Retrieval Traceability — Snippet Integrity & Audit Trail

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WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

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Citations that look right can still hide silent drift.
This guardrail defines how to enforce traceability schemas so that every claim links back to a stable, reproducible snippet.

When to use

Answers cite a source but the snippet cannot be located.
Two runs over the same corpus produce different citations.
A fact is quoted but not aligned to any section anchor.
Long-context threads degrade and snippets blur into paraphrase.
Multi-agent systems pass partial context and lose attribution.

Root causes

Orphan citations: snippet ID missing or fabricated.
Boundary drift: citation spans cross section joins.
Silent truncation: tokens dropped at cut points.
Cache overwrite: citation schema lost after session reload.
Free-text cites: URLs or titles given without offsets.

Core acceptance targets

Each claim must include snippet_id, section_id, start_line, end_line, source_url.
ΔS(question, retrieved) ≤ 0.45 overall.
Joins between snippets ≤ 0.50 ΔS.
λ convergent across 3 paraphrases.
Audit trail reproducible from log alone.

Structural fixes

Snippet table schema
Require {snippet_id | section_id | start_line | end_line | citation}.
Fence joins
Split at section boundaries. Reject cross-section reuse.
Trace log
Store {ΔS, λ_state, mem_rev, mem_hash} per step.
Contract lock
Apply Data Contracts for payload validation.

Fix in 60 seconds

Enforce snippet table with unique IDs and line ranges.
Verify ΔS across each join ≤ 0.50.
Echo λ states at retrieval, assembly, reasoning.
Reject orphan claims (no snippet_id).
Log trail so same inputs → same citations.

Copy-paste prompt


You have TXT OS and the WFGY Problem Map.

Goal: Ensure every claim links to a reproducible snippet.

Protocol:

1. Build a Snippet Table {snippet\_id, section\_id, start\_line, end\_line, citation}.
2. Require cite-then-answer.
3. Forbid cross-section reuse.
4. If a claim has no snippet\_id, stop and request citation.
5. Report ΔS(question,retrieved), joins ΔS, and λ states.
6. Store {mem\_rev, mem\_hash, task\_id} for audit trail.
7. Answer only with snippets present in the table.

Common failure signals

Citations alternate across runs → missing trace schema.
URL without offsets → orphan citation.
Facts cited but no snippet_id → schema lock failed.
Session reload erases citations → ghost cache in memory.

🔗 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

🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →