SA260324R-0107

① SA Source

Context Before

Evidence

As state-of-the-art mixture-of-expert (§1§) models grow increasingly sparse, tokens can choose experts from a larger expert pool.

Context After

② Atomic Claim

隨著 state-of-the-art Mixture-of-Experts 模型變得愈來愈 sparse,token 可以從更大的 expert pool 中選擇 expert。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "SPARSITY_AND_EXPERT_POOL",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/Mixture of Experts",
    "label": "Mixture-of-Experts"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": "state-of-the-art models",
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "模型愈來愈 sparse,使 token 可以從更大的 expert pool 中選擇 expert。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityMixture-of-Experts04_knowledge_base/Mixture of Experts

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。