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Paper Citation Record · LEDGER

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.05302.

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

pith.paper-citation-record.v1
2507.05302 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:58.593344Z

measured 42 of 42 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81d1965d-bb61-47f6-87ec-ffa41e5a006a · outbound

This paper cites A large-scale universal evaluation bench- mark for face forgery detection,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection A large-scale universal evaluation bench- mark for face forgery detection,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.173932Z

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=pdf_text observed=2026-08-06T19:45:58.428986Z digest=sha256:8fd3c923d164e59d10647739c428ce6790b734474f12c30b03bfd0fff78be39f

Observation 24d48cc9-57cc-42ae-9613-b53062df61a3 · outbound

This paper cites Local relation learning for face forgery detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Local relation learning for face forgery detection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.148339Z

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=pdf_text observed=2026-08-06T19:45:58.447378Z digest=sha256:e0628b7b8b4c593f92f2be0f515b86b43a5aba806520b28e8c3f3401715b8e5d

Observation b9e6b8eb-4e74-4a66-8f6a-a5162bbb72c3 · outbound

This paper cites Dong, Jin Wang, Jiajun Liang, Hao- qiang Fan, and Renhe Ji.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Dong, Jin Wang, Jiajun Liang, Hao- qiang Fan, and Renhe Ji

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.108616Z

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=pdf_text observed=2026-08-06T19:45:58.460452Z digest=sha256:d168d5716b6573f71a6ec06406209d9773e1962dec65fe2de0dbb02b2cbbacc6

Observation 24f8fa9e-e04b-45e2-a8e3-0b57e60d9406 · outbound

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

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.094427Z

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=pdf_text observed=2026-08-06T19:45:58.464360Z digest=sha256:ecf81a5a49ce4b7fc25aaa60906471c976aba6ddc8674d19f7e23c4dab4634d0

Observation 7391937f-11b6-47a8-8dad-d84d3212fe0f · outbound

This paper cites Large language models cannot self-correct reasoning yet.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Large language models cannot self-correct reasoning yet

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.064250Z

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=pdf_text observed=2026-08-06T19:45:58.471910Z digest=sha256:7619da695bb1fbca2116666f7b8e39518caab45d69e7ad5b75813d06793d46d2

Observation 23c3a7f9-842a-4ef2-ad1a-0e6839e5b5fc · outbound

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

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Deeperforensics-1.0: A large-scale dataset for real-world face forgery detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.051000Z

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=pdf_text observed=2026-08-06T19:45:58.476104Z digest=sha256:0267ee9bdb7006b6329d1c831805121a8ed3e8a7101f2ebdbb90c3807ce8f94f

Observation 18fd1571-67cc-4463-b82d-6bee935e2cdd · outbound

This paper cites Clipping the deception: Adapt- ing vision-language models for universal deepfake detec- tion.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Clipping the deception: Adapt- ing vision-language models for universal deepfake detec- tion

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.037929Z

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=pdf_text observed=2026-08-06T19:45:58.479921Z digest=sha256:831309361438dafd7f6a73830e6a04579aad0630e94e18ef1a98d520578c4387

Observation b7baa7e5-587a-4213-8fc7-afe993e64227 · outbound

This paper cites Moe-ffd: Mixture of experts for general- ized and parameter-efficient face forgery detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Moe-ffd: Mixture of experts for general- ized and parameter-efficient face forgery detection

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.023924Z

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=pdf_text observed=2026-08-06T19:45:58.483768Z digest=sha256:8c697c7926c8cc59de4df614524f9b97c72bca7e96693e6ce7825fc1786d34b7

Observation 6acba9a7-ad83-47d2-8b1e-7e468816adf5 · outbound

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

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Face x-ray for more general face forgery detection

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.010993Z

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=pdf_text observed=2026-08-06T19:45:58.487712Z digest=sha256:9511e09040ea4a98e6a0108326f449e6ff0829bb3b919203da919d881d7e1ca4

Observation 4e398b51-3d2c-46cf-977d-8869666cc8b6 · outbound

This paper cites Blip: Bootstrapping language-image pre- training for unified vision-language understanding and generation.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Blip: Bootstrapping language-image pre- training for unified vision-language understanding and generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:58.491535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:45:58.491535Z digest=sha256:cfc840cee7e3bb0d1b8297cf7e756481dd0bc4f41b2bc5a5f8b0901654834535

Observation 48d4047d-220a-452b-889a-d791a1cd6bf4 · outbound

This paper cites Let’s verify step by step,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Let’s verify step by step,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.986899Z

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=pdf_text observed=2026-08-06T19:45:58.495414Z digest=sha256:827860d1be5124730bdaf9430ae1213c1dd60d83ea9d293c47e12b33c72bc763

Observation 3073bc0d-aab3-4f58-8cb4-f08b31754b66 · outbound

This paper cites [Liu et al., 2023] Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection [Liu et al., 2023] Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.974258Z

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=pdf_text observed=2026-08-06T19:45:58.499393Z digest=sha256:452ed26817052072acff289d0e40d126798dc428de1908848191bf1f9d8c41e1

Observation 30d78019-e78c-4dff-8f78-1dd729555760 · outbound

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

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Generalizing face forgery detection with high- frequency features

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.960238Z

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=pdf_text observed=2026-08-06T19:45:58.503412Z digest=sha256:6213e8fa793ce9994d37d79e639f7f04f729d206f89cca878b53e7dc6e3194ae

Observation 0493916b-61c2-4934-b988-a4758e8f94b9 · outbound

This paper cites Beyond the prior forgery knowledge: Mining critical clues for general face forgery detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Beyond the prior forgery knowledge: Mining critical clues for general face forgery detection

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.947344Z

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=pdf_text observed=2026-08-06T19:45:58.507615Z digest=sha256:a14bedf17d2f7a8f967bd3420c5d88385083e066a17aa297d6ae772894f23e59

Observation 0b9403c6-a7e9-42a6-8eff-83e30825691e · outbound

This paper cites Critique abil- ity of large language models,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Critique abil- ity of large language models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.934742Z

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=pdf_text observed=2026-08-06T19:45:58.511791Z digest=sha256:db3c4e6a29be914cbccfa1a80d45821e78bb6966e43f9e640d464af09276ce14

Observation accd97d5-53ae-4c33-a8e9-8d35390e7384 · outbound

This paper cites Self-refine: Iterative refinement with self- feedback,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Self-refine: Iterative refinement with self- feedback,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.921526Z

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=pdf_text observed=2026-08-06T19:45:58.515479Z digest=sha256:563562bbee4e3efb17039507e9d39f1448a18fd88b789c0278763b6084229492

Observation b5f56d19-66a2-411e-993e-d2391cc3d0c9 · outbound

This paper cites Detecting GAN-generated Imagery using Color Cues.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Detecting GAN-generated Imagery using Color Cues

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:58.519454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:45:58.519454Z digest=sha256:25cb63021080a7b9d2cc4b0b477c7177ce6fb92fa1eb6fb884c5aa4d88f27370

Observation b6f3ea33-8f0c-4042-82da-5858f46bd931 · outbound

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

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.884003Z

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=pdf_text observed=2026-08-06T19:45:58.531694Z digest=sha256:92b1f4b8368f316abf5b9f6c92c429bd8898d5a2244f64ff21c2e69440b49a5b

Observation 501db52f-5687-4147-8c45-6cda589c1575 · outbound

This paper cites an unresolved cited work.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:45:58.871870Z

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=pdf_text observed=2026-08-06T19:45:58.535530Z digest=sha256:b9dc571b83db7804fedc411f6ed8324e47869394e43150e525535b5f0255bc17

Observation b0afab8f-64a3-4a64-a04b-ec6720e618fd · outbound

This paper cites Self-critiquing models for assisting human eval- uators,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Self-critiquing models for assisting human eval- uators,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.858856Z

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=pdf_text observed=2026-08-06T19:45:58.539360Z digest=sha256:63bdf4057ccc464f2446ae8cf5c4c3484822884852b439197f77c8f5c12df929

Observation 759aa0d6-f1b4-4f5f-ac40-efeb4adbb255 · outbound

This paper cites Adaptive face forgery detection in cross domain.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Adaptive face forgery detection in cross domain

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.846373Z

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=pdf_text observed=2026-08-06T19:45:58.543682Z digest=sha256:3a783a77941022e608e4292dff3da53ba7f5549df44872d63024671df37ac63a

Observation f387bfd4-256a-4547-af0f-9d9b0ce193de · outbound

This paper cites Stable Diffusion.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Stable Diffusion

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.833835Z

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=pdf_text observed=2026-08-06T19:45:58.547635Z digest=sha256:12b75a8b024c7adea19a1efedfe8adf3bf685a796239d25e2a51db1571df8736

Observation 00e5196a-0392-4178-b8d1-da2d393c0bb2 · outbound

This paper cites Domain gen- eral face forgery detection by learning to weight.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Domain gen- eral face forgery detection by learning to weight

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.821428Z

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=pdf_text observed=2026-08-06T19:45:58.551555Z digest=sha256:c78a75dd8837896bfb108e3032217ec947c43d862bfac7751f3234cb2ae582a2

Observation 0b0dbb6b-3564-4f42-bd61-9403aa7b572e · outbound

This paper cites Dual con- trastive learning for general face forgery detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Dual con- trastive learning for general face forgery detection

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.808748Z

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=pdf_text observed=2026-08-06T19:45:58.555349Z digest=sha256:747d15d416dadbde6272f9de92209facf75ffb27cb1310618e6a2f76ccdc5d97

Observation 14601b23-6b7c-4c5e-833b-62596a423692 · outbound

This paper cites Efficient- net: Rethinking model scaling for convolutional neural networks.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Efficient- net: Rethinking model scaling for convolutional neural networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.793980Z

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=pdf_text observed=2026-08-06T19:45:58.559048Z digest=sha256:7d1d704ec670b0527e16e8e1bc3514ae9ed9cf6a9992d9f31b8c8230e0e5b6e1

Observation 365b98b9-9bb8-4980-b0b0-077b039c5f08 · outbound

This paper cites Representative forgery mining for fake face detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Representative forgery mining for fake face detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.780855Z

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=pdf_text observed=2026-08-06T19:45:58.562798Z digest=sha256:2c50bef8c5cd07912ab0983b602645d5896e53220d0d8e47761be5dbf9d0f9bb

Observation 40c8ef77-200f-4b63-8a5d-84a8545aef68 · outbound

This paper cites M2tr: Multi-modal multi-scale transform- ers for deepfake detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection M2tr: Multi-modal multi-scale transform- ers for deepfake detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.767882Z

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=pdf_text observed=2026-08-06T19:45:58.566444Z digest=sha256:5bc04a2efe38a41c2c7c2d0941d6d5c5c2f0d1c0cd34cfbeafa8a6dcafab9f06

Observation 7fcbc146-e74b-4593-92de-60ac3c44e46f · outbound

This paper cites [Wu et al., 2023] H.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection [Wu et al., 2023] H

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.754881Z

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=pdf_text observed=2026-08-06T19:45:58.570199Z digest=sha256:77da8afb6f03a3f629e512734ce4679946333095f13bded07518c6c7b6e67bd5

Observation 00cf0074-7e42-4f43-8cc1-b8b7f1b0ada4 · outbound

This paper cites Visco: Benchmarking fine-grained critique and correction towards self-improvement in visual reasoning,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Visco: Benchmarking fine-grained critique and correction towards self-improvement in visual reasoning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.741478Z

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=pdf_text observed=2026-08-06T19:45:58.574283Z digest=sha256:3868af54c2f6dc569323300fa78e1dd5d7731e39140005a6182b656ad3345db4

Observation 083d57f8-470f-4508-ba7b-454545b6555f · outbound

This paper cites Large language models are con- trastive reasoners,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Large language models are con- trastive reasoners,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.727318Z

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=pdf_text observed=2026-08-06T19:45:58.578011Z digest=sha256:31bcfbde72c0d362b694056cf649f79a4241831726d3a914f74cbaa160b21ac9

Observation 1c2e5365-3ae7-4410-9a1a-f1902554922c · outbound

This paper cites Common sense reason- ing for deepfake detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Common sense reason- ing for deepfake detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.713785Z

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=pdf_text observed=2026-08-06T19:45:58.582175Z digest=sha256:13c95b904fc2ca12ae5116ddb1273f49a7e9a8f2006be84bf3ad81083259d941

Observation a921a0c7-89a2-48c2-bee5-e3f5ef90162e · outbound

This paper cites Uia-vit: Unsupervised inconsistency- aware method based on vision transformer for face forgery detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Uia-vit: Unsupervised inconsistency- aware method based on vision transformer for face forgery detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.687797Z

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=pdf_text observed=2026-08-06T19:45:58.589832Z digest=sha256:04933e23d94b6910b5b769c862a4c40533ab68778047b6f35afc1ba64bb1bcbe

Observation 2517c01c-59f0-471c-983f-eed6e6687e39 · outbound

This paper cites Wilddeepfake: A chal- lenging real-world dataset for deepfake detection.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Wilddeepfake: A chal- lenging real-world dataset for deepfake detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.674374Z

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=pdf_text observed=2026-08-06T19:45:58.593344Z digest=sha256:1cf7f75847cc26dd0ebb310748e73855a5c7860b715e3bc9356a32a67b0832cb

Observation 1af72af2-73e5-468a-a3df-8839d665d848 · outbound

This paper cites On the detection of synthetic images generated by diffusion models.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection On the detection of synthetic images generated by diffusion models

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.122400Z

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.

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Observation 981d8f35-950a-45e1-a9fe-390a1f5c0f09 · outbound

This paper cites Detecting gan-generated imagery using saturation cues.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Detecting gan-generated imagery using saturation cues

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.908939Z

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=pdf_text observed=2026-08-06T19:45:58.523960Z digest=sha256:4a1825c772ef7a7c31f2286c2b2f7489ebc14b6131a1599e3954a2dc75f6ed4f

Observation 1b5c5e71-b0a7-400d-8617-eb66567cef68 · outbound

This paper cites Midjourney.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Midjourney

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.896630Z

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.

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Observation e6fe7d46-c4a7-46fe-b832-15da3af5721c · outbound

This paper cites Critic: Large language models can self-correct with tool- interactive critiquing,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Critic: Large language models can self-correct with tool- interactive critiquing,

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.080435Z

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.

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Observation 9908b1fb-79d3-4f0f-9f54-5379b09dd834 · outbound

This paper cites Star- gan: Unified generative adversarial networks for multi- domain image-to-image translation.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Star- gan: Unified generative adversarial networks for multi- domain image-to-image translation

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.135565Z

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=pdf_text observed=2026-08-06T19:45:58.451517Z digest=sha256:4240ac545211772b4b790115698eb5f26de17a00b897dbbe2ee98a98d0d3f702

Observation 9d47626f-6f6e-4e3e-96b3-f897c1265385 · outbound

This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:58.438153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2dc3b664-272f-45f3-aeda-88d0e7868b84 · outbound

This paper cites Antifakeprompt: Prompt-tuned vision- language models are fake image detectors,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Antifakeprompt: Prompt-tuned vision- language models are fake image detectors,

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:59.161300Z

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.

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Observation 528891eb-3aa1-4219-98bd-c764357a07c4 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:58.433492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:45:58.433492Z digest=sha256:16008a0f051b2ddb762ef4ae967cc5bcba3e2b757485d55ab8d06bc618ad5e85

Observation fed096e5-c1fc-4016-94de-2b63dec9efe2 · outbound

This paper cites A survey of large language models,.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection A survey of large language models,

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:45:58.701058Z

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.

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Pith citing papers

No inbound Pith citation observations are available.