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Paper Citation Record · LEDGER

LLMs Are Not Yet Ready for Deepfake Image Detection

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 4 inbound Pith citation observations for arXiv:2506.10474.

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

pith.paper-citation-record.v1
2506.10474 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:32:25.888929Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:08:54.359370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:39:45.171543Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact1
  • verified fuzzy46
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 166ad18b-de37-487b-8402-2a3022969c3a · outbound

This paper cites Deepfakes and stolen pii utilized to apply for remote work positions.

LLMs Are Not Yet Ready for Deepfake Image Detection Deepfakes and stolen pii utilized to apply for remote work positions

Reference 1

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raw_fallback, observed 2026-08-07T04:32:32.253711Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.457524Z digest=sha256:c61d636ebe81f9d432e32fe213705566def5acedbf049d4e4c3f2a27633dc4c0

Observation dba18f95-af0b-4ffe-a8b3-92f496c55dc2 · outbound

This paper cites Deepfake in the metaverse: Security implications for virtual gaming, meetings, and offices.

LLMs Are Not Yet Ready for Deepfake Image Detection Deepfake in the metaverse: Security implications for virtual gaming, meetings, and offices

Reference 2

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raw_fallback, observed 2026-08-07T04:32:32.244415Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.546416Z digest=sha256:156784025db8297904aedbea6cb8bca04b50f272e9719512756615714e9003a7

Observation 5767e4b2-c702-409c-ac2d-d66ecbe09d50 · outbound

This paper cites an unresolved cited work.

LLMs Are Not Yet Ready for Deepfake Image Detection Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-07T04:32:32.235081Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.621090Z digest=sha256:99c1efd8504f49813001467ba7eab4c8699080f2d68f6f14afbb36a6aef18343

Observation 33d60394-5117-4cf7-aed1-d61eba51289c · outbound

This paper cites Classifying genuine face images from disguised face images.

LLMs Are Not Yet Ready for Deepfake Image Detection Classifying genuine face images from disguised face images

Reference 4

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raw_fallback, observed 2026-08-07T04:32:32.226215Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.675493Z digest=sha256:960238746a5b391316db43ba650fed928f5e8faf230e8369104d57bb65057f19

Observation 58c40b11-08e8-44d0-9cad-7a08b5830be2 · outbound

This paper cites Seeing is living? rethinking the security of facial liveness verification in the deepfake era.

LLMs Are Not Yet Ready for Deepfake Image Detection Seeing is living? rethinking the security of facial liveness verification in the deepfake era

Reference 5

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raw_fallback, observed 2026-08-07T04:32:32.217048Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.784444Z digest=sha256:f97f041419ccbbbf9c7ea2bac60ce49577d172a20bfa790793528a7333dcfbce

Observation c57fc72b-9255-4f2b-bbb0-d6870b1d7988 · outbound

This paper cites Evaluating trustworthiness and racial bias in face recognition apis using deepfakes.Computer, 56(5):51–61, 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Evaluating trustworthiness and racial bias in face recognition apis using deepfakes.Computer, 56(5):51–61, 2023

Reference 6

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raw_fallback, observed 2026-08-07T04:32:32.207554Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.876499Z digest=sha256:66d8def1b56df045db3b5527535189e0c8566ef0af13999b271fe714bb366984

Observation c13760f6-a71f-44e0-8b6a-10b271bd63d5 · outbound

This paper cites When george clooney is not george clooney: Using genattack to deceive amazon’s and naver’s celebrity recognition apis.

LLMs Are Not Yet Ready for Deepfake Image Detection When george clooney is not george clooney: Using genattack to deceive amazon’s and naver’s celebrity recognition apis

Reference 7

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raw_fallback, observed 2026-08-07T04:32:32.198240Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.915659Z digest=sha256:1adecd94fe44b4800a1c5ad6b03d6bffc358e9c3585f31c31feff267f4eee813

Observation ecc6c882-f7b9-42ab-b4f6-5277fbef87c6 · outbound

This paper cites Am i a real or fake celebrity? evaluating face recognition and verification apis under deepfake impersonation attack.

LLMs Are Not Yet Ready for Deepfake Image Detection Am i a real or fake celebrity? evaluating face recognition and verification apis under deepfake impersonation attack

Reference 8

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:20.988141Z digest=sha256:30974bc6d11731adf08f3fe4c36f619e59fad668b15338ef359ca7676e040a6b

Observation 943e1172-668d-40e2-ada3-ce386582ee87 · outbound

This paper cites Le and Simon Woo.

LLMs Are Not Yet Ready for Deepfake Image Detection Le and Simon Woo

Reference 9

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:21.059899Z digest=sha256:74fe9dbd8e59576f50c78c914df880adce7b216428abdfe9e7d7636d8866d3b8

Observation 86a887b9-7ab7-42e3-947b-da453714e1f4 · outbound

This paper cites Self-supervised video forensics by audio-visual anomaly detection.

LLMs Are Not Yet Ready for Deepfake Image Detection Self-supervised video forensics by audio-visual anomaly detection

Reference 10

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raw_fallback, observed 2026-08-07T04:32:32.168920Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:21.097934Z digest=sha256:d793eeda0fb17dd9eeabc7626c580a646602e53d1a1c073e99b630d8c9b9972d

Observation ca6d9360-cb1c-4902-8be8-311062c2a8f3 · outbound

This paper cites Aunet: Learning relations between action units for face forgery detection.

LLMs Are Not Yet Ready for Deepfake Image Detection Aunet: Learning relations between action units for face forgery detection

Reference 11

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raw_fallback, observed 2026-08-07T04:32:32.158833Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:21.195317Z digest=sha256:1a168b18e0cca8b80ce1195041fab175dc18903b0f629a0c7338cceaa71730a3

Observation d0192426-d87a-488e-b550-637a6f04891d · outbound

This paper cites Capsule-forensics: Using capsule networks to detect forged images and videos.

LLMs Are Not Yet Ready for Deepfake Image Detection Capsule-forensics: Using capsule networks to detect forged images and videos

Reference 12

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raw_fallback, observed 2026-08-07T04:32:32.149324Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:21.297889Z digest=sha256:31818d80132c5fd32746d0a2db42b62eb90f591f53ebcf253c221ee27d831a4d

Observation a7a000ea-0f61-47b2-b053-548811c385ed · outbound

This paper cites One detector to rule them all: Towards a general deepfake attack detection framework.

LLMs Are Not Yet Ready for Deepfake Image Detection One detector to rule them all: Towards a general deepfake attack detection framework

Reference 13

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raw_fallback, observed 2026-08-07T04:32:32.139107Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:21.408955Z digest=sha256:b0d61a98f96e5f16ed9832622ccadd3528aa16cd393eb5943284543dd9cc3c3e

Observation eed62266-385e-4d3e-9d29-7e2830038f21 · outbound

This paper cites Apparatus and method for detecting deepfake based on convolutional long short-term memory network, September 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Apparatus and method for detecting deepfake based on convolutional long short-term memory network, September 2023

Reference 14

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raw_fallback, observed 2026-08-07T04:32:32.126579Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:21.655476Z digest=sha256:1c3572ce38e85e87d5769f85a53284f8d6cbba9548b7e7e7b7a450326aafc776

Observation 30188ac1-a1f8-493d-b400-00ded248a167 · outbound

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

LLMs Are Not Yet Ready for Deepfake Image Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 15

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raw_fallback, observed 2026-08-07T04:32:32.024408Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:22.316239Z digest=sha256:9aa850b844defad06adf904256211b45a3902ca1585f5fe6a259d27a4d958c6c

Observation 120f3661-76da-4c1d-87ec-9416f6a45bee · outbound

This paper cites Adaptive face forgery detection in cross domain.

LLMs Are Not Yet Ready for Deepfake Image Detection Adaptive face forgery detection in cross domain

Reference 16

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raw_fallback, observed 2026-08-07T04:32:31.877995Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:22.441398Z digest=sha256:3b48bcfec650d4f7932d46b9fe46d69c84fc778662c3dca71f7921c563fadaed

Observation 6c16dd89-1d89-4d8c-babc-abc3691eb01c · outbound

This paper cites Add: Frequency attention and multi-view based knowledge distillation to detect low-quality compressed deepfake images.

LLMs Are Not Yet Ready for Deepfake Image Detection Add: Frequency attention and multi-view based knowledge distillation to detect low-quality compressed deepfake images

Reference 17

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raw_fallback, observed 2026-08-07T04:32:31.637916Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:22.578842Z digest=sha256:6cc36334898f00552913f534f02398e6521837afbfc39230b9effc7885ce573b

Observation 6d3a1a97-eadc-47cb-9708-c69deea71135 · outbound

This paper cites Exploring the asynchronous of the frequency spectra of gan-generated facial images.

LLMs Are Not Yet Ready for Deepfake Image Detection Exploring the asynchronous of the frequency spectra of gan-generated facial images

Reference 18

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raw_fallback, observed 2026-08-07T04:32:31.412605Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:22.690066Z digest=sha256:8db7cabcd4261263345b77fa1df34c7e069ab394f84a8755b90341c6805925a4

Observation 89d0a388-eabd-4169-9f69-43ce7ac1f482 · outbound

This paper cites Tar: Generalized forensic framework to detect deepfakes using weakly supervised learning.

LLMs Are Not Yet Ready for Deepfake Image Detection Tar: Generalized forensic framework to detect deepfakes using weakly supervised learning

Reference 19

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:22.850328Z digest=sha256:37ac9167751b9b4350dc04ed3a6528057ea401a0246f6ed417ea79b025e99c49

Observation 455047e8-5790-4b94-8b58-db7f9522b9be · outbound

This paper cites Detecting hand- crafted facial image manipulations and gan-generated facial images using shallow-fakefacenet.Applied Soft Computing, 105:107256, 2021.

LLMs Are Not Yet Ready for Deepfake Image Detection Detecting hand- crafted facial image manipulations and gan-generated facial images using shallow-fakefacenet.Applied Soft Computing, 105:107256, 2021

Reference 20

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:22.977544Z digest=sha256:23522c6c290ff9c0c291731c5d91446feef6ab3cb364b7cfcf131cb797a950bb

Observation f2cebcaf-7547-4794-8ce6-a2e7c1091eb0 · outbound

This paper cites Ugad: Universal generative ai detector utilizing frequency fingerprints.

LLMs Are Not Yet Ready for Deepfake Image Detection Ugad: Universal generative ai detector utilizing frequency fingerprints

Reference 21

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.096862Z digest=sha256:4fceb7864bf1b5907ddca006a335a51cd9b999fa6f76f601fa64349cf8a71c5c

Observation 5bcd3b35-3021-4449-b3a9-d36ccd1ee0bc · outbound

This paper cites Altfreezing for more general video face forgery detection.

LLMs Are Not Yet Ready for Deepfake Image Detection Altfreezing for more general video face forgery detection

Reference 22

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raw_fallback, observed 2026-08-07T04:32:30.809292Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.189555Z digest=sha256:d63e49cfd06103075439d4cd22000f28744451977098e89ce5ba330974493ad9

Observation 352a8903-d0e6-47d5-b8e3-7c5f04f5f9e5 · outbound

This paper cites Learning on gradients: Generalized artifacts representation for gan-generated images detection.

LLMs Are Not Yet Ready for Deepfake Image Detection Learning on gradients: Generalized artifacts representation for gan-generated images detection

Reference 23

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raw_fallback, observed 2026-08-07T04:32:30.626037Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.266410Z digest=sha256:41463fcf8d778087caf6907b3142b96a29215af41623878a9f2e8eed1aec5705

Observation c0651b2e-a3cd-4d9a-a827-ddaf6f43c619 · outbound

This paper cites Ptd: Privacy-preserving human face processing framework using tensor decomposition.

LLMs Are Not Yet Ready for Deepfake Image Detection Ptd: Privacy-preserving human face processing framework using tensor decomposition

Reference 24

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.396213Z digest=sha256:cad470813b3d336f8a523e8aa6fd02979bd5308c700152369b79435ad2ae2f89

Observation 3ea2fcfd-c1c9-41b1-bf25-890452e986a6 · outbound

This paper cites Cored: Generalizing fake media detection with continual representation using distillation.

LLMs Are Not Yet Ready for Deepfake Image Detection Cored: Generalizing fake media detection with continual representation using distillation

Reference 25

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.498142Z digest=sha256:de96b65f01ce7deb9c9cc16b913ec31e4bb5fe0676967cfea81906ee599c88c2

Observation 2262b015-eaaf-402e-b87f-174f3c292db4 · outbound

This paper cites Fretal: Generalizing deepfake de- tection using knowledge distillation and representation learning.

LLMs Are Not Yet Ready for Deepfake Image Detection Fretal: Generalizing deepfake de- tection using knowledge distillation and representation learning

Reference 26

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raw_fallback, observed 2026-08-07T04:32:30.139850Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.642888Z digest=sha256:a74a9ea7fd9d69cbfee392d6d97ed9f46bdfd8eabf2b958ef716e560e1ca28ed

Observation ab79fe96-f26c-4013-964f-45220f9c35b9 · outbound

This paper cites Detecting both machine and human created fake face images in the wild.

LLMs Are Not Yet Ready for Deepfake Image Detection Detecting both machine and human created fake face images in the wild

Reference 27

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raw_fallback, observed 2026-08-07T04:32:29.993049Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.747346Z digest=sha256:7cb6fdec09e8d1328afd6167e8f1463c7a23802d851db6b85854f80903f05d8a

Observation 185c6249-ab42-45a1-a447-7390b9102e9f · outbound

This paper cites Gan is a friend or foe?: a framework to detect various fake face images.

LLMs Are Not Yet Ready for Deepfake Image Detection Gan is a friend or foe?: a framework to detect various fake face images

Reference 28

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raw_fallback, observed 2026-08-07T04:32:29.825231Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.801466Z digest=sha256:0e6fe539d59c7b51d73b12c352c878ba48cd1efa14728f50d02699cc7625ee0a

Observation 937b0de3-27b7-4ea1-9f59-2980f829aca6 · outbound

This paper cites A Convolutional LSTM based Residual Network for Deepfake Video Detection.

LLMs Are Not Yet Ready for Deepfake Image Detection A Convolutional LSTM based Residual Network for Deepfake Video Detection

Reference 29

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no resolver link, observed 2026-08-07T04:32:23.899685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:23.899685Z digest=sha256:69fb23a98e9b29787390b6bcdc34f05c14cfb6067defb24337b48e80d45c8a3c

Observation 05ee57fd-aed2-450f-aa98-d752459ec1d4 · outbound

This paper cites Method for performing continual learning using representation learning and apparatus thereof, July.

LLMs Are Not Yet Ready for Deepfake Image Detection Method for performing continual learning using representation learning and apparatus thereof, July

Reference 30

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raw_fallback, observed 2026-08-07T04:32:29.431032Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:23.964521Z digest=sha256:aa11124a5b01a5648346688e12b806fd5caba7f10b66e95afa05779d388a7d95

Observation d05e214f-5458-46a0-b9ea-8d28932d83a8 · outbound

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

LLMs Are Not Yet Ready for Deepfake Image Detection Faceforensics++: Learning to detect manipulated facial images

Reference 31

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no resolver link, observed 2026-08-07T04:32:24.147748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:24.147748Z digest=sha256:19ca339c6455f0b6d580a5c801aa86535f1274c86c92363ba973c0a87f57c065

Observation 72a4a22a-00fb-4a4e-bc0e-ce5525201662 · outbound

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

LLMs Are Not Yet Ready for Deepfake Image Detection The DeepFake Detection Challenge (DFDC) Dataset

Reference 32

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no resolver link, observed 2026-08-07T04:32:24.210000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:24.210000Z digest=sha256:79ee5f37b1372f872a26b586f668c61bbd0ebcc920e253f1d7d7bfed7ff69269

Observation 465d4b17-9d24-4ac4-8ece-69e43e8cb129 · outbound

This paper cites Evaluation of an audio-video multimodal deepfake dataset using unimodal and multimodal detectors.

LLMs Are Not Yet Ready for Deepfake Image Detection Evaluation of an audio-video multimodal deepfake dataset using unimodal and multimodal detectors

Reference 33

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raw_fallback, observed 2026-08-07T04:32:28.920795Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.296483Z digest=sha256:a495c95a93a6aaf4ceb9994450d1a9faf13d5752b9b4eaaf5b5d6b9b7701c3a4

Observation 26909760-4568-4a87-b21b-162a580ecf0b · outbound

This paper cites Fakeavceleb: A novel audio-video multimodal deepfake dataset.

LLMs Are Not Yet Ready for Deepfake Image Detection Fakeavceleb: A novel audio-video multimodal deepfake dataset

Reference 34

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raw_fallback, observed 2026-08-07T04:32:28.622741Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.380918Z digest=sha256:9812e782b6bec2661fbbe6b20c7a07e23b01d8c2b1023c471897c1ceb3d99c00

Observation 4da538ac-bdc2-4cbc-a995-0a90f3543938 · outbound

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

LLMs Are Not Yet Ready for Deepfake Image Detection Celeb-df: A large- scale challenging dataset for deepfake forensics

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:28.412595Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.470924Z digest=sha256:7a58b2f26c0206f482dac690200deb89d73c47e133d7fa4e587b77740c1a1f31

Observation ed46d027-4df9-44a6-be8c-23ef60c0c390 · outbound

This paper cites Le, Jiwon Kim, Simon S.

LLMs Are Not Yet Ready for Deepfake Image Detection Le, Jiwon Kim, Simon S

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:28.145136Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.569242Z digest=sha256:a9ebf7338b361235268ed224c22d64ecc525e88849dd08fa5fbec7029ccd2c12

Observation f945e729-d658-4fea-be2c-4c206bf6422b · outbound

This paper cites Towards understanding of deepfake videos in the wild.

LLMs Are Not Yet Ready for Deepfake Image Detection Towards understanding of deepfake videos in the wild

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:27.907961Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.635339Z digest=sha256:dfefd44d0b1c32f90f7f250eeae406114b64ce98d297ae9a64db03682cc1ab38

Observation 0fb313cb-9b3d-4724-9908-91d664e7c9aa · outbound

This paper cites Why do facial deepfake detectors fail? InProceedings of the 2nd Workshop on Security Implications of Deepfakes and Cheapfakes, WDC ’23, page 24–28, New York, NY, USA, 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Why do facial deepfake detectors fail? InProceedings of the 2nd Workshop on Security Implications of Deepfakes and Cheapfakes, WDC ’23, page 24–28, New York, NY, USA, 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:27.680313Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.676474Z digest=sha256:1f25d37322449914dd9a6970e83eb9fb8017a1b606f543f312b2ca17a91c4e10

Observation 82867562-d023-495b-9f28-424397efa800 · outbound

This paper cites Woo, and Shahroz Tariq.

LLMs Are Not Yet Ready for Deepfake Image Detection Woo, and Shahroz Tariq

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:27.470911Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.727864Z digest=sha256:10a0e1bff15d056b0c3de071c89fb3d4057e0a74b59363f3c81405fcf7bd8008

Observation ef39bb8f-a110-4869-b1a4-05c5d0b1c88c · outbound

This paper cites Woo, and Shahroz Tariq.

LLMs Are Not Yet Ready for Deepfake Image Detection Woo, and Shahroz Tariq

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:27.327116Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.818235Z digest=sha256:605775d4d2761345a290c421f2d953c852f5fb31b5823f9e2b07cbc41c7cb0dc

Observation 241d6679-3c86-4ba8-b557-66bbba1cf868 · outbound

This paper cites Chatgpt: A conversational ai model, 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Chatgpt: A conversational ai model, 2023

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:27.216342Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.881367Z digest=sha256:eb05e3e1f25bb3d4f341589460a2e1be666751cb3ff5699016a8940ce7c1fcc3

Observation 06405d73-178b-4129-8d68-8f0643b34c74 · outbound

This paper cites Gemini: Multimodal ai by google deepmind, 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Gemini: Multimodal ai by google deepmind, 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:27.083506Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.974459Z digest=sha256:3b7d828bd7ace2437a324565cd5fcd13f345d7771083c668a36798b9e81a73fa

Observation 23fcc478-07f6-45f3-bdea-312e4c7cf65e · outbound

This paper cites Claude: Constitutional ai assistant, 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Claude: Constitutional ai assistant, 2023

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:26.972745Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.039281Z digest=sha256:b314cf70d8bef1b375b98e1895fe3e7dad53daae98a1530f6573b0815da98540

Observation 71a3ebd9-615d-4566-ac00-1139f206b6bf · outbound

This paper cites Grok: Conversational ai by xai, 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Grok: Conversational ai by xai, 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:26.896634Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.115934Z digest=sha256:b23c3057a6faa088dbe19805e81ad189ef5f607070dfd56c4c223728e9d197ea

Observation 3753b36c-73a0-4fb8-a874-ac8135401ad5 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural Shahroz Tariq, David Nguyen, M.A.P.

LLMs Are Not Yet Ready for Deepfake Image Detection Flamingo: a visual language model for few-shot learning.Advances in neural Shahroz Tariq, David Nguyen, M.A.P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:26.777699Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.179548Z digest=sha256:c8570b7f104f4468a26402de48ea43d51a4b435baf4929ceb659c53a5a094768

Observation 2ee725cf-5702-49d7-a76b-b122c51ba9a3 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

LLMs Are Not Yet Ready for Deepfake Image Detection Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:25.232560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:25.232560Z digest=sha256:0b8bad2d9fec78bd02bb6a721aeac52e733e35b354ff2039877f024c0ce0f5e9

Observation 63e0b501-9567-4f46-bc13-e69e816f1a32 · outbound

This paper cites AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors.

LLMs Are Not Yet Ready for Deepfake Image Detection AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:25.312097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:25.312097Z digest=sha256:d032d33a1c0ed29d83e830e31b35360de5dffed225eaef8e84861063c7fa2ebe

Observation 1e60114e-a256-4e15-9965-efbdf65fe021 · outbound

This paper cites Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics.

LLMs Are Not Yet Ready for Deepfake Image Detection Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:26.662824Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.377770Z digest=sha256:9c37be1deab305182b647d8889b828bafa8712dc8f5941bcaf3f4a5651a54ba5

Observation 87576051-c288-4d70-8e51-c4ca8453a50e · outbound

This paper cites Can Multi-modal (reasoning) LLMs work as deepfake detectors?.

LLMs Are Not Yet Ready for Deepfake Image Detection Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:25.415369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:25.415369Z digest=sha256:bc2dcc6c7f5a1577b53123a4afe62621f4eb5d90ba9a7b519a00b4561fa8eb14

Observation 21eb88c4-2b75-4dd9-80b7-dc33433f6025 · outbound

This paper cites The gan is dead; long live the gan! a modern gan baseline.Advances in Neural Information Processing Systems, 37:44177–44215, 2024.

LLMs Are Not Yet Ready for Deepfake Image Detection The gan is dead; long live the gan! a modern gan baseline.Advances in Neural Information Processing Systems, 37:44177–44215, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:26.562695Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.465268Z digest=sha256:78ce50ae1103be46617557622d94de9756bbfef3bef91f9f511329ab3aa0a840

Observation 0af91e14-d6c3-4c1f-8447-670f13d22d1e · outbound

This paper cites A2c: A modular multi-stage collaborative decision framework for human–ai teams.

LLMs Are Not Yet Ready for Deepfake Image Detection A2c: A modular multi-stage collaborative decision framework for human–ai teams

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:26.458253Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.532533Z digest=sha256:f5497373a8adb797bf46599d13c3e83106fec441d508cdfdacb25d2e41c6efb6

Observation 4003423e-03b9-4ec8-b6f0-2432bdf7f540 · outbound

This paper cites Towards a criteria-based approach to selecting human-AI interaction mode.

LLMs Are Not Yet Ready for Deepfake Image Detection Towards a criteria-based approach to selecting human-AI interaction mode

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:32:26.092349Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.633017Z digest=sha256:1881403aa255162c165b092d8a75d7d5d9d087a011ab1b0cb52f04cadf05e628

Observation 780956cd-3470-4b3a-a16d-c08f05dd6597 · outbound

This paper cites Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity.

LLMs Are Not Yet Ready for Deepfake Image Detection Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:25.700574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:25.700574Z digest=sha256:5c832673f29080e665e526f1eb886ca39b418c3947c79572aa4081935157f40b

Observation 568e76db-a616-4cf8-942c-ac94db4ad52e · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

LLMs Are Not Yet Ready for Deepfake Image Detection Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T04:32:25.805203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:32:25.805203Z digest=sha256:6a18cca0c1e08ea4e9bfa00822fea7e02fe15ed522ace3f7a77d7b663167ee8d

Observation d0df8c5f-d00f-4346-b9ce-b6cdeb6f8452 · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large lan- guage models.

LLMs Are Not Yet Ready for Deepfake Image Detection Minigpt-4: Enhancing vision-language understanding with advanced large lan- guage models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:26.307347Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:25.888929Z digest=sha256:1a643303a3e0db880a5f99fe54cd71406eb107b0b6792dfa5cfd5fca0ae5f4af

Observation 0b485d12-0077-4209-b112-451a3fa2ceeb · outbound

This paper cites 18/092,590.

LLMs Are Not Yet Ready for Deepfake Image Detection 18/092,590

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:32:29.197750Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:32:24.056104Z digest=sha256:67b0b16aed3da812ae6356f69a5a11b7ff6087c192d29a465797f21695e4c541

Pith citing papers

Observation a0bc6f27-2b13-41cd-963e-c9a9b79b107c · inbound

The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses cites this paper.

The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses LLMs Are Not Yet Ready for Deepfake Image Detection

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T21:08:54.359370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:08:54.359370Z digest=sha256:3b1a14babed9e0c1bab4dda658557a74c546135f316a69439de244068e3cdfe5

Observation fe2e8c30-7841-40ba-802c-261fa120293d · inbound

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations cites this paper.

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations LLMs Are Not Yet Ready for Deepfake Image Detection

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T11:48:58.556863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:48:58.556863Z digest=sha256:4a28aff6a745079a9c3fcf54b6d0ac2b01e47b2ebaad91fa8160e86603e70671

Observation 749ea955-b750-4e6a-8442-357fc33e1914 · inbound

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users cites this paper.

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users LLMs Are Not Yet Ready for Deepfake Image Detection

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-05T22:03:46.345751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:03:46.345751Z digest=sha256:7a4f6e7acb87f8db4d29320990ad9705f97f0bbab4396e97bc9a83b142d76cfb

Observation 9279e007-d57b-4c55-8dc9-e0f9c5451c40 · inbound

Trustworthy Image Authentication using Forensic Knowledge Graphs cites this paper.

Trustworthy Image Authentication using Forensic Knowledge Graphs LLMs Are Not Yet Ready for Deepfake Image Detection

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:39:45.173347Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-26T08:39:35.247055Z digest=sha256:e9d80247f257338930895a271aae378ac2a4dab344f53f6de5f7dac937462bb8