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153 lines
6.9 KiB
Markdown
153 lines
6.9 KiB
Markdown
# Retrieval Traceability — Snippet Integrity & Audit Trail
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **MemoryLongContext**.
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> To reorient, go back here:
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>
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> - [**MemoryLongContext** — extended context windows and memory retention](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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Citations that look right can still hide silent drift.
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This guardrail defines how to enforce **traceability schemas** so that every claim links back to a stable, reproducible snippet.
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---
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## When to use
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- Answers cite a source but the snippet cannot be located.
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- Two runs over the same corpus produce different citations.
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- A fact is quoted but not aligned to any section anchor.
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- Long-context threads degrade and snippets blur into paraphrase.
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- Multi-agent systems pass partial context and lose attribution.
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---
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## Root causes
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- **Orphan citations**: snippet ID missing or fabricated.
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- **Boundary drift**: citation spans cross section joins.
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- **Silent truncation**: tokens dropped at cut points.
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- **Cache overwrite**: citation schema lost after session reload.
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- **Free-text cites**: URLs or titles given without offsets.
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---
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## Core acceptance targets
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- Each claim must include `snippet_id`, `section_id`, `start_line`, `end_line`, `source_url`.
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- ΔS(question, retrieved) ≤ 0.45 overall.
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- Joins between snippets ≤ 0.50 ΔS.
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- λ convergent across 3 paraphrases.
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- Audit trail reproducible from log alone.
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---
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## Structural fixes
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- **Snippet table schema**
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Require `{snippet_id | section_id | start_line | end_line | citation}`.
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- **Fence joins**
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Split at section boundaries. Reject cross-section reuse.
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- **Trace log**
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Store `{ΔS, λ_state, mem_rev, mem_hash}` per step.
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- **Contract lock**
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Apply [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) for payload validation.
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---
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## Fix in 60 seconds
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1. **Enforce snippet table** with unique IDs and line ranges.
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2. **Verify ΔS** across each join ≤ 0.50.
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3. **Echo λ states** at retrieval, assembly, reasoning.
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4. **Reject orphan claims** (no snippet_id).
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5. **Log trail** so same inputs → same citations.
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---
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## Copy-paste prompt
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```
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You have TXT OS and the WFGY Problem Map.
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Goal: Ensure every claim links to a reproducible snippet.
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Protocol:
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1. Build a Snippet Table {snippet\_id, section\_id, start\_line, end\_line, citation}.
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2. Require cite-then-answer.
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3. Forbid cross-section reuse.
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4. If a claim has no snippet\_id, stop and request citation.
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5. Report ΔS(question,retrieved), joins ΔS, and λ states.
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6. Store {mem\_rev, mem\_hash, task\_id} for audit trail.
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7. Answer only with snippets present in the table.
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```
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---
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## Common failure signals
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- Citations alternate across runs → missing trace schema.
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- URL without offsets → orphan citation.
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- Facts cited but no snippet_id → schema lock failed.
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- Session reload erases citations → ghost cache in memory.
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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|------|------|--------------|
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| **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>” |
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| **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 |
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---
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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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要直接開始 **data-contracts.md** 嗎?
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