Saga: Source Attribution of Generative AI Videos (identifies the model used)
Computer Science > Computer Vision and Pattern Recognition arXiv:2511.12834 (cs) [Submitted on 16 Nov 2025 (v1), last revised 2 Apr 2026 (this version, v2)] Title:SAGA: Source Attribution of Generative AI Videos Authors:Rohit Kundu, Vishal Mohanty, Hao Xiong, Shan Jia, Athula Balachandran, Amit K. Roy-Chowdhury View a PDF of the paper titled SAGA: Source Attribution of Generative AI Videos, by Rohit Kundu and 5 other authors View PDF HTML (experimental) Abstract:The proliferation of generative AI has led to hyper-realistic synthetic videos, escalating misuse risks and outstripping binary real/fake detectors. We introduce SAGA (Source Attribution of Generative AI videos), the first comprehensive framework to address the urgent need for AI-generated video source attribution at a large scale.
- ▪Computer Science > Computer Vision and Pattern Recognition arXiv:2511.12834 (cs) [Submitted on 16 Nov 2025 (v1), last revised 2 Apr 2026 (this version, v2)] Title:SAGA: Source Attribution of Generative AI Videos Authors:Rohit Kundu, Vishal
- ▪Roy-Chowdhury View a PDF of the paper titled SAGA: Source Attribution of Generative AI Videos, by Rohit Kundu and 5 other authors View PDF HTML (experimental) Abstract:The proliferation of generative AI has led to hyper-realistic synthetic
- ▪We introduce SAGA (Source Attribution of Generative AI videos), the first comprehensive framework to address the urgent need for AI-generated video source attribution at a large scale.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,270 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2511.12834 |
| Publication time | Sat, 25 Jul 2026 11:41:38 +0000 |
| Retrieval time | 2026-07-25T11:52:10.602Z |
| Last seen | 2026-07-25T11:52:10.602Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | n37uUoXABq_o |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Computer Vision and Pattern Recognition arXiv:2511.12834 (cs) [Submitted on 16 Nov 2025 (v1), last revised 2 Apr 2026 (this version, v2)] Title:SAGA: Source Attribution of Generative AI Videos Authors:Rohit Kundu, Vishal Mohanty, Hao Xiong, Shan Jia, Athula Balachandran, Amit K. Roy-Chowdhury View a PDF of the paper titled SAGA: Source Attribution of Generative AI Videos, by Rohit Kundu and 5 other authors View PDF HTML (experimental) Abstract:The proliferation of generative AI has led to hyper-realistic synthetic videos, escalating misuse risks and outstripping binary real/fake detectors.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
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