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Paper Citation Record · LEDGER

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2507.05146.

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

pith.paper-citation-record.v1
2507.05146 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:04.187870Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

65 of 65 outbound references displayed

  • verified exact7
  • verified fuzzy21
  • unresolved24
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch10

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4df8b9d-941d-4ea6-a1b5-d85a15dc01f2 · outbound

This paper cites FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection

Reference 1

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no resolver link, observed 2026-08-06T19:36:03.762279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e8e1ee7-675f-4371-bd12-d36b1736e99e · outbound

This paper cites Naveed Akhtar, Ajmal Mian, Navid Kardan, and Mubarak Shah.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Naveed Akhtar, Ajmal Mian, Navid Kardan, and Mubarak Shah

Reference 4

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Unavailable: canonical work link unavailable.

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Observation 3ade040f-5f60-4de9-a607-a52b837c224c · outbound

This paper cites doi:10.1145/3647722.3647739.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1145/3647722.3647739

Reference 8

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:36:06.788798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 469b9545-550f-4453-b2fd-31983ec8fef7 · outbound

This paper cites VisualGPT: Data-efficient Adaptation of Pre- trained Language Models for Image Captioning.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems VisualGPT: Data-efficient Adaptation of Pre- trained Language Models for Image Captioning

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.632499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.816996Z digest=sha256:5fc30f5affb349c19c9c7551da34b210f66aee1fcc3acf81787b6ba2b66799b4

Observation 00ca41fb-c07a-437a-a71a-8e158cbc8c1b · outbound

This paper cites ISBN 978-1-6654-6946-3.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 978-1-6654-6946-3

Reference 11

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:36:03.822490Z digest=sha256:6c90e8a67fef39f4827d473ceaa9db95c3d41f63e14c106f15050df6786c00cc

Observation 5e173a21-65bd-490e-b061-7a6cf66f6982 · outbound

This paper cites Francesco Croce and Matthias Hein.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Francesco Croce and Matthias Hein

Reference 12

Resolution
malformed identifier
doi_truncated, observed 2026-08-06T19:36:04.558027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8f19ac1d-8d8c-4c0e-9744-cd4a434fd48d · outbound

This paper cites doi:10.1007/s00354-024-00283-0.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1007/s00354-024-00283-0

Reference 13

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b958ea86-fec6-4c04-bbc0-69025fce5094 · outbound

This paper cites ISBN 978-1-4503-6859-9.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 978-1-4503-6859-9

Reference 14

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Source-reported events for the cited work

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Observation bc3e6775-bee9-4ad9-bfb4-3167c2fa9045 · outbound

This paper cites doi:10.1109/ACCESS.2023.3271515.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1109/ACCESS.2023.3271515

Reference 15

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metadata mismatch
raw_fallback, observed 2026-08-06T19:36:06.403013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9b7b8ab9-cd21-42b1-9c26-89756b510e3a · outbound

This paper cites Lips Don’t Lie: A Generalis- able and Robust Approach to Face Forgery Detection.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Lips Don’t Lie: A Generalis- able and Robust Approach to Face Forgery Detection

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7da81f15-bded-4434-bad0-33d561b00a30 · outbound

This paper cites ISBN 978-1-6654-4509-2.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 978-1-6654-4509-2

Reference 18

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Observation 74c331f1-b485-4917-96eb-ec41c6beaccf · outbound

This paper cites DRCT: Saving Image Super-Resolution away from Information Bottleneck.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems DRCT: Saving Image Super-Resolution away from Information Bottleneck

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.877342Z digest=sha256:e57b31b92652b5ba321f58204a0bb82a70041d8cd7b0a4bc92c482aedef4a229

Observation e102edfe-351e-46d4-b7a9-f32744e3e6fe · outbound

This paper cites ISBN 979-8-3503-6547-4.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 979-8-3503-6547-4

Reference 21

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no resolver link, observed 2026-08-06T19:36:03.883930Z

Source-reported events for the cited work

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Observation f891fce9-00ab-430c-9431-1dcea3875011 · outbound

This paper cites Low-Cost Implementation of Bilinear and Bicubic Image Interpolation for Real-Time Image Super-Resolution.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Low-Cost Implementation of Bilinear and Bicubic Image Interpolation for Real-Time Image Super-Resolution

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7b063b81-1332-469d-9284-9b430b964f3b · outbound

This paper cites doi:10.1109/ACCESS.2022.3208131.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1109/ACCESS.2022.3208131

Reference 23

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bbb534e0-3d6e-4386-924b-dd8430a93aea · outbound

This paper cites Adversarial Examples for Generative Models.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Adversarial Examples for Generative Models

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 42dcf6b0-fff4-456e-b3d5-4584a14c28e7 · outbound

This paper cites Alexey Kurakin, Ian Goodfellow, and Samy Bengio.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Alexey Kurakin, Ian Goodfellow, and Samy Bengio

Reference 25

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Observation 263d79ce-cc03-494d-8e0d-b4f62dc6e66f · outbound

This paper cites In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking

Reference 26

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 80e1c1d2-d147-4781-bc69-b381e8fc52f3 · outbound

This paper cites ISBN 978-1-5386-6536-7.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 978-1-5386-6536-7

Reference 27

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Observation 5f5a0f96-667a-464a-b515-a5505dcdbdd8 · outbound

This paper cites Explainable Deep-Fake Detection Using Visual Interpretability Methods.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Explainable Deep-Fake Detection Using Visual Interpretability Methods

Reference 28

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c25bdba1-aa3c-4788-93e7-e351b4e20d02 · outbound

This paper cites François Menet, Paul Berthier, Michel Gagnon, and José M.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems François Menet, Paul Berthier, Michel Gagnon, and José M

Reference 29

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 942741af-36de-4e87-b03d-0c37c3a03395 · outbound

This paper cites doi:10.1016/j.cose.2019.05.014.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1016/j.cose.2019.05.014

Reference 30

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Observation 588f41de-4e7e-48df-9dcf-13d456d2f9e2 · outbound

This paper cites doi:10.1016/j.heliyon.2024.e25933.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1016/j.heliyon.2024.e25933

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 847350c2-94d4-47d6-8bfa-fd8112660eca · outbound

This paper cites Berkay Celik, and Ananthram Swami.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Berkay Celik, and Ananthram Swami

Reference 34

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Observation 8011c620-efac-47dc-9e86-680db73982dc · outbound

This paper cites Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues

Reference 35

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8302774f-9b66-4cd1-8578-35a9e745963f · outbound

This paper cites doi:10.1007/978-3-030-58610-2_6.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1007/978-3-030-58610-2_6

Reference 36

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Observation 41632080-1d2e-472e-a783-d07a46152014 · outbound

This paper cites doi:10.1007/s11633-023-1469-x.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1007/s11633-023-1469-x

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d313aa61-013e-4d2f-8d30-c4ff81541935 · outbound

This paper cites doi:10.1609/aaai.v32i1.11504.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1609/aaai.v32i1.11504

Reference 38

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Observation 930041b5-8100-4fc2-8d41-0735734afdf2 · outbound

This paper cites doi:10.1007/s11263-019-01228-7.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1007/s11263-019-01228-7

Reference 40

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Observation 0742a3a0-ddc8-4c3c-993f-c3e03edfa7c8 · outbound

This paper cites ISBN 978-1-7281-3293-8.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 978-1-7281-3293-8

Reference 41

Resolution
verified exact
raw_fallback, observed 2026-08-06T19:36:05.680742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6bfbc496-a7c7-418b-b4c0-d3e8c6f8d480 · outbound

This paper cites doi:10.1109/ACCESS.2019.2960828.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1109/ACCESS.2019.2960828

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 824ddd3e-a96e-4361-aabc-2b2b6a1ed910 · outbound

This paper cites ISBN 979-8-3503-0129-8.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 979-8-3503-0129-8

Reference 44

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Observation b8f14b60-a32c-4488-93fb-58fc88676752 · outbound

This paper cites D2Defend: Dual-Domain based Defense against Ad- versarial Examples.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems D2Defend: Dual-Domain based Defense against Ad- versarial Examples

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.463429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b7bce44b-6877-4781-b34d-3a54763398bb · outbound

This paper cites Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, and Enhong Chen.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, and Enhong Chen

Reference 48

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no resolver link, observed 2026-08-06T19:36:04.079421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1562b6e4-dfab-4fdd-b092-aac8c67d287a · outbound

This paper cites doi:10.1007/s11432-024-4251-x.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1007/s11432-024-4251-x

Reference 49

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no resolver link, observed 2026-08-06T19:36:04.084511Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:36:04.084511Z digest=sha256:25106bee5629f3c07f07ebdbd3fe521dcdd15fd575f589842cedb28d5d85a945

Observation b3037f56-00bd-4641-8cde-2d80f8c6c7a3 · outbound

This paper cites Ning Yu, Larry Davis, and Mario Fritz.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Ning Yu, Larry Davis, and Mario Fritz

Reference 50

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metadata mismatch
raw_fallback, observed 2026-08-06T19:36:05.147370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.090254Z digest=sha256:d03031a7fd865e2761bacec71b6596302c7cf4b6182661df11d17152065dc6d9

Observation ecc98676-a33b-441e-9aea-6343d12ce931 · outbound

This paper cites ISBN 978-1-7281-4803-8.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 978-1-7281-4803-8

Reference 51

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malformed identifier
no resolver link, observed 2026-08-06T19:36:04.095002Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:36:04.095002Z digest=sha256:297ad81f77b584f145a60b8203678e386e56cd0809c7754ba61d7a64bc772f67

Observation bfabab84-5c28-49c9-aac2-a649479e703f · outbound

This paper cites doi:10.1109/TIP.2018.2826139.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1109/TIP.2018.2826139

Reference 52

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metadata mismatch
raw_fallback, observed 2026-08-06T19:36:04.923908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.100092Z digest=sha256:64e68fd8265cbd38847023cb9ca6eb91ac436a2dab2102e145cf58f127f91aa7

Observation aed85650-20a1-4f14-b928-edf395cab9aa · outbound

This paper cites Clipped BagNet: Defending Against Sticker Attacks with Clipped Bag-of-features.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Clipped BagNet: Defending Against Sticker Attacks with Clipped Bag-of-features

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.445435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.105711Z digest=sha256:41252e098e3e7041a69d9261bf1f8775a2266c547fc883115d740542704939a4

Observation 6ae95e8f-aeec-449f-907d-99498b341f2c · outbound

This paper cites Zhun Zhang, Yi Zeng, Qihe Liu, and Shijie Zhou.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Zhun Zhang, Yi Zeng, Qihe Liu, and Shijie Zhou

Reference 54

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unresolved
no resolver link, observed 2026-08-06T19:36:04.111714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:04.111714Z digest=sha256:e2fa4df35f8d6b8bec3a220cc8ae847306c31c481e99c977d6ea449791228537

Observation 6d5b6335-9794-4999-8140-1ff9492190bf · outbound

This paper cites Adversarial Learning With Margin-Based Triplet Embedding Regularization.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Adversarial Learning With Margin-Based Triplet Embedding Regularization

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.427741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.118710Z digest=sha256:110058bec16d8d380f8f0475e2766d91ec6e83c1f44378d032660c974e7e6bcf

Observation 41bf35ce-86e5-4c0e-8444-bcd8671f475f · outbound

This paper cites artifact.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems artifact

Reference 56

Resolution
malformed identifier
no resolver link, observed 2026-08-06T19:36:04.123473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:04.123473Z digest=sha256:9885040c889befadbc67a6ed2a9c430de87c09ffe3937f47f2503dcc718f38cd

Observation 80a62c02-51e1-41c0-bba7-fa746e8d865d · outbound

This paper cites an unresolved cited work.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:07.410346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.128460Z digest=sha256:d95b19194f9618b825037a9cead4ea1cf3f426413f6e88f832c637bf8cfdeabe

Observation bf727821-3341-437e-8f57-80e36166a439 · outbound

This paper cites Other white-box attacks convert attacks into optimization problems, such as the Carlini and Wagner Attack (C&W) (Carlini and Wagner, 2017).

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Other white-box attacks convert attacks into optimization problems, such as the Carlini and Wagner Attack (C&W) (Carlini and Wagner, 2017)

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.392355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.133886Z digest=sha256:35c4971625cef204e9b7bd784d79e0bbefd18fc65e9670e49ebec3a30381b940

Observation 8dc16fa9-a01d-4e98-ad0f-5c4ec18d2875 · outbound

This paper cites an unresolved cited work.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:36:07.374178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.138527Z digest=sha256:7603e3cc7d293fecaff0d151517bc0c20aa06889bef8d82200ae1fd5a46ff837

Observation 712a4e72-92ad-4449-b4c1-336976fb19ab · outbound

This paper cites By slightly altering the wavelet coefficients at specific scales and then reconstructing the image, it creates an adversarial example designed to mislead neural networks.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems By slightly altering the wavelet coefficients at specific scales and then reconstructing the image, it creates an adversarial example designed to mislead neural networks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.355783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.143938Z digest=sha256:b7593897c776b9ff372f49ba241c3824361156d0aad0353d7572c8842151edb4

Observation d9f95f2e-2a3c-474b-b7df-6dd8950194fc · outbound

This paper cites PatchGuard (Xiang et al.,.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems PatchGuard (Xiang et al.,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.334429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.154843Z digest=sha256:044a2263593555ab8c6721697a096672cdb6bede25463de714e63c600a66a455

Observation b1582889-d66b-4c36-964f-a4f2bd5c26b8 · outbound

This paper cites (Goodfellow et al., 2015), (Szegedy et al., 2014), (Madry et al.,.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems (Goodfellow et al., 2015), (Szegedy et al., 2014), (Madry et al.,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.318029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.167857Z digest=sha256:dcbd8c80e163a86a55c25cf338cb7a5e73a1286500f57a83cad52a825380e480

Observation 0000badf-30a1-465a-a769-f02347366b80 · outbound

This paper cites teacher” model on the input data, following which the output probabilities are learned by a “student.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems teacher” model on the input data, following which the output probabilities are learned by a “student

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.299361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.174934Z digest=sha256:3ae573de803c21d364eacdb0f74a0b3cb158fd6c9831696beed101028cad6106

Observation 9e4382ea-1482-4533-9b39-100b16daeb28 · outbound

This paper cites Other forms of regularization are also explored in (Zhong and Deng, 2019), (Qin et al., 2019).

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Other forms of regularization are also explored in (Zhong and Deng, 2019), (Qin et al., 2019)

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.282256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.180980Z digest=sha256:1c86d763f6c116696dc9a5b9d576e2a3876b9595b06d064d893f4ba65375452e

Observation bb7e213d-4447-460d-b976-5eecb9a0441d · outbound

This paper cites An alternative approach to adversarial robustness is ensuring that the internal representations and feature maps of the model are modified to be resilient to perturbations.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems An alternative approach to adversarial robustness is ensuring that the internal representations and feature maps of the model are modified to be resilient to perturbations

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.263293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.187870Z digest=sha256:a255c9a9f7b57fdf3f0cec12ae254db1ee2a062cac11b50864795c0cc3013e96

Observation d5483159-6bfe-4c73-acd3-1f1a2175e6a0 · outbound

This paper cites doi:10.1016/0167-2789(92)90242-F.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1016/0167-2789(92)90242-F

Reference 1992

Resolution
unresolved
no resolver link, observed 2026-08-06T19:36:04.023409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:04.023409Z digest=sha256:70219c8cfb7b5139c1a18625599dde8d8453f2ca22092c2f4e6d9edb89116ba9

Observation 800679ac-01f9-49e3-b8d3-ba55f7396d1d · outbound

This paper cites doi:10.1007/s11045-007-0023-2.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1007/s11045-007-0023-2

Reference 2007

Resolution
verified exact
doi, observed 2026-08-06T19:36:04.266999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.067551Z digest=sha256:50d7e4e7140495c1bf9e7f7f031f36adac2a8cb6dd73bf56e908da330c6e250d

Observation 8ce05ea7-f0df-4c8c-9bea-59873c448b44 · outbound

This paper cites Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.480568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:04.049792Z digest=sha256:eb8464fc89ec033339300adc26de3e0d3572eb2049581497db2b4af5e213daf7

Observation c925f9fd-9b87-476c-ae1d-23063bdf523e · outbound

This paper cites ISBN 978-1-4799-5524-4 978-1-4799- 5526-8.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems ISBN 978-1-4799-5524-4 978-1-4799- 5526-8

Reference 2015

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unresolved
no resolver link, observed 2026-08-06T19:36:04.061812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:04.061812Z digest=sha256:6af5777a8153adfbd4a88bf751e40921fa3fa188d53c8a87637e9ff547cf6fb6

Observation 49103c44-9d1c-49d3-8a45-d16884a58823 · outbound

This paper cites Gourab Naskar, Sk Mohiuddin, Samir Malakar, Erik Cuevas, and Ram Sarkar.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Gourab Naskar, Sk Mohiuddin, Samir Malakar, Erik Cuevas, and Ram Sarkar

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-06T19:36:03.976026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:03.976026Z digest=sha256:88350672d9c284b615a2007dd3bf92c17176e11fcf2da86a13aa5ebaa4bd3d73

Observation f2f35083-4e46-4295-b4bc-980529818dce · outbound

This paper cites DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.520474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.969192Z digest=sha256:7195a4d124abc4ce823f12a780b628e666e23f219f9b28319059d8fe6ec2e00d

Observation 19e1d36c-10e2-4955-856c-5864e0e0d5e0 · outbound

This paper cites doi:10.1109/LSP.2018.2815003.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1109/LSP.2018.2815003

Reference 2018

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:36:06.699478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.811048Z digest=sha256:f2c7c30e0096fdf168eb5c2bb7b4cf3a34bedea819394ef22bd5d17401d68ae5

Observation cce11f69-75bd-4258-b891-801378c5df2e · outbound

This paper cites URL https://www.science.org/doi/abs/10.1126/scirobotics.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems URL https://www.science.org/doi/abs/10.1126/scirobotics

Reference 2019

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unresolved
no resolver link, observed 2026-08-06T19:36:03.851040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:03.851040Z digest=sha256:7c5652144082b7905261fe182ca232217b4ffd2d0f0f59631b515c72ce89a8d6

Observation 051eb16b-033f-4319-a63f-b3215c350b30 · outbound

This paper cites doi:10.1109/ACCESS.2020.3007337.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1109/ACCESS.2020.3007337

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T19:36:03.792931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:03.792931Z digest=sha256:4b53ab3383553314a8069419e2fdd3bc00e7c464a73ab424ca765158f601f6c7

Observation b87f7f2d-2647-48de-97d3-d20a1280a89e · outbound

This paper cites doi:10.1109/ACCESS.2021.3127960.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.1109/ACCESS.2021.3127960

Reference 2021

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:36:07.003131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.787101Z digest=sha256:13303f9839fe233b1f75b038cae1ced2e03654202d0b3d68646ab560a6b9e00f

Observation c518b24c-44ca-4270-8128-d4ae26b61a66 · outbound

This paper cites doi:10.32604/iasc.2023.029653.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems doi:10.32604/iasc.2023.029653

Reference 2022

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:36:07.217448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.770412Z digest=sha256:9de926aa61c114d9727d198ec93923546fa9859d986a0b3cede1b5eb2f247a5c

Observation 8a1f30fc-c849-4f74-ab29-b8345bd0303d · outbound

This paper cites Ensemble Model of Lanczos and Bicubic Interpolation with Neural Network and Resampling for Image Enhancement.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Ensemble Model of Lanczos and Bicubic Interpolation with Neural Network and Resampling for Image Enhancement

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.650763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.799505Z digest=sha256:926798e3d20749851aadea8a7beae40d4b544184f68aadbea72c242fcecbb822

Observation b6e6125a-9cbe-4aeb-b759-c9530ea8d4fe · outbound

This paper cites Exploring the Impact of Real and Synthetic Data in Image Classification: A Comprehensive Investigation Using CIFAKE Dataset.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Exploring the Impact of Real and Synthetic Data in Image Classification: A Comprehensive Investigation Using CIFAKE Dataset

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:36:07.674603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.776794Z digest=sha256:f3caf0eafd239b5c747b8e12abad6312da4ff101423f217377449c82127d2770

Observation bd25e885-b2d1-4261-9b99-1c94539eaee0 · outbound

This paper cites Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization.

VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:36:06.210868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:36:03.871979Z digest=sha256:ded66400988d307c7684f3aaf5e17c169850fdf96594043d791d9dc3b6faaccf

Pith citing papers

No inbound Pith citation observations are available.