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Paper Citation Record · LEDGER

SAGA: Source Attribution of Generative AI Videos

As of 5 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2511.12834.

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

pith.paper-citation-record.v1
2511.12834 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T21:32:27.864564Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T08:00:21.829807Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T08:01:15.622564Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact14
  • verified fuzzy46
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 095a9878-51a8-479f-af30-3aba17e5370f · outbound

This paper cites Getting vit in shape: Scaling laws for compute- optimal model design.Advances in Neural Information Process- ing Systems, 36.

SAGA: Source Attribution of Generative AI Videos Getting vit in shape: Scaling laws for compute- optimal model design.Advances in Neural Information Process- ing Systems, 36

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.993969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e5821635-f03a-47b4-b5c1-1fafd8e71ba9 · outbound

This paper cites Deepfake Media Forensics: State of the Art and Challenges Ahead.

SAGA: Source Attribution of Generative AI Videos Deepfake Media Forensics: State of the Art and Challenges Ahead

Reference 2

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arxiv_id, observed 2026-05-17T21:35:17.878684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a95683d9-3938-4b24-b5bd-0165941dd9bf · outbound

This paper cites Vivit: A video vision trans- former.

SAGA: Source Attribution of Generative AI Videos Vivit: A video vision trans- former

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:7e344f92887a4b0199ffb7917ff5e0347c38e9d76a6db8558d77dc057c5797a3

Observation e6ababd0-6473-4023-a125-01948b1efd2b · outbound

This paper cites Ai-generated content: authorship and inventorship in the age of artificial in- telligence.

SAGA: Source Attribution of Generative AI Videos Ai-generated content: authorship and inventorship in the age of artificial in- telligence

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.944933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:d5adf9eb6d4d5ce2c2ce1edea1bfe068a768631687f8ce35f8b99d70a709cc94

Observation 271f8e6f-9466-4bd4-9227-b06cd3b06635 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

SAGA: Source Attribution of Generative AI Videos Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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verified exact
local_arxiv, observed 2026-05-17T21:35:17.907680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:327addb0275dc4e201d13a48ebcbe4127c8cba0f19a856397ca711357b06b875

Observation bcca45c0-9913-41bf-a8f5-44f00078597d · outbound

This paper cites Featuretransfer: Unsupervised domain adaptation for cross-domain deepfake detection.Security and Communication Networks, 2021(1):9942754.

SAGA: Source Attribution of Generative AI Videos Featuretransfer: Unsupervised domain adaptation for cross-domain deepfake detection.Security and Communication Networks, 2021(1):9942754

Reference 6

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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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:96b58def8e714c7d8e2bc837024ff0a5d45b1bc14bbcd02d295e437818bc2ede

Observation 0b8c05a9-13fa-4f69-a137-3686a01f231d · outbound

This paper cites DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.

SAGA: Source Attribution of Generative AI Videos DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Reference 7

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arxiv_id, observed 2026-05-17T21:35:17.873701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:e355eaa3eb9b38d8ce55ec5db44f49a7f2594ba761a648c5f0c64eb90efc63b3

Observation 34002c03-b6d0-43f5-98ca-8e3c8584d882 · outbound

This paper cites FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos.

SAGA: Source Attribution of Generative AI Videos FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos

Reference 8

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arxiv_id, observed 2026-05-17T21:35:17.843528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:a55b0fd0b0df5adaf4074932c1f8d0d8adec6fea77641dd5899449d88947e20b

Observation 980caa96-b5dc-438b-a0d3-519b6b4467c3 · outbound

This paper cites Seine: Short-to-long video diffusion model for generative transition and prediction.

SAGA: Source Attribution of Generative AI Videos Seine: Short-to-long video diffusion model for generative transition and prediction

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:7fcd9ec309f7abe101a10acc3da26de93714e1b41c8748ec2976e7e6691eb32d

Observation 3a7abbdc-409c-40fe-9358-49e634a41165 · outbound

This paper cites Can We Leave Deepfake Data Behind in Training Deepfake Detector?.

SAGA: Source Attribution of Generative AI Videos Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Reference 10

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arxiv_id, observed 2026-05-17T21:35:17.853806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:0110b4134edd4c980a8a2775ea891f53e2f342c7f55fd6fc05ad126f6b64e053

Observation 57f6ce19-e5f3-4754-a63c-39ea770361d0 · outbound

This paper cites Intriguing properties of synthetic images: from generative adversarial networks to diffusion models.

SAGA: Source Attribution of Generative AI Videos Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Reference 11

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raw_fallback, observed 2026-05-17T21:35:18.902975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:dc6a1fe9048abc03ef01dbbea6a9969fd9e6b3bfe6d393ffd875156710e28b26

Observation b60ccb3f-9f0d-4e89-a287-f1997622e88f · outbound

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

SAGA: Source Attribution of Generative AI Videos On the detection of synthetic images generated by diffusion models

Reference 12

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raw_fallback, observed 2026-05-17T21:35:18.892040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:0d7df514bd47407426f061820aef4fd96ecec2ab0bce0854627701be20d59bec

Observation a9beabb4-1880-46b9-b85b-b184bf738d4c · outbound

This paper cites Raising the bar of ai-generated image detection with clip.

SAGA: Source Attribution of Generative AI Videos Raising the bar of ai-generated image detection with clip

Reference 13

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raw_fallback, observed 2026-05-17T21:35:18.877269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:2f22a8dc7d73c17f9cbd5a3b65d1215a74041caf32b61a3bbd7aedf09f44440a

Observation 18b9af0b-c611-4870-b4ed-8fb2a9006507 · outbound

This paper cites Open Set Synthetic Image Source Attribution.

SAGA: Source Attribution of Generative AI Videos Open Set Synthetic Image Source Attribution

Reference 14

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verified exact
arxiv_id, observed 2026-05-17T21:35:17.848328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:e7631af8b1ff4fe852b7764bb0fb50a4f4f8251a23a63f934b080a61f08dedd4

Observation 027f1f71-532a-47be-b2d9-707e5395a651 · outbound

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

SAGA: Source Attribution of Generative AI Videos Towards discovery and attribution of open-world gan generated images

Reference 15

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raw_fallback, observed 2026-05-17T21:35:19.033101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:9d4421d2d569f745a986cadf85238a1a90e75861895795fc5e36740c86df10bc

Observation d8c8c46f-103a-41cd-9e1c-ba88dc1c6735 · outbound

This paper cites Spatiotemporal inconsistency learning for deepfake video detection.

SAGA: Source Attribution of Generative AI Videos Spatiotemporal inconsistency learning for deepfake video detection

Reference 16

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raw_fallback, observed 2026-05-17T21:35:19.022023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:d7f90d7a5ae747e74717cbe853ccdf5d170854692c3a64f8fabd926974b8964c

Observation d1829e68-d3a6-4fa4-a377-3452312130d7 · outbound

This paper cites Hierarchical fine-grained image forgery detection and localization.

SAGA: Source Attribution of Generative AI Videos Hierarchical fine-grained image forgery detection and localization

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:b3d280e41ca28c5e353c067dbf62de648d94895baee3e3cf249a11a6846965ab

Observation d69f6657-b574-4c19-b3c1-4c47697301ab · outbound

This paper cites Smart mining for deep metric learning.

SAGA: Source Attribution of Generative AI Videos Smart mining for deep metric learning

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:10d435b8f19ae281c909420619b8247dfc3861575f5f349fa818bf0347cbd6cc

Observation f94580b0-d7ff-435b-a345-78f618b5838c · outbound

This paper cites Gaussian Error Linear Units (GELUs).

SAGA: Source Attribution of Generative AI Videos Gaussian Error Linear Units (GELUs)

Reference 19

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local_arxiv, observed 2026-05-17T21:35:17.888835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:c722ba482a7d80ccba49f5e0e86307a3770a0f95e5010e049465f5f0fb2ba356

Observation f3ea89f6-dbf9-4762-bd57-a05eb1cf7ec0 · outbound

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

SAGA: Source Attribution of Generative AI Videos A style-based genera- tor architecture for generative adversarial networks

Reference 20

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raw_fallback, observed 2026-05-17T21:35:18.984236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:891f4cff49c537d1cb01fd0f81d0a5c3d659f4f41377d8006cfed88f5ce26957

Observation eed351df-b588-439a-9303-3c2be37988cd · outbound

This paper cites Analyzing and improving the image quality of stylegan.

SAGA: Source Attribution of Generative AI Videos Analyzing and improving the image quality of stylegan

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:41ae08eb8c03fb27a01ff8cb52271bb3b13e12c3ea341d7e1f587bc7f661f2ce

Observation 6ffb10f0-e473-4bef-a99a-25e1d6951102 · outbound

This paper cites an unresolved cited work.

SAGA: Source Attribution of Generative AI Videos Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:786a121e74e62be5ffc3ada5338dee77f3665b4540d8f5fbe87e0c577eedd464

Observation 22e7045a-b7bc-4a3b-a6d1-7c02b86f0903 · outbound

This paper cites Pika art.https://pika.art/.

SAGA: Source Attribution of Generative AI Videos Pika art.https://pika.art/

Reference 23

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raw_fallback, observed 2026-05-17T21:35:18.951699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:4e256a6acccfe33db8b7f724a496af99c8ee125cf4a545b2fbd91afef7c1946f

Observation 5c403606-2f81-4c27-9b8a-25708ca47e1f · outbound

This paper cites The Tug-of-War Between Deepfake Generation and Detection.

SAGA: Source Attribution of Generative AI Videos The Tug-of-War Between Deepfake Generation and Detection

Reference 24

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arxiv_id, observed 2026-05-17T21:35:17.902765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:d273e336bf4782c7af1fadfa75e1ac45028d6fbaae8b59d75f276314f35fa381

Observation 0cc59e51-542d-443d-bd76-7eb3fd192b34 · outbound

This paper cites FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models.

SAGA: Source Attribution of Generative AI Videos FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models

Reference 25

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arxiv_id, observed 2026-05-17T21:35:17.863432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:c2a51be876f62a9de1b36bf86c0cce3195d5cc81d07af14629683d7f455941da

Observation 535d9eb8-b4dc-415a-923f-8b2f16c044a1 · outbound

This paper cites OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models.

SAGA: Source Attribution of Generative AI Videos OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-17T21:35:17.868245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:0f099c2a72807ee93873e69fc5c43d6f3bef6830071079bc3998fb046dd2664e

Observation 1472c182-2b30-429b-ab45-d4da697654e4 · outbound

This paper cites Ts2-net: Token shift and selection transformer for text-video retrieval.

SAGA: Source Attribution of Generative AI Videos Ts2-net: Token shift and selection transformer for text-video retrieval

Reference 27

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verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.941783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:0194625694801e232c53fe252a725ea8c3f8b71cd803652f95caab910f251874

Observation f7c8565c-392d-41d8-8ba2-e99de063560a · outbound

This paper cites Domainforensics: Exposing face forgery across domains via bi-directional adaptation.IEEE Trans- actions on Information F orensics and Security.

SAGA: Source Attribution of Generative AI Videos Domainforensics: Exposing face forgery across domains via bi-directional adaptation.IEEE Trans- actions on Information F orensics and Security

Reference 28

Resolution
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raw_fallback, observed 2026-05-17T21:35:18.938846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:444a01d81dbeae94b2dc3f5368be09dae0f773456d14f17e211b36eb270328a8

Observation 873df3f5-568b-4ea9-bcfa-78f77559662d · outbound

This paper cites Hotshot- xl.

SAGA: Source Attribution of Generative AI Videos Hotshot- xl

Reference 29

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raw_fallback, observed 2026-05-17T21:35:18.932267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:9be3f57310516f665cb41d45c85caadff8c24ea3d9f7ffd515e63511dad3a5ee

Observation f784735b-b1d9-430a-b4bc-258320498623 · outbound

This paper cites Towards universal fake image detectors that generalize across generative models.

SAGA: Source Attribution of Generative AI Videos Towards universal fake image detectors that generalize across generative models

Reference 30

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raw_fallback, observed 2026-05-17T21:35:18.929704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:aed48807dc6f2e24d623d4c7a8d9d2e1b850dfb8fbc784a8d8529af1c977e2e1

Observation f904e9e8-7216-4091-b6b5-deaf02fa2a3c · outbound

This paper cites Sora by openai.https://openai.com/sora/.

SAGA: Source Attribution of Generative AI Videos Sora by openai.https://openai.com/sora/

Reference 31

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raw_fallback, observed 2026-05-17T21:35:18.926482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:6cea9aa5e31bde32787a680ca79ce2f22fba24555285fb811ec89f62f121fb3c

Observation bc356f22-424b-4338-98bb-d71488054ccc · outbound

This paper cites XAI-Based Detection of Adversarial Attacks on Deepfake Detectors.

SAGA: Source Attribution of Generative AI Videos XAI-Based Detection of Adversarial Attacks on Deepfake Detectors

Reference 32

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arxiv_id, observed 2026-05-17T21:35:17.884135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:b79a0e22abe4f61f28972ffc997956a7c6eaeb5950cf333afbd567d4914ef84b

Observation 22dd733f-28ae-414d-92a6-010c7ca66ef9 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

SAGA: Source Attribution of Generative AI Videos SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 33

Resolution
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local_arxiv, observed 2026-05-17T21:35:17.893572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:16d47b77e4b3cbc2c8cbe893fb774a36f38f56e019f0b192cf2054c55c806749

Observation 3fda21af-2d57-49c3-b8a0-e5aacfd74629 · outbound

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

SAGA: Source Attribution of Generative AI Videos Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 34

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verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.923577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:aed3e0ecba211f95af24c25515b36e03d11533aa5bff8800c9d5d0a6b84a7736

Observation e4405d46-7696-4019-a142-901d99480053 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

SAGA: Source Attribution of Generative AI Videos Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-17T21:35:17.858098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:66d501a5849dbefa7a0d5dfee6c371ca82ecd3a5dac81b1ab9e80144e2fc04db

Observation cd12ffb7-9b20-48ec-8725-f081cdf80b14 · outbound

This paper cites Ai-generated video purports to show apocalyptic scenes of los angeles wildfires.

SAGA: Source Attribution of Generative AI Videos Ai-generated video purports to show apocalyptic scenes of los angeles wildfires

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.917057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:3405ae5fb0c744a6ee23301d83185613f1499e7da907ed69bf2d3b7d9a611a66

Observation 7a04d2e9-170f-474d-8ff2-30f777a689ab · outbound

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

SAGA: Source Attribution of Generative AI Videos High-resolution image synthesis with latent diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.909961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:c37e5ef2ca856a692b2ba97702b4c8d31b0374fd69cd4efa7f1c1c3a6153d69d

Observation 2851353c-a48d-4b64-814e-1fb9d67372ad · outbound

This paper cites Photore- alistic text-to-image diffusion models with deep language under- standing.Advances in neural information processing systems, 35: 36479–36494.

SAGA: Source Attribution of Generative AI Videos Photore- alistic text-to-image diffusion models with deep language under- standing.Advances in neural information processing systems, 35: 36479–36494

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.906714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:5fcf5bbae38d882d18230561b003431b9d7162b9730430a1fdd1e27a3f76ed52

Observation e5673177-1fb8-4184-9d09-96ee94f319a3 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

SAGA: Source Attribution of Generative AI Videos Facenet: A unified embedding for face recognition and clustering

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.899186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:22a07728bf75d1c99f512eb182a7100aa7ed9b7a646d683e4db88ea0caebeb28

Observation 6838dc28-c24b-46ed-8385-ac824737a3df · outbound

This paper cites De-fake: Detection and attribution of fake images generated by text-to- image generation models.

SAGA: Source Attribution of Generative AI Videos De-fake: Detection and attribution of fake images generated by text-to- image generation models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.895749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:73f3941d25fb2926859f0fbff7ed9162bbd592ec8983599fe12de3d7f12b2932

Observation 03599bb2-15ab-486e-9045-91b8bda322f7 · outbound

This paper cites Generative ai and intellectual property rights.

SAGA: Source Attribution of Generative AI Videos Generative ai and intellectual property rights

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.887901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:a48b5c277ef803f85152c2989cddde39d34b9ca80751f11842b9202fca50b8a7

Observation a5d93e31-8e06-4222-9d49-adddab102cb5 · outbound

This paper cites On learning multi-modal forgery representation for diffusion generated video detection.The Thirty-eighth Annual Conference on Neural Infor- mation Processing Systems.

SAGA: Source Attribution of Generative AI Videos On learning multi-modal forgery representation for diffusion generated video detection.The Thirty-eighth Annual Conference on Neural Infor- mation Processing Systems

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.884027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:e487bac49ad80951eb37a465b12644fccc4ee2e003ce37d5683b68b1ff741f2c

Observation c996d22d-5ec1-4138-ad19-2af4c922bcb8 · outbound

This paper cites Morph studio.

SAGA: Source Attribution of Generative AI Videos Morph studio

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.880234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:fa0305ba6d046a03ee59086d675e0f8e7468bbf27bbcf73227efee32a5fe684b

Observation 5175f603-c200-4365-b9ac-20ffca064b16 · outbound

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

SAGA: Source Attribution of Generative AI Videos Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detec- tion

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.913789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:43b3b61789c64731c0140bd4990cdb6fadb9414f7bd761381438e938777bffe9

Observation 24c7610e-e4cc-41ae-b426-734b9656db11 · outbound

This paper cites C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection.

SAGA: Source Attribution of Generative AI Videos C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.874309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:215549a4dc9de41844d8d8ed2eb2d56e2f63e82aa1e894a1b419664d4eea4fa6

Observation 5683be06-77a1-4b6b-a3fd-016eee136eb3 · outbound

This paper cites Beyond deepfake images: Detecting ai- generated videos.

SAGA: Source Attribution of Generative AI Videos Beyond deepfake images: Detecting ai- generated videos

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:19.029566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:fc1d70b10141e24c86a64697bee74512c80bced513eda63a04cfc2592c7f8b69

Observation 4d6fa256-a226-4718-8197-f58d6628c292 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11).

SAGA: Source Attribution of Generative AI Videos Visualizing data using t-sne.Journal of machine learning research, 9(11)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:19.025973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:d8dd1dc8eb11c8e6a2f0e93270d115f56da74bdbd3c1d52d2268cf5d78dc4f04

Observation 1c2222f8-ed25-4298-9bc7-7ef74dac9aa8 · outbound

This paper cites Attention is all you need.NeurIPS.

SAGA: Source Attribution of Generative AI Videos Attention is all you need.NeurIPS

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:19.018611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:c4abb6b6bde3fd2324bd8aa5a80773e85f6e8ec3e95f7769d0f2293184fb588b

Observation 02896e1b-c880-48af-8348-736089137ac4 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

SAGA: Source Attribution of Generative AI Videos ModelScope Text-to-Video Technical Report

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-17T21:35:17.897876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:6d71a56a3d5f59465c5e0ab7fef67b68b2d24fa7912195ca6fcf3b82d0806a98

Observation d58a2908-b861-490a-b9cb-818e74938e98 · outbound

This paper cites Cnn-generated images are surprisingly easy to spot.

SAGA: Source Attribution of Generative AI Videos Cnn-generated images are surprisingly easy to spot

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:19.012348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:72ee7a25c45139d66f997295cff440792513325372059e1f6e7ab26074d44004

Observation 01e5c648-33e2-4440-955b-aa17d49633a7 · outbound

This paper cites Dire for diffusion- generated image detection.

SAGA: Source Attribution of Generative AI Videos Dire for diffusion- generated image detection

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:19.008642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:08a9c5901ae5b13f3bbafaa5ac5b3805e15338248aa9fccdfa14b8c6d16d799c

Observation 503cd6dd-8d56-48ea-8a2b-f85b424d9deb · outbound

This paper cites Where did i come from? origin attribution of ai-generated images.Advances in neural information processing systems, 36: 74478–74500.

SAGA: Source Attribution of Generative AI Videos Where did i come from? origin attribution of ai-generated images.Advances in neural information processing systems, 36: 74478–74500

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:19.000976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:29b14ec10775a9b2193775c0b62d3aff9c4a4fbd14575735f3a6b9b9de3d95ec

Observation 782d9f90-5e35-402d-b96c-444e2105abcf · outbound

This paper cites Dynamicrafter: Animating open-domain im- ages with video diffusion priors.

SAGA: Source Attribution of Generative AI Videos Dynamicrafter: Animating open-domain im- ages with video diffusion priors

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.990632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:0ec7deec82c63983a695812905de1d984e6a071f72369a7d5a91fdc2789d2bb8

Observation a599dd12-c707-45b8-999e-cfce1a1fd53b · outbound

This paper cites Tall: Thumbnail layout for deepfake video detection.

SAGA: Source Attribution of Generative AI Videos Tall: Thumbnail layout for deepfake video detection

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.987341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:9ae5e6eb3f97c4c2c780b6b396464e484677f34255fac7047ece9d32a4c57f46

Observation e97e7be1-32a5-4ccc-b01b-3304e069bc34 · outbound

This paper cites Improved em- beddings with easy positive triplet mining.

SAGA: Source Attribution of Generative AI Videos Improved em- beddings with easy positive triplet mining

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.980686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:ed76a603327b453ca6f759dc6685c5107977889e30ee77ca124967bbdf5ae03f

Observation 1a7ae378-4c09-4c40-80cb-cc6a359f8966 · outbound

This paper cites Deepfake network architecture attribution.

SAGA: Source Attribution of Generative AI Videos Deepfake network architecture attribution

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.977249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:1aa2783059054fcc4c8862016468ea3041f544aa01dd6e0e603388f99bd30389

Observation ef5957a4-ce2b-4a03-a6a3-b80895adb486 · outbound

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

SAGA: Source Attribution of Generative AI Videos Progressive open space expansion for open-set model attribution

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.970151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:40a792ece8747141fc1ef3a1a8372e132db9fc7a4a15212a9eb9f6a1cccdd77e

Observation 1a9c0a4f-01c7-45f3-aa58-8f967fde98df · outbound

This paper cites Show-1: Marrying pixel and latent diffusion models for text- to-video generation.International Journal of Computer V ision, pages 1–15.

SAGA: Source Attribution of Generative AI Videos Show-1: Marrying pixel and latent diffusion models for text- to-video generation.International Journal of Computer V ision, pages 1–15

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.966123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:9af9e9b47f49f83d47fa70a92b979850f6604409802e48c5a2c4295c13be1ac9

Observation 202f6310-3ab7-4ec2-bd0d-b10495a2bfbc · outbound

This paper cites Open-sora: Democratizing efficient video production for all.

SAGA: Source Attribution of Generative AI Videos Open-sora: Democratizing efficient video production for all

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.960428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:223c0198b4c8bbfec2237b35c15fbadb68bbca4d76bd57151d7536516b5b6df3

Observation 6332b8c0-6f1c-448d-9ba5-eed51e6cca96 · outbound

This paper cites Adversarial attacks and defenses in deep learning: From a perspective of cybersecurity.ACM Computing Surveys, 55(8):1–39.

SAGA: Source Attribution of Generative AI Videos Adversarial attacks and defenses in deep learning: From a perspective of cybersecurity.ACM Computing Surveys, 55(8):1–39

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.957324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:e057c40777e5baefa5677377a4f02d8ec42e45d7d56d8191b6fef987299794ba

Observation 0f754436-35bf-4934-83fc-4ebf52a4df66 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent ad- versarial networks.

SAGA: Source Attribution of Generative AI Videos Unpaired image-to-image translation using cycle-consistent ad- versarial networks

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T21:35:18.948293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T21:32:27.864564Z digest=sha256:45688f20d167cf2bae5103e88eb8175fc5c0b951176382091e9d2bc75a75fca0

Pith citing papers

Observation 04a48b4d-6de6-4578-adae-9451c291d19c · inbound

Who Generated This 3D Asset? Learning Source Attribution for Generative 3D Models cites this paper.

Who Generated This 3D Asset? Learning Source Attribution for Generative 3D Models SAGA: Source Attribution of Generative AI Videos

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:58:15.312406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T11:54:47.407033Z digest=sha256:2b456289f9d17861a7b68e88ca40f95aa02a70716e8d12a13c7bf04c49a53917

Observation 00f8fcdc-711a-4ac3-8217-08fdeccf442d · inbound

Video as Natural Augmentation: Towards Unified AI-Generated Image and Video Detection cites this paper.

Video as Natural Augmentation: Towards Unified AI-Generated Image and Video Detection SAGA: Source Attribution of Generative AI Videos

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:01:15.625853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-22T08:00:21.829807Z digest=sha256:f00ef8685282e7ba5cb93ddb698580764a3d2aca2d9c4bf22ccf3e1c17c0161c