When Optimization Becomes Manipulation: Defending Generative Search against Malicious Generative Engine Optimization
arXiv 2609.02964v1•531342e0f5107b79c7613f7ff5b6d57c422721aea4a2414ddb2d7fb93357fc2b
Paper metadata
- arXiv ID
- 2609.02964
- Version
- v1
- Category
- cs.AI, cs.CR
- Authors
- Haozhang Li, Yangguang Shao, Xinjie Lin, Zhong Guan, Mi Zhou, Junzheng Shi
- Publication date
- 2026-09-04T04:00:00Z
- Source identifier
- 2609.02964v1
- Public record ID
- record:sha256:531342e0f5107b79c7613f7ff5b6d57c422721aea4a2414ddb2d7fb93357fc2b
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
This is source-provided metadata, not an enriched summary or an impact assessment. Follow the canonical source link for the published material.
Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 531342e0f5107b79c7613f7ff5b6d57c422721aea4a2414ddb2d7fb93357fc2b
- Record type
- Source metadata
This record may overlap with other records. Source metadata can be incomplete or change. Validate consequential decisions against the linked source and your own environment.