KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs explores A recomputation-free KV caching framework for LLMs that uses trainable adapters to significantly reduce inference latency and computational overhead.. Commercial viability score: 7/10 in LLM Inference Optimization.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/kv-packet-recomputation-free-context-independent-kv-caching-for-llms
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID kv-packet-recomputation-free-context-independent-kv-caching-for-llms | Route /paper/kv-packet-recomputation-free-context-independent-kv-caching-for-llms
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/kv-packet-recomputation-free-context-independent-kv-caching-for-llmsMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.13226"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs",
"normalized_query": "2604.13226",
"route": "/paper/kv-packet-recomputation-free-context-independent-kv-caching-for-llms",
"paper_ref": "kv-packet-recomputation-free-context-independent-kv-caching-for-llms",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 7.0
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