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  3. SAGEO Arena: A Realistic Environment for Evaluating Search-A
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SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization

Fresh4d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization

PDF: https://arxiv.org/pdf/2602.12187v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Paper Conversation

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SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization

Overall score: 5/10
Lineage: b13a48e9f5fb…
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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

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Dimensions overall score 5.0

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Prior Work
SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation
Score 5.0stable
Higher Viability
SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback
Score 7.0up
Higher Viability
Diagnosing and Repairing Citation Failures in Generative Engine Optimization
Score 7.0up
Higher Viability
OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
Score 9.0up
Higher Viability
Controlling Output Rankings in Generative Engines for LLM-based Search
Score 7.0up
Higher Viability
GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
Score 7.0up
Higher Viability
Gen-Searcher: Reinforcing Agentic Search for Image Generation
Score 9.0up
Higher Viability
Aligning Large Language Models with Searcher Preferences
Score 6.0up

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