468943Z digest=sha256:96adbe57cbdbcad2836c7e2e1381bc251d1431b96a3180f35f8f57538838e4b0

Observation b75e61dd-a9a4-4a79-9313-d54eec0baf23 · outbound

This paper cites What makes fake images detectable? understanding properties that generalize.

Fair Deepfake Detectors Can Generalize What makes fake images detectable? understanding properties that generalize

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.502805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.564234Z digest=sha256:988c34b30ebad5d3b71992dd14211afccd5d9e3d4b27ab938cfb5a04c9a96b90

Observation 747ee68b-34e9-43be-9691-2f37598f8558 · outbound

This paper cites Causal feature learning: an overview.

Fair Deepfake Detectors Can Generalize Causal feature learning: an overview

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.376077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.670525Z digest=sha256:8e016bf4979482682fdc10213f9c8d0f76f9e9b60dd3cb79ec76ea79b2ff5f35

Observation cedf1d9f-7d38-46d0-91d7-56d9d5bd2fde · outbound

This paper cites Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection.

Fair Deepfake Detectors Can Generalize Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.250868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.773169Z digest=sha256:0833170b654f6397845965884e504965c3f76b223bae29dedde257fc294ee68c

Observation badf53f1-48d1-4b14-a801-b21f2e0930aa · outbound

This paper cites Mecd: Unlocking multi-event causal discovery in video reasoning.

Fair Deepfake Detectors Can Generalize Mecd: Unlocking multi-event causal discovery in video reasoning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.125574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.870702Z digest=sha256:ff1c8e8d9005d7b7ddc1bdcf37ce9309953b63e72e6f5a32b0d7bd27c4c1ffa2

Observation b8fd4d57-d690-490a-bd4a-99d19674f67f · outbound

This paper cites Causal intervention and counterfactual reasoning for multi-modal fake news detection.

Fair Deepfake Detectors Can Generalize Causal intervention and counterfactual reasoning for multi-modal fake news detection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:54.014556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.977114Z digest=sha256:1368ff6a6d978857f1a23f3c8cc5ba9aa41dba28bb11a5f793659f186bab7ff4

Observation d0a45562-c6ee-47ad-a2db-1a3971a53256 · outbound

This paper cites Voice-face homogeneity tells deepfake.

Fair Deepfake Detectors Can Generalize Voice-face homogeneity tells deepfake

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:53.901806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.089893Z digest=sha256:955725ab9e8e0184b15426acc712af3a7cf492b1b33be12ae59f9332294abb19

Observation d55b27aa-d040-439d-a3f9-886fe2252a40 · outbound

This paper cites Social Debiasing for Fair Multi-modal LLMs.

Fair Deepfake Detectors Can Generalize Social Debiasing for Fair Multi-modal LLMs

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:29:42.582378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.202211Z digest=sha256:06aae41ed75e36d4cff5ef0992d759d7d751fc7e981dc2f239ce600d73307ef3

Observation d84e29b4-6571-47c6-a3c0-ed38f603dce0 · outbound

This paper cites Can we leave deepfake data behind in training deepfake detector? In NeurIPS, pp.\ 1--12, 2024 b.

Fair Deepfake Detectors Can Generalize Can we leave deepfake data behind in training deepfake detector? In NeurIPS, pp.\ 1--12, 2024 b

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T20:29:53.745560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.273280Z digest=sha256:77ed6e2000933895c7a4eb94af8929582a40bddc8ea5d368c3d2e42b88e99922

Observation 7cbf2d24-33fd-43a7-88b9-a1f9b8a9e5c4 · outbound

This paper cites Exploiting style latent flows for generalizing deepfake video detection.

Fair Deepfake Detectors Can Generalize Exploiting style latent flows for generalizing deepfake video detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:53.565155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.396687Z digest=sha256:001d7694ba62404448ca231b12a52d1445f7e0f480abd36569bf220bed21673b

Observation fe8522a2-66c9-4752-a875-ab58f362897c · outbound

This paper cites A systematic review of ‘fair’ai model development for image classification and prediction.

Fair Deepfake Detectors Can Generalize A systematic review of ‘fair’ai model development for image classification and prediction

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:53.417397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.518069Z digest=sha256:22b4e347bb03accfabbfc337fb594602d08fc1c58bd1e1585f12242e0bca0045

Observation b4d79d94-58ef-45b5-bc3f-37ef0c1d61d4 · outbound

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

Fair Deepfake Detectors Can Generalize Fairadapter: Detecting ai-generated images with improved fairness

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:53.197459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.659395Z digest=sha256:8289c643dbfa1e472ef7a3cedb0d74de8b4a513484b0bb6bf94f38b9ae0caf71

Observation bd7d2a6c-3dec-4ed6-a4fd-677c0880adbf · outbound

This paper cites The deepfake detection challenge dataset.

Fair Deepfake Detectors Can Generalize The deepfake detection challenge dataset

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:53.010785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.685283Z digest=sha256:9b607e508d9456d8763865292e5919b76c716c04fc9cc8ebd54c52b8b50401de

Observation 8279f719-d343-4773-b50c-26dd95450b7e · outbound

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

Fair Deepfake Detectors Can Generalize Implicit identity leakage: The stumbling block to improving deepfake detection generalization

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:52.827635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.757824Z digest=sha256:ac1698db42b04031fb4f8a66d85f63006bd7753dba27346724ae77e77ffe962e

Observation 62f2be7a-edd7-4c74-af2f-c9d3799ac8f3 · outbound

This paper cites Fairness-aware ranking in search & recommendation systems with application to linkedin talent search.

Fair Deepfake Detectors Can Generalize Fairness-aware ranking in search & recommendation systems with application to linkedin talent search

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:52.676357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.855428Z digest=sha256:0f34231b9c1d0c7be92ec48dcfb4216a4031d37bc2d776d3aa7c0e6ac7c0ee9c

Observation 93fbc391-16ea-4e48-8f92-e307ab4a3f7c · outbound

This paper cites Improving generalization of deepfake detectors by imposing gradient regularization.

Fair Deepfake Detectors Can Generalize Improving generalization of deepfake detectors by imposing gradient regularization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:52.478928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.950274Z digest=sha256:477529f474e807ddd26d55c497d7194d744ef2f3a8f8cf1079dc31326a5f0f7e

Observation 31d12370-f91c-4ad4-a6cd-525415560127 · outbound

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

Fair Deepfake Detectors Can Generalize Leveraging real talking faces via self-supervision for robust forgery detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:52.332428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.031884Z digest=sha256:f76ab25bc91add4448c211345db72a305b17bacf37a79316480a16c589765053

Observation bd2e93d3-da3a-44fc-aefa-6f6db134267c · outbound

This paper cites Towards more general video-based deepfake detection through facial feature guided adaptation for foundation model.

Fair Deepfake Detectors Can Generalize Towards more general video-based deepfake detection through facial feature guided adaptation for foundation model

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:52.190974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.153947Z digest=sha256:44c1feffdcab9feb9462eecfefbda3ea46fc4c08ab8f9d7166d785f74f72acdb

Observation 8688fef6-d3b3-44b5-9f97-5b02f7a5655c · outbound

This paper cites Towards measuring fairness in AI: the casual conversations dataset.

Fair Deepfake Detectors Can Generalize Towards measuring fairness in AI: the casual conversations dataset

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:51.996994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.243209Z digest=sha256:5f1bdbb65ea8117dce1583c4fc7ee4e3ff28deb56194eaa7d8a39774c277ade0

Observation 353b2ddb-3ec9-4403-b661-cbb12458e875 · outbound

This paper cites Contrastive learning for deepfake classification and localization via multi-label ranking.

Fair Deepfake Detectors Can Generalize Contrastive learning for deepfake classification and localization via multi-label ranking

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:51.840421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.389654Z digest=sha256:0b2aac16dac4df018d0caeaf9778af802b8362b906a08712aa49898cace08e5d

Observation 62b589a6-08c0-4ad6-ba1d-98f6e4a296bb · outbound

This paper cites Exploring frequency adversarial attacks for face forgery detection.

Fair Deepfake Detectors Can Generalize Exploring frequency adversarial attacks for face forgery detection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:51.670832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.441546Z digest=sha256:a55a32232ad39087b4368c6a5c21787d9fdece9f5c4e821b73b5e5482048899e

Observation f480ca13-fe40-4351-93b7-4d0120acb545 · outbound

This paper cites Improving fairness in deepfake detection.

Fair Deepfake Detectors Can Generalize Improving fairness in deepfake detection

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:51.479590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.492315Z digest=sha256:9a6a814e08c054b33a0d96d0be4265ab887867183bf82a62f5c2d27c360b73d6

Observation 3e7de98e-ea0c-43f0-a802-f1bd61efec18 · outbound

This paper cites Advancing high fidelity identity swapping for forgery detection.

Fair Deepfake Detectors Can Generalize Advancing high fidelity identity swapping for forgery detection

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:51.285667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.604301Z digest=sha256:25e7d3ed035d52d2e2cde233f5580f2182713abfe3f7726cac504d75658f80d8

Observation 62d45f80-fbfc-4818-8607-1b9279cbc2e8 · outbound

This paper cites Face x-ray for more general face forgery detection.

Fair Deepfake Detectors Can Generalize Face x-ray for more general face forgery detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:51.133164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.826078Z digest=sha256:68a2f02611912b3b5430f139c8323bfec7b9bb067efe4066b375c520490763c0

Observation 5709f1b2-9aed-4f64-b7d0-0a60f79e59d9 · outbound

This paper cites Logical relation inference and multiview information interaction for domain adaptation person re-identification.

Fair Deepfake Detectors Can Generalize Logical relation inference and multiview information interaction for domain adaptation person re-identification

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:50.971637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.963376Z digest=sha256:be8bc5073b40b2ae6d601a3e4db1930666018be90831eb62862161e984d85dbd

Observation c85ac155-f4f8-4a39-8d44-10a42834b478 · outbound

This paper cites Towards deconfounded image-text matching with causal inference.

Fair Deepfake Detectors Can Generalize Towards deconfounded image-text matching with causal inference

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:50.721439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.052408Z digest=sha256:09fe12eb4639d020cc137db3b3f7270a7e6ed511f863e286552d47c47aa5af32

Observation 2e5a6526-13ef-48ee-8580-f93e8a81ce26 · outbound

This paper cites In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking.

Fair Deepfake Detectors Can Generalize In ictu oculi: Exposing ai generated fake face videos by detecting eye blinking

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:50.546121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.131795Z digest=sha256:098ae77f14bca8cfbbac20a53a056ca227bb9f2e777cf8529290c6a24c4ebdfb

Observation 8b7d9087-1421-4617-870e-0242bf4a23bf · outbound

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

Fair Deepfake Detectors Can Generalize Celeb-df: A large-scale challenging dataset for deepfake forensics

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:50.349579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.185099Z digest=sha256:6202daa6ed262e4fb590b210f726660fe0c6c1c947a1300e1c5fba62c8d6b759

Observation 0e91a551-96dd-4a4c-9c97-3cd1a48f8720 · outbound

This paper cites Preserving fairness generalization in deepfake detection.

Fair Deepfake Detectors Can Generalize Preserving fairness generalization in deepfake detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:50.167826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.244364Z digest=sha256:de58cd0a7f71f6146ca63affefff4efd444d028ed7ae7bf2f65acf3bf07c484a

Observation bd788455-95cf-4462-9341-db5ce20c9b92 · outbound

This paper cites Improving model fairness in image-based computer-aided diagnosis.

Fair Deepfake Detectors Can Generalize Improving model fairness in image-based computer-aided diagnosis

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:49.961025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.303925Z digest=sha256:812319fcd7df176729550b5cffe77608846d5b0098f03eae2103286d62a23952

Observation 023d3d87-da66-4c40-83f0-563806e5b6be · outbound

This paper cites Thinking racial bias in fair forgery detection: Models, datasets and evaluations.

Fair Deepfake Detectors Can Generalize Thinking racial bias in fair forgery detection: Models, datasets and evaluations

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:49.778575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.358702Z digest=sha256:1286f2272c2273553ad003340b7a827c67df2ec96b59851ba509e3348d51ca32

Observation c22f9bf6-3296-44f0-ad3e-155110dd8fcb · outbound

This paper cites Learning Real Facial Concepts for Independent Deepfake Detection.

Fair Deepfake Detectors Can Generalize Learning Real Facial Concepts for Independent Deepfake Detection

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:29:42.426959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.416699Z digest=sha256:c845719702a9a1a25ae2c112d07fa1063a11702eacbfa2c08872fa2a50529a48

Observation 541d6bbe-58ef-4f15-86cd-06a3f62e2f7a · outbound

This paper cites DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution.

Fair Deepfake Detectors Can Generalize DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:38.472890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:38.472890Z digest=sha256:4fc48c6648226c297fc4b0b54b88729bcb3d31d9e9d80862b819d727da0de438

Observation 8b48c116-e388-47c8-828b-ece9cd65bb75 · outbound

This paper cites Discovering causal signals in images.

Fair Deepfake Detectors Can Generalize Discovering causal signals in images

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:49.554749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.555325Z digest=sha256:65fd93fd9d9d6f8cfe8aceaa2a21536159238be246337ea9d2c9da00908ed2ec

Observation e3b57631-4f68-4852-ada7-d013e5adae32 · outbound

This paper cites Generalizing face forgery detection with high-frequency features.

Fair Deepfake Detectors Can Generalize Generalizing face forgery detection with high-frequency features

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:49.294353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.659953Z digest=sha256:67aa5751ef1e4ed39049f7f6edb9c34229ba05192d0c0a49c73378f12f207c7c

Observation 1204ecc3-88f9-4722-b7f0-9131d9341465 · outbound

This paper cites Causality inspired representation learning for domain generalization.

Fair Deepfake Detectors Can Generalize Causality inspired representation learning for domain generalization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:49.112863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.729029Z digest=sha256:918b6a1eb02ac55feaa04c7cb514cfea3f0a058b7524ee2b6d3e20800b502622

Observation fac1bdcb-48bf-497c-b775-b5277f9e0587 · outbound

This paper cites Domain generalization using causal matching.

Fair Deepfake Detectors Can Generalize Domain generalization using causal matching

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:48.898452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.822157Z digest=sha256:a0b51cdfc81233dec4fd89b2fd19f422b1318711e86c35430b735390d8cdd0a1

Observation 372a09bc-81df-4696-ad71-0445b0eb96da · outbound

This paper cites Two-branch recurrent network for isolating deepfakes in videos.

Fair Deepfake Detectors Can Generalize Two-branch recurrent network for isolating deepfakes in videos

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:48.626872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.922386Z digest=sha256:55ddf031e07f7db21195da7042b7e609464246fff035408c97fbe5d4510f3045

Observation 1fb9027f-81af-4f1b-afab-d0f27a39ef77 · outbound

This paper cites GBDF: gender balanced deepfake dataset towards fair deepfake detection.

Fair Deepfake Detectors Can Generalize GBDF: gender balanced deepfake dataset towards fair deepfake detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:48.421921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.984903Z digest=sha256:cd75b8ddfbff5aa03a479499ef7ea7638eaab29d9e62dc20105fa94dcdebb16c

Observation a8c74f0a-1b71-4164-8455-fa8ef80e3ec5 · outbound

This paper cites Fair contrastive learning for facial attribute classification.

Fair Deepfake Detectors Can Generalize Fair contrastive learning for facial attribute classification

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:48.153276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.069770Z digest=sha256:7327e3b3c81eef5941c2cca26d013f7a5734fb312e5a8a22c497ae6e710048b6

Observation a9fb6e87-de90-4c20-bfa4-7128535ea80b · outbound

This paper cites Causality: Models, Reasoning and Inference.

Fair Deepfake Detectors Can Generalize Causality: Models, Reasoning and Inference

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:47.954010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.168013Z digest=sha256:375c9cd99ad66ed33d3e436a9d186a10bb1954e2eceb1190672574b454dc07b3

Observation 24409dc5-3248-49aa-b057-574b45deeb52 · outbound

This paper cites The do-calculus revisited.

Fair Deepfake Detectors Can Generalize The do-calculus revisited

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:47.747656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.254467Z digest=sha256:a2264a1db79d9bba7103c9fc0f337e56f5da1647b38c81a58d71a691746a46d3

Observation ad836bd6-cb7d-49f6-8944-e55bd6ae4ae1 · outbound

This paper cites Does obesity shorten life? or is it the soda? on non-manipulable causes.

Fair Deepfake Detectors Can Generalize Does obesity shorten life? or is it the soda? on non-manipulable causes

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:47.497907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.349419Z digest=sha256:3c4d7d9c4edc408e77defdbbfd87b2eddeb26f0219ba5966fd29f5148caf647a

Observation 73f890a4-1ed7-4bfe-ae9d-d80c4486916f · outbound

This paper cites Causal inference in statistics: A primer.

Fair Deepfake Detectors Can Generalize Causal inference in statistics: A primer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:39.458022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:39.458022Z digest=sha256:5591b152cb44110e53a1970586e3e1c8fea1792a33248528a94671b148322470

Observation 6dad9e5c-2f1b-462a-bdf3-08ee01005c45 · outbound

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

Fair Deepfake Detectors Can Generalize Fairness evaluation in deepfake detection models using metamorphic testing

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:47.254622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.514062Z digest=sha256:9dcade4948ae36a8075ecea834109f931572558d91eb7a4dad88603849ff6296

Observation 143e5dbe-7e21-4e66-8645-dcf341d901a8 · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues.

Fair Deepfake Detectors Can Generalize Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:47.098730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.622659Z digest=sha256:11d854d3b95356230d2c98c7e7234af704c003f85d888a073239131a42051ade

Observation bebcfebd-47e9-4afe-8a4b-642c1ad5d811 · outbound

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

Fair Deepfake Detectors Can Generalize Faceforensics++: Learning to detect manipulated facial images

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:46.964506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.753364Z digest=sha256:0fa82cffcb1498ff891052dfeda9831f06d30dac3c2e5031da4f1ada2917df78

Observation 0d5d222d-01a0-403a-92cc-7260ada7c887 · outbound

This paper cites Detecting deepfakes with self-blended images.

Fair Deepfake Detectors Can Generalize Detecting deepfakes with self-blended images

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:46.787354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.823222Z digest=sha256:75186cd2f2fa8d397ffbdb2c2fbe6df3800958d9b2bb6e80d18eb1ecca9c9920

Observation c62ef472-17c5-4602-8141-735e8d6f0515 · outbound

This paper cites Towards General Visual-Linguistic Face Forgery Detection(V2).

Fair Deepfake Detectors Can Generalize Towards General Visual-Linguistic Face Forgery Detection(V2)

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:39.942843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:39.942843Z digest=sha256:646adf16b32a11ee7834cd2f0ee32a7df3b0e4b003b2f8a8766ae592bd4bf9b1

Observation 156d1869-3768-457f-8ce1-3b5e644212a4 · outbound

This paper cites Rethinking open-world deepfake attribution with multi-perspective sensory learning.

Fair Deepfake Detectors Can Generalize Rethinking open-world deepfake attribution with multi-perspective sensory learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:46.608423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.061594Z digest=sha256:c9cbbcc9c538dc4136a859a30a0c887fc05ca74e06a10824697d9d74a3eb5567

Observation 3112e24c-ddbf-4fea-be58-ee8703a5b60e · outbound

This paper cites Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection.

Fair Deepfake Detectors Can Generalize Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:46.463378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.135617Z digest=sha256:b3cada660cefe639799fb46e5c96fb7ebeb479002469aa4e66b9852306bdb5ae

Observation 6d41c10f-e235-4c95-a3ea-6f1979dfada2 · outbound

This paper cites an unresolved cited work.

Fair Deepfake Detectors Can Generalize Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:29:46.315324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.214279Z digest=sha256:9a397a10178c7129bf6a54457ea8a8e74400e2f652c2aaedf3e9d15ad850978a

Observation 99582686-a480-49aa-b0ca-7a63def8974c · outbound

This paper cites An examination of fairness of AI models for deepfake detection.

Fair Deepfake Detectors Can Generalize An examination of fairness of AI models for deepfake detection

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:46.126965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.285326Z digest=sha256:889a712bcdcdce48c769b34fb206360c4eaf6d5ca3b736d53351e60435229951

Observation ff57010e-5887-4081-8df1-5c7daed15f50 · outbound

This paper cites Representative forgery mining for fake face detection.

Fair Deepfake Detectors Can Generalize Representative forgery mining for fake face detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:45.983211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.369283Z digest=sha256:3ef77dc25cb21b9a4ae0f9d90603a5a289e2cf27a5414250a8c830c43b4ef462

Observation fe32be9f-01c0-4dad-8e54-5a8147a508a5 · outbound

This paper cites Mitigating bias in face recognition using skewness-aware reinforcement learning.

Fair Deepfake Detectors Can Generalize Mitigating bias in face recognition using skewness-aware reinforcement learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:45.839953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.471893Z digest=sha256:a6c367c092141d5690ac114ac27eedef62a57b137170cd9ba23d10cac0e99eed

Observation 9a2b4320-9b91-4b1a-a775-d5b2a24d110a · outbound

This paper cites Deepfake detection: A comprehensive survey from the reliability perspective.

Fair Deepfake Detectors Can Generalize Deepfake detection: A comprehensive survey from the reliability perspective

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:45.709132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.557706Z digest=sha256:62a27a2db1b398b0fe0915959cb6b2b511fdc8d67a95454b2d586f1ce49066df

Observation f2039d6e-147b-48d0-84f1-2223a38369a3 · outbound

This paper cites Sstnet: Detecting manipulated faces through spatial, steganalysis and temporal features.

Fair Deepfake Detectors Can Generalize Sstnet: Detecting manipulated faces through spatial, steganalysis and temporal features

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:45.575684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.634041Z digest=sha256:2fc51a2b62b1cbc96945f4ec8dabbd68de827276a52e4ceddb1a9e4e5ca59013

Observation a206509b-dfe2-4d37-9656-fe5344917156 · outbound

This paper cites Mmnet: multi-collaboration and multi-supervision network for sequential deepfake detection.

Fair Deepfake Detectors Can Generalize Mmnet: multi-collaboration and multi-supervision network for sequential deepfake detection

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:45.400664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.712821Z digest=sha256:26c43ac49a5b70e7a01e61fbe0dba583bc9f84bbc5eff21792db6535c9ddb6dc

Observation c9409faf-30b3-4dcf-b54f-942d5b78c459 · outbound

This paper cites Region-aware face swapping.

Fair Deepfake Detectors Can Generalize Region-aware face swapping

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:45.259622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.791281Z digest=sha256:a0e8ef3eb769c6fc264f2370ac25c03989bb660e7465e0bd96a5c23c703be0c4

Observation 2b8dcc01-e92f-486d-ae55-aa02bf7aa796 · outbound

This paper cites Analyzing fairness in deepfake detection with massively annotated databases.

Fair Deepfake Detectors Can Generalize Analyzing fairness in deepfake detection with massively annotated databases

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:45.022197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.866986Z digest=sha256:02e748037b7a9e2f20d6ec70930873552b765139e5f100a27ca5f64dd9b6fef7

Observation e5888391-c3d7-46b4-88bb-f1e1ca49cf65 · outbound

This paper cites UCF: uncovering common features for generalizable deepfake detection.

Fair Deepfake Detectors Can Generalize UCF: uncovering common features for generalizable deepfake detection

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:44.731391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.942706Z digest=sha256:1b0b271e65bf1b181919616343a4c64e94d8adffdcedce1b027e867268e0bd34

Observation b054752f-d0c2-4aed-8e25-c9bb93dc14d2 · outbound

This paper cites Transcending forgery specificity with latent space augmentation for generalizable deepfake detection.

Fair Deepfake Detectors Can Generalize Transcending forgery specificity with latent space augmentation for generalizable deepfake detection

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:44.394344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.987781Z digest=sha256:170a12f36c0d802d415e837745f0f68a929aa39d374e102f0da20a5e1e551c4e

Observation 724122fa-5a55-41f3-a588-719e67613d23 · outbound

This paper cites Generalizing deepfake video detection with plug-and-play: Video-level blending and spatiotemporal adapter tuning.

Fair Deepfake Detectors Can Generalize Generalizing deepfake video detection with plug-and-play: Video-level blending and spatiotemporal adapter tuning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:44.080311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.122142Z digest=sha256:a4338a67f4ea37daa3e8ab7b9dfbb444cc8b06f0e89b3055809307dc687a836f

Observation ecd80b95-68c4-4d27-9899-7eadca544443 · outbound

This paper cites Causal prompting: Debiasing large language model prompting based on front-door adjustment.

Fair Deepfake Detectors Can Generalize Causal prompting: Debiasing large language model prompting based on front-door adjustment

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:43.737199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.247970Z digest=sha256:e1bbf5ddcc5595585f5382bb7dc1a85bfc87ce2a4048c5155f923dfcbcf40e2c

Observation bae8b9ea-c1a0-42f1-8154-3bd991547f14 · outbound

This paper cites Causal intervention for weakly-supervised semantic segmentation.

Fair Deepfake Detectors Can Generalize Causal intervention for weakly-supervised semantic segmentation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:43.486981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.375472Z digest=sha256:ccc0416861d484b9024540cbba21420e471daf4e4b35faea1135c341c40a72f0

Observation f0c071f5-fb04-45d8-8b35-cbd15e59a310 · outbound

This paper cites Attribute-guided collaborative learning for partial person re-identification.

Fair Deepfake Detectors Can Generalize Attribute-guided collaborative learning for partial person re-identification

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:43.302872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.530722Z digest=sha256:966ecb67746fcd3a7413d25043a39c94df53236a8b1eafbcb81431eb379e2e22

Observation 0efa6a3a-37ca-4bef-b51d-b1858634e98f · outbound

This paper cites Multi-factor adaptive vision selection for egocentric video question answering.

Fair Deepfake Detectors Can Generalize Multi-factor adaptive vision selection for egocentric video question answering

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:43.173872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.610064Z digest=sha256:d8b373069c2a3abd1a72e30ea94eb26607dfc2bcb042ef4fa621dceb869ef0b8

Observation 2e1fa73c-799b-4311-ab1c-a1b69cf72381 · outbound

This paper cites Devlbert: Learning deconfounded visio-linguistic representations.

Fair Deepfake Detectors Can Generalize Devlbert: Learning deconfounded visio-linguistic representations

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:43.038990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.671444Z digest=sha256:a2370c16080539225baff1399b35d84ed0bd774febdff9b2d2a9fc88d04f08d7

Observation 190e6d5f-40f9-4002-995f-50196a00cb71 · outbound

This paper cites Multi-attentional deepfake detection.

Fair Deepfake Detectors Can Generalize Multi-attentional deepfake detection

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:42.902078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.729628Z digest=sha256:341fed93be0cf425e2d242f4ec077626353134b2f597877e70bd1aa5948e5600

Observation 2d476c50-48c8-4cf4-94c5-7dfa471aa989 · outbound

This paper cites Joint audio-visual deepfake detection.

Fair Deepfake Detectors Can Generalize Joint audio-visual deepfake detection

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:29:42.762215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.787763Z digest=sha256:f43ebbf96f0140b3e4a3a6de33832dad3e212a919fcc4ca4cfa09139f10010ad

Observation e2b003f4-7543-4341-8810-10fe90f2fb29 · outbound

This paper cites write newline.

Fair Deepfake Detectors Can Generalize write newline

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:41.843332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:41.843332Z digest=sha256:cff72f38d1f377692d50ed2e5e87d665c664ffa70185f48a0c70a273a5ed05e3

Observation 5baccc33-5ebd-4f1d-89bb-342744f4753a · outbound

This paper cites @esa (Ref.

Fair Deepfake Detectors Can Generalize @esa (Ref

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:41.920325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:41.920325Z digest=sha256:6f32352a4dbcde30214c9c41b95d17d277fda59bb344bf0732766f4dd47b7779

Observation 7021568a-ee13-419d-a398-ff02bea81c43 · outbound

This paper cites an unresolved cited work.

Fair Deepfake Detectors Can Generalize Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:41.988269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:41.988269Z digest=sha256:4a1526611bb9747bd7a1510b0f26eb236125c711a47bc3dd98ea54ed8e52a463

Observation 11792e94-4a29-4978-97e7-7bfaf9c7a858 · outbound

This paper cites -s sR =I . QҬ O !@— jw]Ur R( Q(T9 ejb /2 ^+ 30U^ L[fp 1 S@I <LⴖƝV` = I2 PC4@ 80Na@y^ tDm ,r 5 I ,pa #ZF ^c U !ǽ.

Fair Deepfake Detectors Can Generalize -s sR =I . QҬ O !@— jw]Ur R( Q(T9 ejb /2 ^+ 30U^ L[fp 1 S@I <LⴖƝV` = I2 PC4@ 80Na@y^ tDm ,r 5 I ,pa #ZF ^c U !ǽ

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:42.080977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:42.080977Z digest=sha256:70d4ac35bad8d990a308a1b1c2c26737be9da87c02e52aed21083dc9a6a95b9c

Pith citing papers

Observation a587e44f-ed77-42f0-82f4-08034c65e3e2 · inbound

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

Toward Calibrated, Fair, and accurate Deepfake Detection Fair Deepfake Detectors Can Generalize

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-06-28T07:11:45.342269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:1934396e3a578b3512f0d130b80e2a25579cb85b5ed399f89d9d71364ff93d4f