Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:04.187870Z
Paper Citation Record · LEDGER
VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems
As of 11 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.762279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.781973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- 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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.822490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-11T06:34:44.6726+00:00.
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
- doi, observed 2026-08-06T19:36:04.532492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.840128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:36:07.615190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.865929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:36:07.596627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.883930Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:36:06.096109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T19:36:06.070887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:36:07.578122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.922555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:36:07.559055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.936401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:36:07.541065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- verified exact
- raw_fallback, observed 2026-08-06T19:36:05.785314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- verified exact
- doi, observed 2026-08-06T19:36:04.460701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- verified exact
- doi, observed 2026-08-06T19:36:04.412644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.990130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:36:07.497686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.000491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified exact
- doi, observed 2026-08-06T19:36:04.351825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.014067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.029226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.043497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.056373Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.079421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.084511Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T19:36:04.095002Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- 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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.111714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-11T06:34:44.6726+00:00.
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.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:04.061812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:36:03.851040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
No inbound Pith citation observations are available.