SA260324R-0293
① SA Source
- Source: 開啟完整 SA 文章
- Section: “
- Line hint:
374
Context Before
Evidence
KV cache grows linearly with input sequence length and number of users and is the primary tradeoff when it comes to prefill performance (§3§).
Context After
② Atomic Claim
KV cache 會隨輸入 sequence length 與 user 數量線性成長,並成為 prefill performance 的主要 tradeoff。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"frame_type": "NARY_RELATION",
"participants": [
{
"node": {
"id": "04_knowledge_base/KV cache",
"label": "KV cache"
},
"role": "cache"
},
{
"node": {
"id": "04_knowledge_base/Sequence length",
"label": "sequence length"
},
"role": "scaling_variable"
},
{
"node": {
"id": "04_knowledge_base/Prefill",
"label": "prefill"
},
"role": "performance_context"
}
],
"qualifiers": {
"condition_text": "KV cache also scales linearly with number of users",
"numeric_mentions": [],
"temporal_mentions": []
},
"relation_type": "KV_CACHE_SCALING_AND_PREFILL_TRADEOFF"
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| cache | KV cache | 04_knowledge_base/KV cache |
| scaling_variable | sequence length | 04_knowledge_base/Sequence length |
| performance_context | prefill | Prefill |
⑤ Human Review
請在 Properties 逐項確認:
- 原文 → Atomic Claim 是否忠實
- Atomic Claim → Semantic Frame 是否忠實
- Canonical Entity mapping 是否正確
- Epistemic mode 是否保留原文語氣
- 最後選擇
review_action
Review state
Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。