Learning Counterfactually Decoupled Attention for Open-World Model Attribution | Paper Citation Record

Observation b7fe6abb-8ef1-4622-ac1c-82129fe98235 · outbound

This paper cites com / iperov / DeepFaceLab.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution com / iperov / DeepFaceLab

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:25.967136Z

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.

Observation 56b5d8a7-4f55-42f8-b1ff-e3e6079002b9 · outbound

This paper cites com / deepfakes / faceswap.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution com / deepfakes / faceswap

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:25.724634Z

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.

Observation 357d7c57-74e8-4922-8dd1-10141a3cb1e0 · outbound

This paper cites SiT: Self-supervised vIsion Transformer.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution SiT: Self-supervised vIsion Transformer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:08.112520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf89eee9-c647-4707-b8cd-228964d11dad · outbound

This paper cites Repmix: Represen- tation mixing for robust attribution of synthesized images.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Repmix: Represen- tation mixing for robust attribution of synthesized images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:25.533211Z

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.

Observation 699872ed-2b8d-420f-9a94-855deeab1058 · outbound

This paper cites Open-world semi-supervised learning.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Open-world semi-supervised learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:25.300587Z

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.

Observation a40b012d-a3dc-42f1-9dd6-e82cde7ed44b · outbound

This paper cites Stargan: Unified genera- tive adversarial networks for multi-domain image-to-image translation.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Stargan: Unified genera- tive adversarial networks for multi-domain image-to-image translation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:25.078972Z

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.

Observation 3abaaee8-2a0e-4306-baab-837cca155340 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Xception: Deep learning with depthwise separable convolutions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:24.790552Z

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.

Observation 7576df52-3fc5-475b-8f13-02f768f840c5 · outbound

This paper cites On the detection of digital face manipulation.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution On the detection of digital face manipulation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:24.581443Z

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.

Observation 4d62ace8-dbd2-4b83-9ab1-bdc0d45fcba9 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Arcface: Additive angular margin loss for deep face recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:24.279137Z

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.

Observation 4fff7638-bb5e-48e5-81f8-da09c17a0158 · outbound

This paper cites Reducing network agnostophobia.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Reducing network agnostophobia

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:24.025651Z

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.

Observation 324bfb6c-ecc6-4e6c-b5f0-092208f628fa · outbound

This paper cites Diffusion mod- els beat gans on image synthesis.NeurIPS, 34:8780–8794,.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Diffusion mod- els beat gans on image synthesis.NeurIPS, 34:8780–8794,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:09.008913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702c3de9-9ccc-46d9-8fd8-3e216a4bd29b · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Taming transformers for high-resolution image synthesis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:23.824094Z

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.

Observation 59f8e67c-3d1f-493c-9cd8-43533ecc5319 · outbound

This paper cites Leveraging fre- quency analysis for deep fake image recognition.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Leveraging fre- quency analysis for deep fake image recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:23.604593Z

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.

Observation ed0b32ab-1e40-46a1-8578-0a3997792e12 · outbound

This paper cites Towards discovery and attribution of open-world gan generated images.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Towards discovery and attribution of open-world gan generated images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:23.428098Z

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.

Observation a348685f-2fc9-4de9-8919-59d872e5f8e8 · outbound

This paper cites Generative adversarial nets.NeurIPS, 27,.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Generative adversarial nets.NeurIPS, 27,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:23.190030Z

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.

Observation 17540bf0-dd8f-4493-8372-0e89099fb8bd · outbound

This paper cites On the exploitation of deepfake model recognition.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution On the exploitation of deepfake model recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:22.963863Z

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.

Observation 6c87ac08-e50a-4c54-ae33-f752299a435b · outbound

This paper cites Robust semi-supervised learning when not all classes have labels.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Robust semi-supervised learning when not all classes have labels

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:22.723259Z

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.

Observation 3622f50f-5902-4c29-b130-0c605ecbc1e3 · outbound

This paper cites Automatically discov- ering and learning new visual categories with ranking statis- tics.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Automatically discov- ering and learning new visual categories with ranking statis- tics

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:22.494947Z

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.

Observation 4ccb6dbd-5693-4933-b33f-e370e6771053 · outbound

This paper cites Ghostnet: More features from cheap opera- tions.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Ghostnet: More features from cheap opera- tions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:22.309107Z

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.

Observation 2b684e6d-e0f6-4671-a48e-3be6b57a01d1 · outbound

This paper cites Forgerynet: A versatile benchmark for comprehensive forgery analysis.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Forgerynet: A versatile benchmark for comprehensive forgery analysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:22.211527Z

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.

Observation 235bf9fc-a726-42a3-83dd-37b659382208 · outbound

This paper cites Denoising dif- fusion probabilistic models.NeurIPS, 33:6840–6851, 2020.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Denoising dif- fusion probabilistic models.NeurIPS, 33:6840–6851, 2020

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:22.083784Z

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.

Observation fd0bdffa-9eef-4b9e-843e-fa2650e23c78 · outbound

This paper cites Pfa-gan: Progressive face aging with gen- erative adversarial network.TIFS, 16:2031–2045, 2020.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Pfa-gan: Progressive face aging with gen- erative adversarial network.TIFS, 16:2031–2045, 2020

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:21.931752Z

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.

Observation 169b16f2-f75c-4f9a-bbcc-17661d0f3fca · outbound

This paper cites Sc-fegan: Face editing gen- erative adversarial network with user’s sketch and color.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Sc-fegan: Face editing gen- erative adversarial network with user’s sketch and color

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:21.712644Z

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.

Observation 67b4b3bd-26f0-4479-af02-c1ae61c43e5e · outbound

This paper cites Towards open world object de- tection.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Towards open world object de- tection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:21.582292Z

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.

Observation dda65986-a94c-4515-8121-b11c48c0cfda · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Progressive growing of gans for improved quality, stability, and variation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:10.309416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1732295a-cb28-4293-9841-6283edabd1ad · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution A style-based generator architecture for generative adversarial networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:21.442009Z

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.

Observation 2bd953dd-73f1-4d07-9472-313a04eb5b89 · outbound

This paper cites Decentralized attribution of generative models.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Decentralized attribution of generative models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:21.306793Z

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.

Observation 1f553863-fd92-48e6-8752-5ede495e1ff7 · outbound

This paper cites Auto-encoding varia- tional bayes.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Auto-encoding varia- tional bayes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:10.618413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17fb892f-9343-43da-af59-ef269a45ade8 · outbound

This paper cites The hungarian method for the assignment problem.NRL, 2(1-2):83–97, 1955.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution The hungarian method for the assignment problem.NRL, 2(1-2):83–97, 1955

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:21.137148Z

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.

Observation 168a12f4-b232-4241-9fe7-d621fd2123a2 · outbound

This paper cites Are handcrafted filters helpful for attributing ai-generated images? InACM MM, pages 10698–10706, 2024.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Are handcrafted filters helpful for attributing ai-generated images? InACM MM, pages 10698–10706, 2024

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:20.990432Z

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.

Observation ec3d932f-2d68-438c-938c-2595792a5068 · outbound

This paper cites FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:10.823022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33e643e6-fc2b-49a6-80cc-e5dd14a80d2c · outbound

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

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Face x-ray for more general face forgery detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:20.829917Z

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.

Observation 6096a439-84e0-4d67-b3eb-7272409bf4a9 · outbound

This paper cites Counterfactual intervention feature transfer for visible- infrared person re-identification.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Counterfactual intervention feature transfer for visible- infrared person re-identification

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:20.645029Z

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.

Observation 442400d4-c8ee-4a6c-a909-06db057d2f4b · outbound

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

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Celeb-df: A large-scale challenging dataset for deep- fake forensics

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:20.485249Z

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.

Observation 44ac51a2-69e7-433c-a2b5-9a3df246a305 · outbound

This paper cites Detecting generated images by real images.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Detecting generated images by real images

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:20.339699Z

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.

Observation 265653bd-c668-49cc-a834-000697fda67e · outbound

This paper cites Which model generated this image? a model- agnostic approach for origin attribution.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Which model generated this image? a model- agnostic approach for origin attribution

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:20.170884Z

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.

Observation 0daa1473-bef3-42d9-857b-701a7d67e546 · outbound

This paper cites Residual denoising diffu- sion models.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Residual denoising diffu- sion models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:20.024000Z

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.

Observation 0ae2866c-b28f-4457-b2e1-4b6dd8fcd15e · outbound

This paper cites Discovering causal signals in images.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Discovering causal signals in images

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:19.820450Z

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.

Observation d77b088f-558c-4ff9-b201-a667118b27bb · outbound

This paper cites Do gans leave artificial fingerprints? In MIPR, pages 506–511, 2019.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Do gans leave artificial fingerprints? In MIPR, pages 506–511, 2019

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:19.687450Z

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.

Observation 26eeac3e-cddb-4623-a83b-4b035c13a85a · outbound

This paper cites Causality: models, reasoning, and inference, by judea pearl, cambridge university press, 2000.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Causality: models, reasoning, and inference, by judea pearl, cambridge university press, 2000

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:19.505462Z

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.

Observation 81b0571d-bcfe-4eed-96ca-846458575f84 · outbound

This paper cites FSGAN: Subject agnostic face swapping and reenactment.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution FSGAN: Subject agnostic face swapping and reenactment

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:19.397022Z

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.

Observation 03902edd-4893-420a-b809-1d4430f02be4 · outbound

This paper cites Towards uni- versal fake image detectors that generalize across generative models.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Towards uni- versal fake image detectors that generalize across generative models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:19.254375Z

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.

Observation db6039fe-a3e7-4a60-8b87-c787e75a439e · outbound

This paper cites Basic books, 2018.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Basic books, 2018

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:19.097035Z

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.

Observation 24d3ad6d-83c0-4fe0-bd9c-edc5bde51161 · outbound

This paper cites Scalable diffusion models with transformers.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Scalable diffusion models with transformers

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:18.909961Z

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.

Observation a7dd7439-9e52-4141-99b8-3618a907aed7 · outbound

This paper cites Counterfactual attention learning for fine-grained visual cat- egorization and re-identification.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Counterfactual attention learning for fine-grained visual cat- egorization and re-identification

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:18.750116Z

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.

Observation 8e190531-9752-4dc7-bedf-839c2f95adb4 · outbound

This paper cites Openldn: Learn- ing to discover novel classes for open-world semi-supervised learning.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Openldn: Learn- ing to discover novel classes for open-world semi-supervised learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:18.604721Z

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.

Observation ca04b4b0-bcda-4342-855e-8408d12c3842 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution High-resolution image syn- thesis with latent diffusion models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:12.136547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0864022-47b6-470a-9ccd-8b8147fad6f5 · outbound

This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Faceforen- sics++: Learning to detect manipulated facial images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:18.425616Z

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.

Observation 55413348-8be2-4e28-8dce-a5b37625af67 · outbound

This paper cites Open-world semantic segmen- tation including class similarity.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Open-world semantic segmen- tation including class similarity

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:18.270786Z

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.

Observation 960bb34f-eb6b-4e0b-9daa-4edf93701157 · outbound

This paper cites Learning structured output representation using deep conditional gen- erative models.NeurIPS, 28, 2015.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Learning structured output representation using deep conditional gen- erative models.NeurIPS, 28, 2015

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:18.064461Z

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.

Observation ea1202a9-ecee-41d1-814e-dcb7f2877e72 · outbound

This paper cites Denois- ing diffusion implicit models.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Denois- ing diffusion implicit models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:12.671501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb250c5-80f1-4931-a8e7-88f80542ddcd · outbound

This paper cites Contrastive pseudo learning for open-world deepfake attribution.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Contrastive pseudo learning for open-world deepfake attribution

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:17.937995Z

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.

Observation 59ea4e36-c2fd-4261-8c30-8be590bbc011 · outbound

This paper cites Rethinking open-world deepfake attribution with multi-perspective sensory learning.IJCV, pages 1–24, 2024.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Rethinking open-world deepfake attribution with multi-perspective sensory learning.IJCV, pages 1–24, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:17.731117Z

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.

Observation c938b217-3469-4bf8-9a50-ffabab114419 · outbound

This paper cites Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:17.566950Z

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.

Observation e80b36b7-3a71-4c5a-9c9d-a2657060a51a · outbound

This paper cites Visual autoregressive modeling: Scalable image gen- eration via next-scale prediction.NeurIPS, 37:84839–84865,.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Visual autoregressive modeling: Scalable image gen- eration via next-scale prediction.NeurIPS, 37:84839–84865,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:55:13.149053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552b7148-a6c2-4fdd-a68c-2bbd2cd8e22a · outbound

This paper cites Neural discrete representation learning.NeurIPS, 30, 2017.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Neural discrete representation learning.NeurIPS, 30, 2017

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:17.415606Z

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.

Observation 26e8ac1a-b090-416f-8079-854eb9e4a968 · outbound

This paper cites Visualizing data using t-sne.JMLR, 9(11), 2008.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Visualizing data using t-sne.JMLR, 9(11), 2008

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:17.257153Z

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.

Observation fbebfaa2-ec00-4a38-aa9f-171b0a11f7c6 · outbound

This paper cites Counterfactual cycle-consistent learn- ing for instruction following and generation in vision- language navigation.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Counterfactual cycle-consistent learn- ing for instruction following and generation in vision- language navigation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:17.078694Z

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.

Observation 900e01a2-113b-47fb-939d-d4362dc21be6 · outbound

This paper cites Visual commonsense r-cnn.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Visual commonsense r-cnn

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.940208Z

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.

Observation 8bab137c-1d08-4f7a-95f2-ce462237c184 · outbound

This paper cites Forgerynir: deep face forgery and detec- tion in near-infrared scenario.TIFS, 17:500–515, 2022.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Forgerynir: deep face forgery and detec- tion in near-infrared scenario.TIFS, 17:500–515, 2022

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.848460Z

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.

Observation 1a60cbe8-bc21-4392-a341-5493a1bc9189 · outbound

This paper cites Where did i come from? origin attribution of ai-generated images.NeurIPS, 36:74478–74500, 2023.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Where did i come from? origin attribution of ai-generated images.NeurIPS, 36:74478–74500, 2023

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.740725Z

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.

Observation 16ed33a6-fedd-4692-a208-5bbdac6bc124 · outbound

This paper cites Df40: Toward next- generation deepfake detection.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Df40: Toward next- generation deepfake detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.625404Z

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.

Observation 7ed28e9c-fa3b-45f0-9906-c9647bbef336 · outbound

This paper cites Deepfake network architecture attribution.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Deepfake network architecture attribution

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.476964Z

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.

Observation 23a6dd3f-0bfd-41db-a9bd-f45daf544866 · outbound

This paper cites Progressive open space expan- sion for open-set model attribution.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Progressive open space expan- sion for open-set model attribution

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.322672Z

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.

Observation 2ce0d751-cfa1-4454-9237-cc0d539c062b · outbound

This paper cites Attributing fake images to gans: Learning and analyzing gan fingerprints.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Attributing fake images to gans: Learning and analyzing gan fingerprints

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.172747Z

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.

Observation 6df55b51-aa8d-46ca-9699-1b47a3dc5465 · outbound

This paper cites Artificial fingerprinting for generative models: Root- ing deepfake attribution in training data.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Artificial fingerprinting for generative models: Root- ing deepfake attribution in training data

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:16.007678Z

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.

Observation 486bbc4e-5b23-400e-94ed-a67ec7c030c2 · outbound

This paper cites Responsible disclosure of generative mod- els using scalable fingerprinting.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Responsible disclosure of generative mod- els using scalable fingerprinting

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:15.793022Z

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.

Observation 4dd8794e-93e2-4960-b9a5-bc0e52cc2821 · outbound

This paper cites Counterfactual zero-shot and open-set vi- sual recognition.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Counterfactual zero-shot and open-set vi- sual recognition

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:15.565784Z

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.

Observation 0b9a64ba-fcb7-45de-a8ca-bf61e04d5113 · outbound

This paper cites Multi-attentional deep- fake detection.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Multi-attentional deep- fake detection

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:15.405026Z

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.

Observation 906f820d-1e5e-4e31-b269-269edbdf9da7 · outbound

This paper cites Learning deep features for discrimi- native localization.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Learning deep features for discrimi- native localization

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:15.187063Z

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.

Observation 6285a43a-c464-486b-bf44-e4001fdf06db · outbound

This paper cites Unpaired image-to-image translation using cycle- consistent adversarial networkss.

Learning Counterfactually Decoupled Attention for Open-World Model Attribution Unpaired image-to-image translation using cycle- consistent adversarial networkss

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:55:14.915457Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers