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Paper Citation Record · LEDGER

Fair Deepfake Detectors Can Generalize

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.248837Z digest=sha256:9ceb57e68604a959289a3bce54dba1173dde7077ff331c8979867e30102f1664

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.368565Z digest=sha256:d17f05ea052d0c66b9d6bccf119dc584919da246f7ced02407460adca0ee9783

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.468943Z digest=sha256:79ea7ebca65a474bb81b7fea59e8026d4076a429c72a2a84d954cf1cbec24b20

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.564234Z digest=sha256:de6fd5b0e043482385f0f4254e820820ae4bf7a4b0a87ae6e096c2cd91d81175

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.670525Z digest=sha256:31b1c968478505817b70b4553058e01b0c59d6ddb0ddccee1d98396a7d091b3c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.773169Z digest=sha256:67ad91e441401fb99e69644cb7ef580cfdbbeaa0049d775885514638b787b34c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.870702Z digest=sha256:e474fe4dc0cd973ba5b20096a2839935d7e7da4a79b64edddb806819c5794a0d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:35.977114Z digest=sha256:ad5d6b1f4ffc1eccd63864f09dc62e18c7cbd8d01bd349746b52f2178a6274b3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.089893Z digest=sha256:b13b86e0153a4fe6345a15917a52a295ba7c3d5e8c853d24a27933b4c5726f5b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.202211Z digest=sha256:dc91182aed3d2941ce0c5f5768e952c5b6308511f9f9ec348c340b93c00d71f9

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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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.273280Z digest=sha256:6b5c2791539799943835b7c0551658cb6f6a136ef9d48d2e462e423d1b3df7fe

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.396687Z digest=sha256:f85c5412121d7f21d0fe354c7e5f795e4e4ac91b6569898eba88ba70469bd277

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.518069Z digest=sha256:d5b9e51987e83fa287d36cfb419f98b8d5772b41ec6ef2a7bc9a54fb6062fc62

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.659395Z digest=sha256:2b0a925ccd578de8e7fbad979bd7a438b0118523e1d9594dbe15b3a5d2a4528e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.685283Z digest=sha256:3abef7b8828fc5580d901db4ceb80aeef0c394cf035204182764d9f78a760097

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.757824Z digest=sha256:3d8a3854eb30cc9cf23a9d1fe2eee3e217f1cf548ece9b2973cbfb054743a349

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.855428Z digest=sha256:cdd685927ff5fe92325a24213cd58bd88e9b12b85cda4a4f56f8077b416b02f0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:36.950274Z digest=sha256:253851bf54bac486812ae3de75a0a67be51ecf4118db9c8c16ea7662eb4922dc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.031884Z digest=sha256:86a0feb95c09c42f9d654cbf20c3978a60e1a5ac91c4a4a52be88ebeb8c5b99b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.153947Z digest=sha256:11a162c20b873f3fb4c8b9028b71b3f0e3fe230904ae76409227f77b778f88de

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.243209Z digest=sha256:7f161f7673943e059901273fd261709bf00647e2b58741bea80bf9cb87c9c473

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.389654Z digest=sha256:45c52bfdf9121b5e515e66ba1f8c913c3789c98a1e7a743ccd134cf1441b88ee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.441546Z digest=sha256:d2cb201913c3be38e909339e7288b66ff36d10f316f4920ec74b0051b7d16124

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.492315Z digest=sha256:9215d883150d2cc97f91ab6151f6a9c61e41f8949841b093531fe1fe72be0d5d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.604301Z digest=sha256:0efca9ebd1411bcfc0ea62bc906ed4ea5bd1a509663780e8d0d375303e8d6a32

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.826078Z digest=sha256:26f329cce53d5041b0df5122ba3c09a556cb5f87c15a6093c2c2121a5437cf64

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:37.963376Z digest=sha256:f6addfbe3441039ff350a2010c8153d4b4d0dc6eb7b567314cab56f1c2fad7a6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.052408Z digest=sha256:d162ae75072ae3d852469e03c81e96c5674af06dd09c7085028a99d5ccbd22cc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.131795Z digest=sha256:f21de9f00eb3bd7081c9a423940fa8d215ed8bc250cca2780427fc75e9232399

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.185099Z digest=sha256:469f407f51d93919160d3d666b9d8f7a90b484ab32b957919ad803e31f92ec8a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.244364Z digest=sha256:997b12bda5f0f83042430d432334b6188d8e89eb215e92736349fc91bd243cf1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.303925Z digest=sha256:24b7b2184e187ce80520a059c63ea890bb46f8ac335a20818249d687addad799

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.358702Z digest=sha256:c8760d25a14f83e7157ae0e1728c172ace0b4f4c56e62db32d82d619f4295860

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.416699Z digest=sha256:8715eaad86902e0fe2bc8289af6ff0c547d64a8c91637caaed5e35abf0490390

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

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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=sha256:98714cda7714e12df4014785ab404884dc5be3777ef590a59f9a449e39fbbbc2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.555325Z digest=sha256:e9317f3252bda45b4d3144e6ef4a75d07f08fbecd8c15b3a7ba8299515f6d20a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.659953Z digest=sha256:057df9ccbf2795c4d6c1376b562b7c1c3cad5cb4cbb7281b31e7ec8691ab2723

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.729029Z digest=sha256:fe570365f6bee967ce165445e1e5a38d4875dc8352984f5510c5a8130a95dcfe

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.822157Z digest=sha256:bffda0b7dca073c78747d2264f047cd7605ec81479fd19bf043249550b97e4a5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.922386Z digest=sha256:c3654ea28c4f7956c6edb4b44ceed7f11e57efce749cf9f16fbadf5fbb9b7674

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:38.984903Z digest=sha256:cea6d7c327eb0de3832eb8ce5b25bec8e42b9e2db7d3c2c468eb2b94a07df4ec

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.069770Z digest=sha256:6eca997a25dfe10d670f9752365740575e03b6db1503ca54fbc4b60aabc89448

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.168013Z digest=sha256:5bfc2825f642717918e9f91071b31d42140c75cac3ff46769724391b57d37d86

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.254467Z digest=sha256:e78dc3a94593c01cf4c8452dbc4827e9ed2619e73c2702296ffb927ff25131ed

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.349419Z digest=sha256:b8fa4734a4121550a1d8f622e7a8489481cf17d5e5c8011a1703a6ce41e36528

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=sha256:6ddad76a62b239f6bb08dc5ead3e31ea9cbbf70b00c0e6bb29d9c9b88fe561aa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.514062Z digest=sha256:833652a0ed3a26cfd9314d0f92995cd63f50ea56db6b58bf8b34a04c7e784192

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.622659Z digest=sha256:ad28ce152b9e92f93754d097cdaff0ca0b344e44fc1faff9454bdf45afc888d5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.753364Z digest=sha256:dc658ab8d90ef7c7ef651f3521c3ce36f29ce5c6492a594483f7de809adb05ff

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:39.823222Z digest=sha256:7b7cd868f483b2372556ec7f9831f7162e95566e6a1f68ed839dd09094b1397c

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=sha256:88f08ec35181df4c73423501a481210677f8f755536512cd4e47f40acb743e46

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.061594Z digest=sha256:aa76a71c5d8558bfc226bca0f1d6a5b4afe9f6c2f86415f63d8aac5f22d51f75

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.135617Z digest=sha256:9851391f3a960d9d6164a3e6529c9866fb3aa97298200dc008b88cfc5b2458cb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.214279Z digest=sha256:65b88fa0c79ff3c61e440760e7163d3cd3040e36169a18029885148b0e5e6dae

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.285326Z digest=sha256:063569b72e2ac3a9bbaaa08bcf504c900452dffdbe674e70802c4bb3a809448b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.369283Z digest=sha256:874b13d11cae73f3709675ad600028422f418dd1fe9924117caa6343def74c55

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.471893Z digest=sha256:95716e2fcdb85d2807dbb07d40649141fbd91ac41c70302b210e526b7884783f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.557706Z digest=sha256:9bb4f9122276bb7c5370d4cff307b3d840de532d72a37a7c5c9de9d90466976e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.634041Z digest=sha256:a84d04e44c65f332ca6eefcdc22f42088f2c7dea1f746fa20bfdd97ac7ffbcc1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.712821Z digest=sha256:a902adcfcfe7616a830fd55226d9121b89cee19123595694020a8c20db66118a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.791281Z digest=sha256:eb95371bf572d0bf76f6e80a7257d36c55845a6988d215fd05cb1411bd3c0682

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.866986Z digest=sha256:602c6bc56841e6a5655774afe699956e3d5b99fa552858f72c9cd0dda1ca7bab

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.942706Z digest=sha256:8490309f09361f6c98275668d880f5f83fd7552545a6104d5e267e61eb7138e0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:40.987781Z digest=sha256:757effc58d841c4edba0b9891dd7cf55efa529c8ad12821ddec83578cf556479

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.122142Z digest=sha256:d514e30188adc66cf38928d1c3fe434a8c649d6e1b4277c635c4476ac9e6ebae

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.247970Z digest=sha256:d2f1c28a8aab530f666dc4d61e853cb73b84e7f8eb6c1d03cef1911c6fc62e7c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.375472Z digest=sha256:4fa3e44d0a68b6ee32c3e309dca5f69db98ed38d7c69e267c9fa15e865efe9a1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.530722Z digest=sha256:d2152acbf85ace75e36ec76080cc72d070630efb3d9bdf1b43d989d18824fe96

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.610064Z digest=sha256:31649c135b9275626c2a5b5b232ef410b000d0fa619df3983fe0420c73929051

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.671444Z digest=sha256:ce34b888f6dd062555e7024d3cbda6d897a2bdcea51b5394323244c0a4aacc5a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.729628Z digest=sha256:5f87e2128b8f07f6f38627fabacd43585ca3dd3d0ae2645dd9c71f3e1d6ed83e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T20:29:41.787763Z digest=sha256:a69f20d48c72df3f975f3d87229b74cf3dce2bf34a91ed7c261b0cff4dfb07f8

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=sha256:0976843ea18833f48f729357985697d3218398cbd3e47e11bb710383750e949b

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=sha256:3e8e4868cac3090d9232e821d98cd4614a8375b07cc129c23e5e79fd55d145a1

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=sha256:23e545a5a4449f8001b90819523c4fbc981107f38de744b1590f08250d46d4ba

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=sha256:02fe65af2bcd5259ec0dd1974f39144624d475fd2b6cdc2b69d6df26fe1d328d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T07:05:18.026601Z digest=sha256:740842eab0918cbcbed9b2c863fce0732c81238f702e29baaea8481ee77fc8d6