IX2-0191

① SA Source

Context Before

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Evidence

this gives an idea of some cool math you can do with InferenceX data

Context After

The OpenRouter data also shows Nebius AI Studio (Fast) serving DeepSeek FP4 at 167 tok/sec/user at 6/M output tokens. Adjusting the interactivity level in InferenceX accordingly and we see the following data.

image

② Atomic Claim

但這可以示範如何利用 InferenceX 資料進行有價值的 unit-economics 計算。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "ECONOMIC_VIABILITY",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/InferenceX",
    "label": "InferenceX"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "但這可以示範如何利用 InferenceX 資料進行有價值的 unit-economics 計算。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityInferenceXInferenceX

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。