A memory-centric architecture is envisioned for 6G networks to create a cognitive continuum where AI agents access multi-timescale state via zero-copy observability instead of message passing.
Scalable processing-near-memory for 1M-token LLM inference: CXL-enabled KV-cache management beyond GPU limits
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
A memory-centric architecture is envisioned for 6G networks to create a cognitive continuum where AI agents access multi-timescale state via zero-copy observability instead of message passing.