SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic Search

2026-07-30T08:52:09Z06ced207cf36f3957fde9dce639e262a4ea3070fb891eb6d6aa424e8a7ce83d0
agentic-searchartificial-intelligencedocument-processingenterprise-ailarge-language-modelsmachine-learningmemory-benchmarksrecommendation-systemsreproducibilityresearchretrieval-augmented-generation

What happened

A collection of arXiv research announcements covering reproducible agentic search environments, semantic steering for retrieval-augmented generation, long-term memory evaluation for BIM agents, industrial next-POI recommendation, recommender-system reproducibility, autonomous document-processing pipeline optimization, dependency-consistent RAG answer caching, large-scale item embeddings, continuous recommendation evaluation, and transport-optimized recommendation reranking. The material is research-oriented and does not describe vulnerabilities, exploits, or active threats.

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ir
Record identifier
06ced207cf36f3957fde9dce639e262a4ea3070fb891eb6d6aa424e8a7ce83d0
Enrichment time
2026-07-30T08:52:09Z
AI-assisted enrichment
Yes

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