# Data Lineage and Provenance — Guardrails and Fix Patterns
🧭 Quick Return to Map
> You are in a sub-page of **Governance**.
> To reorient, go back here:
>
> - [**Governance** — policy enforcement and compliance controls](./README.md)
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
>
> 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.
A governance fix page for when **data origin, transformation, and lineage** are unclear or unverifiable.
Use this page when retrieval results cannot be traced back to their dataset source, or when provenance breaks across documents, chunks, embeddings, and answers.
---
## When to use this page
- Retrieval output has no clear link back to its document or section.
- Embedding and chunk pipelines overwrite or drop provenance fields.
- Audit trail is incomplete across ingestion, index, and RAG responses.
- Approvals or waivers exist but cannot be joined to data versions.
- Multi-hop pipelines lose lineage across systems (ETL, embedding, vectorstore, orchestration).
---
## Acceptance targets
- Every retrieved snippet includes `{doc_id, section_id, source_url, offsets, revision}`.
- Lineage fields survive across **document → chunk → embedding → retriever → LLM**.
- Audit joins can reconstruct provenance end-to-end with ≥ 0.95 coverage.
- ΔS(question, retrieved) ≤ 0.45 for governed outputs.
- Waivers and overrides include expiry and accountable owner.
---
## Typical breakpoints and WFGY fix
- **Lost provenance in chunking**
→ [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md)
Ensure chunk metadata carries `doc_id`, `section_id`, and token offsets.
- **Vector store overwrites or strips lineage fields**
→ [vectorstore-fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/vectorstore-fragmentation.md)
Enforce schema contracts on ingestion and retrieval layers.
- **Answers cannot be tied back to original snippet**
→ [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
Require cite-then-explain and enforce snippet ID propagation.
- **Ambiguous approval or version skew**
→ [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md),
→ [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
- **Multi-system lineage gaps (ETL, embedding, RAG orchestration)**
→ [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
Contract schema ensures interoperability across steps.
---
## Minimal governance checklist
1. **Ingest contracts** — Every ETL pipeline attaches `doc_id`, `revision`, and `source_url`.
2. **Chunk schema** — Ensure token offsets and section boundaries are immutable.
3. **Embedding schema** — Carry `embedding_id`, `doc_hash`, and `index_hash`.
4. **Retriever response** — Must include `snippet_id` + lineage fields, not just text.
5. **LLM prompt contracts** — Require cite-then-explain, forbid unlinked spans.
6. **Audit trail** — Every approval and waiver linked to specific dataset version.
---
### 🔗 Quick-Start Downloads (60 sec)
| 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 + \” |
| **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 |
---
### 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 based tension engine |
| Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents |
| 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 checklist and fix map |
| Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline |
| Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer |
| Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix |
| Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 |
| Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers |
| App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot |
| App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS |
| App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control |
| App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo |
If this repository helped, starring it improves discovery so more builders can find the docs and tools.
[](https://github.com/onestardao/WFGY)