WFGY/ProblemMap/GlobalFixMap/Retrieval/checklists/traceability_gate.md

Traceability Gate Checklist

Purpose: enforce cite then explain with a minimal, verifiable payload contract.

---

Required fields per snippet

• snippet_id unique within the corpus
• section_id stable anchor for the document
• source_url resolvable or a content hash if private
• offsets byte or char range within the source
• tokens token range used by the model

Contract details:
Retrieval traceability · Data contracts

---

Schema example

{
  "snippet_id": "sn_9f3a",
  "section_id": "sec_2.3_hydraulics",
  "source_url": "https://example.org/handbook/2024/chap2#sec-3",
  "offsets": {"start": 18342, "end": 18897},
  "tokens": {"start": 1205, "end": 1248}
}

---

Gate checks

• Each answer references at least one snippet with all required fields.
• Offsets resolve back to exactly the cited text.
• Section anchors stable across builds. Hash or ID diff is logged.
• Duplicate or near duplicate snippets collapsed before ranking.
• Formatter and export steps do not rename required fields.
• On failure, publish is blocked and the pipeline returns a structured error.

Refs: Duplication and near duplicate collapse

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Acceptance targets

• 100 percent of published answers pass the schema check.
• For the gold set, human spot check of 20 answers finds zero broken citations.
• ΔS(question, cited_snippet) ≤ 0.45 on average.

---

Minimal policy snippet

Policy:
- Answer only after citing snippets with {snippet_id, section_id, source_url, offsets, tokens}.
- If no snippet qualifies, return "insufficient evidence" with the top 3 candidate snippets and exit.

🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

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Explore More

Layer	Page	What it’s for
Proof	WFGY Recognition Map	External citations, integrations, and ecosystem proof
Engine	WFGY 1.0	Original PDF based tension engine
Engine	WFGY 2.0	Production tension kernel and math engine for RAG and agents
Engine	WFGY 3.0	TXT based Singularity tension engine, 131 S class set
Map	Problem Map 1.0	Flagship 16 problem RAG failure checklist and fix map
Map	Problem Map 2.0	RAG focused recovery pipeline
Map	Problem Map 3.0	Global Debug Card, image as a debug protocol layer
Map	Semantic Clinic	Symptom to family to exact fix
Map	Grandma’s Clinic	Plain language stories mapped to Problem Map 1.0
Onboarding	Starter Village	Guided tour for newcomers
App	TXT OS	TXT semantic OS, fast boot
App	Blah Blah Blah	Abstract and paradox Q and A built on TXT OS
App	Blur Blur Blur	Text to image with semantic control
App	Blow Blow Blow	Reasoning game engine and memory demo

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