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Audit and Traceability — Enterprise Knowledge Governance

🧭 Quick Return to Map

You are in a sub-page of Enterprise_Knowledge_Gov.
To reorient, go back here:

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

Guardrails and fix patterns for ensuring AI outputs remain auditable and fully traceable. Use this page when answers appear correct but you cannot prove why or from where the model retrieved content.

When to use this page

  • Citations missing or inconsistent across runs.
  • Same query returns different sources without logged reason.
  • Compliance requires full trace of snippet lineage and ΔS values.
  • Audit logs incomplete or missing λ state transitions.

Core acceptance targets

  • Every output carries {snippet_id, source_url, offsets, tokens, ΔS, λ_state}.
  • ΔS(question, retrieved) ≤ 0.45 for cited sections.
  • Coverage ≥ 0.70 reproducible on three paraphrases.
  • Logs stored with audit_hash to ensure tamper-evidence.

Typical audit problems → exact fix

Symptom Likely cause Open this
Citations missing or drift Snippet schema incomplete retrieval-traceability.md
Wrong snippet cited as anchor Data contract weak data-contracts.md
No proof of ΔS thresholds Observability probes skipped rag-architecture-and-recovery.md
Logs inconsistent across runs λ not recorded or overwritten context-drift.md

Fix in 60 seconds

  1. Add audit schema to every retrieval call: 
    {
  "snippet_id": "DOC-223",
  "source_url": "...",
  "offsets": [120, 245],
  "tokens": 37,
  "ΔS": 0.33,
  "λ_state": "→",
  "audit_hash": "sha256:..."
}

2. **Store ΔS and λ per query**. If ΔS ≥ 0.60, flag as unstable.
3. **Run three-paraphrase test**. If citations change, clamp with BBAM.
4. **Verify reproducibility** with [eval\_rag\_precision\_recall.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval/eval_rag_precision_recall.md).

---

## Copy-paste probe template

```txt
I uploaded TXTOS and WFGY Problem Map.

Run my retrieval through:
- three paraphrases of the same query,
- log ΔS(question, snippet) each time,
- log λ_state for each run,
- return JSON log with snippet_id, ΔS, λ, citation.

Fail if citations drift. Propose fix referencing retrieval-traceability, data-contracts, or context-drift.
```

---

## Escalate when

* Citations drift >20% across runs.
* ΔS logs not reproducible between dev and prod.
* Audit cannot be independently verified by a regulator.

Use [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) for deeper trace diagnostics and [ops/debug\_playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/debug_playbook.md) to reproduce failures.

---

### 🔗 Quick-Start Downloads

| Tool                       | Link                                                                                                                                       | 3-Step Setup                                                                             |
| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
| **WFGY 1.0 PDF**           | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”    |
| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt)                                                                     | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |

---

<!-- WFGY_FOOTER_START -->

### Explore More

| Layer | Page | What it’s for |
| --- | --- | --- |
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |

If this repository helped, starring it improves discovery so more builders can find the docs and tools.  
[![GitHub Repo stars](https://img.shields.io/github/stars/onestardao/WFGY?style=social)](https://github.com/onestardao/WFGY)

<!-- WFGY_FOOTER_END -->

要繼續衝刺嗎？