arXiv (All)
open access
Storage-Scalable Progressive Semantic Communication via Knowledge-Base Reuse
Existing knowledge-base-assisted semantic communication schemes commonly adopt either single knowledge-base quantization (SKBQ) or multi-knowledge-base residual quantization (MKBQ). SKBQ incurs limited storage overhead but has restricted quantization capacity, whereas MKBQ supports progressive refin
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ALOE: Semantically Addressed Low-Rank Operators for Knowledge Editing#1077198
- Pattern Over-Generalization of Knowledge Graph Embedding#926403
- Biquaternionic Space with Complex-valued Attention for Temporal Knowledge Graph Completion#1083734
- Efficient Dense Vector Search within Knowledge Graph Content Embeddings#1050419
- Efficient Dense Vector Search within Knowledge Graph Content Embeddings#1028790
Record · ID 997026
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive